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Featured researches published by Diane Mignault.


Applied Physiology, Nutrition, and Metabolism | 2008

Relationship between the metabolic syndrome and physical activity energy expenditure : a MONET study.

Antony D. Karelis; Marie-Ève Lavoie; Virginie Messier; Diane Mignault; D Garrel; Denis Prud’homme; Rémi Rabasa-Lhoret

The purpose of this cross-sectional study was to examine the association between the metabolic syndrome (MetS) and physical activity energy expenditure (PAEE) in overweight and obese sedentary postmenopausal women. The study population consisted of 137 overweight and obese sedentary postmenopausal women (age, 57.7 +/- 4.8 years; BMI, 32.4 +/- 4.6 kg.m(-2)). Subjects had the MetS if 3 out of the following 5 criteria were met: visceral fat > 130 cm2, high-density lipoprotein (HDL) cholesterol < 1.29 mmol.L(-1), fasting triglycerides > or = 1.7 mmol.L(-1), blood pressure > or = 130/85 mmHg, and fasting glucose > or =5.6 mmol.L(-1). We measured (i) body composition (by dual-energy X-ray absorptiometry); (ii) visceral fat (by computed tomography); (iii) insulin sensitivity (using the hyperinsulinemic-euglycemic clamp); (iv) plasma lipids, fasting glucose, and insulin, as well as 2 h glucose during an oral glucose tolerance test; (v) resting blood pressure; (vi) peak oxygen consumption (VO2 peak); (vii) PAEE (using doubly labeled water); and (viii) lower-body muscle strength (using weight-training equipment). Forty-two women (30.7%) had the MetS in our cohort. Individuals without the MetS had significantly higher levels of PAEE (962 +/- 296 vs. 837 +/- 271 kcal.d(-1); p < 0.05), VO2 peak (18.2 +/- 3.0 vs. 16.7 +/- 3.2 mL.min(-1).kg(-1); p < 0.05), and insulin sensitivity, as well as significantly lower levels of 2 h glucose and central lean body mass. No differences in total energy expenditure, resting metabolic rate, and muscle strength between groups were observed. Logistic regression analysis showed that 2 h glucose (odds ratio (OR): 1.50 (95% CI 1.17-1.92)), central lean body mass (OR: 1.17 (95% CI 1.05-1.31)), and PAEE (OR: 0.998 (95% CI 0.997-1.000)), but not VO2 peak and (or) muscle strength, were independent predictors of the MetS. Lower levels of PAEE and higher levels of 2 h glucose, as well as central lean body mass, are independent determinants of the MetS in our cohort of overweight and obese postmenopausal women.


European Journal of Endocrinology | 2007

Association of acylated ghrelin profiles with chronic inflammatory markers in overweight and obese postmenopausal women: a MONET study

David H. St-Pierre; Jean-Philippe Bastard; Lise Coderre; Martin Brochu; Antony D. Karelis; Marie-Ève Lavoie; F.M. Malita; Jonathan Fontaine; Diane Mignault; Katherine Cianflone; Pascal Imbeault; Éric Doucet; Rémi Rabasa-Lhoret

OBJECTIVE Recent reports have suggested that the existence of associations between hormonal dysregulation and chronic upregulation of inflammatory markers, which may cause obesity-related disturbances. Thus, we examined whether acylated ghrelin (AcylG) and total ghrelin (TotG) levels could be associated with the following inflammatory markers: C-reactive protein (CRP), tumor necrosis factor alpha (TNF-alpha), and soluble TNF receptor 1 (sTNF-R1). DESIGN Cross-sectional study consisting of 50 overweight and obese postmenopausal women. METHODS AcylG and TotG levels were assessed at 0, 60, 160, 170, and 180 min of the euglycemic/hyperinsulinemic clamp (EHC). We evaluated insulin sensitivity, body composition, and blood lipid profiles as well as fasting concentrations of CRP, TNF-alpha, and sTNF-R1. RESULTS In fasting conditions, sTNF-R1 was negatively correlated with AcylG (r = -0.48, P < 0.001) levels. In addition, AcylG/TotG was associated negatively with sTNF-R1 (r = -0.44, P = 0.002) and positively with TNF-alpha (r = 0.38, P = 0.009) values. During the EHC, TotG (at all time points) and AcylG (at 60 and 160 min) values were significantly decreased from fasting concentrations. AcylG maximal reduction and area under the curve (AUC) values were correlated to sTNF-R1 (r = -0.35, P = 0.02 and r = -0.34, P = 0.02, respectively). Meanwhile, the AcylG/TotG AUC ratio was associated negatively with sTNF-R1 (r = -0.29, P < 0.05) and positively with TNF-alpha (r = 0.36, P = 0.02). Following adjustments for total adiposity, sTNF-R1 remained correlated with fasting and maximal reduction AcylG values. Similarly, AcylG/TotG ratios remained significantly correlated with sTNF-R1 and TNF-alpha. Importantly, 23% of the variation in sTNF-R1 was independently predicted by fasting AcylG. CONCLUSION These results are the first to suggest that both fasting and EHC-induced AcylG profiles are correlated with fasting values of sTNF-R1, a component of the TNF-alpha system. Thus, AcylG may act, at least in part, as one mediator of chronic inflammatory activity in human obesity.


Lipids | 2002

Simultaneous evaluation of HMG-CoA reductase and cholesterol 7α-hydroxylase activities by electrospray tandem MS

Marie-Yvonne Ndong-Akoume; Diane Mignault; Shahid Perwaiz; Gabriel L. Plaa; Ibrahim M. Yousef

Simultaneous evaluation of HMG-CoA reductase and cholesterol 7α-hydroxylase activities by electrospray tandem mass spectrometry (ES-MS-MS) was performed. The assay was based on the measurement of mevalonolactone (MVL) and 7α-hydroxycholesterol (7α-OHC) produced by the incubation of HMG-CoA with hepatic microsomes in the presence of NADPH and glucose-6-phosphate dehydrogenase. Following extraction and purification using a cyanopropyl cartridge, MVL and 7α-OHC were analyzed, without derivatization, by ES-MS-MS. The analysis was achieved in 5 min. Calibration curves were made for MVL and 7α-OHC, and were linear from 0 to 100 μg. The recovery was >97%. The procedure was validated under similar calibration and recovery experiments, by measuring the above mentioned products as dimethylethylsilyl ether derivatives using the classical technique of GC-MS. Data obtained by ES-MS-MS and GC-MS showed a good correlation, with no significant differences. ES-MS-MS is a simple and reliable method for the evaluation of HMG-CoA reductase and cholesterol 7α-hydroxylase activities in liver microsomal preparations.


Lipids | 2002

Rapid and improved method for the determination of bile acids in human feces using MS

Shahid Perwaiz; Diane Mignault; Beatriz Tuchweber; Ibrahim M. Yousef

A simple method for the determination of bile acids in adult human fecal samples using GC-MS is described. Bile acids are directly extracted from feces by ethanol (95%) containing 0.1 N NaOH. Extracts are purified by passage through a reversed-phase C18 silica cartridge and then analyzed by GC-MS. The present study has shown that lyophilized human feces contain mainly free bile acids, with lithocholic acid (LCA) and deoxycholic acid (DCA) as the major bile acids; however, isomers of LCA and DCA, keto-bile acids, and cholic acid are also present. Any traces of conjugated bile acids are hydrolyzed before the C18 extraction by deconjugating enzymes, which are present in feces and are activated by the addition of water during the homogenization step. Thus, the analysis of fecal bile acids can be performed without the hydrolysis step in less than 4 h in comparison to traditional techniques, which usually require at least 48 h.


Scientific Reports | 2018

Serum Metabolomics of Activity Energy Expenditure and its Relation to Metabolic Syndrome and Obesity

Marie S. A. Palmnäs; Karen Kopciuk; Rustem Shaykhutdinov; Paula J. Robson; Diane Mignault; Rémi Rabasa-Lhoret; Hans J. Vogel; Ilona Csizmadi

Modifiable lifestyle factors, including exercise and activity energy expenditure (AEE), may attenuate the unfavorable health effects of obesity, such as risk factors of metabolic syndrome (MetS). However, the underlying mechanisms are not clear. In this study we sought to investigate whether the metabolite profiles of MetS and adiposity assessed by body mass index (BMI) and central obesity are inversely correlated with AEE and physical activity. We studied 35 men and 47 women, aged 30–60 years, using doubly labeled water to derive AEE and the Sedentary Time and Activity Reporting Questionnaire (STAR-Q) to determine the time spent in moderate and vigorous physical activity. Proton nuclear magnetic resonance spectroscopy was used for serum metabolomics analysis. Serine and glycine were found in lower concentrations in participants with more MetS risk factors and greater adiposity. However, serine and glycine concentrations were higher with increasing activity measures. Metabolic pathway analysis and recent literature suggests that the lower serine and glycine concentrations in the overweight/obese state could be a consequence of serine entering de novo sphingolipid synthesis. Taken together, higher levels of AEE and physical activity may play a crucial part in improving metabolic health in men and women with and without MetS risk factors.


Journal of Lipid Research | 2001

Determination of bile acids in biological fluids by liquid chromatography-electrospray tandem mass spectrometry

Shahid Perwaiz; Beatriz Tuchweber; Diane Mignault; Tuvia Gilat; Ibrahim M. Yousef


Hepatology | 2003

Severe cholestasis induced by cholic acid feeding in knockout mice of sister of P-glycoprotein.

Renxue Wang; Ping Lam; Lin Liu; Dana Forrest; Ibrahim M. Yousef; Diane Mignault; M. James Phillips; Victor Ling


The Journal of Clinical Endocrinology and Metabolism | 2007

Association of Acylated and Nonacylated Ghrelin with Insulin Sensitivity in Overweight and Obese Postmenopausal Women

David H. St-Pierre; Antony D. Karelis; Lise Coderre; F.M. Malita; Jonathan Fontaine; Diane Mignault; Martin Brochu; Jean-Philippe Bastard; Katherine Cianflone; Éric Doucet; Pascal Imbeault; Rémi Rabasa-Lhoret


Diabetes Care | 2005

Evaluation of the Portable HealthWear Armband: A device to measure total daily energy expenditure in free-living type 2 diabetic individuals

Diane Mignault; Maxime St.-Onge; Antony D. Karelis; David B. Allison; Rémi Rabasa-Lhoret


The Journal of Clinical Endocrinology and Metabolism | 2004

Relationship between ghrelin and energy expenditure in healthy young women.

David H. St-Pierre; Antony D. Karelis; Katherine Cianflone; Florence Conus; Diane Mignault; Rémi Rabasa-Lhoret; Maxime St-Onge; Andréanne Tremblay-Lebeau; Eric T. Poehlman

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Antony D. Karelis

Université du Québec à Montréal

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Shahid Perwaiz

Université de Montréal

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David H. St-Pierre

Université du Québec à Montréal

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Martin Brochu

Université de Sherbrooke

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F.M. Malita

Université de Montréal

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