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dc.contributor.authorHuang, Chung-Haoen_US
dc.contributor.authorChang, Ya-Huien_US
dc.contributor.authorLin, Chun-Yuen_US
dc.contributor.authorWang, Wen-Hungen_US
dc.contributor.authorKuan, Hui-Chungen_US
dc.contributor.authorHsieh, Ya-Juen_US
dc.contributor.authorWang, Yu-Weien_US
dc.contributor.authorYang, Chung-Hsiangen_US
dc.contributor.authorChiu, Jhen-Yanen_US
dc.contributor.authorTsai, Shih-Fengen_US
dc.contributor.authorChen, Yen-Hsuen_US
dc.contributor.authorLiu, Hong-Hsingen_US
dc.date.accessioned2019-04-03T06:41:16Z-
dc.date.available2019-04-03T06:41:16Z-
dc.date.issued2017-12-04en_US
dc.identifier.issn1664-3224en_US
dc.identifier.urihttp://dx.doi.org/10.3389/fimmu.2017.01726en_US
dc.identifier.urihttp://hdl.handle.net/11536/144172-
dc.description.abstractPhenotypic manifestations of infectious diseases are closely related to individual immune responses. Methods to extract information from patients' own immune reactions would be of great use for both diagnosis and treatment. Dengue fever is one of the diseases that clinical aggravations could occur paradoxically after humoral immunity appears. This property makes dengue fever an excellent disease model to explore. A principal component analyses (PCAs)-based framework derived from a prior vaccination study was developed. The framework was verified by successful demonstrations of known IgG signatures from a Mexico Dengue data set. Afterward the pipeline was tested upon de novo IgG and IgA libraries of Dengue patients from southern Taiwan. We discovered four infection signatures within IgG repertoires, two of which were identical to previous reports. However, it was IgA but not IgG that could differentiate hemorrhagic from non-hemorrhagic patients. IgA repertoires were found more diversified among bleeders, from whom seven signature clusters were characterized. The expressions of transforming growth factor beta 1 (TGF beta 1) and accordingly mediated class-switch activity of IgA were distinct only among the PCA-segregated bleeding group. In sum, intercontinental sharing of IgG signatures in dengue fever was demonstrated via a unified working flow. Differential regulation of IgA class-switch with associated diversity expansion plus existences of hemorrhage-restricted clusters were shown. The ability of the framework to find common IgG signatures would implicate applications to infections even from unknown pathogens. The clusters within IgA repertoires could offer perspectives to other IgA-related bleeding disorders such as Henoch-Schonlein purpura or IgA nephropathy. Substantiated grounds for IgA-specific effector function via TGF beta 1-mediated class-switch would be a new factor to consider for infectious diseases.en_US
dc.language.isoen_USen_US
dc.subjectdengue feveren_US
dc.subjectimmune repertoireen_US
dc.subjecthemorrhageen_US
dc.subjectclass-switchen_US
dc.subjectTGF betaen_US
dc.subjectIgGen_US
dc.subjectIgAen_US
dc.titleShared IgG Infection Signatures vs. Hemorrhage-Restricted IgA Clusters in Human Dengue: A Phenotype of Differential Class-Switch via TGF beta 1en_US
dc.typeArticleen_US
dc.identifier.doi10.3389/fimmu.2017.01726en_US
dc.identifier.journalFRONTIERS IN IMMUNOLOGYen_US
dc.citation.volume8en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.identifier.wosnumberWOS:000416912900001en_US
dc.citation.woscount0en_US
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