Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| University of Surrey | OTHER |
Not provided
Not provided
Not provided
Not provided
The goal of this observational study is to characterise changes in gene expression in endothelial cells in patients with either sepsis or post major abdominal surgery.
The main question we plan to answer is: 'What molecular pathways are differentially expressed during inflammatory pathologies?'
The immune system is a complex network of cells and molecules that protects the body from infection and injury. When the immune system is activated, it produces inflammation, which is a natural response to help heal the body. However, too much inflammation can be harmful and lead to serious complications, such as sepsis, low blood pressure, organ failure and death.
The interaction of cells that line the blood vessels (endothelial cells, EC) with the immune system, is believed to be the root cause of these symptoms. When exposed to inflammation, the instructional molecules (RNA) inside the EC change. This leads to a change of operation promoting the severe symptoms previously mentioned.
Researchers have developed new safe techniques to collect these cells from the blood vessels of patients to study disorders like diabetes, heart disease and stroke. This technique involves gently inserting a metal guidewire into an arm vein to collect ECs.
This study plans to collect ECs from patients undergoing surgery or admitted to intensive care. We also plan to collect control samples from healthy volunteers. Samples will be collected over the duration of the patients to RSFT. The RNA will be removed from the cells and counted to highlight changes in instructions in the cells.
Data from this study will potentially highlight new pathways involved in inflammation and help classify how some patients will react to current treatments. To obtain this data, this study will be split into 2 parts. Part 1 focuses on collecting one sample from a patient when they are at their most unwell states and comparing that to a sample from a healthy person. Part 2 will focus on key mRNA molecules identified during Part 1 and identifying how their expression changes over time.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Part 1 - control patients | 25 healthy volunteers 1 X Endothelial cell biopsy |
| |
| Part 1 - surgical patients | 20 surgical patients 1 X Endothelial cell biopsy Samples collected at 24 hours post knife to skin to capture peak inflammation |
| |
| Part 1 - sepsis patients | 20 sepsis patients 1 X Endothelial cell biopsy Samples collected on admission to ICU |
| |
| Part 2 - surgical patients | 20 surgical patients 3 X Endothelial cell biopsy Samples collected pre-surgery, 24 hours and 48 hours post knife to skin |
| |
| Part 2 - sepsis patients | 20 sepsis patients 3 X Endothelial cell biopsy Samples collected on admission, 24 hours and 48 hours post admission to ICU |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Endothelial cell biopsy | Other | Endothelial cell sample collected from the antecubital fossa of patients. A vein in the antecubital fossa is cannulated with a 20 g valveless cannula. A metal guidewire is then passed into the vessel to collect endothelial cells for analysis |
| Measure | Description | Time Frame |
|---|---|---|
| Differential gene expression in endothelial cells | Using RNA extracted from the two patient cohorts and controls in part 1, we plan to use RNA-SEQ to identify differentially expressed genes. Once we have identified genes we believe to be critically involved with endothelial dysfunction, we will then perform serial sampling on an additional two groups of patients and using qRT-PCR to analyse gene expression changes. | 2 years |
Not provided
Not provided
Inclusion Criteria:
Healthy volunteer
Surgical patients
Critically ill patients
Exclusion Criteria:
Healthy volunteer
Surgical patients
Critically ill patients
Not provided
Not provided
Not provided
Surgical cohort This cohort will predominantly be made up predominantly of patients undergoing major abdominal surgery (HPB, Gynae Onc and Colorectal) requiring recovery in ICU as part of their cancer treatment.
Critically unwell cohort This cohort will be made up of emergency admissions to ICU for patients requiring additional organ support.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ben Creagh-Brown, BM, PhD | Contact | +44 (0)1483 688 660 | bencb@nhs.net | |
| Charlie Piercy, MSc | Contact | +44 (0)1483 688 660 | charles.piercy@nhs.net |
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Royal Surrey NHS Foundation Trust | Recruiting | Guildford | Surrey | GU27XX | United Kingdom |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Jan 23, 2024 | Jun 28, 2024 | Prot_000.pdf |
Not provided
| ID | Term |
|---|---|
| D018805 | Sepsis |
| D056987 | Vasoplegia |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
Not provided
Not provided
Not provided
Not provided
Not provided
| D013568 |
| Pathological Conditions, Signs and Symptoms |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D011183 | Postoperative Complications |