Evidence map›Paper›PMID 32548683›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

Screening and evaluation of Mycobacterium tuberculosis diagnostic antigens.

Zhongchen Ma, Xiang Ji, Hang Yang, Jinke He, Qian Zhang, Yong Wang, Zhen Wang, Chuangfu Chen

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A systematic review of potential screening biomarkers for active TB disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
    Review
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

8 authors at 2 institutions in 1 country.

Zhongchen MaCollege of Animal Science and Technology, Shihezi University, Shihezi, 832000, Xinjiang, China.
Xiang JiCollege of Life Science, Shihezi University, Shihezi, 832000, Xinjiang, China.
Hang YangCollege of Animal Science and Technology, Shihezi University, Shihezi, 832000, Xinjiang, China.
Jinke HeCollege of Life Science, Shihezi University, Shihezi, 832000, Xinjiang, China.
Qian ZhangState Key Laboratory for Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, 832000, Xinjiang, China.
Yong WangCollege of Animal Science and Technology, Shihezi University, Shihezi, 832000, Xinjiang, China.
Zhen WangCollege of Animal Science and Technology, Shihezi University, Shihezi, 832000, Xinjiang, China. 530469380@qq.com.
Chuangfu ChenCollege of Animal Science and Technology, Shihezi University, Shihezi, 832000, Xinjiang, China. chuangfu_chen@163.com.
Shihezi University · CNXinjiang Academy of Agricultural and Reclamation Science · CN

Funding

National Basic Research Program of China (973 Program) (CN) 2017YDF0500304National Natural Science Foundation of China U1803236
6 · The paper itself

Abstract

In recent years, the prevalence of tuberculosis worldwide has increased, and with it, the number of drug-resistant tuberculosis strains. This has brought new challenges towards prevention and control of the disease. Therefore, it is urgent to find reliable and rapid diagnostic methods for tuberculosis in general, and for the drug-resistant forms of the disease. To this aim, we assessed 17 tuberculosis-specific protein candidates for the detection of tuberculosis-specific antibodies. First, we established an indirect ELISA method to detect anti-Mycobacterium tuberculosis IgM and IgG. We tested 453 sera and analyzed the efficacy of the protein candidates for diagnosis of tuberculosis. Next, we screened antigens rich in T cell epitopes for their ability to induce high levels of IFN-γ, in order to define their suitability does develop detection tests based on IFN-γ release assay (IGRAs). The antigens CFP-10, PPE57, 38kDa, and Rv3807 showed higher diagnostic potential for the detection of anti-tuberculosis IgM, whereas PPE57, Ag85B, CFP-10, Rv0220, and 38kDa antigens performed better for anti-tuberculosis IgG detection. Worth noting is that CFP-10, 38kDa, and PPE57 detected efficiently both IgM and IgG. Rv1987, Rv3807, PPE57, Rv0220, and MPT64 proteins alone and combinations of Rv1987 + Rv3807, 16kDa + Rv0220, and MPT64 + Rv1986 tested in IGRAs displayed a good correlation with the positive control constituted by a cocktail of ESAT-6 + CFP-10 + TB7.7 (ECT), known for their stimulating properties (r > 0.5, p < 0.01). Among these antigen candidates, Rv0220 and Rv1987 + Rv3807 were the most potent. We discovered CFP-10, 38kDa, and PPE57 for the detection of anti-M. tuberculosis IgM and IgG, and Rv0220 alone or the combination Rv1987 + Rv3807 as the strongest stimulators in IGRAs. These antigens provide new references for the screening of tuberculosis-specific antibodies and effective stimulation in IGRAs.

Indexed as

Antibodies, BacterialAntigens, BacterialEnzyme-Linked Immunosorbent AssayHumansMycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantAntibodies, BacterialAntigens, BacterialMycobacterium tuberculosis antigensIFN-γ release test (IGRAs)Indirect ELISAMycobacterium tuberculosis

Identifiers

PMID32548683
OpenAlexW3034187550

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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.