Literature DB >> 36242693

Understanding heterogeneity of responses to, and optimizing clinical efficacy of, exercise training in older adults: NIH NIA Workshop summary.

Melissa L Erickson1, Jacob M Allen2, Daniel P Beavers3, Linda M Collins4, Karina W Davidson5, Kirk I Erickson1, Karyn A Esser6, Matthijs K C Hesselink7, Kerrie L Moreau8, Eric B Laber9, Charlotte A Peterson10, Courtney M Peterson11, Jane E Reusch8, John P Thyfault12, Shawn D Youngstedt13, Juleen R Zierath14, Bret H Goodpaster1, Nathan K LeBrasseur15, Thomas W Buford16,17, Lauren M Sparks18.   

Abstract

Exercise is a cornerstone of preventive medicine and a promising strategy to intervene on the biology of aging. Variation in the response to exercise is a widely accepted concept that dates back to the 1980s with classic genetic studies identifying sequence variations as modifiers of the VO2max response to training. Since that time, the literature of exercise response variance has been populated with retrospective analyses of existing datasets that are limited by a lack of statistical power from technical error of the measurements and small sample sizes, as well as diffuse outcomes, very few of which have included older adults. Prospective studies that are appropriately designed to interrogate exercise response variation in key outcomes identified a priori and inclusive of individuals over the age of 70 are long overdue. Understanding the underlying intrinsic (e.g., genetics and epigenetics) and extrinsic (e.g., medication use, diet, chronic disease) factors that determine robust versus poor responses to various exercise factors will be used to improve exercise prescription to target the pillars of aging and optimize the clinical efficacy of exercise training in older adults. This review summarizes the proceedings of the NIA-sponsored workshop entitled, "Understanding Heterogeneity of Responses to, and Optimizing Clinical Efficacy of, Exercise Training in Older Adults" and highlights the importance and current state of exercise response variation research, particularly in older adults, prevailing challenges, and future directions.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Entities:  

Keywords:  Aging; Clinical efficacy; Exercise; Response variation

Year:  2022        PMID: 36242693     DOI: 10.1007/s11357-022-00668-3

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  109 in total

1.  Sensitivity of maximal aerobic power to training is genotype-dependent.

Authors:  D Prud'homme; C Bouchard; C Leblanc; F Landry; E Fontaine
Journal:  Med Sci Sports Exerc       Date:  1984-10       Impact factor: 5.411

2.  Adaptive changes to training in adipose tissue lipolysis are genotype dependent.

Authors:  J P Despres; C Bouchard; R Savard; D Prud'homme; L Bukowiecki; G Theriault
Journal:  Int J Obes       Date:  1984

3.  Geroscience: linking aging to chronic disease.

Authors:  Brian K Kennedy; Shelley L Berger; Anne Brunet; Judith Campisi; Ana Maria Cuervo; Elissa S Epel; Claudio Franceschi; Gordon J Lithgow; Richard I Morimoto; Jeffrey E Pessin; Thomas A Rando; Arlan Richardson; Eric E Schadt; Tony Wyss-Coray; Felipe Sierra
Journal:  Cell       Date:  2014-11-06       Impact factor: 41.582

Review 4.  The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers.

Authors:  Mark A Sarzynski; Treva K Rice; Jean-Pierre Després; Louis Pérusse; Angelo Tremblay; Philip R Stanforth; André Tchernof; Jacob L Barber; Francesco Falciani; Clary Clish; Jeremy M Robbins; Sujoy Ghosh; Robert E Gerszten; Arthur S Leon; James S Skinner; D C Rao; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2022-05-01

5.  Exercise Response Variations in Skeletal Muscle PCr Recovery Rate and Insulin Sensitivity Relate to Muscle Epigenomic Profiles in Individuals With Type 2 Diabetes.

Authors:  Natalie A Stephens; Bram Brouwers; Alexey M Eroshkin; Fanchao Yi; Heather H Cornnell; Christian Meyer; Bret H Goodpaster; Richard E Pratley; Steven R Smith; Lauren M Sparks
Journal:  Diabetes Care       Date:  2018-08-02       Impact factor: 19.112

Review 6.  Disease drivers of aging.

Authors:  Richard J Hodes; Felipe Sierra; Steven N Austad; Elissa Epel; Gretchen N Neigh; Kristine M Erlandson; Marissa J Schafer; Nathan K LeBrasseur; Christopher Wiley; Judith Campisi; Mary E Sehl; Rosario Scalia; Satoru Eguchi; Balakuntalam S Kasinath; Jeffrey B Halter; Harvey Jay Cohen; Wendy Demark-Wahnefried; Tim A Ahles; Nir Barzilai; Arti Hurria; Peter W Hunt
Journal:  Ann N Y Acad Sci       Date:  2016-12       Impact factor: 5.691

7.  Inheritance of human skeletal muscle and anaerobic capacity adaptation to high-intensity intermittent training.

Authors:  J A Simoneau; G Lortie; M R Boulay; M Marcotte; M C Thibault; C Bouchard
Journal:  Int J Sports Med       Date:  1986-06       Impact factor: 3.118

8.  Responses of maximal aerobic power and capacity to aerobic training.

Authors:  G Lortie; J A Simoneau; P Hamel; M R Boulay; F Landry; C Bouchard
Journal:  Int J Sports Med       Date:  1984-10       Impact factor: 3.118

Review 9.  Energetic interventions for healthspan and resiliency with aging.

Authors:  Derek M Huffman; Marissa J Schafer; Nathan K LeBrasseur
Journal:  Exp Gerontol       Date:  2016-05-31       Impact factor: 4.032

10.  Heredity and changes in plasma lipids and lipoproteins after short-term exercise training in men.

Authors:  J P Després; S Moorjani; A Tremblay; E T Poehlman; P J Lupien; A Nadeau; C Bouchard
Journal:  Arteriosclerosis       Date:  1988 Jul-Aug
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