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Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.
El-Achkar, Tarek M; Eadon, Michael T; Kretzler, Matthias; Himmelfarb, Jonathan.
Afiliação
  • El-Achkar TM; Division of Nephrology, School of Medicine, Indiana University, and Richard L. Roudebush Veteran Affairs Medical Center, Indianapolis, Indiana.
  • Eadon MT; Division of Nephrology, School of Medicine, Indiana University, and Richard L. Roudebush Veteran Affairs Medical Center, Indianapolis, Indiana.
  • Kretzler M; Department of Computational Medicine & Bioinformatics, and Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Himmelfarb J; Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, Washington. Electronic address: himmej@uw.edu.
Am J Kidney Dis ; 83(3): 402-410, 2024 Mar.
Article em En | MEDLINE | ID: mdl-37839688
ABSTRACT
Chronic kidney disease (CKD) and acute kidney injury (AKI) are heterogeneous syndromes defined clinically by serial measures of kidney function. Each condition possesses strong histopathologic associations, including glomerular obsolescence or acute tubular necrosis, respectively. Despite such characterization, there remains wide variation in patient outcomes and treatment responses. Precision medicine efforts, as exemplified by the Kidney Precision Medicine Project (KPMP), have begun to establish evolving, spatially anchored, cellular and molecular atlases of the cell types, states, and niches of the kidney in health and disease. The KPMP atlas provides molecular context for CKD and AKI disease drivers and will help define subtypes of disease that are not readily apparent from canonical functional or histopathologic characterization but instead are appreciable through advanced clinical phenotyping, pathomic, transcriptomic, proteomic, epigenomic, and metabolomic interrogation of kidney biopsy samples. This perspective outlines the structure of the KPMP, its approach to the integration of these diverse datasets, and its major outputs relevant to future patient care.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Injúria Renal Aguda / Nefrologia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Injúria Renal Aguda / Nefrologia Idioma: En Ano de publicação: 2024 Tipo de documento: Article