Differences between generics and biosimilars.
\\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:"7723",leadTitle:null,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",reviewType:"peer-reviewed",abstract:"Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.",isbn:"978-1-78984-018-6",printIsbn:"978-1-78984-017-9",pdfIsbn:"978-1-78984-605-8",doi:"10.5772/intechopen.77536",price:119,priceEur:129,priceUsd:155,slug:"artificial-intelligence-applications-in-medicine-and-biology",numberOfPages:140,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"a3852659e727f95c98c740ed98146011",bookSignature:"Marco Antonio Aceves-Fernandez",publishedDate:"July 31st 2019",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",numberOfDownloads:9664,numberOfWosCitations:8,numberOfCrossrefCitations:15,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:26,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:49,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 10th 2018",dateEndSecondStepPublish:"October 22nd 2018",dateEndThirdStepPublish:"December 21st 2018",dateEndFourthStepPublish:"March 11th 2019",dateEndFifthStepPublish:"May 10th 2019",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"3",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"685",title:"Bioinformatics",slug:"engineering-biomedical-engineering-bioinformatics"}],chapters:[{id:"65650",title:"Designing Data-Driven Learning Algorithms: A Necessity to Ensure Effective Post-Genomic Medicine and Biomedical Research",doi:"10.5772/intechopen.84148",slug:"designing-data-driven-learning-algorithms-a-necessity-to-ensure-effective-post-genomic-medicine-and-",totalDownloads:994,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Advances in sequencing technology have significantly contributed to shaping the area of genetics and enabled the identification of genetic variants associated with complex traits through genome-wide association studies. This has provided insights into genetic medicine, in which case, genetic factors influence variability in disease and treatment outcomes. On the other side, the missing or hidden heritability has suggested that the host quality of life and other environmental factors may also influence differences in disease risk and drug/treatment responses in genomic medicine, and orient biomedical research, even though this may be highly constrained by genetic capabilities. It is expected that combining these different factors can yield a paradigm-shift of personalized medicine and lead to a more effective medical treatment. With existing “big data” initiatives and high-performance computing infrastructures, there is a need for data-driven learning algorithms and models that enable the selection and prioritization of relevant genetic variants (post-genomic medicine) and trigger effective translation into clinical practice. In this chapter, we survey and discuss existing machine learning algorithms and post-genomic analysis models supporting the process of identifying valuable markers.",signatures:"Gaston K. Mazandu, Irene Kyomugisha, Ephifania Geza, Milaine Seuneu, Bubacarr Bah and Emile R. Chimusa",downloadPdfUrl:"/chapter/pdf-download/65650",previewPdfUrl:"/chapter/pdf-preview/65650",authors:[null],corrections:null},{id:"65853",title:"A Review of EMG Techniques for Detection of Gait Disorders",doi:"10.5772/intechopen.84403",slug:"a-review-of-emg-techniques-for-detection-of-gait-disorders",totalDownloads:1808,totalCrossrefCites:2,totalDimensionsCites:9,hasAltmetrics:0,abstract:"Electromyography (EMG) is a commonly used technique to record myoelectric signals, i.e., motor neuron signals that originate from the central nervous system (CNS) and synergistically activate groups of muscles resulting in movement. EMG patterns underlying movement, recorded using surface or needle electrodes, can be used to detect movement and gait abnormalities. In this review article, we examine EMG signal processing techniques that have been applied for diagnosing gait disorders. These techniques span from traditional statistical tests to complex machine learning algorithms. We particularly emphasize those techniques are promising for clinical applications. This study is pertinent to both medical and engineering research communities and is potentially helpful in advancing diagnostics and designing rehabilitation devices.",signatures:"Rajat Emanuel Singh, Kamran Iqbal, Gannon White and Jennifer K. Holtz",downloadPdfUrl:"/chapter/pdf-download/65853",previewPdfUrl:"/chapter/pdf-preview/65853",authors:[null],corrections:null},{id:"66246",title:"Radiation Oncology in the Era of Big Data and Machine Learning for Precision Medicine",doi:"10.5772/intechopen.84629",slug:"radiation-oncology-in-the-era-of-big-data-and-machine-learning-for-precision-medicine",totalDownloads:2206,totalCrossrefCites:2,totalDimensionsCites:3,hasAltmetrics:1,abstract:"Machine learning (ML) applications in medicine represent an emerging field of research with the potential to revolutionize the field of radiation oncology, in particular. With the era of big data, the utilization of machine learning algorithms in radiation oncology research is growing fast with applications including patient diagnosis and staging of cancer, treatment simulation, treatment planning, treatment delivery, quality assurance, and treatment response and outcome predictions. In this chapter, we provide the interested reader with an overview of the ongoing advances and cutting-edge applications of state-of-the-art ML techniques in radiation oncology process from the radiotherapy workflow perspective, starting from patient’s diagnosis to follow-up. We present with discussion the areas where ML has presently been used and also areas where ML could be applied to improve the efficiency (i.e., optimizing and automating the clinical processes) and quality (i.e., potentials for decision-making support toward a practical application of precision medicine in radiation therapy) of patient care.",signatures:"Alexander F.I. Osman",downloadPdfUrl:"/chapter/pdf-download/66246",previewPdfUrl:"/chapter/pdf-preview/66246",authors:[null],corrections:null},{id:"63949",title:"A Survey on 3D Ultrasound Reconstruction Techniques",doi:"10.5772/intechopen.81628",slug:"a-survey-on-3d-ultrasound-reconstruction-techniques",totalDownloads:2096,totalCrossrefCites:9,totalDimensionsCites:11,hasAltmetrics:1,abstract:"This book chapter aims to discuss the 3D ultrasound reconstruction and visualization. First, the various types of 3D ultrasound system are reviewed, such as mechanical, 2D array, position tracking-based freehand, and untracked-based freehand. Second, the 3D ultrasound reconstruction technique or pipeline used by the current existing system, which includes the data acquisition, data preprocessing, reconstruction method and 3D visualization, is discussed. The reconstruction method and 3D visualization will be emphasized. The reconstruction method includes the pixel-based method, volume-based method, and function-based method, accompanied with their benefits and drawbacks. In the 3D visualization, methods such as multiplanar reformatting, volume rendering, and surface rendering are presented. Lastly, its application in the medical field is reviewed as well.",signatures:"Farhan Mohamed and Chan Vei Siang",downloadPdfUrl:"/chapter/pdf-download/63949",previewPdfUrl:"/chapter/pdf-preview/63949",authors:[null],corrections:null},{id:"65463",title:"Quantum Neural Machine Learning: Theory and Experiments",doi:"10.5772/intechopen.84149",slug:"quantum-neural-machine-learning-theory-and-experiments",totalDownloads:1596,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:1,abstract:"Cloud-based access to quantum computers opens up the way for the empirical implementation of quantum artificial neural networks and for the future integration of quantum computation in different devices, using the cloud to access a quantum computer. The current work experimentally implements quantum artificial neural networks on IBM’s quantum computers, accessed via cloud. Examples are provided for the XOR Boolean function representation problem and decision under risk; in the last case, quantum object-oriented programming using IBM’s Qiskit Python library is employed to implement a form of quantum neural reinforcement learning applied to a classical decision under risk problem, showing how decision can be integrated into a quantum artificial intelligence system, where an artificial agent learns how to select an optimal action when facing a classical gamble. 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\r\n\tNowadays, all types of businesses ranging from the smallest e-com stores to the biggest corporations, use data to run operations. There are billions of bytes of data getting generated every minute. However, raw data doesn’t come in that handy on its own. There are many data management tools and applications. SQL or Structured Query Language is one of the programming languages which is used to communicate with the databases for the creation, deletion, and retrieval of data from it. The ability to use SQL will help you get more out of your data than just reading it. It can be used for ad-hoc data analysis and reporting and more extensive projects involving multiple tables and complex applications.
\r\n\r\n\t
\r\n\tSQL is worth learning because it’s a programming language that’s in demand in the tech industry and in other sectors that need technology. Most software developers who know SQL earn respectable salaries. Learning SQL can not only enhance your skills, but it can also give you a better understanding of the applications you work with daily. In this book, we will go through the details of SQL and how to use it effectively. The goal of this book is to have many practical application examples that will help learners easily acquire and self-study SQL.
The reigning view of the type I diabetes field had been until recently that the pancreas commonly stops secreting insulin within a number of years of diagnosis. The so-called honeymoon period post disease onset has been explained to patients since the seminal publication in 1986 by George Eisenbarth on the natural history of diabetes [1]. After the honeymoon period, patients were cautioned to expect that their pancreas was functionally inactive as it related to insulin secretion and could no longer be saved. An iconic image depicting the rapid demise of islet function as measured by C-peptide, which is cosecreted with insulin, has been a staple for teaching medical students and in continuing education courses for physicians. And the consequence of the honeymoon period has been that patients with established disease are routinely excluded from immune intervention trials. Most, if not all, immunotherapy trials conducted over the past 20 years have excluded all but new-onset cases of type 1 diabetes under the assumption that the pancreas was not salvageable if the disease was past the honeymoon period and all insulin secretion has ceased. Indeed, the current definition of type 1 diabetes by the American Diabetes Association (ADA) is a disease leading to “absolute insulin deficiency” [2].
Despite this dogma, there were clues questioning the view that the pancreas of type 1 diabetics ceases function within a short number of years after diagnosis. There had been histological indications that the islets were not uniformly dead dating back as early as 1902. The pathologist M.B. Schmidt documented the rare existence of intact islet-like structures in an autopsy of a child with type I diabetes [3]. Decades later, several other studies from 1959 to 1985 also documented histologically the existence of occasional intact islet cells among patients at all stages of disease [3-8]. More recent confirmation of histologically intact islet cells comes from several studies [9-12]. Nevertheless, these studies did not prompt questioning of the short honeymoon period because the evidence was only histologic and not accompanied by functional studies. It was thought by the majority that if the insulin-secreting structures could be found they lacked functional insulin secretion since it could not be detected.
An early indication of long-term persistence of insulin release was present in 2008 with an immune interventional trial that compared long-term diabetic serum samples in the traditional C-peptide assays compared to newer more sensitive C-peptide assays. C-peptide assays are the best measures of endogenous insulin secretion. C-peptide is cosecreted with insulin in equimolar amounts by the pancreatic beta-islet cells upon enzymatic cleavage of the prohormone precursor proinsulin. C-peptide is more advantageous to measure than insulin because it is unaffected by exogenous insulin treatment, and because the liver metabolizes much of the insulin secreted into the portal vein, but negligibly metabolizes C-peptide. Insulin’s high metabolism by the liver means that peripheral insulin levels may not best reflect portal insulin secretion. C-peptide is also advantageous because its half-life is longer than that of insulin, circulating systemically at concentrations about five times higher. Low C-peptide can be used to distinguish type 1 from type 2 diabetes, the latter marked by high levels of C-peptide early in disease [13].
The immune interventional trial of Bovine Calmette Guerin (BCG) in diabetic patients with established disease (a mean of 15 years) [14] studied fasting and stimulated C-peptides over a 2-year period. A condition of enrollment in the trial was that there was no fasting or stimulated C-peptide as measured by traditional C-peptide assay whose lower limit of detection is about 50 pmol/l. To the surprise of all, at the end of the trial all serum was restudied for C-peptide, this time using ultrasensitive C-peptide assay. All long-term recipients of the immunotherapy, as well as placebo patients, had low yet detectable levels of C-peptide at baseline both as fasting and stimulated and throughout the course of the trial.
This unexpected finding motivated a systematic study of C-peptide levels in 182 diabetic patients using the ultrasensitive assay. Glycemic levels were also evaluated in a subset of patients—with normoglycemia at <150 mg/dl and hyperglycemia at >150 mg/dl. Samples from hyperglycemic patients had significantly higher C-peptide levels than those with normoglycemia [15]. The study found a linear relationship between glycemic levels and C-peptide, indicating intact islet-cell functioning because higher glycemic levels stimulate release of insulin. Islet-cell function was intact at C-peptide levels as meager as 2.8 pmol/l. These analyses revealed that despite low levels of C-peptide, some islet-cell function remains decades after diagnosis. The release of C-peptide was analyzed according to 5-year disease duration intervals. C-peptide was found above limits of detection in patients with up to 40 years of disease duration (Figure 1). As duration increased, C-peptide levels tended to gradually decline over decades. In order of increasing duration, C-peptide was higher than the detection limit at rates of 78.9% (0-5 years duration), 59.5% (6-10 years duration), 39.5% (11-20 years duration), 39.1% (21-30 years duration), 10% (31-40 years duration), and 0% (>40 years duration). Thus, longer disease duration is related to lower levels of C-peptide production. The long-term persistence of C-peptide release contradicts the traditional model that C-peptide disappears 1-2 years or a short time after diagnosis and contradicts the ADA definition of type 1 diabetes as an absolute deficiency of insulin. Also, it was reported that type 1 diabetics with early age of onset had a faster decay of C-peptide; type 1 diabetics with later onset of diabetes had slower declines in C-peptide. This suggested that there was age-of-onset variability in the diabetic population as related to total loss of pancreas function.
The traditional model of type 1 diabetes predicts the pancreas will stop producing C-peptide within a short time after disease onset, typically 1-3 years. New data now show that a typical course of type 1 diabetes is the long-term persistence of C-peptide for decades in many type 1 diabetic subjects.
A study by Oram and colleagues [16] soon followed and confirmed the long-term persistence of C-peptide secretion as measured by stimulated urine studies. Studying 74 volunteers, they found that 73% of patients with type I diabetes of more than 5 years duration (median 29 years) had detectable C-peptide as measured by electrochemiluminescence assay (detection limit 3.3 pmol/l). To study function, the investigators conducted a mixed-meal tolerance test. C-peptide levels either rose (n=43) or remained the same (n=11) in response to a meal in all patients with detectable serum C-peptide in urine. The study concluded that most diabetics with long-term disease continue to produce low levels of insulin and that a small number of islet cells are still functional, suggesting that these cells are escaping immune attack or are regenerating. This study was also of note since the measurement of remaining C-peptide was performed using a different C-peptide assay from Wang and colleagues, thus decreasing the chance that these early reports of persistent C-peptide secretion were an artifact of the improved C-peptide monitoring techniques and assays.
Three other investigative teams, reporting in abstract form, uncovered evidence of the long-term persistence of C-peptide production in early 2014. Two of the studies also found increased output of C-peptide after a mixed-meal tolerance test [17, 18]. The third study was large: it recruited 944 patients in a population-based study design, finding insulin secretion in long-duration type 1 diabetics, but the study did not examine islet-cell function [19].
More recently, in late 2014, the rapidly expanding literature confirmed the frequent and long-term persistence of C-peptide for decades after the onset of type 1 diabetes. McGee and colleagues evaluated whether clinically relevant concentrations of stimulated C-peptide can be detected after 30 years in the Diabetes Control and Complications Trial (DCCT) cohorts. Studying 58 participants, 17% of the enrolled subjects had a definitive response with stimulated C-peptide greater than 30 pmol/L [20]. Using nonfasting random C-peptides, Davis and colleagues detected 29% of 919 individuals with remaining C-peptide with a lower limit of sensitivity of 20 pmol/L in a C-peptide assay [21].
What protects or places at risk type 1 diabetic subjects for improved preservation of C-peptide? In 1978, Madsbad and colleagues reported on the prevalence of residual beta cell function in insulin-dependent diabetics in relation to age of onset and duration (21). In 1987, two research groups found similar associations of early age of onset associated with faster decay of C-peptide immediately after diabetes onset [22, 23]. Wang and colleagues, using C-peptide assays with lower limits of detection to 2.5 pmol/L combined with a decades-long evaluation of the full disease course, confirmed that age of onset was related to long-term preservation for up to 40 years after diagnosis [15]. Ludvigsson and colleagues studied the decline of C-peptide during the first year after diagnosis of type 1 children and adolescents and reported a faster decline of C-peptide in younger subjects [24]. Barker and colleagues, in a large 3,668 subject study for 5 years after diagnosis, more recently demonstrated age at diagnosis of type 1 diabetes was a strong correlate of a more rapid decline of C-peptide function, with young children again losing pancreas insulin secretion at more rapid rates [25]. Therefore, a very clear protective factor for a slow C-peptide decay is older age of onset, and a very clear risk factor for rapid decline in C-peptide is younger age of onset. The only exception to this reproducible trend is with age of onset of diabetes greater than 40 years of age: C-peptide again starts to decay faster and these subjects are also notable for the majority having long-standing hypothyroidism prior to diabetes onset [15].
Should it have been known earlier that the ADA definition of “absolute insulin deficiency” of type 1 diabetes was wrong, especially as it relates to residual C-peptide over decades, not just variable fall in C-peptide close to onset? It was known from the Joslin 50-year Medalist Study that some fortunate type 1 diabetics that lived for at least 50 years with this disease were also blessed with random C-peptide levels greater than 30 pmol/L [12]. Still it was viewed that these very fortunate type 1 diabetics were the exception. These data reinforced early the concept that residual C-peptide was associated with better HbA1c and longevity. Again, using less sensitive assays with cutoff values of 40-50 pmol/L it was known from the DCCT that only 11% of patients screened by stimulated C-peptide measurements had any C-peptide at 2 years after diagnosis [26]. As mentioned earlier, for nearly 100 years histologic studies had uncovered islet-like structures consistent with the insulin-secreting cells of the pancreas, but without accompanying functional data of insulin secretion it was difficult to interpret the findings.
Low levels of C-peptide may be produced but do they have any clinical significance? The answer to the question is a resounding yes, according to recently study that was published [27]. First, the 8-year study replicated—in a much larger sample (n = 1273) than an earlier study—the findings that the pancreas continued to produce C-peptide for decades after diagnosis was confirmed. The study also found that fasting C-peptide output, above as low as 10 pmol/L, is associated with fewer diabetes-related complications (e.g., nephropathy, neuropathy, and cardiovascular disease). Low levels of C-peptide were also associated with poorer metabolic control, as captured by HbA1c. The study found that the lowest levels of C-peptide were associated with severe hypoglycemia. Finally, all levels of measurable C-peptide were responsive to fluctuations in blood glucose levels as assessed by 1,5-Anhydroglucitol, a marker responsive to glucose fluctuations. This study complements the work of Lachin and colleagues that restudied the DCCT subjects, albeit with older C-peptide assays with less sensitivity and lower limits of sensitivity to 40-50 pmol/L [28]. Regardless, both fasting and stimulated C-peptide remaining levels were associated in a linear manner to prevention of complications. This resulted in a conclusion that preservations of stimulated C-peptide greater than 200 pmol/L has clinical benefit. The Kuhtreiber study suggests that preservation of fasting C-peptide to the new lower limits of detection of 2.5 pmol/L is even clinically significant.
The studies finding the long-term persistence of C-peptide help to interpret two puzzling scientific observations published more than 15 years ago. The first observation was in identical twins who were discordant for type I diabetes for greater than 20 years who received a hemi-pancreas transplant from the identical twin [29]. Within several weeks, the half-pancreas transplant from the healthy twin to the diabetic twin failed. This was unexpected, because transplants normally are rejected after years, not weeks. The fact that the diabetic twin mounted an aggressive autoimmune response decades after disease onset and after the pancreas was thought to be dead indicates functional islet cells still capable of provoking an autoimmune response. The second observation related to B-lymphocytes: 67% of patients with disease duration of 10 years were positive for at least one diabetes-associated autoantibody and 42% of patients tested positive for 2 to 3 autoantibodies [30]. This finding can now be explained by a primed immune cell attack against residual islet-cell regeneration or long-term survival.
The weight of the evidence from several recent studies now points to viable and functional islet cells in long-term type 1 diabetes and should refute therapeutic nihilism that, after a short time after diagnosis, most type 1 diabetics have a pancreas that can no longer produce any insulin. Instead, low-level insulin release can commonly persist for decades after disease onset and has functional and clinical significance. Insulin release is best measured by C-peptide, which is cosecreted with insulin by the beta cells in the islets. C-peptide is preferable to studying remaining insulin secretion because it is unaffected by exogenous insulin treatment and now more sensitive assays allow better limits of detection. Maintenance of even low levels of C-peptide is associated with fewer diabetic complications, better metabolic control (as captured by HbA1c), and is associated with less severe hypoglycemia. The functional and clinical significance of even low levels of C-peptide release suggests that patients should be monitored routinely for C-peptide output combined with other clinical monitors of residual insulin production. The evidence of viable and functional islet cells decades after diagnosis of type 1 diabetes and their protection against diabetic complications also suggest that patients with long-standing disease should not be excluded from immunotherapy clinical trials.
Biological drugs have overturned the classic concept of medicine and pharmacology. They are now one of the cornerstones of modern medicine and the so-called “targeted therapy” or “personalized therapy,” which acts specifically on a given target. Biological drugs are henceforth referred to as “biologics” in this work. Biologics include various products, such as hormones and enzymes, blood products, and immunological drugs (serums, vaccines, immunoglobulins, allergens, and monoclonal antibodies) [1].
These therapies have drastically improved the prognosis of several severe and life-threatening diseases, such as cancer, diabetes, and autoimmune diseases (e.g., rheumatoid arthritis, Crohn’s disease, multiple sclerosis, and severe psoriasis) [2, 3].
Biologics are very different from “conventional drugs” in origin, structural complexity and variability, manufacturing process, side effects (immunogenicity), and regulatory aspects. This makes the pharmacovigilance of biologics particularly complex.
It should also be emphasized that a huge commitment of resources burdens therapies derived from biotechnologies and this, as repeatedly stressed by the various regulatory agencies, poses a significant problem in terms of economic sustainability at the global level. “Biosimilars”, which are similar to original biologics that are no longer subject to patent protection, and can be marketed at lower prices than actual products, fit into this context, further complicating the already tricky pharmacovigilance for biologics.
According to the definition of biologics provided by the European Medicines Agency (EMA), “a biological drug is one that contains one or more active substances derived from a biological source. Biologics are larger and more complex molecules than non-biologic ones. Only living organisms can reproduce this complexity” [4]. Most biologics in current clinical use are proteins. They can differ in size and structural complexity, from simple proteins, such as insulin or growth hormone, to more complex ones, such as coagulation factors or monoclonal antibodies [2, 3, 5].
Biologics, including “biotech” drugs, that is, those produced by biotechnological methods (including recombinant DNA technologies, controlled expression of genes encoding biologically active proteins in prokaryotes or eukaryotes, hybridoma-based methods, and monoclonal antibodies), consist of active substances obtained from living cells or organisms [6]. Biologics production is a complex process involving gene manipulation, fermentation, and purification steps. It requires a very high level of technical expertise, sensitivity, and control to ensure its safety and efficacy. Generally, the first step is modifying a cell or microorganism, considered to be the host, to introduce a genetic sequence coding the protein to be produced. Then the host is conserved, and a master cell bank is produced from a seed lot. They are picked up, cluttered, and grown in a bioreactor or fermenter. Finally, it is collected to purify the protein, which will be then stabilized and formulated for therapeutic use.
Any changes in these processes, such as differences in temperature or pH, or cell culture conditions, could cause a significant modification in the final product in terms of efficacy or safety [7]. Moreover, due to post-translational changes, such as glycosylation, oxidation, and deamination, the final product may differ slightly from batch-to-batch and even within the same batch, they may have an impact on the mechanism of action of the molecule.
Since an ineluctable and unpredictable variability characterizes all living organisms, even if minimal, what is obtained from a biotechnological process will have an “intrinsic degree of minimal variability.” Therefore, unlike generics where an exact copy can be made, in the case of biologic production, it is said that “the process defines the product” [8].
Another aspect that differentiates biologics from “conventional drugs” is their immunogenic potential, that is, their ability to induce an immune response in the body (Table 1). Immunogenicity can lead to the development of antidrug antibodies (ADAs). ADAs may be neutralizing antibodies (NA) that neutralize the activity of these therapeutic proteins, causing reduced efficacy [9].
Generics | Biosimilars | |
---|---|---|
Synthesis | Chemical | Biological |
Structure | Structurally simple small molecules | Structurally complex large molecules |
Risk of immunogenicity | Low | High |
Comparative studies | No needed | Needed |
Interchangeability | Yes | EMA does not specify; for FDA it’s possible but after studies |
Substitutability | Yes | EMA does not specify; for FDA, it is possible but after studies |
Nomenclature | INN | No specific for EMA; specific for FDA |
ADR’S report form | INN and manufacturer | Name and batch number |
Registration dossier | Simple | Complete |
Risk management plan | No needed | Needed |
Additional monitoring | No needed | Needed |
Differences between generics and biosimilars.
In the case of vaccines, the ability to induce an immune response, immunogenicity, is the expected therapeutic effect.
Immunogenicity, being one of the significant concerns in relation to biologics, is assessed throughout their entire development and production process.
The ability of biologics to induce immune responses may depend on several factors: The particular properties of the biologic, the characteristics of the patient, the concomitant treatments, the routes and the features of administration, or, finally, any variations introduced in the manufacturing process [10].
It is known that in the 1990s, the replacement of serum albumin with stabilizing agents (polysorbate 80 and glycine) in epoetin alfa caused several cases of pure erythroid aplasia due to the development of antierythropoietin antibodies [11].
Biologics enjoy two protection mechanisms: Patent (usually lasting up to 20 years) and a period of data and market exclusivity (up to 11–12 years) [12].
Once this period of patent coverage and exclusivity is over, “biosimilars”, nonidentical but similar copies of originator biologics, determined to be of equal quality, safety, and efficacy to the originators, can be produced [13, 14].
“Biosimilarity” is the regulatory term first used by the European Union (EU) and the EMA to denote the comparability between a biosimilar and its originator reference medicine [13].
The first commercially available biosimilar appeared in the EU in 2006, while the first approval of a biosimilar in the United States (US) was in 2015 [15].
Medicinal products produced by biotechnology differ from traditional pharmaceutical chemistry methods in many aspects, including molecular size, structural complexity, stability of the final product, and the possibility of different relevant co- and post-translational modifications (e.g., of the glycosylation profile). Additionally, because of their production process, which involves the essential intervention of living systems (microorganisms or animal cells), biologics present numerous aspects of heterogeneity linked to the host cell used, the plasmids used to transfect the host cell, and, therefore, transfer the gene necessary to induce the expression of the desired protein, as well as the conditions of growth and fermentation and the different methods of purification. All these peculiarities are not immediately transferable from one laboratory to another and contribute to the uniqueness of the product [4]. In particular, changes in the glycosylation pattern, a process that naturally occurs during the formation of a protein, can affect the therapeutic effect of the drug as well as lead to pharmacokinetic and pharmacodynamic modifications, altering the final product [15].
Therefore, structural variability and nonexact identity are two problems already present in original biologics, between different batches of the same product or even between drugs of the same set, and not only linked to their copies, that is, the biosimilars. This is because the very concept of similarity and nonidentity, which underlies biologics and biosimilars, is due to the inherent inability to replicate biological molecules exactly [16].
However, the primary responsibility of regulatory authorities and manufacturers in this context is to avoid clinically significant structural differences, which could adversely affect the efficacy and safety of the proposed biosimilar. This is achieved by assessing and demonstrating a high degree of structural and functional similarity between the originator and the biosimilar through what is known as a “comparability exercise,” via studies that are defined as “of comparability” or “comparative” [13].
Therefore, the registration process of a biosimilar is different from that of a nonbiological drug equivalent (for which only bioequivalence studies, showing pharmacokinetic parameters, are generally required) (Table 1).
The investigation of biosimilars starts with quality studies (biological and physicochemical) and then continues with comparison studies with the originator, initially nonclinical (comparative nonclinical studies), concerning toxicity, pharmacokinetics, and pharmacodynamics, and then clinical (comparative clinical studies), in which efficacy and safety are assessed. In addition, at least one clinical study of immunogenicity is required to compare this aspect between the biosimilar and the original biologic (Figure 1) [4, 17].
Studies required for biosimilars.
It is clear that since clinical efficacy studies have already been conducted for originators, the purpose of studies on biosimilars is not to establish clinical benefit, but to demonstrate clinical equivalence, that is, noninferiority, with the biologic originator, defined in terms of “similarity throughout.”
“Interchangeability” is generally defined as the medical practice of substituting one drug for another equivalent drug with the same clinical effect and the risk–benefit ratio [18]. It thus describes the process, following a clinical decision by the prescribing physician, of transition from the originator to the biosimilar or from the biosimilar to the originator or between two biosimilars [13]. Interchangeability can only be assessed after the biosimilar has received regulatory approval.
“Substitutability,” on the other hand, is defined as the practice, not necessarily of exclusive medical pertinence, of replacing medicine with another, often cheaper, that has the same qualitative and quantitative composition of active substances, the same pharmaceutical form, and route of administration and which is bioequivalent with the reference medicine based on bioavailability studies [13]. “Automatic substitution” (for equivalents) by pharmacists refers to the practice whereby the pharmacist has the faculty or is obliged by national or local regulations, to dispense an equivalent and interchangeable medicine in place of the prescribed medication, without consulting the prescribing physician. “Primary substitution” occurs when a new treatment is started with a biosimilar (or equivalent) rather than the original reference product, and “secondary substitution” occurs when the treatment of a patient, already receiving a biologic, is substituted with a biosimilar [4].
However, it should be specified that in the US, the concept of interchangeability corresponds to the European concept of substitutability or “switching,” since in the US, when the biosimilar is designated for use interchangeably with the original biologic, the pharmacist can dispense and authorize automatic substitution. Specifically, the Food and Drug Administration (FDA) requires that the definition of interchangeability of a biosimilar with the reference product must be established by an internal committee (the Biologics Price Competition and Innovation Act) based on specific documentation. To receive a designation of interchangeability in the US, the manufacturer must demonstrate through ad hoc studies that (1) the biosimilar will produce the same clinical outcome as the reference product in a given patient, and (2) the risk in terms of safety or reduced efficacy of alternating or switching between the use of the originator and the biosimilar is no greater than the risk of using the originator without such “switches” (Figure 2).
Interchangeability studies. FDA requires evidence of a single “switch” for approval of a non-interchangeable biosimilar, but will generally require data on multiple “switches” for the definition of interchangeability.
Thus, for the FDA, once a single biosimilar is defined as interchangeable, the clinician’s decision on the individual case is not required for its substitution [18].
Regarding the automatic substitutability of biosimilars, the EMA does not assume responsibility for interchangeability and refers this decision to the EU Member States; in fact, European legislation has given the competent national authorities of the various Member States decision-making legislative autonomy in this matter (Table 1). However, the EMA has clarified that the recommendations issued on the marketing of medicinal products do not include whether or not a biosimilar should be used interchangeably and that the decision on the prescriptive choice of the specific medicinal product to be used, reference rather than biosimilar, should be entrusted to qualified healthcare professionals [19]. Moreover, the EMA generally recommends continuity of treatment for any patient already on therapy; but also emphasizes that there is no reason not to prescribe biosimilars directly to naive patients, that is patients who have not been treated previously, especially about the cost savings that this entails [4].
In European countries, several national regulatory authorities support substitutability during initial treatment or with the consent of the prescribing physician, but it is not endorsed unequivocally and uniformly [20]. In other countries, interchangeability is treated even differently than in the EU and US [1, 21]. Certifying that the drug is interchangeable is very complex for regulators without sufficient supporting data. The substitutability of generic drugs with reference drugs is used because the two drugs are considered identical if they have been demonstrated bioequivalence, but, as biosimilars are not exact copies, the generic approach cannot be applied in the case of biosimilars, and the question of their interchangeability remains unclear and is still an open debate that essentially involves all regulatory agencies.
Indeed, the main concern about interchangeability is that repeated switches between biosimilars and the reference biologic may increase immunogenicity, leading to adverse reactions, particularly therapeutic ineffectiveness.
Extrapolation is a scientific rationale used to describe how the proposed biosimilar receives all of the approved indications from the originator while performing comparative clinical trials of only one or two signs [22]. This rationale is captured in confirmatory phase III clinical trials, although the results of each experimental phase affect the extrapolation of indications.
There are limitations if particular indications are still protected by patent.
This concept of transferability of safety and efficacy data from one indication to another is not always clear to prescribing clinicians. Still, the extrapolation of therapeutic indications is recognized by both the EMA and the FDA [23, 24], although there must be a valid scientific justification for it to be applicable.
It is up to the Committee for Medicinal Products for Human Use (CHMP) of the EMA in the EU and the FDA in the US to determine on a case-by-case basis whether multiple indications can be extrapolated based on sufficient scientific evidence [23, 24].
For all drugs, and certainly also for biologics, which do not yet have an established history behind them, robust postmarketing surveillance is crucial for identifying and assessing adverse effects and any other issues under discussion, such as the rationalization of interchangeability itself. The current pharmacovigilance paradigm typical of the “small molecule drugs” is highly insufficient and unsuitable to monitor the safety of biologics and biosimilars due to the different manufacturing techniques and the typical complexity of biologics, the possible structural differences existing between biosimilars and their originators, the possibility of biologics to cause long-term or short-term immunological reactions. Biologics are considered a priority for pharmacovigilance activities and, for this reason, the Directive 2010/84/EU included them in the “List of medicines subject to additional monitoring,” characterized by an inverted black triangle in the “summary of product characteristics” (SmPC) and package leaflet accompanied by a sentence encouraging healthcare professionals and patients to report any suspected adverse reaction (Table 1) [25]. The EMA adopted new recommendations for the pharmacovigilance of biosimilars in 2016, and it has a separate section for “biological medicinal products” [26]. On the other hand, the FDA includes the Center for Drug Evaluation and Research (CDER), which is responsible for the pharmacovigilance of biosimilars and has its own guidelines [27, 28]. In the EU, all marketing authorization applications for biologics, including biosimilars, are reviewed by the EMA through a centralized procedure; consequently, the resulting marketing authorization is valid in all EU Member States. For this procedure to be undertaken, it is first necessary that the reference product, to which the application for marketing authorization of a biosimilar product relates, is a medicinal product that has obtained a marketing authorization in the EU based on a complete registration dossier, by Article 8 of Directive 2001/83/EC (Table 1) [13]. Each company must submit a risk management plan (RMP) with the marketing authorization application. The EU-RMP must detail the risk management system, describing the safety profile of the medicine, also taking into account the known safety profile of the corresponding originator, and outline how the manufacturer will continue to monitor the efficacy and safety of its product and the measures that the marketing authorization holders (MAHs) intend to introduce to prevent or minimize any risk during the use of the medicine. Every biosimilar on the market has an ongoing EU-RMP, with a summary published in the European public assessment report (EPAR) (Table 1). Finally, Directive 2010/84/EU stipulates that marketing authorization may be conditional on post-authorization safety (PASS) and efficacy (PAES) studies. PASS studies aim to identify, characterize, and quantify a safety risk, confirm the safety profile of the drug, or even measure the effectiveness of risk management measures taken during the marketing of the drug (this includes, specifically, immunogenicity phenomena that represent a crucial safety issue for any biologics and are mandatorily managed in the EU-RMP). In contrast, PAES studies aim to assess and confirm efficacy in cases where there are uncertainties regarding some aspects of the effectiveness of medicine [4].
The nomenclature is also a particular aspect of pharmacovigilance of biologics. When only the international nonproprietary names (INN) are used to report biologics or biosimilars without a distinguishable identifier, it may be complex to attribute an adverse event to a specific product. Instead, each biosimilar should be easily differentiated from the reference product and other biosimilars to ensure the appropriate use, traceability, and accurate reporting of adverse drug reactions (ADR). Since 2006, the World Health Organization (WHO) has been looking for a name for biosimilars that is universal and more suitable than INN names. In the EU, using an INN is up to the manufacturer, and there is no specific legislation outlining how to name a biologic/biosimilar. As required by European legislation, all authorized medicines must have a trading name, either a brand name or the name of the active substance, followed by a trademark or the company’s name that holds the marketing authorization. Therefore, each biologic, including biosimilars, is identifiable by a unique name formally approved by the EMA as part of the authorization process. In the EU, the reporting of suspected ADRs requires the inclusion of the brand name of the biologic and its batch number, but it has been shown that only 5% of ADRs include both the brand name and the batch number [29]. The lack and omission of traceable information can delay identifying safety problems with a specific product [30, 31]. The FDA, in 2019, has recently adopted a new guideline for the nomenclature of biosimilars, whereby four lowercase letters must be added as a biologic qualifier to the INN in the case of biosimilars [32], for example, Filgrastim-sndz. This action could promote an accurate identification of biologics and facilitate pharmacovigilance, increasing patient and physician confidence in biologics and biosimilars by ensuring proper traceability [31].
Another pharmacovigilance issue specific to biologics is, as already mentioned, immunogenicity (see Paragraph 2.2). Intrinsic differences may cause different immunogenicity even within the same batch. The immune response can be humoral (producing ADA is neutralizing or non-neutralizing) or cellular. Anaphylaxis and hypersensitivity reactions are the two main safety issues due to immunological reactions to these drugs. Still, even cross-reactivity to endogenous proteins or lack of efficacy or alternated drug pharmacokinetics may occur [33].
Such immunogenic ADRs, and even more so those due to immunogenicity linked to the “switch” (between an originator and a biosimilar or vice versa or between a biosimilar and another biosimilar), are difficult to identify they may occur in a minimal number of patients. It is also essential to understand the time interval between the administration of biologics and the occurrence of adverse events because of the possibility of delayed immunogenic reactions, which create further serious difficulties in defining the causal relationship with the specific product. Full characterization of immunogenicity cannot be established during approval studies but requires long-term studies and rigorous postmarketing surveillance.
The pharmacovigilance of biologics undoubtedly presents complexities that are not unique to “conventional drugs.” It is an evolving science that will undoubtedly need to be implemented since knowledge about these drugs continues to expand. The peculiarities of these drugs make the monitoring of biologics and biosimilars a real challenge for regulatory agencies, manufacturers, and patients. Specific aspects of these drugs are immunogenicity, differences between batches from different manufacturers, and the definition of similarity and interchangeability or substitutability, all of which are undoubtedly important for the safety and the pharmacovigilance of these drugs [34]. An emblematic example is the number of cases between 1998 and 2004 of pure erythroid aplasia caused by autoantibodies due to a manufacturing modification that increased the immunogenicity of an erythropoiesis-stimulating agent [11, 35]; however, with three similar products on the market, the real challenge was to identify which specific agent was causing the problem [36]. As is well known, the development of biosimilars not only reduces the cost of healthcare by reducing drug costs by 20–30% [37] but also increases the number of marketing authorizations and consequently the access to such therapies, as demonstrated by a study on 21 European countries that showed that the average cost of erythropoietin fell by 35% from 2006 to 2013 [3]. Yet, as highlighted by a recent review [6], healthcare professionals still approach biosimilars with great caution and sometimes stigmatization, and, in particular, are generally opposed to multiple “switches” and interchangeability. Moreover, many treatment discontinuations with biosimilars seem to be linked to the nocebo effect [38]. Clinicians should, however, take into account the principle that no two biologics are identical, even if they are produced by the same manufacturer, as each biologic is different from another in itself [39]; they should also consider that regulations on biosimilars (unlike those on generics) are stringent and rigorous and this in itself is a guarantee (although not a certainty) of high-quality standards. Healthcare professionals and patients should, therefore, have a coherent, comprehensive, and unbiased view of the biosimilar. Still, to do so, their knowledge needs to be updated appropriately through effective and continuous training programs promoted by the various national regulatory agencies. Nevertheless, it is also necessary to collect more and more reassuring data on biologics in general and on interchangeability (and the possible induction of immunogenicity related to it), which is still the central dilemma among clinicians and stakeholders. It is also essential to consider that immunogenicity could be a consequence of several factors, such as the underlying disease, genetic background, age, and immune status, including immunomodulatory therapy, route of administration, dosing schedule, frequency, and duration of treatment, post-translational modifications, formulation, and impurities. Finally, it is essential to develop educational tools regarding the ADR reporting process for biological products, including the appropriate use of the specific product name and batch number, and reflect on the possibility of making such data more easily accessible to the clinician/or pharmacist.
The authors declare no conflict of interest.
European Medicines Agency antidrugs antibodies neutralizing antibodies European Union United States Food and Drug Administration Committee for Medicinal Products for Human Use summary of product characteristics Center for Drug Evaluation and Research risk management plan marketing authorization holders European public assessment report post-authorization safety studies post-authorization efficacy studies international nonproprietary names adverse drug reaction World Health Organization
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Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. 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He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. 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He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. 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She is also the Global Harmonization Initiative (GHI)",institutionString:"Australian College of Business & Technology",institution:{name:"Kobe College",institutionURL:null,country:{name:"Japan"}}}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. 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