↓ Skip to main content

Natural killer cell functional dichotomy: a feature of chronic viral hepatitis?

Overview of attention for article published in Frontiers in immunology, January 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
35 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Natural killer cell functional dichotomy: a feature of chronic viral hepatitis?
Published in
Frontiers in immunology, January 2012
DOI 10.3389/fimmu.2012.00351
Pubmed ID
Authors

Mario U. Mondelli, Barbara Oliviero, Dalila Mele, Stefania Mantovani, Chiara Gazzabin, Stefania Varchetta

Abstract

Natural killer (NK) cells are involved in innate immune responses to viral infections either via direct cytotoxicity which destroys virus-infected cells or production of immunoregulatory cytokines which modulate adaptive immunity and directly inhibit virus replication. These functions are mediated by different NK subpopulations, with cytotoxicity being generally performed by CD56(dim) NK cells, whereas CD56(bright) NK cells are mainly involved in cytokine secretion. NK functional defects are usually combined so that impaired degranulation is often associated with deficient cytokine production. Innate immunity is thought to be relevant in the control of hepatitis virus infections such as hepatitis B virus (HBV) and hepatitis C virus (HCV), and recent findings reproducibly indicate that NK cells in chronic viral hepatitis are characterized by a functional dichotomy, featuring a conserved or enhanced cytotoxicity and a reduced production of interferon (IFN)-γ and tumor necrosis factor-α. In chronic HCV infection this appears to be caused by altered IFN-α signaling resulting from increased signal transducer and activator of transcription 1 (STAT1) phosphorylation, which polarizes NK cells toward cytotoxicity, and a concomitantly reduced IFN-α induced STAT4 phosphorylation yielding reduced IFN-γ mRNA levels. These previously unappreciated findings are compatible on the one hand with the inability to clear HCV and HBV from the liver and on the other they may contribute to understand why these patients are often resistant to IFN-α-based therapies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Canada 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 7 20%
Student > Doctoral Student 4 11%
Student > Postgraduate 4 11%
Student > Bachelor 2 6%
Other 6 17%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Immunology and Microbiology 8 23%
Agricultural and Biological Sciences 8 23%
Biochemistry, Genetics and Molecular Biology 3 9%
Psychology 1 3%
Other 1 3%
Unknown 5 14%
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 26 November 2012.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Frontiers in immunology
#27,414
of 31,513 outputs
Outputs of similar age
#228,476
of 250,087 outputs
Outputs of similar age from Frontiers in immunology
#161
of 275 outputs
Altmetric has tracked 25,371,288 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 31,513 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 250,087 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 275 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.