Literature DB >> 21405969

Identifying biomarkers as diagnostic tools in kidney transplantation.

Valeria R Mas1, Thomas F Mueller, Kellie J Archer, Daniel G Maluf.   

Abstract

There is a critical need for biomarkers for early diagnosis, treatment response, and surrogate end point and outcome prediction in organ transplantation, leading to a tailored and individualized treatment. Genomic and proteomic platforms have provided multiple promising new biomarkers during the last few years. However, there is still no routine application of any of these markers in clinical transplantation. This article will discuss the existing gap between biomarker discovery and clinical application in the kidney transplant setting. Approaches to implementing biomarker monitoring into clinical practice will also be discussed.

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Year:  2011        PMID: 21405969      PMCID: PMC3116652          DOI: 10.1586/erm.10.119

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  108 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  Lack of improvement in renal allograft survival despite a marked decrease in acute rejection rates over the most recent era.

Authors:  Herwig-Ulf Meier-Kriesche; Jesse D Schold; Titte R Srinivas; Bruce Kaplan
Journal:  Am J Transplant       Date:  2004-03       Impact factor: 8.086

3.  Interlaboratory and interplatform comparison of microarray gene expression analysis of HepG2 cells exposed to benzo(a)pyrene.

Authors:  Sarah L Hockley; Karen Mathijs; Yvonne C M Staal; Daniel Brewer; Ian Giddings; Joost H M van Delft; David H Phillips
Journal:  OMICS       Date:  2009-04

4.  Molecular correlates of scarring in kidney transplants: the emergence of mast cell transcripts.

Authors:  M Mengel; J Reeve; S Bunnag; G Einecke; B Sis; T Mueller; B Kaplan; P F Halloran
Journal:  Am J Transplant       Date:  2008-10-31       Impact factor: 8.086

5.  Can protocol biopsy better inform our choices in renal transplantation?

Authors:  D Rush
Journal:  Transplant Proc       Date:  2009-07-10       Impact factor: 1.066

6.  Semantic data integration and knowledge management to represent biological network associations.

Authors:  Sascha Losko; Klaus Heumann
Journal:  Methods Mol Biol       Date:  2009

7.  The clinical usefulness of the renal allograft biopsy in the cyclosporine era: a prospective study.

Authors:  M Pascual; H Vallhonrat; A B Cosimi; N Tolkoff-Rubin; R B Colvin; F L Delmonico; D S Ko; D A Schoenfeld; W W Williams
Journal:  Transplantation       Date:  1999-03-15       Impact factor: 4.939

8.  Molecular biomarker candidates of acute kidney injury in zero-hour renal transplant needle biopsies.

Authors:  Reka Korbély; Julia Wilflingseder; Paul Perco; Alexander Kainz; Robert M Langer; Bernd Mayer; Rainer Oberbauer
Journal:  Transpl Int       Date:  2010-09-03       Impact factor: 3.782

9.  Functional and morphologic evaluation of kidney proximal tubuli and correlation with renal allograft prognosis.

Authors:  Ana Cristina Carvalho de Matos; Niels Olsen Saraiva Câmara; Ana Francisca Franco de Oliveira; Marcello F Franco; Luiz Antonio Ribeiro Moura; Sonia Nishida; Aparecido Bernardo Pereira; Alvaro Pacheco-Silva
Journal:  Transpl Int       Date:  2009-11-19       Impact factor: 3.782

Review 10.  Overview of factors contributing to the pathophysiology of progressive renal disease.

Authors:  Detlef O Schlondorff
Journal:  Kidney Int       Date:  2008-07-23       Impact factor: 10.612

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  14 in total

1.  Pretransplant transcriptome profiles identify among kidneys with delayed graft function those with poorer quality and outcome.

Authors:  Valeria R Mas; Mariano J Scian; Kellie J Archer; Jihee L Suh; Krystle G David; Qing Ren; Todd W B Gehr; Anne L King; Marc P Posner; Thomas F Mueller; Daniel G Maluf
Journal:  Mol Med       Date:  2011-09-06       Impact factor: 6.354

Review 2.  Epigenetics in Kidney Transplantation: Current Evidence, Predictions, and Future Research Directions.

Authors:  Valeria R Mas; Thu H Le; Daniel G Maluf
Journal:  Transplantation       Date:  2016-01       Impact factor: 4.939

3.  Clinical Validation of an Immune Quiescence Gene Expression Signature in Kidney Transplantation.

Authors:  Enver Akalin; Matthew R Weir; Suphamai Bunnapradist; Daniel C Brennan; Rowena Delos Santos; Anthony Langone; Arjang Djamali; Hua Xu; Xia Jin; Sham Dholakia; Robert N Woodward; Jonathan S Bromberg
Journal:  Kidney360       Date:  2021-09-28

4.  Histologic and Molecular Patterns in Responders and Non-responders With Chronic-Active Antibody-Mediated Rejection in Kidney Transplants.

Authors:  Onur Sazpinar; Ariana Gaspert; Daniel Sidler; Markus Rechsteiner; Thomas F Mueller
Journal:  Front Med (Lausanne)       Date:  2022-04-29

Review 5.  MicroRNAs as biomarkers in solid organ transplantation.

Authors:  V R Mas; C I Dumur; M J Scian; R C Gehrau; D G Maluf
Journal:  Am J Transplant       Date:  2012-11-08       Impact factor: 8.086

6.  Profiling circulating microRNA expression in a mouse model of nerve allotransplantation.

Authors:  Cheng-Shyuan Rau; Johnson Chia-Shen Yang; Shao-Chun Wu; Yi-Chun Chen; Tsu-Hsiang Lu; Ming-Wei Lin; Yi-Chan Wu; Siou-Ling Tzeng; Chia-Jung Wu; Ching-Hua Hsieh
Journal:  J Biomed Sci       Date:  2013-09-05       Impact factor: 8.410

Review 7.  Biomarkers in renal transplantation: An updated review.

Authors:  Maurizio Salvadori; Aris Tsalouchos
Journal:  World J Transplant       Date:  2017-06-24

8.  Metabolomics identifies metabolite biomarkers associated with acute rejection after heart transplantation in rats.

Authors:  Feng Lin; Yi Ou; Chuan-Zhong Huang; Sheng-Zhe Lin; Yun-Bin Ye
Journal:  Sci Rep       Date:  2017-11-13       Impact factor: 4.379

Review 9.  Computational Models for Transplant Biomarker Discovery.

Authors:  Anyou Wang; Minnie M Sarwal
Journal:  Front Immunol       Date:  2015-09-08       Impact factor: 7.561

10.  Novel surgical techniques, regenerative medicine, tissue engineering and innovative immunosuppression in kidney transplantation.

Authors:  Maciej Nowacki; Łukasz Nazarewski; Tomasz Kloskowski; Dominik Tyloch; Marta Pokrywczyńska; Katarzyna Pietkun; Arkadiusz Jundziłł; Janusz Tyloch; Samy L Habib; Tomasz Drewa
Journal:  Arch Med Sci       Date:  2016-08-25       Impact factor: 3.318

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