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A Multi-Omics Study of Comorbid Mechanisms Between Depression and Inflammatory Dermatoses Identifies FADS1 and

Yibo Feng1, Xiang Chen1, Xinlan Qiu1

  • 1Department of Dermatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

Abstract

Insights

Genetic links between inflammatory skin conditions and mental health disorders are evident. Depression increases psoriasis risk, while atopic dermatitis is linked to higher depression rates, with 14 genes identified as potential therapeutic targets.

Area of Science:

  • Genetics
  • Psychiatry
  • Dermatology
  • Immunology

Background:

  • Emerging evidence highlights a strong association between inflammatory dermatoses and mental disorders.
  • Shared pathogenic mechanisms and combined health impacts likely drive this comorbidity.

Purpose of the Study:

  • To establish causal relationships between inflammatory dermatoses and mental disorders.
  • To investigate the shared molecular mechanisms underlying their comorbidity.

Main Methods:

  • Two-sample Mendelian randomization (TSMR) analyses using genome-wide association study (GWAS) summary statistics.
  • Integrative multi-omics framework including SMR, Bayesian colocalization, gene enrichment, and RNA sequencing.
  • Analysis of causal links between six mental disorders and seven inflammatory dermatoses.

Main Results:

  • Genetic predisposition to depression increases psoriasis risk; atopic dermatitis is causally linked to higher depression risk.
  • Identified 14 genes mediating comorbidity, implicating immunological pathways.
  • Validated candidate gene differential expression and prioritized therapeutic targets like FADS1 and TMEM258.

Conclusions:

  • Confirmed causal relationships between specific inflammatory dermatoses and mental disorders, notably depression with psoriasis and atopic dermatitis.
  • Identified 14 key genes involved in comorbid mechanisms.
  • Highlighted FADS1 and TMEM258 as promising therapeutic targets for these interconnected conditions.

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