Projektbeschreibung
Einblick in die Darm-Hirn-Achse
Neue Erkenntnisse weisen auf eine gegenseitige Wechselwirkung zwischen Darm und Gehirn hin, wobei gastrointestinale Störungen mit verschiedenen Veränderungen im Gehirn einhergehen und umgekehrt. Das Forschungsteam des EU-finanzierten Projekts BrainGutAnalytics zielt darauf ab, ein tieferes Verständnis des Wesens und der Funktionsweise dieser Darm-Hirn-Achse zu erlangen. Mithilfe eines Multi-Omik-Ansatzes, welcher Neurobildgebung, klinische Diagnostik und mikrobielle Profilerstellung kombiniert, ermitteln sie geeignete gastrointestinale Phänotypen und korrelieren diese mit Biomarkern. Diese Biomarker bilden die Grundlage für ein neues Diagnosesystem sowie für die Entwicklung von Arzneimitteln und Präzisionsbehandlungen bei neurologischen und gastrointestinalen Erkrankungen.
Ziel
An intimate yet less known relation between human brain and gut is rapidly emerging as several recent studies have identified various alterations within brain as a result of gastrointestinal disorders and reported comparable variations in gastrointestinal system due to altered brain outputs. These relationships are collectively termed as brain-gut axis and a deeper understanding of its exact nature and operation can lead to development of novel diagnosis, drugs and precision treatment for both neurological and gastrointestinal disorders.
The first step towards establishing a comprehensive understanding of brain-gut axis is to identify suitable phenotypes that can be used to describe certain disease state and serve as basis for further investigations into operation of brain-gut axis. In this study, a multiomics based data analysis approach is proposed to search for exclusive and generalizable phenotypes of a certain gastrointestinal disorder. Our multiomics data consist of multimodal imagery of brain and gut, clinical diagnostics, microbial profiling, questionnaire based disease evaluations, genetic and molecular representations taken from carefully designed cohorts of patients and healthy controls. Our data analyses will employ a variety of techniques including digital image processing, computer vision, machine learning and statistical methods to determine covariate factors in omics, which will be then used to identify representative biomarkers for gastrointestinal disorders.
We also aim to develop a novel diagnosis system for gastrointestinal disease based on novel biomarkers through a combination of neuroimaging and digital image processing pipeline . Our research is expected to excel the existing knowledge on brain-gut axis by exposing critical phenotypes, employing them for early diagnostic and paving way towards deeper understanding of brain-gut axis.
Wissenschaftliches Gebiet
- natural sciencescomputer and information sciencesdata science
- social sciencesmedia and communicationsgraphic design
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- medical and health sciencesclinical medicinegastroenterology
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Aufforderung zur Vorschlagseinreichung
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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Koordinator
5021 Bergen
Norwegen