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Dive into the research topics where Richard A. LaFountain is active.

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Featured researches published by Richard A. LaFountain.


PLOS ONE | 2016

Graded Maximal Exercise Testing to Assess Mouse Cardio-Metabolic Phenotypes

Jennifer M. Petrosino; Valerie Heiss; Santosh K. Maurya; Anuradha Kalyanasundaram; Muthu Periasamy; Richard A. LaFountain; Jacob M. Wilson; Orlando P. Simonetti; Ouliana Ziouzenkova

Functional assessments of cardiovascular fitness (CVF) are needed to establish animal models of dysfunction, test the effects of novel therapeutics, and establish the cardio-metabolic phenotype of mice. In humans, the graded maximal exercise test (GXT) is a standardized diagnostic for assessing CVF and mortality risk. These tests, which consist of concurrent staged increases in running speed and inclination, provide diagnostic cardio-metabolic parameters, such as, VO2max, anaerobic threshold, and metabolic crossover. Unlike the human-GXT, published mouse treadmill tests have set, not staged, increases in inclination as speed progress until exhaustion (PXT). Additionally, they often lack multiple cardio-metabolic parameters. Here, we developed a mouse-GXT with the intent of improving mouse-exercise testing sensitivity and developing translatable parameters to assess CVF in healthy and dysfunctional mice. The mouse-GXT, like the human-GXT, incorporated staged increases in inclination, speed, and intensity; and, was designed by considering imitations of the PXT and differences between human and mouse physiology. The mouse-GXT and PXTs were both tested in healthy mice (C57BL/6J, FVBN/J) to determine their ability to identify cardio-metabolic parameters (anaerobic threshold, VO2max, metabolic crossover) observed in human-GXTs. Next, theses assays were tested on established diet-induced (obese-C57BL/6J) and genetic (cardiac isoform Casq2-/-) models of cardiovascular dysfunction. Results showed that both tests reported VO2max and provided reproducible data about performance. Only the mouse-GXT reproducibly identified anaerobic threshold, metabolic crossover, and detected impaired CVF in dysfunctional models. Our findings demonstrated that the mouse-GXT is a sensitive, non-invasive, and cost-effective method for assessing CVF in mice. This new test can be used as a functional assessment to determine the cardio-metabolic phenotype of various animal models or the effects of novel therapeutics.


Metabolism-clinical and Experimental | 2017

Keto-adaptation enhances exercise performance and body composition responses to training in endurance athletes

Fionn T. McSwiney; Bruce Wardrop; Parker N. Hyde; Richard A. LaFountain; Jeff S. Volek; Lorna Doyle

BACKGROUND Low-carbohydrate diets have recently grown in popularity among endurance athletes, yet little is known about the long-term (>4wk) performance implications of consuming a low-carbohydrate high fat ketogenic diet (LCKD) in well-trained athletes. METHODS Twenty male endurance-trained athletes (age 33±11y, body mass 80±11kg; BMI 24.7±3.1kg/m2) who habitually consumed a carbohydrate-based diet, self-selected into a high-carbohydrate (HC) group (n=11, %carbohydrate:protein:fat=65:14:20), or a LCKD group (n=9, 6:17:77). Both groups performed the same training intervention (endurance, strength and high intensity interval training (HIIT)). Prior to and following successful completion of 12-weeks of diet and training, participants had their body composition assessed, and completed a 100km time trial (TT), six second (SS) sprint, and a critical power test (CPT). During post-intervention testing the HC group consumed 30-60g/h carbohydrate, whereas the LCKD group consumed water, and electrolytes. RESULTS The LCKD group experienced a significantly greater decrease in body mass (HC -0.8kg, LCKD -5.9kg; P=0.006, effect size (ES): 0.338) and percentage body fat percentage (HC -0.7%, LCKD -5.2%; P=0.008, ES: 0.346). Fasting serum beta-hydroxybutyrate (βHB) significantly increased from 0.1 at baseline to 0.5mmol/L in the LCKD group (P=0.011, ES: 0.403) in week 12. There was no significant change in performance of the 100km TT between groups (HC -1.13min·s, LCKD -4.07min·s, P=0.057, ES: 0.196). SS sprint peak power increased by 0.8 watts per kilogram bodyweight (w/kg) in the LCKD group, versus a -0.1w/kg reduction in the HC group (P=0.025, ES: 0.263). CPT peak power decreased by -0.7w/kg in the HC group, and increased by 1.4w/kg in the LCKD group (P=0.047, ES: 0.212). Fat oxidation in the LCKD group was significantly greater throughout the 100km TT. CONCLUSIONS Compared to a HC comparison group, a 12-week period of keto-adaptation and exercise training, enhanced body composition, fat oxidation during exercise, and specific measures of performance relevant to competitive endurance athletes.


Physiological Measurement | 2016

Cardiopulmonary exercise testing in the MRI environment.

Richard A. LaFountain; Juliana Serafim da Silveira; Juliet Varghese; Georgeta Mihai; Debbie Scandling; Jason Craft; Carmen B. Swain; Veronica Franco; Subha V. Raman; Steven T. Devor; Orlando P. Simonetti

Maximal oxygen consumption ([Formula: see text]max) measured by cardiopulmonary exercise testing (CPX) is the gold standard for assessment of cardiorespiratory fitness. Likewise, cardiovascular magnetic resonance (CMR) is the gold standard for quantification of cardiac function. The combination of CPX and CMR may offer unique insights into cardiopulmonary pathophysiology; however, the MRI-compatible equipment needed to combine these tests has not been available to date. We sought to determine whether CPX testing in the MRI environment, using equipment modified for MRI yields results equivalent to those obtained in standard exercise physiology (EP) lab. Ten recreationally trained subjects completed [Formula: see text]max tests in different locations; an EP laboratory and an MRI laboratory, using site specific equipment. CMR cine images of the heart were acquired before and immediately after maximal exercise to measure cardiac function. Subjects in all tests met criteria indicating that peak exercise was achieved. Despite equipment modifications for the MRI environment, [Formula: see text]max was nearly identical between tests run in the different labs (95% lower confidence limit (LCL)  =  0.8182). The mean difference in [Formula: see text]max was less than 3.40 ml (kg/min)(-1), within the variability expected for tests performed on different days, in different locations, using different metabolic carts. MRI performed at rest and following peak exercise stress indicated cardiac output increased from 5.1  ±  1.0 l min(-1) to 16.4  ±  5.6 l min(-1), LVEF increased from 65.2  ±  3.3% to 78.4  ±  4.8%, while RVEF increased from 52.8  ±  5.3% to 63.4  ±  5.3%. Regression analysis revealed a significant positive correlation between [Formula: see text]max and stroke volume (R  =  0.788, P  =  0.006), while the correlation with cardiac output did not reach statistical significance (R  =  0.505, P  =  0.137). [Formula: see text]max CPX testing can be effectively performed in the MRI environment, enabling direct combination of physiological data with advanced post-exercise imaging in the same test session.


Journal of Cardiovascular Magnetic Resonance | 2016

Simultaneous VO2 and cardiac output measurement to estimate oxygen extraction (a-v)O2

Richard A. LaFountain; Juliet Varghese; Juliana Serafim da Silveira; Debbie Scandling; Orlando P. Simonetti

Background Chronic heart failure (CHF) is the leading hospital discharge diagnosis in patients over age 65 [1]. Emerging techniques in cardiovascular magnetic resonance (CMR) have resulted in unique opportunity for improvement of non-invasive assessment of the physiologic and anatomic effects of CHF. We have previously demonstrated the accuracy and feasibility of V̇O2 max measurements in the MRI environment using a modified metabolic cart [2]. Additionally, V̇O2 measures acquired within the MRI have been reported [3]. Existing methods describe non-invasive MRI measurement of whole body oxygen consumption via T2 imaging [4]. The Fick principle states V̇O2 = CO × (A-V)O2; where V̇O2 is oxygen consumption, CO is cardiac output, and (A-V)O2 is arteriovenous oxygen difference. Current modifications required for metabolic cart measures of oxygen consumption in the MRI environment present clinical challenges in widespread application. Using the Fick principle we sought to quantify and compare non-invasive MRI derived V̇O2 (MRI-V̇O2) quantification with metabolic cart measures of V̇O2 .


Cancer treatment and research | 2017

Pleiotropic effects of nutritional ketosis: Conceptual framework for keto-adaptation as a breast cancer therapy

Parker N. Hyde; Maryam B. Lustberg; Vincent J. Miller; Richard A. LaFountain; Jeff S. Volek


Journal of Strength and Conditioning Research | 2016

Interaction of Beta-Hydroxy-Beta-Methylbutyrate Free Acid and Adenosine Triphosphate on Muscle Mass, Strength, and Power in Resistance-Trained Individuals

Parker N. Hyde; Kristina L. Kendall; Richard A. LaFountain


The FASEB Journal | 2017

The Ketogenic Diet Alters Endocrine Regulation of Energy Metabolism in Ultra-Endurance Athletes

Vincent J. Miller; Parker N. Hyde; Ryan Dickerson; Richard A. LaFountain; Carl M. Maresh; William J. Kraemer; Jeff S. Volek


Medicine and Science in Sports and Exercise | 2017

Analysis Of Visceral Fat Tissue Via Dual-energy X-ray Absorptiometry And Magnetic Resonance Imaging: 1722 Board #3 June 1 1

Parker N. Hyde; Nathan Lamba; Christopher Crabtree; Debbie Scandling; Jay A. Short; Richard A. LaFountain; Teryn N. Sapper; Madison L. Bowling; Vincent J. Miller; Fionn T. Mc Swiney; Ryan Dickerson; Orlando P. Simonetti; Jeff S. Volek


Medicine and Science in Sports and Exercise | 2017

Cardiopulmonary Fitness in Prostate Cancer Patients Defines Subpopulations at Risk of Metabolic and Performance Declines: 1241 Board #5 June 1 8

Richard A. LaFountain; Debbie Scandling; Connor M. Geraghty; Brian C. Focht; Steven T. Devor; Carmen B. Swain; Subha V. Raman; Orlando P. Simonetti; Steven K. Clinton


Journal of Cardiovascular Magnetic Resonance | 2017

CMR-based blood oximetry via multi-parametric estimation using multiple T2 measurements

Juliet Varghese; Lee C. Potter; Richard A. LaFountain; Xueliang Pan; Subha V. Raman; Rizwan Ahmad; Orlando P. Simonetti

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Subha V. Raman

The Ohio State University Wexner Medical Center

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