Evidence map›Paper›PMID 34213077›Full record

ArticleJournal of cellular and molecular medicine2021

IRF1 as a potential biomarker in Mycobacterium tuberculosis infection.

Liwei Wu, Qiliang Cheng, Zilu Wen, Yanzheng Song, Yijun Zhu, Lin Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. IFIT2-induced transcriptomic changes inFrontiers in cellular and infection microbiology · 2025
    Article
  7. Article
  8. Article
  9. Host Cell Death and Modulation of Immune Response againstInternational journal of molecular sciences · 2024
    Review
  10. Article
  11. Transcriptional analysis of human peripheral blood mononuclear cells stimulated byFrontiers in cellular and infection microbiology · 2023
    Article
  12. IRF1 as a potential biomarker in Mycobacterium tuberculosis infection.Journal of cellular and molecular medicine · 2021
    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 at 1 institution in 1 country.

Liwei WuDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.ORCID 0000-0002-3150-2260
Qiliang ChengDepartment of Thoracic Surgery, Tuberculosis Hospital of Shaanxi Province, Xi'an, China.
Zilu WenDepartment of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yanzheng SongDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yijun ZhuDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Lin WangDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Shanghai Public Health Clinical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary tuberculosis (PTB) is a major global public health problem. The purpose of this study was to find biomarkers that can be used to diagnose tuberculosis. We used four NCBI GEO data sets to conduct analysis. Among the four data sets, GSE139825 is lung tissue microarray, and GSE83456, GSE19491 and GSE50834 are blood microarray. The differential genes of GSE139825 and GSE83456 were 68 and 226, and intersection genes were 11. Gene ontology (GO) analyses of 11 intersection genes revealed that the changes were mostly enriched in regulation of leucocyte cell-cell adhesion and regulation of T-cell activation. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of DEGs revealed that the host response in TB strongly involves cytokine-cytokine receptor interactions and folate biosynthesis. In order to further narrow the range of biomarkers, we used protein-protein interaction to establish a hub gene network of two data sets and a network of 11 candidate genes. Eventually, IRF1 was selected as a biomarker. As validation, IRF1 levels were shown to be up-regulated in patients with TB relative to healthy controls in data sets GSE19491 and GSE50834. Additionally, IRF1 levels were measured in the new patient samples using ELISA. IRF1 was seen to be significantly up-regulated in patients with TB compared with healthy controls with an AUC of 0.801. These results collectively indicate that IRF1 could serve as a new biomarker for the diagnosis of pulmonary tuberculosis.

Indexed as

Up-RegulationBiomarkersCytokinesGene Regulatory NetworksHumansInterferon Regulatory Factor-1Protein Interaction MapsTranscriptomeTuberculosis, PulmonaryBiomarkersCytokinesInterferon Regulatory Factor-1IRF1 protein, humanbiomarkerdifferentially expressed gene (DEG)network analysisproteinprotein interactiontuberculosis (TB)

Identifiers

PMID34213077
PMCPMC8335664
OpenAlexW3175878421

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.