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| Status |
Public on Sep 05, 2017 |
| Title |
Increased adaptative immune response and proper feedback reguation protect against clinical Dengue |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
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
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| Overall design |
33 Dengue patients samples analyzed, no replicates
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| Contributor(s) |
Simon-Lorière E, Duong V, Tawfik A, Ung S, Ly S, Casadémont I, Prot M, Courtejoie N, Bleakley K, Buchy P, Tarantola A, Dussart P, Cantaert T, Sakuntabhai A |
| Citation(s) |
28855396 |
| Submission date |
Jun 21, 2017 |
| Last update date |
Jul 25, 2021 |
| Contact name |
Anavaj Sakuntabhai |
| E-mail(s) |
anavaj@pasteur.fr
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| Organization name |
Institut Pasteur
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| Department |
Genome and Genetics
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| Lab |
Functional Genetics of Infectious Diseases
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| Street address |
28 rue du Dr Roux
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| City |
Paris |
| ZIP/Postal code |
75015 |
| Country |
France |
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| Platforms (1) |
| GPL17586 |
[HTA-2_0] Affymetrix Human Transcriptome Array 2.0 [transcript (gene) version] |
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| Samples (33)
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| Relations |
| BioProject |
PRJNA391286 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE100299_RAW.tar |
787.8 Mb |
(http)(custom) |
TAR (of CEL) |
| Processed data included within Sample table |
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