Evidence map›Paper›PMID 40701976›Full record

ArticleTranslational psychiatry2025

Pharmacologic and genetic evidence converge on mechanisms of psychotic illness.

Brian Fennessy, Liam Cotter, Nicole W Simons, Lora E Liharska, Girish N Nadkarni, Douglas M Ruderfer, Alexander W Charney

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Brian Fennessy *Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA.ORCID http://orcid.org/0000-0002-6222-6190
Liam Cotter *Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA.
Nicole W SimonsIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA.
Lora E LiharskaIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA.
Girish N NadkarniIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA.
Douglas M RuderferCenter for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. douglas.ruderfer@vumc.org.
Alexander W CharneyIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA. alexander.charney@mssm.edu.ORCID http://orcid.org/0000-0001-8135-6858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic and substance-induced forms of psychotic illness afflict millions of people worldwide, and it is largely unknown whether these two forms emerge through the same molecular mechanisms. Though genetic studies have implicated thousands of genes in idiopathic psychotic illnesses (e.g., schizophrenia), consensus is lacking regarding which of these genes are most likely to treat psychotic illness when modulated pharmacologically and, as a result, antipsychotic medications targeting these genes have yet to be developed. Previous studies suggest that one way to determine if a candidate target gene is likely to lead to an effective treatment for a given illness is if the gene is implicated by multiple lines of evidence (e.g., genetic, pharmacologic). Here, pharmacologic, genetic, and clinical data were leveraged to determine if the idiopathic and substance-induced forms of psychotic illness are related to one another through a common set of genes. A set of medications that cause psychotic illness as a side effect ("propsychotics") were identified by analyzing 15 million medication side effects reports from over 100 countries. Gene products targeted by propsychotics overlapped significantly with those targeted by antipsychotics and for many of the overlapping targets propsychotics act through a mechanism that was qualitatively the opposite of the mechanism through which antipsychotics act (e.g., activation vs. inhibition). Propsychotic and antipsychotic target genes were significantly enriched for genes implicated in schizophrenia by rare loss-of-function genetic variation but not for genes implicated in schizophrenia by common genetic variation. Only one gene - GRIN2A, encoding the GluN2A subunit of the NMDA glutamate receptor - was implicated in psychotic illness by propsychotics, rare loss-of-function genetic variation, and common genetic variation. Mining genetic data from a diverse cohort of 30,000 adults treated in a New York City health system, a carrier of a rare loss-of-function variant in GRIN2A with severe psychotic illness was identified with a clinical course notable for psychotic symptoms and cognitive deficits that are not targeted by current antipsychotics. Altogether, this report shows how integrating pharmacologic, genetic, and clinical data from large cohorts can prioritize target genes for novel drug development and align the prioritized targets with specific clinical presentations.

Indexed as

Antipsychotic AgentsPsychoses, Substance-InducedPsychotic DisordersHumansReceptors, N-Methyl-D-AspartateSchizophreniaAntipsychotic AgentsReceptors, N-Methyl-D-Aspartate

Identifiers

PMID40701976
PMCPMC12287348

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.