| Title |
Association of KIR2DS1 and KIR2DS3 with fatal outcome in Ebola virus infection
|
|---|---|
| Published in |
Immunogenetics, September 2010
|
| DOI | 10.1007/s00251-010-0480-x |
| Pubmed ID | |
| Authors |
Nadia Wauquier, Cindy Padilla, Pierre Becquart, Eric Leroy, Vincent Vieillard |
| Abstract |
Zaïre ebolavirus (ZEBOV) infection rapidly outruns the host's immunity and leads to death within a week. Fatal cases have been associated with an aberrant innate, proinflammatory immune response followed by a suppressed adaptive response leading to the rapid depletion of peripheral NK cells and lymphocytes. A critical role for NK cells has been suggested but not elucidated. In this genetic study, we investigated the association of KIR genotype with disease outcome by comparing genotypes of a Gabonese control population, IgG+ contacts, survivors, and fatalities of ZEBOV infection. We showed that the activating KIR2DS1 and KIR2DS3 genes associate with fatal outcome in Ebola virus infection. In addition, this study brings supplemental evidence in favor of the specificity of the IgG+ contact population. The outcome of fulminating Ebola virus infection could depend in part on the host's inherited KIR gene repertoire. This supports a key role for KIRs in disease susceptibility to infections. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| South Africa | 1 | 1% |
| Germany | 1 | 1% |
| Nigeria | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 92 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 26% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Bachelor | 10 | 10% |
| Student > Master | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Other | 17 | 17% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 29% |
| Biochemistry, Genetics and Molecular Biology | 16 | 16% |
| Medicine and Dentistry | 13 | 13% |
| Immunology and Microbiology | 8 | 8% |
| Nursing and Health Professions | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 18 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 December 2014.
All research outputs
#15,660,220
of 24,807,923 outputs
Outputs from Immunogenetics
#931
of 1,236 outputs
Outputs of similar age
#82,545
of 103,712 outputs
Outputs of similar age from Immunogenetics
#4
of 4 outputs
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