Evidence map›Paper›PMID 40387517›Full record

ArticleJournal of cellular and molecular medicine2025

miRNA Differential Expression Profile Analysis and Identification of Potential Key Genes in Active Tuberculosis.

Jun Yang, Hanliang Dan, Yeng Chen, Linrong Zou, Shanshan Liu, Feng Wang, Maslinda Binti Musa

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
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

7 authors.

Jun YangFaculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.ORCID 0009-0009-9904-476X
Hanliang DanFaculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Yeng ChenFaculty of Dentistry, University of Malaiya, Kuala Lumpur, Malaysia.
Linrong ZouDepartment of Laboratory Medicine, Guilin, Guangxi, China.
Shanshan LiuDepartment of Laboratory Medicine, Guilin, Guangxi, China.
Feng WangDepartment of Laboratory Medicine, Guilin, Guangxi, China.
Maslinda Binti MusaFaculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.

Funding

Guangxi Medical and Health Key Research Project S2018018Guangxi Medical and Health Key Research Project Z20200639Natural Science Foundation of Guangxi Zhuang Autonomous Region 2024JJH140492
6 · The paper itself

Abstract

Tuberculosis (TB), caused by Mycobacterium TB (MTB), remains a significant global health issue, particularly in developing nations. MicroRNAs (miRNAs) are non-coding RNAs (ncRNAs) that modulate immune responses and play a pivotal role in the pathogenesis of MTB by altering host immune defences. Insights into the regulatory functions of these miRNAs have revealed mechanisms through which MTB evades immune surveillance and establishes persistent infections, highlighting the critical role of miRNA networks in TB pathogenesis. The purpose of this study was to analyse miRNA expression in plasma from TB patients, to predict target genes, and to construct regulatory networks to elucidate the roles of miRNAs in TB pathogenesis. Plasma samples from three patients with active TB and three healthy controls were analysed using high-throughput small RNA sequencing. DEMs were identified using DESeq2, and target genes were predicted via TargetScan and miRWalk. Protein-protein interaction (PPI) networks were constructed using STRING and Cytoscape. Functional enrichment analyses were performed using Gene Ontology (GO) and KEGG databases. A total of 23 DEMs were identified, including 17 upregulated and 6 downregulated miRNAs. hsa-miR-15a-5p emerged as the most significantly upregulated miRNA. PPI network analysis highlighted CCND1, CDK6 and CCND2 as central genes, potentially regulated by miR-15a-5p. GO and KEGG analyses revealed enrichment in pathways related to cell cycle regulation, kinase activity and protein complex formation, suggesting their involvement in TB pathogenesis. This study identifies hsa-miR-15a-5p and its target genes as key components in the regulatory landscape of TB. These findings offer new insights into the molecular mechanisms of TB and propose potential biomarkers and therapeutic targets for future research.

Indexed as

Gene Expression ProfilingMicroRNAsTranscriptomeTuberculosisAdultCase-Control StudiesComputational BiologyCyclin D1FemaleGene Expression RegulationGene OntologyGene Regulatory NetworksHumansMaleMiddle AgedMycobacterium tuberculosisCyclin D1MicroRNAsactive tuberculosisdifferential expressiongene regulationmicroRNA

Identifiers

PMID40387517
PMCPMC12087295

What OpenQuestion holds

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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.