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A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression

Biomarker discovery in the field of risk prediction in chronic kidney disease (CKD) embraces the prospect of improving our ability to risk stratify future adverse outcomes and thereby guide patient care in a new era of personalised medicine. However, many studies that report biomarkers predictive of...

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Detalles Bibliográficos
Autores principales: Ali, Ibrahim, Ibrahim, Sara T, Chinnadurai, Rajkumar, Green, Darren, Taal, Maarten, Whetton, Tony D, Kalra, Philip A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716058/
https://www.ncbi.nlm.nih.gov/pubmed/33311975
http://dx.doi.org/10.1177/1177271920976146
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author Ali, Ibrahim
Ibrahim, Sara T
Chinnadurai, Rajkumar
Green, Darren
Taal, Maarten
Whetton, Tony D
Kalra, Philip A
author_facet Ali, Ibrahim
Ibrahim, Sara T
Chinnadurai, Rajkumar
Green, Darren
Taal, Maarten
Whetton, Tony D
Kalra, Philip A
author_sort Ali, Ibrahim
collection PubMed
description Biomarker discovery in the field of risk prediction in chronic kidney disease (CKD) embraces the prospect of improving our ability to risk stratify future adverse outcomes and thereby guide patient care in a new era of personalised medicine. However, many studies that report biomarkers predictive of CKD progression share a key methodological limitation: failure to characterise patients’ renal progression precisely. This weakens any observable association between a biomarker and an outcome poorly defined by a patient’s change in renal function over time. In this commentary, we discuss the need for a better approach in this research arena and describe a compelling strategy that has the advantage of offering robust and meaningful biomarker exploration relevant to CKD progression.
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spelling pubmed-77160582020-12-10 A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression Ali, Ibrahim Ibrahim, Sara T Chinnadurai, Rajkumar Green, Darren Taal, Maarten Whetton, Tony D Kalra, Philip A Biomark Insights Commentary Biomarker discovery in the field of risk prediction in chronic kidney disease (CKD) embraces the prospect of improving our ability to risk stratify future adverse outcomes and thereby guide patient care in a new era of personalised medicine. However, many studies that report biomarkers predictive of CKD progression share a key methodological limitation: failure to characterise patients’ renal progression precisely. This weakens any observable association between a biomarker and an outcome poorly defined by a patient’s change in renal function over time. In this commentary, we discuss the need for a better approach in this research arena and describe a compelling strategy that has the advantage of offering robust and meaningful biomarker exploration relevant to CKD progression. SAGE Publications 2020-12-01 /pmc/articles/PMC7716058/ /pubmed/33311975 http://dx.doi.org/10.1177/1177271920976146 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Commentary
Ali, Ibrahim
Ibrahim, Sara T
Chinnadurai, Rajkumar
Green, Darren
Taal, Maarten
Whetton, Tony D
Kalra, Philip A
A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression
title A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression
title_full A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression
title_fullStr A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression
title_full_unstemmed A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression
title_short A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression
title_sort paradigm to discover biomarkers associated with chronic kidney disease progression
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716058/
https://www.ncbi.nlm.nih.gov/pubmed/33311975
http://dx.doi.org/10.1177/1177271920976146
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