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Liver and blood cytokine microenvironment in HCV patients is associated to liver fibrosis score: a proinflammatory cytokine ensemble orchestrated by TNF and tuned by IL-10

Overview of attention for article published in BMC Microbiology, January 2016
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Title
Liver and blood cytokine microenvironment in HCV patients is associated to liver fibrosis score: a proinflammatory cytokine ensemble orchestrated by TNF and tuned by IL-10
Published in
BMC Microbiology, January 2016
DOI 10.1186/s12866-015-0610-6
Pubmed ID
Authors

Soriane de Souza-Cruz, Marilú Barbieri Victória, Andréa Monteiro Tarragô, Allyson Guimarães da Costa, João Paulo Diniz Pimentel, Ericka Florêncio Pires, Lorene de Paula Araújo, Jordana Grazziela Coelho-dos-Reis, Matheus de Souza Gomes, Laurence Rodrigues Amaral, Andréa Teixeira-Carvalho, Olindo Assis Martins-Filho, Flamir da Silva Victória, Adriana Malheiro

Abstract

In this study, we have evaluated the immunological status of hepatitis C virus (HCV)-infected patients aiming at identifying putative biomarkers associated with distinct degrees of liver fibrosis. Peripheral blood and tissue T-cells as well as cytokine levels were quantified by flow cytometry. Data analysis demonstrated higher frequency of circulating CD8(+) T-cells and Tregs along with a mixed proinflammatory/IL-10-modulated cytokine pattern in HCV patients. Patients with severe liver fibrosis presented lower frequency of circulating CD8(+) T-cells, higher levels of proinflammatory cytokines, but lower levels of IL-10, in addition to the higher viral load. Despite the lower frequency of intrahepatic T-cells and scarce frequency of Tregs, patients with severe liver fibrosis showed higher levels of proinflammatory cytokines (TNF and IFN-γ). The tissue proinflammatory cytokine pattern supported further studies of serum cytokines as relevant biomarkers associated with different liver fibrosis scores. Serum cytokine signature showed that mild liver fibrosis is associated with higher IL-10 serum levels as compared to severe liver disease. There was a clear positive connection of IL-10 with the TNF node in patients with mild liver fibrosis, whereas there is an evident inverse correlation between IL-10 with all other cytokine nodes. These results suggest the absence of modulatory events in patients with severe liver damage as opposed to mild fibrosis. Machine-learning data mining pointed out TNF and IL-10 as major attributes to differentiate HCV patients from non-infected individuals with highest performance. In conclusion, our findings demonstrated that HCV infection triggers a local and systemic cytokine ensemble orchestrated by TNF and tuned by IL-10 in such a manner that mirrors the liver fibrosis score, which highly suggests the relevance of these set of biomarkers for clinical investigations.

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

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 5 19%
Student > Bachelor 4 15%
Unspecified 3 12%
Student > Ph. D. Student 3 12%
Other 6 23%
Readers by discipline Count As %
Medicine and Dentistry 6 23%
Agricultural and Biological Sciences 6 23%
Biochemistry, Genetics and Molecular Biology 5 19%
Immunology and Microbiology 5 19%
Unspecified 4 15%
Other 0 0%

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 08 January 2016.
All research outputs
#5,931,804
of 6,920,439 outputs
Outputs from BMC Microbiology
#988
of 1,229 outputs
Outputs of similar age
#246,770
of 302,853 outputs
Outputs of similar age from BMC Microbiology
#41
of 48 outputs
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