Projet CMRAI : Detecting the vulnerable aorta in MRI for precision cardiovascular medicine
CMRai project: Detecting the vulnerable aorta in MRI for precision cardiovascular medicine
The aortic aneurysm is a permanent dilation of the aorta whose consequences, in the event of rupture, can be fatal. If diagnosed early enough, treatment often relies on managing high blood pressure. In other cases, surgery is considered to treat the aneurysm as soon as possible. But unfortunately the diagnosis is often late, made during the rupture, and constitutes a dramatic event associated with a mortality rate of 80-90%. It is in this context that it is necessary to better detect aortic aneurysms in the French population. So how can we better prevent aortic ruptures? This is the challenge taken up by the CMRAI project led by the IHU-ICAN and Sorbonne University and funded by EIT Health.
This project, set up at the initiative of the IHU-ICAN and coordinated by its founder Sorbonne University, brings together 9 European partners: Assistance Publique-Hôpitaux de Paris (France), the Hanover School of Medicine (Germany), the Medical University of Vienna (Austria), Vall d’Hebron Hospital (Spain), Santa Cruz Hospital (Portugal), Lisbon University of Sciences (Portugal), including 2 industrial partners: Imageens (France ) and Siemens Healthineers (Germany).
The objective of the CMRAI project is to create a platform that will make it possible to define, from the first signs of the disease, an aortic aneurysm risk score for each patient, and therefore to define a personalized follow-up and management strategy.
This project proposes to go beyond the practice based on diameter alone by proposing an evaluation of new functional parameters in MRI accounting for the elasticity of the wall of the aortic aneurysm, the shear forces applied to its wall, the pressure regime and the disturbances of the resulting blood flows.
These innovative parameters from algorithms developed by the LIB biomedical imaging laboratory (Inserm/SU/CNRS) will be studied in two populations: in patients with a thoracic aortic aneurysm as part of a clinical study in 5 European reference centers and in healthy subjects recruited from the Constances cohort (Inserm) in France in order to establish the normal values expected in the general population.
Led by Prof. Alban Redheuil, head of Cardiovascular and Thoracic Imaging (ICT) at Pitié-Salpêtrière hospital and medical manager of the ICAN Imaging platform, by Dr Nadjia Kachenoura, head of the cardiovascular imaging team ( iCV) of the Biomedical Imaging Laboratory (LIB) and by Ted Baldwin CEO of the start-up Imageens, the CMR projectAI involves several departments of the IHU-ICAN:
- The Scientific Operations Service(SOS) for setting up the project, monitoring the clinical study and scientific coordination
- The Clinical Investigation Platform for the management of clinical study patients
- The ICAN Imaging Platform for the acquisition of 550 MRI scans of the Parisian participants of the clinical study
Expected results
CMRAI will therefore allow the screening of the aortic aneurysm, the therapeutic decision-making and the adapted and personalized care thanks to Magnetic Resonance Imaging (MRI) coupled with the automated and multiparametric analysis of the aorta.
This study contributes to the development of precision medicine in cardiometabolic diseases. This is a major project that has obtained EIT Health funding.
Launch of the META INF T2D study
Launch of the META INF T2D study
The MET INF T2D study
The MET-INF-T2D study carried out by Pr Fabrizio Andreelli, diabetologist APHP, Pitié-Salpêtrière, IHU ICAN, received the favorable opinion of the CPP (Personal Protection Committees) in January 2022.
The opportunity for the IHU ICAN to present to you this project which aims to detect early metabolic heart failure associated with type 2 diabetes through the identification of imaging biomarkers and thus to improve the prediction of the evolution of diabetes.
Type 2 diabetes and heart failure: a complex and little-known link
In France, nearly 4 million people take medication for their diabetes. In recent decades, the number of diabetics has doubled worldwide with nearly 8.5% of the world’s population affected. Diabetes is a chronic disease that occurs when the pancreas does not produce enough insulin or when the body is unable to use the insulin it produces effectively. This results in an increased concentration of glucose in the blood (hyperglycemia).
Type 2 diabetes develops silently and can be diagnosed when an acute episode appears requiring medical care of the patient. Unfortunately in this case diabetes has already damaged the organs. This disease represents an increased risk of cardiovascular accidents, heart failure, and is the cause of renal failure and peripheral neuropathy.
The IHU ICAN teams are particularly mobilized to better understand the pathological mechanisms associated with diabetes in order to develop new therapies and improve patient care.
Heart failure (HF) in patients with type 2 diabetes (T2D) represents a complex and heterogeneous clinical syndrome. HF in patients with T2DM is associated with a significant risk of death, recurrent hospitalizations and deterioration in quality of life.
It is therefore essential to recognize patients with T2D and undiagnosed myocardial dysfunction who are at high risk for acute HF decompensation.
The reduction in glucose levels in type 2 diabetes leads to major metabolic changes and requires metabolic adaptation of the tissues. It is not known how cardiac metabolism can be acutely affected by changes in blood sugar.
To date, the consequences of the short-term reduction in glucose levels in the heart are not known. There is no previous publication with a similar protocol for the heart. It is therefore essential that the disciplines talk to each other in order to provide comprehensive and personalized care to patients.
The objective of our research is to demonstrate that cardiac metabolic inflexibility is present in some patients with chronic hyperglycemia and revealed during the treatment of their diabetes by insulin therapy.
Defects in metabolic flexibility will be evidenced by changes in cardiac segmental contractility on MRI and by extracellular expansion. This study uses state-of-the-art imaging, which is possible at the IHU ICAN thanks to the recent acquisition of a latest-generation 1.5T cardiovascular MRI specifically dedicated to cardiovascular and metabolic research on humans.
The IHU ICAN is very involved in setting up this project and in its execution, in particular with the participation of several of these platforms:
- ICAN BioCollection for the storage of samples and their preparations
- ICAN Imaging for MRI image acquisition and CoreLab imaging for reading and interpreting MRI images
- ICAN Omics for the assay and interpretation of relevant biomarkers
This study will therefore:
- Identify biomarkers for early detection of metabolic heart failure associated with type 2 diabetes
- Improving the prediction of the evolution of type 2 diabetes thanks to imaging
Project leader:
Pr Fabrizio Andreelli, diabetologist AP-HP, Pitié -Salpêtrière, IHU ICAN
Scientific team
- Pr Richard Isnard, cardiologist, Pitié Salpêtrière Cardiology Institute, IHU ICAN,
- Pr Alban Redheuil, medical manager of the Imaging IHU ICAN platform, head of the Cardiovascular and Thoracic Imaging (ICT) unit, Pitié Salpêtrière,
- Nadjia Kachenoura, scientific manager of the Imaging IHU ICAN platform, head of the cardiovascular imaging team of the Biomedical Imaging Laboratory, (LIB, Sorbonne University)
March 4 - World Obesity Day: Focus on Sarcopenic Obesity (OS)
World Obesity Day: Focus on Sarcopenic Obesity (OS)
Worldwide, 1.9 billion adults suffer from overweight/obesity [1], including 8.5 million French people (17% of the population) according to the national epidemiological survey Obépi-Roche 2020. Faced with this global scourge, in 2016 the United Nations launched the “Decade of Action for Nutrition 2016-2025”, which marks a strong and lasting global commitment to the fight against malnutrition in all its forms (overweight, obesity , malnutrition).
Today, undernutrition and obesity are problems that coexist within the same population mainly because of changes in our lifestyles: modification of our diet with increasingly processed products and reduced physical activity are among the main causes of the development of obesity. Nutrition-related diseases (obesity and malnutrition) lead to a sharp increase in physiological dysfunctions, in particular cardiometabolic and musculoskeletal complications that can be serious.
IHU ICAN teams are conducting numerous research programs to better understand the causes and mechanisms of the onset of cardiometabolic diseases and to develop new approaches to better manage patients. Obesity and nutrition are at the heart of the concerns of doctors and researchers.
What is sarcopenic obesity?
Beyond weight, it is very important to assess the whole body composition of each individual, as it varies according to different body phenotypes. Obesity is an abnormal or excessive accumulation of body fat, but when combined with reduced muscle mass/function, it is referred to as sarcopenic (SO) obesity.
Current research suggests that OS may be associated with a large number of metabolic disorders and an increased risk of mortality, since these two conditions act synergistically [2], [3]. Therefore, OS has attracted increasing interest from the scientific community over the past decades. However, a universally accepted definition of OS is lacking to date, as the majority rely on criteria that consider sarcopenia and obesity separately [4], [5]. It is therefore important to better define OS in order to better manage it because this lack of definition and consistent threshold values constitute a gap in the determination of the precise rates of the prevalence of this disease[6] this has an impact on the prognosis of patients mainly, in individuals with severe obesity, because they not only have a greater quantity of adipose tissue, such as muscle tissue, while body composition is impacted as a whole.
Also, the IHU ICAN teams are carrying out a research project on sarcopenic obesity in order to better characterize it in order to improve its diagnosis and offer personalized care for patients.
This project led by Prof. Jean-Michel Oppert, nutritionist and head of the nutrition/obesity department at the Pitié-Salpêtrière Hospital, by Prof. Vlad Ratziu, gastroenterologist/hepatologist and Vittoria Zambon, researcher and nutritionist , aims to develop a gender-specific (M/F) diagnostic approach for Sarcopenic Obesity for overweight or obese people.
The data of 1427 patients, 42.7% of whom had grade III obesity, were studied: clinical examinations, biochemical analyzes and evaluation of body composition by dual-energy X-ray absorptiometry (DXA).
Once the data was listed, the ICAN I/O platform led by Maharajah PONNAIAH developed a new approach based on AI: unsupervised machine learning.
This innovative new approach will identify body phenotypes at risk for OS, and thus define more effective screening, prevention and intervention measures in the clinical management of this disease, by distinguishing between changes in muscle tissue and fat. A more precise and earlier diagnosis will also make it possible to anticipate the appearance or aggravation of comorbidities possibly associated with OS.
References
[1] W. World Health Organization and World Obesity Federation, “Obesity and overweight,” 2020. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight#:~:text=Facts.
[2] I. Abete et al., “Association of lifestyle factors and inflammation with sarcopenic obesity: data from the PREDIMED-Plus trial,” J. Cachexia. Sarcopenia Muscle, vol. 10, no. 5, pp. 974–984, 2019, doi: 10.1002/jcsm.12442.
[3] R. A. Bhanji, A. J. Montano-Loza, and K. D. Watt, “Sarcopenia in Cirrhosis: Looking Beyond the Skeletal Muscle Loss to See the Systemic Disease,” Hepatology, vol. 70, no. 6, pp. 2193–2203, Dec. 2019, doi: 10.1002/hep.30686.
[4] T. Cederholm et al., “ESPEN guidelines on definitions and terminology of clinical nutrition,” Clin. Nutr., vol. 36, no. 1, pp. 49–64, Feb. 2017, doi: 10.1016/j.clnu.2016.09.004.
[5] A. J. Cruz-Jentoft et al., “Sarcopenia: Revised European consensus on definition and diagnosis,” Age Ageing, vol. 48, no. 1, pp. 16–31, Jan. 2019, doi: 10.1093/ageing/afy169.
[6] J. A. Batsis and D. T. Villareal, “Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies,” Nat. Rev. Endocrinol., vol. 14, no. 9, pp. 513–537, Sep. 2018, doi: 10.1038/s41574-018-0062-9.
Persistence of severe hepatic fibrosis despite substantial weight loss with bariatric surgery
Persistence of severe hepatic fibrosis despite substantial weight loss with bariatric surgery
A research team from AP-HP, Inserm and Sorbonne University carried out work, within the IHU ICAN, on the effects of bariatric surgery on the severity of liver damage in patients with NASH (Non-Alcoholic Steatohepatitis or Metabolic Steatohepatitis) and severe fibrosis (bridge fibrosis or compensated cirrhosis).
This study shows that in 50% of patients who underwent bariatric surgery, despite significant weight loss (20% to 30% of initial BMI) and improvement in metabolic risk factors (mainly type 2 diabetes), severe fibrosis persists in the medium term (5 years after surgery). The results of this work were published on January 25, 2022 in the journal Hepatology.
Obesity in France concerns 17% of the adult population and it increasingly affects children and adolescents. It has many consequences on the state of health of people who are affected, including the development of “fatty liver” (liver steatosis). Hepatic steatosis is defined by the accumulation of fat in liver cells favored by the presence of metabolic risk factors (particularly diabetes and obesity).
In France, liver steatosis affects 18% of the population and 25% of the general population worldwide. Ultimately, this pathology, also called NASH, can lead to the appearance of more serious diseases such as cirrhosis or liver cancer. To date, there is no effective drug treatment for NASH, which makes research into other avenues of care for patients all the more important.
Previous work has shown dramatic improvement in NASH liver damage after bariatric surgery in parallel with weight loss. Nevertheless, efficacy data in patients with advanced forms of NASH remain limited.
The study, coordinated by Dr Raluca Pais (AP-HP, IHU ICAN), Dr Judith Aron-Wisnewsky (APHP, Inserm, Sorbonne University, IHU ICAN), Pr Vlad Ratziu (AP-HP, INSERM, Sorbonne University , IHU ICAN) and Prof. Karine Clément (AP-HP, Inserm, Sorbonne University, NutriOmics Unit), made it possible to analyze the effects of bariatric surgery on the evolution of severe histological lesions in NASH. The patients, from the “BARICAN bariatric surgery” cohort coordinated by the nutrition department led by Pr Jean-Michel Oppert at the Pitié-Salpêtrière AP-HP hospital, had an initial liver biopsy at the time of surgery. bariatric and a follow-up biopsy.
This study confirms the excellent results of bariatric surgery: overall, 29% of patients had normal histology at follow-up biopsy; 74% had NASH resolution without fibrosis progression; 70% had fibrosis regression. However, in patients with severe fibrosis before surgery, severe fibrosis persistedin 47% of cases in the medium term after surgery, despite the resolution of NASH in 69% of cases.
Patients who do not respond to bariatric surgery have a lesser improvement in metabolic risk factors (less weight loss, remission of diabetes) even if clinically significant. The factors associated with the persistence of fibrosis after bariatric surgery, in addition to the follow-up interval, were age and type of surgery (less regression of fibrosis after the sleeve regardless of weight loss). The factors associated with the absence of liver lesions after bariatric surgery were greater weight loss, improved insulin resistance and less initial severity of necroinflammatory lesions.
In conclusion, Dr. Raluca Pais specifies that “this study shows that, despite established efficacy for the regression of NASH, bariatric surgery is less effective for the regression of severe fibrosis. Fibrosis regression requires more time and probably additional mechanisms. Weight loss alone may not be enough to reverse severe fibrosis. »
Authors:
Raluca Pais: Public Assistance Paris Hospitals, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne University, Paris, France; Institute of Cardiometabolism and Nutrition, Paris, France; Saint Antoine Research Center, INSERM UMRS_938 Paris, France; Judith Aron Wisnewsky: Public Assistance Paris Hospitals, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne University, Paris, France; CRNH Ile de France, INSERM, UMRS U1269, Nutrition and Obesities Systemic Approaches (NutriOmics), Paris, France; Pierre Bedossa : INSERM UMRS 1138 CRC Paris, France, Paris ; Maharajah Ponnaiah : Institute of Cardiometabolism and Nutrition, Paris, France ; Jean-Michel Oppert:Public Assistance Paris Hospitals, Pitié Salpêtrière Hospital, Paris, France; Sorbonne University, Paris, France; Jean-Michel Siksik: Public Assistance Paris Hospitals, Pitié-Salpêtrière Hospital, Paris, France; Laurent Genser: Assistance Publique Hôpitaux De Paris, Hôpital Pitié-Salpêtrière, Paris, France ; Sorbonne Université, Paris, France ; CRNH Ile de France, INSERM, UMRS U1269, Nutrition and Obesities Systemic Approaches (NutriOmics), Paris, France ; Frederic Charlotte : Assistance Publique Hôpitaux De Paris, Hôpital Pitié Salpêtrière, Paris, France ; Sorbonne Université, Paris, France ; Dominique Thabut: Assistance Publique Hôpitaux De Paris, Hôpital Pitié-Salpêtrière, Paris, France ; Sorbonne Université, Paris, France ; Centre de Recherche Saint Antoine, INSERM UMRS_938 Paris, France ; Karine Clement: Assistance Publique Hôpitaux De Paris, Hôpital Pitié-Salpêtrière, Paris, France ; Sorbonne Université, Paris, France ; CRNH Ile de Persistance d’une fibrose avancée (fibrose en pont, F3) avant et après la chirurgie bariatrique France, INSERM, UMRS U1269, Nutrition and Obesities Systemic Approaches (NutriOmics), Paris, France ; Vlad Ratziu : Assistance Publique Hôpitaux De Paris, Hôpital Pitié-Salpêtrière, Paris, France ; Sorbonne Université, Paris, France ; Institute of Cardiometabolism and Nutrition, Paris, France ; INSERM UMRS 1138 CRC Paris, France, Paris.
Impacts of a high-fat diet on the metabolic profile and phenotype of atrial myocardium in mice
Impacts of a high-fat diet on the metabolic profile and phenotype of atrial myocardium in mice
Metabolic diseases, such as obesity, or diabetes are risk factors for atrial fibrillation (AF), the most common cardiac arrhythmia in clinical practice. Thus, each increase in body mass index is associated with a 4% increase in AF risk. There is also a correlation between the duration of diabetes mellitus, the level of dysglycaemia and the risk of AF. If there is a common ground between AF and metabolic diseases, age, high blood pressure, atherosclerosis, there is probably also a direct impact on the heart of metabolic diseases.
Nadine Suffee of Professor Stéphane Hatem’s team (UMRS1166 cardiovascular and metabolic diseases) studied the consequences of a high-fat diet on the atrial myocardium and on the formation of AF substrate.
Method
Mice were fed a high-fat diet (60% fat) for 4 months and compared to a control group of mice fed a low-fat diet)
An unbiased mass spectroscopic analysis of the atrial myocardial metabolome and lipidome was performed, and then different strategies were used to characterize the atrial phenotype, including measurement of mitochondrial respiration and analysis of the electrophysiology of atrial myocytes studied by the patch clamp technique
Results
Thus, there is a shift in oxidative metabolism in the atria of mice on a high-fat diet toward the predominance of mitochondrial β-oxidation and the accumulation of long-chain lipids.
This metabolic remodeling is accompanied by changes in mitochondrial respiration measured ex vivo in atrial trabeculae and by shortening of action potential duration, an arrhythmogenic mechanism of AF, related to abnormal activation of ATP-dependent potassium channels in atrial myocytes. The activation of these repolarizing channels is the probable consequence of the lower energy efficiency of the metabolism of myocytes from obese mice. This is associated with increased expression of adipogenesis genes, accumulation of WT especially in the atrioventricular groove, and infiltration of the atrial myocardium by lymphocytes and monocytes/macrophages.
This study is the first demonstration of the role of diet on the atrial phenotype and AF substrate formation. Results show the role played by the balance between use and storage of fatty acids in the acquisition of an adipogenic and inflammatory profile of the atria. The study has lead to the identification of new mechanisms that link metabolism and myocardium: lipid elongation, activation of K-ATP channels, recruitment of immunoinflammatory cells.
The IHU-ICAN, a key player in cardiometabolic imaging
The IHU-ICAN, a key player in cardiometabolic imaging
Ultrasound, scanner, MRI, PetScan… To better see the disease, doctors have a wide range of tools, with a role in full evolution. Yesterday a simple aid to diagnosis, imaging now stands out as an essential tool both in improving diagnosis and as a treatment management tool.
Over the past ten years, imagery has crossed a new threshold. First anatomical, it has become functional, highlighting the functioning of the organs.
Thanks to the arrival of digital technology in the 1990s, imaging is now able to unmask abnormal mechanisms within cells, which not only makes it possible to make a better diagnosis, but also to follow the evolution of a disease of inside.
TOWARDS PREDICTIVE IMAGING
Today and tomorrow, it is Artificial Intelligence that will take its place in medical imaging.
The perspectives of AI lie mainly in the automated interpretation of images. It will allow us to go further because of its ability to integrate, combine and interpret a multitude of data in a very short time and with a non-invasive examination:
- By integrating the patient’s history, the history of the disease, the clinical context, the biological parameters, the data of other paraclinical examinations;
- By comparing with the patient’s previous examinations
- But also by accumulating experiences, and taking into account the data of the existing medical literature.
The new concept of “biomarker” for imaging is now firmly established , and the advanced phenotyping enabled by techniques such as MRI, scanner, ultrasound or optical imaging now makes it possible to open unprecedented windows of exploration in humans, particularly in the field of cardio-metabolic diseases.
Radiomics and its integration with other patient data allow the extraction of a large number of data from native images, automatically or semi-automatically, without a priori assumptions.
The IHU ICAN, which relies on the expertise in cardiovascular radiology of Professor Alban Redheuil and the INSERM research team led by Nadjia Kachenoura, has chosen to invest significantly in this area with the acquisition of an MRI dedicated to cardiometabolic imaging research . This tool, which enables population imaging studies, will allow, coupled with AI technologies, to develop new diagnostic strategies , prognostic evaluation and personalized patient management .
To find out more about the imaging projects carried out by the IHU-ICAN:
The MAESTRIA project: Artificial intelligence at the service of innovation
The MAESTRIA project: using artificial intelligence to drive innovation
MAESTRIA, an ultra-innovative project to better detect the atrial cardiomyopathy responsible for the onset of atrial fibrillation and embolic vascular accidents
Atrial fibrillation (AF) is the most common heart rhythm disorder. Its incidence and prevalence are increasing rapidly, mainly in relation to the aging of the population. It is estimated that 750,000 people in France suffer from atrial fibrillation. The high cost of treatment is estimated at around 2.5 billion euros per year.
The MAESTRIA project (Machine Learning and Artificial Intelligence for Early Detection of Stroke and Atrial Fibrillation) is a consortium of 18 partners from Europe, the United States and Canada responding to a H2020 call for projects on digital diagnosis.
What is a H2020 call for projects?
Horizon 2020 (2014-2020) is the European Union’s research and innovation funding program. This program aims to support resolutely interdisciplinary research projects, likely to respond to major economic and social challenges. It was succeeded by Horizon Europe (2021-2027).
What's at stake for the MAESTRIA project?
Atrial fibrillation, a heart rhythm disorder, is the most common cardiac arrhythmia and the leading cause of strokes in the heart. Frequently associated with heart failure, high blood pressure, but also with obesity and diabetes, AF affects approximately 1% of the general population and up to 8% of people over 80 years of age.
The challenge today in the clinical management of atrial fibrillation is to intervene before the onset of the arrhythmia, ie from the first signs of atrial cardiomyopathy.
Coordinated by Prof. Stéphane Hatem, director of the IHU-ICAN and of research unit 1166 at Sorbonne University, the MAESTRIA project therefore aims to develop a new approach for the rapid detection of atrial cardiomyopathy.
All the expertise of IHU ICAN at the service of MAESTRIA
Lasting 5 years, this project requires several expertise within the IHU-ICAN:
- Our Scientific Operations Department (SOS) for setting up and monitoring the project
- Our legal department (PJV) for regulatory and ethical aspects
- La plateforme d’imagerie ICAN Imaging pour l’interprétation des données d’imagerie et d’ECG et l’identification des algorithmes les plus appropriés à intégrer dans le démonstrateur MAESTRIA.
- The clinical platform and the Omics platform of the IHU-ICAN to define the electrophysiological signature of the disease
- The Biological Resource Center (CRB) for the proper conservation of the biological data of the study
The importance of data
By combining imaging data with patient physiological data (omics, clinical data, etc.), this platform will be able to identify new therapeutic targets for improved diagnostic accuracy and increase the effectiveness and efficiency of treatments by enabling better prevention of complications of atrial cardiomyopathy, such as atrial fibrillation and stroke.