Impact of Antiglycemic & Immunosuppressive Therapies on NETosis in Diabetes & Kidney Disease (NETs - Neutrophil Traps)
NETs
Evaluating the Effect of Hemodialysis Modality and New Anti-glycemic Drugs on NETosis on in Hemodialysis and Diabetic Patient, and Assessment of NETosis in Various Kidney Diseases
1 other identifier
observational
70
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started May 2024
Longer than P75 for all trials
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
Study Start
First participant enrolled
May 13, 2024
CompletedFirst Submitted
Initial submission to the registry
January 26, 2025
CompletedFirst Posted
Study publicly available on registry
February 12, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2030
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 30, 2031
February 12, 2025
February 1, 2025
6.6 years
January 26, 2025
February 10, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
NETosis marker- citrullinated histone H3 (citH3)
* NETosis markers: NET formation will be assessed in sera blood samples across all groups. * Focus on Naïve Patients: Emphasis will be placed on evaluating the initial effects of antiglycemic medications in diabetic patients and the impact of immunosuppressive therapy in CKD patients with immune-mediated diseases. * Samples will be collected at identical intervals and compared among diabetic andCKD, groups to assess differences in NETosis levels over time (controls- only baseline NETosis markers) and in response to treatment. All serum samples will be diluted 1:2 and citrullinated histone H3 (citH3) will be quantified using the Citrullinated Histone H3 ELISA Kit: O.D. (501620; Cayman Chemical, Ann Arbor, USA).
Before treatment, 1,2 , 3, 6 and 12 months after starting anti-diabetic drugs or immunosuppression
NETosis marker- Myeloperoxidase
Samples will be collected at identical intervals and compared among diabetic andCKD, groups to assess differences in NETosis levels over time (controls- only baseline NETosis markers) and in response to treatment. All serum samples will be diluted 1:2 . MPO measurement will be conducted using Myeloperoxidase ELISA Kit , ng/ml (501410; Cayman Chemical).
Before treatment, 1,2,3,6 and12 moths after treatment.
NETosis marker- Neutrophil elastase (NE)
Samples will be collected at identical intervals and compared among diabetic andCKD, groups to assess differences in NETosis levels over time (controls- only baseline NETosis markers) and in response to treatment. All serum samples will be diluted 1:2 , and NE measurement will be conducted using Human Neutrophil Elastase ELISA Kit, ng/ml (ab204730; Abcam
Before treatment, 1,2 , 3, 6 and 12 months after starting anti-diabetic drugs or immunosuppression
NETosis marker: Peptidylarginine deiminase 4-PAD4
Samples will be collected at identical intervals and compared among diabetic andCKD, groups to assess differences in NETosis levels over time (controls- only baseline NETosis markers) and in response to treatment. All serum samples will be diluted 1:2 and PAD4 measurement will be conducted using (PADI4 ELISA Kit, ng/ml (ELH-PADI4, RayBiotech) according to the manufacturer's instructions
Before treatment, 1,2 , 3, 6 and 12 months after starting anti-diabetic drugs or immunosuppression
Secondary Outcomes (4)
Kidney function
Before treatment, 1,2 , 3, 6 and 12 months, and each year (during 5 years) after starting anti-diabetic drugs or immunosuppression therapy.
Urine protein/ creatinine ratio
Before treatment, 1,2 , 3, 6 and 12 months, and each year (during 5 years) after starting anti-diabetic drugs or immunosuppression therapy
Major adverse cardiovascular events (MACE)
1,2 , 3, 6 and 12 months, and each year (during 5 years) after starting anti-diabetic drugs or immunosuppression therapy
All cause mortality
1,2 , 3, 6 and 12 months, and each year (during 5 years) after starting anti-diabetic drugs or immunosuppression therapy
Study Arms (3)
Diabetes mellitus patients
2\. Diabetic Patients (DM Therapy Study) * Sample Size: 20 diabetic patients. * Group 1: 10 patients treated with Forxiga/Jardiance (SGLT2 inhibitors). * Group 2: 10 patients treated with Ozempic (GLP-1 agonist). * Patient Criteria: o Patients naïve to SGLT2 inhibitors and GLP-1 receptor agonists to ensure the observed effects are attributable to the initiation of these therapies. * Sample Collection: * Serum samples (6 ml in serum separator tubes). * Two tubes (12 ml total) will be collected per participant at each time point: Before starting treatment and at 1, 2, 3, 6, and 12 months after initiating medication. * Inclusion Criteria: * Diabetic patients aged 18 years or older (men and women). * Patients who have not previously received SGLT2 inhibitors or GLP-1 receptor agonists. * Exclusion Criteria: * Patients with conditions affecting NETosis, including autoimmunity, hematologic or oncologic diseases, or positive for HIV or Hepatitis B/C.
Chronic kidney disease (CKD) patients
Chronic Kidney Disease (CKD) Patients (Evaluation of Immunosuppressive Therapy) * Sample Size: 50 CKD patients with various etiologies. * Focus: o This part of the study will specifically evaluate immune-mediated kidney disease, such as ANCA-associated vasculitis, and the effects of immunosuppressive therapy on NETosis. * Objective: * Assess NETosis markers (e.g., cfDNA, Cit-H3, MPO, NE) before initiating immunosuppressive treatment and at 1, 2, 3, 6, and 12 months of therapy. * Correlate NETosis dynamics with clinical variables, including disease activity, renal function, and inflammatory markers. * Sample Collection: o Serum samples (6 ml in serum separator tubes). o Two tubes (12 ml total) will be collected per participant at each time point: Before starting treatment and at 1, 2, 3, 6, and 12 months after initiating medication. * Exclusion Criteria: * Patients with acute infections, hematologic or oncologic diseases, or positive for HIV or Hepatitis B/C.
10 healthy participants will be recruited to the control group (for both studies).
Control Group * Sample Size: 10 healthy participants. * Objective: o Serve as controls for both the diabetic and CKD studies. * Sample Collection: * Two tubes (12 ml total) will be collected per participant * Eligibility: * Healthy individuals without underlying medical conditions.
Eligibility Criteria
DM therapy study: - Diabetic patients aged 18 years or older (men and women). * Patients who have not previously received SGLT2 inhibitors or GLP-1 receptor agonists. • Exclusion Criteria: * Patients with conditions affecting NETosis, including autoimmunity, hematologic or oncologic diseases, or positive for HIV or Hepatitis B/C. Chronic kidney disease (CKD) patients :This study will include 50 CKD patients with various etiologies, with a focus on those with immune-mediated kidney diseases, such as ANCA-associated vasculitis. The primary aim is to evaluate the effects of immunosuppressive therapy on NETosis. All patients will be naïve to prior immunosuppressive therapy to ensure the observed effects are directly attributable to the initiation of treatment. • Exclusion Criteria: o Patients with acute infections, hematologic or oncologic diseases, or positive for HIV or Hepatitis B/C
You may qualify if:
- DM therapy study: - Diabetic patients aged 18 years or older (men and women).
- Patients who have not previously received SGLT2 inhibitors or GLP-1 receptor agonists.
- Chronic kidney disease (CKD) patients :50 CKD patients with various etiologies.
- Focus:
- This part of the study will specifically evaluate immune-mediated kidney disease, such as ANCA-associated vasculitis, and the effects of immunosuppressive therapy on NETosis.
You may not qualify if:
- Patients with acute infections, hematologic or oncologic diseases, or positive for HIV or Hepatitis B/C
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Galilee Medical Center
Nahariya, 2210001, Israel
Biospecimen
Serum samples to examine NETosis markers
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Director of the Nephrology Department
Study Record Dates
First Submitted
January 26, 2025
First Posted
February 12, 2025
Study Start
May 13, 2024
Primary Completion (Estimated)
December 30, 2030
Study Completion (Estimated)
December 30, 2031
Last Updated
February 12, 2025
Record last verified: 2025-02
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
All anonymized data collected during the study will be made available upon reasonable request. This ensures transparency and allows for independent validation of the findings while protecting participant privacy. Identifiable information will be removed, and data will only be shared in a de-identified format, ensuring that participants cannot be traced back based on the shared data. Access to the anonymized dataset will require approval from the principal investigator to ensure appropriate use and adherence to ethical standards.