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<p>Major depressive disorder (MDD) is a widespread mental health condition characterized by persistent low mood and a range of associated symptoms that significantly impact daily functioning. Despite its prevalence, the underlying molecular mechanisms of MDD remain poorly understood. MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in regulating gene expression by binding to target mRNAs, leading to their degradation or inhibition of translation. Dysregulation of miRNAs has been implicated in various diseases, including neurological and psychiatric disorders. Single nucleotide polymorphisms (SNPs) in miRNAs can alter their function by affecting their ability to bind to target mRNAs or by influencing their expression levels. However, the specific impact of miRNA SNPs on MDD pathology is not well understood. This study aimed to computationally predict regulatory miRNA SNPs that could serve as potential biomarkers for MDD, providing insights into the molecular mechanisms underlying the disorder.</p>

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SNP-based identification of miRNA biomarkers associated with major depressive disorder

  • 期刊论文

  • 发表日期：

    2026年2月17日

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  • Dhivya Selvaraj,
  • Harish Mani Chandra

摘要

Major depressive disorder (MDD) is a widespread mental health condition characterized by persistent low mood and a range of associated symptoms that significantly impact daily functioning. Despite its prevalence, the underlying molecular mechanisms of MDD remain poorly understood. MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in regulating gene expression by binding to target mRNAs, leading to their degradation or inhibition of translation. Dysregulation of miRNAs has been implicated in various diseases, including neurological and psychiatric disorders. Single nucleotide polymorphisms (SNPs) in miRNAs can alter their function by affecting their ability to bind to target mRNAs or by influencing their expression levels. However, the specific impact of miRNA SNPs on MDD pathology is not well understood. This study aimed to computationally predict regulatory miRNA SNPs that could serve as potential biomarkers for MDD, providing insights into the molecular mechanisms underlying the disorder.