Department of Medicine, Imperial College London, London, UK
Laboratorio de Investigacion y Enfermedades Infecciosas, Cayetano Heredia Pervuvian University, Lima, Peru.
Thorax. 2020 Jul;75(7):584-591. doi: 10.1136/thoraxjnl-2019-213281. Epub 2020 Jun 16.
Understanding how pathogen genetic factors contribute to pathology in TB could enable tailored treatments to the most pathogenic and infectious strains. New strategies are needed to control drug-resistant TB, which requires longer and costlier treatment. We hypothesised that the severity of radiological pathology on the chest radiograph in TB disease was associated with variants arising independently, multiple times (homoplasies) in the genome.
We performed whole genome sequencing (Illumina HiSeq2000 platform) on isolates from 103 patients with drug-resistant TB in Lima between 2010 and 2013. Variables including age, sex, HIV status, previous TB disease and the percentage of lung involvement on the pretreatment chest radiograph were collected from health posts of the national TB programme. Genomic variants were identified using standard pipelines.
Two mutations were significantly associated with more widespread radiological pathology in a multivariable regression model controlling for confounding variables (Rv2828c.141, RR 1.3, 95% CI 1.21 to 1.39, p<0.01; rpoC.1040 95% CI 1.77 to 2.16, RR 1.9, p<0.01). The rpoB.450 mutation was associated with less extensive radiological pathology (RR 0.81, 95% CI 0.69 to 0.94, p=0.03), suggestive of a bacterial fitness cost for this mutation in vivo. Patients with a previous episode of TB disease and those between 10 and 30 years of age also had significantly increased radiological pathology.
This study is the first to compare the genome to radiological pathology on the chest radiograph. We identified two variants significantly positively associated with more widespread radiological pathology and one with reduced pathology. Prospective studies are warranted to determine whether mutations associated with increased pathology also predict the spread of drug-resistant TB.
了解病原体遗传因素如何导致结核病的病理学变化,可以使针对最具致病性和传染性的菌株制定有针对性的治疗方案。需要新的策略来控制耐多药结核病,因为这种疾病需要更长和更昂贵的治疗。我们假设,结核病患者胸部 X 光片上的放射病理学严重程度与独立出现的多个基因组变异(同源性)有关。
我们对 2010 年至 2013 年间利马的 103 例耐多药结核病患者的分离株进行了全基因组测序(Illumina HiSeq2000 平台)。从国家结核病规划的卫生所收集了包括年龄、性别、HIV 状态、既往结核病病史以及治疗前胸部 X 光片上的肺受累百分比等变量。使用标准流程识别基因组变异。
在控制混杂变量的多变量回归模型中,有两个突变与更广泛的放射病理学显著相关(Rv2828c.141,RR 1.3,95%CI 1.21 至 1.39,p<0.01;rpoC.1040 95%CI 1.77 至 2.16,RR 1.9,p<0.01)。rpoB.450 突变与放射病理学不那么广泛相关(RR 0.81,95%CI 0.69 至 0.94,p=0.03),提示该突变在体内存在细菌适应不良的代价。有既往结核病病史和 10 至 30 岁之间的患者的放射病理学也显著增加。
这是第一项将基因组与胸部 X 光片上的放射病理学进行比较的研究。我们发现两个变异与更广泛的放射病理学显著正相关,一个与减少的病理学相关。需要前瞻性研究来确定与增加的病理学相关的突变是否也能预测耐多药结核病的传播。