Evidence map›Paper›PMID 32811479›Full record

ArticleBMC infectious diseases2020

Gene network in pulmonary tuberculosis based on bioinformatic analysis.

Lili Li, Jian Lv, Yuan He, Zhihua Wang

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Prognostic value ofFrontiers in genetics · 2022
    Article
  5. An Epistatic Network DescribesFrontiers in molecular biosciences · 2022
    Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Lili LiCentral Laboratory, Renmin Hospital of Wuhan University, 95 Zhangzhidong Rd. Wuchang District, Wuhan, 430060, China.
Jian LvCentral Laboratory, Renmin Hospital of Wuhan University, 95 Zhangzhidong Rd. Wuchang District, Wuhan, 430060, China.
Yuan HeCentral Laboratory, Renmin Hospital of Wuhan University, 95 Zhangzhidong Rd. Wuchang District, Wuhan, 430060, China.
Zhihua WangCentral Laboratory, Renmin Hospital of Wuhan University, 95 Zhangzhidong Rd. Wuchang District, Wuhan, 430060, China. zhihuawang@whu.edu.cn.ORCID http://orcid.org/0000-0002-1800-2384
Wuhan University · CN

Funding

National Health Commission of China No. 2017ZX10304402001-008National Natural Science Foundation of China No. 81722007
6 · The paper itself

Abstract

backgroundPulmonary tuberculosis (PTB) is one of the serious infectious diseases worldwide; however, the gene network involved in the host response remain largely unclear.

methodsThis study integrated two cohorts profile datasets GSE34608 and GSE83456 to elucidate the potential gene network and signaling pathways in PTB. Differentially expressed genes (DEGs) were obtained for Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis using Metascape database. Protein-Protein Interaction (PPI) network of DEGs was constructed by the online database the Search Tool for the Retrieval of Interacting Genes (STRING). Modules were identified by the plug-in APP Molecular Complex Detection (MCODE) in Cytoscape. GO and KEGG pathway of Module 1 were further analyzed by STRING. Hub genes were selected for further expression validation in dataset GSE19439. The gene expression level was also investigated in the dataset GSE31348 to display the change pattern during the PTB treatment.

resultsTotally, 180 shared DEGs were identified from two datasets. Gene function and KEGG pathway enrichment revealed that DEGs mainly enriched in defense response to other organism, response to bacterium, myeloid leukocyte activation, cytokine production, etc. Seven modules were clustered based on PPI network. Module 1 contained 35 genes related to cytokine associated functions, among which 14 genes, including chemokine receptors, interferon-induced proteins and Toll-like receptors, were identified as hub genes. Expression levels of the hub genes were validated with a third dataset GSE19439. The signature of this core gene network showed significant response to Mycobacterium tuberculosis (Mtb) infection, and correlated with the gene network pattern during anti-PTB therapy.

conclusionsOur study unveils the coordination of causal genes during PTB infection, and provides a promising gene panel for PTB diagnosis. As major regulators of the host immune response to Mtb infection, the 14 hub genes are also potential molecular targets for developing PTB drugs.

Indexed as

Gene Regulatory NetworksMycobacterium tuberculosisTranscriptomeBiomarkersCohort StudiesComputational BiologyGene Expression ProfilingGene Expression RegulationHumansProtein Interaction MapsSignal TransductionTuberculosis, PulmonaryBiomarkersBioinformatic analysisHub genesMycobacterium tuberculosisProtein-protein interactionPulmonary tuberculosis

Identifiers

PMID32811479
PMCPMC7436983
OpenAlexW3067904212

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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.