Literature DB >> 22728749

Gene expression profiles predict emergence of psychiatric adverse events in HIV/HCV-coinfected patients on interferon-based HCV therapy.

Joseph Rasimas1, Antonios Katsounas, Haniya Raza, Alison A Murphy, Jun Yang, Richard A Lempicki, Anu Osinusi, Henry Masur, Michael Polis, Shyam Kottilil, Donald Rosenstein.   

Abstract

BACKGROUND: The efficacy of pegylated interferon-α and ribavirin (pegIFN/RBV) in the treatment of Hepatitis C infection is limited by psychiatric adverse effects (IFN-PE). Our study examined the ability of differential gene expression patterns before therapy to predict emergent IFN-PE among 28 HIV/HCV-coinfected patients treated with pegIFN-α2b/RBV.
METHODS: Patients dually infected with HIV and HCV were evaluated at baseline and during treatment by board-certified psychiatrists who classified patients into 2 groups: those who developed IFN-PE and those who did not (IFN-NPE). Gene expression analysis (Affymetrix HG-U133A) was performed using peripheral blood mononuclear cells before and after initiation of treatment. Analysis of Variance, post hoc analysis based on pair-wise comparisons, and functional annotation analysis identified differentially expressed genes within and between groups. Prediction analysis for microarrays was used to test the predictive ability of selected genes.
RESULTS: Twenty-four genes (16 upregulated and 8 downregulated) that were differentially expressed at baseline in patients who subsequently developed IFN-PE compared with the IFN-NPE group showed the ability to predict IFN-PE with an accuracy of 82%. In 16 patients with IFN-PE, 135 genes (117 upregulated; 18 downregulated) were significantly modulated after treatment. Of these, 10 genes have already been shown to be associated with neuropsychiatric illnesses and were significantly modulated only in patients who experienced IFN-PE.
CONCLUSIONS: We describe a novel molecular diagnostic biomarker panel to predict emergent IFN-PE in HIV/HCV-coinfected patients undergoing pegIFN/RBV treatment, which may improve the identification of patients at greatest risk for IFN-PE and suggest candidate therapeutic targets for preventing or treating IFN-PE.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22728749      PMCID: PMC3383605          DOI: 10.1097/QAI.0b013e31824c17c4

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  31 in total

Review 1.  Hepatitis C, interferon alfa, and depression.

Authors:  D Zdilar; K Franco-Bronson; N Buchler; J A Locala; Z M Younossi
Journal:  Hepatology       Date:  2000-06       Impact factor: 17.425

Review 2.  Neuropsychiatric symptoms associated with hepatitis C and interferon alpha: A review.

Authors:  E Dieperink; M Willenbring; S B Ho
Journal:  Am J Psychiatry       Date:  2000-06       Impact factor: 18.112

Review 3.  Glutamatergic mechanisms in schizophrenia.

Authors:  Guochuan Tsai; Joseph T Coyle
Journal:  Annu Rev Pharmacol Toxicol       Date:  2002       Impact factor: 13.820

4.  Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients.

Authors:  R C Arnau; M W Meagher; M P Norris; R Bramson
Journal:  Health Psychol       Date:  2001-03       Impact factor: 4.267

5.  Mononuclear phagocyte differentiation, activation, and viral infection regulate matrix metalloproteinase expression: implications for human immunodeficiency virus type 1-associated dementia.

Authors:  A Ghorpade; R Persidskaia; R Suryadevara; M Che; X J Liu; Y Persidsky; H E Gendelman
Journal:  J Virol       Date:  2001-07       Impact factor: 5.103

Review 6.  Mononuclear phagocytes mediate blood-brain barrier compromise and neuronal injury during HIV-1-associated dementia.

Authors:  Y Persidsky; J Zheng; D Miller; H E Gendelman
Journal:  J Leukoc Biol       Date:  2000-09       Impact factor: 4.962

7.  Diagnosis of multiple cancer types by shrunken centroids of gene expression.

Authors:  Robert Tibshirani; Trevor Hastie; Balasubramanian Narasimhan; Gilbert Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-14       Impact factor: 11.205

8.  Induction of alpha-synuclein aggregation by intracellular nitrative insult.

Authors:  E Paxinou; Q Chen; M Weisse; B I Giasson; E H Norris; S M Rueter; J Q Trojanowski; V M Lee; H Ischiropoulos
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

9.  Hepatitis C Virus prevalence among patients infected with Human Immunodeficiency Virus: a cross-sectional analysis of the US adult AIDS Clinical Trials Group.

Authors:  Kenneth E Sherman; Susan D Rouster; Raymond T Chung; Natasa Rajicic
Journal:  Clin Infect Dis       Date:  2002-02-06       Impact factor: 9.079

10.  A prospective study of neuropsychiatric symptoms associated with interferon-alpha-2b and ribavirin therapy for patients with chronic hepatitis C.

Authors:  Eric Dieperink; Samuel B Ho; Paul Thuras; Mark L Willenbring
Journal:  Psychosomatics       Date:  2003 Mar-Apr       Impact factor: 2.386

View more
  5 in total

1.  Interferon stimulated exonuclease gene 20 kDa links psychiatric events to distinct hepatitis C virus responses in human immunodeficiency virus positive patients.

Authors:  Antonios Katsounas; Joseph J Rasimas; Joerg F Schlaak; Richard A Lempicki; Donald L Rosenstein; Shyam Kottilil
Journal:  J Med Virol       Date:  2014-04-30       Impact factor: 2.327

2.  Factors affecting the accuracy of a class prediction model in gene expression data.

Authors:  Putri W Novianti; Victor L Jong; Kit C B Roes; Marinus J C Eijkemans
Journal:  BMC Bioinformatics       Date:  2015-06-21       Impact factor: 3.169

3.  Microarrays-Enabled Hypothesis Generation: The Suspect Role of FNBP-1 in Neuropsychiatric Pathogenesis Associated with HIV and/or HCV Infection.

Authors:  A Katsounas; K R Wilting; R A Lempicki; J F Schlaak; G Gerken
Journal:  J AIDS Clin Res       Date:  2016-12-07

4.  Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia.

Authors:  Putri W Novianti; Victor L Jong; Kit C B Roes; Marinus J C Eijkemans
Journal:  BMC Bioinformatics       Date:  2017-04-11       Impact factor: 3.169

5.  Evaluation of gene expression classification studies: factors associated with classification performance.

Authors:  Putri W Novianti; Kit C B Roes; Marinus J C Eijkemans
Journal:  PLoS One       Date:  2014-04-25       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.