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基于炎症理论探讨肥胖与抑郁之间的关系

Relationship Between Obesity and Depression Considering the Inflammatory Theory.

作者信息

Oracz Aleksandra Julia, Zwierz Mateusz, Naumowicz Maciej, Suprunowicz Maria, Waszkiewicz Napoleon

机构信息

Department of Psychiatry, Medical University of Bialystok, pl. Wołodyjowskiego 2, 15-272 Białystok, Poland.

Faculty of Medicine with the Division of Dentistry and Division of Medical Education in English, Medical University of Bialystok, Jana Kilińskiego 1, 15-089 Białystok, Poland.

出版信息

Int J Mol Sci. 2025 May 22;26(11):4966. doi: 10.3390/ijms26114966.

Abstract

Numerous scientific findings indicate that excess adipose tissue, particularly visceral fat, is associated with a chronic inflammatory state manifested by elevated levels of proinflammatory cytokines and an imbalance in the T helper type 1/type 2 (Th1/Th2) response, which carries numerous metabolic consequences. Obesity induces, among other effects, the activation of the kynurenine pathway and a reduction in serotonin synthesis, alterations in adipokine profiles, modifications of the hypothalamic-pituitary-adrenal (HPA) axis, disturbances in fatty acid ratios, oxidative stress, and dysfunction of the gamma-aminobutyric acid (GABA)ergic system. These neuroimmunological and metabolic disturbances, along with obesity-induced neurotransmission abnormalities that may represent a common underlying model of depression, could provide valuable insights into the pathomechanisms of depression, allowing for prediction of disease progression and individualized therapeutic strategies in overweight patients. Furthermore, the analysis of inflammation-associated biomarkers opens up new therapeutic perspectives, suggesting that interventions aimed at reducing inflammation might lead to potential advances in the treatment of depression.

摘要

众多科学研究结果表明,过多的脂肪组织,尤其是内脏脂肪,与一种慢性炎症状态相关,这种状态表现为促炎细胞因子水平升高以及1型辅助性T细胞/2型辅助性T细胞(Th1/Th2)反应失衡,进而带来诸多代谢后果。肥胖除其他影响外,还会诱导犬尿氨酸途径的激活和血清素合成的减少、脂肪因子谱的改变、下丘脑-垂体-肾上腺(HPA)轴的改变、脂肪酸比例的紊乱、氧化应激以及γ-氨基丁酸(GABA)能系统功能障碍。这些神经免疫和代谢紊乱,连同肥胖诱导的神经传递异常(可能代表抑郁症的一种常见潜在模式),可为抑郁症的发病机制提供有价值的见解,有助于预测疾病进展并为超重患者制定个体化治疗策略。此外,对炎症相关生物标志物的分析开辟了新的治疗前景,表明旨在减轻炎症的干预措施可能会在抑郁症治疗方面取得潜在进展。

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