Fachbereich Veterinärmedizin



    Case studies on genetically modified organisms (GMOs): Potential risk scenarios and associated health indicators (2017)

    Zeitschriftenartikel / wissenschaftlicher Beitrag
    De Santis, Barbara
    Stockhofe, Norbert
    Wal, Jean-Michel
    Weesendorp, Eefke
    Lallès, Jean-Paul
    van Dijk, Jeroen
    Kok, Esther
    De Giacomo, Marzia
    Einspanier, Ralf (WE 3)
    Onori, Roberta
    Brera, Carlo
    Bikker, Paul
    van der Meulen, Jan
    Kleter, Gijs
    Food and chemical toxicology — S. 1
    ISSN: 0278-6915
    URL (Volltext): http://dx.doi.org/10.1016/j.fct.2017.08.033
    DOI: 10.1016/j.fct.2017.08.033
    Pubmed: 28859885
    Institut für Veterinär-Biochemie

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    Abstract / Zusammenfassung

    Within the frame of the EU-funded MARLON project, background data were reviewed to explore the
    possibility of measuring health indicators during post-market monitoring for potential effects of feeds,
    particularly genetically modified (GM) feeds, on livestock animal health, if applicable. Four case studies
    (CSs) of potential health effects on livestock were framed and the current knowledge of a possible effect
    of GM feed was reviewed. Concerning allergenicity (CS-1), there are no case-reports of allergic reactions
    or immunotoxic effects resulting from GM feed consumption as compared with non-GM feed. The
    likelihood of horizontal gene transfer (HGT; CS-2) of GMO-related DNA to different species is not
    different from that for other DNA and is unlikely to raise health concerns. Concerning mycotoxins (CS-3),
    insect-resistant GM maize may reduce fumonisins contamination as a health benefit, yet other Fusarium
    toxins and aflatoxins show inconclusive results. For nutritionally altered crops (CS-4), the genetic
    modifications applied lead to compositional changes which require special considerations of their
    nutritional impacts.
    No health indicators were thus identified except for possible beneficial impacts of reduced mycotoxins
    and nutritional enhancement. More generally, veterinary health data should ideally be linked with animal
    exposure information so as to be able to establish cause-effect relationships.
    © 2017 Published by Elsevier Ltd.