Hepatic metabolic adaptation to endurance exercise: temporal and sex differences by multiomics integration and validation

Although endurance exercise benefits liver health, sex-specific adaptive trajectories remain unclear. This study mapped dynamic liver adaptation in males and females during prolonged training and identified underlying molecular programs. Using publicly available time-resolved liver multi-omics data generated by the Molecular Transducers of Physical Activity Consortium (MoTrPAC), we established a computational pipeline for differential analysis of transcriptomic, proteomic, phosphoproteomic, and metabolomic data with FDR correction, followed by FGSEA pathway enrichment. Kinase activities were inferred through ortholog mapping and PhosphoSitePlus. Cross-omics co-expression networks were constructed using WGCNA and topological overlap to link omics features with physiological phenotypes. For experimental validation, liver tissues were collected from endurance-trained Sprague-Dawley rats, and key nodes were confirmed by Western blotting, qRT-PCR, and immunofluorescence/immunohistochemical staining. Public scRNA-seq data were further integrated to map multi-omics signals to single-cell resolution and assess functional changes in specific cell types. The hepatic response to exercise stress was stage-specific, shifting from early transcriptional activation to later proteomic and metabolic remodeling. Multi-omics integration revealed distinct sex-associated adaptive trajectories: males were more strongly associated with energy metabolism, redox-related programs, and amino acid/organic acid catabolism, whereas females showed prominent membrane lipid remodeling, proteostasis -related programs, and mitochondrial/ribosomal translational features. Single-cell analysis showed that tissue remodeling occurred without major lineage turnover, instead involving altered communication among pre-existing cell communities. Validation of PPP1R3G identified a protein-dominant exercise-responsive marker, supporting the contribution of post-transcriptional or protein-level regulation. Hepatic adaptation to endurance stress follows a cross-omics evolutionary pattern with sex-specific reprogramming of energy supply and homeostatic maintenance. This time-resolved framework clarifies how exercise improves liver function and supports sex-oriented metabolic interventions and therapeutic target discovery. Temporal multi-omics maps stage-specific liver adaptation to endurance training. Exercise shifts hepatic responses from transcription to metabolic remodeling. Males favor energy/redox adaptation, females favor lipids and proteostasis. Single-cell analysis links remodeling to altered cell communication, not turnover. PPP1R3G validation supports post-transcriptional control of liver adaptation.

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Journal
Cell Communication and Signaling
Published
2026-08-25
DOI
https://doi.org/10.1186/s12964-026-03154-x
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Hepatic metabolic adaptation to endurance exercise: temporal and sex differences by multiomics integration and validation

Bofan Chen, Yun Zhou, Xueqiang Deng, Liang Hao et al.
Cell Communication and Signaling
Single-cell and spatial transcriptomics
article

Hepatic metabolic adaptation to endurance exercise: temporal and sex differences by multiomics integration and validation

Bofan Chen, Yun Zhou, Xueqiang Deng, Liang Hao, Yongjun Chen, Yuan Gao, Haimin Zeng, Yuan Shu, Junlin Ren, Jie Peng, Qi Zhao, Zhangyi Tu
article en

Abstract

Although endurance exercise benefits liver health, sex-specific adaptive trajectories remain unclear. This study mapped dynamic liver adaptation in males and females during prolonged training and identified underlying molecular programs. Using publicly available time-resolved liver multi-omics data generated by the Molecular Transducers of Physical Activity Consortium (MoTrPAC), we established a computational pipeline for differential analysis of transcriptomic, proteomic, phosphoproteomic, and metabolomic data with FDR correction, followed by FGSEA pathway enrichment. Kinase activities were inferred through ortholog mapping and PhosphoSitePlus. Cross-omics co-expression networks were constructed using WGCNA and topological overlap to link omics features with physiological phenotypes. For experimental validation, liver tissues were collected from endurance-trained Sprague-Dawley rats, and key nodes were confirmed by Western blotting, qRT-PCR, and immunofluorescence/immunohistochemical staining. Public scRNA-seq data were further integrated to map multi-omics signals to single-cell resolution and assess functional changes in specific cell types. The hepatic response to exercise stress was stage-specific, shifting from early transcriptional activation to later proteomic and metabolic remodeling. Multi-omics integration revealed distinct sex-associated adaptive trajectories: males were more strongly associated with energy metabolism, redox-related programs, and amino acid/organic acid catabolism, whereas females showed prominent membrane lipid remodeling, proteostasis -related programs, and mitochondrial/ribosomal translational features. Single-cell analysis showed that tissue remodeling occurred without major lineage turnover, instead involving altered communication among pre-existing cell communities. Validation of PPP1R3G identified a protein-dominant exercise-responsive marker, supporting the contribution of post-transcriptional or protein-level regulation. Hepatic adaptation to endurance stress follows a cross-omics evolutionary pattern with sex-specific reprogramming of energy supply and homeostatic maintenance. This time-resolved framework clarifies how exercise improves liver function and supports sex-oriented metabolic interventions and therapeutic target discovery. Temporal multi-omics maps stage-specific liver adaptation to endurance training. Exercise shifts hepatic responses from transcription to metabolic remodeling. Males favor energy/redox adaptation, females favor lipids and proteostasis. Single-cell analysis links remodeling to altered cell communication, not turnover. PPP1R3G validation supports post-transcriptional control of liver adaptation.

Cell Communication and Signaling
Nanchang University (CN), Sun Yat-sen University (CN), First Affiliated Hospital of Jiangxi Medical College (CN), Jiangxi Provincial People's Hospital (CN), Second Affiliated Hospital of Nanchang University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Affordable and clean energy
Openalex Percentile: Top 17%
Single-cell and spatial transcriptomics
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