Antony Karelis

Dr. Antony Karelis

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2008 in The Lancet
Verified
Journal Article
Closed access
AKAntony Karelis
Antony Karelis

8 December 2014 in Diabetes/Metabolism Research and Reviews
Verified
Journal Article
Closed access
PDF file
CBChristian Bleau
Christian Bleau
AKAntony Karelis
Antony Karelis
DSDavid H. St‐Pierre
David H. St‐Pierre
LLLucie Lamontagne
Lucie Lamontagne

27 May 2008 in Diabetologia
Verified
Journal Article
Closed access
PDF file
AKAntony Karelis
Antony Karelis
VMV. Messier
V. Messier
MBM. Brochu
M. Brochu
RRR. Rabasa-Lhoret
R. Rabasa-Lhoret

1 May 2010 in Obesity
Verified
Journal Article
Closed access
PDF file
VMVirginie Messier
Virginie Messier
AKAntony Karelis
Antony Karelis
DPDenis Prud'Homme
Denis Prud'Homme
VPVanessa Primeau
Vanessa Primeau
MBMartin Brochu
Martin Brochu
RRRémi Rabasa‐Lhoret
Rémi Rabasa‐Lhoret

12 May 2016 in Nutrients
Verified
Journal Article
Open access
PDF file
SRSabri Ahmed Rial
Sabri Ahmed Rial
AKAntony Karelis
Antony Karelis
KBKarl-Frederik Bergeron
Karl-Frederik Bergeron
Catherine MounierCatherine Mounier
Catherine Mounier
Obesity and associated metabolic complications, such as non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2D), are in constant increase around the world. While most obese patients show several metabolic and biometric abnormalities and comorbidities, a subgroup of patients representing 3% to 57% of obese adults, depending on the diagnosis criteria, remains metabolically healthy. Among many other factors, the gut microbiota is now identified as a determining factor in the pathogenesis of metabolically unhealthy obese (MUHO) individuals and in obesity-related diseases such as endotoxemia, intestinal and systemic inflammation, as well as insulin resistance. Interestingly, recent studies suggest that an optimal healthy-like gut microbiota structure may contribute to the metabolically healthy obese (MHO) phenotype. Here, we describe how dietary medium chain triglycerides (MCT), previously found to promote lipid catabolism, energy expenditure and weight loss, can ameliorate metabolic health via their capacity to improve both intestinal ecosystem and permeability. MCT-enriched diets could therefore be used to manage metabolic diseases through modification of gut microbiota.

1 January 2013 in Applied Physiology, Nutrition, and Metabolism
Verified
Journal Article
Closed access
AKAntony Karelis
Antony Karelis
GCGabriel Chamberland
Gabriel Chamberland
MAMylène Aubertin-Leheudre
Mylène Aubertin-Leheudre
CDChristian Duval
Christian Duval
EGEcological mobility in Aging and Parkinson (EMAP) group
Ecological mobility in Aging and Parkinson (EMAP) group
One of the major challenges in field research has been the difficulty to adequately measure body composition, such as % body fat and fat-free mass (FFM). Therefore, the purpose of the present study was to investigate the convergent validity of the portable bioelectrical impedance body composition analyzer, the Inbody 230, with dual X-ray absorptiometry (DXA) (General Electric Lunar Prodigy). The study population consisted of 145 men and women (age, 44.6 ± 20 years; BMI, 24.5 ± 3.8 kg·m–2). We measured body composition (fat mass, % body fat, total FFM, trunk FFM, and appendicular FFM) using DXA and the Inbody 230. Results show strong significant correlations between both methods for fat mass, % body fat, total FFM, and trunk FFM (r = 0.94–0.99). Furthermore, we showed a modest significant correlation between both methods for appendicular FFM (r = 0.63). Finally, as shown by Bland–Altman analysis, no significant biases were observed between Inbody 230 and DXA for fat mass, % body fat, and total FFM. However, trunk and appendicular FFM were shown to have significant biases between the Inbody 230 and DXA. In conclusion, the present study indicated that the portable Inbody 230 may be an acceptable device to measure fat mass, % body fat, and total FFM (except for women) in healthy adults. In addition, there appears to be a systematic bias for the estimation of trunk and appendicular FFM with the Inbody 230 in men and women.