Literature DB >> 26599490

Zero-Time Renal Transplant Biopsies: A Comprehensive Review.

Maarten Naesens1.   

Abstract

Zero-time kidney biopsies, obtained at time of transplantation, are performed in many transplant centers worldwide. Decisions on kidney discard, kidney allocation, and choice of peritransplant and posttransplant treatment are sometimes based on the histological information obtained from these biopsies. This comprehensive review evaluates the practical considerations of performing zero-time biopsies, the predictive performance of zero-time histology and composite histological scores, and the clinical utility of these biopsies. The predictive performance of individual histological lesions and of composite scores for posttransplant outcome is at best moderate. No single histological lesion or composite score is sufficiently robust to be included in algorithms for kidney discard. Dual kidney transplantation has been based on histological assessment of zero-time biopsies and improves outcome in individual patients, but the waitlist effects of this strategy remain obscure. Zero-time biopsies are valuable for clinical and translational research purposes, providing insight in risk factors for posttransplant events, and as baseline for comparison with posttransplant histology. The molecular phenotype of zero-time biopsies yields novel therapeutic targets for improvement of donor selection, peritransplant management and kidney preservation. It remains however highly unclear whether the molecular expression variation in zero-time biopsies could become a better predictor for posttransplant outcome than donor/recipient baseline demographic factors.

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Year:  2016        PMID: 26599490     DOI: 10.1097/TP.0000000000001018

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  15 in total

1.  Pre-implantation kidney biopsy: value of the expertise in determining histological score and comparison with the whole organ on a series of discarded kidneys.

Authors:  Ilaria Girolami; Giovanni Gambaro; Claudio Ghimenton; Serena Beccari; Anna Caliò; Matteo Brunelli; Luca Novelli; Ugo Boggi; Daniela Campani; Gianluigi Zaza; Luigino Boschiero; José Ignacio López; Guido Martignoni; Antonia D'Errico; Dorry Segev; Desley Neil; Albino Eccher
Journal:  J Nephrol       Date:  2019-08-30       Impact factor: 3.902

2.  Combining Clinical Parameters and Acute Tubular Injury Grading Is Superior in Predicting the Prognosis of Deceased-Donor Kidney Transplantation: A 7-Year Observational Study.

Authors:  Jiali Wang; Jinqi Liu; Wenrui Wu; Shicong Yang; Longshan Liu; Qian Fu; Jun Li; Xutao Chen; Ronghai Deng; Chenglin Wu; Sizhe Long; Wujun Zhang; Huanxi Zhang; Haiping Mao; Wenfang Chen
Journal:  Front Immunol       Date:  2022-06-30       Impact factor: 8.786

3.  Uncovering genetic mechanisms of hypertension through multi-omic analysis of the kidney.

Authors:  James M Eales; Xiao Jiang; Xiaoguang Xu; Sushant Saluja; Artur Akbarov; Eddie Cano-Gamez; Michelle T McNulty; Christopher Finan; Hui Guo; Wojciech Wystrychowski; Monika Szulinska; Huw B Thomas; Sanjeev Pramanik; Sandesh Chopade; Priscilla R Prestes; Ingrid Wise; Evangelos Evangelou; Mahan Salehi; Yusif Shakanti; Mikael Ekholm; Matthew Denniff; Alicja Nazgiewicz; Felix Eichinger; Bradley Godfrey; Andrzej Antczak; Maciej Glyda; Robert Król; Stephen Eyre; Jason Brown; Carlo Berzuini; John Bowes; Mark Caulfield; Ewa Zukowska-Szczechowska; Joanna Zywiec; Pawel Bogdanski; Matthias Kretzler; Adrian S Woolf; David Talavera; Bernard Keavney; Pasquale Maffia; Tomasz J Guzik; Raymond T O'Keefe; Gosia Trynka; Nilesh J Samani; Aroon Hingorani; Matthew G Sampson; Andrew P Morris; Fadi J Charchar; Maciej Tomaszewski
Journal:  Nat Genet       Date:  2021-05-06       Impact factor: 41.307

4.  Preimplantation Kidney Biopsies of Extended Criteria Donors Have a Heavier Inflammatory Burden Than Kidneys From Standard Criteria Donors.

Authors:  Camila M Mazeti-Felicio; Heloisa C Caldas; Ida M M Fernandes-Charpiot; Camila Z Dezotti; Maria A S F Baptista; Mario Abbud-Filho
Journal:  Transplant Direct       Date:  2017-06-23

5.  Molecular insights into genome-wide association studies of chronic kidney disease-defining traits.

Authors:  Xiaoguang Xu; James M Eales; Artur Akbarov; Hui Guo; Lorenz Becker; David Talavera; Fehzan Ashraf; Jabran Nawaz; Sanjeev Pramanik; John Bowes; Xiao Jiang; John Dormer; Matthew Denniff; Andrzej Antczak; Monika Szulinska; Ingrid Wise; Priscilla R Prestes; Maciej Glyda; Pawel Bogdanski; Ewa Zukowska-Szczechowska; Carlo Berzuini; Adrian S Woolf; Nilesh J Samani; Fadi J Charchar; Maciej Tomaszewski
Journal:  Nat Commun       Date:  2018-11-22       Impact factor: 14.919

6.  Oxalate deposition in renal allograft biopsies within 3 months after transplantation is associated with allograft dysfunction.

Authors:  Malou L H Snijders; Dennis A Hesselink; Marian C Clahsen-van Groningen; Joke I Roodnat
Journal:  PLoS One       Date:  2019-04-16       Impact factor: 3.240

Review 7.  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

8.  Utilization and Outcomes of Single and Dual Kidney Transplants from Older Deceased Donors in the United Kingdom.

Authors:  Maria Ibrahim; George H B Greenhall; Dominic M Summers; Lisa Mumford; Rachel Johnson; Richard J Baker; John Forsythe; Gavin J Pettigrew; Niaz Ahmad; Chris J Callaghan
Journal:  Clin J Am Soc Nephrol       Date:  2020-07-20       Impact factor: 8.237

9.  Procurement Biopsy Findings Versus Kidney Donor Risk Index for Predicting Renal Allograft Survival.

Authors:  Isaac E Hall; Chirag R Parikh; Bernd Schröppel; Francis L Weng; Yaqi Jia; Heather Thiessen-Philbrook; Peter P Reese; Mona D Doshi
Journal:  Transplant Direct       Date:  2018-07-16

10.  Comprehensive assessment of deceased donor kidneys with clinical characteristics, pre-implant biopsy histopathology and hypothermic mechanical perfusion parameters is highly predictive of delayed graft function.

Authors:  Jin Zheng; Xiaojun Hu; Xiaoming Ding; Yang Li; Chenguang Ding; Puxun Tian; Heli Xiang; Xinshun Feng; Xiaoming Pan; Hang Yan; Jun Hou; Xiaohui Tian; Zunwei Liu; Xuzhen Wang; Wujun Xue
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

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