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Recent developments in omics studies and artificial intelligence in depression and suicide.

Qingzhong Wang1, Yogesh Dwivedi2

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This review explores transcriptomics, non-coding RNA, and AI for understanding major depressive disorder (MDD) and suicide pathogenesis. It highlights new molecular pathways and biomarkers for improved diagnosis and treatment.

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Area of Science:

  • Neuroscience
  • Genomics
  • Computational Biology

Background:

  • Major depressive disorder (MDD) is a leading cause of disability and is strongly linked to suicide.
  • Current understanding of MDD and suicide pathogenesis remains incomplete, hindering effective treatment and prevention.
  • There is a critical need for novel molecular pathways, biomarkers, and drug targets for depression and suicide.

Purpose of the Study:

  • To provide a systematic overview of recent advancements in transcriptomics, non-coding RNA, and artificial intelligence (AI) in depression and suicide research.
  • To discuss emerging research approaches, including spatial transcriptomics.
  • To identify challenges and propose future research directions in the field.

Main Methods:

  • Review of high-throughput sequencing technologies and whole-genome analysis.
  • Analysis of omics data from blood, brain tissue, and animal models.
  • Systematic literature review focusing on transcriptomics, non-coding RNA, and AI applications.

Main Results:

  • Omics data reveal significant molecular changes, including gene transcripts, epigenomes, and proteins, reflecting disease states.
  • Advancements in transcriptomics and non-coding RNA offer insights into MDD and suicide.
  • AI is increasingly utilized for analyzing complex biological data in mental health research.

Conclusions:

  • Transcriptomics, non-coding RNA, and AI are powerful tools for elucidating the molecular underpinnings of depression and suicide.
  • New research methodologies like spatial transcriptomics hold promise for detailed molecular mapping.
  • Addressing research challenges and pursuing future studies are crucial for developing effective interventions for MDD and suicide.