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pmid:40626048
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
Frontiers in physiology · 2025 doi:10.3389/fphys.2025.1463597
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Complete file
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This study aimed to analyze the microRNA (miRNA) profile of cerebrospinal fluid (CSF) in NB patients to identify potential biomarkers for NB diagnosis.\nMethods: 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.\nResults: 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.\nConclusion: Collectively, miR-576-5p and miR-499a-5p may serve as potential biomarkers for the diagnosis of NB.", "claims": [{"id": "claim-method", "statement": "LASSO Cox regression analysis with was conducted using the “glmnet” package in R language to further identify miRNAs associated with NB (Friedman et al., 2010).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40626048", "locator": "sections[8] \"2.6 LASSO regression analysis\" paragraph 2", "quote": "LASSO Cox regression analysis with was conducted using the “glmnet” package in R language to further identify miRNAs associated with NB (Friedman et al., 2010)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data supporting the conclusions of this study are openly available at https://www.ncbi.nlm.nih.gov/search/all/?term=PRJNA1272809, reference number PRJNA1272809.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40626048", "locator": "sections[22] \"Data availability statement\" paragraph 2", "quote": "Data supporting the conclusions of this study are openly available at https://www.ncbi.nlm.nih.gov/search/all/?term=PRJNA1272809, reference number PRJNA1272809."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A two-miRNA diagnostic signature comprising miR-576-5p and miR-499a-5p showed strong diagnostic performance for neurobrucellosis, with ROC AUC values of 1.000 in the in-house cohort and 0.875 in the validation cohort.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40626048", "locator": "sections[16] \"3.3 Construction a diagnostic risk score model\" paragraph 2", "quote": "As shown in Figures 4B, C, the AUC value of the ROC curve was 1.000 in the in-house cohort, and was 0.875 in the validation cohort, indicating that the risk score may have a good diagnostic performance."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A two-miRNA diagnostic signature comprising miR-576-5p and miR-499a-5p showed strong diagnostic performance for neurobrucellosis, with ROC AUC values of 1.000 in the in-house cohort and 0.875 in the validation cohort.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:40626048"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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