scholarly journals Comparison of Postprandial Responses to a High-Fat Meal in Hypertriglyceridemic Men and Women before and after Treatment with Fenofibrate in the Genetics and Lipid Lowering Drugs and Diet Network (GOLDN) Study

2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Stephen P. Glasser ◽  
Mary K. Wojczynski ◽  
A. l. Oberman ◽  
Edmond K. Kabagambe ◽  
Michael Y. Tsai ◽  
...  
Metabolism ◽  
2015 ◽  
Vol 64 (10) ◽  
pp. 1359-1371 ◽  
Author(s):  
Mary K. Wojczynski ◽  
Laurence D. Parnell ◽  
Toni I. Pollin ◽  
Chao Q. Lai ◽  
Mary F. Feitosa ◽  
...  

2011 ◽  
Vol 10 (1) ◽  
pp. 181 ◽  
Author(s):  
Mary K Wojczynski ◽  
Stephen P Glasser ◽  
Albert Oberman ◽  
Edmond K Kabagambe ◽  
Paul N Hopkins ◽  
...  

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Mary K Wojczynski ◽  
Laurence D Parnell ◽  
M R Irvin ◽  
Robert J Straka ◽  
Jose M Ordovas ◽  
...  

Genetic variants associated with fasting plasma triglycerides (TG) have been reported in the literature. Less is known about genetic variants influencing TG response to dietary factors, specifically a fat challenge (postprandial lipemia, PPL). Additionally, little is known about genetic variants associated with response to pharmacologic agents, such as fenofibrate (FFB), which are used to reduce plasma levels of TG. Preliminary genome-wide association (GWA) analyses on three interventions: 1) FFB; 2) PPL before FFB; and 3) PPL after FFB, implicated different genetic variants associated with the TG response. Therefore, we hypothesized that FFB treatment modifies gene effects on TG response to a dietary postprandial fat challenge. We analyzed participants (N=693) from the GOLDN study who ingested a standardized high-fat meal containing 83% fat and 700 calories/m2 both before and after 3 weeks of daily FFB treatment, thereby having two postprandial plasma TG assessments. Plasma TG was measured at baseline, 3.5 hrs, and 6 hrs after each high-fat meal. The area under the curve (AUC) describing the change in plasma TG concentration over the PPL period was calculated using the trapezoid method. Standardized TG AUC residuals were obtained by using a growth curve method and a stepwise regression approach, retaining covariate terms (age, age2, age3, sex, field center, baseline TG, and principle components (EIGENSTRAT)) that were significant at 5% level. A GWA scan of ∼2.5 million typed or imputed single nucleotide polymorphisms (SNPs) was undertaken to identify gene by FFB treatment interaction effects on the TG AUC PPL response using a repeated measures mixed model with a random effect to adjust for family relatedness. The GWA model included a SNP effect, FFB effect (before or after treatment), and an interaction term (SNP*FFB). For TG AUC residuals, we found GWA significant associations with 8 variants in LDLRAD3 (11p13) for the SNP*FFB term (p<5E-08), and the accompanying main effect terms had suggestive (p<1E-05) associations. These 8 variants are in one linkage disequilibrium block, and indicate that FFB interacts with these variants to decrease their independent effects on TG AUC. In analyses using only the SNP, these 8 variants had p-values <0.005 for TG response to PPL both before and after FFB. SNPs in this group associate with expression of CD44, a molecule which binds osteopontin which is an activator of human adipose tissue macrophages and adipocyte function. This analysis highlights a new gene implicated in TG metabolism whose effect on dietary TG responses to fat ingestion is modified by FFB, possibly by acting through CD44. Further investigation into this gene region is needed in order to enhance our understanding of the underlying mechanistic processes involved in TG metabolism during the postprandial state and the effect of FFB treatment.


Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 4000
Author(s):  
Marguerite R. Irvin ◽  
May E. Montasser ◽  
Tobias Kind ◽  
Sili Fan ◽  
Dinesh K. Barupal ◽  
...  

Postprandial lipemia (PPL) is an important risk factor for cardiovascular disease. Inter-individual variation in the dietary response to a meal is known to be influenced by genetic factors, yet genes that dictate variation in postprandial lipids are not completely characterized. Genetic studies of the plasma lipidome can help to better understand postprandial metabolism by isolating lipid molecular species which are more closely related to the genome. We measured the plasma lipidome at fasting and 6 h after a standardized high-fat meal in 668 participants from the Genetics of Lipid-Lowering Drugs and Diet Network study (GOLDN) using ultra-performance liquid chromatography coupled to (quadrupole) time-of-flight mass spectrometry. A total of 413 unique lipids were identified. Heritable and responsive lipid species were examined for association with single-nucleotide polymorphisms (SNPs) genotyped on the Affymetrix 6.0 array. The most statistically significant SNP findings were replicated in the Amish Heredity and Phenotype Intervention (HAPI) Heart Study. We further followed up findings from GOLDN with a regional analysis of cytosine-phosphate-guanine (CpGs) sites measured on the Illumina HumanMethylation450 array. A total of 132 lipids were both responsive to the meal challenge and heritable in the GOLDN study. After correction for multiple testing of 132 lipids (α = 5 × 10−8/132 = 4 × 10−10), no SNP was statistically significantly associated with any lipid response. Four SNPs in the region of a known lipid locus (fatty acid desaturase 1 and 2/FADS1 and FADS2) on chromosome 11 had p < 8.0 × 10−7 for arachidonic acid FA(20:4). Those SNPs replicated in HAPI Heart with p < 3.3 × 10−3. CpGs around the FADS1/2 region were associated with arachidonic acid and the relationship of one SNP was partially mediated by a CpG (p = 0.005). Both SNPs and CpGs from the fatty acid desaturase region on chromosome 11 contribute jointly and independently to the diet response to a high-fat meal.


2008 ◽  
Vol 22 (S1) ◽  
Author(s):  
Amanda Linares ◽  
Dianne Hyson ◽  
Tissa Kappagoda ◽  
Britt Burton‐Freeman

Author(s):  
Lanny C. Gultom ◽  
Damayanti R. Sjarif ◽  
Herawati A. Sudoyo ◽  
Muchtaruddin Mansyur ◽  
Sri Rezeki S. Hadinegoro ◽  
...  

AbstractLifestyle changes are important factors for managing dyslipidemia before considering blood lipid-lowering drugs. However, genetic factors can influence the response outcome.We aimed to determine a dyslipidemia management strategy in obese adolescents.: A total of 60 dyslipidemic obese adolescents received physical exercise and the NCEP step II diet for 28 days. Apolipoprotein E (apo E) genotypes and blood lipid levels were compared before and after interventions.The apoApo E alleles might influence improvement in lipid profiles after diet and exercise interventions. These results could inform personalized dyslipidemia management in obese adolescents, to determine which subjects would benefit from blood lipid-lowering drugs.


2018 ◽  
Vol 59 (4) ◽  
pp. 722-729 ◽  
Author(s):  
Xin Geng ◽  
Marguerite R. Irvin ◽  
Bertha Hidalgo ◽  
Stella Aslibekyan ◽  
Vinodh Srinivasasainagendra ◽  
...  

Our understanding of genetic influences on the response of lipids to specific interventions is limited. In this study, we sought to elucidate effects of rare genetic variants on lipid response to a high-fat meal challenge and fenofibrate (FFB) therapy in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) cohort using an exome-wide sequencing-based association study. Our results showed that the rare coding variants in ITGA7, SIPA1L2, and CEP72 are significantly associated with fasting LDL cholesterol response to FFB (P = 1.24E-07), triglyceride postprandial area under the increase (AUI) (P = 2.31E-06), and triglyceride postprandial AUI response to FFB (P = 1.88E-06), respectively. We sought to replicate the association for SIPA1L2 in the Heredity and Phenotype Intervention (HAPI) Heart Study, which included a high-fat meal challenge but not FFB treatment. The associated rare variants in GOLDN were not observed in the HAPI Heart study, and thus the gene-based result was not replicated. For functional validation, we found that gene transcript level of SIPA1L2 is associated with triglyceride postprandial AUI (P < 0.05) in GOLDN. Our study suggests unique genetic mechanisms contributing to the lipid response to the high-fat meal challenge and FFB therapy.


Author(s):  
Steve K. Teo ◽  
Michael R. Scheffler ◽  
Karin A. Kook ◽  
William G. Tracewell ◽  
Wayne A. Colburn ◽  
...  

2020 ◽  
Vol 52 (7S) ◽  
pp. 233-233
Author(s):  
Justin J. Duong ◽  
Breanne S. Collison ◽  
S.M. Majedul Karim ◽  
Darren S. DeLorey
Keyword(s):  
High Fat ◽  

2007 ◽  
Vol 85 (1) ◽  
pp. 102-108 ◽  
Author(s):  
Edward P Weiss ◽  
Josef Brandauer ◽  
Onanong Kulaputana ◽  
Ioana A Ghiu ◽  
Christopher R Wohn ◽  
...  

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