Journal Article DZNE-2025-00947

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Integrative analysis of miRNA expression profiles reveals distinct and common molecular mechanisms underlying broad diagnostic groups of severe mental disorders.

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2025
Springer Nature [London]

Molecular psychiatry 30(9), 4364 - 4383 () [10.1038/s41380-025-03018-9]

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Abstract: Micro RNAs (miRNAs) play a crucial role as regulators of various biological processes and have been implicated in the pathogenesis of mental disorders such as schizophrenia and bipolar disorders. In this study, we investigate the expression patterns of miRNAs in the PsyCourse Study (n = 1786), contrasting three broad diagnostic groups: Psychotic (Schizophrenia-spectrum disorders), Affective (Bipolar Disorder I, II and recurrent Depression), and neurotypic healthy individuals. Through comprehensive analyses, including differential miRNA expression, miRNA transcriptome-wide association study (TWAS), and predictive modelling, we identified multiple miRNAs unique to Psychotic and Affective groups as well as shared by both. Furthermore, we performed integrative analysis to identify the target genes of the dysregulated miRNAs and elucidate their potential roles in psychosis. Our findings reveal significant alterations of multiple miRNAs such as miR-584-3p and miR-99b-5p across the studied diagnostic groups, highlighting their role as molecular correlates. Additionally, the miRNA TWAS analysis discovered previously known and novel genetically dysregulated miRNAs confirming the relevance in the etiology of the diagnostic groups. Importantly, novel factors and putative molecular mechanisms underlying these groups were uncovered through the integration of miRNA-target gene interactions. This comprehensive investigation provides valuable insights into the molecular underpinnings of severe mental disorders, shedding light on the complex regulatory networks involving miRNAs.

Keyword(s): Humans (MeSH) ; MicroRNAs: genetics (MeSH) ; MicroRNAs: metabolism (MeSH) ; Bipolar Disorder: genetics (MeSH) ; Male (MeSH) ; Female (MeSH) ; Schizophrenia: genetics (MeSH) ; Schizophrenia: metabolism (MeSH) ; Mental Disorders: genetics (MeSH) ; Gene Expression Profiling: methods (MeSH) ; Adult (MeSH) ; Transcriptome: genetics (MeSH) ; Psychotic Disorders: genetics (MeSH) ; Gene Regulatory Networks: genetics (MeSH) ; Genome-Wide Association Study: methods (MeSH) ; Middle Aged (MeSH) ; MicroRNAs

Classification:

Contributing Institute(s):
  1. Epigenetics and Systems Medicine in Neurodegenerative Diseases (AG Fischer)
  2. Molecular biomarkers for predictive diagnostics of neurodegenerative diseases (AG Wiltfang)
  3. Bioinformatics and Genome Dynamics Core (Göttingen) (Bioinformatics Unit (Göttingen))
  4. Genome Dynamics in Neurodegenerative Diseases (AG Sananbenesi)
Research Program(s):
  1. 352 - Disease Mechanisms (POF4-352) (POF4-352)
  2. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)
  3. 899 - ohne Topic (POF4-899) (POF4-899)

Appears in the scientific report 2025
Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 10 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Institute Collections > GÖ DZNE > GÖ DZNE-Bioinformatics Unit (Göttingen)
Institute Collections > GÖ DZNE > GÖ DZNE-AG Sananbenesi
Document types > Articles > Journal Article
Institute Collections > GÖ DZNE > GÖ DZNE-AG Wiltfang
Institute Collections > GÖ DZNE > GÖ DZNE-AG Fischer
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 Record created 2025-08-13, last modified 2025-09-07


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