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

**Authors:** Yinghao Shen, Zhujun Mao, Yupeng Yang, Heming Chen, Hongda Wang, Xi Cheng, Wenyue Zhu, Junjie Liu, Chunxiao Wang

PMC · DOI: 10.3389/fpsyg.2026.1773561 · Frontiers in Psychology · 2026-03-09

## TL;DR

This paper proposes a new framework called the neuro-immuno-metabolic (NIM) axis to explain how exercise improves brain function and mental resilience through interconnected biological systems.

## Contribution

Introduces the NIM axis as a novel integrative model linking exercise, metabolism, immunity, and cognition.

## Key findings

- Exercise acts as a systemic energy challenge that triggers coordinated recalibration of metabolic, immune, and neural systems.
- Metabolic signaling, immune regulation shifts, and gut-brain integration via AhR signaling are key mechanisms in exercise-induced resilience.
- Different exercise types (aerobic, resistance, HIIT) have distinct effects on the NIM axis.

## Abstract

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.

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.

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).

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.

The neuro-immuno-metabolic (NIM) axis framework. Schematic representation of the Neuro-Immuno-Metabolic (NIM) Axis, illustrating how specific exercise modalities (Resistance, Aerobic, HIIT) act as systemic energy triggers to modulate metabolic signaling, gut-brain integration, and immune regulation, ultimately promoting cognitive function and psychological resilience. Infographic showing how systemic energy challenges like resistance, aerobic, and HIIT training influence the neuro-immuno-metabolic axis via metabolic signaling, gut-brain integration, and immune regulation, enhancing cognitive function and psychological resilience.

## Linked entities

- **Genes:** PPARGC1A (PPARG coactivator 1 alpha) [NCBI Gene 10891]
- **Chemicals:** lactate (PubChem CID 61503), indoles (PubChem CID 139191468)

## Full-text entities

- **Genes:** PPARGC1A (PPARG coactivator 1 alpha) [NCBI Gene 10891] {aka LEM6, PGC-1(alpha), PGC-1alpha, PGC-1v, PGC1, PGC1A}, AHR (aryl hydrocarbon receptor) [NCBI Gene 196] {aka FVH3, RP85, bHLHe76}
- **Diseases:** inflammation (MESH:D007249), neuroinflammation (MESH:D000090862)
- **Chemicals:** SCFAs (MESH:D005232), ketone bodies (MESH:D007657), kynurenine (MESH:D007737), Lactate (MESH:D019344), indoles (MESH:D007211)

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13006227/full.md

## References

161 references — full list in the complete paper: https://tomesphere.com/paper/PMC13006227/full.md

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Source: https://tomesphere.com/paper/PMC13006227