MicroRNAs signatures in small extracellular vesicles for psychological resilience in young adults using machine learning.

IF 2.6 4区医学 Q2 GENETICS & HEREDITY

Epigenomics Pub Date : 2025-10-01 Epub Date: 2025-09-10 DOI:10.1080/17501911.2025.2558496

Chia-Hsuan Li, Bao-Yu Chen, Chih-Wei Lin, Shulan Hsieh, Cheng-Ta Yang, Joshua Oon Soo Goh, Yun-Hsuan Chang, Sheng-Hsiang Lin

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引用次数: 0

Abstract

Aims: Psychological resilience refers to an individual's capacity to adapt to adverse events. MicroRNAs (miRNAs) play a crucial role in regulating post-transcriptional processes, while small extracellular vesicles (sEVs) act as transport vehicles. This study aimed to employ genome-wide profiling to identify and validate differences in the expression of resilience-associated sEV-miRNAs between low resilience (LR) and high resilience (HR) in young adults.

Methods: Eighty participants were divided into LR or HR based on the Connor - Davidson Resilience Scale (CD-RISC). The expression levels of the target sEV-miRNAs in LR and HR were compared and analyzed.

Results: Expression analyses demonstrated significant differences in let-7b, miR-151b, miR-335, and miR-193a between LR and HR (p < 0.01), with let-7b showing the highest discriminative ability. The AUC values for each sEV-miRNA ranged from 0.74 to 0.94, based on logistic regression and three machine learning models: random forest, support vector machine, and eXtreme gradient boosting. Based on leave-one-out cross-validation in different models, the combined four sEV-miRNAs demonstrated strong performance for detecting LR (AUC = 0.87-0.90). Sex-specific differences were also observed, with female participants showing more pronounced resilience signatures in targeted sEV-miRNAs.

Conclusions: These findings suggest that sEV-miRNAs hold potential as biomarkers for psychological resilience in young adults.

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使用机器学习的小细胞外囊泡中的microrna特征对年轻人心理弹性的影响。

目的：心理弹性是指个体对不良事件的适应能力。MicroRNAs （miRNAs）在调控转录后过程中起着至关重要的作用，而小的细胞外囊泡（sev）则是转运载体。本研究旨在采用全基因组分析来鉴定和验证年轻成人低弹性（LR）和高弹性（HR）之间弹性相关sev - mirna表达的差异。方法：采用Connor - Davidson弹性量表（CD-RISC）将80名被试分为LR组和HR组。比较分析目标sev - mirna在LR和HR中的表达水平。结果：表达分析显示，LR和HR之间的let-7b、miR-151b、miR-335和miR-193a存在显著差异(p)。结论：这些发现表明sev - mirna有潜力作为年轻人心理弹性的生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Epigenomics GENETICS & HEREDITY-

CiteScore

5.80

自引率

2.60%

发文量

审稿时长

>12 weeks

期刊介绍： Epigenomics provides the forum to address the rapidly progressing research developments in this ever-expanding field; to report on the major challenges ahead and critical advances that are propelling the science forward. The journal delivers this information in concise, at-a-glance article formats – invaluable to a time constrained community. Substantial developments in our current knowledge and understanding of genomics and epigenetics are constantly being made, yet this field is still in its infancy. Epigenomics provides a critical overview of the latest and most significant advances as they unfold and explores their potential application in the clinical setting.