Urinary Proteomics to Guide Early Intervention to Prevent Complications in Type 2 Diabetes - a Feasibility Study
SIGNAL
SIGNAL - Body Fluid Proteome SIGnatures for persoNALised Intervention to Prevent Cardiovascular and Renal Complications in Diabetes
2 other identifiers
interventional
50
1 country
1
Brief Summary
Title: Body fluid proteome SIGnatures for persoNALised intervention to prevent cardiovascular and renal complications in diabetes. Aim: To explore the feasibility of using urinary proteomic risk scores in clinical practice to identify patients at risk of developing end organ damage and identify which patients should receive additional renocardiovascular protective treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for phase_4
Started Nov 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 14, 2025
CompletedFirst Posted
Study publicly available on registry
May 1, 2025
CompletedStudy Start
First participant enrolled
November 20, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 31, 2027
December 22, 2025
November 1, 2025
1 year
April 14, 2025
December 15, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Proteomic feasibility
Achieve urine proteomic results within 2 weeks of sampling for at least 90% of the participants in clinical practice.
2 weeks from sampling
Evaluation of medical treatment
Ensure that urine proteomic results are interpreted for evaluating medical treatment in at least 90% of participants.
3 weeks from sampling
Secondary Outcomes (2)
Urine Albumin-to-Creatinine Ratio
Over the 6 month of the follow up from screening visit to the end of study.
Urinary proteomic signatures
Over the 6 month of the follow up from screening visit to the end of study.
Other Outcomes (1)
Assessment of health economics
6 months from all participent data is collected
Study Arms (3)
Semaglutide
ACTIVE COMPARATOR3 urine proteomic risk scores will be measured in the study. The CKD273 urine proteomic risk score, a well-established tool used to predict the risk of chronic kidney disease (CKD) progression, CAD160 urine proteomic risk score to predict the risk of coronary artery disease (CAD) and HF2 urine proteomic classifier to predict the risk of heart failure (HF). In addition a Support Vector Machine (SVM), a supervised machine learning algorithm will perform in silico treatment simulations and calculate the change in classification scores for 3 different potential interventions: GLP1-RA semaglutide, SGT2-i dapagliflozin and GLP1-RA finerenone. Based on these changes (with the largest beneficial change indicating the most effective treatment), the most suitable intervention can be selected and the participent will be allocated.
Finerenone
ACTIVE COMPARATOR3 urine proteomic risk scores will be measured in the study. The CKD273 urine proteomic risk score, a well-established tool used to predict the risk of chronic kidney disease (CKD) progression, CAD160 urine proteomic risk score to predict the risk of coronary artery disease (CAD) and HF2 urine proteomic classifier to predict the risk of heart failure (HF). In addition a Support Vector Machine (SVM), a supervised machine learning algorithm will perform in silico treatment simulations and calculate the change in classification scores for 3 different potential interventions: GLP1-RA semaglutide, SGT2-i dapagliflozin and GLP1-RA finerenone. Based on these changes (with the largest beneficial change indicating the most effective treatment), the most suitable intervention can be selected and the participent will be allocated.
Dapagliflozin
ACTIVE COMPARATOR3 urine proteomic risk scores will be measured in the study. The CKD273 urine proteomic risk score, a well-established tool used to predict the risk of chronic kidney disease (CKD) progression, CAD160 urine proteomic risk score to predict the risk of coronary artery disease (CAD) and HF2 urine proteomic classifier to predict the risk of heart failure (HF). In addition a Support Vector Machine (SVM), a supervised machine learning algorithm will perform in silico treatment simulations and calculate the change in classification scores for 3 different potential interventions: GLP1-RA semaglutide, SGT2-i dapagliflozin and GLP1-RA finerenone. Based on these changes (with the largest beneficial change indicating the most effective treatment), the most suitable intervention can be selected and the participent will be allocated.
Interventions
Semaglutide will be introduced at a dose of 0.25 mg/week subcutaneous injection, escalated to 0.5 and 1.0 mg/week after 4 and 8 weeks if tolerated.
Finerenone will be introduced at a dose of 10 mg/day in patients with a serum potassium level \< 4.8 mmol/l and eGFR \< 60 ml/min/1.73 m2 and escalated to 20 mg/day after 4 weeks if the serum potassium level is still \< 4.8 mmol/l. Starting dose is 20 mg/day if eGFR ≥ 60 ml/min/1.73 m2. The dosage will be reduced or discontinued in patients who develop hyperkalemia (serum potassium \> 5.5 mmol/l).
Dapagliflozin will be introduced at a dose of 10 mg/day. The dose can be reduced at any time during the trial if required by the subject's tolerance to the product.
Eligibility Criteria
You may qualify if:
- Men and women over 18 years of age.
- Type 2 diabetes with no clinical signs of HF NYHA Class IV
- Able to understand the written participant information and give informed consent.
You may not qualify if:
- Heart failure NYHA class IV at screening
- Moderately - or severely increased albuminuria with a UACR ≥ 200 mg/g or CKD with an eGFR \< 30 ml/min/1.73m2 at the screening visit.
- A female who is pregnant, breastfeeding, or intends to become pregnant, or women of childbearing potential (WOCBP) who are not using highly effective contraceptive methods.
- Receiving therapy with all three of the study medication prior to enrolment.
- Myocardial infarction, unstable angina, stroke, or transient ischemic attack within 12 weeks prior to enrolment
- Known or suspected hypersensitivity to the study medications or related products
- History of pancreatitis at the screening visit
- Body mass index \< 18.5 kg/m2 at the screening visit
- Type 1 diabetes
- Serum potassium \> 5.0 mmol/L at the screening visit
- Addison's Disease
- Concomitant treatment with strong CYP3A4 inhibitors (e.g., itraconazole, ketoconazole, ritonavir, nelfinavir, cobicistat, clarithromycin, telithromycin, nefazodone)
- Treatment with a potassium-sparing diuretic (amiloride, triamterene)
- Treatment with other mineralocorticoid receptor antagonist than finerenone (e.g., spironolactone, eplerenone, esaxerenone, canrenone)
- Elevated Alanine Aminotransferase (ALT) \> 3x upper normal limit, autoimmune hepatitis, and/or severe hepatic impairment (including but not limited to a history of hepatic encephalopathy, a history of oesophageal varices or a history of portocaval shunt.)
- +8 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Steno Diabetes Center Copenhagenlead
- Mosaiques Diagnostics GmbHcollaborator
Study Sites (1)
Steno Diabetes Center Copenhagen
Herlev, Hajdú-Bihar, 2730, Denmark
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Peter Rossing, Clinical Professor
Steno Diabetes Center Copenhagen
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 14, 2025
First Posted
May 1, 2025
Study Start
November 20, 2025
Primary Completion (Estimated)
November 30, 2026
Study Completion (Estimated)
May 31, 2027
Last Updated
December 22, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will not share