Suppr超能文献

HLA 分型的变化格局:了解如何以及何时可以从实验室到临床床旁有信心地使用 HLA 分型数据。

The changing landscape of HLA typing: Understanding how and when HLA typing data can be used with confidence from bench to bedside.

机构信息

Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, USA; Department of Pathology, University of Southern California, USA.

出版信息

Hum Immunol. 2021 Jul;82(7):466-477. doi: 10.1016/j.humimm.2021.04.011. Epub 2021 May 21.

Abstract

Human leukocyte antigen (HLA) genes are extraordinary for their extreme diversity and widespread impact on human health and disease. More than 30,000 HLA alleles have been officially named and more alleles continue to be discovered at a rapid pace. HLA typing systems which have been developed to detect HLA diversity have advanced rapidly and are revolutionizing our understanding of HLA's clinical importance. However, continuous improvements in knowledge and technology have created challenges for clinicians and scientists. This review explains how differences in HLA typing systems can impact the HLA types that are assigned. The consequences of differences in laboratory testing methods and reference databases are described. The challenges of using HLA types that are not equivalent are illustrated. A fundamental understanding of the continual expansion of our understanding of HLA diversity and limitations in some of the typing data is essential for using typing data appropriately in clinical and research settings.

摘要

人类白细胞抗原 (HLA) 基因因其极高的多样性和广泛影响人类健康和疾病而显得与众不同。已经正式命名了 30000 多个 HLA 等位基因,并且还在以快速的速度不断发现新的等位基因。为检测 HLA 多样性而开发的 HLA 分型系统已经迅速发展,正在彻底改变我们对 HLA 临床重要性的理解。然而,知识和技术的不断进步为临床医生和科学家带来了挑战。本综述解释了 HLA 分型系统的差异如何影响分配的 HLA 类型。描述了实验室检测方法和参考数据库差异的后果。说明了使用不等效 HLA 类型的挑战。为了在临床和研究环境中正确使用分型数据,必须对 HLA 多样性的不断扩展以及某些分型数据的局限性有一个基本的了解。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验