Biomarker signatures of diet, physical activity and sleep in children and youth

HDHL-INTIMIC: Standardised measurement, monitoring and/or biomarkers to study food intake, physical activity and health (STAMIFY 2021)
Biomarker signatures of diet, physical activity and sleep in children and youth
BiomarKid
2022-04-01
2025-03-31
Joaquín Escribano
Fundació d'Investigació Sanitària Pere Virgili (IISPV)
Spain

Consortium

Partner Organization Partner Country
LMU KLINIKUM, LUDWIG-MAXIMILIANS-UNIVERSITÄT (LMU)Germany
HELMHOLTZ ZENTRUM MÜNCHEN - DEUTSCHES FORSCHUNGSZENTRUM FÜR GESUNDHEIT UND UMWELT (HMGU)Germany
MEDICAL UNIVERSITY OF VIENNA (MUW) Austria

1. Overall project description


1.1 Summary

Background & Aims:


Diet and physical activity are lifestyle factors that may affect differently to subjects depending on their genetics and environment. Metabolomics and Proteomics are advanced high-performance techniques that allow understanding what is actually happening inside a human being by the interplay of diet, activity, environment, and genetic predisposition.


Biomarkid will characterize biomarkers of comprehensive dietary patterns, the balance between physical activity and sedentary behaviour, sleep habits, and the interplay between them in children and youth.


One of the main challenges of using these high-performance techniques is to make them available to the practitioners for clinical assessment of patients.


Biomarkid will deliver a web-based tool for interpretation of biomarkers of diet and physical activity to end-users from research, clinical and public health settings (without any computational expertise required), for future applications on health.


To achieve these ambitious objectives, the consortium is formed by a multidisciplinary team holding clinicians, laboratory experts in metabolomics and proteomics, and analysts with expertise in artificial intelligence.


Expected results and impact: 


With the biomarkers characterization and web-based tool produced by Biomarkid, health practitioners will be able to translate complex biomarkers data sets into adherence to certain dietary patterns, physical or sedentary activity, and sleep, related to health.


Biomarkid will bring complex biomarkers identification technology closer to the end-user.



1.2 Highlights


4. Impact


4.1 List of publications

AuthorsTitleYear, Issue, PPPartners NumberDoiPdf

4.2 Presentation of the project

Target groupAuthorsMeans of communicationHyperlinkPdf

4.3 List of submitted patents and other outputs

Patent licencePartners involvedYearInternational eu or national patentCommentPdf

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