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Natural killer T (NKT) cells accelerate Shiga toxin type 2 (Stx2) pathology in mice

Overview of attention for article published in Frontiers in Microbiology, April 2015
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Title
Natural killer T (NKT) cells accelerate Shiga toxin type 2 (Stx2) pathology in mice
Published in
Frontiers in Microbiology, April 2015
DOI 10.3389/fmicb.2015.00262
Pubmed ID
Authors

Fumiko Obata, Priyanka B. Subrahmanyam, Aimee E. Vozenilek, Lauren M. Hippler, Tynae Jeffers, Methinee Tongsuk, Irina Tiper, Progyaparamita Saha, Dakshina M. Jandhyala, Glynis L. Kolling, Olga Latinovic, Tonya J. Webb

Abstract

Shiga toxin-producing Escherichia coli (STEC) is a leading cause of childhood renal disease Hemolytic Uremic Syndrome (HUS). The involvement of renal cytokines and chemokines is suspected to play a critical role in disease progression. In current article, we tested the hypothesis that NKT cells are involved in Stx2-induced pathology in vivo. To address this hypothesis we compared Stx2 toxicity in WT and CD1 knockout (KO) mice. In CD1KO mice, which lack natural killer T (NKT) cells, Stx2-induced pathologies such as weight loss, renal failure, and death were delayed. In WT mice, Stx2-specific selective increase in urinary albumin occurs in later time points, and this was also delayed in NKT cell deficient mice. NKT cell-associated cytokines such as IL-2, IL-4, IFN-γ, and IL-17 were detected in kidney lysates of Stx2-injected WT mice with the peak around 36 h after Stx2 injection. In CD1KO, there was a delay in the kinetics, and increases in these cytokines were observed 60 h post Stx2 injection. These data suggest that NKT cells accelerate Stx2-induced pathology in mouse kidneys. To determine the mechanism by which NKT cells promote Stx2-associated disease, in vitro studies were performed using murine renal cells. We found that murine glomerular endothelial cells and podocytes express functional CD1d molecules and can present exogenous antigen to NKT cells. Moreover, we observed the direct interaction between Stx2 and the receptor Gb3 on the surface of mouse renal cells by 3D STORM-TIRF which provides single molecule imaging. Collectively, these data suggest that Stx2 binds to Gb3 on renal cells and leads to aberrant CD1d-mediated NKT cell activation. Therefore, strategies targeting NKT cells could have a significant impact on Stx2-associated renal pathology in STEC disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Doctoral Student 2 13%
Professor > Associate Professor 2 13%
Student > Master 2 13%
Student > Bachelor 2 13%
Other 3 19%
Unknown 1 6%
Readers by discipline Count As %
Immunology and Microbiology 7 44%
Agricultural and Biological Sciences 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Veterinary Science and Veterinary Medicine 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 1 6%
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 24 April 2015.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Frontiers in Microbiology
#22,353
of 24,755 outputs
Outputs of similar age
#224,074
of 264,900 outputs
Outputs of similar age from Frontiers in Microbiology
#300
of 348 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,755 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 1st percentile – i.e., 1% 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 264,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 348 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.