Evidence map›Paper›PMID 35354436›Full record

ArticleBMC infectious diseases2022

Distribution and identification of Mycobacterium tuberculosis lineage in Kashgar prefecture.

Ai-Min Xu, Chuan-Jiang He, Xiang Cheng, AniKiz Abuduaini, Zureguli Tuerxun, Yin-Zhong Sha, Aihemaitijiang Kaisaier, Hong-Mei Peng, Ya-Hui Zhen, Su-Jie Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. Population structure and spatial distribution ofFrontiers in microbiology · 2026
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  9. Identification of positively selected genes inFrontiers in microbiology · 2024
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  10. Article
  11. Article
  12. Whole genome characterization, and geographical distribution of M. tuberculosis in central region of Veracruz, Mexico.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Ai-Min XuThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Chuan-Jiang HeThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Xiang ChengThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
AniKiz AbuduainiThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Zureguli TuerxunThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Yin-Zhong ShaThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Aihemaitijiang KaisaierThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Hong-Mei PengThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Ya-Hui ZhenThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Su-Jie ZhangThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Jing-Ran XuThe First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China.
Li Li *The First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China. 811346876@qq.com.
Xiao-Guang Zou *The First People's Hospital of Kashgar, No.66, Yingbin Avenue, Xinjiang, Kashgar, 844000, Kashgar City, China. zouxiaoguang2021@163.com.
Kashi University · CN

Funding

Natural Science Foundation of Xinjiang Uygur Autonomous Region 2020D01C013Special program for health and health young medical scientific and technological talents in the Autonomous Region WJWY-202003Tianshan Cedar Project 2019XS22Tianshan Innovation Team 2021D14003
6 · The paper itself

Abstract

objectivesKashgar prefecture is an important transportation and trade hub with a high incidence of tuberculosis. The following study analyzed the composition and differences in Mycobacterium tuberculosis (M.tb) lineage and specific tags to distinguish the lineage of the M.tb in Kashgar prefecture, thus providing a basis for the classification and diagnosis of tuberculosis in this area.

methodsWhole-genome sequencing (WGS) of 161 M.tb clinical strains was performed. The phylogenetic tree was constructed using Maximum Likelihood (ML) based on single nucleotide polymorphisms (SNPs) and verified through principal component analysis (PCA). The composition structure of M.tb in different regions was analyzed by combining geographic information.

resultsM.tb clinical strains were composed of lineage 2 (73/161, 45.34%), lineage 3 (52/161, 32.30%) and lineage 4 (36/161, 22.36%). Moreover, the 3 lineages were subdivided into 11 sublineages, among which lineage 2 included lineage 2.2.2/Asia Ancestral 1 (9/73, 12.33%), lineage 2.2.1-Asia Ancestral 2 (9/73, 12.33%), lineage 2.2.1-Asia Ancestral 3 (18/73, 24.66%), and lineage 2.2.1-Modern Beijing (39/73, 53.42%). Lineage 3 included lineage 3.2 (14/52, 26.92%) and lineage 3.3 (38/52, 73.08%), while lineage 4 included lineage 4.1 (3/36, 8.33%), lineage 4.2 (2/36, 5.66%), lineage 4.4.2 (1/36, 2.78%), lineage 4.5 (28/36, 77.78%) and lineage 4.8 (2/36, 5.66%), all of which were consistent with the PCA results. One hundred thirty-six markers were proposed for discriminating known circulating strains. Reconstruction of a phylogenetic tree using the 136 SNPs resulted in a tree with the same number of delineated clades. Based on geographical location analysis, the composition of Lineage 2 in Kashgar prefecture (45.34%) was lower compared to other regions in China (54.35%-90.27%), while the composition of Lineage 3 (32.30%) was much higher than in other regions of China (0.92%-2.01%), but lower compared to the bordering Pakistan (70.40%).

conclusionThree lineages were identified in M.tb clinical strains from Kashgar prefecture, with 136 branch-specific SNP. Kashgar borders with countries that have a high incidence of tuberculosis, such as Pakistan and India, which results in a large difference between the M.tb lineage and sublineage distribution in this region and other provinces of China.

Indexed as

Mycobacterium tuberculosisTuberculosis, Lymph NodeGenotypeHumansPakistanPhylogenyBranch-specific SNPGeographical distributionM.tb lineageM.tb SublineageWhole-genome sequencing (WGS)

Identifiers

PMID35354436
PMCPMC8966310
OpenAlexW4225684447

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.