Literature DB >> 8891457

Postprandial lipid metabolism and beta-cell function in non-insulin-dependent (type 2) diabetes mellitus after a mixed meal with a high fat content.

M B Cooper1, K C Tan, C N Hales, D J Betteridge.   

Abstract

Postprandial lipid profiles and release of insulin (INS), intact proinsulin (PI), and 32-33 split proinsulin (SPI) in response to a mixed meal with a high fat content were determined over a 12 h period in non-obese control subjects (n = 10) and non-insulin-dependent (Type 2) diabetic (NIDDM) patients with normotriglyceridaemia (NTG; n = 11) and hypertriglyceridaemia (HTG; n = 10), by calculation of the 'areas under the curves' (AUC). The postprandial triglyceride-AUC was significantly greater in HTG-NIDDM patients (p < 0.05) than in NTG-NIDDM or control subjects. Chylomicron clearance was impaired only in HTG-NIDDM patients (p < 0.05). Chylomicron-remnant clearance was impaired in both groups of NIDDM patients (p < 0.05). The postprandial suppression of plasma non-esterified fatty acid (NEFA) content was impaired in HTG-NIDDM patients (p < 0.05). The postprandial INS-, PI- and SPI-AUCS were significantly greater than in the control subjects (p < 0.05). In NIDDM, triglyceride-AUC correlated significantly with PI and SPI release (triglyceride-AUC vs PI, p < 0.05; triglyceride-AUC vs SPI, p < 0.01). Chylomicron AUC was unrelated to the fasting plasma INS, PI or SPI content, unlike chylomicron-remnant-AUC (Chylomicron-remnant-AUC vs INS, p = NS; chylomicron-remnant-AUC vs PI, p < 0.01; chylomicron-remnant-AUC vs SPI, p < 0.01). The NEFA response was associated with fasting plasma SPI content (NEFA-AUC vs SPI, p < 0.05). Postprandial chylomicron AUC was not related to the overall secretion of INS, PI or SPI. However, triglyceride-, chylomicron-remnant- and NEFA-AUCs were all associated positively with the release of PI and SPI (p < 0.05). In multivariate analyses, chylomicron-remnant clearance had the major relationship with the release of insulin precursors, accounting for 23% of the variability (p < 0.01). Inclusion of overall response of free fatty acids improved the model, with both parameters together accounting for 30% of the variability (p < 0.01). The output of the beta-cell over the postprandial period differed between the NIDDM patients and the control subjects in that when glycaemic stimulation was moderate, the proportion of insulin-like molecules as a percentage of the total output was greater than in control subjects but this was not the situation when glycaemia was greatest. We conclude that abnormal postprandial lipaemia in NIDDM is associated with beta-cell output, possibly mediated by the availability of free fatty acids.

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Year:  1996        PMID: 8891457     DOI: 10.1002/(SICI)1096-9136(199609)13:9<816::AID-DIA183>3.0.CO;2-L

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  9 in total

1.  Proinsulin and insulin responses to a mixed meal in hypertriglyceridaemic men.

Authors:  R Gama; F Norris; S Hampton; L Morgan; J Wright; V Marks
Journal:  J Clin Pathol       Date:  1999-08       Impact factor: 3.411

2.  The effect of sensitisation to insulin with pioglitazone on fasting and postprandial lipid metabolism, lipoprotein modification by lipases, and lipid transfer activities in type 2 diabetic patients.

Authors:  K Al Majali; M B Cooper; B Staels; G Luc; M-R Taskinen; D J Betteridge
Journal:  Diabetologia       Date:  2006-01-21       Impact factor: 10.122

3.  The vascular implications of post-prandial lipoprotein metabolism.

Authors:  David R Sullivan; David S Celermajer; David G Le Couteur; Christopher W K Lam
Journal:  Clin Biochem Rev       Date:  2004-02

4.  Assessment of Neutrophil Gelatinase-Associated Lipocalin (NGAL) and Retinol-Binding Protein 4 (RBP4) in Type 2 Diabetic Patients with Nephropathy.

Authors:  Mohamed H Mahfouz; Adel M Assiri; Mohammed H Mukhtar
Journal:  Biomark Insights       Date:  2016-02-16

5.  Effects of a liquid high-fat meal on postprandial lipid metabolism in type 2 diabetic patients with abdominal obesity.

Authors:  Feng Wang; Huixia Lu; Fukang Liu; Huizhen Cai; Zhixiu Song; Fei Guo; Yulan Xie; Guofang Shu; Guiju Sun
Journal:  Nutr Metab (Lond)       Date:  2017-08-14       Impact factor: 4.169

Review 6.  Fatty Acid-Stimulated Insulin Secretion vs. Lipotoxicity.

Authors:  Petr Ježek; Martin Jabůrek; Blanka Holendová; Lydie Plecitá-Hlavatá
Journal:  Molecules       Date:  2018-06-19       Impact factor: 4.411

7.  The proinsulin/insulin (PI/I) ratio is reduced by postprandial targeting therapy in type 2 diabetes mellitus: a small-scale clinical study.

Authors:  Tsuyoshi Ohkura; Kazuoki Inoue; Youhei Fujioka; Risa Nakanishi; Hideki Shiochi; Keisuke Sumi; Naoya Yamamoto; Kazuhiko Matsuzawa; Shoichiro Izawa; Hiroko Ohkura; Masahiko Kato; Kazuhiro Yamamoto; Shin-ichi Taniguchi
Journal:  BMC Res Notes       Date:  2013-11-11

Review 8.  Fasting, non-fasting and postprandial triglycerides for screening cardiometabolic risk.

Authors:  Bryant H Keirns; Christina M Sciarrillo; Nicholas A Koemel; Sam R Emerson
Journal:  J Nutr Sci       Date:  2021-09-14

9.  Comparative study on fasting and postprandial lipid profile in type 2 diabetes mellitus.

Authors:  Jasmeen Chahal; Sunita Gupta; Sumit Pal Singh Chawla; Harpreet Grewal
Journal:  J Family Med Prim Care       Date:  2021-04-08
  9 in total

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