CEC4DC: Discovering Early Biomarkers in Circulating Endothelial Cells for Diabetes Complications by Single Cell RNA Sequencing
Study Details
Study Description
Brief Summary
The purpose of this study is to discover early biomarkers in circulating endothelial cells for diabetes complications, by investigating circulating endothelial cells in blood samples from patients with newly diagnosed proliferative diabetic retinopathy, newly diagnosed maculopathy, patients with diabetes without eye diseases, and individuals without diabetes by single-cell RNA sequencing. The single-cell RNA sequencing analysis will make it possible to fully phenotype diabetes circulating endothelial cells at single-cell level and reveal the first atlas of circulating endothelial cells in humans at both healthy and diabetes conditions.
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Detailed Description
There is one particular type of ECs, which are circulating in the blood system called circulating endothelial cells (CECs). The common concept of CECs only refers to mature ECs that have been shed from the vascular wall due to impaired vascular functions caused by e.g. diabetes, and hypertension. Mature CECs have thus been proposed as highly valuable targets for diagnosis, treatment, and prognosis of cardiovascular diseases. In healthy individuals, the number of CECs varies from 0 to 7000 per ml of blood and increases significantly in patients with hypertension, diabetes, and cardiovascular diseases. In addition to mature EC, which circulates as CEC. Immature EC, called "circulating endothelial progenitor cells" (cEPC), is reduced in patients with cardiovascular disorders. Based on the highly heterogeneous phenotype of vascular ECs found within and between tissues, it is not surprising that all currently known surface markers for both mature CEC and cEPC are debatable as these studies did not consider ECs heterogeneity. Proliferative diabetic retinopathy (PDR) is a well-defined diabetes complication caused by ECs dysfunction. This study will examine human blood (from healthy individuals, patients with diabetes and PDR or diabetic maculopathy, or without eye disease) and thereby characterize both CEC and cEPC by single-cell RNA sequencing.
This study aims to discover early CEC biomarkers for diabetes complications exemplified with diabetic eye diseases.
Recruitment and scRNA-seq: Blood samples from healthy individuals and patients with diabetes and PDR, diabetic maculopathy, or without eye disease will be recruited from Steno Diabetes Center Aarhus and the Department of Ophthalmology at Aarhus University Hospital. The PBMCs will be freshly isolated from the blood samples followed by CEC enrichment by Fluorescent-Activated Cell Sorting of CD45-CD31+ live cells. Ethical and GDPR approval has been obtained.
ScRNA-seq of CECs: The CD45-CD31+ cells will be processed immediately to single-cell capture and -barcoded cDNA synthesis using the Next GEM Single Cell 3' GEM kit (10x genomics). NGS libraries will be prepared and sequenced using the MGI2000 sequencers from BGI. GenomeDK will be used to supercomputing clusters followed by scRNA-seq analysis and visualization. Integrative multi-model scRNA-seq analyses: Standard scRNA-seq analyses will be carried out to stratify the differential subtypes of CECs and cEPCs and identify ECs subtypes associated with the development of proliferative diabetic retinopathy and diabetic maculopathy. Integrative analysis of scRNA-seq results aims to discover CECs biomarkers which can be used for early diagnosis, prevention and treatment of diabetes complications.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Patients with diabetes and newly diagnosed proliferative diabetic retinopathy, level 4. (n=10) Inclusion criteria: Type I or II diabetes, habile and age>18 years. Exclusion criteria: Incapacitated or age< 18 years. One 20mL blood sample from each patient will be analysed by flow cytometry and single cell RNA sequencing. A questionnaire describing the patients general health (gender, age, duration of diabetes, smoking status, blood pressure, BMI and hip/waist ratio) will be made. |
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| Patients with diabetes and newly diagnosed diabetic maculopathy. (n=10) These patients will be matched 1:1 to the patients with proliferative diabetic retinopathy, regarding gender, age, duration of diabetes, smoking status, and blood pressure. One 20mL blood sample from each patient will be analysed by flow cytometry and single cell RNA sequencing.A questionnaire describing the patients general health (gender, age, duration of diabetes, smoking status, blood pressure, BMI and hip/waist ratio) will be made. |
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| Patients with diabetes without retinopathy, level 0. (n=10) These patients will be matched 1:1 to the patients with proliferative diabetic retinopathy, regarding gender, age, duration of diabetes, smoking status, and blood pressure. One 20mL blood sample from each patient will be analysed by flow cytometry and single cell RNA sequencing.A questionnaire describing the patients general health (gender, age, duration of diabetes, smoking status, blood pressure, BMI and hip/waist ratio) will be made. |
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| Individuals without diabetes and known eye diseases (n=10) These patients will be matched 1:1 to the patients with proliferative diabetic retinopathy, regarding gender, age, smoking status, and blood pressure. One 20mL blood sample from each patient will be analysed by flow cytometry and single cell RNA sequencing.A questionnaire describing the patients general health (gender, age, smoking status, blood pressure, BMI and hip/waist ratio) will be made. |
Outcome Measures
Primary Outcome Measures
- Genome wide expression profile of circulating cells in blood samples from each cohort group [The PBMCs (including circulating endothelial cells) will be freshly isolated from the whole blood sampel, and frozen until all samples are collected (8 months). Afterwards flow cytometry and scRNA-seq analysis will be performed on all samples (2 months).]
Flow cytometry and single-cell RNA sequencing will be used to identify and consolidate potential biomarkers for diabetes complications, by making a genome wide expression profile used to characterise the different phenotypes of circulating cells in each cohort group.
Eligibility Criteria
Criteria
Inclusion Criteria:
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Type I or II diabetes
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Habile
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Age> 18 years
Exclusion Criteria:
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Incapacitated
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Age < 18 years
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Steno Diabetes Center Aarhus, Aarhus University Hospiral | Aarhus | Denmark | 8000 |
Sponsors and Collaborators
- Aarhus University Hospital
- University of Aarhus
Investigators
- Principal Investigator: Niels Jessen, Professor, Steno Diabetes Center Aarhus, Aarhus Universitet Hospital
Study Documents (Full-Text)
None provided.More Information
Publications
- Aird WC. Endothelial cell heterogeneity. Cold Spring Harb Perspect Med. 2012 Jan;2(1):a006429. doi: 10.1101/cshperspect.a006429. Review.
- Carmeliet P. Angiogenesis in health and disease. Nat Med. 2003 Jun;9(6):653-60. Review.
- Damani S, Bacconi A, Libiger O, Chourasia AH, Serry R, Gollapudi R, Goldberg R, Rapeport K, Haaser S, Topol S, Knowlton S, Bethel K, Kuhn P, Wood M, Carragher B, Schork NJ, Jiang J, Rao C, Connelly M, Fowler VM, Topol EJ. Characterization of circulating endothelial cells in acute myocardial infarction. Sci Transl Med. 2012 Mar 21;4(126):126ra33. doi: 10.1126/scitranslmed.3003451.
- Rajendran P, Rengarajan T, Thangavel J, Nishigaki Y, Sakthisekaran D, Sethi G, Nishigaki I. The vascular endothelium and human diseases. Int J Biol Sci. 2013 Nov 9;9(10):1057-69. doi: 10.7150/ijbs.7502. eCollection 2013. Review.
- 33579
- AUFF-NOVA Research Grant