Evidence map›Paper›PMID 42326546›Full record

ArticleInfectious diseases & immunity2024

Development and Evaluation of a Promising Biomarker for Diagnosis of Latent and Active Tuberculosis Infection.

Cong Peng, Fan Jiang, Yinping Liu, Yong Xue, Peng Cheng, Jie Wang, Liang Wang, Wenping Gong

Abstract read
In one paragraph

Article in Infectious diseases & immunity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Cong PengHebei North University, Zhangjiakou 075000, Hebei Province, China.
Fan JiangBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
Yinping LiuBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
Yong XueBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
Peng ChengHebei North University, Zhangjiakou 075000, Hebei Province, China.
Jie WangBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
Liang WangDepartment of Geriatrics, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.
Wenping GongBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, Eighth Medical Center of PLA General Hospital, Beijing 100091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diagnosing latent tuberculosis (TB) infection (LTBI) and active TB (ATB) is crucial for preventing disease progression and transmission. However, current diagnostic tests have limitations in terms of accuracy and sensitivity, making it challenging to diagnose these different infection states. Therefore, this study intends to develop a promising biomarker for LTBI and ATB diagnosis to overcome the limitations of the current diagnostic tests. Methods: We developed a novel multiepitope-based diagnostic biomarker (MEBDB) from LTBI region of differentiation antigens using bioinformatics and immunoinformatics. Immune responses induced by MEBDM were detected using enzyme-linked immunosorbent spot and cytometric bead assays. This study was conducted from April 2022 to December 2022 in the Senior Department of Tuberculosis at the 8th Medical Center of PLA General Hospital, China. Blood samples were collected from participants with ATB, individuals with LTBI, and healthy controls (HCs). The diagnostic efficacy of MEBDB was evaluated using receiver operating characteristic curves. Results: A novel MEBDB, designated as CP19128P, was generated. CP19128P comprises 19 helper T lymphocyte epitopes, 12 cytotoxic T lymphocyte epitopes, and 8 B-cell epitopes. Conclusions: Our study revealed that CP19128P is a potential MEBDB for the diagnosis of LTBI and ATB. Our findings suggest a promising strategy for developing novel, accurate, and sensitive diagnostic biomarkers and identifying new targets for TB diagnosis and management.

Indexed as

Active tuberculosisBioinformatics: ImmunoinformaticsLatent tuberculosis infectionMultiepitope-based diagnostic biomarkerTuberculosis

Identifiers

PMID42326546
PMCPMC13277528

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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.