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Pérusse, Louis

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Pérusse

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Louis

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Université Laval. Département de kinésiologie

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ncf10139306

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  • PublicationRestreint
    The PPAR-gamma P12A polymorphism modulates the relation between dietary fat intake and components of the metabolic syndrome : results from the Quebec Family Study
    (Blackwell-synergy, 2003-03-10) Pérusse, Louis; Vohl, Marie-Claude; Després, Jean-Pierre; Robitaille, Julie
    The metabolic syndrome is a complex disorder characterized by an atherogenic dyslipidemia resulting from the interaction between genetic and nutritional factors. The objective of this study was to examine in a cohort of 720 adults participating in the Québec Family Study (QFS) whether dietary fat interacts with the P12A polymorphism in the gene encoding the peroxisome proliferator‐activated receptor‐gamma (PPAR‐γ), a nuclear factor that regulates lipid and glucose homeostasis. Carriers of the A12 allele had a higher body mass index (BMI), waist circumference, fat mass as well as subcutaneous adipose tissue and visceral adipose tissue (VAT) areas both assessed by computed tomography than P12/P12 homozygotes. Total fat and saturated fat intakes estimated from a 3‐day food record were significantly correlated with several components of the metabolic syndrome in P12/P12 homozygotes. None of these expected associations were observed among carriers of the A12 allele. Furthermore, in a model including the PPAR‐γ P12A polymorphism, fat intake, age and gender, PPAR‐γ P12A and its interaction with fat intake were associated with BMI and waist circumference. Similar results were obtained when saturated fat intake replaced total fat intake into the model. When the two genotype groups were further classified into quartiles of total fat or saturated fat intake and their characteristics compared, an increase in fat intake was associated with an increase in waist circumference in P12/P12 homozygotes but not in A12 carriers. There was no difference in the waist circumference in carriers of the A12 allele whether the fat or the saturated fat intake was high or low. These results suggest that the PPAR‐γ P12A polymorphism can modulate the association between dietary fat intake and components of the metabolic syndrome.
  • PublicationAccès libre
    Association between metabolite profiles, metabolic syndrome and obesity status
    (MDPI, 2016-05-27) Allam-Ndoul, Bénédicte; Guénard, Frédéric; Cormier, Hubert; Garneau, Véronique; Pérusse, Louis; Barbier, Olivier; Vohl, Marie-Claude
    Underlying mechanisms associated with the development of abnormal metabolic phenotypes among obese individuals are not yet clear. Our aim is to investigate differences in plasma metabolomics profiles between normal weight (NW) and overweight/obese (Ov/Ob) individuals, with or without metabolic syndrome (MetS). Mass spectrometry-based metabolite profiling was used to compare metabolite levels between each group. Three main principal components factors explaining a maximum of variance were retained. Factor 1’s (long chain glycerophospholipids) metabolite profile score was higher among Ov/Ob with MetS than among Ov/Ob and NW participants without MetS. This factor was positively correlated to plasma total cholesterol (total-C) and triglyceride levels in the three groups, to high density lipoprotein -cholesterol (HDL-C) among participants without MetS. Factor 2 (amino acids and short to long chain acylcarnitine) was positively correlated to HDL-C and negatively correlated with insulin levels among NW participants. Factor 3’s (medium chain acylcarnitines) metabolite profile scores were higher among NW participants than among Ov/Ob with or without MetS. Factor 3 was negatively associated with glucose levels among the Ov/Ob with MetS. Factor 1 seems to be associated with a deteriorated metabolic profile that corresponds to obesity, whereas Factors 2 and 3 seem to be rather associated with a healthy metabolic profile.
  • PublicationAccès libre
    The rare allele of DGKZ SNP rs10838599 is associated with variability in HDL-cholesterol levels among severely obese patients
    (Open Access Text Pvt. Ltd, 2016-05-12) Guénard, Frédéric; Pérusse, Louis; Hould, Frédéric-Simon; Deshaies, Yves; Marceau, Picard; Bégin, Stéphanie; Vohl, Marie-Claude; Lebel, Stéfane; Tchernof, André
    Introduction: Diacylglycerol kinase-zeta, one of the ten isoforms of DGKs expressed in mammals is an important enzyme of lipid metabolism. It catalyzes the interconversion of diacylglycerol and phosphatidic acid, two major second messengers. Its gene DGKZ has been previously identified as being overexpressed and undermethylated in visceral adipose tissue of patients with (MetS+) versus without (MetS-) the metabolic syndrome (MetS). Objective: The aim of this study was to investigate the associations between DGKZ gene polymorphisms (SNPs) and phenotypes related to MetS (BMI, waist girth, CRP, fasting glucose, lipid profile (triglycerides, total-cholesterol, LDL-cholesterol and HDL-cholesterol (HDL-C)), resting systolic and diastolic blood pressures). Methods: The study sample included 1752 severely obese participants who underwent bariatric surgery. Associations between the five selected tSNPs of DGKZ and features of the MetS were tested. The effects of these SNPs on DGKZ methylation and expression levels were tested in subgroups of 32 and 14 obese subjects, respectively. Correlations between methylation and expression levels were also computed. Results: Homozygotes for the rare allele of rs10838599 displayed higher plasma HDL-C concentrations compared to the other genotype groups (p=0.03). For gene methylation, only a trend with the cg05412031 CpG site (p=0.09) was found for the single significantly phenotype-associated SNP. There was no significant correlation between DGKZ methylation at cg05412031 and expression levels. Conclusion: These results suggest that DGKZ SNP rs10838599 modulates plasma HDL-C levels thereby its gene contributes to the inter-individual variability observed in the cardiometabolic risk profile of patients with severe obesity.
  • PublicationRestreint
    A CpG-SNP located within the ARPC3 gene promoter is associated with hypertriglyceridemia in severely obese patients
    (S. Karger AG, 2016-04-08) Guénard, Frédéric; Biron, Simon; Toro Martin, Juan de; Deshaies, Yves; Biertho, Laurent; Pérusse, Louis; Lescelleur, Odette; Vohl, Marie-Claude; Tchernof, André; Marceau, Simon
    Aims: To test the potential association of cytosine-phosphate-guanine dinucleotides (CpG)-single-nucleotide polymorphisms (SNPs) located within actin-related protein 2/3 complex subunit 3 (ARPC3), a gene recently linked to adipogenesis and lipid accumulation, with metabolic syndrome (MetS) features in severely obese patients. Methods: Prioritized SNPs within the ARPC3 locus were genotyped and tested for associations with MetS features in a cohort of 1,749 obese patients with and without MetS. Association testing with CpG methylation levels was performed in a methylation sub-cohort of 16 obese men. Results: A significant association was found between the CpG-SNP rs3759384 (C>T) and plasma triglyceride (TG) levels (false discovery rate-corrected p = 3.5 × 10-2), with 0.6% of the phenotypic variance explained by the CpG-SNP, and with TT homozygotes showing the highest plasma TG levels (1.89 mmol/l). The carriers of the rs3759384 T allele also showed a significant decrease in methylation levels of the ARPC3 promoter-associated CpG site cg10738648 in both visceral adipose tissue and blood. ARPC3 expression levels showed a strong correlation with plasma TG levels (r = 0.70; p = 0.02). Conclusions: The increased plasma TG levels found in homozygous rs3759384 T allele carriers argue for a relevant role of this CpG-SNP in lipid management among obese individuals, which may be driven by an epigenetic-mediated mechanism.
  • PublicationRestreint
    Associations between USF1 gene variants and cardiovascular risk factors in the Quebec Family Study
    (Munksgaard, 2007-01-22) Choquette, Anne.; Bouchard, Claude; Pérusse, Louis; Houde, Alain; Vohl, Marie-Claude; Bouchard, Luigi
    Cardiovascular (CVD) risk factors are under the influence of environmental and genetic factors. Human upstream transcription factor 1 gene (USF1) encodes for a transcription factor, which modulates the expression of genes involved in lipid and carbohydrate metabolic pathways. The aim of this study was to test the hypothesis that USF1 gene variants are associated with CVD risk factors in the Quebec Family Study (QFS). USF1 has been sequenced in 20 QFS subjects with high plasma apolipoprotein B100 (APOB) levels (>1.14 g/l) and small, dense low‐density lipoprotein (LDL) particles (≥250.7 Å and ≤255.9 Å), as well as in five subjects with larger LDL particles. Ten variants were identified in non‐coding regions of USF1. Two of these polymorphisms (intron 7 c.561–100 G>A, and exon 11 c.*187 C>T) as well as the c.‐56 A>G polymorphism, were genotyped and analyzed in 760 subjects from QFS. Association studies showed that women with c.561‐100 A/A and c.*187 T/T genotypes had more favorable adiposity indices (<0.04). In summary, significant associations between relatively common USF1 genetic variants and CVD risk factors were observed in French Canadians.
  • PublicationRestreint
    Differential methylation in visceral adipose tissue of obese men discordant for metabolic disturbances
    (American Physiological Society, 2014-03-15) Guénard, Frédéric; Biron, Simon; Biertho, Laurent; Pérusse, Louis; Lescelleur, Odette; Vohl, Marie-Claude; Deshaies, Yves; Marceau, Simon; Tchernof, André
    Obesity is associated with an increased risk of Type 2 diabetes and cardiovascular diseases (CVD). The severely obese population is heterogeneous regarding CVD risk profile. Our objective was to identify metabolic pathways potentially associated with development of metabolic syndrome (MetS) through an analysis of overrepresented pathways from differentially methylated genes between severely obese men with (MetS+) and without (MetS-) the MetS. Genome-wide quantitative DNA methylation analysis in VAT of severely obese men was carried out using the Infinium HumanMethylation450 BeadChip. Differences in methylation levels between MetS+ (n = 7) and MetS- (n = 7) groups were tested. Overrepresented pathways from the list of differentially methylated genes were identified and visualized with the Ingenuity Pathway Analysis system. Differential methylation analysis between MetS+ and MetS- groups identified 8,578 methylation probes (3,258 annotated genes) with significant differences in methylation levels (false discovery rate-corrected DiffScore ≥ |13| ∼ P ≤ 0.05). Pathway analysis from differentially methylated genes identified 41 overrepresented (P ≤ 0.05) pathways. The most overrepresented pathways were related to structural components of the cell membrane, inflammation and immunity and cell cycle regulation. This study provides potential targets associated with adipose tissue dysfunction and development of the MetS.