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Peer-reviewedCC BY 4.0Frontiers in Immunology

Resistance-containing exercise versus non-exercise control for inflammatory markers and T-cell counts in adults living with HIV: a systematic review and meta-analysis

  1. 1Department of Physical Education, Kunsan National University

Abstract

Background: Adults living with HIV may have persistent immune activation and low-grade inflammation despite effective antiretroviral therapy. We assessed whether resistance training or resistance-containing combined exercise alters inflammatory biomarkers or T-cell counts versus non-exercise control.

Methods: Six databases were searched to 1 June 2026 without language restrictions. Controlled intervention studies lasting at least four weeks were eligible. Screening and extraction were performed independently in duplicate. Inflammatory outcomes were expressed as Hedges’ g; final-value SMDs were primary and change-score SMDs were analyzed separately, with one-trial strata reported individually. CD4+ T-cell count was pooled as a mean difference. Random-effects models used restricted maximum likelihood and Hartung-Knapp-Sidik-Jonkman intervals. RoB 2 or ROBINS-I and GRADE were applied.

Results: Fifteen trials (18 reports) were included; 13 contributed quantitative data. All primary final-value confidence intervals included no effect: interleukin-6, −0.19 (95% CI −1.14 to 0.76; k = 4); tumor necrosis factor alpha, 0.07 (−1.44 to 1.57; k = 3); C-reactive protein, −0.02 (−1.46 to 1.41; k = 3); interleukin-1 beta, −0.47 (−10.09 to 9.15; k = 2); and interleukin-10, 0.04 (−11.37 to 11.46; k = 2). Interleukin-8 was reported by one final-value trial, −0.63 (−1.39 to 0.12), and was not pooled. Separate change-score analyses were also inconclusive except for one unpooled C-reactive protein trial. The pooled estimate for CD4+ T-cell count favored exercise by 124.2 cells/mm ³ (54.6 to 193.7; k = 7), but the prediction interval crossed no effect. Certainty was very low.

Conclusion: The effects of resistance-containing exercise on inflammatory biomarkers remain undetermined. The CD4+ estimate suggests a possible increase, but confidence is very limited because the evidence is sparse, heterogeneous, at risk of bias, and its prediction interval includes no effect. Larger trials with well-defined comparators and complete contrast-form reporting are needed.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420261425700 , identifier CRD420261425700.

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BibTeX
@article{zhang2026resistancecontaining,
  title = {{Resistance-containing exercise versus non-exercise control for inflammatory markers and T-cell counts in adults living with HIV: a systematic review and meta-analysis}},
  author = {Jiayi Zhang and Yafei Gao and Zhentao Zhang and Zikun Lyu and Jingshi Ma},
  journal = {Frontiers in Immunology},
  year = {2026},
  month = oct,
  doi = {10.3389/fimmu.2026.1949799},
  url = {https://www.frontiersin.org/articles/10.3389/fimmu.2026.1949799/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Resistance-containing exercise versus non-exercise control for inflammatory markers and T-cell counts in adults living with HIV: a systematic review and meta-analysis
AU  - Jiayi Zhang
AU  - Yafei Gao
AU  - Zhentao Zhang
AU  - Zikun Lyu
AU  - Jingshi Ma
PY  - 2026
DA  - 2026/10/07
JO  - Frontiers in Immunology
DO  - 10.3389/fimmu.2026.1949799
UR  - https://www.frontiersin.org/articles/10.3389/fimmu.2026.1949799/full
AB  - Background: Adults living with HIV may have persistent immune activation and low-grade inflammation despite effective antiretroviral therapy. We assessed whether resistance training or resistance-containing combined exercise alters inflammatory biomarkers or T-cell counts versus non-exercise control.  Methods: Six databases were searched to 1 June 2026 without language restrictions. Controlled intervention studies lasting at least four weeks were eligible. Screening and extraction were performed independently in duplicate. Inflammatory outcomes were expressed as Hedges’ g; final-value SMDs were primary and change-score SMDs were analyzed separately, with one-trial strata reported individually. CD4+ T-cell count was pooled as a mean difference. Random-effects models used restricted maximum likelihood and Hartung-Knapp-Sidik-Jonkman intervals. RoB 2 or ROBINS-I and GRADE were applied.  Results: Fifteen trials (18 reports) were included; 13 contributed quantitative data. All primary final-value confidence intervals included no effect: interleukin-6, −0.19 (95% CI −1.14 to 0.76; k = 4); tumor necrosis factor alpha, 0.07 (−1.44 to 1.57; k = 3); C-reactive protein, −0.02 (−1.46 to 1.41; k = 3); interleukin-1 beta, −0.47 (−10.09 to 9.15; k = 2); and interleukin-10, 0.04 (−11.37 to 11.46; k = 2). Interleukin-8 was reported by one final-value trial, −0.63 (−1.39 to 0.12), and was not pooled. Separate change-score analyses were also inconclusive except for one unpooled C-reactive protein trial. The pooled estimate for CD4+ T-cell count favored exercise by 124.2 cells/mm ³ (54.6 to 193.7; k = 7), but the prediction interval crossed no effect. Certainty was very low.  Conclusion: The effects of resistance-containing exercise on inflammatory biomarkers remain undetermined. The CD4+ estimate suggests a possible increase, but confidence is very limited because the evidence is sparse, heterogeneous, at risk of bias, and its prediction interval includes no effect. Larger trials with well-defined comparators and complete contrast-form reporting are needed.  Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420261425700 , identifier CRD420261425700.
SN  - 1664-3224
ER  -