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Identification of Th1/Th2 regulatory switch to promote healing response during leishmaniasis: a computational approach

Overview of attention for article published in EURASIP Journal on Bioinformatics & Systems Biology, December 2015
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Title
Identification of Th1/Th2 regulatory switch to promote healing response during leishmaniasis: a computational approach
Published in
EURASIP Journal on Bioinformatics & Systems Biology, December 2015
DOI 10.1186/s13637-015-0032-7
Pubmed ID
Authors

Piyali Ganguli, Saikat Chowdhury, Shomeek Chowdhury, Ram Rup Sarkar

Abstract

Leishmania devices its survival strategy by suppressing the host's immune functions. The antigen molecules produced by Leishmania interferes with the host's cell signaling cascades and consequently changes the protein expression pattern of the antigen-presenting cell (APC). This creates an environment suitable for the switching of the T-cell responses from a healing Th1 response to a non-healing Th2 response that is favorable for the continued survival of the parasite inside the host APC. Using a reconstructed signaling network of the intracellular and intercellular reactions between a Leishmania infected APC and T-cell, we propose a computational model to predict the inhibitory effect of the Leishmania infected APC on the T-cell and to identify the regulators of this Th1-/Th2-switching behavior as observed during Leishmania infection. In this work, we hypothesize that a complete removal of the parasite could only be achieved with a simultaneous up-regulation of the healing Th1 response and stimulation of nitric oxide (NO) production from the APCs, and downregulation of the non-healing Th2 response and thereby propose several unique combinations of protein molecules that could elicit this anti-Leishmania immune response. Our results indicate that TLR3 may play a positive role in eliciting NO synthesis, while TLR2 may be responsible for inhibiting an anti-Leishmania immune response. Also, TLR3 overexpression (in the APC), when combined with SHP2 inhibition (in the T cell), produces an anti-Leishmania response that is better than the conventional IFN-gamma or IL12 treatment. A similar anti-Leishmania response is also obtained in another combination where TLR3 (in APC) is overexpressed, and SHC and MKP (of T cell) are inhibited and activated, respectively. Through our study, we also observe that Leishmania infection may induce an upregulation of IFN-beta production from the APC that may lead to an upregulation of the RAP1 and SOCS3 proteins inside the T cell, the potential inhibitors of MAPK and JAK-STAT signaling pathways, respectively, via the TYK2-mediated pathway. This study not only enhances our knowledge in understanding the Th1/Th2 regulatory switch to promote healing response during leishmaniasis but also helps to identify novel combinations of proteins as potential immunomodulators.

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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 > Ph. D. Student 12 32%
Student > Postgraduate 4 11%
Researcher 4 11%
Student > Bachelor 4 11%
Student > Doctoral Student 3 8%
Other 4 11%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Immunology and Microbiology 6 16%
Biochemistry, Genetics and Molecular Biology 4 11%
Mathematics 3 8%
Medicine and Dentistry 2 5%
Other 4 11%
Unknown 9 24%
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 14 January 2016.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from EURASIP Journal on Bioinformatics & Systems Biology
#25
of 53 outputs
Outputs of similar age
#239,855
of 395,593 outputs
Outputs of similar age from EURASIP Journal on Bioinformatics & Systems Biology
#3
of 6 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 41st percentile – i.e., 41% 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 395,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.