Evidence map›Paper›PMID 29281987›Full record

ArticleBMC infectious diseases2017

ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection.

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

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

5 authors.

Fangbin ZhouInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, People's Republic of China.
Xindong XuInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, People's Republic of China.
Sijia WuInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, People's Republic of China.
Xiaobing CuiInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, People's Republic of China.
Weiqing PanInstitute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, People's Republic of China. wqpan0912@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe challenges posed by Mycobacterium tuberculosis infection require the gradual removal of the pool of latent tuberculosis infection (LTBI). The current cell-immune-based diagnostic tests used to identify LTBI individuals have several irreversible drawbacks. In the present study, we attempted to identify novel diagnostic antigens for LTBI.

methodsA high-throughput glutathione S-transferase (GST)-fusion technology was used to express over 409 TB proteins and sera from LTBI and healthy individuals was used to interrogate these GST-TB fusion proteins.

resultsOf 409 TB proteins, sixty-three reacted seropositive and defined the immuno-ORFeome of latent M. tuberculosis. Within the immuno-ORFeome, the rare targets were predominantly latency-associated proteins and secreted proteins, while the preferentially recognized antigens tended to be transmembrane proteins. Six of novel highly-reactive antigens had the potential to distinguish LTBI from active TB and healthy individuals. A multiple-antigen combination set was selected through analysis of various combinations. A panel of 94 archived serum samples was used to validate the diagnostic performance of the multiple-antigen combination set, which had sensitivity of 66.1% (95% CI 52.9, 77.4) and specificity of 87.5% (95% CI 70.1, 95.1).

conclusionThese results provide experimental evidence of the immunogenicity of novel TB proteins that are suitable for the development of serodiagnostic tools for LTBI.

Indexed as

Antibodies, BacterialAntigens, BacterialBiomarkersEnzyme-Linked Immunosorbent AssayGlutathione TransferaseHumansImmunoglobulin GLatent TuberculosisMycobacterium tuberculosisOpen Reading FramesSensitivity and SpecificitySerologic TestsAntibodies, BacterialAntigens, BacterialBiomarkersGlutathione TransferaseImmunoglobulin GLatent TB infectionMycobacterium tuberculosisRecombinant GST-TB fusion proteinsSensitivity and specificitySerodiagnosis

Identifiers

PMID29281987
PMCPMC5745629

What OpenQuestion holds

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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.