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

Objective The 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. Methods Five 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. Results Synthesis 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. Conclusion Distinct 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 Registration https://www.crd.york.ac.uk/prospero/ , identifier CRD420251237915.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2026-04-30
DOI
https://doi.org/10.3389/fimmu.2026.1763558
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Hongyu Jiang, Bojun Zhou, W Wang, Gang Huang et al.
Frontiers in Immunology
Adipokines, Inflammation, and Metabolic Diseases
article

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

Hongyu Jiang, Bojun Zhou, W Wang, Gang Huang, Zhixiong Chen, Jiangfu Zhang
article en

Abstract

Objective The 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. Methods Five 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. Results Synthesis 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. Conclusion Distinct 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 Registration https://www.crd.york.ac.uk/prospero/ , identifier CRD420251237915.

Frontiers in ImmunologyVol. 17
Hunan University of Science and Technology (CN), Lingnan Normal University (CN), Hunan University (CN), Hunan City University (CN), Institute of Experimental Physics of the Slovak Academy of Sciences (SK), Xi'an Physical Education University (CN), Mudanjiang Normal University (CN), Xiangnan University (CN), Beijing Sport University (CN)
Openalex Percentile: Top 12%
Adipokines, Inflammation, and Metabolic Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.