Evidence map›Paper›PMID 41178047›Full record

ArticlePhysiological reports2025

Retrospective transcriptomic analysis indicates temporal dysregulation of mitochondrial genes and metabolic pathways after volumetric muscle loss injury.

David L Miller, Sarah M Greising, Eugene F Douglas, Jarrod A Call

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Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

David L MillerRegenerative Bioscience Center, University of Georgia, Athens, Georgia, USA.ORCID 0009-0008-6856-1521
Sarah M GreisingSchool of Kinesiology, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-9285-4908
Eugene F DouglasPharmaceutical Sciences, University of Georgia, Athens, Georgia, USA.
Jarrod A CallRegenerative Bioscience Center, University of Georgia, Athens, Georgia, USA.ORCID 0000-0002-1094-4940

Funding

Pathological Foundations of Skeletal Muscle After Volumetric Muscle Loss and Targets For RehabilitationR01AR078903 · NIAMS · UNIVERSITY OF GEORGIA · PI CALL, JARROD A, GREISING, SARAH M · 2022 to 2025
$1.8M
Age, Injury, and the Neuromuscular JunctionK02AG081488 · NIA · UNIVERSITY OF MINNESOTA · PI Sarah M Greising · 2023 to 2026
$606k
HHS | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) R01AR078903HHS | NIH | National Institute on Aging (NIA) K02-AG081488NIAMS NIH HHS R01 AR078903NIA NIH HHS K02 AG081488
6 · The paper itself

Abstract

Volumetric muscle loss (VML) injury results in the irrecoverable loss of muscle mass and strength and alters the metabolic capacity of the remaining muscle tissue. The primary objective of this retrospective study was to leverage existing RNA-seq datasets to investigate mitochondria and metabolic transcriptome changes after VML injury. The datasets were extracted from publicly available sources and included a bulk RNA-seq dataset (Rattus norvegicus) and a single-cell RNA-seq dataset (Mus musculus) that combined provided a transcriptional landscape out to 42 days post-injury (dpi). The Broad Institute's MitoCarta3.0 database was used to identify mitochondrial-associated genes and pathways for the analysis. There was a robust downregulation of genes in the bulk RNA-seq dataset out to 28 dpi. Gene set enrichment analysis revealed that these genes contributed to oxidative phosphorylation, fatty-acid oxidation, and carbohydrate metabolism. A changing metabolic transcriptional landscape was evident in the single-cell RNA-seq dataset as several cell types (e.g., satellite cells, macrophages, and fibro-adipogenic cells) had upregulated gene sets (e.g., oxidative phosphorylation) that switched to downregulated after 14 dpi. Results from this study complement physiological studies that report dysfunctional mitochondrial bioenergetics, particularly for carbohydrate and free-fatty acid carbon sources, both immediately and chronically after VML injury. These findings also provide targets for monitoring the success of future interventions or directly manipulating in attempts to improve whole-muscle metabolic function.

Indexed as

Genes, MitochondrialMetabolic Networks and PathwaysMitochondriaMuscle, SkeletalTranscriptomeAnimalsGene Expression ProfilingMaleMiceOxidative PhosphorylationRatsRetrospective Studiesmitochondriamuscle injurymuscle recoverymuscle regenerationsecondary data analysis

Identifiers

PMID41178047
PMCPMC12580409

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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.