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产后抑郁症伴和不伴焦虑默认模式网络功能异常的分子基础。

Molecular basis underlying default mode network functional abnormalities in postpartum depression with and without anxiety.

机构信息

Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.

Medical School, Kunming University of Science and Technology, Kunming, China.

出版信息

Hum Brain Mapp. 2024 Apr;45(5):e26657. doi: 10.1002/hbm.26657.

Abstract

Although Postpartum depression (PPD) and PPD with anxiety (PPD-A) have been well characterized as functional disruptions within or between multiple brain systems, however, how to quantitatively delineate brain functional system irregularity and the molecular basis of functional abnormalities in PPD and PPD-A remains unclear. Here, brain sample entropy (SampEn), resting-state functional connectivity (RSFC), transcriptomic and neurotransmitter density data were used to investigate brain functional system irregularity, functional connectivity abnormalities and associated molecular basis for PPD and PPD-A. PPD-A exhibited higher SampEn in medial prefrontal cortex (MPFC) and posterior cingulate cortex (PPC) than healthy postnatal women (HPW) and PPD while PPD showed lower SampEn in PPC compared to HPW and PPD-A. The functional connectivity analysis with MPFC and PPC as seed areas revealed decreased functional couplings between PCC and paracentral lobule and between MPFC and angular gyrus in PPD compared to both PPD-A and HPW. Moreover, abnormal SampEn and functional connectivity were associated with estrogenic level and clinical symptoms load. Importantly, spatial association analyses between functional changes and transcriptome and neurotransmitter density maps revealed that these functional changes were primarily associated with synaptic signaling, neuron projection, neurotransmitter level regulation, amino acid metabolism, cyclic adenosine monophosphate (cAMP) signaling pathways, and neurotransmitters of 5-hydroxytryptamine (5-HT), norepinephrine, glutamate, dopamine and so on. These results reveal abnormal brain entropy and functional connectivities primarily in default mode network (DMN) and link these changes to transcriptome and neurotransmitters to establish the molecular basis for PPD and PPD-A for the first time. Our findings highlight the important role of DMN in neuropathology of PPD and PPD-A.

摘要

虽然产后抑郁症 (PPD) 和伴焦虑的产后抑郁症 (PPD-A) 已被很好地描述为多个脑系统内或之间的功能障碍,但是如何定量描绘脑功能系统的不规则性以及 PPD 和 PPD-A 中功能异常的分子基础仍然不清楚。在这里,使用脑样本熵 (SampEn)、静息态功能连接 (RSFC)、转录组和神经递质密度数据来研究 PPD 和 PPD-A 的脑功能系统不规则性、功能连接异常以及相关的分子基础。与健康产后妇女 (HPW) 和 PPD 相比,PPD-A 的内侧前额叶皮质 (MPFC) 和后扣带回皮质 (PPC) 的 SampEn 更高,而 PPD 与 HPW 和 PPD-A 相比,PPC 的 SampEn 更低。以 MPFC 和 PPC 作为种子区域的功能连接分析显示,与 PPD-A 和 HPW 相比,PPD 中 PCC 与旁中央小叶以及 MPFC 与角回之间的功能连接减少。此外,异常的 SampEn 和功能连接与雌激素水平和临床症状负荷有关。重要的是,功能变化与转录组和神经递质密度图之间的空间关联分析表明,这些功能变化主要与突触信号、神经元投射、神经递质水平调节、氨基酸代谢、环磷酸腺苷 (cAMP) 信号通路以及 5-羟色胺 (5-HT)、去甲肾上腺素、谷氨酸、多巴胺等神经递质有关。这些结果揭示了默认模式网络 (DMN) 中异常的脑熵和功能连接,将这些变化与转录组和神经递质联系起来,首次为 PPD 和 PPD-A 建立了分子基础。我们的研究结果强调了 DMN 在 PPD 和 PPD-A 神经病理学中的重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4198/10973776/c7c16d709bd8/HBM-45-e26657-g001.jpg

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