Keren Wang, Yuchuan Fu, Lan Li, Lingfeng Zhang, Mei Huang, Weihao Yan, Xiaoou Shan, Zhihan Yan, Yi Lu
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The fusion independent component analysis was applied to integrate multimodal brain data (high-resolution structural, diffusion tensor, and resting-state functional MRI) covering regional homogeneity (ReHo), amplitude of low frequency fluctuations (ALFF), and white matter fractional anisotropy (FA). Gut microbiome diversity and metabolites were analyzed using 16S sequencing and proton nuclear magnetic resonance (1H-NMR). Associations between multimodal neuroimaging and cognition were assessed using moderation analysis.</p><p><strong>Results: </strong>Six independent components (IC) of ReHo, ALFF, and FA differed significantly between GHD and ISS patients, with three functional components linked to the processing speed index. GHD individuals showed higher levels of acetate, nicotinate, and lysine in microbiota metabolism. Higher alpha diversity in GHD strengthened connections between ReHo-IC1, ReHo-IC5, ALFF-IC1, and the processing speed index, while increasing agathobacter levels in ISS weakened the link between ALFF-IC1 and the speech comprehension index.</p><p><strong>Conclusions: </strong>Our findings uncover differing brain structure and functional fusion in GHD, alongside microbiota metabolism of short-chain fatty acids. 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引用次数: 0
摘要
背景以往对生长激素缺乏症(GHD)的脑部研究通常使用单模式神经影像学,而忽略了多模式数据所捕捉到的复杂性。生长激素会影响 GHD 患者的肠道微生物群和新陈代谢。然而,从肠道-大脑轴的角度来看,GHD 大脑发育异常与微生物群改变之间的关系仍不清楚。我们的最终目标是揭示 GHD 和特发性矮身材(ISS)患者肠道-大脑轴(GBA)异常的潜在表现。方法 研究对象包括 23 名 GHD 儿童和 25 名 ISS 儿童。对多模态脑数据(高分辨率结构、弥散张量和静息状态功能磁共振成像)进行了融合独立成分分析,涵盖区域均匀性(ReHo)、低频波动幅度(ALFF)和白质分数各向异性(FA)。利用 16S 测序和质子核磁共振(1H-NMR)分析了肠道微生物组的多样性和代谢物。多模态神经影像学与认知之间的关联采用调节分析法进行评估。结果 GHD 和 ISS 患者的六个成分(ReHo、ALFF 和 FA)存在显著差异,其中三个功能成分与处理速度有关。GHD患者微生物群代谢中的醋酸水平较高。GHD患者体内较高的α多样性加强了ReHo-IC1、ReHo-IC5、ALFF-IC1与处理速度之间的联系,而ISS患者体内较高的Agathobacter水平则削弱了ALFF-IC1与言语理解能力之间的联系。结论 我们的研究结果揭示了 GHD 患者不同的大脑结构和功能融合,以及微生物群对短链脂肪酸的代谢。此外,微生物群还影响神经影像学和认知之间的联系,为了解 GHD 和 ISS 中不同的肠脑轴模式提供了见解,从而加深了我们对该疾病的病理生理学和干预措施的理解。
Gut Microbiota Moderates Multimodal Brain Structure-Function Integration and Behavioral Cognition in Growth Hormone Deficient Children.
Introduction: Previous brain studies of growth hormone deficiency (GHD) often used single-modal neuroimaging, missing the complexity captured by multimodal data. Growth hormone affects gut microbiota and metabolism in GHD. However, from a gut-brain axis (GBA) perspective, the relationship between abnormal GHD brain development and microbiota alterations remains unclear. The ultimate goal is to uncover the manifestations underlying GBA abnormalities in GHD and idiopathic short stature (ISS).
Methods: Participants included 23 GHD and 25 ISS children. The fusion independent component analysis was applied to integrate multimodal brain data (high-resolution structural, diffusion tensor, and resting-state functional MRI) covering regional homogeneity (ReHo), amplitude of low frequency fluctuations (ALFF), and white matter fractional anisotropy (FA). Gut microbiome diversity and metabolites were analyzed using 16S sequencing and proton nuclear magnetic resonance (1H-NMR). Associations between multimodal neuroimaging and cognition were assessed using moderation analysis.
Results: Six independent components (IC) of ReHo, ALFF, and FA differed significantly between GHD and ISS patients, with three functional components linked to the processing speed index. GHD individuals showed higher levels of acetate, nicotinate, and lysine in microbiota metabolism. Higher alpha diversity in GHD strengthened connections between ReHo-IC1, ReHo-IC5, ALFF-IC1, and the processing speed index, while increasing agathobacter levels in ISS weakened the link between ALFF-IC1 and the speech comprehension index.
Conclusions: Our findings uncover differing brain structure and functional fusion in GHD, alongside microbiota metabolism of short-chain fatty acids. Additionally, microbiome influences connections between neuroimaging and cognition, offering insight into diverse GBA patterns in GHD and ISS, enhancing our understanding of the disease's pathophysiology and interventions.
期刊介绍:
''Neuroendocrinology'' publishes papers reporting original research in basic and clinical neuroendocrinology. The journal explores the complex interactions between neuronal networks and endocrine glands (in some instances also immunecells) in both central and peripheral nervous systems. Original contributions cover all aspects of the field, from molecular and cellular neuroendocrinology, physiology, pharmacology, and the neuroanatomy of neuroendocrine systems to neuroendocrine correlates of behaviour, clinical neuroendocrinology and neuroendocrine cancers. Readers also benefit from reviews by noted experts, which highlight especially active areas of current research, and special focus editions of topical interest.