# The Metabolic Signatures Associated with the Effects of Aerobic Exercise on Depressive-like Behaviors in CUMS Rats

**Authors:** Huan Xiang, Danhui Zhang, Yuchen Zhu, Jiangtao Hou, Yumei Han

PMC · DOI: 10.3390/metabo16020114 · Metabolites · 2026-02-05

## TL;DR

This study identifies how aerobic exercise reduces depressive-like behaviors in rats by altering amino acid metabolism and key signaling pathways.

## Contribution

The study reveals novel metabolic signatures and core biological targets through which aerobic exercise exerts antidepressant effects in a rat model of depression.

## Key findings

- Aerobic exercise significantly improved depressive-like behaviors and anti-fatigue capacity in CUMS rats.
- Exercise modulated 25 urinary metabolites, primarily in amino acid metabolism pathways.
- Core targets like AKT1, mTOR, and IL-6 were identified as mediators of the antidepressant effects of exercise.

## Abstract

Objectives: This study explored the antidepressant mechanisms of aerobic exercise in CUMS rats by analyzing urinary metabolomics (LC-MS and NMR), with the aim of providing both theoretical and practical support for exercise-based depression interventions. Methods: (1) Thirty-two Sprague-Dawley rats were acclimatized for one week and then randomly assigned to four groups (n = 8 per group): control (C), control + aerobic exercise group (E), CUMS model (D), and CUMS + exercise (DE). Groups D and DE were subjected to nine types of CUMS stimuli. Behavioral indicators were assessed weekly, and the successful establishment of the CUMS model was confirmed at week 3. Following successful modeling, rats in groups E and DE underwent four weeks of aerobic exercise training. Throughout this period, groups D and DE continued to receive CUMS exposure, while groups C and E were maintained under standard control conditions. (2) At the end of week 7, behavioral tests were repeated. Twelve-hour urine samples were collected for metabolomic analysis using liquid chromatography–mass spectrometry (LC-MS) and 1H-NMR spectroscopy. The following morning, rats were euthanized under anesthesia. Whole blood was collected from the abdominal aorta, and serum was separated for subsequent biochemical assays. Bioinformatics approaches were employed to identify potential targets and signaling pathways associated with the antidepressant effects of aerobic exercise. (3) For statistical analysis, one-way or two-way analysis of variance (ANOVA) was applied to behavioral, physiological, and biochemical data, whereas multivariate statistical analysis was used for metabolomic data. Results: (1) By week 3, body mass, sucrose preference, rearing frequency, and the number of grid crossings were significantly lower in groups D and DE than in groups C and E (p < 0.05 or p < 0.01). These findings confirmed the successful establishment of the depression model. At week 7, all behavioral indicators in group DE showed significant recovery relative to group D (p < 0.05 or p < 0.01). (2) Compared with group C, corticosterone and blood ammonia levels were significantly elevated in group D (p < 0.01). In contrast, these levels were markedly reduced in group DE compared with group D (p < 0.01). (3) LC-MS analysis identified 25 urinary metabolites associated with depression in group D relative to group C. Among these, 21 were significantly downregulated and 4 were upregulated (p < 0.05 or p < 0.01), involving seven metabolic pathways. Following aerobic exercise intervention, six of these depression-related metabolites in group DE showed significant recovery (p < 0.05 or p < 0.01), which were associated with two metabolic pathways. (4) Integrated analysis of LC-MS and 1H-NMR data revealed glutamine as a common differential metabolite, linked to three metabolic pathways. All metabolic pathways modulated by aerobic exercise were related to amino acid metabolism. (5) Bioinformatics analysis indicated that AKT1, MTOR, IL6, RAF1, and TNF were core targets through which aerobic exercise regulated urinary metabolism in CUMS rats. Conclusions: A four-week regimen of aerobic exercise significantly improved depressive-like behaviors and enhanced anti-fatigue capacity in CUMS rats. This exercise regimen promoted urinary metabolic remodeling, primarily through the modulation of amino acid metabolism. Furthermore, its antidepressant effect is likely mediated through the regulation of core tissue targets—including AKT1, mTOR, IL-6, RAF1, and TNF—thereby influencing key pathways such as PI3K-AKT, MAPK/ERK, and neuroinflammatory signaling.

## Linked entities

- **Genes:** AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207], MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475], IL6 (interleukin 6) [NCBI Gene 3569], RAF1 (Raf-1 proto-oncogene, serine/threonine kinase) [NCBI Gene 5894], TNF (tumor necrosis factor) [NCBI Gene 7124]
- **Diseases:** depression (MONDO:0002050)

## Full-text entities

- **Genes:** RAF1 (Raf-1 proto-oncogene, serine/threonine kinase) [NCBI Gene 5894] {aka CMD1NN, CRAF, NS5, Raf-1, c-Raf}, Akt1 (Akt serine/threonine kinase 1) [NCBI Gene 11651] {aka Akt, LTR-akt, PKB, PKB/Akt, PKBalpha, Rac}, PTK2B (protein tyrosine kinase 2 beta) [NCBI Gene 2185] {aka CADTK, CAKB, FADK2, FAK2, PKB, PTK}, Tnf (tumor necrosis factor) [NCBI Gene 21926] {aka DIF, TNF-a, TNF-alpha, TNFSF2, TNFalpha, Tnfa}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, Akt1 (AKT serine/threonine kinase 1) [NCBI Gene 24185] {aka Akt}, Raf1 (Raf1 proto-oncogene, serine/threonine kinase) [NCBI Gene 110157] {aka 6430402F14Rik, Craf1, D830050J10Rik, Raf-1, c-Raf, cRaf}, ZHX2 (zinc fingers and homeoboxes 2) [NCBI Gene 22882] {aka AFR1, RAF}, Mtor (mechanistic target of rapamycin kinase) [NCBI Gene 56718] {aka Frap1, RAFT1}, Il6 (interleukin 6) [NCBI Gene 24498] {aka ILg6, Ifnb2}, Pik3r1 (phosphoinositide-3-kinase regulatory subunit 1) [NCBI Gene 18708] {aka PI3K, p50alpha, p55alpha, p85alpha}, Bdnf (brain-derived neurotrophic factor) [NCBI Gene 24225], Il6 (interleukin 6) [NCBI Gene 16193] {aka Il-6}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, Pik3cb (phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit beta) [NCBI Gene 85243], Il1b (interleukin 1 beta) [NCBI Gene 24494] {aka IL-1F2}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, Ephb1 (Eph receptor B1) [NCBI Gene 24338] {aka Ephb2, Erk, elk}, Tnf (tumor necrosis factor) [NCBI Gene 24835] {aka RATTNF, TNF-alpha, Tnfa}, Mtor (mechanistic target of rapamycin kinase) [NCBI Gene 56717] {aka 2610315D21Rik, FRAP, FRAP2, Frap1, RAFT1, RAPT1}, Pik3cg (phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit gamma) [NCBI Gene 298947] {aka Pi3k}, Raf1 (Raf-1 proto-oncogene, serine/threonine kinase) [NCBI Gene 24703]
- **Diseases:** hippocampal neuronal damage (MESH:D009410), Depression (MESH:D003866), liver tissue damage (MESH:D056486), low (MESH:D009800), liver atrophy (MESH:D017093), Chagas disease (MESH:D014355), infectious disease (MESH:D003141), CUMS (MESH:D000079225), pituitary (MESH:D010900), hypertension (MESH:D006973), Psychomotor retardation (MESH:D011596), Fatigue (MESH:D005221), emotional dysregulation (MESH:D021081), metabolic (MESH:D008659), injury to (MESH:D014947), headaches (MESH:D006261), inflammatory (MESH:D007249), loss of (MESH:D016388), anhedonia (MESH:D059445), hyperactivity of the hypothalamic (MESH:D007027), mental disorder (MESH:D001523), neuroinflammation (MESH:D000090862), anxiety (MESH:D001007)
- **Chemicals:** Glutamine (MESH:D005973), steroid hormone (MESH:D013256), lipid (MESH:D008055), cysteine (MESH:D003545), sucrose (MESH:D013395), purine (MESH:C030985), hydroxybutyric acid (MESH:D006885), dopamine (MESH:D004298), tryptophan (MESH:D014364), glucose (MESH:D005947), threonine (MESH:D013912), 7-methylguanine (MESH:C008450), 1H (-), Tyramine (MESH:D014439), 3-indoxyl sulfate (MESH:D007200), butyrate (MESH:D002087), aspartate (MESH:D001224), urea (MESH:D014508), caprolactam (MESH:D002209), N-acetylaspartate (MESH:C000179), Amino Acid (MESH:D000596), serine (MESH:D012694), L-phenylalanine (MESH:D010649), amine (MESH:D000588), creatine (MESH:D003401), arginine (MESH:D001120), fatty acid (MESH:D005227), acetone (MESH:D000096), D2O (MESH:D017666), water (MESH:D014867), Tyrosine (MESH:D014443), testosterone (MESH:D013739), S-adenosylmethionine (MESH:D012436), norepinephrine (MESH:D009638), phenylacetylglycine (MESH:C022050), acetic acid (MESH:D019342), Glutamate (MESH:D018698), ethanol (MESH:D000431), glycine (MESH:D005998), methylthioadenosine (MESH:C008500), Met (MESH:D008715), pyruvate (MESH:D019289), methanol (MESH:D000432), proline (MESH:D011392), formic acid (MESH:C030544), Ammonia (MESH:D000641), hypoxanthine (MESH:D019271), lactic acid (MESH:D019344), Cortisol (MESH:D006854), acetonitrile (MESH:C032159), corticosterone (MESH:D003345), TCA (MESH:D014233), cholic acid (MESH:D019826), epinephrine (MESH:D004837), alanine (MESH:D000409)
- **Species:** Rattus norvegicus (brown rat, species) [taxon 10116], Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]
- **Mutations:** glutamate into glutamine

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## References

45 references — full list in the complete paper: https://tomesphere.com/paper/PMC12943010/full.md

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Source: https://tomesphere.com/paper/PMC12943010