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Genomic and Proteomic Profiling Reveals Reduced Mitochondrial Function and Disruption of the Neuromuscular Junction Driving Rat Sarcopenia
Open accessAbstract
Molecular mechanisms underlying sarcopenia, the age-related loss of skeletal muscle mass and function, remain unclear. To identify molecular changes that correlated best with sarcopenia and might contribute to its pathogenesis, we determined global gene expression profiles in muscles of rats aged 6, 12, 18, 21, 24, and 27 months. These rats exhibit sarcopenia beginning at 21 months. Correlation of the gene expression versus muscle mass or age changes, and functional annotation analysis identified gene signatures of sarcopenia distinct from gene signatures of aging. Specifically, mitochondrial energy metabolism (e.g., tricarboxylic acid cycle and oxidative phosphorylation) pathway genes were the most downregulated and most significantly correlated with sarcopenia. Also, perturbed were genes/pathways associated with neuromuscular junction patency (providing molecular evidence of sarcopenia-related functional denervation and neuromuscular junction remodeling), protein degradation, and inflammation. Proteomic analysis of samples at 6, 18, and 27 months confirmed the depletion of mitochondrial energy metabolism proteins and neuromuscular junction proteins. Together, these findings suggest that therapeutic approaches that simultaneously stimulate mitochondrogenesis and reduce muscle proteolysis and inflammation have potential for treating sarcopenia.
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“Accordingly, the reduction of the mitochondrial fusion machinery in muscle has been linked to age-related sarcopenia [185–187], and metabolic diseases like obesity and type 2 diabetes [188, 189] in both rodents and humans.”
From The connection between the dynamic remodeling of the mitochondrial network and the regulation of muscle mass (2021) · cites this paper as [185]
In the citing paper
“Muscle loss in aging sarcopenia [185, 187, 215], cancer cachexia, chemotherapy-induced cachexia [157–159], and in a model of myasthenia gravis [216], is characterized by the decline of both fusion and fission machinery.”
From The connection between the dynamic remodeling of the mitochondrial network and the regulation of muscle mass (2021) · cites this paper as [185]
In the citing paper
“However, muscle loss in aging sarcopenia, cancer cachexia, and myasthenia gravis are characterized by the decline of both fusion machinery and fission machinery [6,11,12,15,16,17,18].”
From Inhibition of the Fission Machinery Mitigates OPA1 Impairment in Adult Skeletal Muscles (2019) · cites this paper as [11]
In the citing paper
“both the mRNA level and the protein abundance of important fusion and fission proteins have been reported to be lower in old as compared to young adult skeletal muscle (55)”
From Mitochondria initiate and regulate sarcopenia (2017) · cites this paper as [55]
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“Together, these observations support for the idea that muscle mitochondria are important regulators of muscle size.”
From Mitochondria initiate and regulate sarcopenia (2017) · cites this paper as [55]
In the citing paper
“Denervation and neuromuscular dysfunction are well-recognized as important contributors to sarcopenia.”
From Skeletal muscle aging, cellular senescence, and senotherapeutics: current knowledge and future directions (2021) · cites this paper as Ibebunjo et al., 2013
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1 retracted
Wenz, T., Rossi, S. G., Rotundo, R. L., Spiegelman, B. M., & Moraes, C. T. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911570106 · Cited by 600
RetractedControlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Analyzing real-time PCR data by the comparative CT method
Schmittgen, T. D., & Livak, K. J. (2008) · Nature Protocols · doi:10.1038/nprot.2008.73 · Cited by 26,190
Guide for the Care and Use of Laboratory Animals: Eighth Edition
(2011) · doi:10.17226/12910 · Cited by 16,199
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,082
Self-citationGentleman R: R: A language for data analysis and graphics
Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,747
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
Elias, J. E., & Gygi, S. P. (2007) · Nature Methods · doi:10.1038/nmeth1019 · Cited by 3,925
Self-citationIdentification of ubiquitin ligases required for skeletal muscle atrophy.
Bodine, S. C., Latres, E., Baumhueter, S., Lai, V. K.-M., Nunez, L., Clarke, B. A., Poueymirou, W. T., Panaro, F. J., Na, E., Dharmarajan, K., et al. (2001) · Science · doi:10.1126/science.1065874 · Cited by 3,521
Self-citationA "DIRECT-COLORING" THIOCHOLINE METHOD FOR CHOLINESTERASES
Karnovsky, M. J., & ROOTS, L. (1964) · Journal of Histochemistry & Cytochemistry · doi:10.1177/12.3.219 · Cited by 3,368
Rappsilber, J., Ishihama, Y., & Mann, M. (2002) · Analytical Chemistry · doi:10.1021/ac026117i · Cited by 2,627
Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation
Merico, D., Isserlin, R., Stueker, O., Emili, A., & Bader, G. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013984 · Cited by 2,235
Stitt, T. N., Drujan, D., Clarke, B. A., Panaro, F., Timofeyva, Y., Kline, W. O., Gonzalez, M., Yancopoulos, G. D., & Glass, D. J. (2004) · Molecular Cell · doi:10.1016/s1097-2765(04)00211-4 · Cited by 1,964
Self-citationAtrogin-1, a muscle-specific F-box protein highly expressed during muscle atrophy
Gomes, M. D., Lecker, S. H., Jagoe, R. T., Navon, A., & Goldberg, A. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.251541198 · Cited by 1,774
Gene expression profile of aging and its retardation by caloric restriction
Lee, C.-K., Klopp, R. G., Weindruch, R., & Prolla, T. A. (1999) · Science · doi:10.1126/science.285.5432.1390 · Cited by 1,473
Muscle Biopsy: A Practical Approach
Dubowitz, V., Sewry, C. A., Oldfors, A., & Lane, R. J. M. (2020) · Cited by 1,335
Human aging, muscle mass, and fiber type composition.
Evans, W. J., & Lexell, J. (1995) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/50a.special_issue.11 · Cited by 1,308
A simplified method for the analysis of hydroxyproline in biological tissues
Reddy, G. K., & Enwemeka, C. S. (1996) · Clinical Biochemistry · doi:10.1016/0009-9120(96)00003-6 · Cited by 1,299
Skeletal Muscle Cutpoints Associated with Elevated Physical Disability Risk in Older Men and Women
Janssen, I. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh058 · Cited by 1,190
The role of exercise and PGC1α in inflammation and chronic disease
Handschin, C., & Spiegelman, B. M. (2008) · Nature · doi:10.1038/nature07206 · Cited by 1,083
Sandri, M., Lin, J., Handschin, C., Yang, W., Arany, Z. P., Lecker, S. H., Goldberg, A. L., & Spiegelman, B. M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607795103 · Cited by 974
Skeletal Muscle Strength as a Predictor of All-Cause Mortality in Healthy Men
Metter, E. J., Talbot, L. A., Schrager, M., & CONWIT, R. A. (2002) · The Journals of Gerontology Series A · doi:10.1093/gerona/57.10.b359 · Cited by 854
Trounce, I. A., Kim, Y. L., Jun, A. S., & Wallace, D. C. (1996) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(96)64044-0 · Cited by 749
Meta-analysis of age-related gene expression profiles identifies common signatures of aging
de Magalhães, J. P., Curado, J., & Church, G. M. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp073 · Cited by 737
Aagaard, P., Suetta, C., Caserotti, P., Magnusson, S. P., & Kjær, M. (2010) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/j.1600-0838.2009.01084.x · Cited by 709
Stable-Isotope Dimethyl Labeling for Quantitative Proteomics
Hsu, J., Huang, S., Chow, N.-H., & Chen, S. (2003) · Analytical Chemistry · doi:10.1021/ac0348625 · Cited by 701
Transcriptional Control of Mitochondrial Biogenesis and Function
Hock, M. B., & Kralli, A. (2009) · Annual Review of Physiology · doi:10.1146/annurev.physiol.010908.163119 · Cited by 626
Sacheck, J. M., Hyatt, J. K., Raffaello, A., Thomas Jagoe, R., Roy, R. R., Reggie Edgerton, V., Lecker, S. H., & Goldberg, A. L. (2007) · The FASEB Journal · doi:10.1096/fj.06-6604com · Cited by 585 · cited 1×
“Common to sarcopenia, denervation, and systemic wasting (cachexia) is depression of mitochondrial energy metabolism pathways and variable upregulation of protein degradation pathways (64), whereas upregulation of neuromuscular junction genes is common to both sarcopenia and denervation but not cachexia, and overexpres…”
BackgroundBalagopal, P., Rooyackers, O., Adey, D., Ades, P. A., & Nair, K. S. (1997) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1997.273.4.e790 · Cited by 541
Lenk, K., Schuler, G. C., & Adams, V. (2010) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1007/s13539-010-0007-1 · Cited by 498
Kayo, T., Allison, D. B., Weindruch, R., & Prolla, T. A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.081061898 · Cited by 384
Janssen, A. J. M., Trijbels, F. J. M., Sengers, R. C. A., Smeitink, J. A. M., van den Heuvel, L. P., Wintjes, L. T., Stoltenborg-Hogenkamp, B. J. M., & Rodenburg, R. J. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2006.078873 · Cited by 373
Birch‐Machin, M. A., & Turnbull, D. M. (2001) · Methods in cell biology · doi:10.1016/s0091-679x(01)65006-4 · Cited by 367
Gene expression profile of aging in human muscle
Welle, S. L., Brooks, A. I., Delehanty, J. M., Needler, N. A., & Thornton, C. A. (2003) · Physiological Genomics · doi:10.1152/physiolgenomics.00049.2003 · Cited by 364
Transcriptional profiling of aging in human muscle reveals a common aging signature
Zahn, J. M., Sonu, R., Vogel, H., Crane, E., Mazan-Mamczarz, K., Rabkin, R., Davis, R. W., Becker, K. G., Owen, A. B., & Kim, S. K. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020115 · Cited by 351
Aging, muscle fiber type, and contractile function in sprint-trained athletes
Korhonen, M. T., Cristea, A., Alén, M., Häkkinen, K., Sipilä, S., Mero, A. A., Viitasalo, J. T., Larsson, L., & Suominen, H. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00299.2006 · Cited by 315
Catabolism of aging: is it an inflammatory process?
Roubenoff, R. (2003) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/01.mco.0000068965.34812.62 · Cited by 308
Muscle fiber size and function in elderly humans: a longitudinal study
Frontera, W. R., Reid, K. F., Phillips, E. M., Krivickas, L. S., HUGHES, V. A., Roubenoff, R., & Fielding, R. A. (2008) · Journal of Applied Physiology · doi:10.1152/japplphysiol.90332.2008 · Cited by 285
Identification of a molecular signature of sarcopenia
Giresi, P. G., Stevenson, E. J., Theilhaber, J., Koncarevic, A., Parkington, J. D., Fielding, R. A., & Kandarian, S. C. (2005) · Physiological Genomics · doi:10.1152/physiolgenomics.00249.2004 · Cited by 265
Lexell, J. E., Sjöstróm, M., Nordlund, A., & Taylor, C. C. (1992) · Muscle & Nerve · doi:10.1002/mus.880150323 · Cited by 226
Boersema, P. J., Aye, T. T., van Veen, T. A. B., Heck, A. J. R., & Mohammed, S. (2008) · PROTEOMICS · doi:10.1002/pmic.200800297 · Cited by 220
Aberrant mitochondrial homeostasis in the skeletal muscle of sedentary older adults
Safdar, A., Hamadeh, M. J., Kaczor, J. J., Raha, S., deBeer, J., & Tarnopolsky, M. A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010778 · Cited by 217
Rieu, I., Magne, H., Savary‐Auzeloux, I., Avérous, J., Bos, C., Peyron, M., Combaret, L., & Dardevet, D. P. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.178319 · Cited by 193
Muscle Biopsy: A Practical Approach
Wiles, C. M. (1986) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.49.7.852 · Cited by 188
Variability in muscle fibre areas in whole human quadriceps muscle: effects of increasing age.
Lexell, J. E., & Taylor, C. C. (1991) · Europe PMC (PubMed Central) · Cited by 185
Differential proteome analysis of aging in rat skeletal muscle
Piec, I., Listrat, A., Alliot, J., Chambon, C., Taylor, R. G., & Béchet, D. (2005) · The FASEB Journal · doi:10.1096/fj.04-3084fje · Cited by 181
Fredriksson, K., Tjäder, I., Keller, P., Petrovič, N., Ahlman, B. H. J., Schéele, C., Wernerman, J., Timmons, J. A., & Rooyackers, O. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003686 · Cited by 168
Mitochondria and PGC-1α in Aging and Age-Associated Diseases
Wenz, T. (2011) · Journal of Aging Research · doi:10.4061/2011/810619 · Cited by 152
The role of hormones, cytokines and heat shock proteins during age-related muscle loss
Lee, C. E., McArdle, A., & Griffiths, R. (2007) · Clinical Nutrition · doi:10.1016/j.clnu.2007.05.005 · Cited by 141
Recent advances in the biology and therapy of muscle wasting
Glass, D. J., & Roubenoff, R. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05809.x · Cited by 130
Self-citationMolecular genetic studies of gene identification for sarcopenia
Tan, L., Liu, S., Lei, S., Papasian, C. J., & Deng, H. (2011) · Human Genetics · doi:10.1007/s00439-011-1040-7 · Cited by 115
Takahira, M., & Hughes, B. A. (1997) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.1997.273.3.c790 · Cited by 114
Hagen, J. L., Krause, D. J., Baker, D. J., Fu, M. H., Tarnopolsky, M. A., & Hepple, R. T. (2004) · The Journals of Gerontology Series A · doi:10.1093/gerona/59.11.1099 · Cited by 113
Mortality and growth characteristics of rat strains commonly used in aging research
Masoro, E. J. (1980) · Experimental Aging Research · doi:10.1080/03610738008258359 · Cited by 107
Picrosirius Red Staining of Cardiac Muscle Following Phosphomolybdic Acid Treatment
Dolber, P. C., & Spach, M. S. (1987) · Stain Technology · doi:10.3109/10520298709107961 · Cited by 103
Kimball, S. R., O’Malley, J. P., Anthony, J. C., Crozier, S. J., & Jefferson, L. S. (2004) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00535.2003 · Cited by 93
Calura, E., Cagnin, S., Raffaello, A., Laveder, P., Lanfranchi, G., & Romualdi, C. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-630 · Cited by 67
Rice, K. M., Linderman, J. K., Kinnard, R. S., & Blough, E. R. (2005) · Biogerontology · doi:10.1007/s10522-005-4808-0 · Cited by 60
An exploration of the association between frailty and muscle fatigue
Theou, O., Jones, G. R., Overend, T. J., Kloseck, M., & Vandervoort, A. A. (2008) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h08-058 · Cited by 59
RISE AND FALL OF SKELETAL MUSCLE SIZE OVER THE ENTIRE LIFE SPAN
Arts, I. M. P., Pillen, S., Overeem, S., Schelhaas, H. J., & Zwarts, M. J. (2007) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01228.x · Cited by 53
Gray, C. D., MacGillivray, T., Eeley, C., Stephens, N. A., Beggs, I., Fearon, K. C. H., & Greig, C. A. (2010) · Clinical Nutrition · doi:10.1016/j.clnu.2010.07.012 · Cited by 52
Jespersen, J. G., Nedergaard, A., Reitelseder, S., Mikkelsen, U. R., Dideriksen, K., Agergaard, J., Kreiner, F. F., Pott, F. C., Schjerling, P., & Kjær, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018090 · Cited by 50
Hepple, R. T., Ross, K. D., & Rempfer, A. B. (2004) · The Journals of Gerontology Series A · doi:10.1093/gerona/59.2.b108 · Cited by 50
Age-related skeletal muscle atrophy in humans: an immunohistochemical and morphometric study.
Nikolić, M., Malnar, D., Bobinac, D., Bajek, S., Jerković, R., & Šoić-Vranić, T. (2001) · PubMed · Cited by 47
Inoue, N., Kondo, T., Kobayashi, K., Aoki, M., Numaguchi, Y., Shibuya, M., & Murohara, T. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000251504.61247.d5 · Cited by 26
Jósza, L., Lehto, M. U. K., Järvinen, M., Kvist, M. H., Réffy, A., & Kannus, P. (1993) · Acta Histochemica · doi:10.1016/s0065-1281(11)80344-2 · Cited by 17
Using whole-genome transcriptional analyses to identify molecular mechanisms of aging
Murphy, C. T. (2006) · Drug Discovery Today Disease Mechanisms · doi:10.1016/j.ddmec.2006.02.012 · Cited by 11
Flagged first, then by citations
Research works printed but not linked: 5
- Lexell J, 1995, J. Gerontol. A Biol. Sci. Med. Sci., 50, 11
- Nikolic M, 2001, Coll. Antropol., 25, 545
- Lexell J, 1991, J. Anat., 174, 239
- Team RDC, 2004, A language and environment for statistical computing
- Affymetrix, 2005, Guide to probe logarithmic intensity error (PLIER) estimation
Cited by
Sorted by citations
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Larsson, L., Degens, H., Li, M., Salviati, L., Lee, Y. I., Thompson, W., Kirkland, J. L., & Sandri, M. (2019) · Physiological Reviews · doi:10.1152/physrev.00061.2017 · Cited by 1,797
Muscle wasting in disease: molecular mechanisms and promising therapies
Cohen, S., Nathan, J. A., & Goldberg, A. L. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4467 · Cited by 1,089
Tezze, C., Romanello, V., Desbats, M. A., Fadini, G. P., Albiero, M., Favaro, G., Ciciliot, S., Soriano, M. E., Morbidoni, V., Cerqua, C., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.021 · Cited by 568
“Age-Related Muscle Loss in Humans and Mice Is Associated with Decreased OPA1 Expression Aging has been reported to be accompanied by numerous functional alterations of mitochondria, including changes of mitochondrial dynamics (Ibebunjo et al., 2013).”
Signaling pathways controlling skeletal muscle mass
Egerman, M. A., & Glass, D. J. (2014) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.3109/10409238.2013.857291 · Cited by 555
Self-citationMaintenance of Skeletal Muscle Mitochondria in Health, Exercise, and Aging
Hood, D. A., Memme, J. M., Oliveira, A. N., & Triolo, M. (2019) · Annual Review of Physiology · doi:10.1146/annurev-physiol-020518-114310 · Cited by 567
Metadata
- Authors
- Ibebunjo, C., Chick, J. M., Kendall, T., Eash, J. K., Li, C., Zhang, Y., Vickers, C., Wu, Z., Clarke, B. A., Shi, J., Cruz, J., Fournier, B., Brachat, S., Gutzwiller, S., Ma, Q., Markovits, J., Broome, M., Steinkrauss, M., Skuba, E., Galarneau, J.-R., Gygi, S. P., & Glass, D. J.
- Affiliations
- Muscle Diseases Group, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
- Harvard University (US)
- Novartis Institutes for BioMedical Research (CH)
- Cardiovascular and Metabolic Diseases, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
- Developmental and Molecular Pathways, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
- Preclinical Safety Sciences, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2013-01-01
- Volume
- 33
- Issue
- 2
- Pages
- 194-212
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- PMC
- PMC3554128
- OpenAlex
- W2097103188
- Cited by
- 267
- References
- 68
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 18 · 2023: 22 · 2022: 15 · 2021: 30 · 2020: 23 · 2019: 30 · 2018: 22 · 2017: 20 · 2016: 25 · 2015: 20 · 2014: 20 · 2013: 6
- FWCI
- 5.88
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Molecular and Cellular Biology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- 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, skeletal muscle aging, mitochondrial bioenergetics, oxidative phosphorylation, TCA cycle, neuromuscular junction, muscle protein degradation, muscle inflammation, gene expression profiling, proteomic profiling, mitochondrial dysfunction, rat model
- MeSH terms
- Aging, Animals, DNA, Mitochondrial, Energy Metabolism, Immunohistochemistry, Male, Mitochondria, Neuromuscular Junction, Postmortem Changes, Signal Transduction, Up-Regulation, Linear Models, Rats, Sprague-Dawley, Muscle, Skeletal, Reverse Transcriptase Polymerase Chain Reaction, Proteome, Gene Expression Profiling, Proteomics, Microarray Analysis, Rats, Muscle Strength, Sarcopenia, Transcriptome
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