Diabetes Mellitus, Type 1 Clinical Trial
Official title:
PeRsOnalising Treatment Of Diabetic Nephropathy: From Albuminuria to Multidimensional Characterisation of Diabetic Nephropathy - a Cross-sectional Study
Background: Today diabetic nephropathy is a frequent, and the most lethal and costly
complication of diabetes. Although treating blood pressure with agents blocking renin
angiotensin system has improved outcome, the prognosis is still poor and no new interventions
have been successful during the past decade. There is an urgent need for discovery of new
pathways behind the development and progression of diabetic nephropathy as well as of
biomarkers which can identify subjects at risk of developing adverse events. Objective: By
using a multidimensional 'omics' approach, we aim to search for novel proteins, metabolites
and pathways that will point to the putative new mechanisms which underlie the early renal
decline.
Design: Cross-sectional study, with long-term register-based follow-up. Study population: 160
patients with type 1 diabetes recruited from Steno Diabetes Center Copenhagen stratified
based on stage of diabetic kidney disease, and 50 healthy non-diabetic controls. Endpoints:
Primary endpoint: Glycocalyx thickness, assessed as perfused boundary region. Secondary
endpoints: Gut microbiome characterisation and markers of gastrointestinal inflammation,
autonomic and periphery neuropathy, urine and plasma Flow Cytometry Analysis (FACS),
metabolomics and proteomics in plasma and urine, and other potential biomarkers.
Design: Cross-sectional study, with long-term register-based follow-up. Study population: 160 patients with type 1 diabetes recruited from Steno Diabetes Center Copenhagen stratified based on stage of diabetic kidney disease, and 50 healthy non-diabetic controls. Endpoints: Primary endpoint: Glycocalyx thickness, assessed as perfused boundary region. Secondary endpoints: Gut microbiome characterisation and markers of gastrointestinal inflammation, autonomic and periphery neuropathy, urine and plasma Flow Cytometry Analysis (FACS), metabolomics and proteomics in plasma and urine, and other potential biomarkers. ;
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