Ibrahim Ali
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
Authors
Sara T Ibrahim
Rajkumar Chinnadurai
Darren Green
Professor MAARTEN TAAL M.TAAL@NOTTINGHAM.AC.UK
PROFESSOR OF MEDICINE
Tony D Whetton
Philip A Kalra
Abstract
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.
Citation
Ali, I., Ibrahim, S. T., Chinnadurai, R., Green, D., Taal, M., Whetton, T. D., & Kalra, P. A. (2020). A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression. Biomarker Insights, 15, 117727192097614. https://doi.org/10.1177/1177271920976146
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 2, 2020 |
Online Publication Date | Dec 1, 2020 |
Publication Date | 2020-01 |
Deposit Date | Dec 4, 2020 |
Publicly Available Date | Dec 4, 2020 |
Journal | Biomarker Insights |
Electronic ISSN | 1177-2719 |
Publisher | Libertas Academica |
Peer Reviewed | Peer Reviewed |
Volume | 15 |
Pages | 117727192097614 |
DOI | https://doi.org/10.1177/1177271920976146 |
Keywords | Molecular Medicine; Pharmacology; Biochemistry, medical |
Public URL | https://nottingham-repository.worktribe.com/output/5100266 |
Publisher URL | https://journals.sagepub.com/doi/10.1177/1177271920976146 |
Additional Information | Ali, I., Ibrahim, S. T., Chinnadurai, R., Green, D., Taal, M., Whetton, T. D., & Kalra, P. A. (2020). A Paradigm to Discover Biomarkers Associated With Chronic Kidney Disease Progression. Biomarker Insights, 15, 117727192097614. https://doi.org/10.1177/1177271920976146 |
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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