The microbial gbu gene cluster links cardiovascular disease risk associated with red meat consumption to microbiota l-carnitine catabolism

Author(s):  
Jennifer A. Buffa ◽  
Kymberleigh A. Romano ◽  
Matthew F. Copeland ◽  
David B. Cody ◽  
Weifei Zhu ◽  
...  
2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Yi Zhao ◽  
Gitanjali Singh ◽  
Elena Naumova

Abstract Objectives Suboptimal diet is associated with substantial cardiovascular disease (CVD) burden globally. Recognizing that populations are exposed to a complex mix of dietary factors, the aim of this study was to examine the potentially complex non-linear non-additive relationships between multiple components of diet and 10-year CVD risk using a machine learning method. Methods We implemented Bayesian Kernel Machine Regression (BKMR) using an R package bkmr among a group of healthy, middle-aged participants from the Coronary Artery Risk Development in Young Adults (CARDIA) cohort. Exposures were defined as common components of diet that have probable or convincing evidence of association with CVD risk. Outcome was an individual's predicted 10-year CVD risk calculated using the revised Pooled Cohort Equations for Estimating Atherosclerotic CVD Risk by the American College of Cardiology/American Heart Association. Ten-year CVD risk was modeled as a flexible kernel function of the exposure variables, adjusted for potential confounding factors. Results The mean age and predicted 10-year CVD risk of the 2193 participants were 45.75 (SD: 3.07) years old and 0.02 (SD: 0.02). We found a significant positive joint relationship between the multiple components of diet with CVD risk when all dietary factors were all above their 25th percentile. We also identified positive associations between whole grain, refined grain, red meat with CVD risk, and negative associations for vegetable and fruit. Furthermore, red meat, refined grain, whole grain and added sugar demonstrated potential non-linear relationships with the CVD risk. Our result also suggested potential interaction between refined grain with other dietary factors. Conclusions Machine learning is a promising tool to estimate the joint associations between multiple diet components and CVD risk. It is able to identify the joint, univariate dose-response relationship between diet and CVD risk as well as component-wise interactions. Funding Sources This work was supported by a funding from National Heart, Lung, and Blood Institute (NHLBI). Supporting Tables, Images and/or Graphs


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Erik Gertz ◽  
Yu Wang ◽  
Lauren O'Connor ◽  
Wayne Campbell ◽  
Brian Bennett

Abstract Objectives To determine the effect of adopting a Mediterranean-style eating pattern with different quantities of lean unprocessed red meat on the plasma concentration of Trimethylamine N-Oxide (TMAO), an emerging potential cardiovascular disease risk factor, in middle-aged adults classified as overweight or obese. Methods Thirty-nine adults (12 males and 27 females; age 46 ±10 years, BMI 30.6 ± 3.6 kg/m2; mean ± SD) participated in a randomized, crossover and controlled feeding trial. Each participant consumed a Mediterranean-style eating pattern for two 5-week intervention periods separated by ∼4 weeks of consuming their unrestricted, self-selected diet (washout). The Mediterranean-style eating pattern contained either a commonly recommended amount of red meat (∼200 g/wk, Med-200) or the average amount consumed in the U.S. (∼500 g/wk, Med-500). Plasma samples were collected before (baseline) and at the end (post) of the two intervention periods and TMAO was measured by stable isotope dilution chromatography tandem mass spectrometry. Geometric means were compared with mixed model tests in SAS. Results Baseline TMAO concentrations were not different between interventions (Med-200 = 4.4 ± 2.7 and Med-500 = 5.2 ± 4.5 μM, P = 0.476). These concentrations are similar to values reported in healthy adults. Post-intervention, TMAO was lower in Med-200 vs. Med-500 (3.1 ± 1.2 and 5.0 ± 2.6 μM, P = 0.001). Conclusions The 2015–2020 Dietary Guidelines for Americans encourages adopting a Mediterranean-style eating pattern to promote cardiovascular health, including reduced blood pressure and improved lipid-lipoprotein profile. The current results suggest that adopting a Mediterranean-study eating pattern may also reduce the cardiovascular disease risk factor TMAO, but only when it contains a lower, recommended, amount of lean unprocessed red meat. The influences of animal- and plant-based foods consumed with a Mediterranean-style and other healthy eating patterns on emerging cardiovascular disease risk factors remain to be determined. This trial was registered at clinicaltrials.gov as NCT02573129. Funding Sources Supported by theBeef Checkoff, the Pork Checkoff, the NIH pre-doctoral training grant 5T32DK076540-08, the NIH-supported Indiana Clinical and Translational Sciences Institute and the USDA-ARS-Western Human Nutrition Research Center.


Proceedings ◽  
2019 ◽  
Vol 37 (1) ◽  
pp. 21
Author(s):  
Amber M. Milan ◽  
Sarah M. Mitchell ◽  
Utpal Prodhan ◽  
Cintia B. Dias ◽  
Manohar Garg ◽  
...  

Red meat restriction in the diet is increasingly recommended, with vegetarian-based diets being promoted. [...]


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