Literature DB >> 21274534

Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Thomas F Mueller1, Kim Solez, Valeria Mas.   

Abstract

The critical importance of donor organ quality, i.e., number of surviving nephrons, ability to withstand injury, and capacity for repair in determining short- and long-term outcomes is becoming increasingly clear. This review provides an overview of studies to assess donor kidney quality and subsequent transplant outcomes based on clinical pathology and transcriptome-based variables available at time of transplantation. Prediction scores using clinical variables function when applied to large data sets but perform poorly for the individual patient. Histopathology findings in pre-implantation or post-reperfusion biopsies help to assess structural integrity of the donor kidney, provide information on pre-existing donor disease, and can serve as a baseline for tracking changes over time. However, more validated approaches of analysis and prospective studies are needed to reduce the number of discarded organs, improve allocation, and allow prediction of outcomes. Molecular profiling detects changes not seen by morphology or captured by clinical markers. In particular, molecular profiles provide a quantitative measurement of inflammatory burden or immune activation and reflect coordinated changes in pathways associated with injury and repair. However, description of transcriptome patterns is not an end in itself. The identification of predictive gene sets and the application to an individualized patient management needs the integration of clinical and pathology-based variables, as well as more objective reference markers of transplant function, post-transplant events, and long-term outcomes.

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Year:  2011        PMID: 21274534     DOI: 10.1007/s00281-011-0248-x

Source DB:  PubMed          Journal:  Semin Immunopathol        ISSN: 1863-2297            Impact factor:   9.623


  202 in total

1.  The value of microarray techniques for quantitative gene profiling in molecular diagnostics.

Authors:  Stephen A Bustin; Sina Dorudi
Journal:  Trends Mol Med       Date:  2002-06       Impact factor: 11.951

2.  On the intraoperative molecular status of renal allografts after vascular reperfusion and clinical outcomes.

Authors:  Yingyos Avihingsanon; Naili Ma; Martha Pavlakis; W James Chon; Marc E Uknis; Anthony P Monaco; Christiane Ferran; Isaac Stillman; Asher D Schachter; Christina Mottley; Xin Xiao Zheng; Terry B Strom
Journal:  J Am Soc Nephrol       Date:  2005-05-11       Impact factor: 10.121

Review 3.  Therapeutic targets in the treatment of allograft fibrosis.

Authors:  R B Mannon
Journal:  Am J Transplant       Date:  2006-05       Impact factor: 8.086

4.  Utility of a mathematical nomogram to predict delayed graft function: a single-center experience-critique.

Authors:  William D Irish; Jianmin Wang; Daniel C Brennan
Journal:  Transplantation       Date:  2007-02-27       Impact factor: 4.939

5.  Scoring total inflammation is superior to the current Banff inflammation score in predicting outcome and the degree of molecular disturbance in renal allografts.

Authors:  M Mengel; J Reeve; S Bunnag; G Einecke; G S Jhangri; B Sis; K Famulski; L Guembes-Hidalgo; P F Halloran
Journal:  Am J Transplant       Date:  2009-06-26       Impact factor: 8.086

6.  Donor characteristics associated with reduced graft survival: an approach to expanding the pool of kidney donors.

Authors:  Friedrich K Port; Jennifer L Bragg-Gresham; Robert A Metzger; Dawn M Dykstra; Brenda W Gillespie; Eric W Young; Francis L Delmonico; James J Wynn; Robert M Merion; Robert A Wolfe; Philip J Held
Journal:  Transplantation       Date:  2002-11-15       Impact factor: 4.939

7.  Banff '09 meeting report: antibody mediated graft deterioration and implementation of Banff working groups.

Authors:  B Sis; M Mengel; M Haas; R B Colvin; P F Halloran; L C Racusen; K Solez; W M Baldwin; E R Bracamonte; V Broecker; F Cosio; A J Demetris; C Drachenberg; G Einecke; J Gloor; D Glotz; E Kraus; C Legendre; H Liapis; R B Mannon; B J Nankivell; V Nickeleit; J C Papadimitriou; P Randhawa; H Regele; K Renaudin; E R Rodriguez; D Seron; S Seshan; M Suthanthiran; B A Wasowska; A Zachary; A Zeevi
Journal:  Am J Transplant       Date:  2010-01-29       Impact factor: 8.086

8.  Stromal gene expression predicts clinical outcome in breast cancer.

Authors:  Greg Finak; Nicholas Bertos; Francois Pepin; Svetlana Sadekova; Margarita Souleimanova; Hong Zhao; Haiying Chen; Gulbeyaz Omeroglu; Sarkis Meterissian; Atilla Omeroglu; Michael Hallett; Morag Park
Journal:  Nat Med       Date:  2008-04-27       Impact factor: 53.440

Review 9.  From endoplasmic-reticulum stress to the inflammatory response.

Authors:  Kezhong Zhang; Randal J Kaufman
Journal:  Nature       Date:  2008-07-24       Impact factor: 49.962

10.  Determination of lowest possible creatinine in living-donor kidney renal transplant recipients based on donor kidney function.

Authors:  Rebecca Sberro; Julien Zuber; Marc Froissart; Guillaume Canaud; Dominique Prié; Frank Martinez; Marie-France Mamzer-Bruneel; Dany Anglicheau; Christophe Legendre; Eric Thervet
Journal:  Transplantation       Date:  2008-08-27       Impact factor: 4.939

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  9 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.  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

4.  Hyperspectral Imaging for Assessment of Initial Graft Function in Human Kidney Transplantation.

Authors:  Sophie Romann; Tristan Wagner; Shadi Katou; Stefan Reuter; Thomas Vogel; Felix Becker; Haluk Morgul; Philipp Houben; Philip Wahl; Andreas Pascher; Sonia Radunz
Journal:  Diagnostics (Basel)       Date:  2022-05-10

5.  Human kidney graft survival correlates with structural parameters in baseline biopsies: a quantitative observational cohort study with more than 14 years' follow-up.

Authors:  Anne R Ellingsen; Kaj A Jørgensen; Ruth Østerby; Steffen E Petersen; Svend Juul; Niels Marcussen; Jens R Nyengaard
Journal:  Virchows Arch       Date:  2020-09-28       Impact factor: 4.064

6.  An Iranian experience on renal allograft diseases.

Authors:  Diana Taheri; Ardeshir Talebi; Venus Salem; Mehdi Fesharakizadeh; Shahaboddin Dolatkhah; Parvin Mahzouni
Journal:  J Res Med Sci       Date:  2011-12       Impact factor: 1.852

7.  Reduced expression of inflammatory genes in deceased donor kidneys undergoing pulsatile pump preservation.

Authors:  Valeria R Mas; Kellie J Archer; Catherine I Dumur; Mariano J Scian; Jihee L Suh; Anne L King; Megan E Wardius; Julie A Straub; Marc P Posner; Kenneth Brayman; Daniel G Maluf
Journal:  PLoS One       Date:  2012-04-24       Impact factor: 3.240

Review 8.  Biomarkers in renal transplantation: An updated review.

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

Review 9.  Assessment of Organ Quality in Kidney Transplantation by Molecular Analysis and Why It May Not Have Been Achieved, Yet.

Authors:  Seraina von Moos; Enver Akalin; Valeria Mas; Thomas F Mueller
Journal:  Front Immunol       Date:  2020-05-12       Impact factor: 7.561

  9 in total

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