Menu
MapConnectionsTopicsBulgariaThe Night (K-TRIO)Marie Skłodowska-CurieFor studentsFor teachersMethodologySurprise me
HEDoctoral network2023–2027

HUMAN · Harmonising and Unifying Blood Metabolomic Analysis Networks

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2023-02-01 → 2027-09-30
EU contribution
€2,582,503
Participants
23
Scheme
HORIZON-TMA-MSCA-DN

Lines connect the coordinator with its partners. CORDIS does not always give exact coordinates for projects before 2014. These points are placed at city or country level.

Results in brief

Harmonising and Unifying Blood Metabolomic Analysis Networks

The main objective of the project is to identify current limitations and discrepancies of metabolomics datasets by studying how variances in metabolomics workflows can change outcomes in terms of metabolite annotation and identification, metabolome coverage, etc. with further aim to propose solutions for cross-cohort data integration and facilitate quality control schemes. Apart from this, a major scope of the project is to investigate the potentials of Blood Microsampling (BμS) in biomarker discovery and to consolidate, create and implement bioanalytical methods and data analysis methods and tools using BμS in metabolomics studies that can be valuable in health and wellness monitoring. The specific objectives for the project are summarised in the following: 1) Build a multidisciplinary consortium with the critical mass to address the limitations in human LC-MS-based blood metabolomics, such as result reproducibility and research fragmentation. 2) Perform cross-laboratory comparisons to identify the sources of variability in all steps of metabolomics studies: preanalytical, sample preparation, LC-MS analysis, data quality assessment, normalization, statistical processing, pathway analysis, and biochemical interpretation. 3) Promote the field towards effective integration and co-evaluation of data collected by various labs, improving consistency of findings, data reporting, database implementation, reproducibility, and re-usability of data. Identify bottlenecks in the integration of metabolomics data (pan-cohorts). 4) Investigate the implementation of novel blood microsampling techniques in clinical metabolomics and establish workflows for meaningful blood micro sample analysis in biomarker discovery and health monitoring. 5) Provide proof of concept for the utility of the developed tools by implementing two case studies on human cohorts following exercise and nutritional intervention.

Data: CORDIS, © European Union

Project objective

Metabolomics provides a real-time view of the metabolic state of the examined samples. The past decade the field showed strong growth, however limitations intrinsic to the field hinder further application in epidemiology level. Key obstacles include: variety of analyte molecular structures, slow marker identification, large differences in concentrations, poor validation, incomplete combination of data from different analyses and fragmentation of research. The consortium brings together scientists from different complementary disciplines and sectors to collaborate and set a research training network, combining infrastructure experience, knowledge and skills. The research scope is to identify the source of problems that hinder development, and recommend measures to overcome these. Training throughresearch will promote a new generation of omics researchers. Networking, joining forces via secondments will enhance research productivity transfer of knowledge. The project will train 10 ESRs in work-packages aiming toward improvement of design of experiment, harmonization of analytical methods, improved Data Mining and biochemical pathway analysis and translational research. Application will be in the study of blood metabolome of exhaustive physical exercise. We aim to study sample stability & preparation (including blood and alternative forms such as dried blood spots), biomarker identification, exploitation of multiple datasets, promote standard procedures, develop robust pipelines, develop and implement machine searchable notations of metadata, central database for data storage, compare datasets, automate cross-laboratory data combination, develop novel algorithms for multidimensional data mining and reconstruct biochemical pathways. The overall goal is to train the ESRs in cutting edge metabolomics research and at the same time provide proof of concept of democratizing metabolomics by the use of patient centric sampling.

Original text from CORDIS.

Participants

  • ARISTOTELIO PANEPISTIMIO THESSALONIKIS · THESSALONIKICoordinatorGreece
  • ACCADEMIA EUROPEA DI BOLZANO · BolzanoItaly
  • AFEKTA TECHNOLOGIES LTD · SiilinjarviFinland
  • ANALYSI · TSESSALONIKIGreece
  • BRUKER DALTONICS GMBH & CO KG · BremenGermany
  • Bright Giant GmbH · JenaGermany
  • CAPITAINER AB · SolnaSweden
  • FASMATECH EPISTIMONIKI KAI TECHNOLOGIKI ANONYMI ETAIREIA · CHALANDRIGreece
  • FRIEDRICH-SCHILLER-UNIVERSITÄT JENA · JENAGermany
  • FUNDACION UNIVERSITARIA SAN PABLO-CEU · MadridSpain
  • HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH · NeuherbergGermany
  • IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE · LondonUnited Kingdom
  • INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT · ParisFrance
  • ITA-SUOMEN YLIOPISTO · KUOPIOFinland
  • MICROMASS UK LTD · Wilmslow CheshireUnited Kingdom
  • Marc Becker · MunchenGermany
  • NEOTERYX LIMITED · HALE ALTRINCHAMCountry levelUnited Kingdom
  • Physikit UG · BerlinGermany
  • TECHNISCHE UNIVERSITAET MUENCHEN · MuenchenGermany
  • THETABIOMARKERS IKE · THESSALONIKIGreece
  • TRAJAN SCIENTIFIC EUROPE LTD · Milton KeynesUnited Kingdom
  • UNIVERSITE DE TOULOUSE · ToulouseFrance
  • Violeitourgiki IKE (IMON International) · AthensGreece

Links

Data: CORDIS, © European Union