Evidence map›Paper›PMID 40996975›Full record

ArticlePloS one2025

Exploring the molecular mechanisms and immune cell responses in brucellosis: Insights from gene expression profiles and immune cell scores.

Xiaoyuan Hu, Yuefei Li, Jiangshan Zhao, Yahetikezi Muhedaner, Kai Yang, Mengzhen Dong, Mukedaisi Aihemaijiang, Shuqin Lei, Jingxuan Sun

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Xiaoyuan HuEmergency Mouse Control Center, Xinjiang Uighur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Yuefei LiSchool of public health, Xinjiang Medical University, Urumqi, Xinjiang, China.
Jiangshan ZhaoXinjiang Uighur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Yahetikezi MuhedanerXinjiang Uighur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Kai YangChengdu for Disease Control and Prevention, Chengdu, Sichuan, China.
Mengzhen DongXinjiang Uighur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Mukedaisi AihemaijiangXinjiang Uighur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Shuqin LeiXinjiang Uighur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Jingxuan SunXinjiang Uighur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.ORCID 0009-0000-2736-3432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrucellosis is a typical zoonotic disease. The study aimed to identify key molecular markers and immune cell imbalances in brucellosis by integrating transcriptomic profiling, co-expression network analysis, and immune cell scoring.

methodsGene expression profile of 103 patients with brucellosis and 46 healthy controls were obtained from the GSE69597 dataset. Differential analysis was conducted on gene expression and immune cell score, followed by co-expression network construction. Diagnostic value of module genes was assessed using Gradient Boosting Machine (GBM) and Random Forest (RF) models to screen marker genes. Peripheral blood samples from 88 brucellosis patients and 70 healthy individuals were collected for validation using flow cytometry, RT-qPCR and Western blot.

resultsA total of 4924 DEGs were identified, and 11 co-expression modules were constructed. The Brown module showed the highest positive correlation with normal controls, while the Greenyellow module had the highest negative correlation. Enrichment analysis revealed that genes in the Brown module were mainly involved in the cell cycle and virus infection, genes in the Greenyellow module were primarily associated with the PI3K-Akt and Wnt signaling pathway. CDK1, MAPK11, and PDIA3 were identified as marker genes with high importance in both models. The marker genes were significantly higher expression in brucellosis. CD8 + T cells and NK cells were higher in brucellosis than in the control group, whereas B cells and CD4 + T cells were lower, which was confirmed by flow cytometry.

conclusionThe abnormal levels of CDK1, MAPK11, PDIA3, and immune cells in brucellosis may be involved in the disease's pathogenic mechanisms.

Indexed as

BrucellosisTranscriptomeAdultCase-Control StudiesFemaleGene Expression ProfilingGene Regulatory NetworksHumansMale

Identifiers

PMID40996975
PMCPMC12463236

What Socratic holds

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LicenceCC BY
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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 Socratic graph.