Suppr超能文献

高通量 STELA 为端粒生物学疾病的诊断提供了一种快速检测方法。

High-throughput STELA provides a rapid test for the diagnosis of telomere biology disorders.

机构信息

Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.

Centre for Genomics and Child Health, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK.

出版信息

Hum Genet. 2021 Jun;140(6):945-955. doi: 10.1007/s00439-021-02257-4. Epub 2021 Mar 11.

Abstract

Telomere biology disorders are complex clinical conditions that arise due to mutations in genes required for telomere maintenance. Telomere length has been utilised as part of the diagnostic work-up of patients with these diseases; here, we have tested the utility of high-throughput STELA (HT-STELA) for this purpose. HT-STELA was applied to a cohort of unaffected individuals (n = 171) and a retrospective cohort of mutation carriers (n = 172). HT-STELA displayed a low measurement error with inter- and intra-assay coefficient of variance of 2.3% and 1.8%, respectively. Whilst telomere length in unaffected individuals declined as a function of age, telomere length in mutation carriers appeared to increase due to a preponderance of shorter telomeres detected in younger individuals (< 20 years of age). These individuals were more severely affected, and age-adjusted telomere length differentials could be used to stratify the cohort for overall survival (Hazard Ratio = 5.6 (1.5-20.5); p < 0.0001). Telomere lengths of asymptomatic mutation carriers were shorter than controls (p < 0.0001), but longer than symptomatic mutation carriers (p < 0.0001) and telomere length heterogeneity was dependent on the diagnosis and mutational status. Our data show that the ability of HT-STELA to detect short telomere lengths, that are not readily detected with other methods, means it can provide powerful diagnostic discrimination and prognostic information. The rapid format, with a low measurement error, demonstrates that HT-STELA is a new high-quality laboratory test for the clinical diagnosis of an underlying telomeropathy.

摘要

端粒生物学障碍是一种复杂的临床病症,是由于维持端粒所需基因的突变而引起的。端粒长度已被用作这些疾病患者诊断工作的一部分;在这里,我们测试了高通量 STELA(HT-STELA)在这方面的实用性。HT-STELA 应用于一组未受影响的个体(n=171)和一组回顾性突变携带者队列(n=172)。HT-STELA 显示出较低的测量误差,其组内和组间变异系数分别为 2.3%和 1.8%。虽然未受影响个体的端粒长度随着年龄的增长而下降,但由于在年轻个体(<20 岁)中检测到更多的短端粒,突变携带者的端粒长度似乎增加了。这些个体受到更严重的影响,并且可以使用年龄调整后的端粒长度差异来对队列进行分层,以进行总体生存分析(风险比=5.6(1.5-20.5);p<0.0001)。无症状突变携带者的端粒长度短于对照组(p<0.0001),但长于有症状的突变携带者(p<0.0001),并且端粒长度异质性取决于诊断和突变状态。我们的数据表明,HT-STELA 能够检测到其他方法不易检测到的短端粒长度,这意味着它可以提供强大的诊断区分和预后信息。其快速的格式和低的测量误差表明,HT-STELA 是一种新的高质量实验室检测方法,可用于临床诊断潜在的端粒病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39af/8099822/d829f2b10dad/439_2021_2257_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验