抑郁症患者脑血流量失调而非灰质体积与血液中炎症和脂质标记物的相关性更强

IF 3.4 2区 医学 Q2 NEUROIMAGING Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103581
Lijun Kang , Wei Wang , Zhaowen Nie , Qian Gong , Lihua Yao , Dan Xiang , Nan Zhang , Ning Tu , Hongyan Feng , Xiaofen Zong , Hanping Bai , Gaohua Wang , Fei Wang , Lihong Bu , Zhongchun Liu
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引用次数: 0

摘要

动脉自旋标记(ASL)可用于检测被认为对重度抑郁症(MDD)有重要影响的多个脑区的灌注差异。然而,脑血流(CBF)预测MDD的潜力及其与血脂水平和免疫标记物之间的相关性仍不清楚,而血脂水平和免疫标记物与MDD和脑功能变化密切相关。451 人中有 298 名 MDD 患者和 133 名健康对照者,他们在一个时间点接受了动脉自旋标记磁共振成像和高分辨率 T1 加权结构扫描。一部分 MDD 患者还提供了血液样本,用于分析血脂和免疫标记物。我们进行了 CBF 病例对照比较、随机森林模型构建和探索性相关分析。此外,我们还调查了同一样本中灰质体积(GMV)、血脂和免疫系统之间的关系,以评估 CBF 和 GMV 的差异。我们发现,在 MDD 患者和 HCs 之间,左侧顶叶下回但边际上回和角回存在显著差异(体素范围内 P < 0.001,群组范围内 FWE 校正)。而双侧颞下回(ITG)、右侧颞中回和左侧中央前回的 CBF 可预测 MDD(随机森林模型的接收者操作特征曲线下面积为 0.717),且 CBF 是比 GMV 更灵敏的 MDD 预测因子。左侧 ITG 与免疫球蛋白 G(r = 0.260)和 CD4 计数(r = 0.283)呈正相关趋势。右侧 ITG 与总胆固醇(r = -0.249)和肿瘤坏死因子-α(r = -0.295)呈相关趋势。免疫力和血脂与 CBF 的变化密切相关,其中免疫力可能发挥更大的作用。因此,CBF、血浆脂质和免疫指数之间的相互作用可能代表了 MDD 的病理生理机制。目前的研究结果为定向调节 MDD 中的 CBF 或免疫特性提供了证据。
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Dysregulated cerebral blood flow, rather than gray matter Volume, exhibits stronger correlations with blood inflammatory and lipid markers in depression

Arterial spin labeling (ASL) can be used to detect differences in perfusion for multiple brain regions thought to be important in major depressive disorder (MDD). However, the potential of cerebral blood flow (CBF) to predict MDD and its correlations between the blood lipid levels and immune markers, which are closely related to MDD and brain function change, remain unclear. The 451 individuals − 298 with MDD and 133 healthy controls who underwent MRI at a single time point with arterial spin labelling and a high resolution T1-weighted structural scan. A proportion of MDD also provided blood samples for analysis of lipid and immune markers. We performed CBF case-control comparisons, random forest model construction, and exploratory correlation analyses. Moreover, we investigated the relationship between gray matter volume (GMV), blood lipids, and the immune system within the same sample to assess the differences in CBF and GMV. We found that the left inferior parietal but supramarginal and angular gyrus were significantly different between the MDD patients and HCs (voxel-wise P < 0.001, cluster-wise FWE correction). And bilateral inferior temporal (ITG), right middle temporal gyrus and left precentral gyrus CBF predict MDD (the area under the receiver operating characteristic curve of the random forest model is 0.717) and that CBF is a more sensitive predictor of MDD than GMV. The left ITG showed a positive correlation trend with immunoglobulin G (r = 0.260) and CD4 counts (r = 0.283). The right ITG showed a correlation trend with Total Cholesterol (r = −0.249) and tumour necrosis factor-alpha (r = −0.295). Immunity and lipids were closely related to CBF change, with the immunity relationship potentially playing a greater role. The interactions between CBF, plasma lipids and immune index could therefore represent an MDD pathophysiological mechanism. The current findings provide evidence for targeted regulation of CBF or immune properties in MDD.

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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
期刊最新文献
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