- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05631119
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)
Study Overview
Status
Detailed Description
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Massachusetts
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Woburn, Massachusetts, United States, 01801
- Sanguine Biosciences, Inc.
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Cohort 1: Diabetic Kidney Disease
Inclusion:
- 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 diabetic kidney disease. Enrollment preference for participants with stage 3 kidney disease but is not inclusionary.
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
- 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:
- 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.
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
- 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
Inclusion:
- 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 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
- 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 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:
1. 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:
- 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 not considered in general good health
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Diabetic Kidney Disease
Sample Collection:
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Chronic Kidney Disease
Sample Collection:
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Type 2 Diabetes
Sample Collection:
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Healthy Matched Controls
Sample Collection:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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collect biospecimen samples
Time Frame: 7 months
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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.
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7 months
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Collaborators and Investigators
Sponsor
Collaborators
Publications and helpful links
General Publications
- 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.
- 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.
- 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/
- 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Glucose Metabolism Disorders
- Metabolic Diseases
- Urologic Diseases
- Endocrine System Diseases
- Disease Attributes
- Diabetes Complications
- Renal Insufficiency
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Urogenital Diseases
- Male Urogenital Diseases
- Diabetes Mellitus
- Diabetes Mellitus, Type 2
- Kidney Diseases
- Renal Insufficiency, Chronic
- Diabetic Nephropathies
- Chronic Disease
Other Study ID Numbers
- SAN-08961
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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