| Literature DB >> 35288106 |
Yelei Zhu1, Wenya Hua2, Zhengwei Liu1, Mingwu Zhang1, Xiaomeng Wang1, Beibei Wu1, Zhen Wang3, Jiazhen Chen4.
Abstract
OBJECTIVE: Nontuberculous mycobacteria (NTM) species are increasingly being isolated and have become a key factor affecting public health by causing pulmonary diseases. Most NTM species do not respond to conventional tuberculosis (TB) drugs. This study aimed to identify NTM isolated from suspected pulmonary TB patients from the Zhejiang province and analyze their distribution in the region.Entities:
Keywords: Identification; NTM pulmonary diseases; Nontuberculous mycobacteria; Pulmonary tuberculosis
Mesh:
Substances:
Year: 2022 PMID: 35288106 PMCID: PMC9387452 DOI: 10.1016/j.bjid.2022.102346
Source DB: PubMed Journal: Braz J Infect Dis ISSN: 1413-8670 Impact factor: 3.257
Fig. 1Positive, clear and distinguishable red bands appear in both the control (C) zone and the test zone (T). Negative, only one red band appears in the control (C) zone.
Fig. 2Hybridization patterns of representative strains on the probe array (Mycobacterial Species Identification Array Kit (CapitalBio Technology Inc., Beijing, China)). Green fluorescence indicates positive hybridization to the probe. M. intracellulare (A), M. chelonae and M. abscessus (B), M. avium (C), M. kansasii (D), M. gordonae (E), M. fortuitum (F), M. terrae (G), Negative control (H).
Primers used in this study.
| Gene | Direction | Sequence (5′3′) | Conditions |
|---|---|---|---|
| 16S-23S ITS | F | GGG TAC TGA GAT GTT TCA CTT C | 95°C for 5 min |
| R | TCA CCT CCT TTC TAA GGA GCA CC | 35 cycles (94°C for | |
| 16s rRNA | F | AGT TTG ATC CTG GCT CAG | 35 s; 64/56/60°C for 30 s; 72°C for 50 s) |
| R | GGT TAC CTT GTT ACG ACT T | ||
| F | ACC AAC GAT GGT GTG TCC AT | ||
| R | CTT GTC GAA CCG CAT ACC CT | 72°C for 10 min |
F and R represent forward and reverse, respectively.
Fig. 3Diagram of NTM identification. NTM nontuberculous mycobacteria, MTBC Mycobacterium tuberculosis complex.
NTM distribution among pulmonary NTM patients, Zhejiang province, 2009-2019.
| species | count | proportion | methods |
|---|---|---|---|
| 604 | 54.81% | ||
| 182 | 16.52% | ||
| 145 | 13.16% | ||
| 90 | 8.17% | ||
| 36 | 3.27% | ||
| 9 | 0.82% | CapitalBio | |
| 5 | 0.45% | Mycobacterium | |
| 3 | 0.27% | identification | |
| 2 | 0.18% | array | |
| 2 | 0.18% | ||
| 2 | 0.18% | ||
| 1 | 0.09% | ||
| 1 | 0.09% | ||
| 5 | 0.45% | ||
| 4 | 0.36% | ||
| 2 | 0.18% | ||
| 2 | 0.18% | ||
| 2 | 0.18% | Genes | |
| 1 | 0.09% | Sequencing | |
| 1 | 0.09% | ||
| 1 | 0.09% | ||
| 1 | 0.09% | ||
| 1 | 0.09% | ||
| sum | 1,102 | 100% |
Fig. 4The distribution of NTM in Zhejiang province.
The comparison of NTM distribution of pulmonary cases from various studies.
| District/nation | year | NTM proportion | Species rank | methods | source |
|---|---|---|---|---|---|
| China, Zhejiang province | 2009-2019 | 4.8% (1,112/23,138) | CapitalBio Mycobacterium identification assay | This study | |
| China | 2013 | 6.4% (317/4,917) | MABC (36.0%); MAC (34.1%); | MALDI-TOF MS | |
| China, Fujian province | 2011 | 4.2% (60/1,425) | 16S rRNA, | ||
| China, Guangdong province | 2013-2016 | - | MAC (44.5%); MABC (40.5%); | ||
| Japan | 2006-2016 | - | MAC (87.3%); MABC (5.5%); M. kansasii (3.9%) | ||
| America | 2005-2015 | - | MAC (83.2%); M. kansasii (7.7%); M. abscessus (3.4%) | ||
| Northern Tunisia | 2019 | 0.6% (60/10,466) | |||
| Ghana | 2017 | 2.5% (43/1,755) | IS | ||
| Korea | 2009 | 7.1% (68/958) | |||
| Iran | 2018 | 15.1% (62/410) | 16S rRNA, |