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doi:10.22028/D291-38963
Titel: | A Quantitative Systems Pharmacology Kidney Model of Diabetes Associated Renal Hyperfiltration and the Effects of SGLT Inhibitors |
VerfasserIn: | Balazki, Pavel Schaller, Stephan Eissing, Thomas Lehr, Thorsten |
Sprache: | Englisch |
Titel: | CPT: Pharmacometrics & Systems Pharmacology |
Bandnummer: | 7 |
Heft: | 12 |
Seiten: | 788-797 |
Verlag/Plattform: | Wiley |
Erscheinungsjahr: | 2018 |
DDC-Sachgruppe: | 500 Naturwissenschaften |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | The early stage of diabetes mellitus is characterized by increased glomerular filtration rate (GFR), known as hyperfiltration, which is believed to be one of the main causes leading to renal injury in diabetes. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have been shown to be able to reverse hyperfiltration in some patients. We developed a mechanistic computational model of the kidney that explains the interplay of hyperglycemia and hyperfiltration and integrates the pharmacokinetics/ pharmacodynamics (PK/PD) of the SGLT2i dapagliflozin. Based on simulation results, we propose kidney growth as the necessary process for hyperfiltration progression. Further, the model indicates that renal SGLT1i could significantly improve hyperfiltration when added to SGTL2i. Integrated into a physiologically based PK/PD (PBPK/PD) Diabetes Platform, the model presents a powerful tool for aiding drug development, prediction of hyperfiltration risk, and allows the assessment of the outcomes of individualized treatments with SGLT1-inhibitors and SGLT2-inhibitors and their co-administration with insulin. |
DOI der Erstveröffentlichung: | 10.1002/psp4.12359 |
URL der Erstveröffentlichung: | https://doi.org/10.1002/psp4.12359 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-389634 hdl:20.500.11880/35145 http://dx.doi.org/10.22028/D291-38963 |
ISSN: | 2163-8306 |
Datum des Eintrags: | 8-Feb-2023 |
Bezeichnung des in Beziehung stehenden Objekts: | Supporting Information |
In Beziehung stehendes Objekt: | https://ascpt.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fpsp4.12359&file=psp412359-sup-0001-FigS1.pdf https://ascpt.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fpsp4.12359&file=psp412359-sup-0002-FigS2.pdf https://ascpt.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fpsp4.12359&file=psp412359-sup-0003-TableS1.pdf https://ascpt.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fpsp4.12359&file=psp412359-sup-0004-TableS2.pdf https://ascpt.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fpsp4.12359&file=psp412359-sup-0005-TableS3.pdf https://ascpt.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fpsp4.12359&file=psp412359-sup-0006-DataS1.pdf https://ascpt.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fpsp4.12359&file=psp412359-sup-0007-DataS2.zip |
Fakultät: | NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | NT - Pharmazie |
Professur: | NT - Prof. Dr. Thorsten Lehr |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
CPT Pharmacom Syst Pharma - 2018 - Balazki - A Quantitative Systems Pharmacology Kidney Model of Diabetes Associated.pdf | 815,31 kB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons