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DNDI

DRUGS FOR NEGLECTED DISEASES INITIATIVE FONDATION*DNDI
Country: Switzerland
4 Projects, page 1 of 1
  • Funder: European Commission Project Code: 305178
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  • Funder: European Commission Project Code: 223189
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  • Funder: European Commission Project Code: 815628
    Funder Contribution: 8,713,400 EUR

    To target helminth elimination, a drug research and development (R&D) pipeline is needed to provide new chemotherapeutics that effectively eliminate or sterilize adult worms, thus bringing about the paradigm shift necessary to reach the 2030 SDG goals on health. Our consortium proposes to establish a R&D pipeline for anthelminthics targeting nematodes. The focus will be on soil-transmitted helminthiasis and onchocerciasis, since these infections are among the leading neglected tropical diseases. Ground breaking characteristics of the drugs developed within our project are that they will have a unique mechanism of action that, at best, will target multiple nematodes (pan-nematode) with an excellent safety profile, including no efficacy against non-targeted co-endemic species. We will benefit from collaborations with our industrial partners Bayer and Celgene providing preselected compounds to populate the early preclinical stages of the R&D pipeline. Compounds with the best profile will be progressed through preclinical studies. Corallopyronin A, a compound with proven efficacy against essential Wolbachia endosymbionts in filariae that has superiority to the gold standard doxycycline, excellent bioavailability and promising exploratory safety data will undergo state-of-the-art toxicity profiling to advance towards phase 1 trials. We will also evaluate oxfendazol and oxantel pamoate in clinical trials. They have already proven efficacious in animals or humans and will only require clinical trials according to current regulatory guidelines to be implemented. With this strategy, the consortium will ensure that a pipeline of drug candidates is available for treating onchocerciasis, especially should current candidates fail in upcoming clinical trials. Moreover, we will establish a much-needed drug R&D pipeline to treat soil-transmitted helminth infections for which there is currently neither a drug with good efficacy against all species nor any prospects on the horizon.

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  • Funder: European Commission Project Code: 101046314
    Overall Budget: 10,496,100 EURFunder Contribution: 10,496,100 EUR

    The END-VOC consortium will support the European and global response to the COVID-19 pandemic and Variants of Concern (VOC) through well characterised cohorts and linked with existing European and international initiatives. END-VOC consists of 19 partners in Europe (UK, Spain, Italy, Germany, Netherlands, Norway, Italy), South America (Brazil and Peru), Africa (Mozambique, South Africa, Nigeria and 13 ANTICOV African countries), Middle East (Palestine) and Asia (India, Pakistan, Philippines) with a focus on countries affected by VOCs and VOIs. We will elucidate the global circulation of the current and emerging SARS-CoV-2 VOCs and their characteristics, including transmissibility, pathogenicity and propensity to cause reinfection, to support best control strategies and the development of diagnostics; evaluate the impact of VOCs on the effectiveness of different vaccines and vaccination strategies; and assess the implications of VOCs on the choice of optimal treatment options. END-VOC will also investigate how VOCs alter long-term post-infection sequelae and where new VOCs emerge within hosts using our clinical cohorts. We will inform future preparedness and response working closely with international and national public health organisations and existing cohort consortia. Specific beyond state-of-the-art components of END-VOC include the use of novel phylogenetic prediction tools and mathematical modelling; generation of powerful cohorts through sentinel surveillance in low and middle income settings and cohorts of travellers to increase our global reach; use of novel predictive modelling of clinical outcomes by VOC and comorbidity/treatment and evaluation of differences in natural and vaccine immunity by VOC; antiviral screening models within cohorts and an artificial intelligence driven tool for the prediction of long COVID.

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