Exploring an Unknown Corner of a Well-Known Topic: HIIE Influence on Renal Health and Filtration in Healthy Individuals Free of Cardiometabolic Diseases
Author:
Forsse Jeffrey S.1ORCID, Richardson Kathleen A.1ORCID, Torres Ricardo1ORCID, Lowry Catherine12, Taylor James Kyle3ORCID, Beeson Cassidy L.1, Ward Jacob14, Dhillon Anurag15, Niceler Brock16, Ismaeel Ahmed78, Koutakis Panagiotis8ORCID
Affiliation:
1. Integrated Laboratory of Exercise, Nutrition, and Renal Vascular Research, Department of Health, Human Performance, and Recreation, Baylor University, Waco, TX 76706, USA 2. Department of Health and Exercise Science, Colorado State University, Fort Collins, CO 80011, USA 3. Medical & Clinical Laboratory Sciences, Auburn University—Montgomery, Montgomery, AL 36124, USA 4. Southern Illinois University Medical School, Lindegren Hall, 600 Agriculture Dr #132, Carbondale, IL 62901, USA 5. Health Science Center, San Antonio Joe R and Teresa Lozano Long School of Medicine, The University of Texas, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA 6. Waco Family Medicine, Waco, TX 76707, USA 7. Department of Physiology, University of Kentucky, 780 Rose Street, MS508, Lexington, KY 40536, USA 8. Clinical Muscle Biology Lab, Baylor University, Waco, TX 76706, USA
Abstract
Aerobic exercise, specifically high-intensity interval exercise (HIIE), and its effects on renal health and filtration (RHF) are not well understood. Several studies support incorporating contemporary biomarkers serum cystatin C (CyC) and urine epidermal growth factor (uEGF) to combat the volatility of serum creatinine (sCr). Using these biomarkers, we examined the acute influences HIIE has on RHF to determine if there is a ceiling effect in healthy populations. The purpose was to determine the influence of an acute bout of HIIE on RHF. Thirty-six participants (n = 22 males; n = 14 females; age 37.6 ± 12.4 years.; BF% 19.2 ± 7.1%; VO2max 41.8 + 7.4 mL/kg/min) completed 30 min of HIIE on a treadmill (80% and 40% of VO2reserve in 3:2 min ratio). Blood and urine samples were obtained under standardized conditions before, 1 h, and 24 h post-exercise. CyC, sCR, uEGF, urine creatinine (uCr), uCr/uEGF ratio, and multiple estimates of glomerular filtration rate (eGFR) Modification of Diet in Renal Disease (MDRD) and CKD-EPI equations were used. The analysis employed paired sample t-tests and repeated measures ANOVAs. CyC, uEGF, uCr, and uCr/uEGF ratio concentrations were not altered between timepoints. sCr increased 1 h post-exercise (p > 0.002) but not at 24 h post-exercise. eGFR decreased in the MDRD and CKD-EPI equations at 1 h (p > 0.012) with no changes at 24 h post-exercise. CyC and sCr/CyC demonstrated no significant changes. CyC and uEGF are not altered by acute HIIE. The results demonstrate a potential ceiling effect in contemporary and traditional biomarkers of RHF, indicating improvements in RHF may be isolated to populations with reduced kidney function.
Subject
Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine
Reference41 articles.
1. Forsse, J.S., Papadakis, Z., Peterson, M.N., Taylor, J.K., Hess, B.W., Schwedock, N., Allison, D.C., Griggs, J.O., Wilson, R.L., and Grandjean, P.W. (2022). The Influence of an Acute Bout of Aerobic Exercise on Vascular Endothelial Function in Moderate Stages of Chronic Kidney Disease. Life, 12. 2. The Effects of Acute Bouts of Aerobic Exercise on Adipokine Concentrations in Individuals with Moderate Stages of Chronic Kidney Disease;Taylor;Physiologia,2023 3. Forsse, J.S., Buckley, D., Ismaeel, A., Adair, K., Torres, R., Lowry, C., Dhillon, A., and Koutakis, P. (2021). In the absence of cardiometabolic diseases, is age an independent factor in assessing renal health and filtration? A pilot study. J. Nephropathol. 4. Forsse, J.S., Buckley, D., Ismaeel, A., Richardson, K.A., Oliver, A., and Koutakis, P. (2022). Effect of Age and Acute-Moderate Intensity Exercise on Biomarkers of Renal Health and Filtration. Biology, 11. 5. Adair, K.E., Ylitalo, K.R., Forsse, J.S., Funderburk, L.K., and Bowden, R.G. (2021). Metabolic Constellations, Clusters, and Renal Function: Findings from the 2013–2018 National Health and Nutrition Examination Surveys. Life, 11.
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