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纵向表型和基因组证据揭示中国中部各县结核病患者耐药性积累风险增加。

Longitudinal phenotypic and genomic evidence revealing increased risk of drug resistance accumulation in tuberculosis patients in the counties of central China.

作者信息

Wang Fu-Lin, Chen Rong, Xu Qiao, Wang Xiao-Qin, Tao Feng-Xi, Huang Zi-Kang, Zhang You-Tong, Chen Shu-Qiong, Wu Xue-Jing, Cao Hong-Yuan, Jiang Qi

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei, China.

Department of Vaccine, Wuchang District Center for Disease Control and Prevention, Wuhan, Hubei, China.

出版信息

Microbiol Spectr. 2025 Aug 5;13(8):e0038025. doi: 10.1128/spectrum.00380-25. Epub 2025 Jun 23.

Abstract

Drug-resistant tuberculosis (DR-TB) disproportionately affects rural China, yet the molecular and epidemiological drivers of this disparity remain inadequately explored. This study investigates resistance evolution and transmission dynamics in Xianning, China, using longitudinal data from 3,865 culture-positive pulmonary tuberculosis patients (2016-2023). Phenotypic drug susceptibility testing for 14 commonly used anti-tuberculosis drugs showed a stable multidrug-resistant tuberculosis (MDR-TB) rate of 6.6%, while mono-resistance increased from 8.5% to 12.9% over the study period. Notably, 19.3% (53/275) of patients with ≥2 months of culture positivity developed new phenotypic resistance during treatment. Whole-genome sequencing of strains from the last two years identified resistance accumulation through two additional mechanisms: (i) acquisition of resistance via unfixed mutations in individuals and (ii) transmitted strains harboring novel resistance-conferring mutations absent in parental clones within genomic clusters. For the combined cases of resistance accumulation, multivariable logistic regression revealed that baseline drug resistance increased the risk more than threefold (aOR = 3.65-5.28, varying by resistance type), while rural residence independently doubled the risk (aOR = 2.60, 95% confidence interval:1.11-6.49). Furthermore, three of five genomic clusters with resistance accumulation exhibited urban-rural transmission, highlighting risks linked to cross-district care-seeking. These findings underscore how systemic healthcare barriers in rural China drive DR-TB through both treatment failures and strain transmission. Urgent action is needed to decentralize rapid resistance screening and implement tiered care models in primary clinics to curb transmission and mitigate the expanding DR-TB threat.IMPORTANCEThe ongoing epidemic of drug-resistant tuberculosis (DR-TB) in resource-poor settings poses a major public health challenge. This study sheds light on the evolution of DR-TB and its community transmission dynamics in central rural China, suggesting that unequal healthcare may exacerbate resistance accumulation risks by driving acquired resistance through inadequate treatment as well as facilitating strain transmission with escalating drug resistance. These findings emphasize the critical need for decentralized, rapid drug-resistance screening, and enhanced diagnosis and treatment strategies in primary care settings, prioritizing vulnerable populations to curb this growing threat.

摘要

耐多药结核病(DR-TB)在中国农村地区的影响尤为严重,但这种差异的分子和流行病学驱动因素仍未得到充分研究。本研究利用3865例痰培养阳性肺结核患者(2016 - 2023年)的纵向数据,对中国咸宁的耐药演变和传播动态进行了调查。对14种常用抗结核药物进行的表型药敏试验显示,耐多药结核病(MDR-TB)的稳定率为6.6%,而单耐药率在研究期间从8.5%增加到12.9%。值得注意的是,在培养阳性≥2个月的患者中,有19.3%((53/275))在治疗期间出现了新的表型耐药。对过去两年菌株的全基因组测序确定了另外两种耐药积累机制:(i)个体中通过未固定突变获得耐药性;(ii)传播菌株携带基因组簇中亲本克隆所没有的新的耐药性赋予突变。对于耐药积累的综合病例,多变量逻辑回归显示,基线耐药使风险增加了三倍多(调整后比值比(aOR = 3.65 - 5.28),因耐药类型而异),而农村居民身份使风险独立增加了一倍((aOR = 2.60),95%置信区间:(1.11 - 6.49))。此外,五个有耐药积累的基因组簇中有三个表现出城乡传播,突出了与跨地区就医相关的风险。这些发现强调了中国农村地区系统性医疗保健障碍如何通过治疗失败和菌株传播导致耐多药结核病。迫切需要采取行动,在基层诊所分散快速耐药筛查并实施分级护理模式,以遏制传播并减轻不断扩大的耐多药结核病威胁。

重要性

资源匮乏地区持续的耐多药结核病(DR-TB)流行构成了重大的公共卫生挑战。本研究揭示了中国中部农村地区耐多药结核病的演变及其社区传播动态,表明不平等的医疗保健可能通过不充分的治疗导致获得性耐药以及随着耐药性上升促进菌株传播,从而加剧耐药积累风险。这些发现强调了在基层医疗环境中进行分散、快速耐药筛查以及加强诊断和治疗策略的迫切需求,优先考虑弱势群体以遏制这一日益严重的威胁。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5930/12323381/fce66ee89d11/spectrum.00380-25.f001.jpg

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