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Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection
Increasing evidence suggests that in hosts infected with parasites of the Leishmania donovani complex, transmission of infection to the sand fly vector is linked to parasite repositories in the host skin. However, a detailed understanding of the dispersal (the mechanism of spread) and dispersion (th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716623/ https://www.ncbi.nlm.nih.gov/pubmed/34975901 http://dx.doi.org/10.3389/fimmu.2021.795554 |
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author | Doehl, Johannes S. P. Ashwin, Helen Brown, Najmeeyah Romano, Audrey Carmichael, Samuel Pitchford, Jon W. Kaye, Paul M. |
author_facet | Doehl, Johannes S. P. Ashwin, Helen Brown, Najmeeyah Romano, Audrey Carmichael, Samuel Pitchford, Jon W. Kaye, Paul M. |
author_sort | Doehl, Johannes S. P. |
collection | PubMed |
description | Increasing evidence suggests that in hosts infected with parasites of the Leishmania donovani complex, transmission of infection to the sand fly vector is linked to parasite repositories in the host skin. However, a detailed understanding of the dispersal (the mechanism of spread) and dispersion (the observed state of spread) of these obligatory-intracellular parasites and their host phagocytes in the skin is lacking. Using endogenously fluorescent parasites as a proxy, we apply image analysis combined with spatial point pattern models borrowed from ecology to characterize dispersion of parasitized myeloid cells (including Man(R+) and CD11c(+) cells) and predict dispersal mechanisms in a previously described immunodeficient model of L. donovani infection. Our results suggest that after initial seeding of infection in the skin, heavily parasite-infected myeloid cells are found in patches that resemble innate granulomas. Spread of parasites from these initial patches subsequently occurs through infection of recruited myeloid cells, ultimately leading to self-propagating networks of patch clusters. This combination of imaging and ecological pattern analysis to identify mechanisms driving the skin parasite landscape offers new perspectives on myeloid cell behavior following parasitism by L. donovani and may also be applicable to elucidating the behavior of other intracellular tissue-resident pathogens and their host cells. |
format | Online Article Text |
id | pubmed-8716623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87166232021-12-31 Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection Doehl, Johannes S. P. Ashwin, Helen Brown, Najmeeyah Romano, Audrey Carmichael, Samuel Pitchford, Jon W. Kaye, Paul M. Front Immunol Immunology Increasing evidence suggests that in hosts infected with parasites of the Leishmania donovani complex, transmission of infection to the sand fly vector is linked to parasite repositories in the host skin. However, a detailed understanding of the dispersal (the mechanism of spread) and dispersion (the observed state of spread) of these obligatory-intracellular parasites and their host phagocytes in the skin is lacking. Using endogenously fluorescent parasites as a proxy, we apply image analysis combined with spatial point pattern models borrowed from ecology to characterize dispersion of parasitized myeloid cells (including Man(R+) and CD11c(+) cells) and predict dispersal mechanisms in a previously described immunodeficient model of L. donovani infection. Our results suggest that after initial seeding of infection in the skin, heavily parasite-infected myeloid cells are found in patches that resemble innate granulomas. Spread of parasites from these initial patches subsequently occurs through infection of recruited myeloid cells, ultimately leading to self-propagating networks of patch clusters. This combination of imaging and ecological pattern analysis to identify mechanisms driving the skin parasite landscape offers new perspectives on myeloid cell behavior following parasitism by L. donovani and may also be applicable to elucidating the behavior of other intracellular tissue-resident pathogens and their host cells. Frontiers Media S.A. 2021-12-16 /pmc/articles/PMC8716623/ /pubmed/34975901 http://dx.doi.org/10.3389/fimmu.2021.795554 Text en Copyright © 2021 Doehl, Ashwin, Brown, Romano, Carmichael, Pitchford and Kaye https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Doehl, Johannes S. P. Ashwin, Helen Brown, Najmeeyah Romano, Audrey Carmichael, Samuel Pitchford, Jon W. Kaye, Paul M. Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection |
title | Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection |
title_full | Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection |
title_fullStr | Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection |
title_full_unstemmed | Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection |
title_short | Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection |
title_sort | spatial point pattern analysis identifies mechanisms shaping the skin parasite landscape in leishmania donovani infection |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716623/ https://www.ncbi.nlm.nih.gov/pubmed/34975901 http://dx.doi.org/10.3389/fimmu.2021.795554 |
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