Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Impact of Antiglycemic & Immunosuppressive Therapies on NETosis in Diabetes & Kidney Disease (NETs - Neutrophil Traps)

Western Galilee Hospital-Nahariya · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
diabetes-mellitusglomerulonephritis
This study aims to investigate whether new glucose-lowering medications, such as SGLT2 inhibitors (e.g., Forxiga/Jardiance) and GLP-1 receptor agonists (e.g., Ozempic), can reduce NETosis in diabetic patients, thereby mitigating secondary complications such as cardiovascular disease and kidney damage. By targeting dysregulated NET formation, the study seeks to establish a link between reduced NETosis and improved clinical outcomes in diabetes. Additionally, the study will evaluate the effects of immunosuppressive therapies on NETosis in patients with immune-mediated kidney diseases, such as ANCA-associated vasculitis. By correlating NETosis activity with disease progression and treatment response, this research will assess whether reducing NETosis contributes to better management of inflammation and secondary morbidity in these conditions. Through these evaluations, the study aims to identify potential therapeutic strategies to improve outcomes in both diabetic and chronic kidney disease populations.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1477645
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive