Literature DB >> 35236118

Genetics and Brain Transcriptomics of Completed Suicide.

Giovanna Punzi1, Gianluca Ursini1, Qiang Chen1, Eugenia Radulescu1, Ran Tao1, Louise A Huuki1, Pasquale Di Carlo1, Leonardo Collado-Torres1, Joo Heon Shin1, Roberto Catanesi1, Andrew E Jaffe1, Thomas M Hyde1, Joel E Kleinman1, Trudy F C Mackay1, Daniel R Weinberger1.   

Abstract

OBJECTIVE: The authors sought to study the transcriptomic and genomic features of completed suicide by parsing the method chosen, to capture molecular correlates of the distinctive frame of mind of individuals who die by suicide, while reducing heterogeneity.
METHODS: The authors analyzed gene expression (RNA sequencing) from postmortem dorsolateral prefrontal cortex of patients who died by suicide with violent compared with nonviolent means, nonsuicide patients with the same psychiatric disorders, and a neurotypical group (total N=329). They then examined genomic risk scores (GRSs) for each psychiatric disorder included, and GRSs for cognition (IQ) and for suicide attempt, testing how they predict diagnosis or traits (total N=888).
RESULTS: Patients who died by suicide by violent means showed a transcriptomic pattern remarkably divergent from each of the other patient groups but less from the neurotypical group; consistently, their genomic profile of risk was relatively low for their diagnosed illness as well as for suicide attempt, and relatively high for IQ: they were more similar to the neurotypical group than to other patients. Differentially expressed genes (DEGs) associated with patients who died by suicide by violent means pointed to purinergic signaling in microglia, showing similarities to a genome-wide association study of Drosophila aggression. Weighted gene coexpression network analysis revealed that these DEGs were coexpressed in a context of mitochondrial metabolic activation unique to suicide by violent means.
CONCLUSIONS: These findings suggest that patients who die by suicide by violent means are in part biologically separable from other patients with the same diagnoses, and their behavioral outcome may be less dependent on genetic risk for conventional psychiatric disorders and be associated with an alteration of purinergic signaling and mitochondrial metabolism.

Entities:  

Keywords:  Genomic Risk; Mitochondria; Postmortem Brain; Purinergic Signaling; RNA Sequencing; Suicide Method

Mesh:

Year:  2022        PMID: 35236118      PMCID: PMC8908792          DOI: 10.1176/appi.ajp.2021.21030299

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  78 in total

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Journal:  J Neurosci       Date:  2014-09-03       Impact factor: 6.167

3.  Increased expression of MARCKS in post-mortem brain of violent suicide completers is related to transcription of a long, noncoding, antisense RNA.

Authors:  G Punzi; G Ursini; J H Shin; J E Kleinman; T M Hyde; D R Weinberger
Journal:  Mol Psychiatry       Date:  2014-05-13       Impact factor: 15.992

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Journal:  Nature       Date:  2020-12-16       Impact factor: 49.962

5.  Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis.

Authors:  Andrew E Jaffe; Richard E Straub; Joo Heon Shin; Ran Tao; Yuan Gao; Leonardo Collado-Torres; Tony Kam-Thong; Hualin S Xi; Jie Quan; Qiang Chen; Carlo Colantuoni; William S Ulrich; Brady J Maher; Amy Deep-Soboslay; Alan J Cross; Nicholas J Brandon; Jeffrey T Leek; Thomas M Hyde; Joel E Kleinman; Daniel R Weinberger
Journal:  Nat Neurosci       Date:  2018-07-26       Impact factor: 24.884

Review 6.  BrainSeq: Neurogenomics to Drive Novel Target Discovery for Neuropsychiatric Disorders.

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8.  Microglial Gi-dependent dynamics regulate brain network hyperexcitability.

Authors:  Mario Merlini; Victoria A Rafalski; Keran Ma; Keun-Young Kim; Eric A Bushong; Pamela E Rios Coronado; Zhaoqi Yan; Andrew S Mendiola; Elif G Sozmen; Jae Kyu Ryu; Matthias G Haberl; Matthew Madany; Daniel Naranjo Sampson; Mark A Petersen; Sophia Bardehle; Reshmi Tognatta; Terry Dean; Rosa Meza Acevedo; Belinda Cabriga; Reuben Thomas; Shaun R Coughlin; Mark H Ellisman; Jorge J Palop; Katerina Akassoglou
Journal:  Nat Neurosci       Date:  2020-12-14       Impact factor: 24.884

9.  Gene Ontology Consortium: going forward.

Authors: 
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 19.160

10.  A polygenic resilience score moderates the genetic risk for schizophrenia.

Authors:  Jonathan L Hess; Daniel S Tylee; Manuel Mattheisen; Anders D Børglum; Thomas D Als; Jakob Grove; Thomas Werge; Preben Bo Mortensen; Ole Mors; Merete Nordentoft; David M Hougaard; Jonas Byberg-Grauholm; Marie Bækvad-Hansen; Tiffany A Greenwood; Ming T Tsuang; David Curtis; Stacy Steinberg; Engilbert Sigurdsson; Hreinn Stefánsson; Kári Stefánsson; Howard J Edenberg; Peter Holmans; Stephen V Faraone; Stephen J Glatt
Journal:  Mol Psychiatry       Date:  2019-09-06       Impact factor: 15.992

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  1 in total

1.  Transcriptome Profiling of the Dorsomedial Prefrontal Cortex in Suicide Victims.

Authors:  Fanni Dóra; Éva Renner; Dávid Keller; Miklós Palkovits; Árpád Dobolyi
Journal:  Int J Mol Sci       Date:  2022-06-25       Impact factor: 6.208

  1 in total

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