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A preliminary analysis of hepatitis C virus in pancreatic islet cells

Overview of attention for article published in Virology Journal, December 2017
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1 tweeter

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Title
A preliminary analysis of hepatitis C virus in pancreatic islet cells
Published in
Virology Journal, December 2017
DOI 10.1186/s12985-017-0905-3
Pubmed ID
Authors

Jason T. Blackard, Ling Kong, Angela Lombardi, Dirk Homann, Sara Salehi Hammerstad, Yaron Tomer

Abstract

An association between hepatitis C virus (HCV) and type 2 diabetes (T2D) is supported by numerous epidemiologic studies. We hypothesized that HCV could infect human pancreatic islet cells in vitro. Measures of HCV RNA synthesis and protein production were used to evaluate HCV infection of pancreatic islets recovered from human donors. Significant co-staining of insulin and the HCV entry factor CD81 was observed in pancreatic islets. Positive- and negative-sense HCV RNA were detected in HCV-exposed islets at days 1, 3, 7, and 14 post-infection. The HCV core and NS3 proteins were expressed and increased with time providing further evidence of viral replication. Interferon and an HCV polymerase inhibitor reduced viral replication in islet cells. In HCV-infected islets, TNFα levels were elevated at days 1, 3, and 7 post-infection, while IL-6 levels were elevated at day 1 but not days 3 or 7. Overall, the expression of miR-122 was low in islets compared to the Huh7.5 hepatocyte-derived cell line, although the relative expression of miR-122 increased in islet cells after viral infection (1, 6.63, and 5.83 at days 1, 3, and 7, respectively). In this pilot study, viral infection was demonstrated in pancreatic islet cells from multiple donors using complementary measures of viral replication, thus providing evidence of in vitro infection. Altered cytokine expression may contribute to the development of insulin deficiency, and understanding the etiology of diabetes in individuals with HCV infection may facilitate the development of novel treatment modalities and prevention strategies. This in vitro system provides an important model for mechanistic studies of HCV-pancreas interactions and facilitates future studies of the potential impact of viral infection on islet cell function.

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Student > Master 3 14%
Student > Bachelor 2 10%
Researcher 2 10%
Student > Doctoral Student 2 10%
Other 1 5%
Unknown 4 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 24%
Medicine and Dentistry 3 14%
Agricultural and Biological Sciences 3 14%
Arts and Humanities 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 6 29%

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 20 December 2017.
All research outputs
#11,224,823
of 14,158,567 outputs
Outputs from Virology Journal
#1,763
of 2,252 outputs
Outputs of similar age
#286,330
of 398,085 outputs
Outputs of similar age from Virology Journal
#158
of 213 outputs
Altmetric has tracked 14,158,567 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,252 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 7th percentile – i.e., 7% 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 398,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.