Literature DB >> 32284382

The Added Value of Longitudinal Imaging for Preclinical In Vivo Efficacy Testing of Therapeutic Compounds against Cerebral Cryptococcosis.

Greetje Vande Velde1,2, Uwe Himmelreich3,2, Liesbeth Vanherp3,2, Jennifer Poelmans3,2, Amy Hillen3,2, Guilhem Janbon4, Matthias Brock5, Katrien Lagrou6,7.   

Abstract

Brain infections with Cryptococcus neoformans are associated with significant morbidity and mortality. Cryptococcosis typically presents as meningoencephalitis or fungal mass lesions called cryptococcomas. Despite frequent in vitro discoveries of promising novel antifungals, the clinical need for drugs that can more efficiently treat these brain infections remains. A crucial step in drug development is the evaluation of in vivo drug efficacy in animal models. This mainly relies on survival studies or postmortem analyses in large groups of animals, but these techniques only provide information on specific organs of interest at predefined time points. In this proof-of-concept study, we validated the use of noninvasive preclinical imaging to obtain longitudinal information on the therapeutic efficacy of amphotericin B or fluconazole monotherapy in meningoencephalitis and cryptococcoma mouse models. Bioluminescence imaging enabled the rapid in vitro and in vivo evaluation of drug efficacy, while complementary high-resolution anatomical information obtained by magnetic resonance imaging of the brain allowed a precise assessment of the extent of infection and lesion growth rates. We demonstrated a good correlation between both imaging readouts and the fungal burden in various organs. Moreover, we identified potential pitfalls associated with the interpretation of therapeutic efficacy based solely on postmortem studies, demonstrating the added value of this noninvasive dual imaging approach compared to standard mortality curves or fungal load endpoints. This novel preclinical imaging platform provides insights in the dynamic aspects of the therapeutic response and facilitates a more efficient and accurate translation of promising antifungal compounds from bench to bedside.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  animal models; antifungal therapy; bioluminescence imaging; central nervous system infections; cryptococcosis; in vivo; magnetic resonance imaging; noninvasive imaging

Mesh:

Substances:

Year:  2020        PMID: 32284382      PMCID: PMC7318040          DOI: 10.1128/AAC.00070-20

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  52 in total

Review 1.  Pharmacokinetics of antifungal drugs: practical implications for optimized treatment of patients.

Authors:  Romuald Bellmann; Piotr Smuszkiewicz
Journal:  Infection       Date:  2017-07-12       Impact factor: 3.553

Review 2.  The antifungal pipeline: a reality check.

Authors:  John R Perfect
Journal:  Nat Rev Drug Discov       Date:  2017-05-12       Impact factor: 84.694

Review 3.  Cryptococcal meningitis: epidemiology, immunology, diagnosis and therapy.

Authors:  Peter R Williamson; Joseph N Jarvis; Anil A Panackal; Matthew C Fisher; Síle F Molloy; Angela Loyse; Thomas S Harrison
Journal:  Nat Rev Neurol       Date:  2016-11-25       Impact factor: 42.937

4.  Outcomes of central nervous system cryptococcosis vary with host immune function: results from a multi-center, prospective study.

Authors:  M Hong Nguyen; Shahid Husain; Cornelius J Clancy; James E Peacock; Chien-Ching Hung; Dimitrios P Kontoyiannis; Arthur J Morris; Christopher H Heath; Marilyn Wagener; Victor L Yu
Journal:  J Infect       Date:  2010-08-21       Impact factor: 6.072

5.  Synthesis-enabled functional group deletions reveal key underpinnings of amphotericin B ion channel and antifungal activities.

Authors:  Daniel S Palacios; Ian Dailey; David M Siebert; Brandon C Wilcock; Martin D Burke
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-28       Impact factor: 11.205

6.  Cryptococcosis-the impact of delay to diagnosis.

Authors:  C Aye; A Henderson; H Yu; R Norton
Journal:  Clin Microbiol Infect       Date:  2016-05-10       Impact factor: 8.067

7.  Natamycin blocks fungal growth by binding specifically to ergosterol without permeabilizing the membrane.

Authors:  Yvonne M te Welscher; Hendrik H ten Napel; Miriam Masià Balagué; Cleiton M Souza; Howard Riezman; Ben de Kruijff; Eefjan Breukink
Journal:  J Biol Chem       Date:  2007-12-29       Impact factor: 5.157

8.  Characterization of BBB permeability in a preclinical model of cryptococcal meningoencephalitis using magnetic resonance imaging.

Authors:  Manjunath P Pai; Unal Sakoglu; Steven L Peterson; C Richard Lyons; Rohit Sood
Journal:  J Cereb Blood Flow Metab       Date:  2008-12-10       Impact factor: 6.200

Review 9.  Overview of vertebrate animal models of fungal infection.

Authors:  Tobias M Hohl
Journal:  J Immunol Methods       Date:  2014-04-04       Impact factor: 2.303

Review 10.  Cryptococcal meningitis: epidemiology and therapeutic options.

Authors:  Derek J Sloan; Victoria Parris
Journal:  Clin Epidemiol       Date:  2014-05-13       Impact factor: 4.790

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