Literature DB >> 11223445

Diurnal triglyceride profiles: a novel approach to study triglyceride changes.

M Castro Cabezas1, C J Halkes, S Meijssen, A J van Oostrom, D W Erkelens.   

Abstract

Fasting plasma triglycerides (TG) show a high intra-individual variability, and therefore, repeated measurements and alternative methodology are necessary when studying TG metabolism. In search for novel approaches to study TG changes, we evaluated the feasibility of determining ambulatory capillary TG. In addition, well-known characteristics (e.g. gender differences) of TG metabolism in healthy subjects were determined. In 18 subjects with a wide range of fasting plasma TG, the results of standardised oral fat loading tests (50 g m(-2)) were compared to their diurnal capillary TG profiles, measured on 3 different days, six times each day in an out-patient clinic setting. The diurnal TG-profile was calculated as area under the capillary TG curve (TGc-AUC) and as incremental area (dTGc-AUC). Clearance of plasma TG after the acute oral fat load correlated well with the diurnal TGc-AUC (r=0.77; P<0.01). In addition, hypertriglyceridemic subjects (plasma TG >2.0 mmol l(-1)) had a higher diurnal triglyceridemia (49.83+/-15.37 h mmol l(-1)) as well as a higher response of plasma TG to the oral fat load (42.10+/-15.37 h mmol l(-1)), than the subjects with normal fasting plasma TG (29.83+/-11.75 h mmol l(-1) (P<0.05) and 20.75+/-5.89 h mmol l(-1) (P<0.01), respectively). In an observational study, 106 volunteers (54 females and 52 males) measured capillary triglycerides. Food intake was recorded and fasting blood was drawn once at the start of the study. Body composition was assessed by anthropometric parameters and body-impedance. Repeated measurements of diurnal triglyceridemia tended to be less variable than fasting capillary triglycerides (mean coefficients of variation 15.1% (range: 0.60-45.9%) and 24.9% (range: 1.44-72.7%), respectively; P=0.09) for the whole group and in males (18.6% (0.60-45.9%) and 24.0% (1.4-58.2%), respectively; P=0.07). The mean diurnal TGc-AUC and dTGc-AUC were lower in females (16.50+/-4.85 and 1.82+/-3.46 h mmol l(-1), respectively) than in males (23.44+/-6.50 and 6.93+/-4.67 h mmol l(-1); P<0.001 for each). The total daily energy intake was lower in females (8911+/-1905 kJ) than in males (11042+/-2604 kJ, P<0.001) because of a lower intake of all nutrients. In females, estrogen status determined significantly the capillary TG profiles. Stepwise multiple regression analysis for females and males, with TGc-AUC as the dependent variable, showed that the best predictors were fasting capillary TG, gender, systolic blood pressure and mean daily energy intake, explaining 72% of the variation. Incremental triglyceridemia was best described by gender, mean daily protein intake and systolic blood pressure, explaining 42% of the variation. Diurnal capillary TG profiles may be used to estimate the total daily load of potential atherogenic particles to which individuals are subjected during the day without the need for metabolic ward studies.

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Year:  2001        PMID: 11223445     DOI: 10.1016/s0021-9150(00)00554-2

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  14 in total

1.  Changes in serum triglycerides and high-density lipoprotein concentration and composition after a low-fat mixed meal. Effects of gender and insulin resistance.

Authors:  Adriana Branchi; Adriana Torri; Cristina Berra; Emanuela Colombo; Domenico Sommariva
Journal:  Intern Emerg Med       Date:  2006       Impact factor: 3.397

Review 2.  Getting the label in: practical research strategies for tracing dietary fat.

Authors:  J E Lambert; E J Parks
Journal:  Int J Obes Suppl       Date:  2012-12-11

Review 3.  Lipaemia, inflammation and atherosclerosis: novel opportunities in the understanding and treatment of atherosclerosis.

Authors:  Antonie J H H M van Oostrom; Jeroen van Wijk; Manuel Castro Cabezas
Journal:  Drugs       Date:  2004       Impact factor: 9.546

4.  Coronary risk factors and metabolic disorders in first-degree relatives of normocholesterolaemic patients with premature atherosclerosis.

Authors:  C A Geluk; C J M Halkes; P P Th De Jaegere; H W M Plokker; M Castro Cabezas
Journal:  Neth Heart J       Date:  2006-04       Impact factor: 2.380

5.  Postprandial lipoproteins and cardiovascular disease risk in diabetes mellitus.

Authors:  Byambaa Enkhmaa; Zeynep Ozturk; Erdembileg Anuurad; Lars Berglund
Journal:  Curr Diab Rep       Date:  2010-02       Impact factor: 4.810

6.  Changes in serum lipids and blood glucose in non diabetic patients with metabolic syndrome after mixed meals of different composition.

Authors:  Adriana Branchi; Adriana Torri; Cristina Berra; Emanuela Colombo; Domenico Sommariva
Journal:  J Nutr Metab       Date:  2012-02-01

Review 7.  An update on accumulating exercise and postprandial lipaemia: translating theory into practice.

Authors:  Masashi Miyashita; Stephen F Burns; David J Stensel
Journal:  J Prev Med Public Health       Date:  2013-01-30

8.  Understanding postprandial inflammation and its relationship to lifestyle behaviour and metabolic diseases.

Authors:  Boudewijn Klop; Spencer D Proctor; John C Mamo; Kathleen M Botham; Manuel Castro Cabezas
Journal:  Int J Vasc Med       Date:  2011-09-25

9.  AT1 Receptor Gene Polymorphisms in relation to Postprandial Lipemia.

Authors:  B Klop; T M van den Berg; A P Rietveld; J Chaves; J T Real; J F Ascaso; R Carmena; J W F Elte; Manuel Castro Cabezas
Journal:  Int J Vasc Med       Date:  2011-09-19

Review 10.  Dyslipidemia in obesity: mechanisms and potential targets.

Authors:  Boudewijn Klop; Jan Willem F Elte; Manuel Castro Cabezas
Journal:  Nutrients       Date:  2013-04-12       Impact factor: 5.717

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