Evidence map›Paper›PMID 34671347›Full record

ArticleFrontiers in immunology2021

Development and Evaluation of a Fusion Polyprotein Based on HspX and Other Antigen Sequences for the Serodiagnosis of Tuberculosis.

Fangbin Zhou, Xindong Xu, Xiaobing Cui, Weiqing Pan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Fangbin ZhouDepartment of Tropical Diseases, Naval Medical University, Shanghai, China.
Xindong XuInstitute 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.
Weiqing PanDepartment of Tropical Diseases, Naval Medical University, Shanghai, China.
Second Military Medical University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The lack of suitable diagnostic tools contributes to the high prevalence of tuberculosis (TB) worldwide. Serological tests, based on multiple target antigens, represent an attractive option for diagnosis of this disease due to their rapidity, convenience, and low cost. Methods: Measures to reduce non-specific reactions and thereby improve the specificity of serological tests were investigated, including blocking antibodies against common bacteria in serum samples and synthesizing polypeptides covering non-conserved dominant B-cell epitopes of antigens. In addition, a fusion polyprotein containing HspX and eight other antigen sequences was constructed and expressed to increase overall sensitivity of the tests. Results: Inclusion of Conclusions: The roles of the fusion polyprotein in the humoral immune response against TB infection were demonstrated and provide a potential novel approach for the development of TB diagnostics.

Indexed as

AdsorptionAntibodies, BacterialAntigens, BacterialBacteriaBacterial ProteinsBase SequenceEpitopes, B-LymphocyteHumansImmunity, HumoralImmunoglobulin GPolyproteinsRecombinant Fusion ProteinsSerologic TestsTuberculosisAntibodies, BacterialAntigens, BacterialBacterial ProteinsEpitopes, B-LymphocyteHspX protein, Mycobacterium tuberculosisImmunoglobulin GPolyproteinsRecombinant Fusion Proteinsactive TBfusion polyproteinMycobacterium tuberculosissensitivityserodiagnosisspecificity

Identifiers

PMID34671347
PMCPMC8521024
OpenAlexW3207959166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.