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ArticleEuropean archives of psychiatry and clinical neuroscience2026

The potential role of ANXA11/ANXA3 protein level ratio in predicting antidepressant treatment outcomes.

Xiangjun Zhou, Yucai Qu, Lingyi Shi, Zhiqiang Du, Qin Zhou, Zhenhe Zhou, Ying Jiang, Haohao Zhu

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Article in European archives of psychiatry and clinical neuroscience, 2026. 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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5 · Who and what money

Authors and funding

8 authors.

Xiangjun Zhou *Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China.
Yucai Qu *Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China.
Lingyi ShiAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China.
Zhiqiang DuAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China.
Qin ZhouAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China.
Zhenhe ZhouAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China.
Ying JiangAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China. jiangying1010@jiangnan.edu.cn.
Haohao ZhuAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China. zhuhh@jiangnan.edu.cn.ORCID http://orcid.org/0000-0003-2352-4854

Funding

National Natural Science Foundation of China 82104244
6 · The paper itself

Abstract

objectiveTo explore the causal relationship between 2,821 plasma protein level ratios and antidepressant treatment response to uncover the potential molecular mechanisms.

methodsWe utilized the protein level ratio dataset from the UK Biobank Pharma Proteomics Project (UKB PPP) and the antidepressant treatment dataset from the Psychiatric Genomics Consortium. We employed Mendelian Randomization (MR) analysis to explore the causal relationships between 2,821 protein level ratios and antidepressant treatment. Additionally, we conducted GO/KEGG analysis to uncover associated biological processes, cellular components, molecular functions, and signaling pathways.

resultsWe found that the protein level ratio of ANXA11/ANXA3 was significantly positively associated with the positive effects of antidepressant treatment(IVW method(FEM): OR = 1.537, 95%CI = 1.263-1.869, p = 1.730E-05, pFDR = 0.049), suggesting its potential as a biomarker for predicting antidepressant efficacy. Moreover, the GO/KEGG analysis provided new insights into the genetic architecture and molecular mechanisms underlying antidepressant efficacy.

conclusionOur results highlight the significance of protein level ratios in the pathophysiological processes of depression and offer novel strategies for the development of personalized treatment approaches. Future studies are warranted to further validate these findings and explore their clinical implications.

Indexed as

Annexin A3AnnexinsAntidepressive AgentsDepressionDepressive DisorderBiomarkersHumansMaleMendelian Randomization AnalysisTreatment OutcomeAnnexin A3AnnexinsAntidepressive AgentsBiomarkersAntidepressant treatmentBioinformatics analysisDepression biomarkersMendelian randomization studyProtein level ratio

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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.