Combined use of GM2AP and TCP1-eta urinary levels predicts recovery from intrinsic acute kidney injury
| العنوان: | Combined use of GM2AP and TCP1-eta urinary levels predicts recovery from intrinsic acute kidney injury |
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| المؤلفون: | Sandra M. Sancho-Martínez, Consuelo Agüeros-Blanco, Víctor Blanco-Gozalo, Marta Prieto, Alfredo G. Casanova, Manuel Arias, Yaremi Quiros, Francisco J. López-Hernández, Adalberto Benito-Hernández, Carlos Martínez-Salgado, C. Gómez-Alamillo, Ana I. Morales, M.A. Ramos-Barron |
| المصدر: | Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020) Scientific Reports |
| بيانات النشر: | Nature Publishing Group, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Nephrology, Male, medicine.medical_specialty, Urinary system, 030232 urology & nephrology, lcsh:Medicine, 030204 cardiovascular system & hematology, Kidney, urologic and male genital diseases, Article, 03 medical and health sciences, 0302 clinical medicine, Medical research, Internal medicine, medicine, Humans, Cell Lineage, Intensive care medicine, lcsh:Science, Pathological, Multidisciplinary, Kidney diseases, business.industry, G(M2) Activator Protein, lcsh:R, Acute kidney injury, Acute Kidney Injury, Middle Aged, medicine.disease, female genital diseases and pregnancy complications, Pleiotropy (drugs), Cohort, Etiology, Biomarker (medicine), Female, lcsh:Q, business, Biomarkers, Chaperonin Containing TCP-1 |
| الوصف: | Deficient recovery from acute kidney injury (AKI) has immediate and long-term health, clinical and economic consequences. Pre-emptive recovery estimation may improve nephrology referral, optimize decision making, enrollment in trials, and provide key information for subsequent clinical handling and follow-up. For this purpose, new biomarkers are needed that predict outcome during the AKI episode. We hypothesized that damage pattern-specific biomarkers are expected to more closely associate to outcome within distinct subpopulations (i.e. those affected by specific pathological processes determining a specific outcome), as biomarker pleiotropy (i.e. associated to phenomena unrelated to AKI) introduced by unselected, heterogeneous populations may blur statistics. A panel of urinary biomarkers was measured in patients with AKI and their capacity to associate to normal or abnormal recovery was studied in the whole cohort or after sub-classification by AKI etiology, namely pre-renal and intrinsic AKI. A combination of urinary GM2AP and TCP1-eta best associates with recovery from AKI, specifically within the sub-population of renal AKI patients. This two-step strategy generates a multidimensional space in which patients with specific characteristics (i.e. renal AKI patients with good or bad prognosis) can be identified based on a collection of biomarkers working serially, applying pathophysiology-driven criteria to estimate AKI recovery, to facilitate pre-emptive and personalized handling. |
| اللغة: | English |
| تدمد: | 2045-2322 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0da557ff7f89d1f905031ebd5453dc4Test http://link.springer.com/article/10.1038/s41598-020-68398-0Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....d0da557ff7f89d1f905031ebd5453dc4 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20452322 |
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