Evidence map›Paper›PMID 39792340›Full record

ArticleCell biology and toxicology2025

Proteomic patterns associated with ketamine response in major depressive disorders.

Nan Zhou, Xiaolei Shi, Runhua Wang, Chengyu Wang, Xiaofeng Lan, Guanxi Liu, Weicheng Li, Yanling Zhou, Yuping Ning

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Article in Cell biology and toxicology, 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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1 · What the graph read from it

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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

9 authors.

Nan ZhouResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Xiaolei ShiResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Runhua WangResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Chengyu WangResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Xiaofeng LanResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Guanxi LiuResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Weicheng LiResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Yanling ZhouResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China. zhouylivy@aliyun.com.
Yuping NingResearch Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China. ningjeny@126.com.

Funding

Research Capacity Enhancement Project of Guangzhou Medical University 50010724-1158
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is characterized by persistent feelings of sadness and loss of interest. Ketamine has been widely used to treat MDD owing to its rapid effect in relieving depressive symptoms. Importantly, not all patients respond to ketamine treatment. Identifying sub-populations who will benefit from ketamine, as well as those who may not, prior to treatment initiation, would significantly advance precision medicine in patients with MDD.

methodsHere, we used mass spectrometry-based plasma proteomics to analyze matched pre- and post-ketamine treatment samples from a cohort of 30 MDD patients whose treatment outcomes and demographic and clinical characteristics were considered.

resultsKetamine responders and non-responders were identified according to their individual outcomes after two weeks of treatment. We analyzed proteomic alterations in post-treatment samples from responders and non-responders and identified a collection of six proteins pivotal to the antidepressive effect of ketamine. Subsequent co-regulation analysis revealed that pathways related to immune response were involved in ketamine response. By comparing the proteomic profiles of samples from the same individuals at the pre- and post-treatment time points, dynamic proteomic rearrangements induced by ketamine revealed that immune-related processes were activated in association with its antidepressive effect. Furthermore, receiver operating characteristic curve analysis of pre-treatment samples revealed three proteins with strong predictive performance in determining the response of patients to ketamine before receiving treatment.

conclusionsThese findings provide valuable knowledge about ketamine response, which will ultimately lead to more personalized and effective treatments for patients.

trial registrationThe study was registered in the Chinese Clinical Trials Registry (ChiCTR-OOC-17012239) on May 26, 2017.

Indexed as

Antidepressive AgentsKetamineMajor Depressive DisorderProteomicsAdultFemaleHumansMaleMiddle AgedTreatment OutcomeAntidepressive AgentsKetamineBiomarkersImmune responseKetamineMDDPlasma Proteomics

Identifiers

PMID39792340
PMCPMC11723896

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.