Deciphering female’s SEx hormones - MIcrobiota interactions during a menstrual CYCLE for an efficient personalized medicine in cardiometabolic disorders
The SEMICYCLE project aims to identify female-specific microbiota features influencing glycaemic and lipid metabolism to improve prevention and treatment strategies for cardiometabolic disorders in women.
Projectdetails
Introduction
Cardiometabolic disorders (CMD), a group of conditions that include cardiovascular diseases, type 2 diabetes, and metabolic syndrome, are characterised by dysfunction of glycaemic and/or lipid metabolism. Clinical manifestations, severity, and progression are different between sexes, the underlying mechanisms of which are largely unknown.
Need for Tailored Strategies
The poorer prognosis in women globally calls for an urgent need for better women's tailored prevention and treatment strategies. Still, for an efficient personalised strategy, female-specific mechanisms have to be identified.
Project Overview
The SEMICYCLE project will systematically investigate female sex hormones-microbiota interactions to unravel female-specific microbiota features regulating glycaemic and lipid metabolism in women during homeostasis and diseases.
Research Objectives
Findings of this research project will pinpoint key mechanisms useful to improve current prevention and diagnostic tools as well as therapeutic options for CMD. SEMICYCLE will follow up 300 healthy women during one menstrual cycle, and longitudinal cross-omics data will be generated, analysed, and integrated with:
- Female sex hormones variations
- Lifestyle and diet
- Glycaemic and lipid phenotypes
This will be achieved using state-of-the-art methodologies and computational approaches.
Investigating Mechanisms
Subsequently, mechanisms identified during homeostasis will be investigated for association with CMD onset and progression, using already existing cohorts totalling more than 10,000 samples.
Expertise and Expected Outcomes
This research is based on my expertise and that of my research group in generating and analysing omics data in large data sets. Findings will reveal previously unknown microbiota regulators of CMD in women, thus offering alternative routes for prevention, diagnosis, and treatments in women—a necessary step for efficient personalised medicine.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.286 |
Totale projectbegroting | € 1.499.286 |
Tijdlijn
Startdatum | 1-5-2023 |
Einddatum | 30-4-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- CONSIGLIO NAZIONALE DELLE RICERCHEpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Hormone-microbiome interactions as a key-player in female healthThis project aims to investigate hormone-microbiome interactions in women to understand their impact on health and infertility, ultimately identifying biomarkers and new therapeutic strategies. | ERC Starting... | € 1.499.485 | 2022 | Details |
Menstrual blood multiomics analysis to better diagnose, understand and treat endometriosisThe MensEndoDiag project seeks to identify diagnostic and prognostic biomarkers for endometriosis using menstrual fluid, while exploring new therapeutic approaches to improve patient outcomes. | ERC Starting... | € 1.479.399 | 2023 | Details |
Unveiling the Molecular Secrets of Reproductive Mood Disorders: a Multi-Omics Approach ProjectThe MoodMAP project aims to identify molecular markers and biological factors of reproductive mood disorders to improve diagnosis, prevention, and treatment strategies for women's mental health. | ERC Starting... | € 1.499.999 | 2025 | Details |
Resolving metabolic interactions between the gut microbiota and the host with multi-omics-based modellingThis project aims to systematically characterize gut bacteria interactions and their metabolic contributions to host health using experimental and computational methods, enabling targeted microbiota interventions. | ERC Starting... | € 1.499.323 | 2024 | Details |
Epigenetic profiling of menstrual blood for precision cancer detection and preventionThe EpiPrecise project aims to refine a cellular deconvolution algorithm for developing novel epigenetic tests to improve cancer detection and prevention strategies, particularly for women's cancers. | ERC Proof of... | € 150.000 | 2024 | Details |
Hormone-microbiome interactions as a key-player in female health
This project aims to investigate hormone-microbiome interactions in women to understand their impact on health and infertility, ultimately identifying biomarkers and new therapeutic strategies.
Menstrual blood multiomics analysis to better diagnose, understand and treat endometriosis
The MensEndoDiag project seeks to identify diagnostic and prognostic biomarkers for endometriosis using menstrual fluid, while exploring new therapeutic approaches to improve patient outcomes.
Unveiling the Molecular Secrets of Reproductive Mood Disorders: a Multi-Omics Approach Project
The MoodMAP project aims to identify molecular markers and biological factors of reproductive mood disorders to improve diagnosis, prevention, and treatment strategies for women's mental health.
Resolving metabolic interactions between the gut microbiota and the host with multi-omics-based modelling
This project aims to systematically characterize gut bacteria interactions and their metabolic contributions to host health using experimental and computational methods, enabling targeted microbiota interventions.
Epigenetic profiling of menstrual blood for precision cancer detection and prevention
The EpiPrecise project aims to refine a cellular deconvolution algorithm for developing novel epigenetic tests to improve cancer detection and prevention strategies, particularly for women's cancers.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Translational Microbiome PlatformMICK is a digital decision support system that automates microbiome analysis for healthcare professionals, reducing costs by 75% and speeding up turnaround times for clinical applications. | EIC Accelerator | € 2.156.681 | 2022 | Details |
MicroBioDx: karakterisatie van microbioom-gastheer interactiesTenWise en Predica ontwikkelen de MicroBioD om de complexe samenstelling van micro-organismen te analyseren en gerichte behandelingen voor dysbiose te faciliteren. | Mkb-innovati... | € 143.080 | 2021 | Details |
A Multi-Omics Approach for Novel Drug Targets, Biomarkers and Risk Algorithms for Myocardial InfarctionTargetMI aims to rapidly discover novel drug targets and biomarkers for myocardial infarction using a high-throughput multi-omic approach on 1000 samples, enhancing clinical risk prediction and translation. | EIC Pathfinder | € 3.999.840 | 2023 | Details |
She Sense: an accurate and non-invasive test that enables simpler, earlier and more cost-effective diagnosis of patients with endometriosisThe project aims to advance the She Sense test for non-invasive endometriosis diagnosis by optimizing its digital biomarker and validating it clinically for commercial readiness. | EIC Transition | € 2.499.166 | 2023 | Details |
Mid-infrared Wearable for Non-invasive biomarker monitoringThe project aims to develop a wearable device using a miniature Mid-Infrared spectrometer for non-invasive biomarker detection in metabolic syndrome, enhancing early diagnosis and management. | EIC Pathfinder | € 3.991.297 | 2024 | Details |
Translational Microbiome Platform
MICK is a digital decision support system that automates microbiome analysis for healthcare professionals, reducing costs by 75% and speeding up turnaround times for clinical applications.
MicroBioDx: karakterisatie van microbioom-gastheer interacties
TenWise en Predica ontwikkelen de MicroBioD om de complexe samenstelling van micro-organismen te analyseren en gerichte behandelingen voor dysbiose te faciliteren.
A Multi-Omics Approach for Novel Drug Targets, Biomarkers and Risk Algorithms for Myocardial Infarction
TargetMI aims to rapidly discover novel drug targets and biomarkers for myocardial infarction using a high-throughput multi-omic approach on 1000 samples, enhancing clinical risk prediction and translation.
She Sense: an accurate and non-invasive test that enables simpler, earlier and more cost-effective diagnosis of patients with endometriosis
The project aims to advance the She Sense test for non-invasive endometriosis diagnosis by optimizing its digital biomarker and validating it clinically for commercial readiness.
Mid-infrared Wearable for Non-invasive biomarker monitoring
The project aims to develop a wearable device using a miniature Mid-Infrared spectrometer for non-invasive biomarker detection in metabolic syndrome, enhancing early diagnosis and management.