Literature DB >> 33682457

Higher protein intake during resistance training does not potentiate strength, but modulates gut microbiota, in middle-aged adults: a randomized control trial.

Colleen F McKenna1, Amadeo F Salvador2, Riley L Hughes3, Susannah E Scaroni1, Rafael A Alamilla2, Andrew T Askow2, Scott A Paluska4, Anna C Dilger5, Hannah D Holscher1,2,3, Michael De Lisio6, Naiman A Khan1,2,7, Nicholas A Burd1,2.   

Abstract

Protein intake above the recommended dietary allowance (RDA) and resistance training are known anabolic stimuli to support healthy aging. Specifically, protein supplementation after resistance exercise and nightly are strategies to maximize utilization of protein intake above the RDA in healthy adults. As such, the primary objective was to examine the efficacy of protein supplementation and nutritional counseling resulting in either moderate (MOD: ∼1.0 g·kg-1·day-1) or higher (HIGH: ∼1.6 g·kg-1·day-1) protein intake during resistance training on strength (one-repetition maximum, 1-RM; isokinetic and isometric peak torque) in healthy middle-aged adults. Exploratory analyses include diet-exercise effects on lean body mass (LBM), clinical biomarkers, gut microbiota, and diet composition. In all, 50 middle-aged adults (age: 50 ± 8 yr, BMI: 27.2 ± 4.1 kg/m2) were randomized to either MOD or HIGH protein intake during a 10-wk resistance training program (3 × wk). Participants received dietary counseling and consumed either 15 g (MOD) or 30 g (HIGH) of protein from lean beef in the immediate postexercise period and each evening. Maximal strength (1-RM) for all upper and lower body exercises significantly increased with no effect of protein intake (P < 0.050). There was a main effect of time for LBM (P < 0.005). Cardiovascular, renal, or glycemic biomarkers were not affected by the intervention. Gut microbiota were associated with several health outcomes (P < 0.050). In conclusion, higher protein intake above moderate amounts does not potentiate resistance training adaptations in previously untrained middle-aged adults. This trial was registered at clinicaltrials.gov as NCT03029975.NEW & NOTEWORTHY Our research evaluates the efficacy of higher in comparison with moderate animal-based protein intake on resistance exercise training-induced muscle strength, clinical biomarkers, and gut microbiota in middle-aged adults through a dietary counseling-controlled intervention. Higher protein intake did not potentiate training adaptations, nor did the intervention effect disease biomarkers. Both diet and exercise modified gut microbiota composition. Collectively, moderate amounts of high-quality, animal-based protein is sufficient to promote resistance exercise adaptations at the onset of aging.

Entities:  

Keywords:  gut microbiota; hypertrophy; insulin resistance; red meat

Year:  2021        PMID: 33682457     DOI: 10.1152/ajpendo.00574.2020

Source DB:  PubMed          Journal:  Am J Physiol Endocrinol Metab        ISSN: 0193-1849            Impact factor:   4.310


  4 in total

Review 1.  Fueling Gut Microbes: A Review of the Interaction between Diet, Exercise, and the Gut Microbiota in Athletes.

Authors:  Riley L Hughes; Hannah D Holscher
Journal:  Adv Nutr       Date:  2021-12-01       Impact factor: 8.701

2.  Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models.

Authors:  Javier Fernández; Manuel Fernández-Sanjurjo; Eduardo Iglesias-Gutiérrez; Pablo Martínez-Camblor; Claudio J Villar; Cristina Tomás-Zapico; Benjamin Fernández-García; Felipe Lombó
Journal:  Front Physiol       Date:  2021-12-24       Impact factor: 4.566

3.  Exercise-microbiota interactions in aging-related sarcopenia.

Authors:  Johannes Burtscher; Andrea Ticinesi; Gregoire P Millet; Martin Burtscher; Barbara Strasser
Journal:  J Cachexia Sarcopenia Muscle       Date:  2022-02-10       Impact factor: 12.910

Review 4.  Gut microbiota and meat quality.

Authors:  Binlong Chen; Diyan Li; Dong Leng; Hua Kui; Xue Bai; Tao Wang
Journal:  Front Microbiol       Date:  2022-08-23       Impact factor: 6.064

  4 in total

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