Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India

Detalhes bibliográficos
Autor(a) principal: Prakash, D.
Data de Publicação: 2006
Outros Autores: Fesel, C., Jain, R., Cazenave, P.A., Mishra, G.C., Pied, S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.7/217
Resumo: We investigated the role of interferon (IFN)- gamma , interleukin (IL)-1 beta , IL-2, IL-4, IL-5, IL-6, IL-10, IL-12, tumor necrosis factor (TNF)- alpha , and transforming growth factor (TGF)- beta in clinically well-defined groups of Plasmodium falciparum-infected patients manifesting mild malaria (MM), severe noncerebral malaria (SM), or cerebral malaria (CM) and in control subjects from Gondia, a malaria-endemic site in India, as well as in healthy subjects from non-malaria-endemic areas. Two-way coupled cluster analysis revealed 2 clusters of cytokines relevant to clinical subgroups of disease. The first cluster was composed of IFN- gamma , IL-2, IL-5, IL-6, and IL-12, the levels of which were significantly increased during infection but were predominant in patients with MM and allowed us to distinguish them from patients with SM or CM. The second cluster was composed of TGF- beta , TNF- alpha , IL-10, and IL-1 beta , the levels of which were highly correlated with each other in the different clinical groups of patients and significantly increased with disease severity, particularly in CM. Discriminant analyses allowed us to propose a minimal model. Levels of cytokines such as IL-5, IL-1 beta , IL-10, and IL-2 increase with infection. Levels of IL-12, IL-5, and IL-6 discriminate severe forms of malaria from MM. Finally, levels of IL-1 beta , IL-12, and IFN- gamma are relevant for the discrimination of CM from SM: high IL-1 beta levels are associated with CM, and high IL-12 and IFN- gamma levels are associated with SM
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spelling Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central IndiaMalaria, Cerebral/bloodMalaria, Cerebral/physiopathologyMalaria, Falciparum/bloodMalaria, Falciparum/epidemiology/Malaria, Falciparum/physiopathologyIndia/epidemiologyCluster AnalysisCytokines/bloodWe investigated the role of interferon (IFN)- gamma , interleukin (IL)-1 beta , IL-2, IL-4, IL-5, IL-6, IL-10, IL-12, tumor necrosis factor (TNF)- alpha , and transforming growth factor (TGF)- beta in clinically well-defined groups of Plasmodium falciparum-infected patients manifesting mild malaria (MM), severe noncerebral malaria (SM), or cerebral malaria (CM) and in control subjects from Gondia, a malaria-endemic site in India, as well as in healthy subjects from non-malaria-endemic areas. Two-way coupled cluster analysis revealed 2 clusters of cytokines relevant to clinical subgroups of disease. The first cluster was composed of IFN- gamma , IL-2, IL-5, IL-6, and IL-12, the levels of which were significantly increased during infection but were predominant in patients with MM and allowed us to distinguish them from patients with SM or CM. The second cluster was composed of TGF- beta , TNF- alpha , IL-10, and IL-1 beta , the levels of which were highly correlated with each other in the different clinical groups of patients and significantly increased with disease severity, particularly in CM. Discriminant analyses allowed us to propose a minimal model. Levels of cytokines such as IL-5, IL-1 beta , IL-10, and IL-2 increase with infection. Levels of IL-12, IL-5, and IL-6 discriminate severe forms of malaria from MM. Finally, levels of IL-1 beta , IL-12, and IFN- gamma are relevant for the discrimination of CM from SM: high IL-1 beta levels are associated with CM, and high IL-12 and IFN- gamma levels are associated with SMUniversity of Chicago PressARCAPrakash, D.Fesel, C.Jain, R.Cazenave, P.A.Mishra, G.C.Pied, S.2011-05-19T09:26:14Z2006-072006-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.7/217engPrakash, D., Fesel, C., Jain, R., Cazenave, P.-A., Mishra, G.C., Pied, S. (2006). Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India. Journal of Infectious Diseases 194(2): 198-207.1537-6613info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-11-29T14:34:42Zoai:arca.igc.gulbenkian.pt:10400.7/217Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:11:37.328922Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
title Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
spellingShingle Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
Prakash, D.
Malaria, Cerebral/blood
Malaria, Cerebral/physiopathology
Malaria, Falciparum/blood
Malaria, Falciparum/epidemiology/
Malaria, Falciparum/physiopathology
India/epidemiology
Cluster Analysis
Cytokines/blood
title_short Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
title_full Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
title_fullStr Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
title_full_unstemmed Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
title_sort Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India
author Prakash, D.
author_facet Prakash, D.
Fesel, C.
Jain, R.
Cazenave, P.A.
Mishra, G.C.
Pied, S.
author_role author
author2 Fesel, C.
Jain, R.
Cazenave, P.A.
Mishra, G.C.
Pied, S.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv ARCA
dc.contributor.author.fl_str_mv Prakash, D.
Fesel, C.
Jain, R.
Cazenave, P.A.
Mishra, G.C.
Pied, S.
dc.subject.por.fl_str_mv Malaria, Cerebral/blood
Malaria, Cerebral/physiopathology
Malaria, Falciparum/blood
Malaria, Falciparum/epidemiology/
Malaria, Falciparum/physiopathology
India/epidemiology
Cluster Analysis
Cytokines/blood
topic Malaria, Cerebral/blood
Malaria, Cerebral/physiopathology
Malaria, Falciparum/blood
Malaria, Falciparum/epidemiology/
Malaria, Falciparum/physiopathology
India/epidemiology
Cluster Analysis
Cytokines/blood
description We investigated the role of interferon (IFN)- gamma , interleukin (IL)-1 beta , IL-2, IL-4, IL-5, IL-6, IL-10, IL-12, tumor necrosis factor (TNF)- alpha , and transforming growth factor (TGF)- beta in clinically well-defined groups of Plasmodium falciparum-infected patients manifesting mild malaria (MM), severe noncerebral malaria (SM), or cerebral malaria (CM) and in control subjects from Gondia, a malaria-endemic site in India, as well as in healthy subjects from non-malaria-endemic areas. Two-way coupled cluster analysis revealed 2 clusters of cytokines relevant to clinical subgroups of disease. The first cluster was composed of IFN- gamma , IL-2, IL-5, IL-6, and IL-12, the levels of which were significantly increased during infection but were predominant in patients with MM and allowed us to distinguish them from patients with SM or CM. The second cluster was composed of TGF- beta , TNF- alpha , IL-10, and IL-1 beta , the levels of which were highly correlated with each other in the different clinical groups of patients and significantly increased with disease severity, particularly in CM. Discriminant analyses allowed us to propose a minimal model. Levels of cytokines such as IL-5, IL-1 beta , IL-10, and IL-2 increase with infection. Levels of IL-12, IL-5, and IL-6 discriminate severe forms of malaria from MM. Finally, levels of IL-1 beta , IL-12, and IFN- gamma are relevant for the discrimination of CM from SM: high IL-1 beta levels are associated with CM, and high IL-12 and IFN- gamma levels are associated with SM
publishDate 2006
dc.date.none.fl_str_mv 2006-07
2006-07-01T00:00:00Z
2011-05-19T09:26:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.7/217
url http://hdl.handle.net/10400.7/217
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Prakash, D., Fesel, C., Jain, R., Cazenave, P.-A., Mishra, G.C., Pied, S. (2006). Clusters of cytokines determine malaria severity in Plasmodium falciparum - Infected patients from endemic areas of central India. Journal of Infectious Diseases 194(2): 198-207.
1537-6613
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv University of Chicago Press
publisher.none.fl_str_mv University of Chicago Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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