Fasting triglyceride is a major determinant of postprandial triglyceride response in postmenopausal women

Characteristics of participants who take up screening tests for diabetes and lipid disorders: a systematic review

OBJECTIVES

To perform a systematic review on the characteristics of participants who attended screening programmes with blood glucose tests, lipid profiles or a combination of them, respectively.

DESIGN

Systematic review following the Meta-analysis Of Observational Studies in Epidemiology checklist.

DATA SOURCES

PubMed and Medline databases for English literature from 1 January 2000 to 1 April 2020.

ELIGIBILITY CRITERIA

Original observational studies that reported baseline characteristics of apparently healthy adult participants screening for diabetes and lipid disorders were included in this review.

DATA EXTRACTION

We examined their sociodemographic characteristics, including age, gender, body mass index (BMI) and lifestyle habits. The quality of the included articles was evaluated by the Appraisal of Cross-sectional Studies.

RESULTS

A total of 33 articles involving 38 studies in 22 countries were included and analysed in this systematic review. Overall, there was a higher participation rate among subjects who were female in all screening modalities (female vs male: 46.6%-63.9% vs 36.1%-53.4% for diabetes screening; 48.8%-58.4% vs 41.6%-51.2% for lipid screening; and 36.4%-76.8% vs 23.2%-63.6% for screening offering both). Compared with the BMI standard from the WHO, participants in lipid screening had lower BMI (male: 23.8 kg/m² vs 24.2 kg/m², p<0.01; female: 22.3 kg/m² vs 23.6 kg/m², p<0.01). Furthermore, it is less likely for individuals of lower socioeconomic status to participate in diabetes or lipid screening in developed areas.

CONCLUSIONS

We identified that individuals from lower socioeconomic groups were less likely to take up programmes for diabetes and/or lipid screening in developed areas. These populations are also likely to be at higher risk of non-communicable diseases. Future studies should investigate the barriers and facilitators of screening among non-participants, where targeted interventions to enhance their screening uptake are warranted.

Body composition, but not insulin resistance, influences postprandial lipemia in patients with Turner's syndrome

OBJECTIVE

The aim of the present study was to examine the influence of body composition and insulin resistance on the magnitude of postprandial lipemia in patients with Turner's syndrome receiving oral versus transdermal estrogen replacement.

METHODS

Twenty-five patients with Turner's syndrome receiving oral or transdermal estrogen replacement were evaluated for body mass index, waist-to-hip and waist-to-height ratios, fasting glycemia, insulin, body composition (dual-energy X-ray absorptiometry), and postprandial lipid metabolism. For statistical analysis, we used parametric tests to compare numeric variables between the two subgroups.

RESULTS

We observed no difference in postprandial triglyceride levels between patients receiving oral versus transdermal hormone replacement therapy. The postprandial triglycerides increment correlated positively with the percentage of total fat mass (p=0.02) and android fat mass (p=0.02) in the transdermal group. In the oral estrogen group, a positive correlation was observed between the increment in postprandial triglycerides and waist-to-hip (p=0.15) and waist-to-height (p=0.009) ratios. No association was observed between the estrogen replacement route and insulin resistance evaluated by the homeostatic model assessment-insulin resistance (HOMA-IR) index (p=0.19 and p=0.65 for the oral and transdermal groups, respectively).

CONCLUSION

We concluded that body composition and anthropometric characteristics possibly affect the extent of postprandial lipemia independently from the route of estrogen replacement.

Factors associated with postprandial lipemia and apolipoprotein A-V levels in individuals with familial combined hyperlipidemia

BACKGROUND

Alterations in postprandial metabolism have been described in familial combined hyperlipidemia (FCH); however, their underlying mechanisms are not well characterized. We aimed to identify factors related to the magnitude of postprandial lipemia and apolipoprotein (apo) A-V levels in subjects with FCH.

METHODS

FCH cases (n = 99) were studied using a standardized meal test. Abdominal obesity was assessed using the waist to hip ratio (WHR). A linear regression model was performed to investigate the variables associated with the triglycerides incremental area under the curve (iAUC). Independent associations between metabolic variables and apo A-V iAUC were also investigated in a randomly selected subgroup (n = 44). The study sample was classified according to the presence of fasting hypertriglyceridemia (≥150 mg/dL) and abdominal obesity (WHR ≥0.92 in men and ≥0.85 in women) to explore differences in parameters.

RESULTS

The fasting apo B-48 levels (r = 0.404), and the WHR (r = 0.359) were independent factors contributing to the triglycerides iAUC (r2 = 0.29, P < 0.001). The triglycerides iAUC was independently associated with the apo A-V iAUC (r2 = 0.54, P < 0.01). Patients with both hypertriglyceridemia and abdominal obesity showed the most robust triglycerides and apo A-V postprandial responses.

CONCLUSIONS

In patients with FCH the fasting apo B-48 level is the main factor associated with postprandial lipemia. Abdominal obesity also contributes to the magnitude of the postprandial response.The triglycerides postprandial increment is the principal factor associated with the apo A-V postprandial response.

The ddY mouse: a model of postprandial hypertriglyceridemia in response to dietary fat

Postprandial hyperlipidemia (lipemia) is a risk factor for atherosclerosis. However, mouse models of postprandial hyperlipidemia have not been reported. Here, we report that ddY mice display marked postprandial hypertriglyceridemia in response to dietary fat. In ddY mice, the fasting serum total triacylglyceride (TG) concentration was 134 mg/dl, which increased to 571 mg/dl after an intragastric safflower oil load (0.4 ml/mouse). In C57BL/6J mice, these concentrations were 57 and 106 mg/dl, respectively. By lipoprotein analysis, ddY mice showed increases in chylomicron- and VLDL-sized TG fractions (remnants and VLDL) after fat load. In C57BL/6J mice, post-heparin plasma LPL activity after fat load was increased 4.8-fold relative to fasting. However, in ddY mice, the increase of LPL activity after fat load was very small (1.2-fold) and not significant. High fat feeding for 10 weeks led to obesity in ddY mice. A difference in LPL amino acid composition between C57BL/6J and ddY mice was detected but was deemed unlikely to cause hypertriglyceridemia because hypertriglyceridemia was not evident in other strains harboring the ddY-type LPL sequence. These findings indicate that postprandial hypertriglyceridemia in ddY mice is induced by decreased LPL activity after fat load and is associated with obesity induced by a high-fat diet.

Difference between fasting and nonfasting triglyceridemia; the influence of waist circumference

AIM

Postprandial hypertriglyceridemia is recognized as an independent risk factor for cardiovascular disease. The aim of this study was to identify differences between fasting and postprandial TG levels, focusing on the influence of waist circumference.

METHODS

Subjects included 1,505 men and 798 women aged 3865 years who were not taking medications for diabetes or dyslipidemia. Fasting TG levels were measured after an overnight fast, and postprandial TG levels were measured 2 hours after a standardized rice-based lunch (total 740 kcal, 20 g fat, 30 g protein, and 110 g carbohydrates) in the afternoon on the same day.

RESULTS

Fasting and postprandial TG levels were highly correlated in both men (r=0.86, p<0.001) and women (r=0.84, p<0.001). Waist circumference was positively correlated with fasting TG (r=0.38 in men and r=0.36 in women) and postprandial TG (r=0.42 in men and r=0.45 in women), respectively. On multiple regression analyses, the association of waist circumference with postprandial TG was still significant (standardized beta=0.10 in men and standardized beta=0.15 in women, p<0.001) after the inclusion of HbA1c, age, high-density-lipoprotein (HDL)-cholesterol, alcohol consumption, and fasting TG in the regression model.

CONCLUSION

Postprandial TG has a better relation with waist circumference than fasting TG.