Suppr超能文献

遗传变异及其与贝达喹啉对表型耐药性的关联:系统评价和个体分离株数据分析。

Genetic variants and their association with phenotypic resistance to bedaquiline in : a systematic review and individual isolate data analysis.

机构信息

South African Medical Research Council Centre for Tuberculosis Research and Department of Science and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa (N Ismail PhD, Prof R M Warren PhD); Family Medicine and Population Health, Faculty of Medicine, University of Antwerp, Antwerp, Belgium (E Rivière MSc, Prof A Van Rie PhD); Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA (J Limberis PhD); Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Centre, University of California, San Francisco, San Francisco, CA, USA (S Huo MSc, Prof J Z Metcalfe PhD).

出版信息

Lancet Microbe. 2021 Nov;2(11):e604-e616. doi: 10.1016/s2666-5247(21)00175-0. Epub 2021 Aug 31.

Abstract

BACKGROUND

Bedaquiline is a crucial drug for control of rifampicin-resistant tuberculosis. Molecular drug resistance assays could facilitate effective use of bedaquiline and surveillance of drug resistance emergence. To facilitate molecular assay development, we aimed to identify genomic markers of bedaquiline resistance.

METHODS

In this systematic review and individual isolate analysis, we searched Europe PubMed Central and Scopus for studies published from the inception of each database until Oct 19, 2020, that assessed genotypic and phenotypic bedaquiline resistance in clinical or non-clinical isolates. All studies reporting on the assessment of variants in the four genes of interest (, , , and ) and phenotypic bedaquiline data in both clinical and non-clinical samples were included. We collated individual isolate data from eligible studies to assess the association between genomic variants with phenotypic bedaquiline resistance, using a standardised method endorsed by WHO. Risk of bias of the extracted data was independently assessed by two authors using the Quality Assessment of Diagnostic Accuracy Studies tool for clinical studies and Systematic Review Center for Laboratory Animal Experimentation tool for animal studies. The primary outcome was to identify mutations associated with resistance in four genes of interest (, , , and ); for each genomic variant, the odds ratio (OR), 95% CI, and p value were calculated to identify resistance markers associated with bedaquiline resistance. This study is registered with PROSPERO, CRD42020221498.

FINDINGS

Of 1367 studies identified, 41 published between 2007 and 2020 were eligible for inclusion. We extracted data on 1708 isolates: 1569 (91·9%) clinical isolates and 139 (8·1%) non-clinical isolates. We identified 237 unique variants in , 14 in , 28 in and 11 in . Most clinical isolates with a single variant reported in (229 [79%] of 287 variants), (14 [88%] of 16 variants), (32 [100%] of 32 variants), or (115 [98%] of 119 variants) were phenotypically susceptible to bedaquiline. Except for the 187G→C (OR ∞, [95% CI 13·28-∞]; p<0·0001) and 138_139insG (OR 6·91 [95% CI 1·16-47·38]; p=0·016) variants, phenotypic-genotypic associations were not significant (p≥0·05) for any single variant in , , and .

INTERPRETATION

Absence of clear genotypic-phenotypic associations for bedaquiline complicates the development of molecular drug susceptibility tests. A concerted global effort is urgently needed to assess the genotypic and phenotypic drug susceptibility of isolates, especially in patients who have received unsuccessful bedaquiline-containing regimens. Treatment regimens should be designed to prevent emergence of bedaquiline resistance and phenotypic drug susceptibility tests should be used to guide and monitor treatment.

FUNDING

Research Foundation Flanders, South African Medical Research Council, Department of Science and Innovation - National Research Foundation, National Institute of Health Institute of Allergy and Infectious Diseases, and Doris Duke Charitable Foundation.

摘要

背景

贝达喹啉是控制利福平耐药结核病的关键药物。分子药物耐药性检测可以促进贝达喹啉的有效使用和耐药性的监测。为了促进分子检测方法的开发,我们旨在确定贝达喹啉耐药的基因组标志物。

方法

在这项系统评价和个体分离物分析中,我们从欧洲 PubMed Central 和 Scopus 数据库中检索了截至 2020 年 10 月 19 日发表的研究,这些研究评估了临床或非临床分离物中基因型和表型贝达喹啉耐药性。所有报告评估四个感兴趣基因( 、 、 和 )中的变体和临床及非临床样本中表型贝达喹啉数据的研究都包括在内。我们从合格的研究中整理了个体分离物数据,以使用世界卫生组织认可的标准化方法评估基因组变异与表型贝达喹啉耐药性之间的关联。两名作者独立使用临床研究的诊断准确性研究质量评估工具和动物研究的系统评价中心实验室动物实验工具评估提取数据的偏倚风险。主要结局是确定与四个感兴趣基因( 、 、 和 )中耐药相关的突变;对于每个基因组变异,计算比值比(OR)、95%置信区间和 p 值,以确定与贝达喹啉耐药相关的耐药标志物。本研究已在 PROSPERO 注册,注册号为 CRD42020221498。

发现

在 1367 项研究中,有 41 项发表于 2007 年至 2020 年期间,符合纳入标准。我们提取了 1708 个分离物的数据:1569 个(91.9%)临床分离物和 139 个(8.1%)非临床分离物。我们在 中发现了 237 个独特的变异,在 中发现了 14 个,在 中发现了 28 个,在 中发现了 11 个。大多数只有一个变异的临床分离物报告在 (229 [79%]的 287 个变异)、 (14 [88%]的 16 个变异)、 (32 [100%]的 32 个变异)或 (115 [98%]的 119 个变异)中对贝达喹啉表型敏感。除了 187G→C(OR ∞,[95%CI 13.28-∞];p<0.0001)和 138_139insG(OR 6.91 [95%CI 1.16-47.38];p=0.016)变异外,任何单一变异与表型-基因型的关联均不显著(p≥0.05)在 、 、 和 中。

解释

贝达喹啉的基因型-表型关联不明确,这使得分子药物敏感性检测的开发变得复杂。迫切需要开展一项协调一致的全球努力,评估 分离物的基因型和表型药物敏感性,特别是在接受过不成功的贝达喹啉含药方案治疗的患者中。应设计治疗方案以预防贝达喹啉耐药的出现,并应使用表型药物敏感性检测来指导和监测治疗。

资助

佛兰德研究基金会、南非医学研究理事会、南非科学与创新部-国家研究基金会、美国国立卫生研究院过敏与传染病研究所和多丽丝·杜克慈善基金会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6757/8597953/fe1e7bb8e1dd/nihms-1753644-f0001.jpg

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