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Team 1 – Signaling in environmental and drug toxicology

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The Team 1 Signaling in environmental and drug toxicology is composed by three groups with their own specificities.

Meet Our Specialised Teams

Experimental Toxicology

System Toxicology

Genomic Epidemiology of Multifactorial DiseaseS

METATOX (Experimental toxicology)

Our team identifies the mechanisms of action activated by a variety of environmental pollutants, alone or in combination, to understand their influence on the incidence of various pathologies (cancer, liver diseases, neurodegenerative diseases) in order to identify biomarkers. We use and develop cellular, animal and computational models over several main lines of research:

1) Contextual studies to study the sensitizing effects of persistent organic pollutants such as Seveso dioxin on the development of liver fibrosis or demyelination in the central nervous system. We use rodent models and more recently the nematode C. elegans.

2) We are also developing innovative cell models to study, for example, the influence of adipocytes on tumor metabolic phenotype or the effect of inflammatory cells on hepatocyte function.

3) We leverage our data produced in vivo and in vitro to develop computational models of system toxicology. We develop network biology and predictive toxicology models by integrating these data (into European or national projects) providing potential links between the exposure to environmental chemicals and adverse health outcomes.

Keywords: persistent organic pollutants; AhR; metabolic disruption; cancer; chronic liver diseases; computational models

Texte alternatif, pour accessibilité

Team & group leader

Group members

  • Lawrence Aggerbeck, CNRS researcher, DR- CNRS, MetaTox
    lawrence.aggerbeck@-Code to remove to avoid SPAM-u-paris.fr, +33 1 42 86 20 73, room P435
  • Martine Aggerbeck, CNRS researcher, CR-CNRS, MetaTox
    martine.aggerbeck@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 55, room P431
  • Sana Al Awabdh, lecturer, MetaTox
    sana.al-awabdh@-Code to remove to avoid SPAM-u-paris.fr, +33 1 42 86 4376
  • Karine Andréau, lecturer, MetaTox
    karine.andreau@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 62, room P434
  • Robert Barouki, Laboratory Director, MetaTox
    robert.barouki@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 70, room P460
  • Chantal Benelli, INSERM researcher, CR- INSERM, MetaTox
    chantal.benelli@-Code to remove to avoid SPAM-u-paris.fr, +33 1 42 86 38 65, room P461
  • Etienne Blanc, Associate professor, MCU Paris Descartes, Europe department, MetaTox
    etienne.blanc@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 57, room P434
  • Sylvie Bortoli, University researcher, IR, Europe department, MetaTox
    sylvie.bortoli@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 75, room P461
  • Caroline Chauvet, Associate Professor, MetaTox
    caroline.chauvet@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 76, room P433
  • Marion Falabergue, PhD student, MetaTox
  • Claude Forest, INSERM researcher, DR- INSERM, MetaTox
    claude.forest@-Code to remove to avoid SPAM-u-paris.fr, +33 1 42 86 22 21, room R286
  • Min-Ji Kim, Assistant Professor, MetaTox, Systox
    min-ji.kim@-Code to remove to avoid SPAM-inserm.fr, +33 1 76 53 43 77, room P434
  • Meriem Koual, Associate professor, MCU-PH, MetaTox
  • Marie-Aude Le Frere-Belda, University Professor, MetaTox
    marie-aude.le-frere-belda@-Code to remove to avoid SPAM-aphp.fr
  • Béatrice Le Grand, Paris Descartes Technician, MetaTox
    beatrice.le-grand@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 57, room P434
  • Fabrice Lecuru, University Professor, MetaTox
    fabrice.lecuru@-Code to remove to avoid SPAM-egp.aphp.fr
  • Philippe Noirez, Associate professor, MCU Paris Descartes, MetaTox
    philippe.noirez@-Code to remove to avoid SPAM-u-paris.fr
  • Sylvia Sanquer, AP-HP, MetaTox
  • Arnaud Tête, Senior Engineer, MetaTox
    arnaud.tete@-Code to remove to avoid SPAM-u-paris.fr
  • Céline Tomkiewicz-Raulet, INSERM Engineer, MetaTox
    Celine.Tomkiewicz-raulet@-Code to remove to avoid SPAM-u-paris.fr, +33 1 76 53 43 55, room P431

SYSTOX (System Toxicology)

Group leader

SysTox website

Group members

  • Nour Ayoub, PhD student, MetaTox, Systox
  • Antoine Girardon, INSERM Engineer, MetaTox, Systox
    antoine.girardon@-Code to remove to avoid SPAM-inserm.fr
  • Théo Jamay, INSERM Engineer, MetaTox, Systox
    theo.jamay@-Code to remove to avoid SPAM-inserm.fr
  • Thomas Jaylet, PhD Student, MetaTox, Systox
    thomas.jaylet@-Code to remove to avoid SPAM-etu.u-paris.fr
  • Florence Jornod, Engineer, MetaTox, Systox
  • Emma Juillet, INSERM Engineer, MetaTox, Systox
    emma.juillet@-Code to remove to avoid SPAM-inserm.fr
  • Min-Ji Kim, Assistant Professor, MetaTox, Systox
    min-ji.kim@-Code to remove to avoid SPAM-inserm.fr, +33 1 76 53 43 77, room P434
  • Estelle Lecat, Assistant Engineer, MetaTox, Systox
  • Patricia Margaritte-Jeannin, INSERM Engineer, MetaTox, Systox
    patricia.jeannin@-Code to remove to avoid SPAM-inserm.fr
  • Hélène Munier-Lehmann, INSERM researcher -CR HC, MetaTox, Systox

GEMS (Genomic Epidemiology of Multifactorial DiseaseS)

The GEMS group develops statistical methods and strategies in genomic epidemiology to identify genes and gene-exposome interactions involved in multifactorial diseases (asthma, allergic diseases, melanoma). This research program integrates multi-omics data (genomics, epigenomics, transcriptomics, metabolomics) together with biological knowledge, through pathway and network analyses, to provide further insight into the molecular mechanisms involved in the disease process.

Keywwords: Genome-wide association studies, gene-environment interactions, statistical genetics, software development, integration of omics, asthma, allergic diseases, melanoma

Group leader

  • Florence Demenais, INSERM researcher, DR- INSERM, MetaTox
    florence.demenais@-Code to remove to avoid SPAM-inserm.fr

Group members

  • Emmanuelle Bouzigon, INSERM researcher, CR- INSERM, MetaTox
    emmanuelle.bouzigon@-Code to remove to avoid SPAM-inserm.fr
  • Marie-Hélène Dizier, INSERM researcher, CR- INSERM, MetaTox
    marie-helene.dizier@-Code to remove to avoid SPAM-inserm.fr
  • Eve Maubec, University Professor, MetaTox
    eve.maubec@-Code to remove to avoid SPAM-inserm.fr

Job offers

  • Assistant Ingénieur/Ingénieur d’Etudes, Immunotoxicité In-vitro/In-vivo. Poste d’une durée 2 ans à pourvoir immédiatement (avril-mai 2023) : profil

Main publications

  • Multiple basal cell carcinomas revealing a biallelic MUTYH gene mutation in a 39-year-old male patient.Tzoumpa S, Sevenet N, Bejar-Ardiles CL, Villette B, Zumelzu C, Benamouzig R, Caux F, Maubec E J Eur Acad Dermatol Venereol
  • Impact of systemic therapies in metastatic melanoma of unknown primary: A study from MELBASE, a French multicentric prospective cohort.Rousset P, Dalle S, Mortier L, Dereure O, Dalac S, Dutriaux C, Leccia MT, Legoupil D, Brunet-Possenti F, De Quatrebarbes J, Grob JJ, Saiag P, Maubec E, Stoebner PE, Granel-Brocard F, Arnault JP, Allayous C, Oriano B, Lebbe C, Montaudié H J Am Acad Dermatol
  • Application of AOPs to assist regulatory assessment of chemical risks – Case studies, needs and recommendations.Bajard L, Adamovsky O, Audouze K, Baken K, Barouki R, Beltman JB, Beronius A, Bonefeld-Jørgensen EC, Cano-Sancho G, de Baat ML, Di Tillio F, Fernández MF, FitzGerald RE, Gundacker C, Hernández AF, Hilscherova K, Karakitsios S, Kuchovska E, Long M, Luijten M, Majid S, Marx-Stoelting P, Mustieles V, Negi CK, Sarigiannis D, Scholz S, Sovadinova I, Stierum R, Tanabe S, Tollefsen KE, van den Brand AD, Vogs C, Wielsøe M, Wittwehr C, Blaha L Environ Res
  • Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness.Benoit L, Koual M, Tomkiewicz C, Bats AS, Antignac JP, Coumoul X, Barouki R, Cano-Sancho G Environ Int
  • Safety and efficacy of nivolumab, an anti-PD1 immunotherapy, in patients with advanced basal cell carcinoma, after failure or intolerance to sonic Hedgehog inhibitors: UNICANCER AcSé NIVOLUMAB trial.Véron M, Chevret S, Grob JJ, Beylot-Barry M, Saiag P, Fléchon A, You B, Maubec E, Jouary T, Toulemonde E, Jamme P, Gambotti L, Lamrani-Ghaouti A, Dupuy A, Lebbe C, Seguin NB, Houede N, Leccia MT, Le Du F, de Pontville M, Gaudy-Marquestre C, Guillot B, Simon C, Marabelle A, Mortier L Eur J Cancer
  • Application of artificial intelligence to decode the relationships between smell, olfactory receptors and small molecules.Achebouche R, Tromelin A, Audouze K, Taboureau O Sci Rep
  • See all publications