SAN-08961: Biorepository of Biospecimen Samples in Matched Healthy Control Participants and Participants Diagnosed With Diabetic Kidney Disease, Chronic Kidney Disease, or Type 2 Diabetes
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
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.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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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 |
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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 |
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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. |
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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. |
Outcome Measures
Primary Outcome Measures
- collect biospecimen samples [7 months]
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.
Eligibility Criteria
Criteria
Cohort 1: Diabetic Kidney Disease
Inclusion:
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The participant is willing and able to provide written informed consent
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The participant is willing and able to provide appropriate photo identification
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Participants aged 18 to 85
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Participants have been diagnosed with diabetic kidney disease. Enrollment preference for participants with stage 3 kidney disease but is not inclusionary.
Exclusion:
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Participants who are pregnant or are nursing
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Participants with a known history of HIV, hepatitis, or other infectious diseases
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Participants who have taken an investigational product in the last 30 days
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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
Inclusion:
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The participant is willing and able to provide written informed consent
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The participant is willing and able to provide appropriate photo identification
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Participants aged 18 to 85
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Participants have been diagnosed with chronic kidney disease.
Exclusion:
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Participants who are pregnant or are nursing
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Participants with a known history of HIV, hepatitis, or other infectious diseases
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Participants who have taken an investigational product in the last 30 days
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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
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Participants have been diagnosed with acute kidney disease or diabetic kidney disease
Cohort 3: Type 2 Diabetes
Inclusion:
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The participant is willing and able to provide written informed consent
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The participant is willing and able to provide appropriate photo identification
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Participants aged 18 to 85
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Participants have been diagnosed with type 2 diabetes.
Exclusion:
-
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
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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
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Participants have been diagnosed with type 1 diabetes
Cohort 4: Healthy Matched The study will enroll participants considered healthy matched controls per the eligibility criteria. The healthy-matched controls must match each participant in the diseased cohorts by age (+/- 10 years).
Inclusion:
- The participant is willing and able to provide written informed consent 2. The participant is willing and able to provide appropriate photo identification 3. Participants aged 18 to 85 4. Participants who are in generally good health are defined as: b. Participants may have a common/mild health condition(s) that are generally under control, including but not limited to: i. Hypertension, high cholesterol, asthma, anxiety, depression, attention deficit disorder (ADD), attention deficit hyperactivity disorder (ADHD), gastroesophageal reflux disease (GERD), irritable bowel syndrome (IBS), allergies, eczema, migraines, osteoarthritis, sleep apnea, restless leg syndrome, and eye issues (e.g., myopia, astigmatism, etc.) ii. Participants with a previous diagnosis and have recovered from COVID-19 iii. Participants in general good health may also take nonsteroidal anti-inflammatory drugs (NSAIDS) (i.e., ibuprofen, Tylenol, aspirin, Excedrin) irregularly or semi-regularly due to conditions like headache, body aches, cold/flu treatment as long as the medications are not being used for the treatment of a major underlying condition.
Exclusion:
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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
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Participants not considered in general good health
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Sanguine Biosciences
- Novo Nordisk A/S
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- Chuah 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.
- Garcia-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.
- Khan 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.
- Krassowski 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.
- Kreeger 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
- 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/
- Olivier 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.
- Quezada 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.
- Roy 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.
- Siwek 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.
- Strimbu K, Tavel JA. What are biomarkers? Curr Opin HIV AIDS. 2010 Nov;5(6):463-6. doi: 10.1097/COH.0b013e32833ed177.
- Subramanian 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.
- SAN-08961