- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06021535
Involvement of the Gut Microbiota in Calcified Aortic Stenosis (Gut-CAS)
Involvement of the Gut Microbiota and Its Metabolites in the Pathophysiology of Calcified Aortic Stenosis
Calcific aortic stenosis (CAS) is a disease characterized by progressive calcification of the aortic valve, obstructing the passage of blood from the left ventricle into the general circulation. It is the most frequent cause of valve disease in the elderly. To date, no means of preventing the disease has been discovered, and the only treatment available is valve replacement during cardiac surgery, or percutaneous implantation of a valve prosthesis when the narrowing becomes severe and causes symptoms.
The intestinal flora or microbiota, the reservoir of all the microorganisms in the gut, is implicated in numerous diseases, particularly of the intestine. But to date, no study has established a link between CAS and microbiota. The intestinal microbiota acts through molecules produced by itself or the host and passing into the bloodstream. In the pathophysiology of CAS, the valve leaflets are breached and do not heal. These molecules can enter and have beneficial or deleterious effects, in particular promoting calcification of aortic valve cells.
Concrete objectives:
Improve understanding of calcific aortic stenosis in humans Study the composition of intestinal flora in patients with aortic stenosis and compare it with healthy subjects Study the molecules in the intestinal flora likely to be involved in the development of aortic stenosis in humans.
Study Overview
Status
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Caroline Nguyen, MD
- Phone Number: +41316325000
- Email: caroline.chong-nguyen@insel.ch
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Group of patients with CAS:
- Calcified aortic stenosis diagnosed on a cardiac ultrasound or CT not older than 3 months
- Severe aortic stenosis: surgical indication based on symptoms and ultrasound data (high gradient aortic stenosis : Vmax> 4m/s, mean gradient > 40mmHg, area < 1cm², low flow low-gradient CAS: left ventricular ejection fraction (LVEF) < 40%, Vmax< 4m/s, mean gradient < 40mmHg, area < 1cm², paradoxical low-gradient CAS: LVEF > 55%, Vmax< 4m/s, mean gradient < 40mmHg, area < 1cm²)
- Moderate CAS: 3m/s <Vmax< 4m/s, 20mmHg < mean gradient < 40mmHg
- Mild CAS: 2,6m/s < Vmax < 2.9m/s, mean gradient < 20mmHg
- Aortic sclerosis: calcified remodeling of the aortic valve visible on ultrasound or CT.
Control group - free of CAS:
- No calcified aortic stenosis verified on a cardiac ultrasound or CT not older than 3 months
Exclusion Criteria:
- Treatment interfering with the composition of the intestinal microbiota: local or systemic corticosteroids within the last 3 months, antibiotics within the last 3 months, antiretrovirals, bile acid chelators (questran and colesevelam), HIV-targeted antiretroviral therapies, selective serotonin reuptake inhibitor-type antidepressants
- Clinical criteria: history of cholecystectomy, documented chronic liver disease in the patient, failure to fast on the day of the blood test, inflammatory bowel disease
- Patients requiring emergency intervention (myocardial infarction, acute aortic or mitral insufficiency, cardiogenic shock).
- AS of rheumatic origin, infective endocarditis.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Calcified Aortic Stenosis
Patients with calcified aortic valve or aortic stenosis will be enrolled Stool, blood samples and aortic valve of operated patients will be retrieved to evaluate the composition of the gut microbiota and its metabolites A follow up is planned for patients with no intervention on the aortic valve to assess the evolution of the aortic stenosis and the change in the gut microbiota.
|
No intervention
|
|
Control
Patients without calcified aortic valve will be enrolled Stool and blood samples will be retrieved to evaluate the composition of the gut microbiota and its metabolites No follow up is scheduled.
|
No intervention
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Richness of the gut microbiota
Time Frame: The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of the sample collection (an average of 2 years)
|
The primary endpoint is the evaluation (16S ribosomal ribonucleic acid (rRNA) sequencing) of the species richness using alpha diversity parameters such as the Shannon and Simpson index and diversity between samples using beta diversity with Bray-Curtis dissimilarity approach.
The investigators will then identify the bacteria with taxonomy analysis and statistical differences will be done using MaAsLin (Microbiome Multivariable Association with Linear Models) for patients with and without CAS.
|
The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of the sample collection (an average of 2 years)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparison of the levels of the tryptophane metabolites of the gut microbiota in the blood, feces and the aortic valve between patients with and without CAS
Time Frame: The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
The metabolites being studied include tryptophan metabolites (kynurenine pathway, serotonin pathway).
|
The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
|
Comparison of the levels of the short chain fatty acids (SCFA) metabolites of the gut microbiota in the blood, feces and the aortic valve between patients with and without CAS
Time Frame: The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
The metabolites being studied include SCFA (acetate, propionate and butyrate).
|
The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
|
Comparison of the levels of the trimethylamine N oxide (TMAO) metabolites of the gut microbiota in the blood, feces and the aortic valve between patients with and without CAS
Time Frame: The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
TMAO is derived from trimethylamine (TMA), itself generated by the action of the gut microbiota on dietary choline and phosphatidylcholine contained in red meat, eggs, dairy products and saltwater fish.
TMAO and its derivatives (L Carnitine) are measured in blood, stool and valves.
|
The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
|
Comparison of the levels of the bile acids metabolites of the gut microbiota in the blood, feces and the aortic valve between patients with and without CAS
Time Frame: The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
The metabolites being studied include 4 bile acids and their derivatives (Cholic, Chenodeoxycholic, Deoxycholic and Lithocholic acid)
|
The full analysis will be performed at the end of the sample collection. One intermediate analysis is scheduled when half of the samples are collected (one year and two years)
|
|
Diversity of bacteria families in men and women
Time Frame: The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of the sample collection (an average of 2 years)
|
Primary endpoint: The primary endpoint is the evaluation (16S rRNA sequencing) of the species richness using alpha diversity parameters such as the Shannon and Simpson index and diversity between samples using beta diversity with Bray-Curtis dissimilarity approach.
|
The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of the sample collection (an average of 2 years)
|
|
Prevalence of bacterial families or species in the microbiota of patients with CAS over the course of time and disease progression.
Time Frame: The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of each year of follow up (an average of 2 years)
|
Primary endpoint: The primary endpoint is the evaluation (16S rRNA sequencing) of the species richness using alpha diversity parameters such as the Shannon and Simpson index and diversity between samples using beta diversity with Bray-Curtis dissimilarity approach.
|
The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of each year of follow up (an average of 2 years)
|
|
Prevalence of bacterial families or species in the microbiota of men versus women with CAS over the course of time and disease progression.
Time Frame: The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of each year of follow up (an average of 2 years)
|
Primary endpoint: The primary endpoint is the evaluation (16S rRNA sequencing) of the species richness using alpha diversity parameters such as the Shannon and Simpson index and diversity between samples using beta diversity with Bray-Curtis dissimilarity approach.
|
The sample will be collected at the time of inclusion (with a margin of two additional days depending on the patient's ability to pass stools). The analysis will be performed at the end of each year of follow up (an average of 2 years)
|
Collaborators and Investigators
Investigators
- Principal Investigator: Caroline Nguyen, MD, Insel Gruppe AG
Publications and helpful links
General Publications
- Kocyigit D, Tokgozoglu L, Gurses KM, Stahlman M, Boren J, Soyal MFT, Canpinar H, Guc D, Saglam Ayhan A, Hazirolan T, Ozer N. Association of dietary and gut microbiota-related metabolites with calcific aortic stenosis. Acta Cardiol. 2021 Jul;76(5):544-552. doi: 10.1080/00015385.2020.1853968. Epub 2020 Dec 18.
- Liu Z, Li J, Liu H, Tang Y, Zhan Q, Lai W, Ao L, Meng X, Ren H, Xu D, Zeng Q. The intestinal microbiota associated with cardiac valve calcification differs from that of coronary artery disease. Atherosclerosis. 2019 May;284:121-128. doi: 10.1016/j.atherosclerosis.2018.11.038. Epub 2018 Dec 4.
- Agus A, Planchais J, Sokol H. Gut Microbiota Regulation of Tryptophan Metabolism in Health and Disease. Cell Host Microbe. 2018 Jun 13;23(6):716-724. doi: 10.1016/j.chom.2018.05.003.
- Shan Y, Pellikka PA. Aortic stenosis in women. Heart. 2020 Jul;106(13):970-976. doi: 10.1136/heartjnl-2019-315407. Epub 2020 Mar 22.
- Morvan M, Arangalage D, Franck G, Perez F, Cattan-Levy L, Codogno I, Jacob-Lenet MP, Deschildre C, Choqueux C, Even G, Michel JB, Back M, Messika-Zeitoun D, Nicoletti A, Caligiuri G, Laschet J. Relationship of Iron Deposition to Calcium Deposition in Human Aortic Valve Leaflets. J Am Coll Cardiol. 2019 Mar 12;73(9):1043-1054. doi: 10.1016/j.jacc.2018.12.042.
- Yilmaz B, Fuhrer T, Morgenthaler D, Krupka N, Wang D, Spari D, Candinas D, Misselwitz B, Beldi G, Sauer U, Macpherson AJ. Plasticity of the adult human small intestinal stoma microbiota. Cell Host Microbe. 2022 Dec 14;30(12):1773-1787.e6. doi: 10.1016/j.chom.2022.10.002. Epub 2022 Oct 31.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
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
Other Study ID Numbers
- BASEC Nr (2023-01173)
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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