Evidence map›Paper›PMID 26481294›Full record

ArticleScientific reports2015

Protein array identification of protein markers for serodiagnosis of Mycobacterium tuberculosis infection.

Fangbin Zhou, Xindong Xu, Sijia Wu, Xiaobing Cui, Lin Fan, Weiqing Pan

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Evaluation of immunodominant peptides of in vivo expressed mycobacterial antigens in an ELISA-based diagnostic assay for pulmonary tuberculosis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
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  7. Article
  8. Review
  9. Article
  10. Article
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  15. Review
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  18. Article
  19. Secretome Prediction of TwoFrontiers in microbiology · 2017
    Article
  20. 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

6 authors.

Fangbin ZhouInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China.
Xindong XuInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China.
Sijia WuInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China.
Xiaobing CuiInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China.
Lin FanClinic and Research Center of Tuberculosis, Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Weiqing PanInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of effective and accurate diagnostic tools contributes to the high prevalence of tuberculosis (TB) worldwide. The current serodiagnostics for TB are inadequate mainly due to lack of TB-specific antigens with highly accurate diagnosis. In the current study, we aimed to identify novel diagnostic antigens using glutathione S-transferase (GST)-fusion protein technique. We determined the reactivity of these recombinant proteins arrayed in solution and on GSH-immobilized microplates with TB patient sera. Of 409 TB proteins produced, ninety-two yielded seropositive reactions, fourteen including eight novel proteins showed strong immunoreactivity. Further, six were selected and constructed as a multiple-antigen combination set through analysis of various combinations. A comparative study of the multiple-antigen combination set and a commercially available kit revealed that the combination set showed 66.3% (95% CI 60.5-71.8) sensitivity, which was significantly higher than that of the commercial kit [31.6% (95% CI 26.3-37.3)]. The specificity of both methods was similar at 89.6% (95% CI 83.3-95.4) and 90.6% (95% CI 83.0-95.6), respectively. This study provides a set of novel diagnostic protein markers with great potential for the development of novel diagnostic tools for active TB.

Indexed as

Protein Array AnalysisAntigens, BacterialBacterial ProteinsBiomarkersHumansMycobacterium tuberculosisOpen Reading FramesProteomeProteomicsReagent Kits, DiagnosticRecombinant Fusion ProteinsReproducibility of ResultsSerologic TestsTuberculosisAntigens, BacterialBacterial ProteinsBiomarkersProteomeReagent Kits, DiagnosticRecombinant Fusion Proteins

Identifiers

PMID26481294
PMCPMC4642701

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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.