Preparation of 2 × RT master mix with inhibitor/reaction RNase.
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IntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
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\\n\\nLaunching 2021
\\n\\nArtificial Intelligence, ISSN 2633-1403
\\n\\nVeterinary Medicine and Science, ISSN 2632-0517
\\n\\nBiochemistry, ISSN 2632-0983
\\n\\nBiomedical Engineering, ISSN 2631-5343
\\n\\nInfectious Diseases, ISSN 2631-6188
\\n\\nPhysiology (Coming Soon)
\\n\\nDentistry (Coming Soon)
\\n\\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\\n\\nNote: Edited in October 2021
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\n\nAfter a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
\n\nOur innovative Book Series format brings you:
\n\nIntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
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\n\nBiochemistry, ISSN 2632-0983
\n\nBiomedical Engineering, ISSN 2631-5343
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\n\nDentistry (Coming Soon)
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\n\nNote: Edited in October 2021
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It is one of the most important interdisciplinary domains which is being used promptly in healthcare, textile, electronics, and defense areas. In healthcare, the focus is more on developing cost-effective point of care wearable devices that can further be integrated with a smartphone for wireless data storage and analysis. The same approach has also been used in textile to develop intelligent garments. The development of new material systems, designs, and fabrication facilities have further strengthened this technology.
\r\n\r\n\tThe book will provide a deep insight into wearable technology for smart textile, defense, healthcare, and fitness applications, including wearable electronics circuits and devices. It will cover the latest research works carried out in materials, design, and fabrication technologies. Thus, the book “Wearable Technology” will be an exclusive reference material for academicians, researchers, and industry personnel (healthcare, textile, and electronics) working towards advancement in this inter-disciplinary area.
",isbn:"978-1-83768-367-3",printIsbn:"978-1-83768-366-6",pdfIsbn:"978-1-83768-368-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"702ff9d400a485f5cabc2a7fdcf83ff4",bookSignature:"Dr. Amit Kumar Goyal and Dr. Ajay Kumar",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/12031.jpg",keywords:"Smart Materials, Biomarkers Diagnostic, Pulse Measurement, Biomimetic Wearable Devices, Thermal E-textile, System on Textiles, Fabric Sensors, I-textile, Internet of Things, Flexible Transceiver, Memristor, MEMS Sensors",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"June 9th 2022",dateEndSecondStepPublish:"July 7th 2022",dateEndThirdStepPublish:"July 31st 2022",dateEndFourthStepPublish:"October 19th 2022",dateEndFifthStepPublish:"December 18th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"12 days",secondStepPassed:!1,areRegistrationsClosed:!1,currentStepOfPublishingProcess:2,editedByType:null,kuFlag:!1,biosketch:"Dr. Goyal received his Doctorate (Engineering Sciences) from CSIR-Central Electronics Engineering Research Institute (CSIR-CEERI), India. He is the recipient of the prestigious Quick Hire Fellowship and Senior Research Fellowship from CSIR. He is a member of OSA (Optical Society of America), and IAENG (International Association of Engineers) organizations. He is also an author and reviewer for many journals, working as a Postdoctoral Fellow at The Innovative Technologies Laboratory, Saudi Arabia.",coeditorOneBiosketch:"Dr. Kumar received his Ph.D. from Delhi Technological University where he was awarded commendable research excellent awards. He is currently an Assistant Professor in the Electronics and Communication Engineering Department at Jaypee Institute of Information Technology, a Junior Research Fellow at Delhi Technological University, and a visiting faculty in the Department of Electronics and Communication at the Netaji Subhas University of Technology. He is also a Senior Member of IEEE.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"463496",title:"Dr.",name:"Amit Kumar",middleName:null,surname:"Goyal",slug:"amit-kumar-goyal",fullName:"Amit Kumar Goyal",profilePictureURL:"https://mts.intechopen.com/storage/users/463496/images/system/463496.jpg",biography:"Amit Kumar Goyal received his Master (Advanced Semiconductor Electronics) and Doctorate degree (Engineering Sciences) from CSIR-Central Electronics Engineering Research Institute (CSIR-CEERI), India. He is recipient of prestigious Quick Hire Fellowship and Senior Research Fellowship from CSIR. He is a member of IEEE, OSA (Optical Society of America), and IAENG (International Association of Engineers) organizations. He is also an active reviewer for many reputed journals of the most of the leading publishers like IEEE, SPIE, Springer, IOPscience, Elsevier and OSA. Currently, he is working as an Postdoctoral Fellow at The Innovative Technologies Laboratory (ITL) in KAUST, Saudi Arabia.",institutionString:"The Innovative Technologies Laboratory (ITL) in KAUST",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:null}],coeditorOne:{id:"464519",title:"Dr.",name:"Ajay",middleName:null,surname:"Kumar",slug:"ajay-kumar",fullName:"Ajay Kumar",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:"Jaypee Institute of Information Technology",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Jaypee Institute of Information Technology",institutionURL:null,country:{name:"India"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"11",title:"Engineering",slug:"engineering"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"347259",firstName:"Karmen",lastName:"Daleta",middleName:null,title:"Ms.",imageUrl:"//cdnintech.com/web/frontend/www/assets/author.svg",email:"karmen@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"10198",title:"Response Surface Methodology in Engineering Science",subtitle:null,isOpenForSubmission:!1,hash:"1942bec30d40572f519327ca7a6d7aae",slug:"response-surface-methodology-in-engineering-science",bookSignature:"Palanikumar Kayaroganam",coverURL:"https://cdn.intechopen.com/books/images_new/10198.jpg",editedByType:"Edited by",editors:[{id:"321730",title:"Prof.",name:"Palanikumar",surname:"Kayaroganam",slug:"palanikumar-kayaroganam",fullName:"Palanikumar Kayaroganam"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"62693",title:"New Biomarkers in Screening Anthracycline-Induced Cardiotoxicity Only with Peripheral Blood Sampling",doi:"10.5772/intechopen.79587",slug:"new-biomarkers-in-screening-anthracycline-induced-cardiotoxicity-only-with-peripheral-blood-sampling",body:'\nImmunotherapy for cancer has been and still is a subject of intense research since the nineteenth century when Coley noticed that bacterial components can contribute to cancer regression and can cause an immune antitumor immune response.
\nPermanent cardiotoxic effects of conventional cytostatic therapy underscore the need for early diagnostic methods with great sensitivity to allow early detection of signs of cardiac dysfunction, the consequence of the cardiotoxic effects of cytostatic medication. The specificity of any test should allow for a precise risk/benefit analysis, a balance between the probability of cardiac dysfunction due to high drug doses and the consequences of stopping antitumor therapy.
\nSeveral Toll-like receptors (TLRs) are expressed in cardiomyocytes, including TLRs 2 and 4. Through these TLRs, cardiomyocytes respond to endogenous or exogenous signals that can influence pathophysiological responses to dilated cardiomyopathy. Expression or activation of both TLR2 and TLR4 are overregulated in experimental and in vivo (hypertensive and/or clinical heart failure patients) models. Therefore, inhibition of TLR signaling may be of great therapeutic benefit for dilatation cardiomyopathy (CMD), especially in the treatment with doxorubicin.
\nFor cardiovascular disorders, including doxorubicin-induced heart failure, an increased number of candidate markers were studied to be useful in detecting myocardial injuries. These include cardiac troponins and natriuretic peptides.
\nHowever, most of the results have highlighted the fact that some of the patients have detectable troponin, suggesting that this may be considered as a prognostic marker for doxorubicin-induced cardiotoxicity.
\nCardiac troponins are complex joints of thin filaments that are involved in the regulation of actin-myosin coupling in the cardiac muscle and consist of three subunits: troponins T, C, and I [1, 2, 3, 4].
\nCardiac troponins T and I are both highly sensitivity and have specificity for myocardial injuries [5]. Both markers are used as prognostic and diagnostic tools in acute coronary syndrome [6]. Cardiac troponins have also been studied from the perspective of use as markers for anthracycline-induced cardiotoxicity, with bivalent results [7].
\nThese contradictory results can be determined by many factors, such as heterogeneous population studies, variable cumulative doses of anthracycline, and different study protocols with different working methods.
\nThe utility of troponins was mainly demonstrated after administration of antineoplastic and β-sympathomimetic drugs, although the routine use of these markers in monitoring in patients receiving anthracycline therapy is far from being solved.
\nToll-like receptors (TLRs) are members of the interleukin-1 receptor family (IL1) and are involved in the ability to react to the molecular trigger associated with pathogenic microorganisms. Recent studies have shown that TLRs are activated by endogenous signals, such as heat shock proteins and oxidative stress, which can contribute to congestive heart failure.
\nOxidative stress is one of the major doxorubicin (Dox)-induced cardiac dysfunctions. Thus, we hypothesized that TLRs contribute to the pathogenesis of doxorubicin-induced cardiac dysfunction.
\nToll-like receptors (TLRs) recognize pathogens associated with molecular patterns such as lipopolysaccharides, peptidoglycan, bacterial lipoproteins, and oligonucleotides during inflammatory response.
\nTLRs have interleukin-1 (IL1)-like response pathways as an intracellular signaling means leading to the nuclear localization of the kb/Rel-type nuclear transcription factor (NF). Moreover, TLRs are expressed in various organs, such as the lung, brain, kidneys, heart, etc.
\nRecent studies have suggested that the “activated myocardium” through mediated TLR signaling pathways in response to exogenous ligands induces myocardial dysfunction.
\nOther studies analyzed by us for scientific documentation have also demonstrated that there are other signaling-mediated TLR pathways that are activated by endogenous signals such as heat shock protein and oxidative stress in cardiomyocytes isolated from ventricular level.
\nWe must also keep in mind that it has recently been shown that TLR2 plays an important role in ventricular remodeling after myocardial infarction and also with cardiac specificity (TLR4 compared to it does not have a system/organ specificity).
\nDoxorubicin (Dox) is an effective antitumor antibiotic in the anthracycline class. However, doxorubicin also induces cardiomyopathy leading to congestive heart failure, thus often limiting its clinical use.
\nDoxorubicin-induced cardiomyopathy is mainly caused by increased cardiac oxidant production.
\nIt has also been reported that treatment with doxorubicin causes the release of cytochrome C and results in the activation of caspase 3 and cellular apoptosis.
\nThese studies also indicate that free radicals play an important role in doxorubicin-induced cardiotoxicity.
\nBecause oxidative stress after administration of doxorubicin was identified as playing a central role in cardiac dysfunction, we hypothesized that the expression (or overexpression) of TLR2 and TLR4 contributes to the pathogenesis of doxorubicin-induced cardiac dysfunction.
\nSuccessful activation and maturation of specific tumoral immune cells are known to be mediated by bacterial endotoxin, which activates Toll-like receptor 4 (TLR4). TLR4 is expressed on a variety of immune and tumor cell types, but its activation may have opposite effects. While activation of TLR4 may promote antitumor immunity, it can also cause excessive tumor growth and immunosuppression.
\nHowever, TLR4 binding to endotoxin, as well as endogenous ligands, is a notable contribution to the outcome of treatment of various cancers, such as radiation or chemotherapy. Further research into the role and mechanisms of TLR4 activation in cancer may provide new antitumor adjuvants as well as TLR4 inhibitors that could prevent inflammation-induced carcinogenesis or the cardiotoxic effect of anthracyclines in treatment.
\nThe immune system plays an important role not only in defending against microbial infection but also in controlling and monitoring malignant tumors.
\nImmune cells scan the tissues with the objective of eliminating newly formed malignant cells before transforming into fully formed tumors. Malignant cells develop complicated mechanisms that allow them to inhibit immune cells by secreting specific cytokines that create an immunosuppressive medium [1]. Tumors can even directly kill the tumor-lymphocyte infiltration, which are CD95 sensitive, by expressing CD95L (Fas ligand) [2].
\nSo, inborn immunity is the first line of defense against microbial infection. The innate immune system cells can recognize the pathogen, and the appropriate immune response is triggered by Toll-like receptors (TLRs), undoubtedly the most important sets of immune-derived vertebrate receptors. TLRs recognize different molecules of microbial origin, called associated pathogenic molecular models. TLRs are located on the cell surface (TLR1, 2, 4, 5, 6) or endosomal compartments (TLR3, 7, 8, 9) with the main role to protect the body from infection. After recognizing these ligands, the TLRs dimerize and trigger a cytoplasmic signaling pathway that leads to the activation of several nuclear factors (e.g., NFκB, IRF) responsible for transcription of immune system genes [3].
\nSignaling of TLR receptors in immune system cells is critical for regulating innate and adaptive immune response, such as for antigen maturation and presentation as well as for CD8 + and T-cell cytotoxicity, all of which are important factors in antitumor immunity [4]. On the other hand, TLR stimulation may also lead to the proliferation of improved T-cell regulatory and suppressor-like functions in tumor development [5, 6, 7].
\nTLR expression is not limited to immune cells, and indeed many tumor cells have been determined by expression of TLRs, signaling by which they can stimulate tumor growth and immune system evasion [8, 9]. On the other hand, TLR signaling in tumor cells has also been demonstrated to reduce the proliferative capacity of tumor cells [10]. We will focus on reports on TLR4 signaling and its involvement in cancer development and progression.
\nTLRs are Toll homologs, insect receptors, which are involved in the determination of dorsoventral polarity during embryogenesis, as well as in the immune response against fungal infections [11, 12]. The first to be found in the human race was TLR4. Endotoxin (i.e., lipopolysaccharides), an external membrane component of Gram-negative bacteria, which is composed of a preserved amphipathic lipid and other variable polysaccharides, is also recognized.
\nThe TLR4 activation mechanism is quite complex and (unlike other TLRs) involves several auxiliary proteins (LBP, CD14) and a coreceptor (MD-2) [3] (Figure 1). This is actually MD-2 and not TLR4 that recognizes and binds directly to endotoxin [13, 14]. MD-2 is a soluble protein with a large hydrophobic pocket that represents the binding site for the lipid A lipid chains. Lipid A is usually composed of six acyl chains, but only five of them are bound in the hydrophobic pocket of MD-2.
\nTLR4 spatial representation.
The sixth acyl chain leaves the pocket and interacts with hydrophobic residues on the TLR4. These interactions are crucial for MD-2/TLR4 heterodimerization and are therefore a prerequisite for TLR4 activation, a cascade signaling [15, 16].
\nRecommended method: microparticle enzyme immunoassay (MEIA), quantitative determination of troponin I-cTnI in serum or plasma (troponin I cut-off value <0.04 ng/ml), and quantitative determination of BNP in plasma (BNP-100 pg/mL cut-off value).
\nSample collection: from each patient, take 2 ml of fresh blood for each sample collected in plastic tubes; subsequently centrifuge and store plasma/serum samples under optimum conditions at −20°C; and the maximum limit of 2 months is not exceeded.
\nThe number of samples taken from each patient should be two, with a certain periodicity: initially (before initiation of treatment), after the first three cycles of doxorubicin-anthracyclines, and 3 months after initiation of treatment or from inclusion in study.
\nAs previously mentioned, Toll-like receptors (TLRs) are members of the interleukin-1 receptor family (IL1) and are involved in the ability to react to the molecular trigger associated with pathogenic microorganisms. Recent studies have shown that TLR receptors are activated by endogenous signals, such as heat shock proteins and oxidative stress, which can contribute to congestive heart failure.
\nOxidative stress is one of the major doxorubicin (Dox)-induced cardiac dysfunctions. Thus, we hypothesized that TLR receptors contribute to the pathogenesis of doxorubicin-induced cardiac dysfunction.
\nToll-like receptors (TLRs) recognize pathogens associated with molecular patterns such as lipopolysaccharides, peptidoglycan, bacterial lipoproteins, and oligonucleotides during inflammatory response.
\nTLRs have interleukin-1 (IL1)-like response pathways as an intracellular signaling means leading to the nuclear localization of the kb/Rel-type nuclear transcription factor (NF). Moreover, TLRs are expressed in various organs, such as the lung, brain, kidneys, heart, etc.
\nRecent studies have suggested that the “activated myocardium” through mediated TLR signaling pathways in response to exogenous ligands induces myocardial dysfunction.
\nOther studies analyzed by us for scientific documentation have also demonstrated that there are other signaling-mediated TLR pathways that are activated by endogenous signals such as heat shock protein and oxidative stress in cardiomyocytes isolated from ventricular level.
\nWe must also keep in mind that it has recently been shown that TLR2 plays an important role in ventricular remodeling after myocardial infarction and also with cardiac specificity (TLR4 compared to it does not have a system/organ specificity).
\nDoxorubicin (Dox) is an effective antitumor antibiotic in the anthracycline class. However, doxorubicin also induces cardiomyopathy leading to congestive heart failure, thus often limiting its clinical use.
\nDoxorubicin-induced cardiomyopathy is mainly caused by increased cardiac oxidant production.
\nIt has also been reported that treatment with doxorubicin causes the release of cytochrome C and results in the activation of caspase 3 and cellular apoptosis.
\nThese studies also indicate that free radicals play an important role in doxorubicin-induced cardiotoxicity.
\nBecause oxidative stress after administration of doxorubicin was identified as playing a central role in cardiac dysfunction, we hypothesized that the expression (or overexpression) of TLR2 and TLR4 contributes to the pathogenesis of doxorubicin-induced cardiac dysfunction.
\nFor sampling we recommend the use of Tempus ™ Blood RNA Tube tubes (4,342,792, Applied Biosystems®—Figures 2, 3, 4).
\nTempus™ blood RNA tubes.
Graphic representation of the RNA isolation procedure.
Graphic representation of the RNA isolation procedure.
The tubes contain 6 ml Stabilizing Reagent.
\nEach tube will harvest 3 ml of peripheral venous blood from patients.
\nAfter harvest, the blood is mixed with the cell lysate stabilizing solution at the same time. The stabilizing agent inside the tube contains inhibitors of RNase while maintaining stable gene expression for more than 7 days at 4°C.
\nThe stabilizing solution allows the RNA to precipitate by maintaining the DNA and proteins in the solution.
\nAfter harvesting, samples should be kept at 4°C until RNA is isolated. Isolation of RNA will take place within 5 days of harvesting.
\nThe RNA isolation procedure includes:
The contents of the Tempus ™ Blood RNA Tube tubes were transferred to 50 mL tubes.
3 mL of PBS will be added.
Stir for 30 seconds after which the samples are vortexed at 3000 g for 30 minutes.
After centrifugation, the supernatant is discarded, and the tube is left in place for 1–2 minutes on an absorbent material.
The RNA pellet is resuspended in 400 μL of Purification Resuspension Solution and vortexed briefly; after resuspension the RNA will be purified.
For the reverse transcription reaction, the High Capacity cDNA Reverse Transcription Kits (4,368,814, Applied Biosystems) kit will be used.
\nThe procedure for obtaining cDNA is:
\nTwo master RT mixes according to Table 1 will be prepared.
\nComponent | \nQuantity (μL) | \n
---|---|
10✕ RT Buffer | \n2.0 | \n
25× dNTP Mix (100 mM) | \n0.8 | \n
10× RT Random Primers | \n2.0 | \n
MultiScribe™ Reverse Transcriptase | \n1.0 | \n
RNase Inhibitor | \n1.0 | \n
Nuclease-free H2O | \n3.2 | \n
Total volume/reaction | \n10.0 | \n
Preparation of 2 × RT master mix with inhibitor/reaction RNase.
Use 10 μL of 2X RT and 10 μL of RNA for a reaction, to obtain the RNA solution; the RNA samples should be diluted so that in the final 100 ng/5 μL RNA solution 400 ng RNA will be used for a 20 μL reaction volume.
\nThe amplification reaction will be performed using the 2720 Thermal Cycler (Applied Biosystems) according to the specified program (Table 2).
\n\n | Step 1 | \nStep 2 | \nStep 3 | \nStep 4 | \n
---|---|---|---|---|
Temperature (°C) | \n25 | \n37 | \n85 | \n4 | \n
Time (min) | \n10 | \n120 | \n5 | \n∞ | \n
The reverse transcription program.
For qRT-PCR amplification, the LightCycler 480 SYBR Green I Master kit, which is optimized for the LightCycler 480 Thermocycler, is used. The GAPDH was chosen as the reference gene. The sequence of amplimers used for the experiments is shown in the following table (TLR2 and TLR4 expression in peripheral blood mononuclear cells of patients with chronic cystic echinococcosis and its relationship with IL-10, Parasite Immunology, 2011, 33, 692–696, J.-Y. Shan, W.-Z. JI, H.-T. LI, T. Tuxun, R.-Y. LIN1, & H. Wen) (Table 3).
\nTLR 2 | \nSequence | \nBp | \nTm | \nGC% | \nProduct length | \n
---|---|---|---|---|---|
Forward primer | \n20 | \n61.52 | \n55.00 | \n125 | \n|
Reverse primer | \n20 | \n58.66 | \n50.00 | \n||
TLR 4 | \nBp | \nTm | \nGC% | \nProduct length | \n|
Forward primer | \n25 | \n62.54 | \n48.00 | \n143 | \n|
Reverse primer | \n25 | \n61.72 | \n40.00 | \n||
GAPDH | \nBp | \nTm | \nGC% | \nProduct length | \n|
Forward primer | \n20 | \n61.57 | \n60.00 | \n138 | \n|
Reverse primer | \n19 | \n61.14 | \n57.89 | \n
The sequence of used amplicons.
Amplicons should be brought to a concentration of 10 μM and cDNA samples at a concentration of 25 ng/μl.
\nIn a 0.5 mL Eppendorf tube, prepare the PCR mix according to Table 4.
\nComponents | \n1× | \n
---|---|
H2O | \n3 μl | \n
Primer F | \n1 μl | \n
Primer R | \n1 μl | \n
SYBR Green Master | \n10 μl | \n
Total | \n15 μl | \n
The PCR mix.
From this mix, place 15 μl each well of the multiwell plate, and then add 5 μl cDNA to the appropriate wells. Seal the plate with heat-resistant foil, and centrifuge at 1500 g for 2 minutes. After centrifugation, the plate will be inserted into the LightCycler 480, and the amplification program presented and detailed in this chapter will be used.
\nAfter amplification we recommend that the data be analyzed with the LightCycler 480 Software, Basic/Advanced Relative Quantitation (Table 5).
\nActivity | \nNumber of cycles | \nTemp (°C) | \nDuration | \nFluorescence acquisition | \n
---|---|---|---|---|
Preincubation | \n1 | \n96 | \n5 minutes | \n— | \n
Amplification | \n45 | \n95 | \n10 seconds | \n— | \n
60 | \n10 seconds | \n— | \n||
72 | \n20 seconds | \nSingle | \n||
Melting analysis | \n1 | \n95 | \n5 seconds | \n\n |
1 | \n55 | \n1 minute | \n\n | |
1 | \n97 | \n— | \nContinuous | \n|
Cooling | \n1 | \n40 | \n10 seconds | \n— | \n
Staged purification program.
A simple representation of the concept of a research (or knowledge) system in science and engineering can be imagined as a “black box,” considered only in terms of inputs, outputs, and function of the system or process in that system.
\nThe current state of knowledge from the perspective of myocardial immunomodulation during and after (possibly) cardiotoxic treatment with anthracycline (especially doxorubicin) can be empirically exemplified by this term “black box.” I mean, we own a “black box”; we know what goes into this “box”; we know as well what goes out DAR; we do not know what’s going on inside this “box.”
\nThus, we know of the presence of an immunomodulating inflammatory process in response to the anthracycline/doxorubicin molecular response and reaction; we know “cardiotoxic cardiovascular remodeling,” but we do not know in detail the mechanisms by which these specific phenomena or specific immunological activators are responsible.
\nDilated cardiomyopathy, a common cause of heart failure, is characterized by progressive cardiac remodeling and a decline in cardiac function. Currently, in the literature, the 5-year mortality rate for patients with dilatation cardiomyopathy is 50%. While many studies have documented that dilated cardiomyopathy has both idiopathic and genetic origins, it is being attempted at international academic medical level to demonstrate that inflammation of different origins and manifestations also induces dilated cardiomyopathy. Doxorubicin (Dox) is an effective antitumor agent. Despite its use as a common chemotherapeutic agent, the use of Dox may lead to cardiotoxicity.
\nMultiple intravenous treatments with doxorubicin over a period of several months have been shown to induce cardiomyopathy in mice and cardiomyopathy in humans [8]. Inborn immune response is the first line of defense and is responsible for the immediate recognition and counteraction of microbial invasion or any agents considered harmful to the body. This component of the immune system consists mainly of phagocytes-macrophages and neutrophils—which ingest and kill pathogens and then transmit information to the adaptive immune system by producing cytokines and chemokinesis by presenting to the lymphocytes the microbial antigen, which leads to the development of a specific response.
\nThis specificity of the adaptive immune response, which is mediated by B and T lymphocytes, is accomplished by somatic mutations and the selection of receptors that most accurately recognize microbial antigens. In contrast, the innate immune response uses “pattern recognition receptors” (PRRs), which recognize highly conserved microbial structures, allowing the host to quickly identify a wide range of pathogens without the somatic mutation time. Generally, each receptor recognizes a series of microorganisms based on ligand specificities. Some receptors also have endogenous ligands and play essential roles in homeostasis (Brown G.D. 2006). Key receptors involved in the recognition of infectious agents and products released by injured or “dying” cells are Toll-like receptors (TLRs).
\nActivation of innate immune system receptors is followed by rapid changes in gene expression, including genes for cytokines, chemokines, degradative enzymes, and enzymes responsible for the production of small molecule inflammatory mediators. Thus, the released cytokines and chemokines can activate and recruit other cells at the site of the infection or at the site of “the presence of a non-self” (in the case of doxorubicin both by direct effect on receptors and by synthesis and degreasing) finally leading to the activation of the adaptive immune response. In mammals, activation of TLR signaling induces both innate and adaptive immune responses. By phagocytosis of microbial pathogens or non-self agents, TLR membranes (TLR-2, TLR-4) are recruited by phagosomes and are thus activated (mature as self-contained components) through cellular or microbial wall components. This phagosome maturation is also regulated by intracellular signals transmitted by the TLR and ensures the selection of microbial antigens and their presentation by MHC II molecules. It is imperative that immature innate responses be fine-tuned. Delayed or insufficiently comprehensive responses lead to a failure to control infection or overexpressed inflammatory response in our case (doxorubicin cure). However, excessive or inadequate inflammation may be harmful and even fatal. Hyperinflammatory responses that characterize the body’s response to treatment with doxorubicin or other anthracyclines provide a paradigmatic example, such as that excessive inflammation leads to inflammatory bowel disease and arthritis. Endogenous ligands of TLR2 and TLR4 include extracellular matrix products (hyaluronate and heparan sulfate) and molecules released by dead or injured cells (HMGB1, fibronectin, heat shock proteins, fibrinogen, and low density lipoproteins). Many of these molecules accumulate in patients’ joints or other inflammatory sites, for example, in the myocardium with subsequent expression through an inflammatory process. The precise mechanism by which the TLR recognizes such a wide range of structures is not yet clarified (Marshak-Rothstein A, 2006). Multiple Toll-like receptors (TLRs) are expressed in cardiomyocytes, including TLR2 and TLR4. By these TLRs, cardiomyocytes respond to endogenous or exogenous signals that may influence pathophysiological responses to induce dilated cardiomyopathy.
\nExpression or activation of both TLR2 and TLR4 is often expressed in experimental and research models (both human and animal) by hypertension and with proven clinical heart failure [6]. Therefore, inhibition of TLR signaling may be of great therapeutic benefit for doxorubicin-induced cardiotoxic cardiomyopathy. Toll-like receptors (TLRs) recognize pathogens associated with molecular patterns such as lipopolysaccharides, peptidoglycan, bacterial lipoproteins, and oligonucleotides during inflammatory response. TLRs have interleukin-1 (IL1)-like response pathways as an intracellular signaling means leading to the nuclear localization of the kb/Rel-type nuclear transcription factor (NF).
\nMoreover, TLRs are expressed in various organs, such as the lung, brain, kidneys, heart, etc. Recent studies have suggested that the “activated myocardium” through mediated TLR signaling pathways in response to exogenous ligands induces myocardial dysfunction. Other studies analyzed by us for scientific documentation have also demonstrated that there are other signaling-mediated TLR pathways that are activated by endogenous signals such as heat shock protein and oxidative stress in cardiomyocytes isolated from ventricular level.
\nWe must also keep in mind that it has recently been shown that TLR2 plays an important role in ventricular remodeling after myocardial infarction and also with cardiac specificity (TLR4 compared to it does not have a system/organ specificity). Doxorubicin (Dox) is an effective antitumor antibiotic in the anthracycline class. However, doxorubicin also induces cardiomyopathy leading to congestive heart failure, thus often limiting its clinical use.
\nDoxorubicin-induced cardiomyopathy is mainly caused by increased cardiac oxidant production. It has also been reported that treatment with doxorubicin causes the release of cytochrome C and results in the activation of caspase 3 and cellular apoptosis. These studies also indicate that free radicals play an important role in doxorubicin-induced cardiotoxicity. Because oxidative stress after administration of doxorubicin has been identified to play a central role in cardiac dysfunction, we hypothesized that the expression (or overexpression exact) of TLR2 and TLR4 contributes to the pathogenesis of doxorubicin-induced cardiac dysfunction.
\nNothing to declare.
Fire is a global phenomenon that has historically maintained the structure and function of a range of ecosystems. Many ecosystems are adapted to periodic fire events, known as fire regimes, that describe the interval and severity of fire in a particular system. However, human influences in the twentieth century have changed the frequency and severity of wildfire in many forested ecosystems and understanding these shifts of fire regimes has been a major topic of investigation for the past several decades. This research has elucidated the numerous, complex, and interactive environmental factors driving shifts in wildfire regimes. Annually, 450 mHa of the Earth surface is burned due to wildfire [1], and the severity of wildland fires across the US has increased since the 1980s [2]. This is important because as the size, severity, and frequency of fires have changed, their influence on human infrastructure has become more damaging and costly.
\nThe wildland-urban interface (WUI) is the boundary where human civilization and unmanaged lands meet. Currently, this interface occupies over 770,000 km2 in the US, and increases in area classified as WUI are driven by ongoing development that pushes urban environments further into wildland areas [3]. Increasing development into the WUI puts increasing numbers of structures, mainly residential homes, and human lives at risk to damage or loss via wildfire. Further, the infrastructure required by the WUI presents an additional source of ignitions in areas that are primed to burn. While trees exhibit traits of fire resistance [4, 5], houses, in particular older structures, burn with greater intensity and speed. For example, the 2018 Camp Fire in the Sierra Nevada of California burned quickly through the town of Paradise while leaving many standing trees scorched but not completely burnt. While this fire had many complex causes [6], the quick spread of the fire through the town was a reason that escape was made difficult despite a populous aware and prepared for the danger.
\nWhile these changes in fire regimes have exacerbated the damage in WUI, anthropogenic climate change is expected to intensify the risk by fire to WUIs. Across the US, climate change in the next century is projected to drive increases in wildfire severity in some areas, and increased wildfire incidence in other areas [7]. Shifts in wildfire patterns will be driven by shifts in precipitation timing and amounts, vegetation, temperature regimes, and drought conditions [8, 9, 10, 11]. While changing climate patterns have been reasonably well characterized, wildfire regimes are more complex to predict due to the interconnected nature of the drivers and heterogeneous nature of ignition sources. It is critical to understand and provide more accurate predictions for shifts in wildfire frequency and severity, due to the loss of life, economic damage, related catastrophic environmental events, such as flooding or water quality damage. This is particularly important as human development into the wildland areas, which are more prone to wildfires, has increased significantly over the past half century.
\nFire regimes integrate the tendency of vegetation to burn and the climate conditions that promote fire in a metric that describes the spatial and temporal nature of fire in a particular region. While there are several ways to calculate these metrics [12] a general calculation includes a measure of how frequently a fire occurs at a location (i.e., the average fire return interval) and the effect that fire has on vegetation (i.e., the severity of the fire). Variability in fire regimes is driven by differences in elevation, vegetation life history, drought and precipitation patterns, land-use, among other ecosystem-specific parameters [13, 14]. Many animal and plant species have co-evolved with fire and are adapted to specific fire regimes [15]. Some denser-growing vegetation species are adapted to higher severity and stand-replacing burns, such as in the Northern Rockies, while other species are more adapted to lower and more moderate severity burns, such as in the southern Sierra Nevada.
\nThe inherent complexity and spatial heterogeneity of fire regimes make it difficult to make general recommendations for fire management [15]. However, the implications of an expanding WUI and increasing trends of fire activity indicate a clear problem for fire management. This is compounded by the possibility that fire regimes may shift over time in response to anthropogenic driven changes in management, vegetation composition and density, and climate [16, 17].
\nHistorically, fire regimes were mostly driven by an ecosystem’s vegetation, climate conditions, and human activities, which varied both spatially and temporally over the US. In the Northern Rocky Mountains, stand replacing fires are typical in pine forests of the region [18, 19]. Fires in this ecosystem occur at relatively low frequency (longer return intervals), but when they do occur, they can burn large areas of forest ecosystems at high severity, e.g., the Yellowstone fire in 1988 [20, 21, 22]. In contrast, low-intensity fires occurred more frequently in the southwestern forests of New Mexico and Arizona, due to the dry and warm semi-arid climate and tree species that exhibited resistance to fires (e.g.,
Fire severity is in part controlled by the density of the fuels and fire return interval. In photo A, loblolly pine (
The shift in fire regimes in the Sierra Nevada is an example of the interactive effects of human management and climate change. Prior to Euro-American settlement, natural lighting strikes and fire activities by Native Americans were the main causes of fire ignitions in the Sierra Nevada [26]. Forests were burned with mixed-severity fires that included both light to moderate burning of understory and crown fires at the interval of a decade or two. The small trees and ground fuels were killed and cleaned in fires periodically, leaving patches of large, mature trees that are more resistant to wildfires due to thick bark that is hard to burn, preventing fire from spreading to the canopy [4, 5]. However, a combination of human influences changed the structure of these forests and made them more susceptible to frequent fires that spread through canopies. Early twentieth century logging practices preferentially selected for these larger trees, opening up space for denser thickets of small trees to colonize, leading to increases in forest density [27]. This change in structure was reinforced by widespread suppression of fires that historically cleared out undergrowth. Since the early twentieth century, fire suppression as a forest management technique was widely adopted after several large and severe wildfires in the Northern Rockies that killed many and destroyed a number of settlements. The fire suppression efforts were successful in excluding low-severity fires, and this management strategy reduced the fire frequency to the lowest frequency measured in the past 3000 years [28]. Consequently, the accompanying densification of forests due to the fire deficit has contributed to increasing numbers of devastating fires in late twentieth and twenty-first centuries [29]. This shift in fire regimes is the result of combined factors including (1) the reduction of regular fire usage, which were regularly conducted by Native Americans to reduce fuel loads and to encourage culturally important vegetation [30]; (2) legacy of decades of fire-suppression that densified undergrowth which lead to increased spread of fire; (3) removal of large trees, which are resilient to low-to-medium fires, due to industrialized timber logging; (4) the disappearing of gaps among trees, which could have stopped fire from spreading, but were filled with smaller and denser trees that can easily act as continuous fuel sources and (5) species change from those with fire adverse traits, to shade-tolerant ones [31]. The current fire regime that includes more high-severity, large fire size, is a significant challenge to forest managers and is a critical risk to the safety of human life and development in the WUI.
\nDrivers of wildfire include three main categories: regional climate, fuel availability and condition, and ignition sources. In areas of low fuel density, sources of ignition drive fire occurrence; however, in higher population density areas, such as the WUI, fuel availability drives fire occurrence [32]. Climate influences fire occurrence by the timing and amount of precipitation, temperature, and wind speed. Wildfire season starts when all these climate features reach their thresholds. The intensity of drought and strength of wind as well as the length of wildfire season is highly related to the severity and risk of wildfires. Westerling et al. [17] found that an extended fire season, resulting from earlier spring warming and extended drought in late fall, increased the fire frequency and severity in the Western US. This trend is predicted to continue as climate gets warmer and drier with ongoing climate change [7]. In the eastern US, precipitation and temperature patterns form a different climate, and thus different fire seasons than the western US. Southwestern forests are influenced by late-summer precipitation stemming from the North American monsoon that end fire-season earlier in the year. The pacific north-west and the Northern Rockies are routinely colder and wetter, thus interannual fire season lengths are short in general.
\nThe available fuel load in part determines the extent of wildfire, including what and how much can be burned. In areas with limited fuel loads, such as the shrubland and grassland in Southwestern US, fires can occur frequently but are usually low-severity burns. High severity burns often occur in forests with large and dense biomass, which can provide plentiful fuel sources for wildfires. The spatial continuity of fuels also plays a critical role in shifts in fire regimes. The combination of large trees and clearings in forest floor vegetation in historical frequent-fire Western forests constrained the spread of crown fires. Examples of this are found in ponderosa or giant sequoia groves. However, effective fire suppression until the 1980s has reduced the number of surface fires that would have removed the ground and understory fuels periodically. Small trees and undergrowth filled the gaps between trunks and created continuous fuels that could carry flames to tree crowns, which has in part lead to higher severity and larger fires in the Western US that are currently observed [33] (Figure 2). Thus, forest and fire management can change fire regimes by changing the quantity and structure of fuels.
\nThe number of fires and land area burned in wildlands. Data are from the National Interagency Fire Center [
Ignitions are a critical factor of wildfire regimes. Before the European settlement, lightning and Native American activities were the sources of ignition. As populations and permanent infrastructure expanded in the past century, sources of ignitions diversified, particularly in the WUI. While lightning is still an ignition source of large, severe wildfires in areas of lower population density such as in boreal forests and at higher latitudes [29], more fires are ignited by Anthropogenic sources, particularly as the WUI expands, such as sparks from power lines [34], accidental flares from camping fires [35], and deliberate arson [36].
\nThe interactions among the three factors can change fire regimes in a positive feedback cycle. In areas with low population and human activities, sources of fire ignition increase fire occurrence, but in areas with high population density and frequent human activities, fuel availability drives the fire regime. In the meanwhile, shifts in climate can either increase or decrease the probability of fire occurrences in addition to the other two drivers.
\nPrior to Native American settlement of North America, wildfires were unmanaged, and their severity and frequency were a result of the available fuel load and local climatic factors, namely precipitation, temperature, and drought conditions [37, 38]. North America was settled approximately 14,000 years ago [39], and there is considerable evidence for management of landscapes by Native Americans [40]. The exact magnitude of Native American burning is difficult to determine, due to methodological limitations in reconstructing historic fire frequencies [41], but the available evidence suggests that Native Americans utilized low severity burns in order to maintain prairie habitats and encourage growth of vegetation for cultural usage [40, 42]. The reconstructed fire record of the western US suggests that much of the pre-European settlement wildfire regime was primarily dictated by large-scale climate patterns, rather than via human influence [28].
\nAround the turn of the twenty-first century, policies were introduced to encourage fire suppression, mainly wildland firefighting, in part as a response to fires in the Northern Rockies in 1910 and as a means to protect timber resources and human settlements [43, 44]. These policies generally did not consider fire suppression via other management strategies (e.g., fuel load reductions, prescribed burning), which led to a significant increase in the density of American forests [43].
\nIn the past several decades, scientific research indicated the role that fires play in natural ecosystems in shaping ecosystem dynamics, but also to prevent the large fuel loading that results in larger, more severe wildfires. Following this research and shifts in political perspectives, recent changes in legislation, namely the Healthy Forests Initiative (2002) and the Healthy Forests Restoration Act (2003) [44], have allowed for more prescribed burning (Figure 3). This rapid increase in the use of prescribed fire across the US is likely to lead to a shift back towards a more natural fire regime in some areas, although it is unlikely that the magnitude of prescribed burning would approach the extent of what would naturally occur.
\nNumber of prescribed fires and acres burned in the United States from 1997 to 2018, data from the National Interagency Fire Center.
Prescribed burning has been widely adopted in the southeastern US, which in recent decades has led to a decrease in wildfires, with some exceptions in drought years [45]. In the western US, prescribed burning has been slower to be more widely adopted as a management strategy due to a number of factors, including the larger proportion of public lands, more restrictive legislation, and concerns about emissions and air quality [46]. Across the US, considerable public weariness of prescribed fire has also been a major barrier to its widespread use [46], due to concerns about control of the burns and air quality.
\nProjections for future wildfire regimes indicate that some areas of the US will experience larger and more severe wildfires, while other areas will experience fewer and less severe wildfires. The accuracy of these projections will in part depend upon management techniques within fire-prone ecosystems, including the use of prescribed burning vs. fire suppression [16]. In their recent study, Parks, Miller [16] project significant decreases in wildfire severity in the western US, which they attribute to changes in fuel loads into the twenty-first century and water deficit conditions. In the southeastern US, projections indicate a slight increase in area burned, with considerable variability across different states [47].
\nThe major concerns of wildfire in the WUI are the risk to human life, structures, and economic productivity. The WUI comprises 9% of the land in the US, which equates to 39% of all housing units [48]. Prior development increased the proportion of land classified as a WUI from 1970 to 2000 by 52%, with future projections for ongoing increases in WUI lands [49].
\nOne major consideration for management of wildfire risk at the WUI is understanding the drivers of shifts in wildfire regimes into the future. Some modeling work has predicted that shifts in fire regimes into the future will be more significant for wildfire occurrence at the WUI than expansion of WUI development [50]. However, with increasing areas classified as WUI, there are also increasing ignition sources for wildfires and developed lands that could suffer wildfire damage [3]. Some modeling work has shown that whether a residence has fire proofing, and the density of surrounding homes and vegetation all interact to control the severity and size of wildfire [51].
\nUnderstanding attitudes concerning wildfire management at the WUI has drawn considerable research attention, because frequently public perception of the use of wildfire management techniques prevents their use [52, 53, 54]. Some of the major concerns are related to the cost of implementation of the management technique and direct impacts during implementation, such as decreased air quality during prescribed fire, and drawbacks of particular fire management techniques, including costs [53, 54]. Public attitudes towards wildfire management at the WUI also depend upon local factors, including previous wildfire management strategies employed, trust in local agencies responsible for managing wildfire risk, and individual attitudes towards the management techniques [53, 55, 56].
\nAs development has continued into the wildland-urban interface over the past several centuries, wildfire severity has increased [40]. Recent research has indicated that some populations are aware that future shifts in climate may lead to increased risk of wildfire and related property damage [57]. However, public perceptions of climate change have not significantly shifted in the past several decades, except along some partisan divides [58]. Regardless of public awareness of shifting wildfire risk into the future, areas of increased risk are facing increased insurance premiums and rates, as they already have in California [59].
\nThe main historic and current strategy to reduce the risk of wildfire has been fuel reduction [3, 54]. In wildlands, prescribed fire, allowing natural fires to burn within designated boundaries, and mechanical treatments, such as thinning or mastication, are the main strategies that have been successfully used to reduce wildfire frequency and severity [60]. There is a need to develop or re-develop the natural fire regime, or shift towards a more frequent, lower intensity fire regime, particularly in the Western US [40].
\nLand managers of ecosystems that are highly prone to wildfire at the WUI will likely need to undertake a proactive management approach to protect human safety and infrastructure in the WUI [40]. A commonly utilized strategy at the WUI is the establishment of a “defensible space” around residences and other properties, which reduces vegetation and other burn hazards adjacent and up to 30 m away from buildings [61]. Buildings can also be constructed of combustion-resistant materials, although this strategy is more effective when combined with defensible space [62].
\nWhile many strategies have been identified to manage forests at the wildland-urban interface, they have not been widely adopted due to a combination of factors, including lack of funding and political willpower [63]. Current research has indicated the effectiveness of utilizing prescribed fire to reduce the frequency and severity [45]. Expanded and more frequent use of prescribed fire and other fuel reduction techniques in the WUI can serve to protect infrastructure from more catastrophic wildfire and act to re-establish a historic wildfire regime.
\nOne of the major barriers to increasing use of fuel reduction management strategies is public perception of both the use of these techniques and the increased risk of wildfire with ongoing climate change. Future management strategies should continue to include strategies for managing public perception to increase acceptance and participation in fuel management at the WUI and to increase understanding of the diverse factors involved in managing forests for both prescribed fire and wildfire events [64]. Additionally, these strategies should continue to focus on informing the public about the efficacy of defensible spaces and improve development planning to ensure greater accessibility, improved use of defensible space, and better building design [61].
\nThere is considerable current and ongoing research focused on enhancing fire condition predictors and managing strategies related to reducing the severity and frequency of wildfires [16, 17, 65, 66]. Ongoing research in refining future climate predictions will generate considerably more certainty to predictions for future fire regimes. However, work in the area should focus more on the dynamics of wildfire at the WUI due to the critical resources that are at risk in those areas.
\nMany of the obstacles to implanting these management strategies are political in nature, with responsibility falling to local governments operating under limited funding and variable community support [63]. Some recent research has indicated that local differences in legal liability for prescribed burning lead to significant differences in the amount of land burned via prescribed fires [67]. While features of landscapes that make them prone to wildfire have been reasonably well-described, future research on mitigating the effects of wildfire in the WUI should consider the human dimension to management decision making [46]. Historically, human management has driven much of the increase in wildfire severity, and into the future, there will be a need for management strategies that reconcile natural fire regimes with protection of human life and property at the WUI.
\nModern fire regimes are largely driven by anthropogenic activities and widely differ from pre-European and pre-Native American wildfire regimes. In the coming decades and century, projected climate shifts will drive corresponding shifts in wildfire occurrence and severity, with differing projections for different regions of the US. Development in the WUI needs to be informed for how to manage local shifts in wildfire regimes to mitigate the impacts of severe wildfire, and some of the ability of an area to respond is related to public perception of the risks of wildfire.
\nThe authors would like to thank and acknowledge Joseph Crockett for comments on earlier versions of this book chapter.
\nThe authors declare no conflict of interest.
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May 18, 2022 | 1:00 PM - 2:00 PM CEST
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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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