The neuro-immuno-metabolic axis of exercise: a unified mechanistic framework for exercise-induced cognitive enhancement and psychological resilience

运动的神经-免疫-代谢轴:运动诱导认知增强和心理韧性的统一机制框架

阅读:3

Abstract

BACKGROUND: Physical exercise is widely recognized for promoting cognitive function and psychological resilience; however, the precise systemic mechanisms remain fragmented across isolated disciplines. Existing models often fail to capture the complex, multi-systemic nature of these adaptations. METHODS: We conducted a comprehensive literature search in PubMed, Web of Science, and Scopus databases up to December 2025. Keywords included "exercise," "neuroinflammation," "metabolism," "kynurenine pathway," and "gut-brain axis." We prioritized high-quality preclinical and clinical studies that examined bidirectional cross-talk between at least two physiological systems (neural, immune, or metabolic) to construct a unified theoretical synthesis. RESULTS: Based on this synthesis, we propose the "Neuro-Immuno-Metabolic (NIM) Axis." Unlike linear bipartite models, this framework positions exercise as a systemic "energy challenge" that triggers a coordinated recalibration. Key mechanisms identified include: (1) Metabolic Signaling: Lactate, ketone bodies, and the PGC-1α-mediated kynurenine detoxification pathway act as systemic signalers; (2) Immune Regulation: Exercise drives a shift from pro-inflammatory surveillance to "repair-oriented inflammation" rather than binary M1/M2 phenotypes; and (3) Gut-Brain Integration: Gut metabolites (e.g., indoles, SCFAs) regulate central immune tolerance via AhR signaling. Furthermore, we delineate the mechanistic specificity of aerobic, resistance, and high-intensity interval training (HIIT). CONCLUSION: The NIM axis provides a novel, integrative framework that explains how metabolic stress is transduced into psychological resilience. These insights establish a theoretical foundation for precision exercise medicine and advocate for future multi-omics research to develop individualized interventions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。