Project Launched by VTT Develops Computer Models for Predicting Dietary Effects on Health

VTT is launching an extensive EU project called ETHERPATHS, studying the effects of dietary effects mediated by gut microbiota on lipid metabolism. The aim is to accelerate the development of health-promoting foods. The project develops computer assisted models with which food companies and research institutions, for instance, will be able to predict the effects of foods in the body.

The ETHERPATHS project focuses on the balance of lipid metabolism in the body, the effects of foods in tissues and the role of gut microbiota in these processes. Lipid metabolism disorders are associated with several common health care problems, such as ageing, diabetes and cardiovascular diseases. The balance can be influenced by dietary means. The risk of chronic diseases decreases with a diet containing particularly omega-3 fatty acids and foods that contain fibres and phenol. Therefore, fatty fish, berries, fruits and vegetables may be favourable foods in terms of lipid metabolism balance. The body’s own phospholipids are assumed to mediate the health-promoting effects, but their mechanisms of action are still unknown.

The project develops computer-assisted models that emulate the changes in lipid metabolism brought about by eating fish and vegetable oil, berries, fruits and vegetables. The use of models makes it easier to combine data from animal studies and cell-level data in the interpretation of research data from clinical trials, thus promoting research in the health effects of foods and development of foodstuffs. The results of the project and the tools developed in it will in time also be available to in addition to food companies to companies and research institutions that develop diagnostics of health and disease.

The coordinator of the ETHERPATHS project is VTT's Research Professor Matej Oresic. The total project budget for 2009–2012 is EUR 8 million, of which VTT's share is EUR 2.5 million. The project involves a total of 10 European research institutions and companies.

The project partners are: VTT (Finland), University of Barcelona (Spain), University of Gothenburg (Sweden), University of Cambridge (United Kingdom), Institute for Systems Biology SPb (Russia), Federico II University of Naples (Italy), Noray Bioinformatics S.L.U. (Spain), BioMotif AB (Sweden), Advion Biosciences, Ltd. (United Kingdom) and Nestle Research Center (Switzerland). The project is part of the EU FP7 Cooperation Work Programme: Food, agriculture and fisheries, and biotechnology programme (KBBE-2007-2-2-08).

About VTT Technical Research Centre of Finland
VTT Technical Research Centre of Finland is the biggest contract research organization in Northern Europe. VTT provides high-end technology solutions and innovation services. From its wide knowledge base, VTT can combine different technologies, create new innovations and a substantial range of world-class technologies and applied research services, thus improving its clients' competitiveness and competence. Through its international scientific and technology network, VTT can produce information, upgrade technology knowledge and create business intelligence and value added to its stakeholders. For more information, visit http://www.vtt.fi.

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...