Background And Aims: Asymmetrical dimethylarginine (ADMA) may contribute to hypertension and cardiovascular disease by decreasing NO formation. In diabetic patients, a high fat meal acutely increased plasma ADMA while impairing endothelial function. We hypothesized that chronic and acute increases in dietary fat intake augment ADMA also in lean and in obese subjects without diabetes.
Methods And Results: Seventeen lean and twelve obese volunteers were randomized to two weeks of isocaloric diets with approximately 20% or >40% calories from fat in a cross-over fashion. At the end of the high and low fat periods, volunteers received corresponding test meals. ADMA was measured by GC-MS/MS using a deuterated standard. Mean fasting plasma ADMA concentration was 0.52 (0.49-0.54; 95% CI) μmol/l in lean and 0.53 (0.50-0.55) μmol/l in obese subjects (p = 0.55). The two week high fat diet did not influence ADMA. Both test meals elicited a 6%increase in circulating ADMA in lean subjects. In obese subjects, plasma ADMA concentration did not change with the low fat meal, and decreased by approximately 4% with the high fat meal.
Conclusion: Our findings challenge the idea that obesity and dietary fat intake have a major effect on plasma ADMA, at least in subjects without overt cardiovascular and metabolic disease. This finding is important with regard to dietary recommendations for weight loss. Overestimation of the influence of dietary fat intake and obesity on circulating ADMA in previous reports was most likely due to methodological issues concerning ADMA measurements.
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http://dx.doi.org/10.1016/j.numecd.2011.01.002 | DOI Listing |
J Med Internet Res
January 2025
International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki, Japan.
Background: Few studies have explored the relationship between macronutrient intake and sleep outcomes using daily data from mobile apps.
Objective: This cross-sectional study aimed to examine the associations between macronutrients, dietary components, and sleep parameters, considering their interdependencies.
Methods: We analyzed data from 4825 users of the Pokémon Sleep and Asken smartphone apps, each used for at least 7 days to record objective sleep parameters and dietary components, respectively.
BMJ Nutr Prev Health
August 2024
Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA.
Due to the challenges of conducting randomised controlled trials (randomised trials) of dietary interventions, evidence in nutrition often comes from non-randomised (observational) studies of nutritional exposures-called nutritional epidemiology studies. When using systematic reviews of such studies to advise patients or populations on optimal dietary habits, users of the evidence (eg, healthcare professionals such as clinicians, health service and policy workers) should first evaluate the rigour (validity) and utility (applicability) of the systematic review. Issues in making this judgement include whether the review addressed a sensible question; included an exhaustive literature search; was scrupulous in the selection of studies and the collection of data; and presented results in a useful manner.
View Article and Find Full Text PDFBMJ Nutr Prev Health
December 2024
Medicine, Nephrology Division, Duke University Medical Center, Durham, North Carolina, USA.
Background: In the early 1940s, before antihypertensive drugs were available, the Rice Diet Programme (RDP) was developed to treat severe hypertension and, later, diabetes and obesity. Despite significant advancements in dietary management for these conditions since then, debates remain regarding the proper guidelines for sodium and macronutrients intakes. The patient care records of RDP offer a unique source of longitudinal examination of a very low sodium (<10 mmol/day), fat, cholesterol and protein diet on blood pressure (BP), other health markers and survival.
View Article and Find Full Text PDFBMJ Nutr Prev Health
August 2024
Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA.
This article continues from a prior commentary on evaluating the risk of bias in randomised controlled trials addressing nutritional interventions. Having provided a synopsis of the risk of bias issues, we now address how to understand trial results, including the interpretation of best estimates of effect and the corresponding precision (eg, 95% CIs), as well as the applicability of the evidence to patients based on their unique circumstances (eg, patients' values and preferences when trading off potential desirable and undesirable health outcomes and indicators (eg, cholesterol), and the potential burden and cost of an intervention). Authors can express the estimates of effect for health outcomes and indicators in relative terms (relative risks, relative risk reductions, OR or HRs)-measures that are generally consistent across populations-and absolute terms (risk differences)-measures that are more intuitive to clinicians and patients.
View Article and Find Full Text PDFBMJ Nutr Prev Health
August 2024
Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA.
The purpose of this article, part 1 of 2 on randomised controlled trials (RCTs), is to provide readers (eg, clinicians, patients, health service and policy decision-makers) of the nutrition literature structured guidance on interpreting RCTs. Evaluation of a given RCT involves several considerations, including the potential for risk of bias, the assessment of estimates of effect and their corresponding precision, and the applicability of the evidence to one's patient. Risk of bias refers to flaws in the design or conduct of a study that may lead to a deviation from measuring the underlying true effect of an intervention.
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