Biorepository of Biospecimen Samples in Matched Healthy Control Participants and Participants Diagnosed With Diabetic Kidney Disease, Chronic Kidney Disease, or Type 2 Diabetes
SAN-08961
1 other identifier
observational
40
1 country
1
Brief Summary
The Investigators will generate a repository of human biosamples across therapeutic areas that will be used to identify disease-associated biomarkers and potential targets with immune and multi-omics profiling. This sample collection and analysis from people living with type 2 diabetes, or chronic or diabetic kidney disease will lay the groundwork for an extensive network of biosample access and linked datasets that will provide an invaluable resource for translational research.
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 Dec 2022
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 15, 2022
CompletedFirst Posted
Study publicly available on registry
November 30, 2022
CompletedStudy Start
First participant enrolled
December 15, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 23, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
August 23, 2023
CompletedOctober 3, 2023
October 1, 2023
8 months
November 15, 2022
October 2, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
collect biospecimen samples
The study objective is to collect biospecimen samples (e.g., blood and urine) from participants diagnosed with diabetic kidney disease, chronic kidney disease, or type 2 diabetes. These samples will be used to generate a repository of human biosamples across therapeutic areas that will be used to identify disease-associated biomarkers and potential targets with immune and multi-omics profiling. This sample collection and analysis from people living with type 2 diabetes, or chronic or diabetic kidney disease will lay the groundwork for an extensive network of biosample access and linked datasets that will provide an invaluable resource for translational research.
7 months
Study Arms (4)
Diabetic Kidney Disease
Sample Collection: * Whole blood will be collected in 3 x 5 mL SST tubes. The samples will be centrifuged into 5 x 1 mL serum aliquots. The aliquots will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Whole blood will be collected in 4 x 10 mL and 1 x 4 mL sodium heparin tubes. The samples will be shipped ambient overnight to Sanguine Labs via FedEx Priority Overnight by 10:30 am. Sanguine Labs will process the samples for PBMC isolations at 10 million cells per aliquot. Samples will be stored for batch shipment at the end of the study. The PBMC aliquot(s) will be shipped overnight using liquid nitrogen (LN2) to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Urine will be collected using a Vacuette collection device. The sample will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30
Chronic Kidney Disease
Sample Collection: * Whole blood will be collected in 3 x 5 mL SST tubes. The samples will be centrifuged into 5 x 1 mL serum aliquots. The aliquots will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Whole blood will be collected in 4 x 10 mL and 1 x 4 mL sodium heparin tubes. The samples will be shipped ambient overnight to Sanguine Labs via FedEx Priority Overnight by 10:30 am. Sanguine Labs will process the samples for PBMC isolations at 10 million cells per aliquot. Samples will be stored for batch shipment at the end of the study. The PBMC aliquot(s) will be shipped overnight using liquid nitrogen (LN2) to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Urine will be collected using a Vacuette collection device. The sample will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30 am
Type 2 Diabetes
Sample Collection: * Whole blood will be collected in 3 x 5 mL SST tubes. The samples will be centrifuged into 5 x 1 mL serum aliquots. The aliquots will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Whole blood will be collected in 8 x 10 mL and 1 x 4 mL sodium heparin tubes. The samples will be shipped ambient overnight to Sanguine Labs via FedEx Priority Overnight by 10:30 am. Sanguine Labs will process the samples for PBMC isolations at 10 mL cells per aliquot. Samples will be stored for batch shipment at the end of the study. The PBMC aliquot(s) will be shipped overnight using liquid nitrogen (LN2) to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Urine will be collected using a Vacuette collection device. The sample will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30 am.
Healthy Matched Controls
Sample Collection: * Whole blood will be collected in 3 x 5 mL SST tubes. The samples will be centrifuged into 5 x 1 mL serum aliquots. The aliquots will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Whole blood will be collected in 16 x 10 mL and 1 x 4 mL sodium heparin tubes. The samples will be shipped ambient overnight to Sanguine Labs via FedEx Priority Overnight by 10:30 am. Sanguine Labs will process the samples for PBMC isolations at 10 mL cells per aliquot. Samples will be stored for batch shipment at the end of the study. The PBMC aliquot(s) will be shipped overnight using liquid nitrogen (LN2) to Novo Nordisk via FedEx Priority Overnight by 10:30 am. * Urine will be collected using a Vacuette collection device. The sample will be shipped frozen (with dry ice) overnight to Novo Nordisk via FedEx Priority Overnight by 10:30 am.
Eligibility Criteria
Patients diagnosed with Diabetic Kidney Disease, Chronic Kidney Disease, and Diabetes Type 2. The 4th cohort will be a healthy match cohort of patients: 2 of the disease cohorts will have 3 healthy matched patieints and the final disease cohort (unspecified) will have 4 healthy patients matched.
You may qualify if:
- The participant is willing and able to provide written informed consent
- The participant is willing and able to provide appropriate photo identification
- Participants aged 18 to 85
You may not qualify if:
- Participants who are pregnant or are nursing
- Participants with a known history of HIV, hepatitis, or other infectious diseases
- Participants who have taken an investigational product in the last 30 days
- Participants who have experienced excess blood loss, including blood donation, defined as 250 mL in the last month or 500 mL in the previous two months
- Cohort 2: Chronic Kidney Disease
- The participant is willing and able to provide written informed consent
- The participant is willing and able to provide appropriate photo identification
- Participants aged 18 to 85
- Participants have been diagnosed with chronic kidney disease.
- Participants who are pregnant or are nursing
- Participants with a known history of HIV, hepatitis, or other infectious diseases
- Participants who have taken an investigational product in the last 30 days
- Participants who have experienced excess blood loss, including blood donation, defined as 250 mL in the last month or 500 mL in the previous two months
- Participants have been diagnosed with acute kidney disease or diabetic kidney disease
- Cohort 3: Type 2 Diabetes
- +16 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Sanguine Bioscienceslead
- Novo Nordisk A/Scollaborator
Study Sites (1)
Sanguine Biosciences, Inc.
Woburn, Massachusetts, 01801, United States
Related Publications (12)
National Institute of Health (NIH): National Center for Advancing Translational Sciences. Understanding Translational Research Tools: Biorepository. Accessed: 19 October 2022. https://toolkit.ncats.nih.gov/module/discovery/developing-translational-research-tools/biorepository/
BACKGROUNDSiwek M. An Overview of Biorepositories-Past, Present, and Future. Mil Med. 2015 Oct;180(10 Suppl):57-66. doi: 10.7205/MILMED-D-15-00119.
PMID: 26444893BACKGROUNDStrimbu K, Tavel JA. What are biomarkers? Curr Opin HIV AIDS. 2010 Nov;5(6):463-6. doi: 10.1097/COH.0b013e32833ed177.
PMID: 20978388BACKGROUNDQuezada H, Guzman-Ortiz AL, Diaz-Sanchez H, Valle-Rios R, Aguirre-Hernandez J. Omics-based biomarkers: current status and potential use in the clinic. Bol Med Hosp Infant Mex. 2017 May-Jun;74(3):219-226. doi: 10.1016/j.bmhimx.2017.03.003. Epub 2017 May 10.
PMID: 29382490BACKGROUNDKreeger K. Immune Profiling: A New Opportunity for Drug Development. Penn Medicine News. February 14, 2019. Accessed: 20 October 2022. https://www.pennmedicine.org/news/news-blog/2019/february/immune-profiling-a-new-opportunity-for-drug-development
BACKGROUNDChuah S, Chew V. High-dimensional immune-profiling in cancer: implications for immunotherapy. J Immunother Cancer. 2020 Feb;8(1):e000363. doi: 10.1136/jitc-2019-000363.
PMID: 32034066BACKGROUNDOlivier M, Asmis R, Hawkins GA, Howard TD, Cox LA. The Need for Multi-Omics Biomarker Signatures in Precision Medicine. Int J Mol Sci. 2019 Sep 26;20(19):4781. doi: 10.3390/ijms20194781.
PMID: 31561483BACKGROUNDKrassowski M, Das V, Sahu SK, Misra BB. State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing. Front Genet. 2020 Dec 10;11:610798. doi: 10.3389/fgene.2020.610798. eCollection 2020.
PMID: 33362867BACKGROUNDSubramanian I, Verma S, Kumar S, Jere A, Anamika K. Multi-omics Data Integration, Interpretation, and Its Application. Bioinform Biol Insights. 2020 Jan 31;14:1177932219899051. doi: 10.1177/1177932219899051. eCollection 2020.
PMID: 32076369BACKGROUNDKhan MAB, Hashim MJ, King JK, Govender RD, Mustafa H, Al Kaabi J. Epidemiology of Type 2 Diabetes - Global Burden of Disease and Forecasted Trends. J Epidemiol Glob Health. 2020 Mar;10(1):107-111. doi: 10.2991/jegh.k.191028.001.
PMID: 32175717BACKGROUNDRoy S, Schweiker-Kahn O, Jafry B, Masel-Miller R, Raju RS, O'Neill LMO, Correia CR, Trivedi A, Johnson C, Pilot C, Saddemi J, Memon A, Chen A, McHugh SP, Patel S, Daroshefski NM, Nguyen T, Wissler W, Sharma E, Hunter K. Risk Factors and Comorbidities Associated with Diabetic Kidney Disease. J Prim Care Community Health. 2021 Jan-Dec;12:21501327211048556. doi: 10.1177/21501327211048556.
PMID: 34634970BACKGROUNDGarcia-Carro C, Vergara A, Bermejo S, Azancot MA, Sanchez-Fructuoso AI, Sanchez de la Nieta MD, Agraz I, Soler MJ. How to Assess Diabetic Kidney Disease Progression? From Albuminuria to GFR. J Clin Med. 2021 Jun 5;10(11):2505. doi: 10.3390/jcm10112505.
PMID: 34198818BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 1 Day
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 15, 2022
First Posted
November 30, 2022
Study Start
December 15, 2022
Primary Completion
August 23, 2023
Study Completion
August 23, 2023
Last Updated
October 3, 2023
Record last verified: 2023-10