Literature DB >> 25078558

Plasma protein biomarkers enhance the clinical prediction of kidney injury recovery in patients undergoing liver transplantation.

Josh Levitsky1, Talia B Baker, Chunfa Jie, Shubhada Ahya, Murray Levin, John Friedewald, Patrice Al-Saden, Daniel R Salomon, Michael M Abecassis.   

Abstract

UNLABELLED: Biomarkers predictive of recovery from acute kidney injury (AKI) after liver transplantation (LT) could enhance decision algorithms regarding the need for liver-kidney transplantation or renal sparing regimens. Multianalyte plasma/urine kidney injury protein panels were performed immediately before and 1 month post-LT in an initial test group divided by reversible pre-LT AKI (rAKI = post-LT renal recovery) versus no AKI (nAKI). This was followed by a larger validation set that included an additional group: irreversible pre-LT AKI (iAKI = no post-LT renal recovery). In the test group (n = 16), six pre-LT plasma (not urine) kidney injury proteins (osteopontin [OPN], neutrophil gelatinase-associated lipocalin, cystatin C, trefoil factor 3, tissue inhibitor of metalloproteinase [TIMP]-1, and β-2-microglobulin) were higher in rAKI versus nAKI (P < 0.05) and returned to normal values with renal recovery post-LT. In the validation set (n = 46), a number of proteins were significantly higher in both rAKI and iAKI versus nAKI. However, only pre-LT plasma OPN (P = 0.009) and TIMP-1 (P = 0.019) levels were significantly higher in rAKI versus iAKI. Logistic regression modeling was used to correlate the probability of post-LT rAKI, factoring in both pre-LT protein markers and clinical variables. A combined model including elevated OPN and TIMP-1 levels, age <57, and absence of diabetes had the highest area under the curve of 0.82, compared to protein-only and clinical variable-only models.
CONCLUSION: These data suggest that plasma protein profiles might improve the prediction of pre-LT kidney injury recovery after LT. However, multicenter, prospective studies are needed to validate these findings and ultimately test the value of such protein panels in perioperative management and decision making.
© 2014 by the American Association for the Study of Liver Diseases.

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Year:  2014        PMID: 25078558     DOI: 10.1002/hep.27346

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.425


  16 in total

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Authors:  Varun Saxena; Jennifer C Lai
Journal:  Adv Chronic Kidney Dis       Date:  2015-09       Impact factor: 3.620

Review 2.  Chronic Kidney Disease and Related Long-Term Complications After Liver Transplantation.

Authors:  Pratima Sharma; Khurram Bari
Journal:  Adv Chronic Kidney Dis       Date:  2015-09       Impact factor: 3.620

3.  Assessment of Urine Proteomics in Type 1 Primary Hyperoxaluria.

Authors:  Ellen R Brooks; Bernd Hoppe; Dawn S Milliner; Eduardo Salido; John Rim; Leah M Krevitt; Julie B Olson; Heather E Price; Gulsah Vural; Craig B Langman
Journal:  Am J Nephrol       Date:  2016-05-03       Impact factor: 3.754

4.  Biomarkers of Renal Injury in Cirrhosis: Association with Acute Kidney Injury and Recovery after Liver Transplantation.

Authors:  Ashwani K Singal; Bradford Jackson; Glauber B Pereira; Kirk B Russ; Paul Stephen Fitzmorris; Donny Kakati; Page Axley; Sujan Ravi; Toni Seay; Satish P Ramachandra Rao; Ravindra Mehta; Yong-Fang Kuo; Karan P Singh; Anupam Agarwal
Journal:  Nephron       Date:  2017-09-02       Impact factor: 2.847

Review 5.  New Developments in Hepatorenal Syndrome.

Authors:  Ayse L Mindikoglu; Stephen C Pappas
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6.  Hepatorenal Syndrome.

Authors:  Claire Francoz; François Durand; Jeffrey A Kahn; Yuri S Genyk; Mitra K Nadim
Journal:  Clin J Am Soc Nephrol       Date:  2019-04-17       Impact factor: 8.237

Review 7.  Protecting the Kidney in Liver Transplant Recipients: Practice-Based Recommendations From the American Society of Transplantation Liver and Intestine Community of Practice.

Authors:  J Levitsky; J G O'Leary; S Asrani; P Sharma; J Fung; A Wiseman; C U Niemann
Journal:  Am J Transplant       Date:  2016-04-22       Impact factor: 8.086

Review 8.  Biomarkers in Transplantation--Proteomics and Metabolomics.

Authors:  Uwe Christians; Jelena Klawitter; Jost Klawitter
Journal:  Ther Drug Monit       Date:  2016-04       Impact factor: 3.681

9.  Discovery and Validation of a Biomarker Model (PRESERVE) Predictive of Renal Outcomes After Liver Transplantation.

Authors:  Josh Levitsky; Sumeet K Asrani; Goran Klintmalm; Thomas Schiano; Adyr Moss; Kenneth Chavin; Charles Miller; Kexin Guo; Lihui Zhao; Linda W Jennings; Merideth Brown; Brian Armstrong; Michael Abecassis
Journal:  Hepatology       Date:  2020-01-28       Impact factor: 17.425

10.  Analysis of a urinary biomarker panel for clinical outcomes assessment in cirrhosis.

Authors:  Xavier Ariza; Elsa Solà; Chiara Elia; Rogelio Barreto; Rebeca Moreira; Manuel Morales-Ruiz; Isabel Graupera; Ezequiel Rodríguez; Patricia Huelin; Cristina Solé; Javier Fernández; Wladimiro Jiménez; Vicente Arroyo; Pere Ginès
Journal:  PLoS One       Date:  2015-06-04       Impact factor: 3.240

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