Abstract P328: Genetic Variants Involved in Postprandial Triglyceride Metabolism are Modified by Fenofibrate Treatment in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study

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.

2015 ◽  
Vol 145 (12) ◽  
pp. 2657-2664 ◽  
Author(s):  
François Mariotti ◽  
Marion Valette ◽  
Christelle Lopez ◽  
Hélène Fouillet ◽  
Marie-Hélène Famelart ◽  
...  

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.


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 ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Stephanie M. Wilson ◽  
Adam P. Maes ◽  
Carl J. Yeoman ◽  
Seth T. Walk ◽  
Mary P. Miles

Abstract Background Dyslipidemia is a feature of impaired metabolic health in conjunction with impaired glucose metabolism and central obesity. However, the contribution of factors to postprandial lipemia in healthy but metabolically at-risk adults is not well understood. We investigated the collective contribution of several physiologic and lifestyle factors to postprandial triglyceride (TG) response to a high-fat meal in healthy, overweight and obese adults. Methods Overweight and obese adults (n = 35) underwent a high-fat meal challenge with blood sampled at fasting and hourly in the 4-hour postprandial period after a breakfast containing 50 g fat. Incremental area under the curve (iAUC) and postprandial magnitude for TG were calculated and data analyzed using a linear model with physiologic and lifestyle characteristics as explanatory variables. Model reduction was used to assess which explanatory variables contributed most to the postprandial TG response. Results TG responses to a high-fat meal were variable between individuals, with approximately 57 % of participants exceeded the nonfasting threshold for hypertriglyceridemia. Visceral adiposity was the strongest predictor of TG iAUC (β = 0.53, p = 0.01), followed by aerobic exercise frequency (β = 0.31, p = 0.05), insulin resistance based on HOMA-IR (β = 0.30, p = 0.04), and relative exercise intensity at which substrate utilization crossover occurred (β = 0.05, p = 0.04). For postprandial TG magnitude, visceral adiposity was a strong predictor (β = 0.43, p < 0.001) followed by aerobic exercise frequency (β = 0.23, p = 0.01), and exercise intensity for substrate utilization crossover (β = 0.53, p = 0.01). Conclusions Postprandial TG responses to a high-fat meal was partially explained by several physiologic and lifestyle characteristics, including visceral adiposity, insulin resistance, aerobic exercise frequency, and relative substrate utilization crossover during exercise. Trial Registration ClinicalTrials.gov, NCT04128839, Registered 16 October 2019 – Retrospectively registered.


2006 ◽  
Vol 110 (3) ◽  
pp. 387-392 ◽  
Author(s):  
Jaume Padilla ◽  
Ryan A. Harris ◽  
Alyce D. Fly ◽  
Lawrence D. Rink ◽  
Janet P. Wallace

The measurement of brachial artery vasodilation in response to a hyperaemic stimulus has been used extensively to assess changes in endothelial function. However, whether or not similar changes occur in response to an active hyperaemic stimulus is unknown. The purpose of the present study was to compare brachial artery vasodilation in response to an active compared with a reactive hyperaemic stimulus following a known perturbation of endothelial function. Eight apparently healthy adults were assigned to four treatment conditions in a counter-balanced design: (i) low-fat meal with active hyperaemic stimulus (LFM-A), (ii) high-fat meal with active hyperaemic stimulus (HFM-A), (iii) low-fat meal with reactive hyperaemic stimulus (LFM-R), and (iv) high-fat meal with reactive hyperaemic stimulus (HFM-R). Meals were ingested at 08:00 hours on each treatment day. Brachial artery vasodilation was assessed via ultrasound 4 h after ingestion of each meal. The active hyperaemic stimulus was induced by 5 min of rhythmic handgrip exercise, whereas reactive hyperaemia was induced by 5 min of forearm occlusion. Brachial artery vasodilation was expressed as the percentage change in diameter from baseline to post-active/reactive hyperaemia. Using a 2×2 repeated measures ANOVA, a significant stimulus×meal interaction (P=0.025) was found. Simple main effects revealed no difference (P=0.541) in brachial artery vasodilation between LFM-A (5.75±1.64%) and HFM-A (6.39±1.45%); however, a significant decrease (P=0.014) in brachial artery vasodilation was found in the HFM-R (4.29±1.64%) compared with the LFM-R (7.18±1.13%) treatment. In conclusion, the measurement of brachial artery vasodilation in response to active hyperaemia did not detect a change in endothelial function following a single perturbation meal, whereas reactive hyperaemia did.


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

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Chih-Hui Chiu ◽  
Tsung-Jen Yang ◽  
Che-Hsiu Chen ◽  
Ming-Jing Zeng

Abstract Background This study investigated the effects of ingesting meals with the same calorie intake but distinct nutritional contents after exercise on postprandial lipemia the next day. Methods Eight healthy male participants completed two 2-day trials in a random order. On day 1, the participants underwent five 12 min bouts of cycling exercise with a bout of higher intensity exercise (4 min) after each and then a bout of lower intensity cycling (2 min). The total exercise time was 90 min. After the exercise, the participants ingested three high-fat or low-fat meals. On Day 2, the participants were asked to rest in the laboratory and ingest a high-fat meal. Their postprandial reaction after a high-fat meal was observed. Results Postprandial triglyceride concentrations in the high-fat diet trial and low-fat diet trial exhibited nonsignificant differences. Total TG AUC were no significantly different on HF trial and LF trial (HF: 6.63 ± 3.2; LF: 7.20 ± 3.4 mmol/L*4 h. p = 0.586). However, the postprandial fat oxidation rate total AUC (HF: 0.58 ± 0.1; LF: 0.39 ± 0.2 g/min*4 h. p = 0.045), plasma glucose, and insulin concentration of the high-fat trial were significantly higher than those of the low-fat trial. Conclusions This study revealed that meals with distinct nutritional contents after a 90-min exercise increased the postprandial fat oxidation rate but did not influence the postprandial lipemia after a high-fat meal the next day.


2020 ◽  
Author(s):  
Stephanie M Wilson ◽  
Adam P. Maes ◽  
Jesse T. Peach ◽  
Brian Bothner ◽  
Carl J. Yeoman ◽  
...  

Abstract Background Postprandial lipemia stimulates proinflammatory mediators and is a risk factor for cardiovascular disease. Chronic disease and diet are known to influence the gut microbial community in ways that alter the availability of bioactive compounds capable of influencing the host. The purpose of this study was to identify gut microbiome taxa and inflammatory cytokines differentiating individuals with lower and higher postprandial triglyceridemia. Methods A high-fat meal (43.1% fat) was given to 40 healthy, overweight and obese adults to assess the serum triglyceride response in the immediate four-hour postprandial period. Participants were categorized into two groups (high and low) based on serum triglyceride responses. We measured blood lipids, inflammatory cytokines, fat mass, visceral adiposity and used 16S rRNA target amplicon sequencing to identify microbial taxa in human fecal samples distinguishing the two groups. The gut microbiome was assessed using unconstrained ordination, followed by a high-dimensional class comparison to determine discriminative microbial features of the postprandial triglyceride response (ppTG). ResultsHigh ppTG responders had higher body mass index, visceral adiposity, and fasting serum cholesterol levels than low responders and had a decreased postprandial IL-17 response to the high-fat meal. The overall gut microbiome did not cluster by ppTG response but were found to have four discriminative bacterial features between high and low ppTG. Lower relative abundance of Clostridium Cluster XIVa and higher relative abundance of Pasteurellaceae, Alistipes , and Prevotella was observed in low ppTG relative to high ppTG. Conclusions Our findings suggest that specific gut microbial taxa involved in short-chain fatty acid production can discriminate the postprandial triglyceride response in overweight and obese adults. These findings may have implications in how we develop microbial therapies and choose to monitor and treat individuals with hypertriglyceridemia or who may have an increased risk of chronic disease.


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