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 PMID:31882874  

C. elegans expressing D76N β2-microglobulin: a model for in vivo screening of drug candidates targeting amyloidosis.

Giulia Faravelli | Sara Raimondi | Loredana Marchese | Frederick A Partridge | Cristina Soria | P Patrizia Mangione | Diana Canetti | Michele Perni | Francesco A Aprile | Irene Zorzoli | Elia Di Schiavi | David A Lomas | Vittorio Bellotti | David B Sattelle | Sofia Giorgetti
Scientific reports | 2019

The availability of a genetic model organism with which to study key molecular events underlying amyloidogenesis is crucial for elucidating the mechanism of the disease and the exploration of new therapeutic avenues. The natural human variant of β2-microglobulin (D76N β2-m) is associated with a fatal familial form of systemic amyloidosis. Hitherto, no animal model has been available for studying in vivo the pathogenicity of this protein. We have established a transgenic C. elegans line, expressing the human D76N β2-m variant. Using the INVertebrate Automated Phenotyping Platform (INVAPP) and the algorithm Paragon, we were able to detect growth and motility impairment in D76N β2-m expressing worms. We also demonstrated the specificity of the β2-m variant in determining the pathological phenotype by rescuing the wild type phenotype when β2-m expression was inhibited by RNA interference (RNAi). Using this model, we have confirmed the efficacy of doxycycline, an inhibitor of the aggregation of amyloidogenic proteins, in rescuing the phenotype. In future, this C. elegans model, in conjunction with the INVAPP/Paragon system, offers the prospect of high-throughput chemical screening in the search for new drug candidates.

Pubmed ID: 31882874

Research resources used in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MR/N024842/1
  • Agency: Medical Research Council, United Kingdom
    Id: MR/R016984/1
  • Agency: NIH HHS, United States
    Id: P40 OD010440

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MATLAB (tool)

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Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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