Literature DB >> 8899484

Dyslipidaemia and hyperlipidaemia following renal transplantation.

L Lócsey1, L Asztalos, Z Kincses, F Gyórfi, C Berczi.   

Abstract

The lipid metabolism of 93 patients with renal transplantation was prospectively studied. It was characterized by the serum levels of cholesterol, HDL, LDL, triglyceride, apolipoprotein Al, Apo B and lipoprotein (a) as well as by lipid electrophoresis. In addition to the examination of lipid concentrations, the authors looked for correlations with other metabolic changes, immunosuppressive treatment and the changes of body weight and hypertension following transplantation. Their conclusion is that hyperlipidaemic and dyslipidaemic changes, as reflected by the levels of total cholesterol, LDL and Apo B, are more considerable in women than in men. The levels of pre-beta and beta lipoprotein were not significantly lower in men than in women. With the passing of time after transplantation and with the reduction of the doses of cyclosporine and corticosteroids, the values of hypertension, hyperlipidaemia and dyslipidaemia decreased. According to the follow-up results, the lipid values measured in the winter and autumn months are higher than those found in the summer. The importance of early and follow-up examinations and of the reduction of pathological metabolic alterations is emphasized.

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Year:  1996        PMID: 8899484     DOI: 10.1007/bf02550506

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  25 in total

1.  Impact of obesity on renal transplantation.

Authors:  I S Gill; E E Hodge; A C Novick; D R Steinmuller; D Garred
Journal:  Transplant Proc       Date:  1993-02       Impact factor: 1.066

2.  Risk factors predicting chronic rejection of renal allografts.

Authors:  H Isoniemi; M Nurminen; M J Tikkanen; E von Willebrand; L Krogerus; J Ahonen; B Eklund; K Höckerstedt; K Salmela; P Häyry
Journal:  Transplantation       Date:  1994-01       Impact factor: 4.939

3.  Obesity in kidney transplant patients as a risk factor.

Authors:  M Blümke; E Keller; F Eble; M Nausner; G Kirste
Journal:  Transplant Proc       Date:  1993-08       Impact factor: 1.066

Review 4.  Lipids and the kidney.

Authors:  W F Keane
Journal:  Kidney Int       Date:  1994-09       Impact factor: 10.612

5.  Lp(a) and premature mortality during chronic hemodialysis treatment.

Authors:  M D Cressman; D Abood; J O'Neil; H F Hoff
Journal:  Chem Phys Lipids       Date:  1994-01       Impact factor: 3.329

6.  Enhanced LDL oxidation in uremic patients: an additional mechanism for accelerated atherosclerosis?

Authors:  E Maggi; R Bellazzi; F Falaschi; A Frattoni; G Perani; G Finardi; A Gazo; M Nai; D Romanini; G Bellomo
Journal:  Kidney Int       Date:  1994-03       Impact factor: 10.612

7.  Factors influencing weight gain after renal transplantation.

Authors:  C P Johnson; S Gallagher-Lepak; Y R Zhu; C Porth; S Kelber; A M Roza; M B Adams
Journal:  Transplantation       Date:  1993-10       Impact factor: 4.939

Review 8.  Pathogenesis and treatment perspectives of chronic graft rejection (CVR).

Authors:  B C Fellström; E Larsson
Journal:  Immunol Rev       Date:  1993-08       Impact factor: 12.988

9.  Treatment of hyperlipidemic kidney graft recipients with lovastatin: effect on LDL-cholesterol and lipoprotein (a).

Authors:  O Traindl; S Reading; M Franz; B Watschinger; R Klauser; H Pidlich; K Widhalm; E Pohanka; J Kovarik
Journal:  Nephron       Date:  1992       Impact factor: 2.847

10.  The influence of pretransplant lipoprotein abnormalities on the early results of renal transplantation.

Authors:  E Dimény; G Tufveson; H Lithell; E Larsson; A Siegbahn; B Fellström
Journal:  Eur J Clin Invest       Date:  1993-09       Impact factor: 4.686

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  6 in total

1.  Corticosteroid-regulated genes in rat kidney: mining time series array data.

Authors:  Richard R Almon; William Lai; Debra C DuBois; William J Jusko
Journal:  Am J Physiol Endocrinol Metab       Date:  2005-06-28       Impact factor: 4.310

2.  A microarray analysis of the temporal response of liver to methylprednisolone: a comparative analysis of two dosing regimens.

Authors:  Richard R Almon; Debra C DuBois; William J Jusko
Journal:  Endocrinology       Date:  2007-02-15       Impact factor: 4.736

3.  Microarray analysis of the temporal response of skeletal muscle to methylprednisolone: comparative analysis of two dosing regimens.

Authors:  Richard R Almon; Debra C DuBois; Zhenling Yao; Eric P Hoffman; Svetlana Ghimbovschi; William J Jusko
Journal:  Physiol Genomics       Date:  2007-05-01       Impact factor: 3.107

4.  Pharmacodynamics and pharmacogenomics of diverse receptor-mediated effects of methylprednisolone in rats using microarray analysis.

Authors:  Richard R Almon; Debra C DuBois; Emily H Brandenburg; Wei Shi; Shuzhong Zhang; Robert M Straubinger; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-04       Impact factor: 2.745

5.  Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: transcriptional dynamics and regulatory structures.

Authors:  Tung T Nguyen; Richard R Almon; Debra C Dubois; William J Jusko; Ioannis P Androulakis
Journal:  BMC Bioinformatics       Date:  2010-10-14       Impact factor: 3.169

6.  Tissue-specific gene expression and regulation in liver and muscle following chronic corticosteroid administration.

Authors:  Tung T Nguyen; Richard R Almon; Debra C Dubois; Siddharth Sukumaran; William J Jusko; Ioannis P Androulakis
Journal:  Gene Regul Syst Bio       Date:  2014-03-10
  6 in total

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