{"title":"四川盆地结核分枝杆菌Xpert MTB/RIF检测结果与探针靶区rpoB突变的相关性","authors":"Kun Li, Long Li","doi":"10.2147/IDR.S541544","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study characterized mutation patterns within the rifampicin resistance-determining region (RRDR) of the <i>rpoB</i>gene (codons 507-533), targeted by Xpert MTB/RIF probes, in <i>Mycobacterium tuberculosis</i> isolates from Southwest China. Regional molecular profiles were and compared regional profiles against global datasets to elucidate implications for rifampicin resistance surveillance.</p><p><strong>Methods: </strong>We conducted a retrospective study of 197 rifampicin-resistant tuberculosis cases involving 197 cases of rifampicin-resistant tuberculosis (comprising 194 pulmonary and 3 extrapulmonary cases) confirmed through the GeneXpert MTB/RIF assay at Suining Central Hospital during 2023-2024. Mutation characteristics across five RRDR probes (labeled A-E) were assessed, along with the semi-quantitative classification of bacterial loads.</p><p><strong>Results: </strong>Single-probe mutations predominated (82.7%; 163/197), with hotspots at Probe E (S531L, 55.8%) and Probe A (Q510H/V511D, 12.2%). Dual-probe mutations (16.8%, 33/197) were primarily A+B combinations (13.7%, 27/197), showing significantly elevated prevalence in patients aged 46-60 years (OR = 2.31, 95% CI: 1.12-4.79, P< 0.05). Bacterial load stratification revealed strong diagnostic accuracy associations: smear positivity rates were 79.4% (high load) and 44.4% (medium), while culture positivity rates were 67.6% and 57.8%, respectively.</p><p><strong>Conclusion: </strong>A unique double-peak mutation pattern (primarily involving probes E and A) was identified in Sichuan Province, which contrasts sharply with the single hotspot pattern observed in Europe and the epidemiological pattern in Beijing, China, where probe E predominates. The elevated Probe A mutation rate (12.2%) potentially reflects regional rifabutin usage in second-line regimens. These findings provide molecular epidemiological insights for optimizing diagnosis and drug resistance monitoring in southwestern China.</p>","PeriodicalId":13577,"journal":{"name":"Infection and Drug Resistance","volume":"18 ","pages":"5161-5171"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12493105/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correlation Between Xpert MTB/RIF Results and <i>rpoB</i> Mutations within Probe-Targeted Regions in <i>Mycobacterium tuberculosis</i> Isolates from Sichuan Basin.\",\"authors\":\"Kun Li, Long Li\",\"doi\":\"10.2147/IDR.S541544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study characterized mutation patterns within the rifampicin resistance-determining region (RRDR) of the <i>rpoB</i>gene (codons 507-533), targeted by Xpert MTB/RIF probes, in <i>Mycobacterium tuberculosis</i> isolates from Southwest China. Regional molecular profiles were and compared regional profiles against global datasets to elucidate implications for rifampicin resistance surveillance.</p><p><strong>Methods: </strong>We conducted a retrospective study of 197 rifampicin-resistant tuberculosis cases involving 197 cases of rifampicin-resistant tuberculosis (comprising 194 pulmonary and 3 extrapulmonary cases) confirmed through the GeneXpert MTB/RIF assay at Suining Central Hospital during 2023-2024. Mutation characteristics across five RRDR probes (labeled A-E) were assessed, along with the semi-quantitative classification of bacterial loads.</p><p><strong>Results: </strong>Single-probe mutations predominated (82.7%; 163/197), with hotspots at Probe E (S531L, 55.8%) and Probe A (Q510H/V511D, 12.2%). Dual-probe mutations (16.8%, 33/197) were primarily A+B combinations (13.7%, 27/197), showing significantly elevated prevalence in patients aged 46-60 years (OR = 2.31, 95% CI: 1.12-4.79, P< 0.05). Bacterial load stratification revealed strong diagnostic accuracy associations: smear positivity rates were 79.4% (high load) and 44.4% (medium), while culture positivity rates were 67.6% and 57.8%, respectively.</p><p><strong>Conclusion: </strong>A unique double-peak mutation pattern (primarily involving probes E and A) was identified in Sichuan Province, which contrasts sharply with the single hotspot pattern observed in Europe and the epidemiological pattern in Beijing, China, where probe E predominates. The elevated Probe A mutation rate (12.2%) potentially reflects regional rifabutin usage in second-line regimens. These findings provide molecular epidemiological insights for optimizing diagnosis and drug resistance monitoring in southwestern China.</p>\",\"PeriodicalId\":13577,\"journal\":{\"name\":\"Infection and Drug Resistance\",\"volume\":\"18 \",\"pages\":\"5161-5171\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12493105/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection and Drug Resistance\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/IDR.S541544\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection and Drug Resistance","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/IDR.S541544","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Correlation Between Xpert MTB/RIF Results and rpoB Mutations within Probe-Targeted Regions in Mycobacterium tuberculosis Isolates from Sichuan Basin.
Purpose: This study characterized mutation patterns within the rifampicin resistance-determining region (RRDR) of the rpoBgene (codons 507-533), targeted by Xpert MTB/RIF probes, in Mycobacterium tuberculosis isolates from Southwest China. Regional molecular profiles were and compared regional profiles against global datasets to elucidate implications for rifampicin resistance surveillance.
Methods: We conducted a retrospective study of 197 rifampicin-resistant tuberculosis cases involving 197 cases of rifampicin-resistant tuberculosis (comprising 194 pulmonary and 3 extrapulmonary cases) confirmed through the GeneXpert MTB/RIF assay at Suining Central Hospital during 2023-2024. Mutation characteristics across five RRDR probes (labeled A-E) were assessed, along with the semi-quantitative classification of bacterial loads.
Results: Single-probe mutations predominated (82.7%; 163/197), with hotspots at Probe E (S531L, 55.8%) and Probe A (Q510H/V511D, 12.2%). Dual-probe mutations (16.8%, 33/197) were primarily A+B combinations (13.7%, 27/197), showing significantly elevated prevalence in patients aged 46-60 years (OR = 2.31, 95% CI: 1.12-4.79, P< 0.05). Bacterial load stratification revealed strong diagnostic accuracy associations: smear positivity rates were 79.4% (high load) and 44.4% (medium), while culture positivity rates were 67.6% and 57.8%, respectively.
Conclusion: A unique double-peak mutation pattern (primarily involving probes E and A) was identified in Sichuan Province, which contrasts sharply with the single hotspot pattern observed in Europe and the epidemiological pattern in Beijing, China, where probe E predominates. The elevated Probe A mutation rate (12.2%) potentially reflects regional rifabutin usage in second-line regimens. These findings provide molecular epidemiological insights for optimizing diagnosis and drug resistance monitoring in southwestern China.
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ISSN: 1178-6973
Editor-in-Chief: Professor Suresh Antony
An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.