Sydney O Idahosa, Rokia Diarra, Hernoor K Ranu, Raidah H Nasiri, Sei Higuchi
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引用次数: 0
Abstract
Bidirectional communication between the brain and gastrointestinal tract, called the gut-brain axis, is linked with our emotions. Intestinal lipids, hormones, and molecules, such as bile acids (BAs), have been known to impact our mood, motivation, and emotions via the gut-brain axis. BAs are synthesized from cholesterol in the liver and serve as a regulator of lipid metabolism and hormonal secretion in the intestine. Human studies have indicated that the alteration of plasma BA levels is associated with depression and anxiety. Several possible mechanisms, such as BA receptor-dependent and receptor-independent mechanisms, have been reported for emotional control. Animal studies have indicated that the deletion of BA receptors shows behavioral abnormalities. BAs regulate gut hormones, glucagon-like peptide-1 secretion, bioactive lipids, oleoylethanolamide, and the immune system function, which influences neural activities. Thus, BAs are considered to act as an emotional regulator. This review aims to summarize the following: clinical evidence of BA concentration linked to mental disorders, including depression and anxiety; and animal studies of BA-related signaling correlated with its neurobehavioral effect supporting its mechanism. In this review, we will discuss future research required for further neurobehavioral treatment.
大脑和胃肠道之间的双向交流,即肠道-大脑轴,与我们的情绪息息相关。众所周知,肠道脂质、激素和胆汁酸(BA)等分子会通过肠脑轴影响我们的情绪、动力和情感。胆汁酸在肝脏中由胆固醇合成,是肠道中脂质代谢和激素分泌的调节剂。人体研究表明,血浆 BA 水平的改变与抑郁和焦虑有关。据报道,情绪控制可能有多种机制,如 BA 受体依赖机制和独立机制。动物研究表明,删除 BA 受体会导致行为异常。BAs 可调节肠道激素、GLP-1 分泌、生物活性脂质、油酰乙醇酰胺(OEA)和免疫系统功能,从而影响神经活动。因此,BAs 被认为是一种情绪调节剂。本综述旨在总结:1)BA 浓度与精神障碍(包括抑郁和焦虑)相关的临床证据;2)BA 相关信号传导与其神经行为效应相关的动物研究,以支持其机制。在这篇综述中,我们将讨论进一步的神经行为治疗所需的未来研究。
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.