Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney Diseases
Background: Chronic kidney disease affects 10% of the world population, and it is associated with progression to end-stage kidney disease and increased morbidity and mortality. The advent of multi-omics technologies has expanded our knowledge on the complexity of kidney diseases, revealing their fre...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Karger Publishers
2024-03-01
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| Series: | Kidney & Blood Pressure Research |
| Subjects: | |
| Online Access: | https://beta.karger.com/Article/FullText/538507 |
| _version_ | 1827278309405229056 |
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| author | Benedetta Mazzinghi Maria Elena Melica Laura Lasagni Paola Romagnani Elena Lazzeri |
| author_facet | Benedetta Mazzinghi Maria Elena Melica Laura Lasagni Paola Romagnani Elena Lazzeri |
| author_sort | Benedetta Mazzinghi |
| collection | DOAJ |
| description | Background: Chronic kidney disease affects 10% of the world population, and it is associated with progression to end-stage kidney disease and increased morbidity and mortality. The advent of multi-omics technologies has expanded our knowledge on the complexity of kidney diseases, revealing their frequent genetic etiology, particularly in children and young subjects. Genetic heterogeneity and drug screening require patient-derived disease models to establish a correct diagnosis and evaluate new potential treatments and outcomes. Summary: Patient-derived renal progenitors can be isolated from urine to set up proper disease modeling. This strategy allows to make diagnosis of genetic kidney disease in patients carrying unknown significance variants or uncover variants missed from peripheral blood analysis. Furthermore, urinary-derived tubuloids obtained from renal progenitors of patients appear to be potentially valuable for modeling kidney diseases to test ex vivo treatment efficacy or to develop new therapeutic approaches. Finally, renal progenitors derived from urine can provide insights into acute kidney injury and predict kidney function recovery and outcome. Key Messages: Renal progenitors derived from urine are a promising new noninvasive and easy-to-handle tool, which improves the rate of diagnosis and the therapeutic choice, paving the way toward a personalized healthcare. |
| first_indexed | 2024-04-24T07:54:07Z |
| format | Article |
| id | doaj.art-280452f276f34d03aec72eb0e118cc5e |
| institution | Directory Open Access Journal |
| issn | 1423-0143 |
| language | English |
| last_indexed | 2024-04-24T07:54:07Z |
| publishDate | 2024-03-01 |
| publisher | Karger Publishers |
| record_format | Article |
| series | Kidney & Blood Pressure Research |
| spelling | doaj.art-280452f276f34d03aec72eb0e118cc5e2024-04-18T07:17:48ZengKarger PublishersKidney & Blood Pressure Research1423-01432024-03-0149125826510.1159/000538507538507Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney DiseasesBenedetta Mazzinghi0Maria Elena Melica1Laura Lasagni2Paola Romagnani3Elena Lazzeri4Nephrology and Dialysis Unit, Meyer Children’s Hospital IRCCS, Florence, ItalyDepartment of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, ItalyDepartment of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, ItalyNephrology and Dialysis Unit, Meyer Children’s Hospital IRCCS, Florence, ItalyDepartment of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, ItalyBackground: Chronic kidney disease affects 10% of the world population, and it is associated with progression to end-stage kidney disease and increased morbidity and mortality. The advent of multi-omics technologies has expanded our knowledge on the complexity of kidney diseases, revealing their frequent genetic etiology, particularly in children and young subjects. Genetic heterogeneity and drug screening require patient-derived disease models to establish a correct diagnosis and evaluate new potential treatments and outcomes. Summary: Patient-derived renal progenitors can be isolated from urine to set up proper disease modeling. This strategy allows to make diagnosis of genetic kidney disease in patients carrying unknown significance variants or uncover variants missed from peripheral blood analysis. Furthermore, urinary-derived tubuloids obtained from renal progenitors of patients appear to be potentially valuable for modeling kidney diseases to test ex vivo treatment efficacy or to develop new therapeutic approaches. Finally, renal progenitors derived from urine can provide insights into acute kidney injury and predict kidney function recovery and outcome. Key Messages: Renal progenitors derived from urine are a promising new noninvasive and easy-to-handle tool, which improves the rate of diagnosis and the therapeutic choice, paving the way toward a personalized healthcare.https://beta.karger.com/Article/FullText/538507renal progenitorsdisease modelsgenetic kidney diseaseacute kidney injurychronic kidney disease |
| spellingShingle | Benedetta Mazzinghi Maria Elena Melica Laura Lasagni Paola Romagnani Elena Lazzeri Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney Diseases Kidney & Blood Pressure Research renal progenitors disease models genetic kidney disease acute kidney injury chronic kidney disease |
| title | Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney Diseases |
| title_full | Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney Diseases |
| title_fullStr | Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney Diseases |
| title_full_unstemmed | Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney Diseases |
| title_short | Renal Progenitors Derived from Urine for Personalized Diagnosis of Kidney Diseases |
| title_sort | renal progenitors derived from urine for personalized diagnosis of kidney diseases |
| topic | renal progenitors disease models genetic kidney disease acute kidney injury chronic kidney disease |
| url | https://beta.karger.com/Article/FullText/538507 |
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