Functional complexity of the Leishmania granuloma and the potential of in silico modelling
AbstractIn human and canine visceral leishmaniasis and in various experimental models of this disease, host resistance is strongly linked to efficient granuloma development. However, it is unknown exactly how the granuloma microenvironment executes an effective antileishmanial response. Recent studi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2013-02-01
|
| Series: | Frontiers in Immunology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fimmu.2013.00035/full |
| _version_ | 1818249572444536832 |
|---|---|
| author | John eMoore Daniel eMoyo Daniel eMoyo Lynette eBeattie Paul eAndrews Jon eTimmis Jon eTimmis Paul eKaye |
| author_facet | John eMoore Daniel eMoyo Daniel eMoyo Lynette eBeattie Paul eAndrews Jon eTimmis Jon eTimmis Paul eKaye |
| author_sort | John eMoore |
| collection | DOAJ |
| description | AbstractIn human and canine visceral leishmaniasis and in various experimental models of this disease, host resistance is strongly linked to efficient granuloma development. However, it is unknown exactly how the granuloma microenvironment executes an effective antileishmanial response. Recent studies, including using advanced imaging techniques have improved our understanding of granuloma biology, at the cellular level, highlighting heterogeneity in granuloma development and function, and hinting at complex cellular, temporal and spatial dynamics. In this mini-review, we discuss the factors involved in the formation and function of L.donovani-induced hepatic granulomas, as well as their importance in protecting against inflammation-associated tissue damage and the generation of immunity to rechallenge. Finally, we discuss the role that computational, agent-based models may play to answer outstanding questions within the field. |
| first_indexed | 2024-12-12T15:38:38Z |
| format | Article |
| id | doaj.art-3125cbed4cb24378bc1dfc28a35bb776 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-12-12T15:38:38Z |
| publishDate | 2013-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-3125cbed4cb24378bc1dfc28a35bb7762022-12-22T00:19:57ZengFrontiers Media S.A.Frontiers in Immunology1664-32242013-02-01410.3389/fimmu.2013.0003540372Functional complexity of the Leishmania granuloma and the potential of in silico modellingJohn eMoore0Daniel eMoyo1Daniel eMoyo2Lynette eBeattie3Paul eAndrews4Jon eTimmis5Jon eTimmis6Paul eKaye7Hull York Medical School and Department of Biology, University of YorkHull York Medical School and Department of Biology, University of YorkDepartment of Computer Science, University of YorkHull York Medical School and Department of Biology, University of YorkDepartment of Computer Science, University of YorkDepartment of Computer Science, University of YorkDepartment of Electronics, University of YorkHull York Medical School and Department of Biology, University of YorkAbstractIn human and canine visceral leishmaniasis and in various experimental models of this disease, host resistance is strongly linked to efficient granuloma development. However, it is unknown exactly how the granuloma microenvironment executes an effective antileishmanial response. Recent studies, including using advanced imaging techniques have improved our understanding of granuloma biology, at the cellular level, highlighting heterogeneity in granuloma development and function, and hinting at complex cellular, temporal and spatial dynamics. In this mini-review, we discuss the factors involved in the formation and function of L.donovani-induced hepatic granulomas, as well as their importance in protecting against inflammation-associated tissue damage and the generation of immunity to rechallenge. Finally, we discuss the role that computational, agent-based models may play to answer outstanding questions within the field.http://journal.frontiersin.org/Journal/10.3389/fimmu.2013.00035/fullGranulomaInflammationLeishmaniasis, VisceralimagingIn silico modeling |
| spellingShingle | John eMoore Daniel eMoyo Daniel eMoyo Lynette eBeattie Paul eAndrews Jon eTimmis Jon eTimmis Paul eKaye Functional complexity of the Leishmania granuloma and the potential of in silico modelling Frontiers in Immunology Granuloma Inflammation Leishmaniasis, Visceral imaging In silico modeling |
| title | Functional complexity of the Leishmania granuloma and the potential of in silico modelling |
| title_full | Functional complexity of the Leishmania granuloma and the potential of in silico modelling |
| title_fullStr | Functional complexity of the Leishmania granuloma and the potential of in silico modelling |
| title_full_unstemmed | Functional complexity of the Leishmania granuloma and the potential of in silico modelling |
| title_short | Functional complexity of the Leishmania granuloma and the potential of in silico modelling |
| title_sort | functional complexity of the leishmania granuloma and the potential of in silico modelling |
| topic | Granuloma Inflammation Leishmaniasis, Visceral imaging In silico modeling |
| url | http://journal.frontiersin.org/Journal/10.3389/fimmu.2013.00035/full |
| work_keys_str_mv | AT johnemoore functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling AT danielemoyo functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling AT danielemoyo functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling AT lynetteebeattie functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling AT pauleandrews functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling AT jonetimmis functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling AT jonetimmis functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling AT paulekaye functionalcomplexityoftheleishmaniagranulomaandthepotentialofinsilicomodelling |