Evidence map›Paper›PMID 41642387›Full record

ArticleBiogerontology2026

Muscle-specific transcriptomic and metabolomic signatures reveal heterogeneous aging trajectories and altered intercellular communication in male murine skeletal muscle.

Caifen Guo, Xinqiang Lan, Chunping Huang, Xiang Wang, Dongqin Zhang, Lin Zeng, Qiquan Wang, Yang Xiang, Jian Li

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Article in Biogerontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Caifen Guo *Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xinqiang Lan *Metabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Chunping Huang *Metabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Xiang WangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China.
Dongqin ZhangHeartSeek Biotechnology, Kunming, China.
Lin ZengInstitutional Center for Shared Technologies and Facilities of the Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Qiquan WangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China. wangqiquan@ncu.edu.cn.
Yang XiangMetabolic Control and Aging, Human Aging Research Institute and School of Life Science, Nanchang University and Jiangxi Key Laboratory of Aging and Diseases, Nanchang, China. xiangyang@ncu.edu.cn.
Jian LiDepartment of Sports Medicine, The Beijing Jishuitan Hospital Guizhou Hospital, Guiyang, China. 18213498761@163.com.

Funding

The Key Medical Discipline Construction Project of Guizhou Provincial Health Commission during 2025-2026 2025-2026The National Key R&D Program, Ministry of Science and Technology of China 2023YFC3603300The National Key R&D Program, Ministry of Science and Technology of China 2023YFF1001000The National Natural Science Foundation of China 82460283The National Natural Science Foundation of China 82471591The Start-up Fund for Doctoral Research at the Affiliated Hospital of Guizhou Medical University gyfybsky-2022-38
6 · The paper itself

Abstract

Skeletal muscle aging is characterized by progressive functional decline and molecular remodeling, yet how different muscle types respond to aging remains incompletely understood. Here, we performed integrated transcriptomic and metabolomic profiling of three functionally distinct muscles-gastrocnemius (GA), soleus (SOL), and tibialis anterior (TA)-from young (3-month) and aged (24-month) C57BL/6J male mice. Our multi-omics approach revealed both shared and muscle-specific molecular signatures of aging. While all three muscles exhibited a core set of 83 commonly altered genes enriched in circadian rhythm, xenobiotic metabolism, and immune signaling pathways, each muscle displayed unique aging trajectories. GA showed 881 differentially expressed genes with prominent alterations in PI3K-Akt and p53 signaling; SOL exhibited 1232 changes emphasizing oxidative phosphorylation and inflammatory responses; TA demonstrated the most extensive remodeling with 1492 altered genes, particularly in extracellular matrix organization and fatty acid metabolism. Metabolomic analysis revealed muscle-specific metabolic reprogramming: GA showed disrupted pentose phosphate and arginine pathways; SOL exhibited altered branched-chain amino acid metabolism; TA displayed TCA cycle perturbations. Notably, the coordination between transcriptomic and metabolomic changes varied by muscle type-GA showed decoupled responses, while SOL and TA demonstrated compensatory inverse relationships. Lipid metabolism emerged as a critical aging-associated process with distinct muscle-specific adaptations: SOL upregulated antioxidant defenses, TA activated compensatory PPAR and PI3K-Akt signaling, while GA showed intermediate responses. Furthermore, receptor-ligand correlation analysis revealed age-dependent reorganization of intermuscular communication networks, with enhanced chemokine signaling and altered growth factor crosstalk. These findings establish that skeletal muscle aging involves both systemic responses and highly muscle-specific molecular adaptations, providing insights for targeted therapeutic strategies against sarcopenia.

Indexed as

AgingMetabolomeMuscle, SkeletalTranscriptomeAnimalsGene Expression ProfilingMaleMetabolomicsMiceMice, Inbred C57BLMultiomicsSignal TransductionGastrocnemiusLipid metabolismMetabolomicsOxidative stressSarcopeniaSkeletal muscle agingSoleusTibialis anteriorTranscriptomics

Identifiers

PMID41642387

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.