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抑郁症中大脑搏动增强:一项汇总超声队列研究的见解

Elevated brain pulsations in depression: insights from a pooled ultrasound cohort study.

作者信息

Couvreur Ugoline, Gallet Quentin, Campion Jacques-Yves, Brizard Bruno, Réméniéras Jean-Pierre, Gissot Valérie, El-Hage Wissam, Camus Vincent, Gohier Bénédicte, Desmidt Thomas

机构信息

Department of Psychiatry, University Hospital, Angers, France.

Université d'Angers, Angers, France.

出版信息

Interface Focus. 2024 Dec 6;14(6):20240028. doi: 10.1098/rsfs.2024.0028.

Abstract

Excessive brain tissue pulsations (BTP), measured by ultrasound, have been associated with depression and are hypothesized to contribute to brain damage in this population at risk for cerebrovascular lesions. However, previous research has been limited by small sample sizes. To address this issue, our study pooled data from three separate investigations, resulting in the largest cohort of depressed participants with BTP measurements to date. We analysed 123 participants (74 individuals with depression and 49 healthy controls) using ultrasound tissue pulsatility imaging (TPI) to assess resting BTP. Results showed that both MeanBTP and MaxBTP were significantly associated with depression, as determined by multiple linear regression models that included age, sex and blood pressure as covariates. Additionally, we found that age, sex and diastolic blood pressure were significant predictors of BTP. Specifically, BTP decreased with age, was higher in men, and was more strongly predicted by diastolic blood pressure than by systolic blood pressure. In this large cohort, we replicated the association between depression and increased BTP, supporting the notion that elevated BTP may be a potential mechanism underlying brain damage over time. Our findings suggest that TPI could serve as a valuable surrogate marker for brain health in clinical practice.

摘要

通过超声测量的过度脑组织搏动(BTP)与抑郁症有关,并且据推测会导致有脑血管病变风险人群的脑损伤。然而,先前的研究受到样本量小的限制。为了解决这个问题,我们的研究汇总了三项独立调查的数据,形成了迄今为止最大的有BTP测量值的抑郁症参与者队列。我们使用超声组织搏动成像(TPI)分析了123名参与者(74名抑郁症患者和49名健康对照),以评估静息BTP。结果表明,通过包含年龄、性别和血压作为协变量的多元线性回归模型确定,平均BTP(MeanBTP)和最大BTP(MaxBTP)均与抑郁症显著相关。此外,我们发现年龄、性别和舒张压是BTP的显著预测因素。具体而言,BTP随年龄增长而降低,男性更高,并且舒张压比收缩压对BTP的预测更强。在这个大型队列中,我们重复了抑郁症与BTP升高之间的关联,支持了随着时间推移BTP升高可能是脑损伤潜在机制的观点。我们的研究结果表明,TPI可以作为临床实践中脑健康的有价值替代标志物。

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