The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Effects of aging and lifelong aerobic exercise on basal and exercise-induced inflammation in women
Abstract
We previously reported a positive effect of lifelong exercise on skeletal muscle inflammation in aging men. This parallel investigation in women revealed that lifelong exercise did not protect against age-related increases in circulating or muscle inflammation and that preparedness to handle loading stress was not preserved by lifelong exercise. Further investigation is necessary to understand why lifelong aerobic exercise may not confer the same anti-inflammatory benefits in women as it does in men.
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“Master athletes have similar resting levels of inflammatory markers as young adults [70] and experience attenuated exercise-induced increases in some of these markers compared to untrained older adults, although this effect may be more pronounced in males as compared to females [71, 72].”
From Protein Requirements for Master Athletes: Just Older Versions of Their Younger Selves (2021) · cites this paper as [72]
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Cites
Muscle as an Endocrine Organ: Focus on Muscle-Derived Interleukin-6
Pedersen, B. K., & Febbraio, M. A. (2008) · Physiological Reviews · doi:10.1152/physrev.90100.2007 · Cited by 2,388
Visser, M., Pahor, M., Taaffe, D. R., Goodpaster, B. H., Simonsick, E. M., Newman, A. B., Nevitt, M., & Harris, T. B. (2002) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/57.5.m326 · Cited by 1,294
Mixed muscle protein synthesis and breakdown after resistance exercise in humans
Phillips, S. M., Tipton, K. D., Aarsland, A., Wolf, S. E., & Wolfe, R. R. (1997) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1997.273.1.e99 · Cited by 1,132
Fiber Type Composition of the Vastus Lateralis Muscle of Young Men and Women
Staron, R. S., Hagerman, F. C., Hikida, R. S., Murray, T. F., Hostler, D. P., Crill, M. T., Ragg, K. E., & Toma, K. (2000) · Journal of Histochemistry & Cytochemistry · doi:10.1177/002215540004800506 · Cited by 730
Biolo, G., Maggi, S. P., Williams, B. D., Tipton, K. D., & Wolfe, R. R. (1995) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1995.268.3.e514 · Cited by 713 · cited 1×
“Timely initiation and subsequent resolution of inflammation (7) facilitate protein accretion at the crux of long-term muscle hypertrophy (5, 53), a key outcome of resistance exercise training that may forestall or reverse the effects of aging.”
BackgroundTranscriptomic profiling of skeletal muscle adaptations to exercise and inactivity
Pillon, N. J., Gabriel, B. M., Dollet, L., Smith, J. A. B., Sardón Puig, L., Botella, J., Bishop, D. J., Krook, A., & Zierath, J. R. (2020) · Nature Communications · doi:10.1038/s41467-019-13869-w · Cited by 457 · cited 1×
“, proteome, methylome) in response to exercise are likely to provide valuable insight (54, 64).”
BackgroundThe role of androgens and estrogens on healthy aging and longevity
Horstman, A. M., Dillon, E. L., Urban, R. J., & Sheffield-Moore, M. (2012) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/gls068 · Cited by 396
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
Liu, P., Hao, Q., Hai, S., Wang, H., Cao, L., & Dong, B. (2017) · Maturitas · doi:10.1016/j.maturitas.2017.04.007 · Cited by 331
IL-6 selectively stimulates fat metabolism in human skeletal muscle
Wolsk, E., Mygind, H., Grøndahl, T. S., Pedersen, B. K., & van Hall, G. (2010) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00328.2010 · Cited by 221 · cited 1×
“IL-6 plays an important metabolic role in skeletal muscle signaling (24, 88), including facilitating progression from the pro- to anti-inflammatory phases of the acute response to exercise (51, 71).”
BackgroundThe effect of graded exercise on IL‐6 release and glucose uptake in human skeletal muscle
Helge, J. W., Stallknecht, B., Pedersen, B. K., Galbo, H., Kiens, B., & Richter, E. A. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2002.030437 · Cited by 212
Raue, U., Slivka, D., Minchev, K., & Trappe, S. (2009) · Journal of Applied Physiology · doi:10.1152/japplphysiol.91587.2008 · Cited by 166 · cited 2×
“Older women may demonstrate blunted hypertrophy in response to a resistance exercise regimen, especially with advancing age (18, 60).”
BackgroundSelf-citationReduction in hybrid single muscle fiber proportions with resistance training in humans
Williamson, D. L., Gallagher, P. M., Carroll, C. C., Raue, U., & Trappe, S. W. (2001) · Journal of Applied Physiology · doi:10.1152/jappl.2001.91.5.1955 · Cited by 150
Heightened muscle inflammation susceptibility may impair regenerative capacity in aging humans
Merritt, E. K., Stec, M. J., Thalacker-Mercer, A., Windham, S. T., Cross, J. M., Shelley, D. P., Craig Tuggle, S., Kosek, D. J., Kim, J.-S., & Bamman, M. M. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00019.2013 · Cited by 127
Thalacker-Mercer, A., Stec, M., Cui, X., Cross, J., Windham, S., & Bamman, M. (2013) · Physiological Genomics · doi:10.1152/physiolgenomics.00167.2012 · Cited by 119
Research works printed but not linked: 74
- 10.1186/s12974-016-0758-5 · DOI
- 10.1016/j.cellimm.2012.01.001 · DOI · Paper page
- 10.1152/ajpendo.00576.2014 · DOI
- Bergström J, 1962, Scand J Clin Lab Invest, 14, 1, 10.3109/00365516209075148 · DOI
- 10.1152/japplphysiol.00426.2019 · DOI · Paper page
- 10.1038/icb.2015.97 · DOI
- 10.1016/j.psc.2017.01.006 · DOI
- 10.1152/ajpendo.90562.2008 · DOI · Paper page
- 10.1182/blood-2004-07-2599 · DOI · Paper page
- 10.1046/j.1532-5415.2002.50605.x · DOI · Paper page
- 10.1016/j.neurobiolaging.2018.04.004 · DOI · Paper page
- 10.2105/AJPH.2016.303089 · DOI
- 10.1186/s12263-017-0556-4 · DOI
- 10.1016/j.exger.2016.12.021 · DOI · Paper page
- 10.1152/japplphysiol.00860.2011 · DOI
- 10.1016/j.exger.2011.07.010 · DOI
- 10.1152/japplphysiol.00459.2019 · DOI
- 10.1152/japplphysiol.00174.2018 · DOI
- 10.2478/bhk-2019-0011 · DOI
- 10.1017/S0029665117001951 · DOI
- 10.1249/JES.0000000000000026 · DOI
- 10.1016/j.bbrc.2004.05.223 · DOI
- 10.1016/S0047-6374(00)00178-0 · DOI
- 10.1080/09638288.2016.1212282 · DOI · Paper page
- 10.1519/JPT.0000000000000097 · DOI · Paper page
- 10.1093/gerona/glq109 · DOI
- 10.1002/art.20309 · DOI
- 10.1084/jem.186.10.1757 · DOI · Paper page
- 10.1152/japplphysiol.00495.2019 · DOI · Paper page
- 10.1152/physiol.00044.2018 · DOI
- 10.1152/japplphysiol.00396.2015 · DOI
- 10.1006/meth.2001.1262 · DOI · Paper page
- 10.1152/japplphysiol.00679.2007 · DOI · Paper page
- 10.1096/fj.10-178939 · DOI · Paper page
- 10.1111/j.1469-7793.2000.00243.x · DOI · Paper page
- 10.1152/ajpcell.00305.2012 · DOI
- 10.1016/j.exger.2017.04.001 · DOI
- 10.1007/s00421-017-3600-6 · DOI
- Minuzzi LG, 2018, Exerc Immunol Rev, 24, 72
- 10.1371/journal.pone.0108547 · DOI
- 10.3109/09513590.2012.754879 · DOI
- Northoff H, 2008, Exerc Immunol Rev, 14, 86
- 10.1249/MSS.0b013e3181ac7adb · DOI
- 10.1093/geronb/gbv076 · DOI
- 10.1152/japplphysiol.00615.2020 · DOI
- Plomgaard P, 2005, Exerc Immunol Rev, 11, 53
- 10.1016/j.exger.2005.12.007 · DOI
- 10.1152/japplphysiol.00759.2014 · DOI
- 10.1152/japplphysiol.01616.2005 · DOI
- 10.1093/gerona/62.12.1407 · DOI
- 10.1152/japplphysiol.00435.2011 · DOI · Paper page
- 10.1152/ajpcell.00135.2018 · DOI
- 10.1016/j.exger.2018.02.023 · DOI
- 10.1016/j.cell.2020.06.004 · DOI · Paper page
- 10.1152/japplphysiol.00732.2016 · DOI
- 10.1093/gerona/glp097 · DOI · Paper page
- 10.1152/ajpregu.00093.2008 · DOI
- 10.1016/j.joca.2005.04.014 · DOI · Paper page
- 10.1016/j.plefa.2013.02.004 · DOI
- 10.1152/ajpendo.00074.2003 · DOI · Paper page
- 10.1152/ajpcell.00583.2001 · DOI
- 10.1152/ajpcell.2001.281.2.C398 · DOI
- 10.1152/jappl.2000.89.1.143 · DOI · Paper page
- 10.1152/ajpregu.00611.2010 · DOI
- 10.1210/jcem.86.10.7928 · DOI
- 10.1152/japplphysiol.00061.2013 · DOI
- 10.1093/gerona/glv231 · DOI
- 10.1152/ajpregu.00245.2012 · DOI
- 10.14814/phy2.12172 · DOI
- 10.1038/srep15224 · DOI · Paper page
- 10.1016/j.ejim.2016.07.017 · DOI
- 10.1152/ajpregu.00718.2006 · DOI
- 10.1042/CS20150586 · DOI
- 10.1152/japplphysiol.01185.2004 · DOI · Paper page
Cited by
El Assar, M., Álvarez-Bustos, A., Sosa, P., Angulo, J., & Rodríguez-Mañas, L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158713 · Cited by 371
Age-associated inflammation and implications for skeletal muscle responses to exercise
Kunz, H. E., & Lanza, I. R. (2023) · Experimental Gerontology · doi:10.1016/j.exger.2023.112177 · Cited by 56
Protein Requirements for Master Athletes: Just Older Versions of Their Younger Selves
Moore, D. R. (2021) · Sports Medicine · doi:10.1007/s40279-021-01510-0 · Cited by 33
Metadata
- Authors
- Lavin, K. M., Perkins, R. K., Jemiolo, B., Raue, U., Trappe, S. W., & Trappe, T. A.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2020-12-01
- Volume
- 129
- Issue
- 6
- Pages
- 1493-1504
- ISSN
- 8750-7587
- 1522-1601
- Cited by
- 34
- References
- 15
- Language
- en
- Funders
- HHS | NIH | National Institute on Aging (AG038576)
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