scholarly journals The Marine Microalga, Tisochrysis lutea, Protects against Metabolic Disorders Associated with Metabolic Syndrome and Obesity

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 430
Author(s):  
Claire Mayer ◽  
Léo Richard ◽  
Martine Côme ◽  
Lionel Ulmann ◽  
Hassan Nazih ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Metabolic Disorders ◽  
Disease Risk ◽  
Plasma Cholesterol ◽  
Cardiovascular Disease Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Standard Diet ◽  
Metabolic Disturbances ◽  
Tisochrysis Lutea

Long-chain polyunsaturated fatty acids n-3 series and especially docosahexaenoic acid are known to exert preventive effects on metabolic disturbances associated with obesity and decrease cardiovascular disease risk. n-3 LC-PUFAs are mainly consumed in the form of fish oil, while other sources, such as certain microalgae, may contain a high content of these fatty acids. The aim of this study was to evaluate the effects of Tisochrysis lutea (Tiso), a microalga rich in DHA, on metabolic disorders associated with obesity. Three male Wistar rat groups were submitted for eight weeks to a standard diet or high-fat and high fructose diet (HF), supplemented or not with 12% of T. lutea (HF-Tiso). The supplementation did not affect plasma alanine aminotransferase (ALAT). Bodyweight, glycemia and insulinemia decreased in HF-Tiso rats (ANOVA, p < 0.001), while total plasma cholesterol, high-density lipoprotein-cholesterol (HDL-C) increased (ANOVA, p < 0.001) without change of low-density lipoprotein-cholesterol (LDL-C) and triacylglycerol (TAG) levels. Tiso supplementation decreased fat mass and leptinemia as well as liver TAG, cholesterol and plasma tumor necrosis factor-alpha levels (ANOVA, p < 0.001) while it did not affect interleukin 6 (IL-6), IL-4 and lipopolysaccharides levels. HF-Tiso rats showed an increase of IL-10 level in abdominal adipose tissue (ANOVA, p < 0.001). In conclusion, these results indicated that DHA-rich T. lutea might be beneficial for the prevention of obesity and improvement of lipid and glucose metabolism.

Effects of diets rich in ghee or olive oil on cardiometabolic risk factors in healthy adults: A 2-period, crossover, randomized trial

2021 ◽  
pp. 1-30
Author(s):  
Susan Mohammadi Hosseinabadi ◽  
Javad Nasrollahzadeh
Keyword(s):  
Olive Oil ◽  
Dietary Intervention ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Density Lipoprotein ◽  
Dietary Fats ◽  
Lipoprotein Cholesterol ◽  
Apo B ◽  
Blood Samples ◽  
Significant Difference

Abstract This study aimed to evaluate the cardiovascular health-related effects of consuming ghee in the usual diet. Thirty healthy men and women were studied in a free-living outpatient regimen. The participants were instructed for the isocaloric inclusion of ghee or olive oil in their diets for 4 weeks using a randomized crossover design. At the end of run-in (baseline), 2-week wash-out, and interventions, fasting blood samples were drawn. In addition, 2-h postprandial blood samples were collected after ingestion of a meal containing olive oil or ghee at week 4 of each dietary intervention. Body weight was not different between the two interventions. Compared to the olive oil, the diet with ghee increased fasting plasma apolipoprotein-B (apo B) (0.09, 95% CI 0.02 to 0.17 g/L, p= 0.018) and non-high-density lipoprotein cholesterol (non-HDL-C) (0.53, 95% CI 0.01 to 1.05 mmol/L, p= 0.046) and low-density lipoprotein cholesterol did not differ significantly between diet groups (0.29, 95% CI –0.05 to 0.63 mmol/L, p= 0.092), but had no significant effect on total cholesterol/HDL-C ratio (0.75, 95% CI −0.24 to 1.74 mmol/L, p= 0.118). No significant difference was observed in fasting as well as 2-h postprandial plasma triacylglycerol, glucose, insulin, and plasminogen activator inhibitor-1 concentrations. This study showed that ghee which is predominantly saturated fats had an increasing effect on plasma apo B and non-HDL-C compared to olive oil, adding further evidence to the existing recommendations to replace dietary fats high in SFA with dietary fats high in unsaturated fats to reduce cardiovascular disease risk.

scholarly journals Time-of-day and Meal Size Effects on Clinical Lipid Markers

2020 ◽  
Author(s):  
Leilah K Grant ◽  
Charles A Czeisler ◽  
Steven W Lockley ◽  
Shadab A Rahman
Keyword(s):  
Cardiovascular Disease ◽  
Total Cholesterol ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Density Lipoprotein ◽  
Time Of Day ◽  
Lipoprotein Cholesterol ◽  
Shift Workers ◽  
Postprandial Lipid Metabolism ◽  
Lipid Panel

Abstract Context Dyslipidemia and cardiovascular disease are common in shift workers and eating at night may contribute to this pathophysiology. Objective To examine the effects of eating at different times of day on lipid profiles. Design Two 24-hour baseline days with 8 hours of sleep, 3 meals (breakfast, lunch, dinner) and a snack, followed by a 40-hour constant routine (CR) with hourly isocaloric meals. Setting Intensive Physiological Monitoring Unit, Brigham and Women’s Hospital. Participants Twenty-one healthy adults [23.4 ± 2.7 years, 5F] Intervention Forty-hour CR. Main Outcome Measures A standard clinical lipid panel, consisting of total cholesterol, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), was assayed in blood samples collected 4-hourly across ~4 days. Results When participants ate at night, levels of TG were similar to eating during the day, however, these levels at night were reached with consuming approximately half the calories. Additionally, 24-hour levels of TG were 10% higher when meals were consumed hourly across 24 hours compared to consuming a typical 3-meal schedule while awake during the day and sleeping at night. The endogenous circadian rhythms of TG, which peaked at night, were shifted earlier by ~10 hours under baseline conditions, whereas the rhythms in total cholesterol, HDL-C, and LDL-C remained unchanged and peaked in the afternoon. Conclusions The time-of-day dependency on postprandial lipid metabolism, which leads to hypersensitivity in TG responses when eating at night, may underlie the dyslipidemia and elevated cardiovascular disease risk observed in shift workers.

scholarly journals Short-Term Effects of Healthy Eating Pattern Cycling on Cardiovascular Disease Risk Factors: Pooled Results from Two Randomized Controlled Trials

Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1725 ◽  
Author(s):  
Lauren O'Connor ◽  
Jia Li ◽  
R. Drew Sayer ◽  
Jane Hennessy ◽  
Wayne Campbell
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Healthy Eating ◽  
Cardiovascular Health ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Cardiovascular Disease Risk Factors ◽  
Eating Pattern

Adherence to healthy eating patterns (HEPs) is often short-lived and can lead to repetitive attempts of adopting—but not maintaining—HEPs. We assessed effects of adopting, abandoning, and readopting HEPs (HEP cycling) on cardiovascular disease risk factors (CVD-RF). We hypothesized that HEP cycling would improve, worsen, and again improve CVD-RF. Data were retrospectively pooled for secondary analyses from two randomized, crossover, controlled feeding trials (n = 60, 52 ± 2 years, 30.6 ± 0.6 kg/m2) which included two 5–6 week HEP interventions (Dietary Approaches to Stop Hypertension-style or Mediterranean-style) separated by a four-week unrestricted eating period. Ambulatory and fasting blood pressures (BP), fasting serum lipids, lipoproteins, glucose, and insulin were measured before and during the last week of HEP interventions. Fasting systolic BP and total cholesterol decreased (−6 ± 1 mm Hg and −19 ± 3 mg/dL, respectively, p < 0.05), returned to baseline, then decreased again (−5 ± 1 mm Hg and −13 ± 3 mg/dL, respectively, p < 0.05) when adopting, abandoning, and readopting a HEP; magnitude of changes did not differ. Ambulatory and fasting diastolic BP and high-density lipoprotein cholesterol concentrations followed similar patterns; glucose and insulin remained unchanged. Low-density lipoprotein cholesterol concentrations decreased with initial adoption but not readoption (−13 ± 3 and −6 ± 3, respectively, interaction p = 0.020). Healthcare professionals should encourage individuals to consistently consume a HEP for cardiovascular health but also encourage them to try again if a first attempt is unsuccessful or short-lived.

scholarly journals rs2569190A>G in CD14 is Independently Associated with Hypercholesterolemia: A Brief Report

2019 ◽  
Vol 6 (4) ◽  
pp. 37 ◽  
Author(s):  
Ali Salami ◽  
Christy Costanian ◽  
Said El Shamieh
Keyword(s):  
Disease Risk ◽  
Middle Eastern ◽  
Cardiovascular Disease Risk ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Multiethnic Population ◽  
Cluster Of Differentiation

Many studies have assessed the implication of cluster of differentiation 14 (CD14) molecules and its single nucleotide polymorphism rs2569190A>G with different complex diseases, such as diabetes and cardiovascular diseases (CVDs). In this study, we investigated the association of rs2569190A>G in CD14 with cardiovascular disease risk factors (hypercholesterolemia and hypertension) in 460 individuals from the general Lebanese population (Middle Eastern multiethnic population). Using a multiple logistic regression model adjusted for six covariates (under additive and recessive assumptions), we found that the G allele of rs2569190 in CD14 was associated with increased levels of total cholesterol (OR = 3.10, p = 0.009), low-density lipoprotein cholesterol (OR = 3.87, p = 0.003), and decreased levels of high-density lipoprotein cholesterol (OR = 0.38, p = 0.001). In contrast, no significant relationship was found with hypertension. Thus, we concluded that rs2569190G in CD14 is associated with a higher risk of developing hypercholesterolemia.

scholarly journals Association of Fitness and Fatness with Clustered Cardiovascular Disease Risk Factors in Nigerian Adolescents

2020 ◽  
Vol 17 (16) ◽  
pp. 5861
Author(s):  
Danladi I. Musa ◽  
Abel L. Toriola ◽  
Daniel T. Goon ◽  
Sunday U. Jonathan
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Cvd Risk ◽  
Standardized Residuals

Purpose: This study examinedthe independent and joint association of fitness and fatness with clustered cardiovascular disease risk (CVDrs) in 11–18 year-old Nigerian adolescents. Methods: A hundred and ninety seven adolescents (100 girls and 97 boys) were evaluated forfitness, fatness and CVDrs. Fitness was evaluated with the progressive aerobic cardiovascular endurance run test while fatness was assessed using body mass index. A clustered CVDrs was computed from the standardized residuals of total cholesterol, high density lipoprotein cholesterol, Low density lipoprotein cholesterol, triglycerides, plasma glucose, systolic blood pressure, and diastolic blood pressure. Regression models controlling for waist circumference assessed the association of fitness and fatness with CVDrs. Results: Prevalence of clustered CVD risk was 7.1% (girls = 3.0%; boys = 4.1%). Based on risk factor abnormalities, 52.8% of participants had one or more CVD risk factor abnormalities with more boys (27.4%) affected. Low fitness was associated with clustered CVDrs in both girls (R2 = 9.8%, β = −0.287, p = 0.05) and boys (R2 = 17%, β = −0.406, p < 0.0005). Fatness was not associated with the CVDrs in both sexes. After controlling for all the variables in the model, only fitness (R2 = 10.4%) and abdominal fat (R2 = 19.5%) were associated with CVDrs respectively. Unfit girls were 3.2 (95% CI = 1.31–7.91, p = 0.011) times likely to develop CVD risk abnormality compared to their fit counterparts. The likelihood of unfit boys developing CVD risk abnormality was 3.9 (95% CI = 1.15–10.08, p = 0.005) times compared to their fit peers. Conclusions: Fitness but not fatness was a better predictor of CVDrs in Nigerian boys and girls. The result of this study suggests that any public health strategies aimed at preventing or reversing the increasing trends of CVD risk in adolescents should emphasize promotion of aerobic fitness.

Changes in Weight and Cardiovascular Disease Risk Factors in Monozygotic Twins: The Healthy Twin Study

2015 ◽  
Vol 18 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Yun-Mi Song ◽  
Kayoung Lee ◽  
Joohon Sung
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Environmental Correlations

We aimed to assess the non-genetic contribution to the associations between the change in weight and changes in cardiovascular disease (CVD) risk factors. This analysis included 194 Korean monozygotic (MZ) twin pairs (116 men, 272 women; mean age, 38.5 ± 6.8 years) who were first examined for weight and CVD risk factors (blood pressure (BP), glucose, total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL)) between December 2005 and December 2008, and returned for a repeat examination after 2.7 ± 0.9 years. The within-pair correlations were 0.21 for the change in weight and 0.05-0.42 for the changes in CVD risk factors. Bivariate analyses showed significant environmental correlations shared between the change in weight and the changes in CVD risk factors (p < .05), except for glucose, while there were no significant genetic effects shared between the phenotypes. After adjusting for baseline values of weight, smoking, and alcohol consumption, diastolic blood pressure (DBP), TG, TC, and LDL significantly increased by 1.6 mmHg, 0.09 mmol/L, 0.10 mmol/L, and 0.09 mmol/L, respectively, per 1 kg increase in within-pair differences in weight change. In Korean MZ twins, similarity between twins for changes in weight and CVD risk factors were small to moderate, and non-genetic factors were responsible for the associations between the change in weight and changes in DBP, TG, TC, and LDL.

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