Evidence map›Paper›PMID 40626048›Full record

ArticleFrontiers in physiology2025

Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.

Meiling Liu, Liping Feng, Shujun Shi, Yuzhou Guo, Menghan Lv, Zhengyu Li, Xintian Wang, Hao Yang, Zhelin Zhang

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Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Meiling Liu *Department of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Liping Feng *Xing'an League Disease Prevention and Control Center, Ulanhot, China.
Shujun ShiDepartment of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Yuzhou GuoDepartment of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Menghan LvDepartment of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Zhengyu LiDepartment of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Xintian WangDepartment of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Hao YangDepartment of Radiation Oncology, Inner Mongolia Cancer Hospital & Affiliated People's Hospital of Inner Mongolia Medical University, Hohhot, China.
Zhelin ZhangDepartment of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neurobrucellosis (NB) is a rare complication of brucellosis that presentis with a variety of clinical symptoms, complicating its diagnosis. This study aimed to analyze the microRNA (miRNA) profile of cerebrospinal fluid (CSF) in NB patients to identify potential biomarkers for NB diagnosis. Methods: Small RNA sequencing was utilized to identify differential expressed miRNAs (DEmiRNAs) in CSF samples from both control and NB patients (in-house cohort). The GSE107554 dataset (validation cohort) from the GEO database was used to validate the expression levels of these DEmiRNAs. Subsequently, LASSO regression analysis was conducted to construct a diagnostic risk score model based on common miRNAs identified in both the in-house and validation cohorts. Results: The study identified 51 DEmiRNAs between the control and NB groups, based on the data from the in-house cohort. Among these, four common miRNAs (miR-342-3p, miR-576-5p, miR-15b-5p and miR-499a-5p) were significantly elevated in the infection group compared to controls in both the in-house and validation cohorts. Subsequently, a novel NB diagnostic signature comprising two miRNAs (miR-576-5p and miR-499a-5p) was developed using the LASSO regression analysis. Receiver operating characteristic (ROC) analysis demonstrated the good diagnostic potential of this miRNA signature in both cohorts. RT-qPCR analysis indicated elevated levels of miR-576-5p and miR-499a-5p in CSF samples of NB patients compared to controls. Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients. Conclusion: Collectively, miR-576-5p and miR-499a-5p may serve as potential biomarkers for the diagnosis of NB.

Indexed as

cerebrospinal fluidsmiR-499a-5pmiR-576-5pmiRNAsneurobrucellosis

Identifiers

PMID40626048
PMCPMC12230071

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