补体依赖性细胞毒性交叉配型和 HLA 分型在实体器官移植中的作用。

IF 1.4 Q4 PHARMACOLOGY & PHARMACY Reviews on recent clinical trials Pub Date : 2024-01-01 DOI:10.2174/0115748871266738231218145616
Arpit Tiwari, Sayali Mukherjee
{"title":"补体依赖性细胞毒性交叉配型和 HLA 分型在实体器官移植中的作用。","authors":"Arpit Tiwari, Sayali Mukherjee","doi":"10.2174/0115748871266738231218145616","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Solid organ transplantation is a life-saving medical operation that has progressed greatly because of developments in diagnostic tools and histocompatibility tests. Crossmatching for complement-dependent cytotoxicity (CDC) and human leukocyte antigen (HLA) typing are two important methods for checking graft compatibility and reducing the risk of graft rejection. HLA typing and CDC crossmatching are critical in kidney, heart, lung, liver, pancreas, intestine, and multi-organ transplantation.</p><p><strong>Methods: </strong>A systematic literature search was conducted on the internet, using PubMed, Scopus, and Google Scholar databases, to identify peer-reviewed publications about solid organ transplants, HLA typing, and CDC crossmatching.</p><p><strong>Conclusion: </strong>Recent advances in HLA typing have allowed for high-resolution evaluation, epitope matching, and personalized therapy methods. Genomic profiling, next-generation sequencing, and artificial intelligence have improved HLA typing precision, resulting in better patient outcomes. Artificial intelligence (AI) driven virtual crossmatching and predictive algorithms have eliminated the requirement for physical crossmatching in the context of CDC crossmatching, boosting organ allocation and transplant efficiency. This review elaborates on the importance of HLA typing and CDC crossmatching in solid organ transplantation.</p>","PeriodicalId":21174,"journal":{"name":"Reviews on recent clinical trials","volume":" ","pages":"34-52"},"PeriodicalIF":1.4000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of Complement-dependent Cytotoxicity Crossmatch and HLA Typing in Solid Organ Transplant.\",\"authors\":\"Arpit Tiwari, Sayali Mukherjee\",\"doi\":\"10.2174/0115748871266738231218145616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Solid organ transplantation is a life-saving medical operation that has progressed greatly because of developments in diagnostic tools and histocompatibility tests. Crossmatching for complement-dependent cytotoxicity (CDC) and human leukocyte antigen (HLA) typing are two important methods for checking graft compatibility and reducing the risk of graft rejection. HLA typing and CDC crossmatching are critical in kidney, heart, lung, liver, pancreas, intestine, and multi-organ transplantation.</p><p><strong>Methods: </strong>A systematic literature search was conducted on the internet, using PubMed, Scopus, and Google Scholar databases, to identify peer-reviewed publications about solid organ transplants, HLA typing, and CDC crossmatching.</p><p><strong>Conclusion: </strong>Recent advances in HLA typing have allowed for high-resolution evaluation, epitope matching, and personalized therapy methods. Genomic profiling, next-generation sequencing, and artificial intelligence have improved HLA typing precision, resulting in better patient outcomes. Artificial intelligence (AI) driven virtual crossmatching and predictive algorithms have eliminated the requirement for physical crossmatching in the context of CDC crossmatching, boosting organ allocation and transplant efficiency. This review elaborates on the importance of HLA typing and CDC crossmatching in solid organ transplantation.</p>\",\"PeriodicalId\":21174,\"journal\":{\"name\":\"Reviews on recent clinical trials\",\"volume\":\" \",\"pages\":\"34-52\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reviews on recent clinical trials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0115748871266738231218145616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reviews on recent clinical trials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115748871266738231218145616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

摘要

背景:实体器官移植是一项挽救生命的医疗手术,由于诊断工具和组织相容性测试的发展,这项手术取得了长足的进步。补体依赖性细胞毒性(CDC)交叉配型和人类白细胞抗原(HLA)分型是检查移植物相容性和降低移植物排斥风险的两种重要方法。HLA 分型和 CDC 交叉配型在肾、心、肺、肝、胰、肠和多器官移植中至关重要:利用 PubMed、Scopus 和 Google Scholar 数据库在互联网上进行了系统的文献检索,以确定有关实体器官移植、HLA 分型和 CDC 交叉配型的同行评审出版物:HLA 分型的最新进展使得高分辨率评估、表位匹配和个性化治疗方法成为可能。基因组剖析、下一代测序和人工智能提高了 HLA 分型的精确度,从而改善了患者的治疗效果。人工智能(AI)驱动的虚拟交叉配型和预测算法消除了疾控中心交叉配型中对物理交叉配型的要求,提高了器官分配和移植效率。本综述阐述了 HLA 分型和 CDC 交叉配对在实体器官移植中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Role of Complement-dependent Cytotoxicity Crossmatch and HLA Typing in Solid Organ Transplant.

Background: Solid organ transplantation is a life-saving medical operation that has progressed greatly because of developments in diagnostic tools and histocompatibility tests. Crossmatching for complement-dependent cytotoxicity (CDC) and human leukocyte antigen (HLA) typing are two important methods for checking graft compatibility and reducing the risk of graft rejection. HLA typing and CDC crossmatching are critical in kidney, heart, lung, liver, pancreas, intestine, and multi-organ transplantation.

Methods: A systematic literature search was conducted on the internet, using PubMed, Scopus, and Google Scholar databases, to identify peer-reviewed publications about solid organ transplants, HLA typing, and CDC crossmatching.

Conclusion: Recent advances in HLA typing have allowed for high-resolution evaluation, epitope matching, and personalized therapy methods. Genomic profiling, next-generation sequencing, and artificial intelligence have improved HLA typing precision, resulting in better patient outcomes. Artificial intelligence (AI) driven virtual crossmatching and predictive algorithms have eliminated the requirement for physical crossmatching in the context of CDC crossmatching, boosting organ allocation and transplant efficiency. This review elaborates on the importance of HLA typing and CDC crossmatching in solid organ transplantation.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Reviews on recent clinical trials
Reviews on recent clinical trials PHARMACOLOGY & PHARMACY-
CiteScore
3.10
自引率
5.30%
发文量
44
期刊介绍: Reviews on Recent Clinical Trials publishes frontier reviews on recent clinical trials of major importance. The journal"s aim is to publish the highest quality review articles in the field. Topics covered include: important Phase I – IV clinical trial studies, clinical investigations at all stages of development and therapeutics. The journal is essential reading for all researchers and clinicians involved in drug therapy and clinical trials.
期刊最新文献
Unraveling the Mysteries of Alzheimer's Disease Using Artificial Intelligence. Non-alcoholic Wernicke Encephalopathy in a Young Patient with Adenocarcinoma of the Colon: A Case Report and Review of the Literature. The Efficacy of Two Triple Therapy Regimens and One Quadruple Regimen [Omeprazole, Amoxicillin, Metronidazole with Bismuth] in Eradicating Helicobacter Pylori in Patients with Peptic Ulcer: A Randomized Clinical Trial. Ongoing Clinical Trials for Polycystic Ovarian Syndrome (PCOS) Afflicted Infertility in Women: A Narrative Review. Etiology, Recent Advances, and Clinical Trials Data for the Treatment of Angioedema: A Review.
×
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