| Literature DB >> 30428837 |
Tao Shi1, Tongxin Li2, Jungang Li2, Jing Wang2, Zehua Zhang3.
Abstract
BACKGROUND: By 2014 although tuberculosis (TB) incidence had fallen by an average of 1.5% per year since 2000 and was 18% lower than the level of in 2000, 1.5 million people died for TB in that year. One of reason was that drug resistant Mycobacterium tuberculosis (DRTB) spread. This study aims to determine drug resistant characteristics and genotype of DRTB that isolated from patients in a tuberculosis referral hospital of southwest China.Entities:
Keywords: Drug resistance; Genetic diversity; Mycobacterium tuberculosis; Transmission
Mesh:
Year: 2018 PMID: 30428837 PMCID: PMC6234635 DOI: 10.1186/s12879-018-3503-0
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Distribution of 503 patients in different regions (n = 503)
| Chongqing ( | Sichuan Province ( | Other regions ( | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Pengshui | 62 | Tongliang | 10 | Dazu | 2 | Dazhou | 44 | Tibet | 1 |
| Shapingba | 33 | Yuzhong | 10 | Fengjie | 2 | Guangan | 23 | Jilin Province | 1 |
| Banan | 29 | Wulong | 9 | Youyang | 2 | Ziyang | 4 | Hubei Province | 1 |
| Yubei | 25 | Dadukou | 9 | Yunyang | 2 | Yibin | 3 | Heilongjiang Province | 1 |
| Fengdu | 21 | Yongchuan | 6 | Wushan | 2 | Guangyuan | 2 | Guizhou Dejiang | 1 |
| Nanan | 20 | Jiangjin | 6 | Tongnan | 2 | Luzhou | 2 | Guizhou Fenggang | 1 |
| Beibei | 20 | Nanchuan | 6 | Rongchang | 1 | Neijiang | 2 | Guizhou Qianxi | 1 |
| Changshou | 19 | Bishan | 5 | Shizhu | 1 | Chengdu | 1 | Guizhou Tongren | 1 |
| Zhong | 16 | Kai | 5 | Wanzhou | 1 | Guizhou Yinjiang | 1 | ||
| Fuling | 15 | Qijiang | 5 | Xiushan | 1 | ||||
| Hechuan | 15 | Liangping | 5 | Qiangjiang | 1 | ||||
| Jiulongpo | 14 | Wansheng | 4 | ||||||
| Dianjiang | 13 | Wuxi | 4 | ||||||
Fig. 1a Distribution of the new cases and retreatment cases in the different anti-TB drugs. b Distribution of femal and male patients in the different anti-TB drugs. ✩ Means P < 0.05
Details of 80 clusters
| Genotype | No. of cluster | No. of strains in each cluster |
|---|---|---|
| Beijing-type | ||
| 1 | 26 | |
| 1 | 11 | |
| 1 | 10 | |
| 1 | 9 | |
| 1 | 8 | |
| 1 | 7 | |
| 4 | 4 | |
| 9 | 3 | |
| 50 | 2 | |
| Non-Beijing-type | ||
| 11 | 2 | |
Fig. 2Dendrogram of 503 DRTB isolates. The phylogenetic tree was generated from the MIRU-VNTR profile
Fig. 3Minimum spanning tree (MST) of 503 DRTB isolates. The MST was generated from the MIRU-VNTR profile
Allelic diversity of 12 different MIRU-VNTR loci among Mycobacterium tuberculosis strains
| Locus | HGDI | |
|---|---|---|
| 1 | QUB-11b | 0.62 |
| 2 | QUB-18 | 0.65 |
| 3 | QUB-26 | 0.66 |
| 4 | QUB-4156 | 0.37 |
| 5 | QUB-1895 | 0.37 |
| 6 | MIRU26 | 0.57 |
| 7 | MIRU31 | 0.47 |
| 8 | MIRU10 | 0.26 |
| 9 | MIRU40 | 0.44 |
| 10 | Mtub21 | 0.62 |
| 11 | Mtub04 | 0.55 |
| 12 | ETR-F | 0.26 |
Clinical characteristics of the Beijing and non-Beijing family strains
| Characteristics | Total | Beijing family | Non-Beijing family | χ2 | |
|---|---|---|---|---|---|
| Age, years | |||||
| ≤30 | 153 | 150 | 3 | 784.00 | < 0.05 |
| 30–60 | 306 | 279 | 27 | ||
| ≥60 | 44 | 41 | 3 | ||
| Gender | |||||
| Male | 314 | 289 | 25 | 2.68 | > 0.05 |
| Female | 189 | 181 | 8 | ||
| Treatment history | |||||
| New cases | 201 | 168 | 33 | 214.40 | < 0.05 |
| Retreatment | 302 | 302 | 0 | ||
| Regions | |||||
| Chongqing | 413 | 402 | 11 | 25.40 | < 0.05 |
| Sichuan Province | 81 | 78 | 3 | ||
| Other regions | 9 | 6 | 3 | ||
Regional Distribution of some patients with Beijing genotype
| No. of strains in one cluster | Region | No. of patients | No. of strains in one cluster | Region | No. of patients |
|---|---|---|---|---|---|
| 26 | Pengshui | 7 | 8 | Fengjie | 2 |
| Beibei | 2 | Yubei | 2 | ||
| Zhong | 2 | others | 4 | ||
| others | 15 | 7 | Guangan | 3 | |
| 11 | Nanan | 2 | others | 4 | |
| Banan | 2 | 4 | Zhong | 3 | |
| others | 7 | others | 1 | ||
| 10 | Pengshui | 2 | 3 | Shapingba | 2 |
| others | 8 | others | 1 | ||
| 9 | Beibei | 3 | 3 | Jiangbei | 2 |
| others | 6 | others | 1 |
“others” mean “the rest patients came from different regions and only one patient in one region”