Cited by 365Muscle Physiology and DisordersNutrition and Health in AgingMitochondrial Function and Pathology

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Mitochondrial oxidative capacity and NAD+ biosynthesis are reduced in human sarcopenia across ethnicities

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Abstract

The causes of impaired skeletal muscle mass and strength during aging are well-studied in healthy populations. Less is known on pathological age-related muscle wasting and weakness termed sarcopenia, which directly impacts physical autonomy and survival. Here, we compare genome-wide transcriptional changes of sarcopenia versus age-matched controls in muscle biopsies from 119 older men from Singapore, Hertfordshire UK and Jamaica. Individuals with sarcopenia reproducibly demonstrate a prominent transcriptional signature of mitochondrial bioenergetic dysfunction in skeletal muscle, with low PGC-1α/ERRα signalling, and downregulation of oxidative phosphorylation and mitochondrial proteostasis genes. These changes translate functionally into fewer mitochondria, reduced mitochondrial respiratory complex expression and activity, and low NAD + levels through perturbed NAD + biosynthesis and salvage in sarcopenic muscle. We provide an integrated molecular profile of human sarcopenia across ethnicities, demonstrating a fundamental role of altered mitochondrial metabolism in the pathological loss of skeletal muscle mass and function in older people.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a multi-ethnic case-control study of muscle biopsies from older men, sarcopenia was reproducibly characterized by a dominant transcriptional signature of mitochondrial bioenergetic dysfunction, including low PGC-1α/ERRα signaling and downregulated oxidative phosphorylation and mitochondrial proteostasis genes. These changes translated into fewer mitochondria, reduced respiratory complex expression and activity, and 32% lower muscle NAD+ through perturbed NAD+ biosynthesis and salvage.

Key findings

  • In the Singapore Sarcopenia Study (SSS), 179 genes were altered in sarcopenic muscle at FDR < 10% (133 downregulated, 46 upregulated), with 133 genes annotated to the mitochondrion GO term; oxidative phosphorylation, mitochondrial respiratory chain, and TCA cycle gene sets were repressed at FDR < 10E−10, and age-adjusted gene ranks were highly conserved (Spearman rs = 0.95).
  • Mitochondrial dysfunction replicated across ethnicities: HSS and JSS showed lower oxidative phosphorylation, mitochondrial respiratory ETC, and TCA cycle gene sets at FDR < 10E−04 and 10%, respectively; low ALMi and low muscle function also associated with depleted mitochondrial gene sets.
  • Functional validation showed NDUFA9, SDHa, UQCR2, and ATP5a protein levels down by 44–51%, lower complexes I–IV activity, strongly reduced citrate synthase and succinate dehydrogenase activity, and 32% lower muscle NAD+; NAD+ correlated positively with ALMi, grip strength, gait speed, and complex I activity, while NMNAT1 and NAMPT were reduced and CD38, PARPs, and sirtuins were not increased.
  • Other signatures included repressed mTOR signaling (FDR = 1.2E−02) but less than OXPHOS; no denervation/NMJ or inflammatory signatures except weak inflammation in JSS; ALMi associated with 318 genes at FDR < 10%, whereas grip strength and gait speed associated with only 7 and 9 genes at nominal p < 0.001 but FDR > 10%.

Methods

  • Multi-ethnic case-control MEMOSA study of 119 older men from Singapore (SSS), Hertfordshire UK (HSS), and Jamaica (JSS); SSS included 20 sarcopenic Chinese men and 20 age-matched controls, HSS included 40 Caucasian men, and JSS included 40 Afro-Caribbean men. Sarcopenia was defined by AWGSOP (SSS) or EWGSOP (HSS/JSS) criteria using ALMi, grip strength, and gait speed.
  • Vastus lateralis muscle biopsies were profiled by high-coverage total RNA sequencing (>70 million reads per sample; SSS 75–104 million, HSS 51–110 million, JSS 55–88 million); differential expression used limma/edgeR, pathway enrichment used CAMERA with MSigDB, and selected genes were validated by nanoString nCounter.
  • Functional assays included mitochondrial enzymatic activity on mitochondrial fractions from 15–30 mg muscle, western blot for respiratory complex subunits and mitochondrial proteins, and NAD+ quantification in remaining biopsies, benchmarked against UHPLC-MS.

Limitations

  • Stated: NAD+ results require further validation because they were analyzed in a subset of SSS individuals with sufficient remaining muscle biopsy (Fig. 6b, n = 4–6 per group); complex IV western blot was detected in less than 20% of samples and was excluded from analysis.
  • Stated/evident: the cross-sectional case-control design cannot establish causality, and all cohorts were older men, so findings may not generalize to women.
  • Evident: functional validation sample sizes were small and varied by assay and cohort; replication cohorts had variable sample sizes per phenotype (e.g., NAD+ metabolic process gene-set analysis n = 4–28 per group), and no independent prospective validation is reported.

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Integrity signals

Registry

Crossref · 10.1038/s41467-019-13694-1

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

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Figures

Fig. 1 RNA sequencing of human skeletal muscle in SSS. a Volcano plot of differentially expressed genes in skeletal muscle of sarcopenic vs. age-matched healthy older people. p-values were calculated using moderated t-statistic. The 133 genes downregulated and 46 genes upregulated in sarcopenic muscle using a false-discovery rate (FDR) < 10% are represented in green. b Heatmap showing the 179 genes differentially expressed from (a) with FDR < 10%. Genes belonging to the cellular component GO term “mitochondrion” (GO:0005739) are labeled with a green tick. c Validation of gene expression changes in sarcopenic muscle of SSS for selected genes using quantitative mRNA profiling by nanoString nCounter; mRNA expression values are normalized to ten stable housekeeping genes. n = 40 muscle samples analyzed with a two sided t test. d Network representation of the protein-protein interactions of genes differentially regulated in sarcopenic muscle at FDR < 10% using STRING. Nodes with an interaction score > 0.9 are represented and colored by biological function. e Gene ontology enrichment of the genes regulated in sarcopenic muscle. Pie-chart represents the % of differentially expressed genes, *p < 0.05 and **p < 0.01 based on hypergeometric distribution tests. In a, b, d, e, n = 19–20 muscle samples per group from SSS participants.
Fig. 1 RNA sequencing of human skeletal muscle in SSS. a Volcano plot of differentially expressed genes in skeletal muscle of sarcopenic vs. age-matched healthy older people. p-values were calculated using moderated t-statistic. The 133 genes downregulated and 46 genes upregulated in sarcopenic muscle using a false-discovery rate (FDR) < 10% are represented in green. b Heatmap showing the 179 genes differentially expressed from (a) with FDR < 10%. Genes belonging to the cellular component GO term “mitochondrion” (GO:0005739) are labeled with a green tick. c Validation of gene expression changes in sarcopenic muscle of SSS for selected genes using quantitative mRNA profiling by nanoString nCounter; mRNA expression values are normalized to ten stable housekeeping genes. n = 40 muscle samples analyzed with a two sided t test. d Network representation of the protein-protein interactions of genes differentially regulated in sarcopenic muscle at FDR < 10% using STRING. Nodes with an interaction score > 0.9 are represented and colored by biological function. e Gene ontology enrichment of the genes regulated in sarcopenic muscle. Pie-chart represents the % of differentially expressed genes, *p < 0.05 and **p < 0.01 based on hypergeometric distribution tests. In a, b, d, e, n = 19–20 muscle samples per group from SSS participants.CC BY · PubMed Central
Fig. 2 Mitochondrial dysfunction is the major transcriptional change during sarcopenia in SSS. a Gene-set enrichment analysis of sarcopenic vs control muscle using CAMERA and the C2 curated gene set collection from MSigDB. Gene sets are ordered according to the significance of their enrichment; only gene sets with an FDR < 0.1% and a gene overlap < 75% are represented. White arrows highlight gene sets linked to the transcriptional regulation of mitochondrial function; gray arrows highlight gene sets linked to protein synthesis. b Enrichment plot for the oxidative phosphorylation gene set “Mootha_VOxPhos; M18264”. c mRNA expression of transcriptional regulators of mitochondrial function in SSS sarcopenic vs. control muscle. d Enrichment plot for PGC-1α target genes and ERRα target gene set (“Mootha_PGC1a; M9788” and “Stein_ESRRa_Up; M18491”). e Transcription factor binding site enrichment of the 4 kb promoters of genes regulated in sarcopenic muscle at FDR q-value < 0.05. x-axis represents the MsigDB transcription factor gene sets that passed the significance threshold. f ERRα and NRF1 binding motif in the proximal and distal regions flanking the transcriptional start site (TSS) of the genes regulated in sarcopenic muscle at FDR q-value < 0.05. Benjamini Hochberg-corrected median-adjusted q-values were computed by performing 1000 hypergeometric test permutations. g–i mRNA expression of genes regulating mitochondrial dynamics (g), mitochondrial ribosomal protein genes (h), and UPRmt genes (i) in SSS sarcopenic vs. control muscle. In c, g–i, nominal p values of the moderated t-statistic are reported. For all panels, n = 19–20 muscle samples per group from SSS participants.
Fig. 2 Mitochondrial dysfunction is the major transcriptional change during sarcopenia in SSS. a Gene-set enrichment analysis of sarcopenic vs control muscle using CAMERA and the C2 curated gene set collection from MSigDB. Gene sets are ordered according to the significance of their enrichment; only gene sets with an FDR < 0.1% and a gene overlap < 75% are represented. White arrows highlight gene sets linked to the transcriptional regulation of mitochondrial function; gray arrows highlight gene sets linked to protein synthesis. b Enrichment plot for the oxidative phosphorylation gene set “Mootha_VOxPhos; M18264”. c mRNA expression of transcriptional regulators of mitochondrial function in SSS sarcopenic vs. control muscle. d Enrichment plot for PGC-1α target genes and ERRα target gene set (“Mootha_PGC1a; M9788” and “Stein_ESRRa_Up; M18491”). e Transcription factor binding site enrichment of the 4 kb promoters of genes regulated in sarcopenic muscle at FDR q-value < 0.05. x-axis represents the MsigDB transcription factor gene sets that passed the significance threshold. f ERRα and NRF1 binding motif in the proximal and distal regions flanking the transcriptional start site (TSS) of the genes regulated in sarcopenic muscle at FDR q-value < 0.05. Benjamini Hochberg-corrected median-adjusted q-values were computed by performing 1000 hypergeometric test permutations. g–i mRNA expression of genes regulating mitochondrial dynamics (g), mitochondrial ribosomal protein genes (h), and UPRmt genes (i) in SSS sarcopenic vs. control muscle. In c, g–i, nominal p values of the moderated t-statistic are reported. For all panels, n = 19–20 muscle samples per group from SSS participants.CC BY · PubMed Central
Fig. 3 The transcriptional downregulation of mitochondrial bioenergetics in people with sarcopenia and low physical function is replicated in the HSS and JSS cohorts. Gene-set enrichment analysis on muscle RNA expression in the discovery cohort (SSS) and two replication cohorts of different ethnicity (HSS and JSS) using CAMERA and the C2 curated gene set collection from MSigDB. a Sarcopenia vs. control in SSS, HSS, and JSS cohorts. b Low appendicular lean mass index vs. control in SSS, HSS, and JSS cohorts. c Low muscle function (grip strength or gait speed) vs. control in SSS, HSS, and JSS cohorts. In the left panels, gene sets are ordered according to the significance of their association in the SSS cohort; only gene sets with an overlap between sets <75% and an FDR < 1% in SSS and at least one other cohort are reported. The significance threshold of 10% FDR is represented by dashed gray lines and FDRs smaller than 10E−10 are trimmed. Right panels represent the enrichment plots for the “Mootha VOXPHOS” oxidative phosphorylation gene sets in the HSS and JSS cohorts (MSigDB reference M18264). For all panels, n = 39 (SSS and JSS) and n = 40 (HSS) muscle samples per cohort were stratified in the different phenotypes as described in Supplementary Table 2.
Fig. 3 The transcriptional downregulation of mitochondrial bioenergetics in people with sarcopenia and low physical function is replicated in the HSS and JSS cohorts. Gene-set enrichment analysis on muscle RNA expression in the discovery cohort (SSS) and two replication cohorts of different ethnicity (HSS and JSS) using CAMERA and the C2 curated gene set collection from MSigDB. a Sarcopenia vs. control in SSS, HSS, and JSS cohorts. b Low appendicular lean mass index vs. control in SSS, HSS, and JSS cohorts. c Low muscle function (grip strength or gait speed) vs. control in SSS, HSS, and JSS cohorts. In the left panels, gene sets are ordered according to the significance of their association in the SSS cohort; only gene sets with an overlap between sets <75% and an FDR < 1% in SSS and at least one other cohort are reported. The significance threshold of 10% FDR is represented by dashed gray lines and FDRs smaller than 10E−10 are trimmed. Right panels represent the enrichment plots for the “Mootha VOXPHOS” oxidative phosphorylation gene sets in the HSS and JSS cohorts (MSigDB reference M18264). For all panels, n = 39 (SSS and JSS) and n = 40 (HSS) muscle samples per cohort were stratified in the different phenotypes as described in Supplementary Table 2.CC BY · PubMed Central
Fig. 4 The transcriptional signature of sarcopenia in human muscle is mainly driven by the loss of appendicular lean mass index (ALMi) and grip strength. a Volcano plot of genes associated with ALMi, grip strength and gait speed as continuous variables. p-values were calculated using moderated t-statistics and coefficients of association represent the log2 fold change of gene expression per unit of variable of interest. Genes which are differentially regulated with sarcopenia at a FDR < 10% (Fig. 1a) are represented in black. b Gene-set enrichment analysis of genes associated with ALMi, grip strength, and gait speed as continuous variables using CAMERA and the C2 curated gene set collection from MSigDB. Gene sets are ordered according to the significance of their association with ALMi; only gene sets with an FDR < 10% in at least one association and with a gene overlap <75% are represented. The significance threshold of 10% FDR is represented by black vertical lines and FDRs smaller than 10E−10 are trimmed at 10E−10. For all panels, n = 39 SSS muscle samples.
Fig. 4 The transcriptional signature of sarcopenia in human muscle is mainly driven by the loss of appendicular lean mass index (ALMi) and grip strength. a Volcano plot of genes associated with ALMi, grip strength and gait speed as continuous variables. p-values were calculated using moderated t-statistics and coefficients of association represent the log2 fold change of gene expression per unit of variable of interest. Genes which are differentially regulated with sarcopenia at a FDR < 10% (Fig. 1a) are represented in black. b Gene-set enrichment analysis of genes associated with ALMi, grip strength, and gait speed as continuous variables using CAMERA and the C2 curated gene set collection from MSigDB. Gene sets are ordered according to the significance of their association with ALMi; only gene sets with an FDR < 10% in at least one association and with a gene overlap <75% are represented. The significance threshold of 10% FDR is represented by black vertical lines and FDRs smaller than 10E−10 are trimmed at 10E−10. For all panels, n = 39 SSS muscle samples.CC BY · PubMed Central
Fig. 5 Mitochondrial bioenergetic activity is decreased in sarcopenic muscle. a Schematic representation of a mitochondrion and the five respiratory complexes of the electron transport chain. b Gene expression change in sarcopenic vs. control muscle of mRNAs encoding the subunits of the 5 mitochondrial respiratory chain complexes, color coded according to moderated t-statistics (SSS cohort; n = 19–20 per group). c, d Muscle protein expression of representative subunits of mitochondrial respiratory chain complexes and mitochondrial proteins measured by western blot. c Representative blots from one gel, with GAPDH and HSC70 included as house-keeping normalization controls. d Quantification of protein levels relative to GAPDH and HSC70 in all remaining samples analyzed (SSS cohort; n = 15–16 per group; p values calculated using Mann–Whitney tests). e Enzymatic activity per mg muscle tissue of mitochondrial complexes I–IV, citrate synthase (CS) and succinate dehydrogenase (SDH) measured on mitochondrial extracts from remaining muscle biopsies of control and sarcopenic participants (SSS cohort; n = 18 per group; p values calculated with Mann–Whitney tests). f, g Muscle protein expression of porin 1 and CS measured by western blot on remaining muscle samples of the SSS cohort (n = 20 per group; p values calculated with Mann–Whitney tests).
Fig. 5 Mitochondrial bioenergetic activity is decreased in sarcopenic muscle. a Schematic representation of a mitochondrion and the five respiratory complexes of the electron transport chain. b Gene expression change in sarcopenic vs. control muscle of mRNAs encoding the subunits of the 5 mitochondrial respiratory chain complexes, color coded according to moderated t-statistics (SSS cohort; n = 19–20 per group). c, d Muscle protein expression of representative subunits of mitochondrial respiratory chain complexes and mitochondrial proteins measured by western blot. c Representative blots from one gel, with GAPDH and HSC70 included as house-keeping normalization controls. d Quantification of protein levels relative to GAPDH and HSC70 in all remaining samples analyzed (SSS cohort; n = 15–16 per group; p values calculated using Mann–Whitney tests). e Enzymatic activity per mg muscle tissue of mitochondrial complexes I–IV, citrate synthase (CS) and succinate dehydrogenase (SDH) measured on mitochondrial extracts from remaining muscle biopsies of control and sarcopenic participants (SSS cohort; n = 18 per group; p values calculated with Mann–Whitney tests). f, g Muscle protein expression of porin 1 and CS measured by western blot on remaining muscle samples of the SSS cohort (n = 20 per group; p values calculated with Mann–Whitney tests).CC BY · PubMed Central
Fig. 6 NAD+ levels are low in Sarcopenic muscle. a Gene-set enrichment plot of the “NAD metabolic process” (GO:0019674) on sarcopenic vs. control muscle mRNA in the discovery cohort (SSS, n = 19/20 per group) and 2 replication cohorts of different ethnicity (HSS, JSS; n = 4–28 per group as described in Supplementary Table 2). b NAD+ levels in remaining muscle biopsies of control and sarcopenic participants (SSS cohort, n = 4–6 per group; p values based on t-statistics). c Muscle NAD+ levels positively correlate to ALM-index, grip strength, gait speed, and mitochondrial complex I activity. Spearman rank correlation coefficient and its p value were calculated on n = 10 SSS muscle samples. d Muscle mRNA expression of NAD biosynthesis enzymes nicotinamide mononucleotide adenylyltransferase 1 (NMNAT1) and nicotinamide phosphoribosyltransferase (NAMPT) (SSS cohort; n = 19–20 per group; p values calculated with moderated t-statistics). e, f Muscle protein expression of CD38 by western blot on remaining muscle samples of SSS cohort (n = 13–14 per group; p values calculated with Mann–Whitney tests).
Fig. 6 NAD+ levels are low in Sarcopenic muscle. a Gene-set enrichment plot of the “NAD metabolic process” (GO:0019674) on sarcopenic vs. control muscle mRNA in the discovery cohort (SSS, n = 19/20 per group) and 2 replication cohorts of different ethnicity (HSS, JSS; n = 4–28 per group as described in Supplementary Table 2). b NAD+ levels in remaining muscle biopsies of control and sarcopenic participants (SSS cohort, n = 4–6 per group; p values based on t-statistics). c Muscle NAD+ levels positively correlate to ALM-index, grip strength, gait speed, and mitochondrial complex I activity. Spearman rank correlation coefficient and its p value were calculated on n = 10 SSS muscle samples. d Muscle mRNA expression of NAD biosynthesis enzymes nicotinamide mononucleotide adenylyltransferase 1 (NMNAT1) and nicotinamide phosphoribosyltransferase (NAMPT) (SSS cohort; n = 19–20 per group; p values calculated with moderated t-statistics). e, f Muscle protein expression of CD38 by western blot on remaining muscle samples of SSS cohort (n = 13–14 per group; p values calculated with Mann–Whitney tests).CC BY · PubMed Central

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  • Probably not a substantial claim. 11
  • It may state two separate claims as one. 17
24 of 24
  • The paper relies on this without support.

    Little is known about the molecular processes of pathological sarcopenia compared with healthy muscle aging.

    “While the molecular processes associated with the average functional decline of muscle in the healthy population have been well studied, little is known about the pathological state of sarcopenia, the pathological muscle wasting and weakness of the old age recently assigned an ICD-10 disease code due to its negative impact on physical function, quality of life, and survival6,19–21.”
  • The paper relies on this without support.

    The clinical definition of sarcopenia is standardized enough to characterize a molecular signature of sarcopenia in older people.

    “Standardization of the clinical definition now provides an opportunity to characterize the molecular “signature” of sarcopenia in older people.”
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Metadata

Authors
Migliavacca, E., Tay, S. K. H., Patel, H. P., Sonntag, T., Civiletto, G., McFarlane, C., Forrester, T., Barton, S. J., Leow, M. K., Antoun, E., Charpagne, A., Seng Chong, Y., Descombes, P., Feng, L., Francis-Emmanuel, P., Garratt, E. S., Giner, M. P., Green, C. O., Karaz, S., Kothandaraman, N., Marquis, J., Metairon, S., Moco, S., Nelson, G., Ngo, S., Pleasants, T., Raymond, F., Sayer, A. A., Ming Sim, C., Slater-Jefferies, J., Syddall, H. E., Fang Tan, P., Titcombe, P., Vaz, C., Westbury, L. D., Wong, G., Yonghui, W., Cooper, C., Sheppard, A., Godfrey, K. M., Lillycrop, K. A., Karnani, N., & Feige, J. N.
Affiliations
  • École Polytechnique Fédérale de Lausanne (CH)
  • National University of Singapore (SG)
  • University Hospital Southampton NHS Foundation Trust (GB)
  • James Cook University (AU)
  • University of the West Indies (JM)
  • MRC Lifecourse Epidemiology Unit (GB)
  • Agency for Science, Technology and Research (SG)
  • University of Southampton (GB)
  • University of Auckland (NZ)
  • NIHR Newcastle Biomedical Research Centre (GB)
Corresponding author
  • Godfrey, Keith M.
  • Lillycrop, Karen A.
  • Karnani, Neerja
Venue
Nature Communications
Published
2019-12-20
Volume
10
Issue
1
Pages
5808-5808
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2992356442
Cited by
365
References
75
Citations by year
2026: 66 · 2025: 74 · 2024: 65 · 2023: 56 · 2022: 50 · 2021: 37 · 2020: 16
FWCI
8.52
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ResearchOnline at James Cook University (James Cook University) (submittedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
  • National University of Singapore (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Funders
  • University Hospital Southampton NHS Foundation Trust
  • National Institute for Health and Care Research (NF-SI-0515-10042, NIHR200286, NF-SI-0508-10082, U24AG047867, 289346, CL-2011-26-002, NF-SI-0617-10109, NF-SI-0513-10085)
  • National Osteoporosis Society
  • University of Southampton
  • University of Oxford
  • European Commission (FP7/2007, 289346)
  • Agency for Science, Technology and Research
  • National University of Singapore
  • Singapore Institute for Clinical Sciences
  • International Osteoporosis Foundation
  • National Institute for Health Research Southampton Biomedical Research Centre (289346)
  • National Institutes of Health
  • Directorate for Biological Sciences
  • Medical Research Council (MC_UU_20/4, MC_UU_12011/4, MC_UU_12011/2, MC_U47585827, MC_UU_12011/1, MC_ST_U2055)
  • Biotechnology and Biological Sciences Research Council (ES/M0099X)
  • Economic and Social Research Council
  • National Institute on Aging (U24AG047867)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
  • Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
Keywords
sarcopenia, mitochondrial oxidative capacity, NAD biosynthesis, NAD+ salvage pathway, skeletal muscle aging, oxidative phosphorylation, mitochondrial proteostasis, mitochondrial respiratory chain, mitochondrial mass, ethnic differences, older men
MeSH terms
Proteostasis, Aged, Aged, 80 and over, Aging, Biopsy, Energy Metabolism, United Kingdom, Humans, Jamaica, Male, Middle Aged, Mitochondria, NAD, Oxidation-Reduction, Oxidative Phosphorylation, Singapore, Case-Control Studies, Oxidative Stress, Muscle, Skeletal, Sarcopenia

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