Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia.

IF 8.3 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMC Medicine Pub Date : 2025-01-23 DOI:10.1186/s12916-025-03850-4
Huiling Guo, Yao Xiao, Shuai Dong, Jingyu Yang, Pengfei Zhao, Tongtong Zhao, Aoling Cai, Lili Tang, Juan Liu, Hui Wang, Ruifang Hua, Rongxun Liu, Yange Wei, Dandan Sun, Zhongchun Liu, Mingrui Xia, Yong He, Yankun Wu, Tianmei Si, Fay Y Womer, Fuqiang Xu, Yanqing Tang, Jie Wang, Weixiong Zhang, Xizhe Zhang, Fei Wang
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Abstract

Background: Intermediate phenotypes, such as characteristic neuroimaging patterns, offer unique insights into the genetic and stress-related underpinnings of neuropsychiatric disorders like depression. This study aimed to identify neuroimaging intermediate phenotypes associated with depression, bridging etiological factors to behavioral manifestations and connecting insights from animal models to diverse clinical populations.

Methods: We analyzed datasets from both rodents and humans. The rodent studies included a genetic model (P11 knockout) and an environmental stress model (chronic unpredictable mild stress), while the human data comprised 748 participants from three cohorts. Using the amplitude of low-frequency fluctuations, we identified neuroimaging patterns in rodent models. We then applied a machine-learning approach to cluster neuroimaging subtypes of depression. To assess the genetic predispositions and stress-related changes associated with these subtypes, we analyzed genotype and metabolite data. Linear regression was employed to determine which neuroimaging features predicted core depression symptoms across species.

Results: The genetic and environmental stress models exhibited distinct neuroimaging patterns in subcortical and sensorimotor regions. Consistent patterns emerged in two neuroimaging subtypes identified across three independent depressed cohorts. The subtype resembling P11 knockout demonstrated higher genetic susceptibility, with enriched expression of risk genes in brain tissues and abnormal metabolites linked to tryptophan metabolism. In contrast, the stress animal-like subtype did not show changes in genetic risk scores but exhibited enriched risk gene expression in somatic and endocrine tissues, along with mitochondrial dysfunction in the antioxidant stress system. Notably, these distinct subcortical-sensorimotor neuroimaging patterns predicted anhedonia, a core symptom of depression, in both rodent models and depressed subtypes.

Conclusions: This cross-species validation suggests that these neuroimaging patterns may serve as robust intermediate phenotypes, linking etiology to anhedonia and facilitating the translation of findings from animal models to humans with depression and other psychiatric disorders.

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桥接动物模型和人类:神经影像学作为连接遗传或应激因素与快感缺乏的中间表型。
背景:中间表型,如特征性神经成像模式,为抑郁症等神经精神疾病的遗传和压力相关基础提供了独特的见解。本研究旨在确定与抑郁症相关的神经影像学中间表型,将病因因素与行为表现联系起来,并将动物模型与不同临床人群的见解联系起来。方法:我们分析了啮齿动物和人类的数据集。啮齿动物研究包括遗传模型(P11敲除)和环境压力模型(慢性不可预测的轻度压力),而人类数据包括来自三个队列的748名参与者。利用低频波动的幅度,我们确定了啮齿动物模型的神经成像模式。然后,我们应用机器学习方法对抑郁症的神经成像亚型进行聚类。为了评估与这些亚型相关的遗传易感性和应激相关变化,我们分析了基因型和代谢物数据。采用线性回归来确定哪些神经影像学特征可以预测跨物种的核心抑郁症状。结果:遗传和环境应激模型在皮层下和感觉运动区表现出不同的神经影像学模式。在三个独立的抑郁症队列中发现的两种神经影像学亚型中出现了一致的模式。与P11基因敲除相似的亚型表现出更高的遗传易感性,脑组织中风险基因表达丰富,与色氨酸代谢相关的代谢产物异常。相比之下,应激动物样亚型没有表现出遗传风险评分的变化,但在体细胞和内分泌组织中表现出丰富的风险基因表达,并在抗氧化应激系统中出现线粒体功能障碍。值得注意的是,在啮齿动物模型和抑郁症亚型中,这些不同的皮层下感觉运动神经成像模式预测了抑郁症的核心症状快感缺乏症。结论:这种跨物种验证表明,这些神经成像模式可能作为稳健的中间表型,将病因与快感缺乏联系起来,并促进将动物模型的发现转化为抑郁症和其他精神疾病的人类。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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