Literature DB >> 27105772

Assessment of potential adjuvanticity of Cry proteins.

Saurabh S Joshi1, Brian Barnett2, Nancy G Doerrer3, Kevin Glenn4, Rod A Herman5, Corinne Herouet-Guicheney6, Penny Hunst7, John Kough8, Gregory S Ladics9, Scott McClain10, Sabitha Papineni11, Lars K Poulsen12, Jean-Baptiste Rascle13, Ai-Lin Tao14, Ronald van Ree15, Jason Ward16, Christal C Bowman17.   

Abstract

Genetically modified (GM) crops have achieved success in the marketplace and their benefits extend beyond the overall increase in harvest yields to include lowered use of insecticides and decreased carbon dioxide emissions. The most widely grown GM crops contain gene/s for targeted insect protection, herbicide tolerance, or both. Plant expression of Bacillus thuringiensis (Bt) crystal (Cry) insecticidal proteins have been the primary way to impart insect resistance in GM crops. Although deemed safe by regulatory agencies globally, previous studies have been the basis for discussions around the potential immuno-adjuvant effects of Cry proteins. These studies had limitations in study design. The studies used animal models with extremely high doses of Cry proteins, which when given using the ig route were co-administered with an adjuvant. Although the presumption exists that Cry proteins may have immunostimulatory activity and therefore an adjuvanticity risk, the evidence shows that Cry proteins are expressed at very low levels in GM crops and are unlikely to function as adjuvants. This conclusion is based on critical review of the published literature on the effects of immunomodulation by Cry proteins, the history of safe use of Cry proteins in foods, safety of the Bt donor organisms, and pre-market weight-of-evidence-based safety assessments for GM crops.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adjuvant; Bacillus thuringiensis; Cry proteins; Food/feed safety; GM crops; Genetic modification

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Year:  2016        PMID: 27105772     DOI: 10.1016/j.yrtph.2016.04.005

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  1 in total

1.  Functional classification of protein toxins as a basis for bioinformatic screening.

Authors:  Surendra S Negi; Catherine H Schein; Gregory S Ladics; Henry Mirsky; Peter Chang; Jean-Baptiste Rascle; John Kough; Lieven Sterck; Sabitha Papineni; Joseph M Jez; Lucilia Pereira Mouriès; Werner Braun
Journal:  Sci Rep       Date:  2017-10-24       Impact factor: 4.379

  1 in total

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