Pacchiarini Nicole, Simkin Felicity, Postans Mark, Ahern George, Song Jiao, Brown Clare, Smith Josie, Williams Catie, Backx Matthijs, Thomas Daniel, Connor Thomas R, Williams Christopher
Communicable Disease Surveillance Centre (CDSC), Public Health Wales, Cardiff, Wales, UK.
Pathogen Genomics Unit, Public Health Wales, Cardiff, Wales, UK.
Sci Rep. 2025 Aug 24;15(1):31106. doi: 10.1038/s41598-025-15076-8.
Identification of factors contributing to tuberculosis (TB) transmission can guide targeted measures to reduce morbidity. Varying findings for factors associated with TB genomic clustering exist. We describe Mycobacterium tuberculosis strain diversity, drug-resistance, and ongoing transmission in Wales using single nucleotide polymorphisms (SNP)-based typing to infer lineage and clusters. TB cohort data on isolates from Welsh residents from 2012 to 2022, patient level data from the National TB Surveillance System and SNP-based data, were merged. Descriptive epidemiology and logistic regression modelling were used to identify factors associated with genotypic clustering. 215 cases were included in the cluster analysis (66% male and 46% born outside of the UK); 115/215 belonged to 30 genomic clusters belonging to lineages 2-4. Most clusters corresponded to Lineage 4 and were distributed within South Wales. There were significant differences in the distribution of ethnicity, age group, and deprivation (Welsh Index of Multiple Deprivation, WIMD) in our sample compared to the Welsh population. Resistance to rifampicin and isoniazid and predicted resistance to ethambutol, aminoglycosides, pyrazinamide, and quinolone was low. Factors associated with increased odds of clustering included being UK-born and having pulmonary disease. Due to the identification of the above factors associated with TB genomic clustering, as well as the differences in ethnicity, age group, and WIMD quintile, prevention strategies for TB screening targeted towards these groups may be considered. Future work may evaluate the utility of additional control measures within these populations when the onset case in a genomic cluster has any of these characteristics.
确定导致结核病(TB)传播的因素可以指导采取针对性措施以降低发病率。关于与TB基因组聚类相关因素的研究结果各不相同。我们利用基于单核苷酸多态性(SNP)的分型来推断谱系和聚类,描述了威尔士结核分枝杆菌菌株的多样性、耐药性和持续传播情况。将2012年至2022年威尔士居民分离株的结核病队列数据、国家结核病监测系统的患者层面数据以及基于SNP的数据进行了合并。采用描述性流行病学和逻辑回归模型来确定与基因型聚类相关的因素。聚类分析纳入了215例病例(66%为男性,46%出生于英国境外);215例中的115例属于2-4谱系的30个基因组聚类。大多数聚类对应于谱系4,分布在南威尔士。与威尔士人群相比,我们样本中的种族、年龄组和贫困程度(威尔士多重贫困指数,WIMD)分布存在显著差异。对利福平、异烟肼的耐药性以及对乙胺丁醇、氨基糖苷类、吡嗪酰胺和喹诺酮的预测耐药性较低。与聚类可能性增加相关的因素包括出生于英国和患有肺部疾病。由于确定了上述与TB基因组聚类相关的因素,以及种族、年龄组和WIMD五分位数的差异,可能会考虑针对这些群体的TB筛查预防策略。当基因组聚类中的起始病例具有这些特征中的任何一种时,未来的工作可能会评估在这些人群中采取额外控制措施的效用。