Biological, genetic and epigenetic markers in ulcerative colitis

IF 2.5 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL Advances in medical sciences Pub Date : 2023-09-01 DOI:10.1016/j.advms.2023.09.010
Gemma Caliendo , Giovanna D'Elia , Jasmine Makker , Luana Passariello , Luisa Albanese , Anna Maria Molinari , Maria Teresa Vietri
{"title":"Biological, genetic and epigenetic markers in ulcerative colitis","authors":"Gemma Caliendo ,&nbsp;Giovanna D'Elia ,&nbsp;Jasmine Makker ,&nbsp;Luana Passariello ,&nbsp;Luisa Albanese ,&nbsp;Anna Maria Molinari ,&nbsp;Maria Teresa Vietri","doi":"10.1016/j.advms.2023.09.010","DOIUrl":null,"url":null,"abstract":"<div><p><span>In this review, we have summarized the existing knowledge of ulcerative colitis<span> (UC) markers based on current literature, specifically, the roles of potential new biomarkers, such as circulating, fecal, genetic<span><span>, and epigenetic<span> alterations, in UC onset, disease activity, and in therapy response. UC is a complex multifactorial inflammatory disease. There are many invasive and non-invasive diagnostic methods in UC, including several laboratory markers which are employed in diagnosis and disease assessment; however, </span></span>colonoscopy remains the most widely used method. Common laboratory abnormalities currently used in the clinical practice include inflammation-induced alterations, serum autoantibodies, and antibodies against </span></span></span>bacterial antigens. Other new serum and fecal biomarkers are supportive in diagnosis and monitoring disease activity and therapy response; and potential salivary markers are currently being evaluated as well. Several UC-related genetic and epigenetic alterations are implied in its pathogenesis and therapeutic response. Moreover, the use of artificial intelligence in the integration of laboratory biomarkers and big data could potentially be useful in clinical translation and precision medicine in UC management.</p></div>","PeriodicalId":7347,"journal":{"name":"Advances in medical sciences","volume":"68 2","pages":"Pages 386-395"},"PeriodicalIF":2.5000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in medical sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1896112623000378","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

In this review, we have summarized the existing knowledge of ulcerative colitis (UC) markers based on current literature, specifically, the roles of potential new biomarkers, such as circulating, fecal, genetic, and epigenetic alterations, in UC onset, disease activity, and in therapy response. UC is a complex multifactorial inflammatory disease. There are many invasive and non-invasive diagnostic methods in UC, including several laboratory markers which are employed in diagnosis and disease assessment; however, colonoscopy remains the most widely used method. Common laboratory abnormalities currently used in the clinical practice include inflammation-induced alterations, serum autoantibodies, and antibodies against bacterial antigens. Other new serum and fecal biomarkers are supportive in diagnosis and monitoring disease activity and therapy response; and potential salivary markers are currently being evaluated as well. Several UC-related genetic and epigenetic alterations are implied in its pathogenesis and therapeutic response. Moreover, the use of artificial intelligence in the integration of laboratory biomarkers and big data could potentially be useful in clinical translation and precision medicine in UC management.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
溃疡性结肠炎的生物学、遗传学和表观遗传学标志物。
在这篇综述中,我们根据现有文献总结了溃疡性结肠炎(UC)标志物的现有知识,特别是潜在的新生物标志物,如循环、粪便、遗传和表观遗传学改变,在UC发病、疾病活动和治疗反应中的作用。UC是一种复杂的多因素炎症性疾病。UC有许多侵入性和非侵入性诊断方法,包括用于诊断和疾病评估的几种实验室标志物;然而,结肠镜检查仍然是最广泛使用的方法。目前在临床实践中使用的常见实验室异常包括炎症引起的改变、血清自身抗体和针对细菌抗原的抗体。其他新的血清和粪便生物标志物有助于诊断和监测疾病活动和治疗反应;并且潜在的唾液标志物目前也在评估中。UC的发病机制和治疗反应中暗示了一些与UC相关的遗传和表观遗传学改变。此外,将人工智能用于实验室生物标志物和大数据的集成,可能有助于UC管理中的临床翻译和精准医学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Advances in medical sciences
Advances in medical sciences 医学-医学:研究与实验
CiteScore
5.00
自引率
0.00%
发文量
53
审稿时长
25 days
期刊介绍: Advances in Medical Sciences is an international, peer-reviewed journal that welcomes original research articles and reviews on current advances in life sciences, preclinical and clinical medicine, and related disciplines. The Journal’s primary aim is to make every effort to contribute to progress in medical sciences. The strive is to bridge laboratory and clinical settings with cutting edge research findings and new developments. Advances in Medical Sciences publishes articles which bring novel insights into diagnostic and molecular imaging, offering essential prior knowledge for diagnosis and treatment indispensable in all areas of medical sciences. It also publishes articles on pathological sciences giving foundation knowledge on the overall study of human diseases. Through its publications Advances in Medical Sciences also stresses the importance of pharmaceutical sciences as a rapidly and ever expanding area of research on drug design, development, action and evaluation contributing significantly to a variety of scientific disciplines. The journal welcomes submissions from the following disciplines: General and internal medicine, Cancer research, Genetics, Endocrinology, Gastroenterology, Cardiology and Cardiovascular Medicine, Immunology and Allergy, Pathology and Forensic Medicine, Cell and molecular Biology, Haematology, Biochemistry, Clinical and Experimental Pathology.
期刊最新文献
Targeting treatment resistance in cervical cancer: A new avenue for senolytic therapies. Recurrent hepatocellular carcinoma is associated with the enrichment of MYC targets gene sets, elevated high confidence deleterious mutations and alternative splicing of DDB2 and BRCA1 transcripts Knockout of histone deacetylase 8 gene in breast cancer cells may alter the expression pattern of the signaling molecules Combination therapy of placenta-derived mesenchymal stem cells and artificial dermal scaffold promotes full-thickness skin defects vascularization in rat animal model Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: A machine learning approach utilizing clinical and laboratory data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1