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11/22/2017 11:20:55 PM | Browse: 210 | Download: 406
Publication Name World Journal of Transplantation
Manuscript ID 34713
Country Singapore
Category Transplantation
Manuscript Type Editorial
Article Title Biomarkers and a tailored approach for immune monitoring in kidney transplantation
Manuscript Source Invited Manuscript
All Author List Francisco Salcido-Ochoa and John Carson Allen Jr
Funding Agency and Grant Number
Corresponding Author Francisco Salcido-Ochoa, MD, MRCP, MSc, PhD, Francisco Kidney and Medical Centre, Mount Elizabeth Novena Hospital, 38 Irrawaddy Road, Singapore 329563, Singapore. fsalcidoochoa@gmail.com
Key Words Acute rejection; Banff classification; Biomarker; Human leukocyte antigen matching; Immune monitoring; Immunological risk; Kidney transplantation; Protocol biopsy
Core Tip In kidney transplantation, a multitude of biomarkers have been proposed to predict transplant rejection versus non-rejection, but few - if any - have gained acceptance as reliable tools for predicting rejection. However, an approach more likely to be successful would include improved timing of kidney transplant biopsies and judicious use of multiple diagnostic methodologies based on different immune risks and events throughout transplantation. This approach could also aid in improving diagnostic and prognostic kidney transplantation procedures and in developing more impactful therapeutic options.
Citation Salcido-Ochoa F, Allen JC Jr. Biomarkers and a tailored approach for immune monitoring in kidney transplantation. World J Transplant 2017; 7(6): 276-284
Received
2017-05-18 00:25
Peer-Review Started
2017-05-23 00:32
To Make the First Decision
2017-07-10 00:48
Return for Revision
2017-07-20 01:58
Revised
2017-08-29 15:42
Second Decision
2017-10-13 06:01
Accepted by Journal Editor-in-Chief
2017-10-15 14:07
Accepted by Company Editor-in-Chief
2017-11-22 23:20
Articles in Press
2017-11-22 23:20
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2017-12-11 09:03
ISSN 2220-3230 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved.
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