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Identification of the transcripts associated with spontaneous HCV clearance in individuals co-infected with HIV and HCV

Overview of attention for article published in BMC Infectious Diseases, November 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

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1 patent
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1 Facebook page

Citations

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2 Dimensions

Readers on

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14 Mendeley
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Title
Identification of the transcripts associated with spontaneous HCV clearance in individuals co-infected with HIV and HCV
Published in
BMC Infectious Diseases, November 2016
DOI 10.1186/s12879-016-2044-7
Pubmed ID
Authors

Yue Chen, Chengli Shen, Debjani Guha, Ming Ding, Scott Kulich, Aiymkul Ashimkhanova, Charles Rinaldo, Eric Seaberg, Joseph B. Margolick, Valentina Stosor, Otoniel Martínez-Maza, Phalguni Gupta

Abstract

Infection with human immunodeficiency virus (HIV) influences the outcome and natural disease progression of hepatitis C virus (HCV) infection. While the majority of HCV mono-infected and HCV/HIV co-infected subjects develop chronic HCV infection, 20-46% of mono- and co-infected subjects spontaneously clear HCV infection. The mechanism underlying viral clearance is not clearly understood. Analysis of differential cellular gene expression (mRNA) between HIV-infected patients with persistent HCV infection or spontaneous clearance could provide a unique opportunity to decipher the mechanism of HCV clearance. Plasma RNA from HIV/HCV co-infected subjects who cleared HCV and those who remained chronically infected with HCV was sequenced using Ion Torrent technology. The sequencing results were analyzed to identify transcripts that are associated with HCV clearance by measuring differential gene expression in HIV/HCV co-infected subjects who cleared HCV and those who remained chronically infected with HCV. We have identified plasma mRNA, the levels of which are significantly elevated (at least 5 fold, False Discovery Rate (FDR) <0.05) before HCV infection in subjects who cleared HCV compared to those who remained chronically infected. Upon further analysis of these differentially expressed genes, before and after HCV infection, we found that before HCV infection 12 genes were uniquely upregulated in the clearance group compared to the chronically infected group. Importantly, a number of these 12 genes and their upstream regulators (such as CCL3, IL17D, LBP, SOCS3, NFKBIL1, IRF) are associated with innate immune response functions. These results suggest that subjects who spontaneously clear HCV may express these unique genes associated with innate immune functions.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Researcher 2 14%
Student > Master 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Immunology and Microbiology 2 14%
Medicine and Dentistry 2 14%
Nursing and Health Professions 1 7%
Engineering 1 7%
Other 0 0%
Unknown 5 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 April 2020.
All research outputs
#5,451,857
of 17,444,955 outputs
Outputs from BMC Infectious Diseases
#1,722
of 6,183 outputs
Outputs of similar age
#98,290
of 278,532 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 17,444,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,183 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 278,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them