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Plasma levels of eight different mediators and their potential as biomarkers of various clinical malaria conditions in African children

Overview of attention for article published in Malaria Journal, June 2016
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Title
Plasma levels of eight different mediators and their potential as biomarkers of various clinical malaria conditions in African children
Published in
Malaria Journal, June 2016
DOI 10.1186/s12936-016-1378-3
Pubmed ID
Authors

Rachida Tahar, Catarina Albergaria, Neil Zeghidour, Vincent Foumane Ngane, Leonardo K. Basco, Christian Roussilhon

Abstract

Plasmodium falciparum infection can lead to several clinical manifestations ranging from asymptomatic infections (AM) and uncomplicated malaria (UM) to potentially fatal severe malaria (SM), including cerebral malaria (CM). Factors implicated in the progression towards severe disease are not fully understood. In the present study, an enzyme-linked immunosorbent assay (ELISA) method was used to investigate the plasma content of several biomarkers of the immune response, namely Neopterin, sCD163, suPAR, Pentraxin 3 (PTX3), sCD14, Fractalkine (CX3CL1), sTREM-1 and MIG (CXCL9), in patients with distinct clinical manifestations of malaria. The goal of this study was to determine the relative involvement of these inflammatory mediators in the pathogenesis of malaria and test their relevance as biomarkers of disease severity. ROC curve analysis show that children with AM were characterized by high levels of Fractalkine and sCD163 whereas children with UM were distinguishable by the presence of PTX3 in their plasma. Furthermore, principal component analysis indicated that the combination of Fractalkine, MIG, and Neopterin was the best predictor of AM condition, while suPAR, PTX3 and sTREM-1 combination was the best indicator of UM when compared to AM. The association of Neopterin, suPAR and Fractalkine was strongly predictive of SM or CM compared to UM. The results indicate that the simultaneous evaluation of these bioactive molecules as quantifiable blood parameters may be helpful to get a better insight into the clinical syndromes in children with malaria.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Bachelor 11 20%
Student > Ph. D. Student 10 18%
Student > Master 7 13%
Other 3 5%
Other 4 7%
Unknown 7 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Medicine and Dentistry 13 24%
Agricultural and Biological Sciences 6 11%
Neuroscience 4 7%
Immunology and Microbiology 4 7%
Other 5 9%
Unknown 9 16%

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 01 July 2016.
All research outputs
#6,900,476
of 7,974,292 outputs
Outputs from Malaria Journal
#2,571
of 2,832 outputs
Outputs of similar age
#218,874
of 260,731 outputs
Outputs of similar age from Malaria Journal
#128
of 136 outputs
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We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.