Evidence map›Paper›PMID 22331615›Full record

ArticleHepatology (Baltimore, Md.)2012

Proteome and computational analyses reveal new insights into the mechanisms of hepatitis C virus-mediated liver disease posttransplantation.

Deborah L Diamond, Alexei L Krasnoselsky, Kristin E Burnum, Matthew E Monroe, Bobbie-Jo Webb-Robertson, Jason E McDermott, Matthew M Yeh, Jose Felipe Golib Dzib, Nathan Susnow, Susan Strom and 17 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Hepatology (Baltimore, Md.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Particulate matter (PMEnvironmental pollution (Barking, Essex : 1987) · 2020
    Article
  9. Article
  10. Rewiring Host Signaling: Hepatitis C Virus in Liver Pathogenesis.Cold Spring Harbor perspectives in medicine · 2020
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Applying proteomic technology to clinical virology.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2013
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 3 institutions in 2 countries.

Deborah L DiamondDepartment of Microbiology, University of Washington School of Medicine, Seattle, WA 98195-8070, USA. ddiamond@u.washington.edu
Alexei L Krasnoselsky
Kristin E Burnum
Matthew E Monroe
Bobbie-Jo Webb-Robertson
Jason E McDermott
Matthew M Yeh
Jose Felipe Golib Dzib
Nathan Susnow
Susan Strom
Sean C Proll
Sarah E Belisle
David E Purdy
Angela L Rasmussen
Kathie-Anne Walters
Jon M Jacobs
Marina A Gritsenko
David G Camp
Renuka Bhattacharya
James D Perkins
Robert L Carithers
Iris W Liou
Anne M Larson
Arndt Benecke
Katrina M Waters
Richard D Smith
Michael G Katze
University of Washington · USPacific Northwest National Laboratory · USCentre National de la Recherche Scientifique · FR

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
PROTEOMICS COREP30DA015625 · NIDA · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2002 to 2012
$18.9M
NCRR NIH HHS P41 RR018522NCRR NIH HHS RR018522NIDA NIH HHS 1P30DA01562501NIDA NIH HHS P30 DA015625
6 · The paper itself

Abstract

unlabelledLiver transplant tissues offer the unique opportunity to model the longitudinal protein abundance changes occurring during hepatitis C virus (HCV)-associated liver disease progression in vivo. In this study, our goal was to identify molecular signatures, and potential key regulatory proteins, representative of the processes influencing early progression to fibrosis. We performed global protein profiling analyses on 24 liver biopsy specimens obtained from 15 HCV(+) liver transplant recipients at 6 and/or 12 months posttransplantation. Differentially regulated proteins associated with early progression to fibrosis were identified by analysis of the area under the receiver operating characteristic curve. Analysis of serum metabolites was performed on samples obtained from an independent cohort of 60 HCV(+) liver transplant patients. Computational modeling approaches were applied to identify potential key regulatory proteins of liver fibrogenesis. Among 4,324 proteins identified, 250 exhibited significant differential regulation in patients with rapidly progressive fibrosis. Patients with rapid fibrosis progression exhibited enrichment in differentially regulated proteins associated with various immune, hepatoprotective, and fibrogenic processes. The observed increase in proinflammatory activity and impairment in antioxidant defenses suggests that patients who develop significant liver injury experience elevated oxidative stresses. This was supported by an independent study demonstrating the altered abundance of oxidative stress-associated serum metabolites in patients who develop severe liver injury. Computational modeling approaches further highlight a potentially important link between HCV-associated oxidative stress and epigenetic regulatory mechanisms impacting on liver fibrogenesis.

conclusionOur proteome and metabolome analyses provide new insights into the role for increased oxidative stress in the rapid fibrosis progression observed in HCV(+) liver transplant recipients. These findings may prove useful in prognostic applications for predicting early progression to fibrosis.

Indexed as

AdultAgedBiopsy, NeedleChromatography, LiquidCohort StudiesDiagnosis, Computer-AssistedDisease ProgressionFemaleGraft RejectionGraft SurvivalHepacivirusHepatitis CHumansImmunohistochemistryLiver CirrhosisLiver TransplantationProteome

Identifiers

PMID22331615
PMCPMC3387320
OpenAlexW2158279512

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.