Literature DB >> 22468036

Serum cystatin C levels in renal transplant recipients.

N Krishnamurthy, K Arumugasamy, Usha Anand, C V Anand, V Aruna, G Venu.   

Abstract

Cystatin C is an emerging parameter for the assessment of renal allograft function. The objective of the study was to compare the efficacy of serum cystatin C (SCys) with the established parameter serum creatinine (SCr) in the assessment of renal function in renal transplant recipients (RTR). The glomerular filtration rate (GFR) of 30 renal transplant patients and 29 control subjects was determined using (99m)Tc Diethylene-triamine-penta-acetate (DTPA) method. SCr was measured using an automated Jaffe's assay and SCys was measured using latex particle enhanced turbidimetric immuno assay (PETIA). The modification of diet in renal disease (MDRD) formula was used to calculate GFR from SCr, while the Le Bricon formula was used to derive GFR based on SCys. Statistical analysis was performed using MedCalc software. SCr and SCys levels were significantly higher, while DTPA clearance was significantly lower in RTR (P < 0.0001) when compared with controls. The correlation coefficient (r value) between calculated GFR based on MDRD method and DTPA clearance was 0.343 (P = 0.06) while the calculated GFR based on Le Bricon formula was 0.694 (P < 0.001). The results have shown that SCys is a better parameter than SCr in assessing renal function in RTR. The inclusion of SCys as an additional parameter would certainly help in detection of even a marginal decline in renal function and also in adjusting the dosage of immunosuppressive drugs.

Entities:  

Keywords:  Creatinine; Cystatin C; DTPA; Glomerular filtration rate

Year:  2010        PMID: 22468036      PMCID: PMC3107417          DOI: 10.1007/s12291-010-0084-0

Source DB:  PubMed          Journal:  Indian J Clin Biochem        ISSN: 0970-1915


  14 in total

1.  Plasma cystatin C is superior to 24-h creatinine clearance and plasma creatinine for estimation of glomerular filtration rate 3 months after kidney transplantation.

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Journal:  Nephrol Dial Transplant       Date:  1999-08       Impact factor: 5.992

8.  Estimating glomerular filtration rate in kidney transplantation: a comparison between serum creatinine and cystatin C-based methods.

Authors:  Christine White; Ayub Akbari; Naser Hussain; Laurent Dinh; Guido Filler; Nathalie Lepage; Greg A Knoll
Journal:  J Am Soc Nephrol       Date:  2005-10-19       Impact factor: 10.121

9.  Serum cystatin C is a more sensitive and more accurate marker of glomerular filtration rate than enzymatic measurements of creatinine in renal transplantation.

Authors:  Anders Christensson; Jana Ekberg; Anders Grubb; Henrik Ekberg; Veronica Lindström; Hans Lilja
Journal:  Nephron Physiol       Date:  2003

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Journal:  Clin Chem       Date:  1998-07       Impact factor: 8.327

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  4 in total

Review 1.  A meta-analysis on diagnostic value of serum cystatin C and creatinine for the evaluation of glomerular filtration function in renal transplant patients.

Authors:  Pan Pan; Hu Binjie; Li Min; Fan Lipei; Ni Yanli; Zhou Junwen; Shi Xianghua
Journal:  Afr Health Sci       Date:  2014-12       Impact factor: 0.927

Review 2.  Cystatin C as a potential biomarker for dosing of renally excreted drugs.

Authors:  Nguessan Aimé Brou; Evelyne Jacqz-Aigrain; Wei Zhao
Journal:  Br J Clin Pharmacol       Date:  2015-05-28       Impact factor: 4.335

Review 3.  The Most Promising Biomarkers of Allogeneic Kidney Transplant Rejection.

Authors:  Karolina Rogulska; Iwona Wojciechowska-Koszko; Barbara Dołęgowska; Ewa Kwiatkowska; Paulina Roszkowska; Patrycja Kapczuk; Danuta Kosik-Bogacka
Journal:  J Immunol Res       Date:  2022-05-28       Impact factor: 4.493

4.  Multicenter study of creatinine- and/or cystatin C-based equations for estimation of glomerular filtration rates in Chinese patients with chronic kidney disease.

Authors:  Jia-fu Feng; Ling Qiu; Lin Zhang; Xue-mei Li; Yu-wei Yang; Ping Zeng; Xiu-zhi Guo; Yan Qin; Hong-chun Liu; Xing-min Han; Yan-peng Li; Wei Xu; Shu-yan Sun; Li-qiang Wang; Hui Quan; Li-jun Xia; Hong-zhang Hu; Fang-cai Zhong; Rong Duan
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

  4 in total

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