Literature DB >> 23435265

Kidney injury molecule-1 and osteopontin: new markers for prediction of early kidney transplant rejection.

Zhan-Kui Jin1, Pu-Xun Tian, Xu-Zhen Wang, Wu-Jun Xue, Xiao-Ming Ding, Jin Zheng, Cheng-Guang Ding, Tian-Ci Mao, Wan-Li Duan, Min Xi.   

Abstract

BACKGROUND: Kidney injury molecule-1 (KIM-1) and osteopontin (OPN) play important roles in immune regulation. We hypothesized that serum KIM-1 and OPN might serve as biomarkers for predicting early acute rejection after kidney transplantation (KTx).
METHODS: We conducted a single-center study of 155 subjects, who were classified into acute rejection group (ARG, n=32), non-rejection group (NRG, n=45) and healthy controls (HC, n=78). Serum KIM-1 and OPN levels were measured by Luminex.
RESULTS: The pre-transplant levels of serum KIM-1 and OPN in all KTx recipients were higher than those of HC (P<0.01). Compared with NRG, ARG showed significantly high serum levels of KIM-1 on day 0 (pre-KTx) and on the 1st, 4th, and 7th post-KTx days, and significantly high OPN levels on day 0 and the 7th day. Kaplan-Meier survival analysis showed that the higher levels of KIM-1 on day 0, the 1st and 4th days and OPN on day 0 and the 7th day were significantly associated with the lower probabilities of rejection-free survival. ROC analyses highlight the superiority of KIM-1 on the 1st day and OPN on the 7th day over those on other post-KTx days in prediction of acute rejection episodes. Multivariate logistic analysis revealed that the serum KIM-1 levels on the 1st post-KTx day and the OPN level on the 7th day were independent and powerful predictors of acute rejection episodes. An optimal predictive model was built by combining KIM-1 on the 1st day and OPN on the 7th day, and this model had the highest AUC (0.922).
CONCLUSIONS: This study was the first to demonstrate that serum KIM-1 and OPN may be the promising and elegant markers for prediction of early acute kidney allograft rejection. Crown
Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23435265     DOI: 10.1016/j.molimm.2013.01.013

Source DB:  PubMed          Journal:  Mol Immunol        ISSN: 0161-5890            Impact factor:   4.407


  13 in total

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Journal:  Inflamm Res       Date:  2018-11-19       Impact factor: 4.575

Review 2.  Through a glass darkly: seeking clarity in preventing late kidney transplant failure.

Authors:  Mark D Stegall; Robert S Gaston; Fernando G Cosio; Arthur Matas
Journal:  J Am Soc Nephrol       Date:  2014-08-05       Impact factor: 10.121

3.  KIM-1 and NGAL as biomarkers of nephrotoxicity induced by gentamicin in rats.

Authors:  Qi-hui Luo; Meng-lu Chen; Feng-jiao Sun; Zheng-li Chen; Ming-yang Li; Wen Zeng; Li Gong; An-chun Cheng; Xi Peng; Jing Fang; Li Tang; Yi Geng
Journal:  Mol Cell Biochem       Date:  2014-08-03       Impact factor: 3.396

Review 4.  Osteopontin and Transplantation: Where Are We Now?

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Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2021-05-21       Impact factor: 4.291

5.  Kidney injury molecule-1 expression in human kidney transplants with interstitial fibrosis and tubular atrophy.

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6.  Establishment of Simple and Routine Methods in Early Diagnosis of Gentamicin-Induced Kidney Injury Based on a Rat Model.

Authors:  Cuiyan Liu; Youxi Kang; Huiqin Zhang; Long Zhu; Hai Yu; Chunyang Han
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7.  Serum Cytokines as Biomarkers in Islet Cell Transplantation for Type 1 Diabetes.

Authors:  Cornelis R van der Torren; Annemarie A Verrijn Stuart; DaHae Lee; Jenny Meerding; Ursule van de Velde; Daniel Pipeleers; Pieter Gillard; Bart Keymeulen; Wilco de Jager; Bart O Roep
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Review 9.  Circulating Organ-Specific MicroRNAs Serve as Biomarkers in Organ-Specific Diseases: Implications for Organ Allo- and Xeno-Transplantation.

Authors:  Ming Zhou; Hidetaka Hara; Yifan Dai; Lisha Mou; David K C Cooper; Changyou Wu; Zhiming Cai
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10.  Osteopontin Levels in Patients With Chronic Kidney Disease Stage 5 on Hemodialysis Directly Correlate With Intact Parathyroid Hormone and Alkaline Phosphatase.

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Journal:  Clin Appl Thromb Hemost       Date:  2019 Jan-Dec       Impact factor: 2.389

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