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Design of a Type-1 Diabetes Vaccine Candidate Using Edible Plants Expressing a Major Autoantigen

Overview of attention for article published in Frontiers in Plant Science, May 2018
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Title
Design of a Type-1 Diabetes Vaccine Candidate Using Edible Plants Expressing a Major Autoantigen
Published in
Frontiers in Plant Science, May 2018
DOI 10.3389/fpls.2018.00572
Pubmed ID
Authors

Edoardo Bertini, Matilde Merlin, Elisa Gecchele, Andrea Puggia, Annalisa Brozzetti, Mauro Commisso, Alberto Falorni, Vittorio Bini, Victor Klymyuk, Mario Pezzotti, Linda Avesani

Abstract

Type-1 diabetes (T1D) is a metabolic disease involving the autoimmune destruction of insulin-producing pancreatic beta cells. It is often diagnosed by the detection of autoantibodies, typically those recognizing insulin itself or the 65-kDa isoform of glutamic acid decarboxylase (GAD65). Oral insulin can be used to induce systemic immunological tolerance and thus prevent or delay the onset of T1D, suggesting that combination treatments with other autoantigens such as GAD65 could be even more successful. GAD65 has induced oral tolerance and prevented T1D in preclinical studies but it is difficult to produce in sufficient quantities for clinical testing. Here we combined edible plant systems, namely spinach (Spinacia oleracea cv Industra) and red beet (Beta vulgaris cv Moulin Rouge), with the magnICON® expression system to develop a safe, cost-effective and environmentally sustainable platform for the large-scale production of GAD65. The superior red beet platform was extensively characterized in terms of recombinant protein yields and bioequivalence to wild-type plants, and the product was tested for its ability to resist simulated gastric digestion. Our results indicate that red beet plants are suitable for the production of a candidate oral vaccine based on GAD65 for the future preclinical and clinical testing of T1D immunotherapy approaches.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 19%
Researcher 8 19%
Other 2 5%
Student > Ph. D. Student 2 5%
Student > Master 2 5%
Other 2 5%
Unknown 19 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 16%
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 3 7%
Engineering 2 5%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 20 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2018.
All research outputs
#20,520,426
of 23,088,369 outputs
Outputs from Frontiers in Plant Science
#16,560
of 20,692 outputs
Outputs of similar age
#287,215
of 326,256 outputs
Outputs of similar age from Frontiers in Plant Science
#376
of 428 outputs
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So far Altmetric has tracked 20,692 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 428 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.