Transcriptomics

Dataset Information

0

Increased adaptative immune response and proper feedback reguation protect against clinical Dengue


ABSTRACT: Clinical symptoms of dengue virus (DENV) infection, the most prevalent arthropod-borne viral disease, range from classical mild dengue fever to severe, life-threatening dengue shock syndrome. However, most DENV infections cause few or no symptoms. Asymptomatic DENV-infected patients provide a unique opportunity to decipher the host immune responses leading to virus elimination without negative impact on an individual’s health. We used an integrated approach of transcriptional profiling and immunological analysis to compare a Cambodian population of strictly asymptomatic viremic individuals with clinical dengue patients. Whereas inflammatory pathways and innate immune response pathways were similar between asymptomatic individuals and clinical dengue patients, expression of proteins related to antigen presentation and subsequent T and B cell activation pathways were differentially regulated, independent of viral load and previous DENV infection history. Feedback mechanisms controlled the immune response in asymptomatic viremic individuals, as demonstrated by increased activation of T cell apoptosis-related pathways and FcγRIIB signaling associated with decreased anti-DENV specific antibody concentrations. Taken together, our data illustrate that symptom-free DENV infection in children is associated with determined by increased activation of the adaptive immune compartment and proper control mechanisms, leading to elimination of viral infection without excessive immune activation, with implications for novel vaccine development strategies

ORGANISM(S): Homo sapiens

PROVIDER: GSE100299 | GEO | 2017/09/05

SECONDARY ACCESSION(S): PRJNA391286

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-09-06 | E-GEOD-50634 | biostudies-arrayexpress
2013-09-06 | GSE50634 | GEO
2024-10-21 | GSE276766 | GEO
2011-10-31 | E-GEOD-33274 | biostudies-arrayexpress
2015-02-28 | E-MTAB-3162 | biostudies-arrayexpress
2022-09-13 | GSE213107 | GEO
2010-11-20 | E-GEOD-25226 | biostudies-arrayexpress
2020-01-13 | GSE132367 | GEO
2022-07-06 | GSE207347 | GEO
2015-11-30 | GSE26943 | GEO