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Updated: Oct 4, 2026

Assessing Whole-Body Lipid-Handling Capacity in Mice
Published on: November 24, 2020
Analysis of the postprandial lipid metabolism: use of a 3-point test
B Guerci1, J L Paul, S Hadjadj
1Service de Diabétologie, Maladies Métaboliques & Maladies de la Nutrition, Centre d'Investigation Clinique/INSERM, CHU de Nancy, Hôpital Jeanne d'Arc, 54201 Toul Cedex, France. b.guerci@chu-nancy.fr
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.
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