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| ID | Type | Description | Link |
|---|---|---|---|
| IDRCB2013-A00189-36 | Other Identifier | IDRCB Number |
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| Name | Class |
|---|---|
| European Union | OTHER |
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Supported by state-of-the-art systems medicine competences including integrative computational and functional genomics, the overarching goal of the trial is to investigate the impact of qualitative and quantitative changes in the gut microbiota on the pathogenesis of cardiometabolic diseases (CMDs) and their associated co-morbidities. A major objective will be to translate the clinical and fundamental based discoveries into new diagnosis and preventive actions paving the way to novel modes of treatment in the successive stages of CMD progression.
Cardiovascular diseases represent a huge medico-economic issue that is supported by public health policy. It is linked not only to the high prevalence of these diseases but also the associated cost they encounter for. Therefore, it seems rather urgent to create and validate tools to predict evolution of this group of disease in order to better take care of patients before they enter the more chronic stages which induce increased costs and socioeconomic and medical burdens.
It is now well acknowledged that gut microbiota is modified in some metabolic disease such as type-2 diabetes but also in inflammatory diseases. However, gut microbiota is still insufficiently explored in cardiovascular disease, although it could represent a useful, non-invasive and practical tool in the daily care of patients.
Investigators aim to deepen the knowledge and characterization of gut microbiota in patients going from metabolic diseases such as metabolic syndrome, obesity and type 2 diabetes (which are risks factors for cardiovascular diseases) to overt coronary artery diseases (from the first event to end stage heart failure). Investigators will use a system medicine approach whose aim is to integrate numerous data coming from different technologies (including environment, transcriptomics, metabolomics, metagenomics, lipidomics and bioinformatics). These integrated approaches are needed to translate basic science findings into clinical practice for the benefit of the patients.
Investigators aim to uncover new microbial signatures that could help diagnose and/or predict both the natural evolution of cardiometabolic diseases and the response to treatment. Investigators aim to go forward personalized medicine.
Patients will be approached for enrolment during their hospitalization in the 3 centers during the 24-month enrolment phase (WP3). Once the informed consent completed, each patient will be assessed for CMD phenotypes including clinical examination, environmental and food habit evaluation, blood urine and feces samples. In each group of patients, a sub-sample of 30 to 50 subjects will be included in one or more advanced phenotyping items. This will include whole body composition by absorptiometry (DXA), abdominal visceral fat by tomodensitometry, Oral Glucose Tolerance Test (OGTT) (glucose, insulin, incretins), subcutaneous fat biopsy, cardiac echocardiography, intima media thickness, pulse wave velocity. For the obese patients undergoing bariatric surgery: liver and subcutaneous and omental adipose tissue biopsies will be obtained during surgery.
This group of patient will be followed at 3, 6 and 12 months after their surgery and will have the same examination as mentioned above.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group 1 | Other | Metabolic syndrome |
|
| Group 2 | Other | Severly obese patients |
|
| Group 3 | Other | Type-2 diabetics patients |
|
| Group 4 | Other | Patients with first recent (< 2 weeks) acute coronary syndrome (ACS) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Adipose tissue biopsies (omental and subcutaneous) liver | Other |
|
| Measure | Description | Time Frame |
|---|---|---|
| Look for differences in gut microbiota signatures using metagenomic approach in the 8 different groups | Look for differences in gut microbiota signatures using metagenomic approach in the 8 different groups (metabolic syndrome, type 2 diabetes, obesity, acute coronary event, chronic coronaropathy with or without cardiac insufficiency, cardiac insufficiency without coronaropathy and controls), in order to uncover gut derived signature associated with CMD stages | baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Establish differences in fecal metabolomic signatures using 1H nuclear magnetic resonance (NMR) spectroscopy and Ultra-high Performance Liquid Chromatography Mass Spectrometry ((UPLC-MS) on fecal samples) in the 8 different groups (cf above mentioned) | baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Establish differences in systemic and adipose tissue inflammatory patterns (using multiplex array and adipose tissue transcriptomic) in the 8 above mentioned groups | Baseline | |
| Establish host metabolomic differences in the 8 groups in order to obtain a CMD metabolomic derived signature (using 1H nuclear magnetic resonance) spectroscopy and Ultra-high Performance Liquid Chromatography Mass Spectrometry (in serum and urine) |
Inclusion criteria :
Group 1 : metabolic syndrome As defined by the IDF
Central obesity: defined as waist circumference > 94 cm for European men and > 80 cm for European women (with knowledge on ethnicity for other groups)
plus 2 of the following criteria out of 4:
Aged 18 to 75 years old
To avoid overlapping with the other groups (in particular group III): only patients with normal glucose tolerance (NGT), impaired glucose tolerance (IGT) and/or impaired fasting glucose (IFG) and an HbA1c < 6.5 % will be included in this group.
Group II: severely Obese patients
Aged 18 to 75 years old
BMI ≥35kg/m²
Half of the effective will be standard obese patients (150 in Paris and 150 in Leipzig)
Half of the effective will be patients candidate to a bariatric surgery either Sleeve gastrectomy or Roux-en-Y bypass (with the following clinical conditions: according to European and national guidelines for obesity surgery):
These patients will be followed during the first year after surgery. The clinical and research investigation time points will be 3, 6 and 12 months after the surgery.
Group 3: type 2 diabetes
Patients with known type 2 diabetes ie:
Group 4
- Aged 18-75 years ACS without persistent ST elevation (ST-) Or ACS with persistent ST elevation (STEMI)
Group 5
Group 6 Part of this group will be recruited during or immediately after a hospitalization for acute heart failure and Another part of the group will be at the stage in chronic heart failure with no recent acute event (no acute decompensation < 3 month)
chronic Cardiac disease :ie Duration of chronic heart failure > 6 months, or NYHA 2-4 or past history of clinical insufficiency decompensation or CHF due to LV systolic dysfunction (LV ejection fraction < 45 %) and Past history of ACS and /or documented CAD ie (stenosis > 30 % in > 1 coronary artery or previous revascularization >6months) and Aged 18 to 75 years old
Group 7 Half of this group will be recruited during or immediately after a hospitalization for acute heart failure (< 1 month) and half in chronic stable heart failure (no acute decompensation < 3 month) chronic cardiac disease non ischemic ie: (Documented coronary angiogram showing non-significant CAD) cardiac insufficiency ie: (LV ejection fraction < 45 %, or NYHA 2-4 or past history of clinical insufficiency decompensation) and No valvular etiology and No symptoms and no angina and Aged 18 to 75 years old Group 8
Exclusion criteria :
Definitive exclusion criteria:
Temporary exclusion criteria:
Specific exclusion criteria per group Group I : Type-2 diabetic patients or patients on anti-diabetic agent Clinical signs of CAD Past history of coronary syndrome
Group II : Obese
IIa:
Type 2 diabetic patients Past history of coronary syndrome Clinical signs of CAD
IIb:
Patients with previous bariatric surgery
Group III Past history of coronary syndrome Clinical signs of CAD Known auto-immune diabetes mellitus Patients with a HbA1c > 10 % We will exclude secondary diabetes mellitus or type 1 or Idiopathic diabetes or Other specific types of diabetes Genetic defects of the β-cell or Genetic defects in insulin action or Diseases of the exocrine pancreas or Endocrinopathies or Drug- or chemical-induced diabetes or diabetes due to pancreatic resection
Group IV Past history of coronary syndrome Left ventricular dysfunction FeVG<45%
Group V Left ventricular dysfunction FeVG<45%
Group VII Significant documented CAD Past history of coronary syndrome
Group VIII Patients with known chronic inflammatory diseases Patients with either type 2 diabetes, cardiovascular diseases, Patients with treatment for dyslipidemia or for hypertension Patients with chronic inflammatory diseases, Patients with diseases of the gastrointestinal tract, including prior major abdominal surgery on the gastrointestinal tract Patients on non-steroid anti-inflammatory treatment or after a wash-up period of 2 days
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Karine Clement, Professor | Contact | 0033(0) 1 4217 7928 | karine.clement@psl.aphp.fr |
| Name | Affiliation | Role |
|---|---|---|
| Karine Clement, Professor | Assistance Publique - Hôpitaux de Paris | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Copenhagen | Recruiting | Copenhagen | Denmark |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35017197 | Derived | Belda E, Voland L, Tremaroli V, Falony G, Adriouch S, Assmann KE, Prifti E, Aron-Wisnewsky J, Debedat J, Le Roy T, Nielsen T, Amouyal C, Andre S, Andreelli F, Bluher M, Chakaroun R, Chilloux J, Coelho LP, Dao MC, Das P, Fellahi S, Forslund S, Galleron N, Hansen TH, Holmes B, Ji B, Krogh Pedersen H, Le P, Le Chatelier E, Lewinter C, Manneras-Holm L, Marquet F, Myridakis A, Pelloux V, Pons N, Quinquis B, Rouault C, Roume H, Salem JE, Sokolovska N, Sondertoft NB, Touch S, Vieira-Silva S; MetaCardis Consortium; Galan P, Holst J, Gotze JP, Kober L, Vestergaard H, Hansen T, Hercberg S, Oppert JM, Nielsen J, Letunic I, Dumas ME, Stumvoll M, Pedersen OB, Bork P, Ehrlich SD, Zucker JD, Backhed F, Raes J, Clement K. Impairment of gut microbial biotin metabolism and host biotin status in severe obesity: effect of biotin and prebiotic supplementation on improved metabolism. Gut. 2022 Dec;71(12):2463-2480. doi: 10.1136/gutjnl-2021-325753. Epub 2022 Jan 11. |
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| Group 5 | Other | Patients with stable chronic coronary artery disease without heart failure |
|
| Group 6 | Other | Patients with ischemic systolic heart failure (CHF) |
|
| Group 7 | Other | Patients with non-ischemic chronic heart failure |
|
| Group 8 | Other | Healthy volunteers |
|
| CT-scan | Radiation |
|
| Stools sampling | Other |
|
| DNA sampling | Other |
|
| Blood sampling | Other |
|
| Urine sampling | Other |
|
| Dual energy X-ray absorptiometry-scan (DEXA-scan) | Radiation |
|
| Baseline |
| Establish a statistical association between host metabolomic signatures (cf above 3 in serum and urine) and the gut metagenomic signatures in the 8 groups | Baseline |
| Establish a diet related signature of CMD stages by looking for differences in diet in the 8 groups (using Food Frequency Questionnaire (FFQ) and three day 24h diet recall) | Baseline |
| Establish an environment related signature of CMD stages by looking at differences in environment in the 8 groups (using data obtained from environment questionnaires) | Baseline |
| Look for statistical association between gut derived signatures and lifestyle factors such as environment and diet (using data obtained from environment questionnaires and the results of both FFQ and Three day 24h diet recall) | Baseline |
| Hôpital Pitié-Salpétrière | Recruiting | Paris | 75013 | France |
|
| University of Leipzig | Recruiting | Leipzig | Germany |
|
| ID | Term |
|---|---|
| D009765 | Obesity |
| D003924 | Diabetes Mellitus, Type 2 |
| D003324 | Coronary Artery Disease |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D003327 | Coronary Disease |
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D014652 | Vascular Diseases |
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| ID | Term |
|---|---|
| D007279 | Injections, Subcutaneous |
| D008110 | Liver Extracts |
| D001800 | Blood Specimen Collection |
| D015502 | Absorptiometry, Photon |
| ID | Term |
|---|---|
| D007267 | Injections |
| D004333 | Drug Administration Routes |
| D004358 | Drug Therapy |
| D013812 | Therapeutics |
| D014020 | Tissue Extracts |
| D045424 | Complex Mixtures |
| D013048 | Specimen Handling |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D011677 | Punctures |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |
| D011859 | Radiography |
| D003952 | Diagnostic Imaging |
| D003720 | Densitometry |
| D010783 | Photometry |
| D002623 | Chemistry Techniques, Analytical |
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