Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders.

IF 5.9 2区 医学 Q1 PSYCHIATRY Psychological Medicine Pub Date : 2024-05-28 DOI:10.1017/S0033291724000886
Junjie Zheng, Xiaofen Zong, Lili Tang, Huiling Guo, Pengfei Zhao, Fay Y Womer, Xizhe Zhang, Yanqing Tang, Fei Wang
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Abstract

Background: Mood disorders are characterized by great heterogeneity in clinical manifestation. Uncovering such heterogeneity using neuroimaging-based individual biomarkers, clinical behaviors, and genetic risks, might contribute to elucidating the etiology of these diseases and support precision medicine.

Methods: We recruited 174 drug-naïve and drug-free patients with major depressive disorder and bipolar disorder, as well as 404 healthy controls. T1 MRI imaging data, clinical symptoms, and neurocognitive assessments, and genetics were obtained and analyzed. We applied regional gray matter volumes (GMV) and quantile normative modeling to create maturation curves, and then calculated individual deviations to identify subtypes within the patients using hierarchical clustering. We compared the between-subtype differences in GMV deviations, clinical behaviors, cell-specific transcriptomic associations, and polygenic risk scores. We also validated the GMV deviations based subtyping analysis in a replication cohort.

Results: Two subtypes emerged: subtype 1, characterized by increased GMV deviations in the frontal cortex, cognitive impairment, a higher genetic risk for Alzheimer's disease, and transcriptionally associated with Alzheimer's disease pathways, oligodendrocytes, and endothelial cells; and subtype 2, displaying globally decreased GMV deviations, more severe depressive symptoms, increased genetic vulnerability to major depressive disorder and transcriptionally related to microglia and inhibitory neurons. The distinct patterns of GMV deviations in the frontal, cingulate, and primary motor cortices between subtypes were shown to be replicable.

Conclusions: Our current results provide vital links between MRI-derived phenotypes, spatial transcriptome, genetic vulnerability, and clinical manifestation, and uncover the heterogeneity of mood disorders in biological and behavioral terms.

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描述情绪障碍大脑成熟亚型的不同成像表型、临床表现和遗传易感性。
背景:情绪障碍的临床表现具有很大的异质性。利用基于神经影像学的个体生物标志物、临床表现和遗传风险来揭示这种异质性,可能有助于阐明这些疾病的病因并支持精准医疗:我们招募了 174 名未服药和未服药的重度抑郁障碍和双相情感障碍患者,以及 404 名健康对照者。我们获取并分析了T1磁共振成像数据、临床症状、神经认知评估和遗传学数据。我们应用区域灰质体积(GMV)和量子常模建立成熟曲线,然后计算个体偏差,利用分层聚类确定患者的亚型。我们比较了亚型之间的 GMV 偏差差异、临床表现、细胞特异性转录组关联和多基因风险评分。我们还在一个复制队列中验证了基于 GMV 偏差的亚型分析:结果:出现了两种亚型:亚型1的特征是额叶皮层的GMV偏离增加、认知障碍、阿尔茨海默病遗传风险较高,转录与阿尔茨海默病通路、少突胶质细胞和内皮细胞相关;亚型2的特征是全球GMV偏离减少、抑郁症状更严重、重度抑郁症遗传易感性增加,转录与小胶质细胞和抑制性神经元相关。亚型之间额叶、扣带回和初级运动皮层的GMV偏离的不同模式被证明是可复制的:我们目前的研究结果提供了核磁共振成像衍生表型、空间转录组、遗传易感性和临床表现之间的重要联系,并揭示了情绪障碍在生物学和行为学方面的异质性。
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来源期刊
Psychological Medicine
Psychological Medicine 医学-精神病学
CiteScore
11.30
自引率
4.30%
发文量
711
审稿时长
3-6 weeks
期刊介绍: Now in its fifth decade of publication, Psychological Medicine is a leading international journal in the fields of psychiatry, related aspects of psychology and basic sciences. From 2014, there are 16 issues a year, each featuring original articles reporting key research being undertaken worldwide, together with shorter editorials by distinguished scholars and an important book review section. The journal''s success is clearly demonstrated by a consistently high impact factor.
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