Modelling variability in lymphatic filariasis: macrofilarial dynamics in the Brugia pahangi--cat model.
Identifieur interne : 00B090 ( Main/Exploration ); précédent : 00B089; suivant : 00B091Modelling variability in lymphatic filariasis: macrofilarial dynamics in the Brugia pahangi--cat model.
Auteurs : E. Michael ; B T Grenfell ; V S Isham ; D A Denham ; D A BundySource :
- Proceedings of the Royal Society B: Biological Sciences [ 0962-8452 ] ; 1998.
Descripteurs français
- KwdFr :
- MESH :
- immunologie : Filariose lymphatique, Maladies des chats.
- médecine vétérinaire : Filariose lymphatique.
- parasitologie : Filariose lymphatique, Maladies des chats.
- Animaux, Brugia pahangi, Chats, Interactions hôte-parasite, Modèles biologiques, Modèles statistiques.
English descriptors
- KwdEn :
- MESH :
- immunology : Cat Diseases, Elephantiasis, Filarial.
- parasitology : Cat Diseases, Elephantiasis, Filarial.
- veterinary : Elephantiasis, Filarial.
- Animals, Brugia pahangi, Cats, Host-Parasite Interactions, Models, Biological, Models, Statistical.
Abstract
A striking feature of lymphatic filariasis is the considerable heterogeneity in infection burden observed between hosts, which greatly complicates the analysis of the population dynamics of the disease. Here, we describe the first application of the moment closure equation approach to model the sources and the impact of this heterogeneity for macrofilarial population dynamics. The analysis is based on the closest laboratory equivalent of the life cycle and immunology of infection in humans--cats chronically infected with the filarial nematode Brugia pahangi. Two sets of long-term experiments are analysed: hosts given either single primary infections or given repeat infections. We begin by quantifying changes in the mean and aggregation of adult parasites (inversely measured by the negative binomial parameter, kappa in cohorts of hosts using generalized linear models. We then apply simple stochastic models to interpret observed patterns. The models and empirical data indicate that parasite aggregation tracks the decline in the mean burden with host age in primary infections. Conversely, in repeat infections, aggregation increases as the worm burden declines with experience of infection. The results show that the primary infection variability is consistent with heterogeneities in parasite survival between hosts. By contrast, the models indicate that the reduction in parasite variability with time in repeat infections is most likely due to the 'filtering' effect of a strong, acquired immune response, which gradually acts to remove the initial variability generated by heterogeneities in larval mortality. We discuss this result in terms of the homogenizing effect of host immunity-driven density-dependence on macrofilarial burden in older hosts.
Url:
PubMed: 9474798
PubMed Central: 1688862
Affiliations:
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Le document en format XML
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Michael</name></author><author><name sortKey="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</name></author><author><name sortKey="Isham, V S" sort="Isham, V S" uniqKey="Isham V" first="V S" last="Isham">V S Isham</name></author><author><name sortKey="Denham, D A" sort="Denham, D A" uniqKey="Denham D" first="D A" last="Denham">D A Denham</name></author><author><name sortKey="Bundy, D A" sort="Bundy, D A" uniqKey="Bundy D" first="D A" last="Bundy">D A Bundy</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">9474798</idno><idno type="pmc">1688862</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1688862</idno><idno type="RBID">PMC:1688862</idno><date when="1998">1998</date><idno type="wicri:Area/Pmc/Corpus">001999</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001999</idno><idno type="wicri:Area/Pmc/Curation">001998</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001998</idno><idno type="wicri:Area/Pmc/Checkpoint">004175</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">004175</idno><idno type="wicri:source">PubMed</idno><idno type="wicri:Area/PubMed/Corpus">004F33</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">004F33</idno><idno type="wicri:Area/PubMed/Curation">004F33</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">004F33</idno><idno type="wicri:Area/PubMed/Checkpoint">004F33</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">004F33</idno><idno type="wicri:Area/Ncbi/Merge">00BB25</idno><idno type="wicri:Area/Ncbi/Curation">00BB25</idno><idno type="wicri:Area/Ncbi/Checkpoint">00BB25</idno><idno type="wicri:doubleKey">0962-8452:1998:Michael E:modelling:variability:in</idno><idno type="wicri:Area/Main/Merge">00B757</idno><idno type="wicri:Area/Main/Curation">00B090</idno><idno type="wicri:Area/Main/Exploration">00B090</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Modelling variability in lymphatic filariasis: macrofilarial dynamics in the Brugia pahangi--cat model.</title><author><name sortKey="Michael, E" sort="Michael, E" uniqKey="Michael E" first="E" last="Michael">E. Michael</name></author><author><name sortKey="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</name></author><author><name sortKey="Isham, V S" sort="Isham, V S" uniqKey="Isham V" first="V S" last="Isham">V S Isham</name></author><author><name sortKey="Denham, D A" sort="Denham, D A" uniqKey="Denham D" first="D A" last="Denham">D A Denham</name></author><author><name sortKey="Bundy, D A" sort="Bundy, D A" uniqKey="Bundy D" first="D A" last="Bundy">D A Bundy</name></author></analytic><series><title level="j">Proceedings of the Royal Society B: Biological Sciences</title><idno type="ISSN">0962-8452</idno><idno type="eISSN">1471-2954</idno><imprint><date when="1998">1998</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Brugia pahangi</term><term>Cat Diseases (immunology)</term><term>Cat Diseases (parasitology)</term><term>Cats</term><term>Elephantiasis, Filarial (immunology)</term><term>Elephantiasis, Filarial (parasitology)</term><term>Elephantiasis, Filarial (veterinary)</term><term>Host-Parasite Interactions</term><term>Models, Biological</term><term>Models, Statistical</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term><term>Brugia pahangi</term><term>Chats</term><term>Filariose lymphatique (immunologie)</term><term>Filariose lymphatique (médecine vétérinaire)</term><term>Filariose lymphatique (parasitologie)</term><term>Interactions hôte-parasite</term><term>Maladies des chats (immunologie)</term><term>Maladies des chats (parasitologie)</term><term>Modèles biologiques</term><term>Modèles statistiques</term></keywords><keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Filariose lymphatique</term><term>Maladies des chats</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Cat Diseases</term><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="médecine vétérinaire" xml:lang="fr"><term>Filariose lymphatique</term></keywords><keywords scheme="MESH" qualifier="parasitologie" xml:lang="fr"><term>Filariose lymphatique</term><term>Maladies des chats</term></keywords><keywords scheme="MESH" qualifier="parasitology" xml:lang="en"><term>Cat Diseases</term><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="veterinary" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Brugia pahangi</term><term>Cats</term><term>Host-Parasite Interactions</term><term>Models, Biological</term><term>Models, Statistical</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Animaux</term><term>Brugia pahangi</term><term>Chats</term><term>Interactions hôte-parasite</term><term>Modèles biologiques</term><term>Modèles statistiques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>A striking feature of lymphatic filariasis is the considerable heterogeneity in infection burden observed between hosts, which greatly complicates the analysis of the population dynamics of the disease. Here, we describe the first application of the moment closure equation approach to model the sources and the impact of this heterogeneity for macrofilarial population dynamics. The analysis is based on the closest laboratory equivalent of the life cycle and immunology of infection in humans--cats chronically infected with the filarial nematode Brugia pahangi. Two sets of long-term experiments are analysed: hosts given either single primary infections or given repeat infections. We begin by quantifying changes in the mean and aggregation of adult parasites (inversely measured by the negative binomial parameter, kappa in cohorts of hosts using generalized linear models. We then apply simple stochastic models to interpret observed patterns. The models and empirical data indicate that parasite aggregation tracks the decline in the mean burden with host age in primary infections. Conversely, in repeat infections, aggregation increases as the worm burden declines with experience of infection. The results show that the primary infection variability is consistent with heterogeneities in parasite survival between hosts. By contrast, the models indicate that the reduction in parasite variability with time in repeat infections is most likely due to the 'filtering' effect of a strong, acquired immune response, which gradually acts to remove the initial variability generated by heterogeneities in larval mortality. We discuss this result in terms of the homogenizing effect of host immunity-driven density-dependence on macrofilarial burden in older hosts.</p></div></front></TEI><affiliations><list></list><tree><noCountry><name sortKey="Bundy, D A" sort="Bundy, D A" uniqKey="Bundy D" first="D A" last="Bundy">D A Bundy</name><name sortKey="Denham, D A" sort="Denham, D A" uniqKey="Denham D" first="D A" last="Denham">D A Denham</name><name sortKey="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</name><name sortKey="Isham, V S" sort="Isham, V S" uniqKey="Isham V" first="V S" last="Isham">V S Isham</name><name sortKey="Michael, E" sort="Michael, E" uniqKey="Michael E" first="E" last="Michael">E. Michael</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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