GENETIC UNDERPINNINGS OF TREATMENT-RESISTANT DEPRESSION: INSIGHTS FROM THE PSYCHSTRATA CONSORTIUM

IF 6.7 2区 医学 Q1 CLINICAL NEUROLOGY
Julia Kraft , Chiara Fabbri , Eleni Friligkou , Brittany Mitchell , Kristi Krebs , Joanna Biernacka , Julia Sealock , Mikael Landén , Danyang Li , deCODE Genetics Team , FinnGen consortium , Juan De La Hoz , FinnGen consortium , Yingzhe Zhang , Elise Koch , Bernhard T. Baune , Stephan Ripke
{"title":"GENETIC UNDERPINNINGS OF TREATMENT-RESISTANT DEPRESSION: INSIGHTS FROM THE PSYCHSTRATA CONSORTIUM","authors":"Julia Kraft ,&nbsp;Chiara Fabbri ,&nbsp;Eleni Friligkou ,&nbsp;Brittany Mitchell ,&nbsp;Kristi Krebs ,&nbsp;Joanna Biernacka ,&nbsp;Julia Sealock ,&nbsp;Mikael Landén ,&nbsp;Danyang Li ,&nbsp;deCODE Genetics Team ,&nbsp;FinnGen consortium ,&nbsp;Juan De La Hoz ,&nbsp;FinnGen consortium ,&nbsp;Yingzhe Zhang ,&nbsp;Elise Koch ,&nbsp;Bernhard T. Baune ,&nbsp;Stephan Ripke","doi":"10.1016/j.euroneuro.2025.08.535","DOIUrl":null,"url":null,"abstract":"<div><div>Depressive Symptoms in Major Depressive Disorder (MDD) are primarily treated with antidepressant medication. However, a substantial proportion of patients do not achieve a meaningful symptom improvement, even after multiple medication trials, posing a major clinical and public health challenge. Investigating the genetic underpinnings of treatment-resistant depression (TRD) may potentially reveal biological components that contribute to poor treatment outcomes.</div><div>Through the PsychSTRATA consortium, we aim to investigate the biological basis of treatment resistance across major psychiatric disorders, including MDD, bipolar disorder, and schizophrenia. In this study, we focus specifically on the genetic basis of TRD within MDD by performing a genome-wide associations study comparing individuals with and without TRD. In collaboration with many international sites and the antidepressant working group of the PGC, we collated and harmonized data from clinical studies, large-scale biobanks, and population-based cohorts, using electronic healthcare records (EHR), structured clinical interviews, and self-report questionnaires to define TRD.</div><div>Analyses are currently ongoing and leverage data from ∼265,000 individuals with MDD, of whom ∼39,500 were classified as TRD and ∼225,500 as non-TRD. Planned analyses include a GWAS meta-analysis, SNP-based heritability estimation, polygenic risk scoring, and comparisons across definitions to characterize the genetic architecture of TRD and validate genetic findings.</div><div>Our results will lead to an improved understanding of the pharmacogenetic mechanisms underlying TRD and help to identify both disorder-specific and shared genetic contributions with bipolar disorder and schizophrenia. Ultimately, this may inform the development of targeted or novel pharmacological strategies for individuals with treatment resistance.</div></div>","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"99 ","pages":"Page 39"},"PeriodicalIF":6.7000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Neuropsychopharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924977X25006935","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Depressive Symptoms in Major Depressive Disorder (MDD) are primarily treated with antidepressant medication. However, a substantial proportion of patients do not achieve a meaningful symptom improvement, even after multiple medication trials, posing a major clinical and public health challenge. Investigating the genetic underpinnings of treatment-resistant depression (TRD) may potentially reveal biological components that contribute to poor treatment outcomes.
Through the PsychSTRATA consortium, we aim to investigate the biological basis of treatment resistance across major psychiatric disorders, including MDD, bipolar disorder, and schizophrenia. In this study, we focus specifically on the genetic basis of TRD within MDD by performing a genome-wide associations study comparing individuals with and without TRD. In collaboration with many international sites and the antidepressant working group of the PGC, we collated and harmonized data from clinical studies, large-scale biobanks, and population-based cohorts, using electronic healthcare records (EHR), structured clinical interviews, and self-report questionnaires to define TRD.
Analyses are currently ongoing and leverage data from ∼265,000 individuals with MDD, of whom ∼39,500 were classified as TRD and ∼225,500 as non-TRD. Planned analyses include a GWAS meta-analysis, SNP-based heritability estimation, polygenic risk scoring, and comparisons across definitions to characterize the genetic architecture of TRD and validate genetic findings.
Our results will lead to an improved understanding of the pharmacogenetic mechanisms underlying TRD and help to identify both disorder-specific and shared genetic contributions with bipolar disorder and schizophrenia. Ultimately, this may inform the development of targeted or novel pharmacological strategies for individuals with treatment resistance.
难治性抑郁症的遗传基础:来自精神病协会的见解
重度抑郁障碍(MDD)的抑郁症状主要用抗抑郁药物治疗。然而,即使经过多次药物试验,仍有相当比例的患者没有取得有意义的症状改善,这对临床和公共卫生构成了重大挑战。研究难治性抑郁症(TRD)的遗传基础可能潜在地揭示导致治疗效果不佳的生物成分。通过PsychSTRATA联盟,我们的目标是研究主要精神疾病治疗耐药的生物学基础,包括重度抑郁症、双相情感障碍和精神分裂症。在这项研究中,我们通过对患有和不患有TRD的个体进行全基因组关联研究,特别关注MDD中TRD的遗传基础。我们与许多国际站点和PGC抗抑郁药工作组合作,使用电子医疗记录(EHR)、结构化临床访谈和自我报告问卷,整理和协调了来自临床研究、大型生物库和基于人群的队列的数据,以定义TRD。目前正在进行分析,并利用来自约265,000名重度抑郁症患者的数据,其中约39,500人被归类为TRD,约225,500人被归类为非TRD。计划的分析包括GWAS荟萃分析,基于snp的遗传力估计,多基因风险评分,以及跨定义的比较,以表征TRD的遗传结构并验证遗传发现。我们的研究结果将有助于提高对TRD的药物遗传机制的理解,并有助于确定双相情感障碍和精神分裂症的疾病特异性和共享遗传贡献。最终,这可能会为有治疗耐药性的个体提供有针对性的或新的药理学策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
European Neuropsychopharmacology
European Neuropsychopharmacology 医学-精神病学
CiteScore
10.30
自引率
5.40%
发文量
730
审稿时长
41 days
期刊介绍: European Neuropsychopharmacology is the official publication of the European College of Neuropsychopharmacology (ECNP). In accordance with the mission of the College, the journal focuses on clinical and basic science contributions that advance our understanding of brain function and human behaviour and enable translation into improved treatments and enhanced public health impact in psychiatry. Recent years have been characterized by exciting advances in basic knowledge and available experimental techniques in neuroscience and genomics. However, clinical translation of these findings has not been as rapid. The journal aims to narrow this gap by promoting findings that are expected to have a major impact on both our understanding of the biological bases of mental disorders and the development and improvement of treatments, ideally paving the way for prevention and recovery.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信