Witney Adam A, Gould Katherine A, Arnold Amber, Coleman David, Delgado Rachel, Dhillon Jasvir, Pond Marcus J, Pope Cassie F, Planche Tim D, Stoker Neil G, Cosgrove Catherine A, Butcher Philip D, Harrison Thomas S, Hinds Jason
Institute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Clinical Infection Unit, St. George's Healthcare NHS Trust, London, United Kingdom.
J Clin Microbiol. 2015 May;53(5):1473-83. doi: 10.1128/JCM.02993-14. Epub 2015 Feb 11.
The treatment of drug-resistant tuberculosis cases is challenging, as drug options are limited, and the existing diagnostics are inadequate. Whole-genome sequencing (WGS) has been used in a clinical setting to investigate six cases of suspected extensively drug-resistant Mycobacterium tuberculosis (XDR-TB) encountered at a London teaching hospital between 2008 and 2014. Sixteen isolates from six suspected XDR-TB cases were sequenced; five cases were analyzed in a clinically relevant time frame, with one case sequenced retrospectively. WGS identified mutations in the M. tuberculosis genes associated with antibiotic resistance that are likely to be responsible for the phenotypic resistance. Thus, an evidence base was developed to inform the clinical decisions made around antibiotic treatment over prolonged periods. All strains in this study belonged to the East Asian (Beijing) lineage, and the strain relatedness was consistent with the expectations from the case histories, confirming one contact transmission event. We demonstrate that WGS data can be produced in a clinically relevant time scale some weeks before drug sensitivity testing (DST) data are available, and they actively help clinical decision-making through the assessment of whether an isolate (i) has a particular resistance mutation where there are absent or contradictory DST results, (ii) has no further resistance markers and therefore is unlikely to be XDR, or (iii) is identical to an isolate of known resistance (i.e., a likely transmission event). A small number of discrepancies between the genotypic predictions and phenotypic DST results are discussed in the wider context of the interpretation and reporting of WGS results.
耐多药结核病病例的治疗具有挑战性,因为药物选择有限,且现有的诊断方法也不完善。全基因组测序(WGS)已应用于临床,用于调查2008年至2014年间在伦敦一家教学医院遇到的6例疑似广泛耐药结核分枝杆菌(XDR-TB)病例。对6例疑似XDR-TB病例的16株分离菌进行了测序;5例在临床相关时间框架内进行了分析,1例进行了回顾性测序。WGS鉴定出结核分枝杆菌中与抗生素耐药性相关的基因突变,这些突变可能是表型耐药的原因。因此,建立了一个证据库,为长期抗生素治疗的临床决策提供依据。本研究中的所有菌株均属于东亚(北京)谱系,菌株相关性与病史预期一致,证实了一次接触传播事件。我们证明,在药敏试验(DST)数据可用前几周的临床相关时间尺度内即可生成WGS数据,并且这些数据通过评估分离菌是否(i)在DST结果缺失或矛盾时具有特定的耐药突变,(ii)没有进一步的耐药标记,因此不太可能是XDR,或(iii)与已知耐药的分离菌相同(即可能的传播事件),积极帮助临床决策。在WGS结果的解释和报告的更广泛背景下,讨论了基因型预测与表型DST结果之间的少数差异。