Literature DB >> 11547218

Analysis of the postprandial lipid metabolism: use of a 3-point test.

B Guerci1, J L Paul, S Hadjadj, V Durlach, B Vergès, N Attia, A Girard-Globa, P Drouin.   

Abstract

OBJECTIVES: The oral fat load tests used to study postprandial lipemia are complex and costly and time consuming. A simplified fat load test could be more convenient and more appropriate in routine clinical practice because of the number of lipid determinations required. RESEARCH DESIGN AND METHODS: We evaluated the capacity of a postprandial test model that reduced the number of blood samples taken in thirty three normal weight controls and 17 normotriglyceridemic obese patients (study 1), 10 normolipidemic type 2 diabetic patients and 7 healthy controls (study 2), and 10 hyperlipidemic type 2 diabetic patients studied before and after hypolipidemic therapy (study 3). Blood samples were taken before and up to 8 hours after giving the oral fat load containing retinol. Triglyceride (TG) and retinyl palmitate (RP) concentrations in the plasma, chylomicrons (CM) and non-chylomicron (nCM) fractions were measured. Postprandial lipid responses using conventional area under the curves (AUCc using 5 to 7 lipid determinations) were compared to a 3-point test that uses only three sample points to predict the area under the curve (AUCp: triglycerides at T0, triglycerides at average peak-time (T4), and triglycerides at T8).
RESULTS: The AUCc and AUCp for triglycerides and retinyl palmitate were highly correlated in each of the groups and whatever the lipid subfraction (r=0.664 - 0.995, p<0.0001). When incremental AUC (iAUC) were used, the coefficients of correlation for triglycerides remained highly significant between iAUCc and iAUCp (r=0.718 - 0.979, p<0.01 - 0.0001). The same trend of differences was found between cases and controls when AUCp was used instead of AUCc. The means of differences between AUCc and AUCp for triglyceride values were small (0.34 - 0.74 mmol/L.h), and the confidence intervals were acceptable considering the range of the AUCs values (5.60 to 79.8 mmol/L.h for plasma triglycerides).
CONCLUSIONS: We found that data obtained with a simplified model of AUC using only 3 points to analyse postprandial lipemia are well correlated with those obtained by conventional AUC, and that the AUCp allows to the same conclusions as AUCc when healthy subjects were compared to patients with altered postprandial metabolism. Thus AUCp may be a good evaluation of the AUCc, and the simplified 3-point protocol may well be used and suitable for studies on large groups of subjects who are eligible for an oral fat load test.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11547218

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  8 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.  The latest on the effect of prior exercise on postprandial lipaemia.

Authors:  Maria I Maraki; Labros S Sidossis
Journal:  Sports Med       Date:  2013-06       Impact factor: 11.136

3.  The Alterations of Erythrocyte Phospholipids in Type 2 Diabetes Observed after Oral High-Fat Meal Loading: The FTIR Spectroscopic and Mass Spectrometric Studies.

Authors:  Sukrit Sirikwanpong; Winai Dahlan; Sathaporn Ngamukote; Siriporn Sangsuthum; Sirichai Adisakwattana; Vanida Nopponpunth; Thep Himathongkam
Journal:  J Clin Biochem Nutr       Date:  2010-07-03       Impact factor: 3.114

4.  Suitability of 3-point versus 7-point postprandial retinyl palmitate AUC in human bioavailability studies.

Authors:  Carmen Herrero-Barbudo; Fernando Granado-Lorencio; Begoña Olmedilla-Alonso
Journal:  Eur J Nutr       Date:  2008-01-25       Impact factor: 5.614

5.  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

6.  Evolving data analysis of an Oral Lipid Tolerance Test toward the standard for the Oral Glucose Tolerance Test: Cross species modeling effects of AZD7687 on plasma triacylglycerol.

Authors:  Pablo Morentin Gutierrez; James Yates; Catarina Nilsson; Sue Birtles
Journal:  Pharmacol Res Perspect       Date:  2019-03-09

Review 7.  Efficacy of Polyphenols in the Management of Dyslipidemia: A Focus on Clinical Studies.

Authors:  Francis Feldman; Mireille Koudoufio; Yves Desjardins; Schohraya Spahis; Edgard Delvin; Emile Levy
Journal:  Nutrients       Date:  2021-02-19       Impact factor: 5.717

8.  Predicting postprandial lipemia in healthy adults and in at-risk individuals with components of the cardiometabolic syndrome.

Authors:  R Scott Rector; Melissa A Linden; John Q Zhang; Shana O Warner; Thomas S Altena; Bryan K Smith; George G Ziogas; Ying Liu; Tom R Thomas
Journal:  J Clin Hypertens (Greenwich)       Date:  2009-11       Impact factor: 3.738

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.