Literature DB >> 19646194

Effects of rosiglitazone and pioglitazone on lipoprotein metabolism in patients with Type 2 diabetes and normal lipids.

A L Brackenridge1, N Jackson, W Jefferson, M Stolinski, F Shojaee-Moradie, R Hovorka, A M Umpleby, D Russell-Jones.   

Abstract

AIMS: Previous studies have suggested that plasma lipids are affected differently by the peroxisome proliferators-activated receptor (PPAR)-gamma agonists pioglitazone and rosiglitazone. The aim of this study was to perform a quantitative lipoprotein turnover study to determine the effects of PPAR-gamma agonists on lipoprotein metabolism.
METHODS: Twenty-four subjects with Type 2 diabetes treated with diet and/or metformin were randomized in a double-blind study to receive 30 mg pioglitazone, 8 mg rosiglitazone or placebo once daily for 3 months. Before and after treatment, absolute secretion rate (ASR) and fractional catabolic rate (FCR) of very low-density lipoprotein (VLDL), intermediate-density lipoprotein (IDL) and low-density lipoprotein (LDL) apolipoprotein B100 were measured with a 10-h infusion of 1-13C leucine.
RESULTS: There was a significant decrease in glycated haemoglobin (HbA(1c)) and non-esterified fatty acids with pioglitazone (P = 0.01; P = 0.02) and rosiglitazone (P = 0.04; P = 0.003), respectively, but no change in plasma triglyceride or high-density lipoprotein (HDL) cholesterol. Following rosiglitazone, there was a significant reduction in VLDL apolipoprotein B100 (apoB) ASR (P = 0.01) compared with baseline, a decrease in VLDL triglyceride/apoB (P = 0.01), an increase in LDL2 cholesterol (P = 0.02) and a decrease in LDL3 cholesterol (P = 0.02). There was a decrease in VLDL triglyceride/apoB (P = 0.04) in the pioglitazone group. There was no significant difference in change in VLDL ASR or FCR among the three groups.
CONCLUSIONS: In patients with Type 2 diabetes and normal lipids, treatment with rosiglitazone or pioglitazone had no significant effect on lipoprotein metabolism compared with placebo.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19646194     DOI: 10.1111/j.1464-5491.2009.02729.x

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


  5 in total

1.  Identifying plausible adverse drug reactions using knowledge extracted from the literature.

Authors:  Ning Shang; Hua Xu; Thomas C Rindflesch; Trevor Cohen
Journal:  J Biomed Inform       Date:  2014-07-19       Impact factor: 6.317

Review 2.  PPAR-γ as a therapeutic target in cardiovascular disease: evidence and uncertainty.

Authors:  Janice V Huang; Clifford R Greyson; Gregory G Schwartz
Journal:  J Lipid Res       Date:  2012-06-08       Impact factor: 5.922

3.  Impact of liver fat on the differential partitioning of hepatic triacylglycerol into VLDL subclasses on high and low sugar diets.

Authors:  A Margot Umpleby; Fariba Shojaee-Moradie; Barbara Fielding; Xuefei Li; Andrea Marino; Najlaa Alsini; Cheryl Isherwood; Nicola Jackson; Aryati Ahmad; Michael Stolinski; Julie A Lovegrove; Sigurd Johnsen; A S Jeewaka R Mendis; John Wright; Malgorzata E Wilinska; Roman Hovorka; Jimmy D Bell; E Louise Thomas; Gary S Frost; Bruce A Griffin
Journal:  Clin Sci (Lond)       Date:  2017-10-17       Impact factor: 6.124

4.  Silencing of ANGPTL 3 (angiopoietin-like protein 3) in human hepatocytes results in decreased expression of gluconeogenic genes and reduced triacylglycerol-rich VLDL secretion upon insulin stimulation.

Authors:  Anna Tikka; Jarkko Soronen; Pirkka-Pekka Laurila; Jari Metso; Christian Ehnholm; Matti Jauhiainen
Journal:  Biosci Rep       Date:  2014-12-12       Impact factor: 3.840

5.  Age, sex, disease severity, and disease duration difference in placebo response: implications from a meta-analysis of diabetes mellitus.

Authors:  Chu Lin; Xiaoling Cai; Wenjia Yang; Fang Lv; Lin Nie; Linong Ji
Journal:  BMC Med       Date:  2020-11-16       Impact factor: 8.775

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.