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Changes in Serological Immunology Measures in UK and Kenyan Adults Post-controlled Human Malaria Infection

Overview of attention for article published in Frontiers in Microbiology, October 2016
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Title
Changes in Serological Immunology Measures in UK and Kenyan Adults Post-controlled Human Malaria Infection
Published in
Frontiers in Microbiology, October 2016
DOI 10.3389/fmicb.2016.01604
Pubmed ID
Authors

Susanne H. Hodgson, David Llewellyn, Sarah E. Silk, Kathryn H. Milne, Sean C. Elias, Kazutoyo Miura, Gathoni Kamuyu, Elizabeth A. Juma, Charles Magiri, Alfred Muia, Jing Jin, Alexandra J. Spencer, Rhea J. Longley, Thomas Mercier, Laurent Decosterd, Carole A. Long, Faith H. Osier, Stephen L. Hoffman, Bernhards Ogutu, Adrian V. S. Hill, Kevin Marsh, Simon J. Draper

Abstract

Background: The timing of infection is closely determined in controlled human malaria infection (CHMI) studies, and as such they provide a unique opportunity to dissect changes in immunological responses before and after a single infection. The first Kenyan Challenge Study (KCS) (Pan African Clinical Trial Registry: PACTR20121100033272) was performed in 2013 with the aim of establishing the CHMI model in Kenya. This study used aseptic, cryopreserved, attenuated Plasmodium falciparum sporozoites administered by needle and syringe (PfSPZ Challenge) and was the first to evaluate parasite dynamics post-CHMI in individuals with varying degrees of prior exposure to malaria. Methods: We describe detailed serological and functional immunological responses pre- and post-CHMI for participants in the KCS and compare these with those from malaria-naïve UK volunteers who also underwent CHMI (VAC049) (ClinicalTrials.gov NCT01465048) using PfSPZ Challenge. We assessed antibody responses to three key blood-stage merozoite antigens [merozoite surface protein 1 (MSP1), apical membrane protein 1 (AMA1), and reticulocyte-binding protein homolog 5 (RH5)] and functional activity using two candidate measures of anti-merozoite immunity; the growth inhibition activity (GIA) assay and the antibody-dependent respiratory burst activity (ADRB) assay. Results:Clear serological differences were observed pre- and post-CHMI by ELISA between malaria-naïve UK volunteers in VAC049, and Kenyan volunteers who had prior malaria exposure. Antibodies to AMA1 and schizont extract correlated with parasite multiplication rate (PMR) post-CHMI in KCS. Serum from volunteer 110 in KCS, who demonstrated a dramatically reduced PMR in vivo, had no in vitro GIA prior to CHMI but the highest level of ADRB activity. A significant difference in ADRB activity was seen between KCS volunteers with minimal and definite prior exposure to malaria and significant increases were seen in ADRB activity post-CHMI in Kenyan volunteers. Quinine and atovaquone/proguanil, previously assumed to be removed by IgG purification, were identified as likely giving rise to aberrantly high in vitro GIA results. Conclusions: The ADRB activity assay is a promising functional assay that warrants further investigation as a measure of prior exposure to malaria and predictor of control of parasite growth. The CHMI model can be used to evaluate potential measures of naturally-acquired immunity to malaria.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Ph. D. Student 10 18%
Student > Master 8 14%
Student > Bachelor 7 13%
Lecturer 2 4%
Other 4 7%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 10 18%
Agricultural and Biological Sciences 9 16%
Biochemistry, Genetics and Molecular Biology 7 13%
Immunology and Microbiology 6 11%
Nursing and Health Professions 3 5%
Other 7 13%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 October 2016.
All research outputs
#17,820,151
of 22,893,031 outputs
Outputs from Frontiers in Microbiology
#17,270
of 24,938 outputs
Outputs of similar age
#228,050
of 319,475 outputs
Outputs of similar age from Frontiers in Microbiology
#285
of 427 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,938 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% 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 319,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 427 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.