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Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models
Filariasis is a global health problem targeted for elimination. Curative drugs (macrofilaricides) are required to accelerate elimination. Candidate macrofilaricides require testing in preclinical models of filariasis. The incidence of infection failures and high intra-group variation means that larg...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897408/ https://www.ncbi.nlm.nih.gov/pubmed/29651095 http://dx.doi.org/10.1038/s41598-018-24294-2 |
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author | Marriott, Amy E. Sjoberg, Hanna Tyrer, Hayley Gamble, Joanne Murphy, Emma Archer, John Steven, Andrew Taylor, Mark J. Turner, Joseph D. |
author_facet | Marriott, Amy E. Sjoberg, Hanna Tyrer, Hayley Gamble, Joanne Murphy, Emma Archer, John Steven, Andrew Taylor, Mark J. Turner, Joseph D. |
author_sort | Marriott, Amy E. |
collection | PubMed |
description | Filariasis is a global health problem targeted for elimination. Curative drugs (macrofilaricides) are required to accelerate elimination. Candidate macrofilaricides require testing in preclinical models of filariasis. The incidence of infection failures and high intra-group variation means that large group sizes are required for drug testing. Further, a lack of accurate, quantitative adult biomarkers results in protracted timeframes or multiple groups for endpoint analyses. Here we evaluate intra-vital ultrasonography (USG) to identify B. malayi in the peritonea of gerbils and CB.17 SCID mice and assess prognostic value in determining drug efficacy. USG operators, blinded to infection status, could detect intra-peritoneal filarial dance sign (ipFDS) with 100% specificity and sensitivity, when >5 B. malayi worms were present in SCID mice. USG ipFDS was predictive of macrofilaricidal activity in randomized, blinded studies comparing flubendazole, albendazole and vehicle-treated SCID mice. Semi-quantification of ipFDS could predict worm burden >10 with 87–100% accuracy in SCID mice or gerbils. We estimate that pre-assessment of worm burden by USG could reduce intra-group variation, obviate the need for surgical implantations in gerbils, and reduce total SCID mouse use by 40%. Thus, implementation of USG may reduce animal use, refine endpoints and negate invasive techniques for assessing anti-filarial drug efficacy. |
format | Online Article Text |
id | pubmed-5897408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58974082018-04-20 Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models Marriott, Amy E. Sjoberg, Hanna Tyrer, Hayley Gamble, Joanne Murphy, Emma Archer, John Steven, Andrew Taylor, Mark J. Turner, Joseph D. Sci Rep Article Filariasis is a global health problem targeted for elimination. Curative drugs (macrofilaricides) are required to accelerate elimination. Candidate macrofilaricides require testing in preclinical models of filariasis. The incidence of infection failures and high intra-group variation means that large group sizes are required for drug testing. Further, a lack of accurate, quantitative adult biomarkers results in protracted timeframes or multiple groups for endpoint analyses. Here we evaluate intra-vital ultrasonography (USG) to identify B. malayi in the peritonea of gerbils and CB.17 SCID mice and assess prognostic value in determining drug efficacy. USG operators, blinded to infection status, could detect intra-peritoneal filarial dance sign (ipFDS) with 100% specificity and sensitivity, when >5 B. malayi worms were present in SCID mice. USG ipFDS was predictive of macrofilaricidal activity in randomized, blinded studies comparing flubendazole, albendazole and vehicle-treated SCID mice. Semi-quantification of ipFDS could predict worm burden >10 with 87–100% accuracy in SCID mice or gerbils. We estimate that pre-assessment of worm burden by USG could reduce intra-group variation, obviate the need for surgical implantations in gerbils, and reduce total SCID mouse use by 40%. Thus, implementation of USG may reduce animal use, refine endpoints and negate invasive techniques for assessing anti-filarial drug efficacy. Nature Publishing Group UK 2018-04-12 /pmc/articles/PMC5897408/ /pubmed/29651095 http://dx.doi.org/10.1038/s41598-018-24294-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Marriott, Amy E. Sjoberg, Hanna Tyrer, Hayley Gamble, Joanne Murphy, Emma Archer, John Steven, Andrew Taylor, Mark J. Turner, Joseph D. Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models |
title | Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models |
title_full | Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models |
title_fullStr | Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models |
title_full_unstemmed | Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models |
title_short | Validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models |
title_sort | validation of ultrasound bioimaging to predict worm burden and treatment efficacy in preclinical filariasis drug screening models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897408/ https://www.ncbi.nlm.nih.gov/pubmed/29651095 http://dx.doi.org/10.1038/s41598-018-24294-2 |
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