The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Molecular Networks of Human Muscle Adaptation to Exercise and Age
Open accessAbstract
Physical activity and molecular ageing presumably interact to precipitate musculoskeletal decline in humans with age. Herein, we have delineated molecular networks for these two major components of sarcopenic risk using multiple independent clinical cohorts. We generated genome-wide transcript profiles from individuals (n = 44) who then undertook 20 weeks of supervised resistance-exercise training (RET). Expectedly, our subjects exhibited a marked range of hypertrophic responses (3% to +28%), and when applying Ingenuity Pathway Analysis (IPA) up-stream analysis to ~580 genes that co-varied with gain in lean mass, we identified rapamycin (mTOR) signaling associating with growth (P = 1.4 × 10(-30)). Paradoxically, those displaying most hypertrophy exhibited an inhibited mTOR activation signature, including the striking down-regulation of 70 rRNAs. Differential analysis found networks mimicking developmental processes (activated all-trans-retinoic acid (ATRA, Z-score = 4.5; P = 6 × 10(-13)) and inhibited aryl-hydrocarbon receptor signaling (AhR, Z-score = -2.3; P = 3 × 10(-7))) with RET. Intriguingly, as ATRA and AhR gene-sets were also a feature of endurance exercise training (EET), they appear to represent "generic" physical activity responsive gene-networks. For age, we found that differential gene-expression methods do not produce consistent molecular differences between young versus old individuals. Instead, utilizing two independent cohorts (n = 45 and n = 52), with a continuum of subject ages (18-78 y), the first reproducible set of age-related transcripts in human muscle was identified. This analysis identified ~500 genes highly enriched in post-transcriptional processes (P = 1 × 10(-6)) and with negligible links to the aforementioned generic exercise regulated gene-sets and some overlap with ribosomal genes. The RNA signatures from multiple compounds all targeting serotonin, DNA topoisomerase antagonism, and RXR activation were significantly related to the muscle age-related genes. Finally, a number of specific chromosomal loci, including 1q12 and 13q21, contributed by more than chance to the age-related gene list (P = 0.01-0.005), implying possible epigenetic events. We conclude that human muscle age-related molecular processes appear distinct from the processes regulated by those of physical activity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The characterisation of individual responses is not a new phenomenon, but the results of studies of individuals undertaking resistance and endurance training in isolation suggest that 'low responders' to each exercise stimulus may be as high as 25% (Timmons et al., 2005;Phillips et al., 2013;Gurd et al., 2016).”
From Concurrent exercise training: do opposites distract? (2017) · cites this paper as Phillips et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
In silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F. Z., Miled, S. B., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,785
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568
Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257
Network pharmacology: the next paradigm in drug discovery
Hopkins, A. L. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.118 · Cited by 4,622
Janssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139 · cited 1×
“As the number of people living beyond their eighth decade rises, it is expected that skeletal muscle atrophy and dysfunction (sarcopenia and dynapenia respectively) will become an increasing public health challenge [73].”
BackgroundKenyon, C. J. (2010) · Nature · doi:10.1038/nature08980 · Cited by 2,739
Rommel, C., Bodine, S. C., Clarke, B. A., Rossman, R., Nunez, L., Stitt, T. N., Yancopoulos, G. D., & Glass, D. J. (2001) · Nature Cell Biology · doi:10.1038/ncb1101-1009 · Cited by 1,583
Navigating chemical space for biology and medicine
Lipinski, C. A., & Hopkins, A. L. (2004) · Nature · doi:10.1038/nature03193 · Cited by 1,028
Appendicular skeletal muscle mass: effects of age, gender, and ethnicity
Gallagher, D., Visser, M., De Meersman, R. E., Sepúlveda, D., Baumgartner, R. N., Pierson, R. N., Harris, T., & Heymsfield, S. B. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.1.229 · Cited by 966
Kumar, V., Selby, A., Rankin, D., Patel, R., Atherton, P., Hildebrandt, W., Williams, J., Smith, K., Seynnes, O., Hiscock, N., et al. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2008.164483 · Cited by 740 · cited 1×
“Many exogenous factors may influence RET-induced hypertrophy including manipulation of exercise volume [7], intensity [8] and adequate macronutrient availability [9] all of which interact with an individual’s genotype to determine muscle growth.”
BackgroundSelf-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–198 of 198
Impaired glucose and lipid metabolism in ageing aryl hydrocarbon receptor deficient mice
Biljes, D., Hammerschmidt-Kamper, C., Kadow, S., Diel, P. R., Weigt, C., Burkart, V., & Esser, C. (2015) · EXCLI journal · doi:10.17179/excli2015-638 · Cited by 26
Raizel, R., & Tirapegui, J. (2018) · Nutrire · doi:10.1186/s41110-018-0087-9 · Cited by 24
Emanuelsson, E. B., Arif, M., Reitzner, S. M., Perez, S., Lindholm, M. E., Mardinoğlu, A., Daub, C. O., Sundberg, C. J., & Chapman, M. A. (2023) · iScience · doi:10.1016/j.isci.2023.108638 · Cited by 24
Langer, H. T., West, D. W. D., Senden, J. M., Spuler, S., van Loon, L. J. C., & Baar, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-11621-x · Cited by 21
Masson, S. W. C., Madsen, S., Cooke, K. C., Potter, M., Díaz‐Vegas, A., Carroll, L., Thillainadesan, S., Cutler, H. B., Walder, K. R., Cooney, G. J., et al. (2023) · eLife · doi:10.7554/elife.86961 · Cited by 24
iGEMS: an integrated model for identification of alternative exon usage events
Sood, S., Szkop, K. J., Nakhuda, A., Gallagher, I. J., Murie, C., Brogan, R. J., Kaprio, J. A., Kainulainen, H., Atherton, P. J., Kujala, U. M., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw263 · Cited by 19
Self-citationPerformance trade-offs and individual quality in decathletes
Walker, J. A., & Caddigan, S. P. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.123380 · Cited by 20
Acute vs. chronic hypoxia: What are the consequences for skeletal muscle mass?
Deldicque, L., & Francaux, M. (2013) · doi:10.7457/cmep.v2i1 · Cited by 19
The acute transcriptional response to resistance exercise: impact of age and contraction mode
Deane, C. S., Ames, R. M., Phillips, B. E., Weedon, M. N., Willis, C. R. G., Boereboom, C., Abdulla, H., Bukhari, S. S. I., Lund, J. N., Williams, J. P., et al. (2019) · Aging · doi:10.18632/aging.101904 · Cited by 17
Self-citationWillis, C. R. G., Deane, C. S., Ames, R. M., Bass, J. J., Wilkinson, D. J., Smith, K., Phillips, B. E., Szewczyk, N. J., Atherton, P. J., & Etheridge, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-03393-7 · Cited by 18
Self-citationJohnson, M. L., Lanza, I. R., Short, D. K., Asmann, Y. W., & Nair, K. S. (2014) · Physiological Reports · doi:10.14814/phy2.12239 · Cited by 18
Genomic and transcriptomic predictors of triglyceride response to regular exercise
Sarzynski, M. A., Davidsen, P. K., Sung, Y. J., Hesselink, M. K. C., Schrauwen, P., Rice, T., Rao, D. C., Falciani, F., & Bouchard, C. (2015) · British Journal of Sports Medicine · doi:10.1136/bjsports-2015-095179 · Cited by 18
Self-citationAnabolic Heterogeneity Following Resistance Training: A Role for Circadian Rhythm?
CAMERA, D. M. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00569 · Cited by 17
Joanisse, S., Ashcroft, S. P., Wilkinson, D. J., Pollock, R. D., O’Brien, K. A., Phillips, B. E., Smith, K., Lazarus, N. R., Harridge, S. D. R., Atherton, P. J., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa005 · Cited by 17
Self-citationBrook, M. S., Wilkinson, D. J., Tarum, J., Mitchell, K. W., Lund, J. L., Phillips, B. E., Szewczyk, N. J., Kadi, F., Greenhaff, P. L., Smith, K., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00651-y · Cited by 17
Self-citationLoprinzi, P. D., Loenneke, J. P., & Hamilton, D. L. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.101 · Cited by 16
Willis, C. R. G., Gallagher, I. J., Wilkinson, D. J., Brook, M. S., Bass, J. J., Phillips, B. E., Smith, K., Etheridge, T., Stokes, T., McGlory, C., et al. (2021) · The FASEB Journal · doi:10.1096/fj.202100276rr · Cited by 17
Self-citationHealthy skeletal muscle aging: The role of satellite cells, somatic mutations and exercise
Franco, I., Fernandez‐Gonzalo, R., Vrtačnik, P., Lundberg, T. R., Eriksson, M., & Gustafsson, T. P. (2019) · International review of cytology · doi:10.1016/bs.ircmb.2019.03.003 · Cited by 18
Self-citationFlores, C. P., Zárate-Segura, P. B., Hernández‐Hernández, J. M., Santos, S. D. L., Tejeda-Gómez, A. S., Cano-Martínez, L. J., Canto, P., Rebollar, J. O. G., & Coral‐Vázquez, R. M. (2022) · Gene · doi:10.1016/j.gene.2022.146907 · Cited by 15
Recent Research in the Genetics of Exercise Training Adaptation
Venezia, A. C., & Roth, S. M. (2016) · Medicine and sport science/Medicine and sport · doi:10.1159/000445239 · Cited by 17
A procession of metabolic alterations accompanying muscle senescence in Manduca sexta
Wone, B. W. M., Kinchen, J. M., Kaup, E. R., & Wone, B. (2018) · Scientific Reports · doi:10.1038/s41598-018-19630-5 · Cited by 15
Network analysis of human muscle adaptation to aging and contraction
Willis, C. R. G., Ames, R. M., Deane, C. S., Phillips, B. E., Boereboom, C., Abdulla, H., Bukhari, S. S. I., Lund, J. N., Williams, J. P., Wilkinson, D. J., et al. (2020) · Aging · doi:10.18632/aging.102653 · Cited by 15
Self-citationNutrition and physical activity countermeasures for sarcopenia: Time to get personal?
Murphy, C. H., & Roche, H. M. (2018) · Nutrition Bulletin · doi:10.1111/nbu.12351 · Cited by 15
Franchi, M. V., Candia, J., Sarto, F., Sirago, G., Valli, G., Paganini, M., Hartnell, L. M., Giacomello, E., Toniolo, L., Monti, E., et al. (2025) · The Journal of Physiology · doi:10.1113/jp287003 · Cited by 14
Cumulative Muscle Protein Synthesis and Protein Intake Requirements
Simmons, E. E., Fluckey, J. D., & Riechman, S. E. (2016) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071813-105549 · Cited by 15
Slade, L., Etheridge, T., & Szewczyk, N. J. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102456 · Cited by 15
Shen, S., Li, C., Xiao, L., Wang, X., Lv, H., Shi, Y., Li, Y., & Huang, Q. R. (2020) · Human Genomics · doi:10.1186/s40246-020-00271-7 · Cited by 13
Mcleod, J. C., Lim, C., Stokes, T., Sharif, J.-A., Zeynalli, V., Wiens, L., D’Souza, A. C., Colenso‐Semple, L. M., McKendry, J., Morton, R. W., et al. (2024) · NAR Molecular Medicine · doi:10.1093/narmme/ugae016 · Cited by 11
Self-citationLim, C., McKendry, J., Lees, M. J., Atherton, P. J., Burd, N. A., Holwerda, A. M., van Loon, L. J. C., McGlory, C., Mitchell, C. J., Smith, K., et al. (2025) · Experimental Physiology · doi:10.1113/ep092353 · Cited by 12
Self-citationSkoglund, E., GrönholdtKlein, M., Rullman, E., Thornell, L. E., Strömberg, A., Hedman, A., Cederholm, T., Ulfhake, B., & Gustafsson, T. P. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz068 · Cited by 12
Self-citationGarcía-Casas, P., Álvarez-Illera, P., Gómez‐Orte, E., Cabello, J., Fonteríz, R. I., Montero, M., & Álvarez, J. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.695687 · Cited by 11
Bettio, C., Banchelli, F., Salsi, V., Vicini, R., Crisafulli, O., Ruggiero, L., Ricci, G., Bucci, E., Angelini, C. I., Berardinelli, A. L., et al. (2024) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-023-07150-x · Cited by 11
Molecular studies of exercise, skeletal muscle, and ageing
Timmons, J. A., & Gallagher, I. J. (2016) · F1000Research · doi:10.12688/f1000research.8255.1 · Cited by 11
Self-citationChaillou, T., & Montiel-Rojas, D. (2023) · Frontiers in Aging · doi:10.3389/fragi.2023.1171850 · Cited by 10
Molecular Diagnostics of Ageing and Tackling Age-related Disease
Timmons, J. A. (2016) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2016.11.005 · Cited by 10
Self-citationKhan, Y., Hammarström, D., Rønnestad, B. R., Ellefsen, S., & Ahmad, R. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-03866-y · Cited by 9
A reverse genetics cell‐based evaluation of genes linked to healthy human tissue age
Crossland, H., Atherton, P. J., Strömberg, A., Gustafsson, T. P., & Timmons, J. A. (2016) · The FASEB Journal · doi:10.1096/fj.201600296rrr · Cited by 10
Self-citationZhao, X., Yuan, F., Wan, H., Qin, H., Jiang, N., & Yu, B. (2022) · BMC Genomic Data · doi:10.1186/s12863-022-01029-x · Cited by 9
Cao, Q., Deng, Z., Liu, J., & Li, X. (2020) · IEEE Access · doi:10.1109/access.2020.2968514 · Cited by 9
Thompson, J. M., West, D. W. D., Doering, T. M., Budiono, B. P., Lessard, S. J., Koch, L. G., Britton, S. L., Byrne, N. M., Brown, M. A., Ashton, K. J., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0261723 · Cited by 9
Assessing phenotype order in molecular data
Lausser, L. M., Schäfer, L. M., Schirra, L.-R., Szekely, R., Schmid, F. T., & Kestler, H. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-48150-z · Cited by 8
Edman, S., Jones, R. G., Jannig, P. R., Fernandez‐Gonzalo, R., Norrbom, J., Thomas, N. T., Khadgi, S., Koopmans, P. J., da Silva, F. M., Peterson, C. S., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.26.586857 · Cited by 8
Lixandrão, M. E., Bamman, M. M., Lavin, K. M., Longobardi, I., Telles, G. D., VECHIN, F. C., Damas, F., Drummer, D. J., McAdam, J. S., Costa, L. A. R., et al. (2025) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00052.2025 · Cited by 7
West, D. W. D., Doering, T. M., Thompson, J. M., Budiono, B. P., Lessard, S. J., Koch, L. G., Britton, S. L., Steck, R., Byrne, N. M., Brown, M. A., et al. (2021) · Experimental Physiology · doi:10.1113/ep089301 · Cited by 7
Delvitto, A., & Lavagnino, N. (2023) · Principia an international journal of epistemology · doi:10.5007/1808-1711.2023.e85523 · Cited by 10
Lehmann, S., Bass, J. J., Barratt, T. F., Ali, M., & Szewczyk, N. J. (2017) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12196 · Cited by 5
Takeshita, L. Y. C., Davidsen, P. K., Herbert, J. M. J., Antczak, P., Hesselink, M. K. C., Schrauwen, P., Weisnagel, S. J., Robbins, J., Gerszten, R. E., Ghosh, S., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-98792-1 · Cited by 5
Self-citationGautvik, K. M., Olstad, O. K., Raue, U., Gautvik, V. T., Kvernevik, K. J., Utheim, T. P., Ravnum, S., Kirkegaard, C., Wiig, H., Jones, G., et al. (2022) · European Review of Aging and Physical Activity · doi:10.1186/s11556-022-00304-1 · Cited by 6
Identification of a T cell gene expression clock obtained by exploiting a MZ twin design
Remondini, D., Intrator, N., Sala, C., Pierini, M., Garagnani, P., Zironi, I., Franceschi, C., Salvioli, S., & Castellani, G. (2017) · Scientific Reports · doi:10.1038/s41598-017-05694-2 · Cited by 6
Svensson, M., Lovrić, A., Åkerfeldt, T., Hellsten, D., Haas, T. L., Gustafsson, T. P., & Rullman, E. (2024) · Physiological Reports · doi:10.14814/phy2.15995 · Cited by 4
Self-citationBrown, A., Parise, G., Thomas, A. C. Q., Ng, S. Y., McGlory, C., Phillips, S. M., Kumbhare, D. A., & Joanisse, S. (2024) · Journal of Cellular Physiology · doi:10.1002/jcp.31182 · Cited by 7
Luo, Y., Xie, H. Q., Chen, Y., Xia, Y., Sha, R., Liu, Y., Ma, Y. C., Xu, T., Xu, S. L., Tsim, K. W. K., et al. (2019) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2019.05.018 · Cited by 5
Parida, B. P., Misra, B. B., & Misra, A. N. (2018) · 4open · doi:10.1051/fopen/2018004 · Cited by 3
Preoperative Aerobic Exercise Therapy Prior to Abdominal Surgery: What Is the Evidence? What Dose?
Siu, A. T. Y., Singh, F., Ismail, H., & Newton, R. U. (2021) · Current anesthesiology reports · doi:10.1007/s40140-021-00488-9 · Cited by 3
Diets and Diet Therapy: Diet Supplements for Exercise
Clark, J. E. (2018) · Elsevier eBooks · doi:10.1016/b978-0-08-100596-5.21957-4 · Cited by 3
Skeletal Muscle mTORC1 Activation Increases Energy Expenditure and Reduces Longevity in MicePreprint
Stephenson, E. J., Redd, J. R., Snyder, D., Tran, Q. T., Lu, B., Peloquin, M., Mulcahy, M. C., Harvey, I. C., Fisher, K., Han, J. C., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/720540 · Cited by 4
Masson, S. W. C., Madsen, S., Cooke, K. C., Potter, M., Díaz‐Vegas, A., Carroll, L., Thillainadesan, S., Cutler, H. B., Walder, K. R., Cooney, G. J., et al. (2023) · eLife · doi:10.7554/elife.86961.2 · Cited by 3
ROGERS, L. M., Quinlan, J. I., Lau, K. M., BELFIELD, A. E., Korzepa, M., Hannaian, S. J., Gritsas, A., Churchward‐Venne, T. A., Wallis, G. A., & Breen, L. (2025) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003756 · Cited by 2
THE EFFECTS OF AEROBIC EXERCISE ON HUMAN SKELETAL MUSCLE ADAPTATIONS TO RESISTANCE EXERCISE
Lundberg, T. R. (2014) · Diva portal (Dalarna University Library) · Cited by 2
The Physiological and Genetic Factors Underpinning the Response to Muscle Damaging Exercise
Baumert, P. (2019) · Liverpool John Moores University · doi:10.24377/ljmu.t.00010325 · Cited by 2
Increased remodeling and impaired adaption to endurance exercise in desminopathyPreprint
Mossakowski, A. A., Langer, H. T., Bizieff, A., Avey, A. M., Zbinden‐Foncea, H., Hellerstein, M. K., & Baar, K. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.03.462939 · Cited by 2
Bridging the gap: multi-omic insights into exercise responses in postmenopausal women
Aiyanna, R. K., Wang, S., Grolaux, R., Reisman, E. G., Jones, B., & Eynon, N. (2026) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00172.2026 · Cited by 1
Etheridge, T., Szewczyk, N. J., Zuo, L., Chuang, C., Liu, Z., Ward, A. T., Dier, N. L., Rotarius, T. R., Lalande, S., Zhang, X., et al. (2016) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01036.2015 · Cited by 1
Slade, L., Etheridge, T., & Szewczyk, N. J. (2024) · Preprints.org · doi:10.20944/preprints202403.1866.v1 · Cited by 1
Kirby, T. J. (2015) · UKnowledge (University of Kentucky)
Clarke, K. (2014) · University of Birmingham Institutional Research Archive (University of Birmingham)
Greenhaff, P. L., Murton, A. J., Billeter, R., Stephens, F. B., Etages, S. G. D., Graber, F. M., Hill, R. J. W., Hawley, J. A., Panchev, V. S., van Vliet, S., et al. (2015)
Self-citationRibeiro, M. B. T. (2015) · RIUnB Institutional Repository (University of Brasília) · doi:10.26512/2015.08.d.18965
Biljes, D., Hammerschmidt-Kamper, C., Kadow, S., Diel, P. R., Weigt, C., Burkart, V., & Esser, C. (2015)
Animal models of exercise therapy : mechanisms of activity-induced angiogenesis
Kissane, R. W. P. (2017) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
Claypool, K. T., & Patel, C. J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/260398 · Cited by 1
Food texture: A potential dietary consideration for obesity prevention?
Etheridge, T., & Atherton, P. J. (2018) · Experimental Physiology · doi:10.1113/ep087241
Self-citationNaimo, M. A. (2019) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.4094
Efeito do volume de treinamento de força sobre a variabilidade da hipertrofia muscular em idosos
Lixandrão, M. E. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.39.2020.tde-13052021-150429
Optimizing protein delivery to promote skeletal muscle protein synthesis
Areta, J. L. (2014) · RMIT Research Repository (RMIT University Library) · doi:10.25439/rmt.27351192
Halim, J., Elias, S., Astoeti, T. E., & Anggraini, W. (2021) · Jurnal Kedokteran Gigi Universitas Padjadjaran · doi:10.24198/jkg.v33i3.35336
Phillips, S. M. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735320205.793571145
ORQANİZMİN FİZİKİ YÜKƏ QARŞI ADAPTASİYASININ QANUNA UYGUNLUQLARI
Yusifov, G. D., Agayeva, T. Z., & Hajimammadova, S. I. (2022) · Scientific News of Academy of Physical Education and Sport · doi:10.28942/ssj.v4i3.544
Masson, S. W. C., Madsen, S., Cooke, K. C., Potter, M., Díaz‐Vegas, A., Carroll, L., Thillainadesan, S., Walder, K. R., Cooney, G. J., Morahan, G., et al. (2023) · eLife · doi:10.7554/elife.86961.1
Masson, S. W. C., Søren, M., Cooke, K. C., et al. (2023) · eLife · doi:10.7554/elife.86961.1.sa1
Shen, S., Li, C., Xiao, L., Wang, X., Lv, H., Shi, Y., Li, Y., & Huang, Q. R. (2020) · Figshare · doi:10.6084/m9.figshare.12463286
Shen, S., Li, C., Xiao, L., Wang, X., Lv, H., Shi, Y., Li, Y., & Huang, Q. R. (2020) · Figshare · doi:10.6084/m9.figshare.12463292
McColl, T. J., Zhang, R., Dugourd, A. J. F., Sáez-Rodríguez, J., & Clarke, D. C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.11.681841
Player, D. J. (2013) · University of Bedfordshire Repository (University of Bedfordshire)
Gautvik, K. M., Olstad, O. K., Raue, U., Gautvik, V. T., Kvernevik, K. J., Utheim, T. P., Ravnum, S., Kirkegaard, C., Wiig, H., Jones, G., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21258273
Shen, S., Li, C., Xiao, L., Wang, X., Lv, H., Shi, Y., Li, Y., & Huang, Q. (2020) · Figshare · doi:10.6084/m9.figshare.12463280
Bettio, C., Banchelli, F., Salsi, V., Vicini, R., Crisafulli, O., Ruggiero, L., Ricci, G., Bucci, E., Angelini, C. I., Berardinelli, A. L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26661302
Bettio, C., Banchelli, F., Salsi, V., Vicini, R., Crisafulli, O., Ruggiero, L., Ricci, G., Bucci, E., Angelini, C. I., Berardinelli, A. L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26661305
Bettio, C., Banchelli, F., Salsi, V., Vicini, R., Crisafulli, O., Ruggiero, L., Ricci, G., Bucci, E., Angelini, C. I., Berardinelli, A. L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26661308
From Stroke to Strength: The Role of Exercise in Managing Hypertension and Lipid Profiles
Gong, M., Han, Z., Li, P., Liu, Z., Liu, H., Huang, M., Yuan, R., Xiao, R., Jia, P., Guo, H., et al. (2026) · Neurology and Therapy · doi:10.1007/s40120-026-00889-0
The Roles of Vitamin A and Provitamin A in Skeletal Muscle Health
Kitakaze, T., & Yamaji, R. (2026) · Springer eBooks · doi:10.1007/978-981-95-7068-3_27
Kitakaze, T., Nakatsuji, A., Harada, N., & Yamaji, R. (2026) · Journal of Nutritional Science and Vitaminology · doi:10.3177/jnsv.72.176
Zhang, L., Wang, Q., He, J., Wang, L., & Ning, Y. (2026) · Molecular Biology Reports · doi:10.1007/s11033-026-12533-z
Kissane, R. W. P., Steuernagel, L., Tickle, P. G., Doody, N. E., Bonomo, M., Francesco Falciani, B., Davidsen, P. K., & Egginton, S. (2026) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00397.2026
Metadata
- Authors
- Phillips, B. E., Williams, J. P., Gustafsson, T., Bouchard, C., Rankinen, T., Knudsen, S., Smith, K., Timmons, J. A., & Atherton, P. J.
- Affiliations
- Royal Derby Hospital (GB)
- Karolinska Institutet (SE)
- Pennington Biomedical Research Center (US)
- Medical Prognosis Institute (Denmark) (DK)
- Loughborough University (GB)
- Corresponding author
- Timmons, James A.
- ORCID
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-03-21
- Volume
- 9
- Issue
- 3
- Pages
- e1003389
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC3605101
- OpenAlex
- W2094388228
- Cited by
- 199
- References
- 90
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 14 · 2023: 13 · 2022: 18 · 2021: 22 · 2020: 13 · 2019: 17 · 2018: 17 · 2017: 9 · 2016: 16 · 2015: 23 · 2014: 18 · 2013: 6
- FWCI
- 9.41
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Nottingham ePrints (University of Nottingham) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- University of Stirling
- National Institutes of Health (HL- 47317, HL- 47327, HL- 47323)
- Directorate for Biological Sciences
- Medical Research Council (MR/K00414X/1)
- Biotechnology and Biological Sciences Research Council (BB/X5106971, BB/C516779/1)
- National Heart, Lung, and Blood Institute (R01HL047327, HL 47321, HL 45670, HL47323, R01HL047317, HL 47327, R01HL047323, HL47317, R01HL045670, R01HL047321)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Keywords
- muscle aging, resistance training, endurance training, sarcopenia, mTOR signaling, rapamycin, muscle hypertrophy, lean body mass, all-trans retinoic acid, aryl hydrocarbon receptor signaling, age-related gene expression, post-transcriptional regulation, ribosomal genes, gene regulatory networks
- MeSH terms
- Adaptation, Physiological, Adolescent, Adult, Aged, Aging, Female, Humans, Male, Middle Aged, Signal Transduction, Exercise, Down-Regulation, Muscle, Skeletal, Gene Expression Profiling, Gene Regulatory Networks, Ribosome Subunits, TOR Serine-Threonine Kinases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review