The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Aging differentially affects human skeletal muscle microRNA expression at rest and after an anabolic stimulus of resistance exercise and essential amino acids
Open accessAbstract
Sarcopenia, skeletal muscle loss during aging, is associated with increased falls, fractures, morbidity, and loss of independence. MicroRNAs (miRNAs) are novel posttranscriptional regulators. The role of miRNAs in cell size regulation after an anabolic stimulus in human skeletal muscle is unknown. We hypothesized that aging would be associated with a differential expression of skeletal muscle primary miRNA (pri-miRNA) and mature miRNA (miR). To test this hypothesis, we used real-time PCR and immunoblotting before and after an anabolic stimulus (resistance exercise + ingestion of a 20-g leucine-enriched essential amino acid solution) to measure the expression of muscle-specific miRNAs (miR-1, miR-133a, and miR-206), upstream regulators (MyoD and myogenin), and downstream targets [insulin-like growth factor-I, histone deacetylase-4, myocyte enhancing factor-2, and Ras homolog enriched in brain (Rheb)] in skeletal muscle of young and older men. Muscle biopsies were obtained at baseline and 3 and 6 h after exercise. At baseline, we found pri-miRNA-1-1, -1-2, -133a-1, and -133a-2 expression elevated in older compared with young men ( P < 0.05). Pri-miRNA-1-2, -133a-1, and -133a-2 were reduced at 6 h after exercise only in the young men compared with baseline, whereas pri-miRNA-206 was elevated at different postexercise time points in older and young men ( P < 0.05). Compared with baseline, miR-1 was reduced only in the young men, whereas Rheb protein was increased in both age groups after the anabolic stimulus ( P < 0.05). We conclude that skeletal muscle primary and mature miRNA expression in young men is readily altered by an anabolic stimulus of resistance exercise + essential amino acid ingestion. However, aging is associated with higher basal skeletal muscle primary miRNA expression and a dysregulated miRNA response after the anabolic stimulus.
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.
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
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Processing of primary microRNAs by the Microprocessor complex
Denli, A. M., Tops, B. B. J., Plasterk, R. H. A., Ketting, R. F., & Hannon, G. J. (2004) · Nature · doi:10.1038/nature03049 · Cited by 2,784
miR-122 regulation of lipid metabolism revealed by in vivo antisense targeting
Esau, C., Davis, S., Murray, S. F., Yu, X. X., Pandey, S. K., Pear, M., Watts, L., Booten, S. L., Graham, M., McKay, R., et al. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.01.005 · Cited by 2,082
Control of translation and mRNA degradation by miRNAs and siRNAs: Table 1.
Valencia-Sanchez, M. A., Liu, J., Hannon, G. J., & Parker, R. (2006) · Genes & Development · doi:10.1101/gad.1399806 · Cited by 2,060
Brennecke, J., Hipfner, D. R., Stark, A., Russell, R. B., & Cohen, S. M. (2003) · Cell · doi:10.1016/s0092-8674(03)00231-9 · Cited by 2,042
Sempere, L. F., Freemantle, S., Pitha-Rowe, I., Moss, E., Dmitrovsky, E., & Ambros, V. (2004) · Genome Biology · doi:10.1186/gb-2004-5-3-r13 · Cited by 1,578
Dreyer, H. C., Fujita, S., Cadenas, J. G., Chinkes, D. L., Volpi, E., & Rasmussen, B. B. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.113175 · Cited by 570 · cited 2×
“Our laboratory has reported that heavy resistance exercise (10) and EAAs (14) can increase muscle protein synthesis individually, but the combination further augments this response (9).”
BackgroundSelf-citationDreyer, H. C., Drummond, M. J., Pennings, B., Fujita, S., Glynn, E. L., Chinkes, D. L., Dhanani, S., Volpi, E., & Rasmussen, B. B. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00582.2007 · Cited by 447
Self-citationNutrient signalling in the regulation of human muscle protein synthesis
Fujita, S., Dreyer, H. C., Drummond, M. J., Glynn, E. L., Cadenas, J. G., Yoshizawa, F., Volpi, E., & Rasmussen, B. B. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2007.134593 · Cited by 339
Self-citationSatellite cell numbers in young and older men 24 hours after eccentric exercise
Dreyer, H. C., Blanco, C. E., Sattler, F. R., Schroeder, E. T., & Wiswell, R. A. (2006) · Muscle & Nerve · doi:10.1002/mus.20461 · Cited by 256
Cited by
Davidsen, P. K., Gallagher, I. J., Hartman, J. W., Tarnopolsky, M. A., Dela, F., Helge, J. W., Timmons, J. A., & Phillips, S. M. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00901.2010 · Cited by 385
MicroRNAs in skeletal muscle: Their role and regulation in development, disease and function
Güller, I., & Russell, A. P. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.194175 · Cited by 290
Egan, B., & Sharples, A. P. (2023) · Physiological Reviews · doi:10.1152/physrev.00054.2021 · Cited by 278
Roberts, M. D., McCarthy, J. J., Hornberger, T. A., Phillips, S. M., Mackey, A. L., Nader, G. A., Boppart, M. D., Kavazis, A. N., Reidy, P. T., Ogasawara, R., et al. (2023) · Physiological Reviews · doi:10.1152/physrev.00039.2022 · Cited by 214
Self-citationPasiakos, S. M., Lieberman, H. R., & McLellan, T. M. (2014) · Sports Medicine · doi:10.1007/s40279-013-0137-7 · Cited by 178
Metadata
- Authors
- Drummond, M. J., McCarthy, J. J., Fry, C. S., Esser, K. A., & Rasmussen, B. B.
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 2008-12
- Volume
- 295
- Issue
- 6
- Pages
- E1333-E1340
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W2123944266
- Cited by
- 258
- References
- 10
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aging differentially affects human skeletal muscle microRNA expression at rest and after an anabolic stimulus of resistance exercise and essential amino acids. https://app.cochat.ai/papers/10.1152/ajpendo.90562.2008
- The paper
- Drummond, M. J., McCarthy, J. J., Fry, C. S., Esser, K. A., & Rasmussen, B. B. (2008). Aging differentially affects human skeletal muscle microRNA expression at rest and after an anabolic stimulus of resistance exercise and essential amino acids. American Journal of Physiology-Endocrinology and Metabolism. https://doi.org/10.1152/ajpendo.90562.2008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
