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Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis

Gang Huang et al · Frontiers Media S.A · 2026

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ObjectiveThe present Bayesian network meta-analysis (NMA) aims to evaluate and compare the efficacy of aerobic training (AT), resistance training (RT), high-intensity interval training (HIIT), and combined training (CT) on biomarkers of chronic low-grade systemic inflammation (CLGSI) in postmenopausal women with overweight or obesity.MethodsFive databases were systematically searched from inception to November 2025 (PROSPERO: CRD420251237915) for randomized controlled trials (RCTs). Inclusion required strict clinical verification of postmenopausal status and adiposity. Standardized mean differences (SMDs) with 95% credible intervals (CrIs) quantified comparative efficacy. Surface Under the Cumulative Ranking curve (SUCRA) established probabilistic hierarchical rankings, and the GRADE framework evaluated the certainty of evidence.ResultsSynthesis of 39 RCTs (N = 2,714; mean age: 58.8 ± 9.2 years) indicated biomarker-specific adaptations. RT produced the largest reduction in systemic C-reactive protein (CRP) (SMD = -0.97, 95% CrI [-1.52, -0.42]), followed by AT (SMD = -0.57, 95% CrI [-1.16, -0.02]). CT downregulated circulating interleukin-6 (IL-6) (SMD = -1.58, 95% CrI [-2.62, -0.56]) and demonstrated the highest probability of suppressing circulating tumor necrosis factor-α (TNF-α) (SMD = -0.99, 95% CrI [-1.71, -0.23]), followed by AT (SMD = -0.75, 95% CrI [-1.20, -0.31]). Sparse direct evidence for HIIT yielded wide credible intervals crossing the null. Systemic leptin levels remained unchanged. The overall certainty of evidence was rated as low to very low.ConclusionDistinct exercise modalities elicit biomarker-specific anti-inflammatory responses in postmenopausal women with overweight or obesity. Based on probabilistic rankings, RT demonstrates the highest potential for mitigating systemic CRP, whereas CT appears most effective in attenuating IL-6 and TNF-α. The stability of systemic leptin levels indicates that physical activity alone may be insufficient to reverse hyperleptinemia. Given the low to very low certainty of evidence, these modality-specific efficacies should be interpreted cautiously as probabilistic targets to inform biomarker-guided exercise prescriptions.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420251237915.

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APA 7

al, G. H. E. (2026). Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis. https://doi.org/10.3389/fimmu.2026.1763558

MLA

al, Gang Huang et. "Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis." 2026. https://doi.org/10.3389/fimmu.2026.1763558.

Chicago

al, Gang Huang et. 2026. "Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis.". https://doi.org/10.3389/fimmu.2026.1763558.

Harvard

al, G. H. E. 2026, Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis, Frontiers Media S.A, available at: https://doi.org/10.3389/fimmu.2026.1763558 [Accessed 8 Aug. 2026].

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Title
Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis
Author / contributors
Gang Huang et al
Publisher
Frontiers Media S.A
Publication year
2026
ISSN
1664-3224
ISSN
1664-3224
Language
English

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