Evidence map›Paper›PMID 40072421›Full record

ArticleJAMA psychiatry2025

Circulating Blood-Based Proteins in Psychopathology and Cognition: A Mendelian Randomization Study.

Upasana Bhattacharyya, Jibin John, Max Lam, Jonah Fisher, Benjamin Sun, Denis Baird, Stephen Burgess, Chia-Yen Chen, Todd Lencz

Abstract read
In one paragraph

Article in JAMA psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Schizophrenia: from mechanism to therapy.Science China. Life sciences · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Upasana BhattacharyyaInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York.
Jibin JohnInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York.
Max LamInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York.
Jonah FisherBiogen Inc, Cambridge, Massachusetts.
Benjamin SunBiogen Inc, Cambridge, Massachusetts.
Denis BairdBiogen Inc, Cambridge, Massachusetts.
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
Chia-Yen ChenBiogen Inc, Cambridge, Massachusetts.
Todd LenczInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York.

Funding

Cognitive Genomics as a Window on Neurodevelopment and PsychopathologyR01MH117646 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI TODD LENCZ · 2018 to 2026
$4.7M
NIMH NIH HHS R01 MH117646Wellcome Trust 225790
6 · The paper itself

Abstract

Importance: Peripheral (blood-based) biomarkers for psychiatric illness could benefit diagnosis and treatment, but research to date has typically been low throughput, and traditional case-control studies are subject to potential confounds of treatment and other exposures. Large-scale 2-sample mendelian randomization (MR) can examine the potentially causal impact of circulating proteins on neuropsychiatric phenotypes without these confounds. Objective: To identify circulating proteins associated with risk for schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) as well as cognitive task performance (CTP). Design, Setting, and Participants: In a 2-sample MR design, significant proteomic quantitative trait loci were used as candidate instruments, obtained from 2 large-scale plasma proteomics datasets: the UK Biobank Pharma Proteomics Project (2923 proteins per 34 557 UK individuals) and deCODE Genetics (4719 proteins per 35 559 Icelandic individuals). Data analysis was performed from November 2023 to November 2024. Exposure: Genetic influence on circulating levels of proteins in plasma. Main Outcomes and Measures: Outcome measures were summary statistics drawn from recent large-scale genome-wide association studies for SCZ (67 323 cases and 93 456 controls), BD (40 463 cases and 313 436 controls), MDD (166 773 cases and 507 679 controls), and CTP (215 333 individuals). MR was carried out for each phenotype, and proteins that showed statistically significant (Bonferroni-corrected P < .05) associations from MR analysis were used for pathway, protein-protein interaction, drug target enrichment, and potential druggability analysis for each outcome phenotype separately. Results: MR analysis revealed 113 Bonferroni-corrected associations (46 novel) involving 91 proteins across the 4 outcome phenotypes. Immune-related proteins, such as interleukins and complement factors, showed pleiotropic effects across multiple outcome phenotypes. Drug target enrichment analysis provided support for repurposing of anti-inflammatory agents for SCZ, amantadine for BD, retinoic acid for MDD, and duloxetine for CTP. Conclusions and Relevance: Identifying potentially causal effects of circulating proteins on neuropsychiatric phenotypes suggests potential biomarkers and offers insights for the development of innovative therapeutic strategies. The study also reveals pleiotropic effects of many proteins across different phenotypes, indicating shared etiology among serious psychiatric conditions and cognition.

Indexed as

Bipolar DisorderBlood ProteinsCognitionMajor Depressive DisorderSchizophreniaBiomarkersGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisProteomicsBiomarkersBlood Proteins

Identifiers

PMID40072421
PMCPMC11904806

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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 OpenQuestion graph.