Evidence map›Paper›PMID 41768366›Full record

ArticleMedComm2026

Cerebrospinal Fluid Genetics Enhance Risk Stratification in Bipolar Disorder.

Yu Feng, Xiaonan Guo, Peng Huang, Xiaolong Ji, Ningning Jia, Sheng Yang, Shaohua Hu

Abstract read
In one paragraph

Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yu FengDepartment of Psychiatry the First Affiliated Hospital Zhejiang University School of Medicine Zhejiang China.
Xiaonan GuoDepartment of Psychiatry the First Affiliated Hospital Zhejiang University School of Medicine Zhejiang China.
Peng HuangDepartment of Epidemiology Centre for Global Health School of Public Health National Vaccine Innovation Platform Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province Nanjing Medical University Nanjing China.
Xiaolong JiDepartment of Epidemiology Centre for Global Health School of Public Health National Vaccine Innovation Platform Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province Nanjing Medical University Nanjing China.
Ningning JiaLiangzhu Laboratory Hangzhou China.
Sheng YangDivision of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh University of Pittsburgh Pittsburgh Pennsylvania USA.
Shaohua HuDepartment of Psychiatry the First Affiliated Hospital Zhejiang University School of Medicine Zhejiang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) research confronts challenges: blood-based biomarkers offer limited insights into neurobiology, while cerebrospinal fluid (CSF) collection is clinically unusual. Linking genetic susceptibility to pathophysiology remains crucial for biologically informed risk stratification. We integrated cohort data and genome-wide association study (GWAS) summary statistics: the largest BD meta-analysis, CSF multi-omics profiles including 3107 proteomic and 2602 metabolomic participants, and a validation cohort of 247,834 UK Biobank participants. Unsupervised clustering revealed four single-nucleotide variant (SNV) clusters: metabolic-imbalance, metabolic-active, human leukocyte antigen (HLA)+immune, and HLA-immune. These clusters exhibited distinct clinical features, with the metabolic-imbalance cluster showing multi-directional associations with 21 psychiatric traits, while the HLA-immune cluster was associated with emotional instability in BD patients (odds ratio [OR] = 1.14,

Indexed as

bipolar disordercerebrospinal fluidGWASrisk stratification

Identifiers

PMID41768366
PMCPMC12946660

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.