| Autor: |
Alexis Piedrafita, Justyna Siwy, Julie Klein, Amal Akkari, Ana Amaya-garrido, Alexandre Mebazaa, Anna Belen Sanz, Benjamin Breuil, Laura Montero Herrero, Bertrand Marcheix, François Depret, Lucie Fernandez, Elsa Tardif, Vincent Minville, Melinda Alves, Jochen Metzger, Kidney Attack Study Group, Julia Grossac, Harald Mischak, Alberto Ortiz, Stéphane Gazut, Joost P. Schanstra, Stanislas Faguer, Nicolas Mayeur, Audrey Casemayou, François Labaste |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Critical Care, Vol 26, Iss 1, Pp 1-15 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1364-8535 |
| DOI: |
10.1186/s13054-022-04193-9 |
| Popis: |
Abstract Background The delayed diagnosis of acute kidney injury (AKI) episodes and the lack of specificity of current single AKI biomarkers hamper its management. Urinary peptidome analysis may help to identify early molecular changes in AKI and grasp its complexity to identify potential targetable molecular pathways. Methods In derivation and validation cohorts totalizing 1170 major cardiac bypass surgery patients and in an external cohort of 1569 intensive care unit (ICU) patients, a peptide-based score predictive of AKI (7-day KDIGO classification) was developed, validated, and compared to the reference biomarker urinary NGAL and NephroCheck and clinical scores. Results A set of 204 urinary peptides derived from 48 proteins related to hemolysis, inflammation, immune cells trafficking, innate immunity, and cell growth and survival was identified and validated for the early discrimination ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
Full text from SpringerLink