Evidence map›Paper›PMID 40182927›Full record

ArticleFrontiers in genetics2025

A panel of six immune-related mRNAs as biomarkers for tuberculosis diagnosis.

Yutong Wei, Zilu Wen, Qinghua Xue, Lin Wang, Hui Chen, Lei Shi, Laiyi Wan, Leilei Li, Hongwei Li, Wentao Hao and 4 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

14 authors.

Yutong Wei *School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China.
Zilu Wen *Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Qinghua Xue *Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Lin WangDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Hui ChenDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Lei ShiDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Laiyi WanDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Leilei LiDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Hongwei LiDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Wentao HaoDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Shulin ZhangSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China.
Ka-Wing WongDepartment of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Xiaoli YuSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China.
Yanzheng SongDepartment of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to screen common immunological markers of lung tissues and blood for diagnosis of tuberculosis (TB). Methods: Differentially expressed miRNAs (DEmRs) and mRNAs (DEGs) were obtained by whole-transcriptome sequencing profiles on 18F-FDG PET/CT high and low metabolic active regions in lung tissues of nine TB patients. Common miRNAs were screened by intersecting with DEmRs, four miRNA GEO datasets, and their target mRNAs were predicted through the miRTarbase and Tarbase databases. Then these mRNAs were intersected with DEGs, mRNAs from blood samples and immune-related genes, to construct a miRNA-mRNA interaction network, and the hub genes were identified by Cytoscape. The relationship between immune infiltration and hub genes were evaluated using Cibersort. Finally, a diagnostic model based on Lasso regression analysis was established and validated by qRT-PCR. Results: Five common miRNAs were obtained in both blood and tissues. Six immune-related mRNAs ( Conclusion: We screened six mRNAs as a combination for diagnosing tuberculosis.

Indexed as

diagnosisimmune gene signatureLASSO regressionmiRNAtuberculosis

Identifiers

PMID40182927
PMCPMC11965592

What OpenQuestion holds

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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.