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Biomarkers of nanomaterials hazard from multi-layer data

Author

Listed:
  • Vittorio Fortino

    (University of Eastern Finland)

  • Pia Anneli Sofia Kinaret

    (Tampere University
    Tampere University
    University of Helsinki
    Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE))

  • Michele Fratello

    (Tampere University
    Tampere University
    Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE))

  • Angela Serra

    (Tampere University
    Tampere University
    Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE))

  • Laura Aliisa Saarimäki

    (Tampere University
    Tampere University
    Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE))

  • Audrey Gallud

    (Karolinska Institutet)

  • Govind Gupta

    (Karolinska Institutet)

  • Gerard Vales

    (Finnish Institute of Occupational Health)

  • Manuel Correia

    (Technical University of Denmark)

  • Omid Rasool

    (University of Turku, and Åbo Akademi University)

  • Jimmy Ytterberg

    (Karolinska Institutet)

  • Marco Monopoli

    (Royal College of Surgeons in Ireland)

  • Tiina Skoog

    (Karolinska Institutet)

  • Peter Ritchie

    (Institute of Occupational Medicine)

  • Sergio Moya

    (CIC biomaGUNE)

  • Socorro Vázquez-Campos

    (Leitat Technological Center)

  • Richard Handy

    (University of Plymouth)

  • Roland Grafström

    (Karolinska Institutet
    Division of Toxicology, Misvik Biology)

  • Lang Tran

    (Institute of Occupational Medicine)

  • Roman Zubarev

    (Karolinska Institutet)

  • Riitta Lahesmaa

    (University of Turku, and Åbo Akademi University)

  • Kenneth Dawson

    (University College Dublin)

  • Katrin Loeschner

    (Technical University of Denmark)

  • Erik Husfeldt Larsen

    (Technical University of Denmark)

  • Fritz Krombach

    (Ludwig-Maximilians-Universität München)

  • Hannu Norppa

    (Finnish Institute of Occupational Health)

  • Juha Kere

    (Karolinska Institutet)

  • Kai Savolainen

    (Finnish Institute of Occupational Health)

  • Harri Alenius

    (Karolinska Institutet
    University of Helsinki)

  • Bengt Fadeel

    (Karolinska Institutet)

  • Dario Greco

    (Tampere University
    Tampere University
    University of Helsinki
    Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE))

Abstract

There is an urgent need to apply effective, data-driven approaches to reliably predict engineered nanomaterial (ENM) toxicity. Here we introduce a predictive computational framework based on the molecular and phenotypic effects of a large panel of ENMs across multiple in vitro and in vivo models. Our methodology allows for the grouping of ENMs based on multi-omics approaches combined with robust toxicity tests. Importantly, we identify mRNA-based toxicity markers and extensively replicate them in multiple independent datasets. We find that models based on combinations of omics-derived features and material intrinsic properties display significantly improved predictive accuracy as compared to physicochemical properties alone.

Suggested Citation

  • Vittorio Fortino & Pia Anneli Sofia Kinaret & Michele Fratello & Angela Serra & Laura Aliisa Saarimäki & Audrey Gallud & Govind Gupta & Gerard Vales & Manuel Correia & Omid Rasool & Jimmy Ytterberg & , 2022. "Biomarkers of nanomaterials hazard from multi-layer data," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31609-5
    DOI: 10.1038/s41467-022-31609-5
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