Literature DB >> 14871427

A broad-based metabolic approach to study VLDL apoB100 metabolism in patients with ESRD and patients treated with peritoneal dialysis.

Berthil H C M T Prinsen1, Ton J Rabelink, Johannes A Romijn, Peter H Bisschop, Martina M J de Barse, José de Boer, Timon W van Haeften, P Hugh R Barrett, Ruud Berger, Monique G M de Sain-van der Velden.   

Abstract

BACKGROUND: Dyslipidemia is often observed in patients with end-stage renal disease (ESRD) and is associated with cardiovascular diseases. Peritoneal dialysis treatment may further deteriorate the lipoprotein abnormalities, suggesting that peritoneal dialysis alters lipid metabolism.
METHODS: To study the mechanisms involved in these abnormalities in peritoneal dialysis, we measured insulin sensitivity, free fatty acids release, de novo lipogenesis (DNL), very low-density lipoprotein (VLDL) apoB100 kinetics and cholesterol synthesis in vivo in ESRD (N= 6), peritoneal dialysis patients (N= 5), and controls (N= 7) using stable isotopes.
RESULTS: Insulin sensitivity, as assessed by an euglycemic hyperinsulinemic clamp, tended to be lower in ESRD and peritoneal dialysis compared to controls [P= 0.08 by analysis of variance (ANOVA)]. Free fatty acid release during the euglycemic hyperinsulinemic clamp tended to be higher in ESRD and peritoneal dialysis compared to controls (P= 0.08 by ANOVA), while DNL and fractional cholesterol synthesis were normal. VLDL-1 apoB100 (P < 0.05) and VLDL-2 apoB100 pool sizes (P < 0.05) were significantly higher in peritoneal dialysis patients compared to controls. The increased VLDL-1 apoB100 pool size was explained by increased VLDL-1 apoB100 synthesis (P < 0.05) in combination with reduced VLDL-1 apoB100 catabolism (P < 0.01), while the increased VLDL-2 apoB100 pool was explained by reduced catabolism (P < 0.01).
CONCLUSION: Both VLDL-1 apoB100 and VLDL-2 apoB100 pool sizes are increased in peritoneal dialysis patients, due to disturbances both in synthesis and catabolism. VLDL-1 apoB100 production is, at least partially, explained by increased free fatty acid availability secondary to peripheral insulin resistance, thus identifying insulin resistance as potential therapeutic target in peritoneal dialysis patients.

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Year:  2004        PMID: 14871427     DOI: 10.1111/j.1523-1755.2004.00466.x

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  9 in total

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Journal:  Nat Rev Nephrol       Date:  2012-02-21       Impact factor: 28.314

2.  Fish oil -- how does it reduce plasma triglycerides?

Authors:  Gregory C Shearer; Olga V Savinova; William S Harris
Journal:  Biochim Biophys Acta       Date:  2011-10-25

Review 3.  Cardiovascular risk in the peritoneal dialysis patient.

Authors:  Raymond T Krediet; Olga Balafa
Journal:  Nat Rev Nephrol       Date:  2010-06-22       Impact factor: 28.314

4.  Very Low Density Lipoprotein Metabolism in Patients with Chronic Kidney Disease.

Authors:  Xuewen Wang; Sharina Belani; Daniel W Coyne; Elisa Fabbrini; Dominic N Reeds; Bruce W Patterson; Bettina Mittendorfer; Samuel Klein
Journal:  Cardiorenal Med       Date:  2012-01-26       Impact factor: 2.041

Review 5.  Lipoprotein metabolism in chronic renal insufficiency.

Authors:  Jeffrey M Saland; Henry N Ginsberg
Journal:  Pediatr Nephrol       Date:  2007-03-28       Impact factor: 3.714

6.  Chronic kidney disease delays VLDL-apoB-100 particle catabolism: potential role of apolipoprotein C-III.

Authors:  Doris T Chan; Gursharan K Dogra; Ashley B Irish; Esther M Ooi; P Hugh Barrett; Dick C Chan; Gerald F Watts
Journal:  J Lipid Res       Date:  2009-06-21       Impact factor: 5.922

7.  The lipid story in chronic kidney disease: a long story with a happy end?

Authors:  Agata Kujawa-Szewieczek; Andrzej Więcek; Grzegorz Piecha
Journal:  Int Urol Nephrol       Date:  2013-10       Impact factor: 2.370

8.  The relationship between apelin and cardiac parameters in patients on peritoneal dialysis: is there a new cardiac marker?

Authors:  Serhat Karadag; Savas Ozturk; Meltem Gursu; Ahmet Gurdal; Filiz Basinoglu; Servet Yigit; Zeki Aydin; Sami Uzun; Abdullah Sumnu; Huseyin Oflaz; Rumeyza Kazancioglu
Journal:  BMC Nephrol       Date:  2014-01-16       Impact factor: 2.388

9.  Correlation between Serum Lipid Levels and Measured Glomerular Filtration Rate in Chinese Patients with Chronic Kidney Disease.

Authors:  Yanni Wang; Xilian Qiu; Linsheng Lv; Caixia Wang; Zengchun Ye; Shaomin Li; Qiong Liu; Tanqi Lou; Xun Liu
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

  9 in total

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