Evidence map›Paper›PMID 42317215›Full record

ArticleHuman mutation2026

Integrative Multiomics Analysis Identifies DKK3 as a Germline Susceptibility-Related Regulator of Risperidone Response and Metabolic Risk in Schizophrenia.

Xiaoyun Zhang, Jingjing Li, Yao Sun, Gangrui Hei, Xueqin Song

Abstract read
In one paragraph

Article in Human mutation, 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

5 authors.

Xiaoyun ZhangDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, zzu.edu.cn.ORCID https://orcid.org/0009-0002-3241-4921
Jingjing LiDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, zzu.edu.cn.ORCID https://orcid.org/0000-0002-0821-6362
Yao SunDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, zzu.edu.cn.ORCID https://orcid.org/0009-0008-1535-6305
Gangrui HeiDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, zzu.edu.cn.ORCID https://orcid.org/0009-0006-5790-6446
Xueqin SongDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, zzu.edu.cn.ORCID https://orcid.org/0000-0001-9830-7155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Risperidone is a widely used second-generation antipsychotic for schizophrenia, known for its clinical efficacy but also for long-term metabolic side effects, including weight gain and glucose-lipid dysregulation. Although its therapeutic effects have been well characterized, the molecular basis linking its benefits and adverse metabolic outcomes remains poorly understood. Methods: To identify genes mediating both therapeutic and metabolic responses to risperidone, we conducted an integrative multiomics study combining large-scale genetic association data with transcriptomic and epigenetic profiling. Differentially expressed genes following risperidone exposure were intersected with schizophrenia- and metabolism-associated loci using summary data-based Mendelian randomization analysis based on GWAS summary statistics and eQTL data to uncover germline variants, germline susceptibility, and potential germline alteration. DNA methylation profiling from patient-derived peripheral blood mononuclear cells (PBMCs) was used for regulatory validation. Results: We identified 120 genes significantly modulated by risperidone, among which DKK3, EEF1A1, and PRKAA1 were causally associated with schizophrenia and metabolic traits through germline mutation-related regulatory evidence. Notably, DKK3 was downregulated after risperidone exposure and exhibited promoter hypermethylation, consistent with epigenetic regulation interacting with germline alteration and germline susceptibility. Functional correlation analysis revealed that lower DKK3 expression was associated with glycolipid dysregulation, supporting its role as a molecular bridge between antipsychotic action and metabolic liability. Conclusion: Our findings identify DKK3 as a germline mutation-related and epigenetically regulated candidate that bridges risperidone's neuropsychiatric benefits with its metabolic risks. This work offers novel insight into the shared molecular basis of antipsychotic response and side effects and suggests DKK3 as a promising biomarker for personalized treatment strategies in schizophrenia informed by germline regulatory variation and potential germline alteration.

Indexed as

Genetic Predisposition to DiseaseGerm-Line MutationIntercellular Signaling Peptides and ProteinsRisperidoneSchizophreniaAntipsychotic AgentsDNA MethylationEpigenesis, GeneticGene Expression ProfilingGenome-Wide Association StudyHumansMultiomicsPolymorphism, Single NucleotideQuantitative Trait LociAntipsychotic AgentsIntercellular Signaling Peptides and ProteinsRisperidoneDKK3germline mutationmetabolic dysregulationrisperidoneschizophrenia

Identifiers

PMID42317215
PMCPMC13273393

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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.