Evidence map›Paper›PMID 32987825›Full record

ArticleInternational journal of environmental research and public health2020

Identification of Potential Biomarkers and Related Transcription Factors in Peripheral Blood of Tuberculosis Patients.

Longxiang Xie, Xiaoyu Chao, Tieshan Teng, Qiming Li, Jianping Xie

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

5 authors at 2 institutions in 1 country.

Longxiang XieCell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China.ORCID 0000-0001-6825-9690
Xiaoyu ChaoCell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China.
Tieshan TengCell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China.ORCID 0000-0002-2150-0261
Qiming LiCell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China.
Jianping XieState Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-Environments in Three Gorges Reservoir Region, Institute of Modern Biopharmaceuticals, Ministry of Education, School of Life Sciences, Southwest University, Beibei, Chongqing 400715, China.
Henan University · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB), one major threat to humans, can infect one third of the worldwide population, and cause more than one million deaths each year. This study aimed to identify the effective diagnosis and therapy biomarkers of TB. Hence, we analyzed two microarray datasets (GSE54992 and GSE62525) derived from the Gene Expression Omnibus (GEO) database to find the differentially expressed genes (DEGs) of peripheral blood mononuclear cell (PBMC) between TB patients and healthy specimens. Functional and pathway enrichment of the DEGs were analyzed by Metascape database. Protein-protein interaction (PPI) network among the DEGs were constructed by STRING databases and visualized in Cytoscape software. The related transcription factors regulatory network of the DEGs was also constructed. A total of 190 DEGs including 36 up-regulated genes and 154 down-regulated genes were obtained in TB samples. Gene functional enrichment analysis showed that these DEGs were enriched in T cell activation, chemotaxis, leukocyte activation involved in immune response, cytokine secretion, head development, etc. The top six hub genes (namely, LRRK2, FYN, GART, CCR7, CXCR5, and FASLG) and two significant modules were got from PPI network of DEGs. Vital transcriptional factors, such as FoxC1 and GATA2, were discovered with close interaction with these six hub DEGs. By systemic bioinformatic analysis, many DEGs associated with TB were screened, and these identified hub DEGs may be potential biomarkers for diagnosis and treatment of TB in the future.

Indexed as

Leukocytes, MononuclearTranscription FactorsTuberculosisBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansBiomarkers, TumorTranscription Factorsbioinformaticsdiagnostic biomarkerhub genePBMCtuberculosis

Identifiers

PMID32987825
PMCPMC7579196
OpenAlexW3088561235

What OpenQuestion holds

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LicenceCC BY
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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.