\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"2076",leadTitle:null,fullTitle:"Chronic Kidney Disease and Renal Transplantation",title:"Chronic Kidney Disease and Renal Transplantation",subtitle:null,reviewType:"peer-reviewed",abstract:"This valuable resource covers inpatient and outpatient approaches to chronic renal disease and renal transplant with clinical practicality. This first section of the book discusses chronic disease under distinct topics, each providing the readers with state-of-the-art information about the disease and its management. It discusses the fresh perspectives on the current state of chronic kidney disease. The text highlights not just the medical aspects but also the psychosocial issues associated with chronic kidney disease. The latest approaches are reviewed through line diagrams that clearly depict recent advances. The second section of the book deals with issues related to transplant. 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She did her DNB in Nephrology in 2003 under National Board of Examinations, National Academy of Medical Sciences, India in which she secured first rank and gold medal. She acquired her MD in 1998 from Osmania Medical College, Hyderabad and MBBS from SMS Medical College, Jaipur, Rajasthan. She was State topper in 10th Board Examination and has been awarded 12 gold medals till date. She has received the ' Tanker – Young Investigator Award” of Indian Society of Nephrology. She has many publications to her credit both in national and international journals. She is the executive committee member of Young nephrologists’ committee of International society of nephrology. She is also the governing body member of Indian society of nephrology. She has contributed to several textbooks and is the reviewer for Indian and international journals. 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Obesity has reached epidemic levels in the United States, and it is a growing health concern worldwide. It is estimated that one in three adults in the US is obese, while another one in three is overweight [1]. Worldwide, obesity has close to tripled since 1975. In 2016, 13% of adults were categorized as obese and 39% as overweight [2]. Obesity is a risk factor for multiple diseases, including heart disease, stroke, type 2 diabetes, and cancer, and obese individuals have a higher risk of death [1, 2, 3]. In the US, quality-adjusted life years lost to obesity are now higher than those lost to smoking [4].
“Obesity” is most often defined by body mass index (BMI), a calculation based on a ratio of one’s height and weight (kg/m2). “Obese” refers to a BMI of 30 or more, while “overweight” is categorized as a BMI between 25–30 and “normal weight” is defined as a BMI of 18.5–25.
Cancer describes the uncontrolled growth of cells which can metastasize, or spread, to other parts of the body. It can occur in any tissue and can be caused by a variety of environmental and genetic factors. About 15–20% of all cancers are estimated to be caused by being obese or overweight [5, 6]. Obese patients diagnosed with many types of cancers tend to have a worse prognosis, increased risk of metastatic cancers, and a shorter remission period than normal weight individuals [4, 7]. However, some cancers are more strongly associated with obesity than others [4, 7], and the correlation is dependent mainly on tissue type and patient cohort [5]. Cancers that are most closely correlated with obesity include: kidney [8], endometrial [9], ovarian [8], liver [10], pancreatic [11], gastrointestinal [8], colorectal [12], prostate [13], and postmenopausal breast cancer [14]; and multiple myeloma [7, 8, 15, 16]. Postmenopausal women are an especially susceptible patient cohort, as half of all cancers in this group are caused by obesity [5]. The most common cancers caused by obesity in post-menopausal women are breast, endometrial, and ovarian cancers (Figure 1).
Obesity can increase the risk of many cancers, including: cervical, endometrial, uterine, breast, ovarian, thyroid, colorectal, renal, liver, pancreatic, gallbladder, gastric, and esophageal cancer; non-Hodgkin’s lymphoma; and multiple myeloma.
Besides storing lipids, adipose tissue is increasingly being recognized as the largest endocrine organ in the body. The adipose tissue itself is comprised of multiple cell types, including adipocytes, immune cells, and endothelial cells, among others [17]. Adipocytes themselves can secrete a variety of adipokines, hormones, and inflammatory factors [17]. As such, adipocytes are involved in signaling pathways with neighboring cells. Signaling mechanisms in the adipose tissue are altered by obesity and can contribute to cancer development, progression, and drug resistance. Cancers that are in direct contact with adipocytes, such as breast cancer, and even cancers that are in close proximity to adipocytes, such as colon cancer and endometrial cancer, are most susceptible to increased aggression stimulated by adipocyte signaling [17]. This chapter will focus on a few of the mechanisms through which adipocytes affect the tumor microenvironment (TME), including insulin resistance and hyperinsulinemia, sex steroid hormone signaling, changes in the adipokine profile, and chronic inflammation and hypoxia.
Generally, adipose tissue is divided into two main groups: visceral adipose tissue (VAT), which surrounds internal organs, and subcutaneous adipose tissue (SAT), which is located just under the skin. These two types of adipose tissue show large differences in metabolic activity and influence on disease risk [18]. Generally, both SAT and VAT increase in volume in obesity. However, too much VAT is associated with more negative health effects than SAT.
Visceral obesity, rather than subcutaneous obesity, increases the risk of multiple diseases including cancer [18]. This phenomenon is manly a result of the differing physiological roles of VAT and SAT. VAT acts as an endocrine organ and can signal other parts of the body via adipokine and cytokine secretion [18]. It also contains more immune cells and is more highly vascularized than SAT [19]. VAT adipocytes are generally more metabolically active than SAT adipocytes [19], and as such, most of the changes that occur to adipose tissue during obesity occur in VAT rather than in SAT [19]. Overall, VAT is a stronger predictor of mortality due to obesity than SAT [19], especially when the VAT surrounding abdominal organs is high [18].
SAT acts as more of a storage tissue than VAT, as SAT adipocytes absorb free fatty acids and store them as triglycerides [19]. Increased SAT is generally not strongly associated with obesity-related cancers [18], with the exception of abdominal SAT. Multiple studies have shown that increased abdominal SAT can promote cancer growth progression, sometimes independently of overall adiposity [15, 20]. SAT (excluding abdominal SAT) has actually shown a somewhat protective role in cancer. Patients with more SAT generally have increased survival rates after treatment than those with less SAT [21].
This paper will focus on VAT, as this tissue type is most strongly correlated with cancer risk. Thus, references made to obesity and adipocytes throughout the rest of this paper refer to VAT.
Insulin is a hormone that is primarily responsible for stimulating glucose uptake and storage, but it is involved in multiple evolutionarily conserved pathways involving cell growth and proliferation [22, 23]. This pluripotency is not unusual. Signaling pathways related to nutrient availability and growth are closely related, as uptake of nutrients is essential for supporting growth on both a systemic and intracellular level in the body [24].
Obesity, which is characterized by an excess of nutrient availability, stimulates the body to increase insulin secretion and continually activate growth pathways. In this way, obesity can change the balance of inter- and intracellular signaling that controls cycle progression, growth, proliferation, and angiogenesis. Any of these effects in excess can contribute to neoplastic transformation, and since these pathways are highly conserved and interconnected, any alterations to one pathway risk overcompensation through another [24]. Thus, the increase in insulin secretion and growth activation caused by obesity can directly contribute to tumor development and progression.
Insulin is secreted by pancreatic beta cells when serum glucose levels are elevated. The insulin then enters the bloodstream and binds insulin receptors (IR) on the plasma membrane of target cells. IRs are a type of receptor tyrosine kinase (RTK). Thus, binding of the ligand causes autophosphorylation of the tyrosine residues on the cytoplasmic tails of IRs, activating signaling pathways related to cell growth, proliferation, and glucose metabolism [5, 24, 25] (Figure 2).
IR and IGF-1R can activate the same signaling pathways. In normal cells, stimulation of either receptor activates pathways related to cell growth and proliferation. IR is also responsible for regulating glucose metabolism, while IGF-1R activates signaling pathways related to evasion of apoptosis, metastasis, and angiogenesis. In obesity, this specificity is lost. Treatment with metformin activates AMPK signaling, which blocks many of the pathways activated by AKT and can decrease tumor growth and progression.
There are two isoforms of IRs that are created by alternative splicing of the insulin receptor (INSR) gene: IR-B and IR-A. IR-B is expressed at high levels in adipocytes, hepatocytes, and muscle cells, as it is the isoform that regulates glucose metabolism [26]. IR-A is usually expressed at low levels in most normal cells compared to IR-B, but it is the isoform that is often over-expressed in cancer cells [26].
Insulin-like growth factors (IGFs) are endocrine hormones that are homologous to and have a similar mechanism of action as insulin [24, 27]. While insulin is primarily involved in glucose metabolism via IR/PI3K signaling, IGFs are directly responsible for stimulating cell growth and proliferation via IGF-1 receptor (IGF-1R)/mitogen activated protein kinase (MAPK) signaling (Figure 2). However, IR and IGF-1R signaling overlap to a large extent, and the exact conditions that determine their specificity are not well understood [23].
There are two main types of IGFs, IGF-I and IGF-II, both of which are secreted by the liver in response to other growth hormones [5, 24]. Once in the tissue and bloodstream, IGFs are generally bound by IGF binding proteins (IGFBP), which both increase the half-life of IGFs [27] and prevent them from binding receptors [24, 27]. When serum glucose levels are elevated, IGFs dissociate from their binding proteins. IGF-1 can then bind IGF-1 receptor (IGF-1R), an RTK that is similar to IR [24], or, with lower affinity, IR-A [23]. Binding of IGF-1 to its receptor can activate MAPK signaling, inhibit p53, or stimulate hypoxia-inducible factor 1 alpha (HIF-1α) expression. The result of these pathways are cell growth and proliferation, evasion of apoptosis and metastasis, and angiogenesis, respectively [5]. IGF-II can bind both IGF-1R and IR-A with high affinity [5] and IR-B with low affinity [23].
Insulin and IGF signaling pathways are highly conserved, as they are essential for normal development [24, 27]. As such, disruptions in the balance of signaling through these pathways, such as changes in metabolism associated with obesity, can lead to cancer development and progression.
In obese individuals, glucose is constantly produced in the liver in response to nutrient excess, and adipose tissue over-secretes insulin in response. However, chronic over-secretion of insulin can lead to insulin resistance. This condition occurs when the body only minimally responds to insulin and thus cannot metabolize glucose. To compensate, beta cells secrete even more insulin, causing hyperinsulinemia [5]. The high serum insulin levels caused by hyperinsulinemia have multiple physiological effects that can contribute to cancer progression.
High serum insulin levels can increase production of IGF-1, which, as discussed earlier, activates signaling pathways related to growth, proliferation, evasion of apoptosis and metastasis, and angiogenesis [5]. Cancer cells can then use these pathways to meet their high metabolic demands [24]. Insulin can stimulate production of growth hormone receptor (GHR), which, when bound to its ligand, stimulates hepatic synthesis of IGF-1 [5]. Insulin can also decrease production of IGFBP-1 and 2. This decrease leads to an increase in free IGF-1 in the serum [5].
Increased insulin and IGF-1 serum levels can cause overproduction and overstimulation of IR-A and IGF-1R, which is a phenomenon that is commonly observed in cancer cells [23]. The signaling pathways activated by IR and IGF-1R overlap, so overstimulation of both receptors leads to amplification of shared pathways such as mTOR and MAPK. As a result, excessive cell growth and proliferation can be stimulated [23]. The specific functions of insulin, IGFs, IR, and IGF-1R also often become convoluted in the context of cancer. In normal cells, IR is mainly responsible for controlling metabolism, while IGF-1R is more involved in regulating cell growth [23]. However, because IR and IGF-1R are highly homologous, a hybrid of the two receptors can form when they are both overexpressed. The hybrid has a higher affinity for IGF-1 than for insulin, which amplifies IGF signaling and thus contributes to cell growth, proliferation, and evasion of apoptosis. This hybrid can be expressed in normal cells, but it tends to be expressed more highly in cancer cells, especially of the breast and thyroid [5].
Some cancer treatments target IGF-1R, as this receptor is more historically known for its role in regulating cell growth. However, while preclinical studies targeting this receptor were promising, clinical studies were widely unsuccessful, and many were terminated [23, 28]. Moreover, sensitivity to IGF-1R inhibition varies widely among tumors even though most have an overexpression of IGF-1R [23, 28, 29]. Current studies are focusing on finding biomarkers that can predict sensitivity to IGF-1R inhibition [28]. Other studies aim to determine whether combination therapy might make IGF-1R inhibition more viable, such as IGF-1R inhibitors given with mTOR or IR inhibitors [28]. Since the functions of IGF-1R and IR overlap in the context of cancer, signaling through IR may be a mechanism of resistance to IGF-1R inhibitors. Some studies are researching whether targeting both IGF-1R and IR can prevent resistance from developing to IGF-1R inhibitors [23].
Other studies aim to determine whether common drugs used to treat diabetes, such as metformin, can have anti-cancer effects. So far, these studies have shown promising results. Metformin is used to decrease serum levels of insulin and hepatic glucose production in diabetic patients. However, metformin has been found to also increase AMPK production via inhibition of mitochondrial complex I. AMPK can then increase in insulin sensitivity and inhibit the mTOR/AKT pathway, which decreases glycolysis and lipid synthesis [30] (Figure 2). Both animal and clinical studies thus far have shown that metformin can decrease the risk of tumor development and progression, though the exact mechanisms of action of the drug have yet to be elucidated [23]. The main side effect of the drug is gastrointestinal disturbance, which occurs in about 30% of patients [30].
In summary, hyperinsulinemia is a common condition in obesity that is characterized by over-secretion of insulin and IGF-1. Both of these factors can contribute to overexpression of IR, IGF-1R, and the IR-A/IGF-1R hybrid, which can dysregulate growth and metabolism and have tumor-promoting effects.
It is already well-established that obesity can directly increase the concentration of circulating sex steroid hormones (SSH), especially estrogen. As such, obesity is a known risk factor for cancers that can be caused in part by increased levels of these hormones, such as breast, endometrial, uterine, ovarian, and prostate cancers [5, 6, 24].
Estrogen is formed from the aromatization of androgens such as testosterone and androstenedione [24]. In premenopausal women, this aromatization takes place mainly in the ovaries [24], but it shifts to the adipose tissue and epidermis in postmenopausal women [17]. Estrogen production occurs primarily in the testes of men [31]. Once in circulation, estrogen can have multiple physiological effects.
Estrogen can bind ERs on cells to stimulate cell division [4], cell cycle progression [32], and increase proliferation and angiogenesis [24]. ER activation is a major contributor to cancer progression in ER+ breast cancers. ER+ breast cancers account for approximately 70% of human breast cancers overall [33], and obesity is known to increase the risk of these cancers in postmenopausal women [34]. In these cancers, overactive ER signaling can cause DNA damage by dysregulating genes that control cell cycle, such as Cyclin D1. Overactive ER signaling can also increase the formation of R-loops in genes that are activated by estrogen. R-loops are formed when newly-synthesized RNA binds its DNA template, and they can regulate certain aspects of transcription. However, in the context of ER overstimulation, an excess of R-loops can lead to double-stranded breaks in genes activated by estrogen, contributing to genome instability and dysregulation of cell growth and proliferation [32, 35]. Hormone therapy is often given post-surgery in ER+ breast cancers, which has been shown to improve survival and decrease the risk of relapse [33], illustrating the large extent to which ER signaling contributes to cancer progression.
The increased levels of estrogen caused by obesity can also increase IR-A expression and amplify IGF signaling in breast cancer. These factors can contribute to IGF-1R inhibitor resistance and inhibition of apoptosis, respectively, as discussed in the previous section [4, 5]. In addition, estrogen can act as a mitogen, activating MAPK pathways and RTKs that, like ER, lead to cell cycle progression, proliferation, and survival [5].
There are a few mechanisms that control the increase in circulating SSH caused by obesity. Adipose tissue can produce aromatase, and increased adiposity is correlated with an increased production of the enzyme. Aromatase stimulates the conversion of androgens to estrogens in both men and postmenopausal women. In excess, the enzyme can increase circulating concentrations of the estrogen estradiol, which can cause DNA damage as discussed [4]. This signaling mechanism is a likely explanation for why breast cancer risk increases with BMI in postmenopausal women that do not receive hormone replacement therapy [24]. Adipose tissue can also decrease production of globulins, which would otherwise bind and inhibit the activity of hormones such as estradiol [24], contributing to DNA damage.
Severe obesity can also modulate other molecules that can contribute to cancer risk and progression. The concentration of circulating glucocorticoids, hormones that act to negatively regulate cell cycle and decrease inflammation, can be downregulated [24]. Severe obesity can also stimulate an increase in serum concentrations of IGF-1 and the pro-inflammatory cytokine IL-6. Both of these molecules can activate the androgen receptor and contribute to survival and proliferation in prostate cancer [24].
Adipokines are cytokines that are secreted by adipose tissue. These adipokines can play important roles in metabolism, endocrine activities, satiety, and inflammation [5, 17, 24]. However, adipokines can also both contribute to and suppress tumorigenesis. Obesity is generally correlated with a decrease in tumor-suppressing and an increase in tumor-promoting adipokines. There are multiple types of adipokines, but the most well-researched and abundant adipokines in the human body are leptin and adiponectin [5].
Leptin is the most well-known adipokine, and its main function is to suppress appetite [24]. It is secreted by adipose tissue in response to nutrient availability, and it binds leptin receptors on cells such as neurons, skeletal muscle cells, adipocytes, and epithelial cells [26]. This binding signals a decrease in appetite and creates a negative feedback loop between adipose tissue and the central nervous system [24].
Leptin production increases proportionally with body fat. However, leptin resistance often develops in the context of obesity. This resistance occurs because the adipose tissue in obese patients produces excessive amounts of leptin, which overstimulates leptin receptors. The receptors then become less sensitive to the adipokine, and in response, the adipose tissue secretes even more leptin [26, 36]. As a result, obese patients often experience a dysregulation in appetite where they do not feel satiated even when their body has taken in all necessary nutrients because their bodies do not respond to leptin.
Leptin has other important physiological functions besides appetite suppression. When bound to their ligand, leptin receptors can activate the PI3K, MAPK, and JAK/STAT signaling pathways. All of these pathways lead to either inflammation, cell growth and proliferation, angiogenesis, or prevention of apoptosis [5, 24]. Since leptin is often over-secreted in obesity, this adipokine is known to contribute to the systemic inflammation observed in many obese patients [17, 24, 26], which will be discussed in later sections of this chapter.
Leptin is also a likely link between obesity and cancer. Most studies researching leptin and cancer have been done in a breast cancer model. These studies have found that leptin increases aromatase expression, which upregulates estrogen production and ER signaling [5]. As discussed previously, ER signaling stimulates cell division, proliferation, and angiogenesis, and it prevents apoptosis [4, 24], all of which can contribute to tumorigenesis and cancer progression. Other studies have found that leptin may activate proliferation and survival of cancer cells in
Adiponectin is the most abundant cytokine in the body, and it is the main hormone produced by adipose tissue [7]. The major roles of adiponectin are to increase sensitivity to insulin [7] and increase energy expenditure [26]. By increasing insulin sensitivity, adiponectin can help prevent the development of insulin resistance and thus can help control glucose metabolism and growth [37]. Adiponectin can also inhibit angiogenesis and migration [37], stimulate apoptosis [24], and downregulate vascular endothelial adhesion molecules and decrease inflammation [37].
Adiponectin has a protective role in carcinogenesis [37], but serum levels of adiponectin tend to decrease with increased BMI and visceral adiposity [26]. Adiponectin activates the AMPK pathway, which can inhibit mTOR and cause cell cycle arrest [37]. It also inactivates MAPK1/3 and ERK1/2 and can stimulate apoptosis by inducing expression of p53 and Bax and decreasing expression of Bcl-2 [5]. However, estrogen and insulin both can suppress adiponectin secretion [5]. Thus, there is a complex balance of sex hormones, insulin, and adipokines that contribute to both obesity and cancer.
Current studies have shown the beneficial effects of adiponectin in cancer. Breast cancer risk is lower when serum levels of adiponectin are elevated in both pre and postmenopausal women [5]. Similarly, increased levels of adiponectin are associated with decreased risk of endometrial, colon, and prostate cancers [4]. Adiponectin has also been shown to inhibit growth in
Other adipokines besides leptin and adiponectin exist. Resistin may be involved in promoting inflammation and angiogenesis, which can contribute to tumorigenesis [4]. Plasminogen activator inhibitor type 1 (PAI-1) is generally used as an indicator of poor prognosis in breast cancer, especially in obese women [5]. High levels of PAI-1 often indicate low peroxisome proliferator-activated receptor gamma (PPARγ) function, which is a receptor that induces apoptosis and decreases proliferation. However, PPARγ expression is often downregulated in obesity. PAI-1 can also inhibit apoptosis and induce inflammation, neutrophil recruitment, proliferation of smooth muscle cells, cell adhesion, and migration, all of which can contribute to tumorigenesis [5]. Growth-regulated oncogene alpha (GRO-α), tissue inhibitor of metalloproteinases 1 (TIMP-1), and thrombopoietin (TPO) are adipokines that tend to be over-secreted in obesity and are believed to promote carcinogenesis. GRO-α can promote inflammation and tumorigenesis; GRO-α and TIMP-1 can promote cell proliferation, angiogenesis, and prevent apoptosis; and TPO can stimulate cell proliferation and differentiation of megakaryocytes [5].
The chronic nutrient overload that is characteristic of obesity contributes to inflammation and hypoxia both in adipose tissue and systemically. These effects can impact the tumor microenvironment (TME) to promote tumorigenesis and cancer progression through a variety of mechanisms.
In general, chronic nutrient overload leads to chronic inflammation of the adipose tissue, which is characterized by a sustained increase in inflammatory cytokines and infiltration of macrophages. Levels of adiponectin decrease, while leptin levels increase [26]. The inflammation can also induce hypoxia in the tissue, which can in turn induce more inflammation. Hypoxia is a state of low oxygen. One of the hallmarks of hypoxia is an increase in production of reactive oxygen species (ROS), which can mutate the DNA of nearby cells. These mutations can give cells a potentially cancerous phenotype. In these ways, chronic inflammation and hypoxia can contribute to tumorigenesis and cancer progression [17].
The TME describes the cellular environment that surrounds and feeds a tumor. Once a tumor is established, cells in the TME begin to behave in ways that promote the growth of the cancer. Normal mechanisms for blocking inflammation and encouraging immune surveillance are lost, and metabolic signaling is altered in order to promote the increased energy demand of rapidly-dividing cancer cells. This section will briefly outline the role of obesity-induced inflammation and hypoxia in carcinogenesis and in the TME overall.
The most notable effect of chronic inflammation in adipose tissue is an over-secretion of leptin, an adipokine that was discussed previously in this chapter. Leptin can in turn induce more inflammation and hypoxia.
Leptin can stimulate cells in the TME to increase transcription of signaling molecules such as nitric oxide (NO) and cyclooxygenase-2 (COX-2) [17]. NO is synthesized by nitric oxide synthases (NOS). The main role of NO is to respond to infection by causing inflammation and tissue damage. In excess, NO destroys enough tissue to induce a state of hypoxia, which is most often the case in the TME and in obesity. This tissue destruction stimulates more inflammation as a result of innate immune cell activation, further exacerbating the cycle. COX-2 upregulates production of prostaglandins, which are precursors for inflammation, proliferation, and survival. It is downstream of NF-kB, which can be activated by the proinflammatory cytokine IL-1β. Overexpression of COX-2 has been observed in cancers including those of the prostate, colon, breast, lung, cervix, pancreas, skin, intestine, and stomach [38], and increased IL-1β expression in tumor cells is correlated with poor prognosis [17].
Leptin can also stimulate innate immune cells in the TME to secrete proinflammatory cytokines including IL-1, IL-6, TNFα, and IFNγ. IL-1 and IL-6 are used as markers for poor prognosis in many obesity-related cancers. IL-1 can activate NF-kB signaling to stimulate cytokine production and cell survival. IL-1 signaling through NF-kB also upregulates expression of hypoxia inducible factor 1 (HIF-1) in the context of obesity-induced inflammation, which induces hypoxia in the adipose tissue and supports angiogenesis, inflammation, and increased energy metabolism [26]. HIF-1 is correlated with increased metastatic spread and poor prognosis of cancer [5].
IL-6 expression is known to be elevated in obese patients [26]. It induces hypoxia in the adipose tissue, and it also stimulates angiogenesis, proliferation, and survival via the JAK/STAT signaling pathway [17]. Like IL-6, TNFα is commonly over-expressed in obese patients. However, TNFα is involved in all stages of tumorigenesis including cell proliferation, transformation, angiogenesis, invasion, and metastasis of cancer cells. TNFα may also stimulate an increase in ROS, which, as discussed, can cause potentially carcinogenic mutations in nearby cells [26].
The role of IFNγ is closely intertwined with T cell signaling in the adipose tissue. IFNγ stimulates naïve CD4+ T cells to differentiate into the type 1 subset (Th1), and it blocks differentiation into other subsets such as type 2 and type 17 helper T cells (Th2 and Th17, respectively). Th1 cells are effector T cells that stimulate macrophages to phagocytose foreign microbes in the body, and they both secrete and are stimulated by IFNγ [39]. Thus, a positive feedback loop occurs in obesity where over-secretion of leptin promotes IFNγ secretion, which stimulates Th1 differentiation, which increases IFNγ secretion. IFNγ can then induce polarization of adipose tissue macrophages (ATMs) to the classical, or M1, phenotype. ATMs are innate immune cells that reside in the adipose tissue, and they are mainly responsible for clearing dead cells and debris [40]. Under normal conditions, the M1 phenotype generally induces an anti-microbial response [41]. It predominates in obese patients, and when activated, M1 ATMs secrete proinflammatory cytokines such as TNFα and IL-6. These cytokines can increase NO concentration in the adipose tissue and contribute to adipose tissue hypoxia. The overall result of M1 ATMs in obese patients is insulin resistance, inflammation, and hypoxia-induced tissue damage [26] (Figure 3).
Chronic nutrient overload, which is characteristic of obesity, can lead to chronic inflammation in the adipose tissue. This inflammation upregulates leptin secretion by adipocytes, which stimulates insulin resistance and IFNγ secretion by innate immune cells. IFNγ blocks differentiation of CD4+ T cells into the Th2 subtype, which would otherwise secrete anti-inflammatory cytokines, induce M2 polarization of ATMs, and block chronic inflammation. Instead, IFNγ stimulates differentiation of CD4+ T cells into the Th1 subtype, which secretes more IFNγ and induces M1 polarization of ATMs. These ATMs secrete more TNFα and IL-6, which contributes to adipose tissue hypoxia, chronic inflammation, and insulin resistance.
The alternative, or M2, phenotype of ATMs generally induces immune tolerance and tissue remodeling under normal conditions [41]. It predominates in lean patients. These ATMs repair damaged tissue, prevent inflammation from starting, and inhibit insulin resistance. M2 ATMs are activated by anti-inflammatory cytokines secreted by CD4+ type 2 helper T cells (Th2), which include IL-4, IL-10, and IL-13 [26] (Figure 3). Since M2 polarization is blocked by IFNγ, levels of M2 ATMs tend to be reduced in obese patients [17].
Cells and signaling pathways in the TME are altered by the tumor itself in order to promote cancer growth. Generally, the TME is characterized by an increase in inflammation and a decrease in immune surveillance. Adipocytes play a central role in these processes as they are on the interface of cell metabolism and the body’s immune response to the tumor. However, the role of adipocytes in the TME is still poorly understood as adipocytes were only recently recognized to have functions besides energy storage.
In direct contrast to the macrophage profile seen in obese patients, M2 macrophages in the TME exist in much higher numbers than their M1 counterparts. Tumor associated adipocytes (TAA), which are adipocytes that are in close proximity to and signal tumor cells, can induce M2 polarization [41]. The macrophages can also be repolarized, or the tumor can recruit M2 macrophages. In the TME, M2 macrophages promote tumor progression via angiogenesis, tissue repair, and secretion of anti-inflammatory cytokines. These cytokines can induce differentiation of T cells into regulatory T cells (Tregs), which prevent the host from mounting an immune response to the tumor. M1 macrophages inhibit tumorigenesis as they can recognize tumor cells as they would a foreign microbe. The M1 macrophages can then phagocytose the tumor cells or release toxins to destroy them. Thus, while M1 macrophages predominate in the adipose tissue of obese patients, the TME induces an increase in M2 polarization. In this way, the ATM profile in obesity may contribute to the inflammation needed to promote the early stages of tumor formation. In later stages, the TME flips the M1:M2 ratio in order to suppress the host’s immune response [41].
One of the characteristics of obesity is increased adipocyte death. If this increase in adipocyte cell death occurs in close proximity to a tumor, it can help fuel the growing cancer. The presence of dying adipocytes recruits M1 macrophages, which form crown-like structures (CLSs) around the cells to eliminate them [41]. The CLSs cause a release of DNA from the dying adipocytes into the tissue, which is recognized by toll-like receptor 9 (TLR-9) on macrophages. The macrophages mount a response, recruiting more monocytes to the site of the CLS and inducing more inflammation. The action of CLSs on adipocytes also causes a release of free fatty acids (FFA) into the tissue, which the tumor cells can use for fuel [41].
The “Warburg Effect” describes the change in metabolism from oxidative phosphorylation (OXPHOS) to glycolysis that cancer cells exhibit, and this change may explain some of the immunosuppressive effects of the TME. It is known that the TME has only a small number of effector T cells, which would otherwise detect and eliminate cancer cells. Most cells in the body use OXPHOS for ATP production, but activated CD8+ T cells tend to use glycolysis. Cancer cells also use glycolysis to produce ATP. As a result, cancer cells and effector T cells in the TME compete for the same nutrients. The cancer cells ultimately win, preventing the T cells from meeting their metabolic demands and halting their proliferation near the tumor [42]. Many oncogenes involve activation of glycolytic pathways, while many tumor suppressor genes induce OXPHOS. CD4+ T cells tend to be less affected by the Warburg Effect, however, as they can utilize both glycolysis and OXPHOS to produce ATP. Unstimulated T cells, which do not rapidly divide, use OXPHOS [42].
There are also other mechanisms that contribute to immune suppression in the TME. Tumor cells can stimulate macrophages to produce arginase 1 and the anti-inflammatory cytokines IL-4 and TGFβ. All three factors recruit monocytes to the tumor microenvironment, which in turn recruit tumor-associated macrophages (TAMs). TAMs have multiple effects. They secrete vascular endothelial growth factor (VEGF) and fibroblast growth factor (FGF), which induce angiogenesis and metastasis, respectively. TAMs also block activation of most CD8+ T cells and some CD4+ T cells, which decreases immune surveillance similarly to the Warburg Effect. At the same time, TAMs recruit Tregs to the TME and secrete TGFβ and IL-10, which induce Treg differentiation. The TGFβ can also recruit more monocytes, beginning the cycle again [17].
The presence of Tregs and the decrease in activated T cells play an important role in the ability of the cancer to develop. Tregs are immunosuppressive, and in the context of the tumor microenvironment, they prevent the host from mounting an immune response against the tumor. Interestingly, leptin can both induce and prevent differentiation of T cells into Tregs. IFNγ secretion, stimulated by leptin, can directly block Treg differentiation. However, the proinflammatory cytokines secreted by Th1 T cells, whose differentiation can be induced by leptin, can stimulate tumor cells to secrete C-C motif chemokine 22 (CCL22). This chemokine recruits Tregs to the TME [17, 42, 43]. It is important to note that while Tregs act to suppress the immune system in most cancers, there are some exceptions. Tregs can help slow tumor growth in colorectal cancers, as the Tregs can act to decrease the inflammation needed by the cancer to grow. However, this effect is likely caused by the gut microbiota [44].
The TME can also control adipose-derived stem cell (ASC) activity and fate in order to support cancer growth. ASCs are multipotent stem cells in the adipose tissue. In the context of the TME, ASCs can be induced to secrete matrix metalloproteinases (MMPs). MMPs degrade the extracellular matrix and allow cancer cells access to blood vessels to metastasize to other parts of the body. ASCs can also induce Treg differentiation in a similar manner as TAMs: via TGFβ and IL-10 secretion. Alternatively, the TME can induce ASC differentiation into cancer-associated fibroblast (CAFs) [17], which can then secrete chemokines and growth factors that activate pathways related to cell growth and survival [45].
The TME can also induce hypoxia via anaerobic respiration, even in the presence of oxygen [46]. Under hypoxic conditions, ASCs are recruited to the tissue and are stimulated to secrete VEGF. This allows formation of blood vessels and angiogenesis [17]. Adipocytes can also contribute to angiogenesis in the TME. Adipocytes in obese patients have a higher expression of HIF-1α, which is largely because the adipocytes are rapidly expanding and proliferating in response to nutrient excess. This HIF-1α simulates VEGF secretion. Hypoxia in the adipose tissue also induces IL-6 secretion, which can promote insulin secretion [46].
HIF-1α is a transcription factor that activates hypoxia response elements. In normal conditions, it is hydrolyzed by prolyl hydroxylase domain proteins (PHDs) and ubiquitinated by Von Hippel-Lindau (VHL), which prevents the transcription factor from activating its targets. In hypoxia, however, PHDs and VHL are inhibited. HIF-1α can then bind and activate genes that induce macrophage infiltration and inflammation [46].
HIF-1α can also regulate expression of glycolytic enzymes. This effect is especially important during the metabolic reprogramming that occurs as a result of the Warburg Effect. Most notably, lactate dehydrogenase alpha (LDHα) is transactivated exclusively by HIF-1α. LDHα is responsible for converting pyruvate to lactate during glycolysis in cancer cells [46].
In addition to activating glycolytic pathways, HIF-1α can also block OXPHOS. One of the genes that HIF-1α activates is miR-210, a type of miRNA that is overexpressed in hypoxia in many cancer cells. miRNAs are small stretches of RNA that can bind an inhibit expression of target genes. As such, miR-210 is used as a biomarker for tumor hypoxia and is generally correlated with a worse prognosis. miRNAs bind mRNA to block their transcription, and miR-201 binds mRNAs that are needed for mitochondrial activity. miR-210 can also stabilize HIF-1α, which allows the transcription factor to bind and activate hypoxia-inducing genes. In this way, miR-210 can also contribute to increase hypoxia [46].
Obesity can contribute to cancer progression through a variety of mechanisms. However, the main effects of obesity in the context of cancer are activation of pathways that lead to drug resistance, inflammation, and dysregulation of sex hormones and adipokines. The adipokine leptin plays a central role in the contribution of obesity to cancer progression, as it is over-expressed in obesity and contributes to insulin secretion and inflammation. Estrogen, IGF-1, and inflammatory factors also play pivotal roles cancer progression in the context obesity. However, the mechanisms discussed in this chapter are by no means an exhaustive list of what is known, and more research must still be done to completely understand the interplay between adipose tissue and the tumor microenvironment.
Resilience is a key factor for protecting and sustaining healthy psychological functioning after exposure to stress and trauma. The first year of the pandemic has resulted in significant increases in a number of mental health problems, including increased anxiety, depression, suicidal ideation, and alcohol abuse, among others [1]. Despite the general increases in mental health problems during the pandemic, there has also been considerable variability in the magnitude of these effects, suggesting that many people have demonstrated remarkable resilience in the face of uncertainty and adversity. It is critical that we identify the factors that have contributed to these positive outcomes. Furthermore, as the recovery continues, we need to identify methods for bolstering resilience and protecting individuals against future adversities. Previous research has shown that sleep is a vital component of resilience and is significantly related to mental health outcomes. However, sleep was one of the major health outcomes that was negatively impacted during the pandemic, potentially hampering resilience in many people. In this chapter, we will discuss the relationship between resilience and psychological outcomes before and during the COVID-19 pandemic, with particular focus on sleep as a key contributor to resilience and mental health outcomes. We will first review the existing literature on these topics and then present concrete, empirically based suggestions on how to improve sleep and bolster resilience during the pandemic and other similar crises.
Resilience can be defined as one’s ability to successfully and positively adapt to, and overcome, adversity [2]. This definition can be extended to mental health outcomes when an individual is faced with a traumatizing situation or other potentially life changing adversity [2, 3]. Furthermore, while resilience may include many stable traits and capacities within an individual, most view the expression of resilience as a dynamic process with a trajectory that can change throughout a person’s life [2, 4]. Personal resilience can ebb and flow throughout the course of our lives depending on various personal biological, environmental, or systemic factors [3]. Thus, resilience is an evolving interaction among our character traits, biological propensities, and the environment that allows us to positively adapt and bounce back from adversity.
Importantly, resilience is not generally conceptualized as simply the absence of mental disorders, as posttraumatic stress reactions and other adverse stress-related outcomes can still occur concurrently with resilience-related growth [4]. Instead, resilience refers to one’s personal ability to overcome adversity and mitigate the effects of stress on the development or worsening of mental disorders [5, 6]. Likewise, resilience can also be a mechanism for accelerating recovery from adversity-related mental health problems such as posttraumatic stress disorder (PTSD) [5, 7]. While mental health research has typically focused on the risk factors for psychiatric disturbances, recent work has incorporated resilience into models of mental health to study factors that facilitate positive mental health outcomes following perceived adversity [5]. It is critical that we examine the role of resilience during the COVID-19 pandemic, which has had a significant impact on life functioning and well-being for millions of people worldwide.
The COVID-19 pandemic has resulted in a significant decline in mental health across the globe and it is clear that this has become a co-occurring public health crisis [8]. The combined impact of COVID-19 on major life domains such as social life, occupational status, and financial security has proven to be a significant source of adversity. While many individuals found these adversities nearly insurmountable, others seemed to find ways to cope effectively in the moment, and still others may have been initially overwhelmed but were able to “bounce back” and extract the positives from an otherwise bleak situation. This bounce back capacity can act as a buffer against the onset or worsening of psychological distress and mental disorders [2]. In the context of the first year of the pandemic, researchers found resilience to be inversely related to depression [9, 10]. and anxiety [9, 10, 11, 12]. Individuals with higher measured resilience at the beginning of pandemic experienced markedly lower levels of psychological distress compared to those with average or below average resilience, who experienced increased distress over the course of the pandemic [13]. These findings exemplify how resilience can sustain psychological health during persistent exposure to stress, and even more importantly, why it is critical to foster resilience over these prolonged periods of adversity.
But how do individuals remain resilient during prolonged stressful experiences like the COVID-19 pandemic? The use of resilience-based strategies to cope with stress, such as employing a positive appraisal style (i.e., trying to see the positive aspects of a threatening situation and telling oneself there are worse things in life) [14, 15] or using adaptive coping skills (e.g., active coping, planning ahead, positive reframing) [6, 16, 17] have been found to reduce pandemic-related stress and protect against poor mental and physical health outcomes related to stress. Importantly, one of the most consistent factors related to resilience and mental health is perceived social support. Unfortunately, the primary mitigation strategy during the first year of the COVID-19 pandemic involved a combination of social isolation (e.g., lockdowns; quarantines; stay-at-home orders), social distancing, and face coverings, which may have all contributed to a reduction in perceived social support for many individuals. These factors led to early feelings of loneliness, increased depression, anxiety, and suicidal ideation [1, 12, 18, 19]. As the pandemic response moves into the next phases, it will be important to find healthy ways to facilitate adequate social support and human contact while safely addressing infection spread.
In addition to perceived social support, another key factor related to resilience that needs to be considered is sleep health. Because sleep is vital to normal emotional functioning, it provides the bedrock foundation for resiliency. As we will discuss in the following sections, sleep is a critical aspect of psychological functioning and resilience, and it has also been significantly impacted by the COVID-19 pandemic.
When COVID-19 first emerged, because it was a novel virus, there was a lack of existing information on critical epidemiological factors, like how the virus was spread, how to contain the virus, who was most at risk, and how infectious or how lethal the virus was, contributing to an overwhelming feeling of uncertainty for many. Additionally, many people experienced ongoing disruptions to their usual daily routines due to the various sociocultural changes enacted to mitigate the spread of the virus. Combined, these factors may have contributed to the significant negative impact of the pandemic on sleep health, with many studies reporting a sharp increase in sleep disturbances, including insomnia. The pandemic and its related stressors may have contributed to both a magnification of pre-existing sleep difficulties and also the rise of new-onset sleep problems for many [20, 21, 22].
During the first year of the pandemic, several studies reported on the prevalence of general sleep problems. In a global online cross-sectional survey of 59 countries, over a third of participants reported having more trouble falling asleep or more frequent night waking compared to before the pandemic [23]. In France, 74% of respondents endorsed having sleep problems or trouble sleeping over the previous week compared to 49% reported in 2017 [22]. In the United States, the number of adults experiencing any difficulties falling asleep and staying asleep nearly doubled from 2018 to 2020 [21].
Overall sleep quality has also been impacted by the pandemic. A global online cross-sectional survey involving 63 countries reported the prevalence of poor sleep quality to be 73% [24], while other cross-sectional reports from Italy listing the prevalence ranging from 52.4% [25] to 81% [26], with other countries also falling within that range [27, 28, 29]. Several longitudinal studies were able to describe changes in overall sleep quality reported before and during the pandemic. In India, around a quarter of those surveyed reported worsening sleep quality during the early stages of lockdowns compared to pre-pandemic levels [30], while no changes in sleep quality were reported among participants in Italy [31] and Argentina [32]. Interestingly, a longitudinal study of adults in the U.S. surveyed before and after quarantine implementation found that while 29% of participants experienced a decrease in sleep quality, 47% actually reported improved sleep quality during the early quarantine period of the pandemic [33]. In Ref. [33], this improvement is attributed to increases in reported sleep duration, delayed bedtimes and wake times, and fewer reported sleep disturbances. Previous research has shown that sleep quality is associated with resilience [34, 35, 36, 37, 38, 39], which highlights the importance of addressing sleep quality issues in order to maintain and boost resilience during the pandemic.
Regarding clinical insomnia, the reported prevalence during the COVID-19 period has varied widely across countries worldwide as well as within individual countries themselves. Insomnia symptoms can include sleep-onset and sleep maintenance difficulties, low sleep satisfaction, impaired daily functioning due to sleep problems, and increased concern or distress related to sleep problems [40]. Insomnia prevalence during the pandemic has been reported from a low of 10–13% in India, similar to the pre-pandemic prevalence [30, 41], to a high of 56% in Morocco [42], with other countries reporting results falling between these extremes [43, 44, 45]. Studies in China reported that among those classified as having insomnia during the pandemic period, 13.6% reported developing new-onset insomnia while 12.5% reported worsened symptoms of prior insomnia [20]. Thus, while insomnia and other sleep problems have varied over time and location, in accordance with disease transmission rates and other social factors specific to the locality, it is clear that sleep has been significantly impacted during the pandemic.
While increases in sleep problems and insomnia have been reported worldwide, these issues have not affected everyone in the same way. There appear to be certain demographic factors associated with higher prevalence of insomnia and other sleep problems during the pandemic, indicating possible areas of focus for sleep-related interventions. For example, age appears to be one important factor for heightened sleep problems, with several studies from France and China indicating that younger people (i.e., 35 years and younger) not only had the highest prevalence of sleep problems during the pandemic, but also reported greater severity of these issues [22, 46, 47], although, a study of Chinese adults found that older age (i.e., 50 years and older) was associated with increased sleep problems [48]. Because age is associated with many other pandemic-related factors (e.g., vulnerability to complications from COVID-19; impact on social interactions; job expectations; etc.), and general susceptibility to sleep problems, further work will be necessary to disentangle these complex associations. Several studies have found that women reported more sleep problems than men during the pandemic, and this trend has been observed worldwide [20, 22, 29, 43, 47, 48, 49]. Studies in China, Greece, Spain, France, and Italy found that women reported significantly worse insomnia and other sleep problems, both in terms of frequency and severity, compared to men during the pandemic [20, 22, 43, 46, 48, 49, 50]. However, these findings need to be interpreted within the context of higher prevalence of sleep problems among women in general, as well as higher rates of anxiety and depression in women, which could exacerbate sleep-related responses to pandemic stress. Other factors associated with sleep problems during the pandemic include unemployment and/or being laid off due to the pandemic, classification as an on-site “essential worker” unable to work from home, working rotating shifts or being a shift worker, and living in urban areas [23, 29, 33, 42, 43, 49]. All of these occupational factors add stresses to an already adverse situation, so such findings are not unexpected.
The effects of the COVID-19 pandemic are far-reaching and have resulted in significant behavior changes to prevent the spread of the virus (e.g., sheltering-in place; working from home; reduced movement; reduced exposure to sunlight and social interactions; etc.). Some of these behavioral changes can negatively impact the body’s sleep regulation due to changes in the homeostatic sleep drive, circadian rhythms, and the arousal system [51]. These adjustments have had a profound effect on almost every aspect of daily life including employment, working conditions, school and education. Restrictions on regular social activities like exercise, team sports, and religious services have also disrupted daily routines for many individuals. The timing of daily activities, including daily wake time, daily light exposure, and mealtimes, helps regulate the body’s circadian rhythm [51, 52, 53]. Changes in the timing of these daily activities will lead to dysregulations in the circadian rhythm resulting in changes in sleep patterns [51, 52, 53]. Changes in routines and daily activities has led to a shift in the amount and timing of daily light people are exposed to, and as mentioned above, daily light exposure is a critical component of regulating the circadian system. For some individuals, the lockdown period has allowed them to spend more time outdoors, however for others the pandemic has resulted in disruptions that have reduced daily natural light exposure, which has critically affected regulatory processes related to sleep [51]. Further, some studies have reported increased exposure to electronic screens during the stay-at-home orders, and exposure to this type of light, especially before bed, has been associated with poorer sleep quality during the pandemic [25, 30, 54]. These disruptions have important consequences for daily functioning, since sleep plays a key role in overall mental and physical health.
Disrupted sleep and insomnia are associated with anxiety, depression and suicidal behaviors, and the COVID-19 pandemic has further exacerbated this association [1, 11, 20, 24, 25, 38, 41, 44, 47, 51, 55, 56, 57, 58, 59, 60]. Furthermore, insomnia has been shown to mediate the relationship between pandemic-related anxiety and suicidal ideation, meaning the heightened insomnia symptoms experienced as a result of increased pandemic-related anxiety can lead to a greater likelihood of suicidal ideation [44]. The increased symptoms of anxiety and stress reported during the pandemic, have been attributed to a wide range of factors including novel worries about one’s own health and the health of loved ones, the financial impact of the pandemic, changes in social life and increased loneliness, as well as significant disruptions to work and other aspects of daily routines [43]. These recent increases in general anxiety and stress as well as COVID-19 related stress have been associated with diminished sleep health, including increased sleep difficulties, disrupted circadian rhythms, poorer sleep quality, and insomnia [11, 20, 24, 25, 33, 41, 43, 44, 47, 58, 59, 60, 61, 62, 63].
Sleep problems also appear to be significantly elevated among several groups directly impacted by COVID-19 including: those diagnosed with COVID-19, those who had someone close to them diagnosed with COVID-19, those who were uncertain of their COVID-19 status, or those who knew someone who died from COVID-19-related causes [22, 29, 33, 45, 47, 49, 61].
Finally, COVID-19 related loneliness may play an important role in sleep disruption as well. With the abrupt halt of all in-person social activities and subsequent decrease in social interactions in efforts to curtail the spread of the virus, feelings of loneliness have become a major factor in sleep and mental health during the pandemic. Loneliness, made worse by the lack of accessible social support, has been associated with poor sleep quality and increased insomnia symptoms since the start of the pandemic [24, 43, 45, 61, 63]. Moreover, the link between loneliness and sleep is stronger among those with more COVID-19 related worries and those with lower resilience [63]. Furthermore, there appears to be a bidirectional relationship between loneliness and insomnia during the pandemic [43]. In Ref. [43], the authors suggest that a) loneliness may increase cognitive arousal by inducing feelings of vulnerability; and b) sleeping poorly and/or keeping an abnormal sleep–wake schedule may further disrupt social interactions and increase frustrations associated with social isolation. During the period of pandemic-related lockdowns, these higher levels of loneliness have been linked with elevated levels of depression and suicidal ideation, further emphasizing the need to address social isolation and sleep problems during the pandemic [19].
Healthcare workers in particular have faced tremendous stress during the COVID-19 pandemic due to a range of factors, such as increased workload, long working hours, high work intensity, emotional demands, and increased risk of infection. As a result, the prevalence of sleep problems, especially insomnia, have significantly increased for healthcare workers during the pandemic [64, 65, 66]. As the pandemic continued to unfold during the first year and the number of cases and deaths continued to rise, the impact on sleep among healthcare workers became undeniable [66]. The severity of sleep problems is quite variable among healthcare workers, but these trends seem to be consistent in healthcare populations worldwide. In a study conducted at a large medical center in New York City in April 2020, during a peak of inpatient COVID-19 admissions in the city, sleep disturbances were highly prevalent among healthcare workers, with nearly 75% of those surveyed reporting at least moderate insomnia symptoms and 26% reporting severe or very severe sleep problems [17]. Similarly, among physicians working in Slovenia, those working at COVID-19 entry points were more likely to experience nighttime awakening and frequent nightmares, and to sleep less than 5 hours per night in comparison to other physicians working during the same time period outside of COVID-19 hotspots [67]. Likewise, a study among doctors and nurses working with COVID-19 patients in China found that overall sleep quality was low [59]. It is clear that the pandemic has had a significant global impact on sleep, and this effect has been particularly potent among healthcare workers.
The connection between sleep and emotions has been extensively investigated, particularly in the context of insomnia. Until recently, sleep problems were viewed as a symptom of mental disorders; however, recent evidence suggests that there is a bidirectional relationship between sleep and emotions, specifically, that sleep disturbance actually precede and contribute to the onset of disorders like depression [56, 68]. Indeed, insomnia symptoms can present before the onset of psychiatric illness and can persist past remission and recovery. Evidence suggests that, among non-depressed individuals, those presenting with insomnia appear to be twice as likely to go on to develop depression as those without insomnia [56].
There are multiple theories behind the relationship between sleep and emotional health, though the common denominators in these theories seem to suggest that disrupted Rapid Eye Movement (REM) sleep and daytime symptoms resulting from poor sleep tend to be leading contributors to emotional dysregulation [69, 70, 71, 72]. REM sleep is hypothesized to play a critical role in emotional processing through the coordinated activation of affect-related brain regions, such as the amygdala and hippocampus, during neurochemical brain states that help to strip away the emotional intensity of memories [69, 70, 71, 72]. Through repeated nightly REM sleep sessions, formerly unpleasant or traumatic memories become less potent, helping to maintain emotional health. Individuals with insomnia, however, often report experiences of non-restorative sleep, restless REM sleep (characterized by frequent REM arousals), as well as disruptions to REM sleep, which may hinder emotion recalibration processes that occur during sleep, further contributing to chronic hyperarousal and emotion dysregulation during the day [69, 70, 71, 72]. Thus, REM sleep is necessary for modulating normal emotional responses to daily events. When REM sleep is curtailed, emotional responses can more easily become skewed, and this can alter an individual’s life outlook and impair their ability to respond to challenges in adaptive ways.
Insomnia can also have a significant adverse impact on daytime functioning, which has also been found to be closely related to the development of psychiatric problems [72]. Insufficient sleep is associated with mood disruption and increased symptoms of depression, anxiety, paranoia, and somatic complaints [73, 74]. Daytime symptoms of insomnia include fatigue, daytime sleepiness, irritability, and reduced motivation and energy, in addition to attention and memory impairments [72]. Interestingly, although both nighttime and daytime symptoms of insomnia are significantly associated with depression and anxiety symptoms, there is a stronger relationship between the experience of daytime impairments and symptoms of depression and anxiety [72].
Additionally, there is evidence to demonstrate the bidirectionality of sleep and affective state. Poor sleep quality or lack of sleep (e.g., sleep deprivation) tends to be associated with increased negative and decreased positive affect, and likewise, negatively valanced cognitions that tend to appear before sleep-onset in insomnia patients (e.g., worrying, rumination) can also contribute to difficulties with falling asleep [72]. Daytime symptoms of insomnia are also associated with greater negative emotionality and diminished positive emotionality, which may be a risk factor for mental disorders like depression [72]. Affective states have also been found to impact sleep. For example, negative affect related to loneliness has been associated with insomnia symptoms like poor sleep efficiency and more sleep disturbances [75, 76]. This has clear relevance during the pandemic, as loneliness levels have increased dramatically due to lockdowns and quarantines [77]. Other affective states related to negative emotionality like grief, hostility, and impulsivity are all related to insomnia symptomology, such as shorter sleep duration, poor sleep quality, and daytime impairment. Alternatively, positively valanced affective states like romantic love have been associated with better sleep outcomes, such as better sleep quality and increased daytime functioning [72].
The onset of emotion dysregulation and mood disorders due to sleep problems may be facilitated by the inter-relationships between resilience, emotional functioning, and sleep [36, 38, 70]. Because sleep plays such a critical role in emotional and mental health, increased pandemic-related sleep problems are likely to have contributed to the significant increase in mental health problems observed during the pandemic [70, 78]. Even acute sleep disruptions due to the pandemic have the potential to progress to more chronic insomnia and other sleep and mood disorders [21, 51, 79]. Therefore, to prevent potential long-term sleep and mental health issues and build resilience, it is vital to address pandemic-related sleep disruptions and insomnia through appropriate and timely interventions to improve sleep and in turn, improve psychological outcomes.
Sleep has been identified as a key aspect of psychological health, based on its connection to emotional functioning and the stress response [36, 38, 56, 71, 72]. The role of sleep on mental health outcomes is closely interconnected with resilience, wherein resilience acts as a buffer against the effects of adversity on mental health [5, 6, 7]. Similarly, low levels of resilience have been associated with several factors related to sleep, including high stress-related sleep reactivity, emotional dysregulation, and hyperarousal [36, 38, 80]. Thus, it is critical to understand that sleep also plays an important role in resilience, especially during crisis situations.
The relationship between sleep and resilience is reciprocal in nature: better sleep can bolster resilience, and greater resilience can also lead to better sleep. This relationship has been documented in a number of studies involving both children and adults [34, 35, 36, 37, 39, 81, 82]. In a longitudinal study of a U.S. military population, poor sleep (e.g., frequent sleep disturbances, trouble falling or staying asleep) was associated with lower resilience outcomes compared to those with healthy sleep [37]. Further, resilience among U.S. military Veterans significantly moderated the relationship between poor sleep and negative psychological outcomes [39]. Veterans who reported poor sleep had worse physical and psychological health and lower resilience compared to good sleepers, yet among the poor sleepers, those who reported greater resilience experienced fewer negative physical and mental outcomes, suggesting that resilience may be a protective factor against negative health outcomes in those with poor sleep [39]. Additionally, shorter sleep length has been associated with increased vulnerability to stress, which may contribute to the effect of sleep on resiliency during stressful times [72]. However, resilience can buffer the negative impact of stress on sleep, where higher levels of resilience can protect against the sleep disturbances that arise due to increased perceived stress [35].
As described above, insomnia can disrupt sleep processes necessary for emotional processing, leading to increased risk of heightened emotional reactivity during the day [69, 70, 71, 72]. Furthermore, daytime insomnia symptoms are also closely related to increased negative emotionality and decreased positive emotionality [72]. Emotional reactivity is also closely related to stress, and resilience can help protect against the effects of stress on emotional responses [83, 84]. Resilience has also been found to predict negative emotional responses to stressful life events, specifically, higher resilience can buffer the effects of stressful life events on the development of psychiatric symptoms [84]. Resilience can also facilitate adaptive emotional responses to stress that are often found in psychiatric disorders such as depression and PTSD through genetic and neurological factors [85].
When individuals are low in resilience, they are also more susceptible to emotion dysregulation after exposure to stressors, which also leads to greater vulnerability to psychopathology [36]. Resilience helps bolster emotion regulation abilities through the use of adaptive coping strategies to overcome stress [80]. For example, individuals high in resilience tend to use more effective emotion regulation strategies such as cognitive reappraisal to reframe stressful situations in a positive light and decrease maladaptive emotion responses [80].
Hyperarousal is another critical factor that contributes to poor mental health outcomes and is linked to both sleep and resilience. Insomnia often leads to cognitive (e.g., intrusive thoughts, dysfunctional beliefs) and physiological (e.g., central nervous system, brain regions) hyperarousal [71, 72]. Hyperarousal can have severe consequences for emotion regulation abilities, due to the fact that sustained levels of hyperarousal can deplete cognitive and physiological resources needed to effectively regulate emotions [71]. Emotion processing deficits, especially in the context of stressful situations, can in turn make insomnia symptoms worse [36, 86]. In [36], the authors investigated the relationship between resilience, emotion dysregulation, and pre-sleep hyperarousal and found that resilience predicted hyperarousal, where lower resilience resulted in increased pre-sleep cognitive hyperarousal. Furthermore, increased emotion dysregulation, predicted by low resilience, mediated the relationship between resilience and hyperarousal [36]. This relationship was worse in individuals with insomnia compared to good sleepers [36].
Recent research into the neurobiological mechanisms behind resilience has revealed how the neuronal systems behind sleep are closely related to those responsible for resilience [87]. Resilience and sleep are linked to similar brain regions, structures, and neural circuits that are key for autonomic activation (e.g., hypothalamus-pituitary–adrenal axis, noradrenergic system, serotonergic system, dopaminergic system) and emotional processes (e.g., hippocampus, amygdala) [81, 87]. Further, sleep loss can inhibit brain functioning in areas related to resilience, particularly those associated with autonomic activation and emotional functioning [81]. However, brain plasticity also plays a critical role in both resilience and sleep [87]. Research suggests that neural plasticity is vital for the development of resilience as a result of its connection to the central nervous system (CNS) [88]. Increased plasticity may be a sign of greater resilience, given the role of neural plasticity in stress recovery [88]. Additionally, brain plasticity plays a key role in our ability to adapt to challenges and respond to stress, due to its role in learning adaptive behaviors and emotion regulation skills in response to stress [87]. However, poor sleep quality, sleep loss, and sleep disturbances during both REM and non-REM sleep can negatively affect neural plasticity, which in turn has consequences for recovery from stress exposure [81, 87]. Research regarding the synaptic homeostasis hypothesis posits that deep sleep can enhance neural plasticity, which in turn may improve resilience; alternatively, dysregulation of synaptic homeostasis is characteristic of psychiatric disorders that involve sleep disturbances, like depression [89, 90]. Plasticity, which is critical for maintaining and enhancing resilience, is also particularly susceptible to sleep health, further emphasizing the importance of sleep for preserving resilience during prolonged periods of stress.
Resilience reflects our ability to adapt to and overcome adversity, and this ability appears to be facilitated by the emotional, physiological, and neurobiological processes of sleep. Without sufficient restorative sleep, individuals appear to lack the ability to process and regulate emotions effectively and are therefore more susceptible to the vicissitudes of life and are more vulnerable to being overcome by adversity. Likewise, when resilience is low, it becomes difficult to obtain sufficient restorative sleep. Thus, these factors operate synergistically to sustain mental health.
The COVID-19 pandemic has emphasized the importance of the sleep-resilience relationship, particularly for mental health-related issues. The relationship between sleep health and resilience has proven crucial for professions that were exposed to greater amounts of stress during the pandemic, such as healthcare workers. For instance, physicians who reported better sleep during the early stages of the pandemic were able to remain more resilient at work, experienced fewer self-regulatory failures and lower negative affect [67], and greater life satisfaction [91]. Clearly, obtaining sufficient restorative sleep is a vital component to maintaining the ability of healthcare workers, and others, to effectively navigate the intense emotional aspect of their work and bounce back despite adversity. There is substantial evidence to support the bidirectional relationship between sleep and resilience, and how this relationship can have important implications for mental health outcomes. While previous research on sleep and resilience has focused on populations that are more susceptible to mental health problems due to stress (e.g., military populations, adolescents, healthcare professions), the COVID-19 pandemic has emphasized how important the sleep-resilience relationship is for the general population. It is critical that we address the connection between resilience and sleep health during prolonged periods of stress in order to prevent or curtail a mental health crisis.
Thus far, the discussion has focused on the impact of the COVID-19 pandemic on mental health and sleep outcomes, as well as the critical role of sleep as a core neurobiological process underlying resilience. In this next section, we present strategies and proposed interventions for addressing COVID-19 related mental health outcomes, with a specific focus on the role of sleep and resilience. It is critical that public health officials, medical professionals, community leaders, and other management positions implement empirically based interventions to address the effects of the pandemic on mental and physical health.
Intervention programs aimed toward improving resilience by enhancing sleep specifically can have a long-lasting impact on stress and health even after the pandemic subsides. These interventions can utilize technology to maintain social-distancing requirements yet still provide access to evidence-based self-help tools, education resources, and telehealth consultations to enhance resilience and sleep, and in turn, improve mental health [24, 57]. Online intervention programs are easily accessible and can be used with or without formal psychotherapy or counseling. With more and more people spending time on their phones and computers during the pandemic, online training or intervention programs can be a way to reach many people. Overall, interventions should not just focus on the reduction of negative outcomes; they should also be designed to promote positive adaptation and educate individuals on how to capitalize on the resources they already have [92].
An obvious method to build resilience is to develop programs that specifically train relevant skills. Resilience training has been a topic of interest in recent years and these types of programs may prove especially useful during the pandemic. Existing research has shown that resilience can be learned, a finding that is supported by evidence that it evolves dynamically rather than remaining stable over the lifetime [2, 13]. Resilience training programs can teach individuals how to effectively utilize adaptive coping strategies to combat chronic and acute stressors such as the COVID-19 pandemic. Effective interventions often emphasize the importance of keeping a daily routine, cultivating positive emotions in everyday life, and keeping in touch with social networks to maintain one’s social support system [93].
Social support plays a key role in boosting and maintaining resilience through adversity. Social support is crucial for maintaining resiliency and psychological functioning during prolonged periods of stress, and there is evidence to show how the accessibility and availability of social support has played an important role in mental and physical health outcomes during the pandemic. With pandemic-induced loneliness and social isolation having direct, negative effects on mental health and sleep outcomes, it is critical to develop creative and innovative ways to increase the availability of social support for all populations. While social support from friends and family is particularly protective [94], social support can also come in the form of investing in social capital. Social support, which refers to the size and source of social networks, and social capital, which refers to social trust and feelings of belonging in social groups, are associated with mental health and sleep outcomes [94, 95]. As social support and social capital increase, mental health and sleep outcomes also tend to improve [94, 95], although causality is difficult to demonstrate in many of these studies due to their cross-sectional design. With this in mind, finding ways to increase social support and social capital would seem to be relevant to psychological crisis prevention programs [57].
Sleep hygiene, which involves making behavioral and environmental adjustments that support good sleep, has been shown to be effective at improving sleep health during the pandemic [47, 53, 78, 96, 97]. Furthermore, cognitive behavioral therapy (CBT) techniques can be beneficial for improving both mental health and sleep health. CBT focuses on breaking maladaptive thinking patterns that can lead to mental health problems such as depression [98]. CBT combines behavioral techniques (e.g., stimulus control, relaxation) with cognitive (e.g., learning to manage worries, intrusive thoughts) and educational (e.g., coping skills) components to address depression, anxiety, and other related disorders [98]. CBT can help with both chronic and acute insomnia, and CBT for insomnia (CBT-I) has become a leading treatment for insomnia and poor sleep health [78, 98].
CBT-I includes several key features. Sleep hygiene and sleep beliefs are critical for improving sleep behaviors and overall health and CBT-I interventions typically include an element of sleep education to address maladaptive sleep behaviors and sleep beliefs as well as information regarding the importance of reducing screen time before bed, avoiding bright light at night, and being mindful of time spent in bed [78]. Additionally, sleep hygiene should address minimizing habits that can negatively affect sleep (e.g. drinking caffeine in the late-afternoon/evening, alcohol intake, exercising near bedtime) and promote habits that keep one’s circadian rhythm in balance (e.g. increasing physical exercise and daytime hours spent outside) [47, 78]. The development of digital CBT has made CBT more accessible and is especially relevant for use during the pandemic [98, 99].
Lockdowns and social distancing guidelines due to the pandemic have had a negative impact on levels of physical activity and daylight exposure [47, 100]. Reduced daylight exposure and physical activity during the pandemic have been associated with poor sleep quality and lower resilience, which in turn have adversely affected depression and anxiety symptoms [47, 62, 94, 100]. Timing of light is critical to maintain a normal daily rhythm, and it is important to incorporate daily light exposure into daily routines and aim to spend time outside exposed to bright sunlight, especially in the mornings, while also limiting light from screens in the evening [53]. Similarly, incorporating physical activity into a daily routine can act as a buffer against some of the negative effects of the pandemic and lockdowns on sleep quality and mental health [53]. Light exposure and physical activity have the effect of resetting the daily rhythm and are associated with better sleep quality and greater resilience [94, 100].
During its first year, the COVID-19 pandemic had a powerful impact on nearly every aspect of daily life, leading to significant increases in mental health problems across the globe. Nonetheless, many individuals have weathered the pandemic without undue harm or have rebounded from major life setbacks to be stronger than before. These individuals show psychological resilience, which reflects the ability of the individual to rapidly recover from such setbacks and even grow stronger in the process. Many factors contribute to individual resiliency, including the availability of social, emotional, behavioral, material, and physiological resources. Considerable evidence suggests that one of the key physiological resources that contributes to resilience is sufficient restorative sleep. Without adequate sleep, the brain rapidly declines in its capacity to process emotions and cope effectively with change. Cognitive flexibility becomes limited during periods of insufficient sleep, and it becomes difficult to identify effective solutions to life’s challenges. Unfortunately, the anxiety and stresses of the pandemic adversely impacted the sleep of a large proportion of the population, reducing the ability of many people to cope with setbacks and regulate emotional responses.
In short, psychological resilience during the pandemic was severely hampered by the chronic sleep disruptions of the past year, and this appears to have contributed to elevated rates of mental health concerns. However, sleep is a physiological process that is highly modifiable through small changes in behavior and other effective cognitive and lifestyle interventions. While sleep is not the totality of resilience, we contend that it is difficult, if not nearly impossible, to remain optimally resilient when sleep is deficient. Accordingly, we suggest that increasing the regularity, duration, and quality of sleep will help restore and sustain the physiological foundation for resilience, and we provide several practical suggestions for improving sleep. Psychological resilience will be key to the success of the recovery effort as the pandemic subsides, and such resilience is built firmly on the physiological foundation provided by sufficient restorative sleep each night.
The authors have nothing to declare.
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. 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He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. 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His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. 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enjoyed my experience in Radiotherapy and Nuclear Medicine, particularly it has been in different institutions and hospitals with different Medical Cultures and allocated resources. Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. He is the author or co-author of more than seventy papers in peer-reviewed journals and conferences as well as the co-author of several books. He serves as a reviewer for many scientific journals, international conferences, and research foundations. Since 2010, Dr. Placzek has been a reviewer of grants and projects (including EU projects) in the field of information technologies.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"35000",title:"Prof.",name:"Ulrich H.P",middleName:"H.P.",surname:"Fischer",slug:"ulrich-h.p-fischer",fullName:"Ulrich H.P Fischer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35000/images/3052_n.jpg",biography:"Academic and Professional Background\nUlrich H. P. has Diploma and PhD degrees in Physics from the Free University Berlin, Germany. He has been working on research positions in the Heinrich-Hertz-Institute in Germany. Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University. His research interests include computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, intelligent systems, information technology, and information systems. Prof. Sarfraz has been a keynote/invited speaker on various platforms around the globe. He has advised various students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He is a member of various professional societies and a chair and member of the International Advisory Committees and Organizing Committees of various international conferences. Prof. Sarfraz is also an editor-in-chief and editor of various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/267434/images/system/267434.jpg",biography:"Dr. Rohit Raja received Ph.D. in Computer Science and Engineering from Dr. CVRAMAN University in 2016. His main research interest includes Face recognition and Identification, Digital Image Processing, Signal Processing, and Networking. Presently he is working as Associate Professor in IT Department, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur (CG), India. He has authored several Journal and Conference Papers. He has good Academics & Research experience in various areas of CSE and IT. He has filed and successfully published 27 Patents. He has received many time invitations to be a Guest at IEEE Conferences. He has published 100 research papers in various International/National Journals (including IEEE, Springer, etc.) and Proceedings of the reputed International/ National Conferences (including Springer and IEEE). He has been nominated to the board of editors/reviewers of many peer-reviewed and refereed Journals (including IEEE, Springer).",institutionString:"Guru Ghasidas Vishwavidyalaya",institution:{name:"Guru Ghasidas Vishwavidyalaya",country:{name:"India"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:null,institution:{name:"Beijing University of Technology",country:{name:"China"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"265335",title:"Mr.",name:"Stefan",middleName:"Radnev",surname:"Stefanov",slug:"stefan-stefanov",fullName:"Stefan Stefanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/265335/images/7562_n.jpg",biography:null,institutionString:null,institution:{name:"Medical University Plovdiv",country:{name:"Bulgaria"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Igor Victorovich Lakhno was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPh.D. – 1999, Kharkiv National Medical Univesity.\nDSC – 2019, PL Shupik National Academy of Postgraduate Education \nProfessor – 2021, Department of Obstetrics and Gynecology of VN Karazin Kharkiv National University\nHead of Department – 2021, Department of Perinatology, Obstetrics and gynecology of Kharkiv Medical Academy of Postgraduate Education\nIgor Lakhno has been graduated from international training courses on reproductive medicine and family planning held at Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor in the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics, and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s been a professor in the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics, and gynecology department. He’s affiliated with Kharkiv Medical Academy of Postgraduate Education as a Head of Department from November 2021. Igor Lakhno has participated in several international projects on fetal non-invasive electrocardiography (with Dr. J. A. Behar (Technion), Prof. D. Hoyer (Jena University), and José Alejandro Díaz Méndez (National Institute of Astrophysics, Optics, and Electronics, Mexico). He’s an author of about 200 printed works and there are 31 of them in Scopus or Web of Science databases. Igor Lakhno is a member of the Editorial Board of Reproductive Health of Woman, Emergency Medicine, and Technology Transfer Innovative Solutions in Medicine (Estonia). He is a medical Editor of “Z turbotoyu pro zhinku”. Igor Lakhno is a reviewer of the Journal of Obstetrics and Gynaecology (Taylor and Francis), British Journal of Obstetrics and Gynecology (Wiley), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for a DSc degree “Pre-eclampsia: prediction, prevention, and treatment”. Three years ago Igor Lakhno has participated in a training course on innovative technologies in medical education at Lublin Medical University (Poland). Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: are obstetrics, women’s health, fetal medicine, and cardiovascular medicine. \nIgor Lakhno is a consultant at Kharkiv municipal perinatal center. He’s graduated from training courses on endoscopy in gynecology. He has 28 years of practical experience in the field.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. RELACION DE PONENCIAS DE LA SOCIEDAD ESPAÑOLA DE OFTALMOLOGIA. 10/2014.",institutionString:null,institution:null},{id:"243698",title:"Dr.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:null,institution:null},{id:"7227",title:"Dr.",name:"Hiroaki",middleName:null,surname:"Matsui",slug:"hiroaki-matsui",fullName:"Hiroaki Matsui",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Tokyo",country:{name:"Japan"}}},{id:"312999",title:"Dr.",name:"Bernard O.",middleName:null,surname:"Asimeng",slug:"bernard-o.-asimeng",fullName:"Bernard O. 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