1.Analysis on Resistance Status of 279 Strains of Mycobacterium tuberculosis
Lianyong CHEN ; Li MA ; Haohao RU ; Jinyu WANG ; Lin XU
Journal of Kunming Medical University 2014;(1):47-50
Objective The purpose of the study was to understand the resistance status of to anti-tuberculosis drug in Yunnan province, and to provide evidence for tuberculosis (TB) control. Methods The proportional method was used in drug sensitivity test according to the guidelines recommending by WHO. Results Of 301 mycobacterial isolates, 279 (92.7%) strains were complex (MTBC) . The total drug resistance rate was 31.5% (88/279),the initial drug resistance rate of was 27.3%, and the acquired drug resistance rate was 44.3%. The drug resistance rates to INH,RFP,EMB and SM were 19.7%, 10.8%, 12.9%and 19.0%, respectively. The multi-drug resistance (MDR) rate was 9.3%. Conclusion The drug resistant rate of is still high in Yunnan province,and TB control is still a long way to go. Early detection and regular treatment should be done for MDR patients. Drug resistance monitoring as an important part of TB control programs should be regular observation and research.
2. A study on genotype of 271 mycobacterium tuberculosis isolates in 6 prefectures in Yunnan Province
Lianyong CHEN ; Xing YANG ; Haohao RU ; Huijuan YANG ; Shuangqun YAN ; Li MA ; Jin'ou CHEN ; Rui YANG ; Lin XU
Chinese Journal of Preventive Medicine 2018;52(1):62-67
Objective:
To understand the characteristics of genotypes of Mycobacterium tuberculosis isolates in Yunnan province, and provide the molecular epidemiological evidence for prevention and control of tuberculosis in Yunnan Province.
Methods:
Mycobacterium Tuberculosis isolates were collected from 6 prefectures of Yunnan province in 2014 and their Genetypes of Mycobacterium tuberculosis isolates were obtained using spoligotyping and multiple locus variable numbers of tandem repeats analysis (MLVA). The results of spoligotyping were entered into the SITVITWEB database to obtain the Spoligotyping International Type (SIT) patterns and the sublineages of MTB isolates. The genoyping patterns were clustered with BioNumerics (version 5.0).
Results:
A total of 271 MTB isolates represented patients were collected from six prefectures in Yunnan province. Out of these patients, 196 (72.3%) were male. The mean age of the patients was (41.9±15.1) years. The most MTB isolates were from Puer, totally 94 iusolates(34.69%). Spoligotyping analysis revealed that 151 (55.72%) MTB isolates belonged to the Beijing genotype, while the other 120 (44.28%) were from non-Beijing genotype; 40 genotypes were consisted of 24 unique genotypes and 16 clusters. The 271 isolates were differentiated into 30 clusters (2 to 17 isolates per cluster) and 177 unique genotypes, showing a clustering rate of 23.62%. Beijing genotype strains showed higher clustering rate than non-Beijing genotype strains (29.14% vs 16.67%). The HGI of 12-locus VNTR in total MTB strains, Beijing genotype strains and non-Beijing genotype was 0.993, 0.982 and 0.995 respectively.
Conclusion
The Beijing genotype was the predominant genotype in Yunnan Province, the characteristics of Mycobacterium tuberculosis showed high genetic diversity. The genotyping data reflect the potential recent ongoing transmission in some area, which highlights the urgent need for early diagnosis and treatment of the infectious TB cases, to cut off the transmission and avoid a large TB outbreak.