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TOLLIP gene variant is associated with Plasmodium vivax malaria in the Brazilian Amazon

Overview of attention for article published in Malaria Journal, March 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
TOLLIP gene variant is associated with Plasmodium vivax malaria in the Brazilian Amazon
Published in
Malaria Journal, March 2017
DOI 10.1186/s12936-017-1754-7
Pubmed ID
Authors

Larissa W. Brasil, Laila R. A. Barbosa, Felipe J. de Araujo, Allyson G. da Costa, Luan D. O. da Silva, Suzana K. Pinheiro, Anne C. G. de Almeida, Andrea Kuhn, Sheila Vitor-Silva, Gisely C. de Melo, Wuelton M. Monteiro, Marcus V. G. de Lacerda, Rajendranath Ramasawmy

Abstract

Toll-interacting protein is a negative regulator in the TLR signaling cascade, particularly by impeding the TLR2 and, TLR4 pathway. Recently, TOLLIP was shown to regulate human TLR signaling pathways. Two common TOLLIP polymorphisms (rs5743899 and rs3750920) were reported to be influencing IL-6, TNF and IL-10 expression. In this study, TOLLIP variants were investigated to their relation to Plasmodium vivax malaria in the Brazilian Amazon. This cohort study was performed in the municipalities of Careiro and, Manaus, in Western Brazilian Amazon. A total of 319 patients with P. vivax malaria and, 263 healthy controls with no previous history of malaria were included in the study. Genomic DNA was extracted from blood collected on filter paper, using the QIAamp(®) DNA Mini Kit, according to the manufacturer's suggested protocol. The rs5743899 and rs3750920 polymorphisms of the TOLLIP gene were typed by PCR-RFLP. Homozygous individuals for the rs3750920 T allele gene had twice the risk of developing malaria when compared to individuals homozygous for the C allele (OR 2.0 [95% CI 1.23-3.07]; p = 0.004). In the dominant model, carriers the C allele indicates protection to malaria, carriers of the C allele were compared to individuals with the T allele, and the difference is highly significant (OR 0.52 [95% CI 0.37-0.76]; p = 0.0006). The linkage disequilibrium between the two polymorphisms was weak (r(2) = 0.037; D' = 0.27). These findings suggest that genes involved in the TLRs-pathway may be involved in malaria susceptibility. The association of the TOLLIP rs3750920 T allele with susceptibility to malaria further provides evidence that genetic variations in immune response genes may predispose individuals to malaria.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 32%
Student > Ph. D. Student 6 16%
Student > Bachelor 5 14%
Researcher 3 8%
Student > Postgraduate 2 5%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Biochemistry, Genetics and Molecular Biology 6 16%
Nursing and Health Professions 4 11%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 5 14%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 March 2017.
All research outputs
#6,791,741
of 22,959,818 outputs
Outputs from Malaria Journal
#1,970
of 5,587 outputs
Outputs of similar age
#108,668
of 308,539 outputs
Outputs of similar age from Malaria Journal
#49
of 129 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,587 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 308,539 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 64% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.