Literature DB >> 20227695

Postprandial lipid and apolipoprotein responses following three consecutive meals associate with liver fat content in type 2 diabetes and the metabolic syndrome.

Maarten E Tushuizen1, Petra J Pouwels, Saskia Bontemps, Cees Rustemeijer, Niina Matikainen, Robert J Heine, Marja-Riitta Taskinen, Michaela Diamant.   

Abstract

OBJECTIVE: Liver fat is associated with dyslipidemia following a fat load. Previous studies demonstrated that alimentary fat is temporarily retained within enterocytes and mobilized by subsequently ingested nutrients. As this potentially contributes to cumulative postprandial hyperlipidemia, we assessed postprandial lipoprotein changes and their association with liver fat following 3 consecutive meals during a 24 h period in males with type 2 diabetes, and men with the metabolic syndrome (MetS).
METHODS: Plasma lipids were measured in 14 type 2 diabetic, 14 MetS and 14 healthy age-matched males, following a standardized breakfast (t=0 h), lunch (t=4 h) and diner (t=8 h). Blood samples were collected before and at t=2, 4, 6, 8, 12, 16, 20 and 24 h following breakfast. Liver fat was measured by proton magnetic resonance spectroscopy.
RESULTS: Type 2 diabetic (mean age 55 (4.2) years; HbA1c 7.2 (1.1)%) and MetS men had similar BMI, waist, blood pressure and triglycerides. 24 h-AUC triglycerides, ApoB, and cholesterol-rich-remnants, but not ApoB-48, differed significantly among groups (calculated by ANOVA, all P<0.05). Liver fat was independently associated with 24 h-AUC triglycerides, ApoB and cholesterol-rich-remnants (r=0.57, P<0.001, r=0.38, P=0.017; r=0.48, P=0.002, respectively), but not with 24 h-AUC ApoB-48 (r=0.22, P=0.18).
CONCLUSIONS: In type 2 diabetes and the MetS exposure to 3 consecutive meals produced exaggerated 24 h triglyceride, ApoB and cholesterol-rich-remnant concentrations, which were closely associated with liver fat. Instead, ApoB-48 peak was delayed in type 2 diabetes, but not related to liver fat. In addition to liver fat, other mechanisms, including local intestinal processes, determine atherogenic postprandial lipoprotein changes following 3 consecutive meals during 24 h. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20227695     DOI: 10.1016/j.atherosclerosis.2010.02.002

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


  9 in total

1.  Low-dose glucocorticoid treatment affects multiple aspects of intermediary metabolism in healthy humans: a randomised controlled trial.

Authors:  D H van Raalte; M Brands; N J van der Zijl; M H Muskiet; P J W Pouwels; M T Ackermans; H P Sauerwein; M J Serlie; M Diamant
Journal:  Diabetologia       Date:  2011-05-12       Impact factor: 10.122

2.  Postprandial VLDL-triacylglycerol secretion is not suppressed in obese type 2 diabetic men.

Authors:  E Søndergaard; L P Sørensen; I Rahbek; L C Gormsen; J S Christiansen; S Nielsen
Journal:  Diabetologia       Date:  2012-06-30       Impact factor: 10.122

3.  Assessing Insulin Sensitivity and Postprandial Triglyceridemic Response Phenotypes With a Mixed Macronutrient Tolerance Test.

Authors:  John W Newman; Sridevi Krishnan; Kamil Borkowski; Sean H Adams; Charles B Stephensen; Nancy L Keim
Journal:  Front Nutr       Date:  2022-05-11

4.  Lipidomic profiling of chylomicron triacylglycerols in response to high fat meals.

Authors:  Maxine P Bonham; Kaisa M Linderborg; Aimee Dordevic; Amy E Larsen; Kay Nguo; Jacquelyn M Weir; Petra Gran; Marika K Luotonen; Peter J Meikle; David Cameron-Smith; Heikki P T Kallio; Andrew J Sinclair
Journal:  Lipids       Date:  2012-11-03       Impact factor: 1.880

5.  Prevalence of dyslipidemia among Iranian patients with idiopathic tinnitus.

Authors:  Minoo M-Shirazi; Mohammad Farhadi; Maryam Jalessi; Seyyed-Kamran Kamrava; Ashkan Heshmatzade Behzadi; Behin Arami
Journal:  J Res Med Sci       Date:  2011-07       Impact factor: 1.852

6.  Applications of Quantitative Systems Pharmacology (QSP) in Drug Development for NAFLD and NASH and Its Regulatory Application.

Authors:  Scott Q Siler
Journal:  Pharm Res       Date:  2022-05-24       Impact factor: 4.580

7.  Responses to high-fat challenges varying in fat type in subjects with different metabolic risk phenotypes: a randomized trial.

Authors:  Susan J van Dijk; Marco Mensink; Diederik Esser; Edith J M Feskens; Michael Müller; Lydia A Afman
Journal:  PLoS One       Date:  2012-07-23       Impact factor: 3.240

8.  Addition of a dairy fraction rich in milk fat globule membrane to a high-saturated fat meal reduces the postprandial insulinaemic and inflammatory response in overweight and obese adults.

Authors:  Elieke Demmer; Marta D Van Loan; Nancy Rivera; Tara S Rogers; Erik R Gertz; J Bruce German; Jennifer T Smilowitz; Angela M Zivkovic
Journal:  J Nutr Sci       Date:  2016-03-07

9.  Plasma Cathepsin D Activity Rather Than Levels Correlates With Metabolic Parameters of Type 2 Diabetes in Male Individuals.

Authors:  Lingling Ding; Tom Houben; Yvonne Oligschlaeger; Albert V Bitorina; Bart J Verwer; Maarten E Tushuizen; Ronit Shiri-Sverdlov
Journal:  Front Endocrinol (Lausanne)       Date:  2020-09-30       Impact factor: 5.555

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.