Trans monounsaturated fatty acids in nutrition and their impact on serum lipoprotein levels in man

III. HYDROGENATION OF OILS i 1

Effect of monounsaturated fatty acids versus complex carbohydrates on high-density lipoproteins in healthy men and women

The effects of two strictly controlled diets, one rich in complex carbohydrates, the other rich in olive oil, on serum lipids were studied in healthy men and women. Serum cholesterol levels fell on average by 0?44 mmol/l in the carbohydrate group and 0?46 mmol/l in the olive oil group. HDL cholesterol levels fell by 0?19 mmol/l in the carbohydrate group and rose by 0?03 mmol/l in the olive oil group. Serum triglycerides rose by 0?19 mmol/l in the carbohydrate group and fell by 0?06 mmol/l in the olive oil group. The changes in both HDL and triglycerides were larger in men than in women. These results clearly show that the olive-oil-rich diet, unlike the complex-carbohydrate-rich diet, caused a specific fall in non-HDL cholesterol while leaving serum triglyceride levels virtually unchanged

Effect of Dietary cis and trans fatty acids on serum lipoprotein[a] levels in humans

Serum lipoprotein[a] (Lp[a]) is a strong risk factor for coronary heart disease. We therefore examined the effect of dietary fatty acid composition on serum Lp[a] levels in three strictly controlled experiments with healthy normocholesterolemic men and women. In Expt. I, 58 subjects consumed a control diet high in saturated fatty acids for 17 days. For the next 36 days, 6.5% of total energy intake from saturated fatty acids was replaced by monounsaturates plus polyunsaturates (monounsaturated fatty acid diet; n = 29) or by polyunsaturates alone (polyunsaturated fatty acid diet; n = 29). Both diets caused a slight, nonsignificant, increase in median Lp[a] levels, with no difference between diets. In Expt. II, 10% of energy from the cholesterol-raising saturated fatty acids (lauric, myristic, and palmitic acid) was replaced by oleic acid or by trans-monounsaturated fatty acids. Each of the 59 participants received each diet for 3 weeks in random order. The median level of Lp[a] was 26 mg/l on the saturated fatty acid diet; it increased to 32 mg/l (P less than 0.020) on the oleic acid diet and to 45 mg/l (P less than 0.001) on the trans-fatty acid diet. The difference in Lp[a] between the trans-fatty acid and the oleic acid diets was also highly significant (P less than 0.001). Expt. III involved 56 subjects; all received 8% of energy from stearic acid, from linoleic acid, or from trans-monounsaturates, for 3 weeks each. All other nutrients were equal.

DGAT1 overexpression in muscle by in vivo DNA electroporation increases intramyocellular lipid content.

In adipose tissue, the microsomal enzyme 1,2-acyl CoA:diacylglyceroltransferase-1 (DGAT1) plays an important role in triglyceride storage. Because DGAT1 is expressed in skeletal muscle as well, we aimed to directly test the effect of DGAT1 on muscular triglyceride storage by overexpressing DGAT1 using in vivo DNA electroporation. A pcDNA3.1-DGAT1 construct in saline was injected in the left tibialis anterior muscle of rats, followed by the application of eight transcutaneous pulses, using the contralateral leg as sham-electroporated control. Electroporation of the DGAT1 construct led to significant overexpression of the DGAT1 protein. The functionality of DGAT1 overexpression is underscored by the pronounced diet-responsive increase in intramyocellular lipid (IMCL) storage. In chow-fed rats, DGAT1-positive myocytes showed significantly higher IMCL content compared with the control leg, which was almost devoid of IMCL (1.99 +/- 1.13% vs. 0.017 +/- 0.014% of total area fraction; P <0.05). High-fat feeding increased IMCL levels in both DGAT1-positive and control myocytes, resulting in very high IMCL levels in DGAT1-overexpressing myocytes (4.96 +/- 1.47% vs. 0.80 +/- 0.14%; P <0.05). Our findings indicate that DGAT1 contributes to the storage of IMCL and that in vivo DNA electroporation is a promising tool to examine the functional consequences of altered gene expression in mature skeletal muscle

The Psychological Science Accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

The Psychological Science Accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990�2015: a systematic analysis for the Global Burden of Disease Study 2015

Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors�the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25 over the same period. All risks jointly evaluated in 2015 accounted for 57·8 (95 CI 56·6�58·8) of global deaths and 41·2 (39·8�42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million 192·7 million to 231·1 million global DALYs), smoking (148·6 million 134·2 million to 163·1 million), high fasting plasma glucose (143·1 million 125·1 million to 163·5 million), high BMI (120·1 million 83·8 million to 158·4 million), childhood undernutrition (113·3 million 103·9 million to 123·4 million), ambient particulate matter (103·1 million 90·8 million to 115·1 million), high total cholesterol (88·7 million 74·6 million to 105·7 million), household air pollution (85·6 million 66·7 million to 106·1 million), alcohol use (85·0 million 77·2 million to 93·0 million), and diets high in sodium (83·0 million 49·3 million to 127·5 million). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation. © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY licens

Metabolic and health effects of isomeric fatty acids

PURPOSE OF REVIEW: Isomeric fatty acids have the same number of carbon and hydrogen atoms, but may have distinct metabolic and health effects. Two well-known examples of isomeric fatty acids are cis and trans monounsaturated fatty acids, and conjugated isomers of linoleic acid (CLA). The purpose of this review is to summarize recent findings from human studies on the metabolic and health effects of these two classes of isomeric fatty acids. RECENT FINDINGS: Apart from an unfavorable effect on serum lipoproteins, trans monounsaturated fatty acids from hydrogenated oils may increase plasma markers for a low-grade inflammatory state. From epidemiological studies, however, it is not possible to conclude if effects of ruminant and industrial trans fatty acids on cardiovascular risk are different. In contrast to in-vitro and animal studies, there are no indications that in humans the two most common CLA isomers (cis9,trans11-CLA and trans10,cis12-CLA) affect body composition differently. Longer-term supplementation, however, may slightly decrease body fat mass without apparent effects on plasma markers for glucose and lipid metabolism. Other studies have even reported adverse effects of CLA supplementation on insulin resistance and lipid peroxidation. SUMMARY: Evidence is increasing that trans monounsaturated fatty acids from hydrogenated oils increase plasma markers of low-grade chronic inflammation. From epidemiological studies, however, it is not clear if effects of ruminant and industrial trans fatty acids on cardiovascular risk are different. Effects of CLA on body composition remain controversial and more research is needed before the widely available CLA supplements should be advocated as an adjunct to control body weight