Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests82citations

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Chart of shared publication
Rosati, Giulio
1 / 7 shared
Junot, Christophe
1 / 1 shared
Castelli, Florence Anne
1 / 1 shared
Lefebvre, Thibaud
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Simon, Stéphanie
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Marrugo-Ramírez, Jose
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Merkoçi, Arben
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Moguet, Christian
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Chart of publication period
2022

Co-Authors (by relevance)

  • Rosati, Giulio
  • Junot, Christophe
  • Castelli, Florence Anne
  • Lefebvre, Thibaud
  • Simon, Stéphanie
  • Volland, Hervé
  • Fenaille, François
  • Marrugo-Ramírez, Jose
  • Merkoçi, Arben
  • Moguet, Christian
OrganizationsLocationPeople

article

Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

  • Rosati, Giulio
  • Junot, Christophe
  • Castelli, Florence Anne
  • Lefebvre, Thibaud
  • Simon, Stéphanie
  • Volland, Hervé
  • Fenaille, François
  • Fuentes, Celia
  • Marrugo-Ramírez, Jose
  • Merkoçi, Arben
  • Moguet, Christian
Abstract

<jats:title>Abstract</jats:title><jats:p>Metabolomics refers to the large-scale detection, quantification, and analysis of small molecules (metabolites) in biological media. Although metabolomics, alone or combined with other omics data, has already demonstrated its relevance for patient stratification in the frame of research projects and clinical studies, much remains to be done to move this approach to the clinical practice. This is especially true in the perspective of being applied to personalized/precision medicine, which aims at stratifying patients according to their risk of developing diseases, and tailoring medical treatments of patients according to individual characteristics in order to improve their efficacy and limit their toxicity. In this review article, we discuss the main challenges linked to analytical chemistry that need to be addressed to foster the implementation of metabolomics in the clinics and the use of the data produced by this approach in personalized medicine. First of all, there are already well-known issues related to untargeted metabolomics workflows at the levels of data production (lack of standardization), metabolite identification (small proportion of annotated features and identified metabolites), and data processing (from automatic detection of features to multi-omic data integration) that hamper the inter-operability and reusability of metabolomics data. Furthermore, the outputs of metabolomics workflows are complex molecular signatures of few tens of metabolites, often with small abundance variations, and obtained with expensive laboratory equipment. It is thus necessary to simplify these molecular signatures so that they can be produced and used in the field. This last point, which is still poorly addressed by the metabolomics community, may be crucial in a near future with the increased availability of molecular signatures of medical relevance and the increased societal demand for participatory medicine.</jats:p><jats:p><jats:bold>Graphical abstract</jats:bold></jats:p>

Topics
  • impedance spectroscopy
  • toxicity