Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder

IntroductionIndividuals at clinical high risk for bipolar disorder (CHR-BD) experienced insufficient recognition. Little is known regarding the association between exosome microRNA (miRNA) profile and bipolar disorder (BD) risk.Materials and methodsTwenty youth at CHR-BD, 21 patients with BD, and 24...

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Main Authors: Xinyu Meng, Shengmin Zhang, Yingzhen Xu, Zaohui Ma, Shuzhe Zhou, Yantao Ma, Hong Ma, Xin Yu, Lili Guan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Psychiatry
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Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1589374/full
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author Xinyu Meng
Shengmin Zhang
Yingzhen Xu
Zaohui Ma
Shuzhe Zhou
Yantao Ma
Hong Ma
Xin Yu
Lili Guan
author_facet Xinyu Meng
Shengmin Zhang
Yingzhen Xu
Zaohui Ma
Shuzhe Zhou
Yantao Ma
Hong Ma
Xin Yu
Lili Guan
author_sort Xinyu Meng
collection DOAJ
description IntroductionIndividuals at clinical high risk for bipolar disorder (CHR-BD) experienced insufficient recognition. Little is known regarding the association between exosome microRNA (miRNA) profile and bipolar disorder (BD) risk.Materials and methodsTwenty youth at CHR-BD, 21 patients with BD, and 24 healthy controls were recruited in this study. Exosomal small RNA sequencing was undertaken in the plasma sample of the participants. Using machine-learning algorithms, target miRNAs were selected from differentially expressed candidates. Predictive models were built and tested on validation set.ResultsThe study identified two miRNAs that showed significantly differential expression between the CHR-BD group and the HC group: hsa-miR-184 (log2FC = 4.22, P = 1.49E-04) and hsa-miR-196a-5p (log2FC = 4.75, P = 3.56E-04). Random forest (RF) and eXtreme Gradient XGBoost jointly selected two overlapping miRNAs: hsa-miR-1908-3p and hsa-miR-412-5p. XGBoost outperformed the RF model with higher AUCs (BD group: 0.71 vs 0.71, CHR-BD group: 0.74 vs 0.72, HC group: 0.60 vs 0.57).ConclusionThe study identified four target miRNAs involved in neuroimmunity and neuronal plasticity, supported by literature linking these miRNAs to neuropsychiatric diseases, suggesting their potential as biomarkers for early BD. Future research should integrate additional biomarkers for improved discriminative performance.
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spelling doaj-art-47d71d4ee7ea4ad0b8d4bac5f70fe2a22025-08-20T01:55:12ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-05-011610.3389/fpsyt.2025.15893741589374Exosomal microRNA signatures in youth at clinical high risk for bipolar disorderXinyu MengShengmin ZhangYingzhen XuZaohui MaShuzhe ZhouYantao MaHong MaXin YuLili GuanIntroductionIndividuals at clinical high risk for bipolar disorder (CHR-BD) experienced insufficient recognition. Little is known regarding the association between exosome microRNA (miRNA) profile and bipolar disorder (BD) risk.Materials and methodsTwenty youth at CHR-BD, 21 patients with BD, and 24 healthy controls were recruited in this study. Exosomal small RNA sequencing was undertaken in the plasma sample of the participants. Using machine-learning algorithms, target miRNAs were selected from differentially expressed candidates. Predictive models were built and tested on validation set.ResultsThe study identified two miRNAs that showed significantly differential expression between the CHR-BD group and the HC group: hsa-miR-184 (log2FC = 4.22, P = 1.49E-04) and hsa-miR-196a-5p (log2FC = 4.75, P = 3.56E-04). Random forest (RF) and eXtreme Gradient XGBoost jointly selected two overlapping miRNAs: hsa-miR-1908-3p and hsa-miR-412-5p. XGBoost outperformed the RF model with higher AUCs (BD group: 0.71 vs 0.71, CHR-BD group: 0.74 vs 0.72, HC group: 0.60 vs 0.57).ConclusionThe study identified four target miRNAs involved in neuroimmunity and neuronal plasticity, supported by literature linking these miRNAs to neuropsychiatric diseases, suggesting their potential as biomarkers for early BD. Future research should integrate additional biomarkers for improved discriminative performance.https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1589374/fullbipolar disorderclinical high riskmiRNAexosomebiomarker
spellingShingle Xinyu Meng
Shengmin Zhang
Yingzhen Xu
Zaohui Ma
Shuzhe Zhou
Yantao Ma
Hong Ma
Xin Yu
Lili Guan
Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder
Frontiers in Psychiatry
bipolar disorder
clinical high risk
miRNA
exosome
biomarker
title Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder
title_full Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder
title_fullStr Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder
title_full_unstemmed Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder
title_short Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder
title_sort exosomal microrna signatures in youth at clinical high risk for bipolar disorder
topic bipolar disorder
clinical high risk
miRNA
exosome
biomarker
url https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1589374/full
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