Transmission Dynamics and Drug Resistance Profile of Mycobacterium tuberculosis complex in Non-elderly Populations During the COVID-19 Pandemic: An Age-stratified Comparative Study in Luoyang

Journal of Microbes and Infections ›› 2025, Vol. 20 ›› Issue (2) : 65-78.

Welcome to visit Journal of Microbes and Infections,
Journal of Microbes and Infections ›› 2025, Vol. 20 ›› Issue (2) : 65-78.

Transmission Dynamics and Drug Resistance Profile of Mycobacterium tuberculosis complex in Non-elderly Populations During the COVID-19 Pandemic: An Age-stratified Comparative Study in Luoyang

Author information +
History +

Abstract

Abstract:This study aimed to investigate the dissemination and molecular drug resistance characteristics of Mycobacterium tuberculosis complex (MTBC) among non-elderly populations (<60 years old) attending tuberculosis-designated medical institutions in Luoyang during the COVID-19 pandemic from an age-stratified perspective. Sputum specimens from 16,631 patients (9,990 in the non-elderly group) at Luoyang Infectious Disease Hospital from 2020 to 2022 were analyzed using real-time fluorescence PCR to detect the MTBC-specific insertion sequence IS6110. Melting curve technology was applied to positive specimens to assess molecular drug resistance to isoniazid (INH), rifampin (RFP), streptomycin (SM), and ethambutol (EMB). Age-stratified comparisons were conducted to further reveal the MTBC dissemination and drug resistance patterns in non-elderly populations. During 2020-2022, sputum specimens from 16,631 patients (9,990 in the non-elderly group) were subjected to real-time fluorescence PCR for detecting the MTBC-specific insertion sequence IS6110. For positive specimens, melting curve technology was used to analyze the molecular drug resistance to isoniazid (INH), rifampin (RFP), streptomycin (SM), and ethambutol (EMB). Age-stratified comparisons of the experimental results were performed to further reveal the MTBC dissemination and drug resistance characteristics in non-elderly populations. The results revealed that both MTBC detection rates (15.9% vs. 13.8%) and the overall drug resistance rate (27.1% vs. 20.9%) were significantly higher in non-elderly individuals compared to the elderly group (all P < 0.001). Subgroup analysis indicated that among non-elderly populations males, retreatment patients, and the main urban population were high-burden subgroups with MTBC and drug resistance. The epidemic patterns of multidrug-resistant tuberculosis (MDR-TB) and poly-resistant tuberculosis (PDR-TB) were predominantly characterized by MDR3 (resistance to INH + RFP + SM) and PDR2 (resistance to INH + SM), with detection rates of 4.8% (77 cases) and 2.3% (37 cases) respectively. The study showed that non-elderly populations (<60 years old) are key drivers of tuberculosis transmission and drug resistance development in this region, with males, retreatment patients, and urban residents facing particularly prominent risks. It is recommended to implement targeted tuberculosis burden monitoring for this group, optimize life-cycle prevention and control strategies based on age-stratified characteristics, and provide a scientific basis for precision tuberculosis control in the post-COVID-19 era.

Key words

Key words: Mycobacterium tuberculosis complex / non-elderly / infection / age stratification / molecular resistance

Cite this article

Download Citations
Transmission Dynamics and Drug Resistance Profile of Mycobacterium tuberculosis complex in Non-elderly Populations During the COVID-19 Pandemic: An Age-stratified Comparative Study in Luoyang[J]. Journal of Microbes and Infections. 2025, 20(2): 65-78

References

[1] WHO: Global tuberculosis report.2023 (978-92-4-008385-1). https://iris.who.int/handle/10665/373828
[2]Mcquaid CF, Mccreesh N, Read JM, Sumner T, Group CCW, Houben RMGJ, White RG, Harris RC.The potential impact of COVID-19-related disruption on tuberculosis burden[J].European Respiratory Journal, 2020, 56(2):2001718-
[3]Ding W, Li Y, Bai Y, Li Y, Wang L, Wang Y.Estimating the Effects of the COVID-19 Outbreak on the Reductions in Tuberculosis Cases and the Epidemiological Trends in China. A Causal Impact Analysis[J].Dove Press, 2021, 14:4641-4655
[4]Thong PM, Chong HT, Chang AJW, Ong CWM.COVID-19, the escalation of diabetes mellitus and the repercussions on tuberculosis[J].International Journal of Infectious Diseases, 2023, 130:S30-S33
[5]Wang W, Chen X, Chen S, Zhang M, Wang W, Hao X, Liu K, Zhang Y, Wu Q, Zhu P; Chen B.The burden and predictors of latent tuberculosis infection among elder adults in high epidemic rural area of tuberculosis in Zhejiang, China[J].Front Cell Infect Microbiol, 2022, 12:990197-
[6]全国人民代表大会常务委员会: 中华人民共和国老年人权益保障法.全国人民代表大会常务委员会; 2018. https://www.gov.cn/guoqing/2021-10/29/content_5647622.htm
[7]卫生部疾病预防控制局: 中国结核病防治规划实施工作指南 2008年版: 中国结核病防治规划实施工作指南 2008年版; 2009.https://tb.chinacdc.cn/zcfg/sszn/201207/t20120711_64166.htm
[8]可感染人类的高致病性病原微生物菌(毒)种或样本运输管理规定: 南京:东南大学出版社; [2008-11-26].https://www.gov.cn/gongbao/content/2006/content_453197.htm
[9]Organization WH: Global tuberculosis report 2021; 2021.https://www.who.int/publications/i/item/9789240037021
[10]Wang Z, Hou Y, Guo T, Jiang T, Xu L, Hu H, Zhao Z, Xue Y.Epidemiological characteristics and risk factors of multidrug-resistant tuberculosis in Luoyang, China[J].Frontiers in Public Health, 2023, 11:1117101-
[11]Li T, Li J, Du X, Sun Q, Wang L, Zhao Y, Huang F, Wang N, Yang K, Chen W.Age-Specific Pulmonary Tuberculosis Notification Rates—China,2008–2018[J].中国疾病预防控制中心周报英文, 2022, 4(38):841-846
[12]L?Nnroth K, Jaramillo E, Williams BG, Dye C, Raviglione M.Drivers of tuberculosis epidemics: the role of risk factors and social determinants[J].Social Science & Medicine, 2009, 68(12):2240-2246
[13]Akalu TY, Clements ACA, Wolde HF, Alene KA.Economic burden of multidrug-resistant tuberculosis on patients and households: a global systematic review and meta-analysis[J].Scientific Reports, 2023, 13(1):22361-
[14]缪梓萍, 郑锦雷, 柳正卫, 何海波, 何铁牛, 刘北斗.复治肺结核耐药性与用药史关系研究[J].中国防痨杂志, 2008, 30(4):304-307
[15]滕人聪, 李涛, 李玉红, 杨晨露, 张灿有, 赵雁林, 张慧.年全国岁及以上老年肺结核患者登记情况分析[J].中国防痨杂志, 2023, 45(4):367-371
[16]宋媛媛,李涛,夏辉,张丽杰,赵雁林,王黎霞.年全国肺结核报告发病流行病学特征[J].中国防痨杂志, 2024, 46(10):1198-1208
[17]Dong Z, Wang Q, Yu S, Huang F, Liu J, Yao H, Zhao Y.Age-period-cohort analysis of pulmonary tuberculosis reported incidence,China,2006-2020[J].Infectious diseases of poverty, 2022, 11(1):85-
[18]刘荣梅, 王玉清, 高孟秋, 王玲, 马丽萍.青海省耐多药肺结核病危险因素的病例对照研究[J].临床肺科杂志, 2015, 20(4):592-595
[19]徐东芳, 王庆, 李孳, 李东方.安徽省株结核分枝杆菌对一线和二线抗结核药物药敏结果分析[J].中国人兽共患病学报, 2014, 30(1):54-57
[20]Chuang PH, Wu MH, Fan SY, Lin KY, Jou R.Population-Based Drug Resistance Surveillance of Multidrug-Resistant Tuberculosis in Taiwan, 2007-2014[J].PLoS One, 2016, 11(11):e0165222.-
[21]赵慧, 王志锐, 巨韩芳, 孙蕊, 王春花.年天津市肺结核耐药流行病学特征及影响因素分析[J].疾病监测, 2023, 38(1):57-63
[22]叶智腾, 任斐, 王华, 杨铭, 陈禹, 陈晓红, 王芸, 范琳.老年耐多药利福平耐药肺结核患者的治疗转归及影响因素研究——全国多中心, 回顾性队列研究[J].中国防痨杂志, 2024, 46(09):1023-1029
[23]王黎霞, 成诗明, 陈明亭, 赵雁林, 张慧, 姜世闻, 何广学, 吕青, 杜昕, 陈伟.年全国第五次结核病流行病学抽样调查报告[J].中国防痨杂志, 2012, 34(8):485-508
[24]孙晓玲.结核科医护人员的职业暴露与安全防护措施[J].中国保健营养, 2017, 26(25):119-120
[25]王雪松.老年肺结核病临床特点分析[J].泰山医学院学报, 2004, 3(2004):224-225
[26]曹仕鹏, 李春香, 邱淑梗, 李爱美, 邓凌燕.老年慢性阻塞性肺疾病合并肺结核的临床特点及诊治体会[J].广西医学, 2017, 5(39):585-589
[27]王彪, 刘宇红, 孙玙贤, 张立杰, 李志丽, 舒薇.我国结核病定点医疗机构实验室检测能力调查分析[J].中国防痨杂志, 2024, 46(09):1089-1097
[28]Huang H, Ding N, Yang T, CuidanJia, XinmiaoWang, GuirongZhong, JunZhang, JuJiang, GuangluWang, ShuqiZong, ZhaojingJing, WeiZhao, YongliangXu, ShaofaChen, Fei.Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China[J].Clinical infectious diseases, 2019, 69(3):405-413

Accesses

Citation

Detail

Sections
Recommended

/