Evidence map›Paper›PMID 39789455›Full record

ArticleBMC microbiology2025

Evaluation of the cross-immunity between Mycobacterium tuberculosis and Mycobacterium abscessus in vitro.

Da Xu, Yujie Gu, Guilian Li, Ruihuan Wang, Shiqi Xiao, Hongyang Duan, Jingwei Jiang, Xiuqin Zhao, Kanglin Wan, Xinyue He and 2 more

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Da Xu *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yujie Gu *School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
Guilian LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ruihuan WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Shiqi XiaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hongyang DuanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jingwei JiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiuqin ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Kanglin WanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xinyue HeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Haican LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. liuhaican@icdc.cn.
Yongliang LouSchool of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, 325035, China. louyongliang2013@163.com.

Funding

National Science and Technology Major Projects 2018ZX10731301-002Youth Science Fund Project of iCDC 08065
6 · The paper itself

Abstract

Mycobacterium tuberculosis (M. tuberculosis) and Mycobacterium abscessus (M. abscessus) are important pathogens that can cause lung diseases. Given the abundance of shared antigens between these two pathogens, evaluating the cross-immunization between Mycobacterium tuberculosis and Mycobacterium abscessus has implications for the assessment of tuberculosis vaccines based on nontuberculous mycobacteria (NTM). The whole-cell proteins of Mycobacterium abscessus were lysed via ultrasonication and then were subcutaneously injected into BALB/c mice either alone or mixed with adjuvant for three times at a 10-day interval. After the final immunization, cross-immune antigens were analysed via genomic comparison and Mycobacterium tuberculosis proteome microarrays. BALB/c mice splenic lymphocytes were stimulated with TB-PPD to assess the cross-immunity of the cellular immune response. The effect of cross-immunity on the growth of Mycobacterium tuberculosis was evaluated using a Mycobacterium tuberculosis growth inhibition assay. Despite the presence of 1,953 homologous gene clusters between Mycobacterium tuberculosis and Mycobacterium abscessus, only 302 Mycobacterium tuberculosis antigens exhibited cross-immunoreactivity after three immunizations. Compared with the PBS group, TB-PPD stimulation significantly increased the secretion of TNF-α, IL-4, and IL-6 by sensitized mouse splenic lymphocytes, and significantly affected the proliferation of IL-2

Indexed as

Antigens, BacterialCross ReactionsMice, Inbred BALB CMycobacterium abscessusMycobacterium tuberculosisAnimalsBacterial ProteinsCytokinesFemaleImmunizationLymphocytesMiceMycobacterium Infections, NontuberculousSpleenTuberculosisTuberculosis VaccinesAntigens, BacterialBacterial ProteinsCytokinesTuberculosis VaccinesCross-immunityCross-reactive antigensMycobacterium abscessusMycobacterium tuberculosis

Identifiers

PMID39789455
PMCPMC11716203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.