{"title":"识别哮喘内型的表观遗传学方法。","authors":"Audrey Kelly, Paul Lavender","doi":"10.4168/aair.2024.16.2.130","DOIUrl":null,"url":null,"abstract":"<p><p>The prevalence of asthma escalated rapidly in the late 20th century. In 2019, the World Health Organization estimated the global number of people affected by the condition to be approximately 260 million, causing 450,000 deaths during that year. While there have been advances in therapeutics with the emergence of biologics targeting T2-high asthma, there is still little clarity on the mechanisms underlying the origins of both the condition and all of its endotypes. Several biomarkers for particular asthma phenotypes have been documented. These are generally identified from transcriptomics and proteomics protocols and tend to be biased to T2-high phenotypes. In this review, we summarize some suggestions that analysis of epigenomes may provide alternative datasets that inform of broader asthma endotypes and might highlight pathways amenable for therapeutic intervention.</p>","PeriodicalId":7547,"journal":{"name":"Allergy, Asthma & Immunology Research","volume":"16 2","pages":"130-141"},"PeriodicalIF":4.1000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10973632/pdf/","citationCount":"0","resultStr":"{\"title\":\"Epigenetic Approaches to Identifying Asthma Endotypes.\",\"authors\":\"Audrey Kelly, Paul Lavender\",\"doi\":\"10.4168/aair.2024.16.2.130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The prevalence of asthma escalated rapidly in the late 20th century. In 2019, the World Health Organization estimated the global number of people affected by the condition to be approximately 260 million, causing 450,000 deaths during that year. While there have been advances in therapeutics with the emergence of biologics targeting T2-high asthma, there is still little clarity on the mechanisms underlying the origins of both the condition and all of its endotypes. Several biomarkers for particular asthma phenotypes have been documented. These are generally identified from transcriptomics and proteomics protocols and tend to be biased to T2-high phenotypes. In this review, we summarize some suggestions that analysis of epigenomes may provide alternative datasets that inform of broader asthma endotypes and might highlight pathways amenable for therapeutic intervention.</p>\",\"PeriodicalId\":7547,\"journal\":{\"name\":\"Allergy, Asthma & Immunology Research\",\"volume\":\"16 2\",\"pages\":\"130-141\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10973632/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Allergy, Asthma & Immunology Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4168/aair.2024.16.2.130\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ALLERGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Allergy, Asthma & Immunology Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4168/aair.2024.16.2.130","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ALLERGY","Score":null,"Total":0}
Epigenetic Approaches to Identifying Asthma Endotypes.
The prevalence of asthma escalated rapidly in the late 20th century. In 2019, the World Health Organization estimated the global number of people affected by the condition to be approximately 260 million, causing 450,000 deaths during that year. While there have been advances in therapeutics with the emergence of biologics targeting T2-high asthma, there is still little clarity on the mechanisms underlying the origins of both the condition and all of its endotypes. Several biomarkers for particular asthma phenotypes have been documented. These are generally identified from transcriptomics and proteomics protocols and tend to be biased to T2-high phenotypes. In this review, we summarize some suggestions that analysis of epigenomes may provide alternative datasets that inform of broader asthma endotypes and might highlight pathways amenable for therapeutic intervention.
期刊介绍:
The journal features cutting-edge original research, brief communications, and state-of-the-art reviews in the specialties of allergy, asthma, and immunology, including clinical and experimental studies and instructive case reports. Contemporary reviews summarize information on topics for researchers and physicians in the fields of allergy and immunology. As of January 2017, AAIR do not accept case reports. However, if it is a clinically important case, authors can submit it in the form of letter to the Editor. Editorials and letters to the Editor explore controversial issues and encourage further discussion among physicians dealing with allergy, immunology, pediatric respirology, and related medical fields. AAIR also features topics in practice and management and recent advances in equipment and techniques for clinicians concerned with clinical manifestations of allergies and pediatric respiratory diseases.