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An Immunomics Approach to Schistosome Antigen Discovery: Antibody Signatures of Naturally Resistant and Chronically Infected Individuals from Endemic Areas

Overview of attention for article published in PLoS Pathogens, March 2014
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Title
An Immunomics Approach to Schistosome Antigen Discovery: Antibody Signatures of Naturally Resistant and Chronically Infected Individuals from Endemic Areas
Published in
PLoS Pathogens, March 2014
DOI 10.1371/journal.ppat.1004033
Pubmed ID
Authors

Soraya Gaze, Patrick Driguez, Mark S. Pearson, Tiago Mendes, Denise L. Doolan, Angela Trieu, Donald P. McManus, Geoffrey N. Gobert, Maria Victoria Periago, Rodrigo Correa Oliveira, Fernanda C. Cardoso, Guilherme Oliveira, Rie Nakajima, Al Jasinskas, Chris Hung, Li Liang, Jozelyn Pablo, Jeffrey M. Bethony, Philip L. Felgner, Alex Loukas

Abstract

Schistosomiasis is a neglected tropical disease that is responsible for almost 300,000 deaths annually. Mass drug administration (MDA) is used worldwide for the control of schistosomiasis, but chemotherapy fails to prevent reinfection with schistosomes, so MDA alone is not sufficient to eliminate the disease, and a prophylactic vaccine is required. Herein, we take advantage of recent advances in systems biology and longitudinal studies in schistosomiasis endemic areas in Brazil to pilot an immunomics approach to the discovery of schistosomiasis vaccine antigens. We selected mostly surface-derived proteins, produced them using an in vitro rapid translation system and then printed them to generate the first protein microarray for a multi-cellular pathogen. Using well-established Brazilian cohorts of putatively resistant (PR) and chronically infected (CI) individuals stratified by the intensity of their S. mansoni infection, we probed arrays for IgG subclass and IgE responses to these antigens to detect antibody signatures that were reflective of protective vs. non-protective immune responses. Moreover, probing for IgE responses allowed us to identify antigens that might induce potentially deleterious hypersensitivity responses if used as subunit vaccines in endemic populations. Using multi-dimensional cluster analysis we showed that PR individuals mounted a distinct and robust IgG1 response to a small set of newly discovered and well-characterized surface (tegument) antigens in contrast to CI individuals who mounted strong IgE and IgG4 responses to many antigens. Herein, we show the utility of a vaccinomics approach that profiles antibody responses of resistant individuals in a high-throughput multiplex approach for the identification of several potentially protective and safe schistosomiasis vaccine antigens.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 <1%
Australia 1 <1%
Unknown 99 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Student > Master 14 14%
Researcher 13 13%
Student > Bachelor 13 13%
Student > Doctoral Student 5 5%
Other 17 17%
Unknown 27 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 23%
Medicine and Dentistry 11 11%
Biochemistry, Genetics and Molecular Biology 10 10%
Immunology and Microbiology 10 10%
Veterinary Science and Veterinary Medicine 4 4%
Other 13 13%
Unknown 31 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 December 2014.
All research outputs
#14,786,920
of 25,394,764 outputs
Outputs from PLoS Pathogens
#6,904
of 9,470 outputs
Outputs of similar age
#116,661
of 238,142 outputs
Outputs of similar age from PLoS Pathogens
#115
of 188 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 238,142 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.