JAIDS Journal of Acquired Immune Deficiency Syndromes:
Gene Expression Profiles Predict Emergence of Psychiatric Adverse Events in HIV/HCV-Coinfected Patients on Interferon-Based HCV Therapy
Rasimas, Joseph MD, PhD*,†; Katsounas, Antonios MD, PhD‡,§; Raza, Haniya MD*,‖; Murphy, Alison A. BA¶; Yang, Jun PhD‡; Lempicki, Richard A. PhD‡; Osinusi, Anu MD, MPH¶,#; Masur, Henry MD**; Polis, Michael MD¶; Kottilil, Shyam MD, PhD¶; Rosenstein, Donald MD*,††
*Office of the Clinical Director, National Institute of Mental Health, National Institutes of Health, Bethesda, MD
†Department of Psychiatry, Penn State College of Medicine, Hershey, PA
‡Laboratory of Immunopathogenesis and Bioinformatics, SAIC-Frederick Inc, NCIFrederick, Frederick, MD
§Department of Gastroenterology and Hepatology, Hufelandstrasse, D-Essen, Germany
‖Department of Psychiatry and Behavioral Sciences, Children's National Medical Center, Washington, DC
¶Section of Immunopathogenesis, Laboratory of Immunoregulation, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD
#Clinical Research Directorate, Clinical Monitoring Research Program, SAIC-Frederick Inc, NCIFrederick, Frederick, MD
**Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD
††Department of Psychiatry, University of North Carolina, Chapel Hill, NC
Correspondence to: Shyam Kottilil, MD, PhD, LIR, National Institute of Allergy and Infectious Diseases, National Institute of Health, Building 10, Room 11N204, 10 Center Drive, Bethesda, MD 20892 (e-mail: firstname.lastname@example.org).
This project has been funded in whole or in part with federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261200800001E. This research was supported in whole or in part by the Intramural Research Program of the NIH (National Institute of Allergy and Infectious Diseases).
Presented in part as one of the Presidential Plenary III talks on Tuesday, November 3, 2009 at the American Association for the Study of Liver Diseases, The Liver Meeting 2009, Boston, MA.
The authors contribution are as follows—R.J., K.S., P.M., and R.D.: study design, protocol writing, patient management, and article preparation. K.A., M.A., Y.J., and L.R.: Laboratory studies, data analysis, and article preparation. R.H., O.A., and M.H.: patient management and article preparation.
The content of this publication does not necessarily reflect the views of policies of the Department of Health and Human Services, nor does mention of trade names, commercial products or organizations imply endorsement by the US Government.
Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions this article on the journal's Web site (www.jaids.com).
The authors have no conflicts of interest to disclose.
Received October 13, 2011
Accepted January 19, 2012
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.
Chronic coinfection with hepatitis C virus (HCV) is documented in one-third of all HIV-infected persons in the United States, an estimated 250,000 people, and is associated with increased morbidity and mortality relative to monoinfection with either virus.1 Due to shared routes of transmission, HCV coinfection is observed in an even larger proportion of HIV-infected intravenous drug users with prevalence rates up to 90%.1,2 Since the advent of antiretroviral therapy (ART), AIDS-associated opportunistic infections have declined considerably. However, HIV/HCV-coinfected individuals demonstrate lower rates of sustained virologic response (SVR) to HCV therapy and increased rates of viral relapse among those who have achieved end-of treatment response.3–6 Furthermore, HIV/HCV-coinfected patients often have high rates of illicit drug use and psychiatric disorders, rendering them more difficult to manage during pegylated interferon α(IFN-α) and ribavirin (pegIFN/RBV) therapy.7,8
Approximately one-half of all patients receiving IFN-α–based therapy for HCV infection experience specific IFN-related psychiatric toxicities,7 which remain a major cause of dose reduction and treatment discontinuation in patients undergoing therapy for HCV.9,10 Moreover, psychiatric history and baseline symptomatology are not reliable predictors of subsequent development of IFN-related psychiatric toxicities in HCV-infected subjects undergoing therapy.10,11 In this regard, a recent study has suggested that emergence of IFN-related psychiatric toxicities correlate with HCV virologic response, strongly arguing for improved diagnosis and management of these toxicities.11 Besides early identification of emerging IFN-related psychiatric toxicities and active psychiatric management are critical in ensuring patient safety and enhancing the chance of eradication of HCV in this population. In this study, we developed molecular techniques to predict the emergence of serious psychiatric adverse events during treatment with pegIFN/RBV. Such an approach for screening and monitoring HIV/HCV-coinfected individuals could help improve the tolerability of pegIFN-α treatment, thereby decreasing the discontinuation rates for toxicities and enhancing the SVR rates although further elucidating genetic factors underlying the development of psychiatric symptoms.
MATERIALS AND METHODS
Thirty-two patients with stable HIV disease (with or without ART) and chronic HCV infection were enrolled in Institutional Review Board-approved studies at the National Institute of Allergy and Infectious Diseases in Bethesda, MD, for treatment of HCV infection with peg-interferon-alpha-2b (1.5 μg/Kg/wk) and ribavirin 1000–1200 mg/day (pegIFN/RBV). All patients signed a National Institute of Allergy and Infectious Diseases Institutional Review Board–approved protocol informed consent document. Four patients were taken off study (1 had a manic episode while on study medications; 2 were lost to follow-up; and 1 dropped out for social issues after 1 dose of medications). Twenty-eight patients on medication for at least 4 weeks were categorized into 2 groups (defined below): those who experienced no psychiatric toxicity and those who experienced psychiatric toxicity although receiving pegIFN/RBV treatment.
Study Subjects Selection
HIV/HCV-coinfected patients were eligible if they were older than 18 years, had a CD4 count >100 cells per cubic millimeter, HCV viral load >2000 copies per milliliter, histologic evidence of chronic HCV infection, and stable HIV disease being managed according to current HIV guidelines. Exclusion criteria included severe liver decompensation, active and severe psychiatric illness, active substance abuse or dependence (except nicotine) at baseline, severe cardiopulmonary illness, renal disease, a hemoglobinopathy, or a retinopathy. Participants with active psychiatric illness were treated and stabilized before enrollment. If participants' psychiatric illness could not be stabilized after mental health evaluation and treatment, they were excluded from the study (psychiatric evaluations are detailed below).
All patients underwent standard pretreatment psychiatric evaluations conducted by board-certified psychiatrists from the National Institute of Mental Health. Patients were assessed for current and past psychiatric and substance abuse diagnoses via semistructured clinical interview. Patients were seen in regular clinical psychiatric follow-up to assess response to treatment and control of mental health symptoms. Based upon the determination of National Institute of Mental Health Psychiatry, they had a minimum of 3 months of remitted symptoms before receiving study medications. This clinical assessment was corroborated by consistent Beck Depression Inventory (BDI-II) scores of less than or equal to 9 at the time of interferon treatment initiation. The majority of patients screened had a history of substance use, but only patients with active substance abuse or dependence (within the preceding six months) were excluded from the study. Patients who presented with active mood, anxiety, or psychotic symptoms were treated clinically and stabilized before study enrollment; 3 patients were given new prescriptions for citalopram, 1 was prescribed a dose increase of escitalopram and 1 was given risperidone. Four patients (including 2 of those given citalopram) increased their frequency of psychotherapy visits before study entry. During the study, depression was evaluated by examination for cause, standard diagnostic criteria (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition), and the BDI—the latter at every clinic visit (ranging from weekly to monthly, depending upon the demands of the IFN treatment schedule).12 Patients who received at least 4 weeks of pegIFN/RBV treatment were classified into 2 groups, those with (IFN-PE) and without (IFN-NPE) psychiatric toxicity after initiation of therapy (Box 1). Categorization of patients into these 2 groups was performed at the conclusion of the study in a blinded fashion before analysis of gene expression. Study participation was discontinued for patients in whom severe psychiatric toxicity developed and could not be safely managed during ongoing pegIFN/RBV treatment.
BOX 1 Classification of pegIFN/RBV-Related Psychiatric Toxicity Cited Here...
A. Emergent Psychiatric Symptoms (patients without psychiatric symptoms at baseline, regardless of psychiatric history) at any time during treatment
-Patient met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for a new psychiatric diagnosis; OR
-Patient developed psychiatric symptoms resulting in a new prescription for psychotropic medication (except sedative/hypnotics) or other mental health intervention such as psychotherapy; OR
-Patient had a BDI score that was both ≥15 and reflected an increase of at least 100% from study baseline.
B. Worsening Psychiatric Symptoms (patients with baseline psychiatric symptoms) at any time during treatment
-Patient had worsening psychiatric symptoms that impacted on pegIFN/RBV treatment (requiring dose reduction or discontinuation); OR
-Patient required dose adjustment of pre pegIFN/RBV treatment psychotropic medications, or the introduction of new psychotropic medications or psychotherapy to treat worsening symptoms; OR
-Patient had an increase in BDI score of 100% or greater from baseline
Patients meeting criterion A and/or B were classified as experiencing IFN-PE
DNA Microarray Analysis
Peripheral blood mononuclear cells (PBMCs) were collected pretreatment and at the end of treatment with pegIFN/RBV (48 weeks unless stopped earlier for adverse events or nonresponse to HCV therapy) and used for DNA microarray analysis (Fig. 1). The second sample was obtained within 5 days of the final dose of pegIFN-α 2b in each case. Total RNA and cRNA synthesis, labeling, and hybridization to the Affymetrix U133A human microarray chips (Affymetrix Inc, Santa Clara, CA) were performed according to the manufacturer's recommended protocol. Gene expression values (log2) were determined by GC-Robust Multi-Array algorithm (Z. J. Wu and R. Irizarray; available at: http://www.bioconductor.org) followed by a Loess normalization using an R package (available at: http://www.elwood9.net/spike).
Baseline Gene Expression Analysis
One-way Analysis of Variance (PARTEK Genomics Suite) was performed, followed by pair-wise post hoc statistical comparisons based on assigning patients into 2 groups (IFN-PE vs. IFN-NPE). At baseline, 24 genes were selected for use in prediction analysis on the basis of having a significant group comparison of P < 0.05 and an absolute mean-fold difference (log2MFC) of >0.58.
Prediction Analysis for Microarrays
We performed Prediction Analysis for Microarrays (PAM) to evaluate the utility of baseline expression profiles to predict the probability of a HIV/HCV-coinfected individual developing IFN-PE. The list of the 24 differentially expressed genes selected after the baseline analysis described above was tested for its predictive power in classifying patient samples according to IFN-PE using PAM software (version 2.0; Stanford University). The standardized difference, and thereby the number of relevant genes, was chosen by minimizing the prediction error using 10-fold balanced, leave 10%-out cross-validation within the training set. The threshold value that returned the lowest classification error with the fewest genes was deemed optimal. The same method can be used to predict classes (IFN-PE vs. IFN-NPE) for new samples.13
Pre-Post Gene Expression Analysis
To gain insight into the types of neurobiological pathways that might mediate IFN-induced psychiatric toxicity in HIV/HCV coinfection, samples from 25 (of 28 patients who received pegIFN/RBV) were successfully (hybridized to microarrays and) subjected to “posttreatment” DNA microarray analysis. In patients who developed IFN-PE, genes were identified as being significantly modulated by antiviral treatment using the same statistical criteria as for the baseline analysis above [P < 0.05; absolute MFC (log2MFC) of >0.58]. Supervised clustering of relative log2 gene expression values was performed to highlight changes in expression profiles after pegIFN/RBV therapy. Functional annotation analysis (DAVID 2.1) of the modulated genes was used to identify those already known to be involved in neurological and/or psychiatric disorders.
Real-Time Polymerase Chain Reaction Validation
Total RNA was isolated from peripheral blood mononuclear cells (PBMCs) and 150 ng was used for reverse transcription analysis, using the manufacturer's recommend protocol (applied biosystems [ABI] reverse transcription kit). One-fifteenth of the reverse transcription reaction mix was used for real-time polymerase chain reaction (PCR; in triplicate), using ABI_ Taqman gene expression master mix and the ABI 7900HT fast real-time PCR system. NRGN (ABIs assay ID: Hs00382922_m1), GLUL (ABIs assay ID: Hs00365928_g1), SNCA (ABIs assay ID: Hs01103383_m1), TIMP1 (ABIs assay ID: Hs00171558_m1), and GAPDH primers and probes were ordered through ABIs premade Taqman gene expression assays system: Probe sets and GAPDH (ABI assay ID:Hs01003716_m1). Each gene expression data were normalized to GAPDH expression levels and expressed as relative log2 values.
Study Subjects and Classification of Toxicity
28 HIV/HCV-coinfected patients were enrolled in this study (Table 1) Posttreatment samples from 3 patients were excluded from the analysis because of failed chip quality control tests; (2 developed IFN-PE.) Based on criteria described above, 18 (64%) patients developed psychiatric toxicity suggesting that IFN-PE is common in the HIV/HCV-coinfected patient. Thirteen patients experienced a major depressive episode, 4 developed first-onset mixed mood/anxiety states and one had an exacerbation of pre-existing bipolar disorder attributable to IFN treatment. Twelve of the patients received new or augmented antidepressant medication therapy during the study (mirtazapine, sertraline, or paroxetine), 2 received atypical antipsychotics (risperidone), and at least 6 enhanced their engagement in psychotherapy. Baseline characteristics of those who developed psychiatric toxicity and patients who did not were similar with regard to age, sex, race, interleukin (IL) 28B genotype, HCV viral load, HIV viral load, CD4+ T-cell counts, HCV genotype, concurrent ART and baseline psychiatric history (Table 1). BDI screening results were consistent with other criteria for assigning toxicity in each case. The more detailed clinical assessments for a variety of psychiatric symptoms were sufficient thus the BDI data are not presented here.
Differential Gene Expression Profiles of Study Subjects (IFN-PE vs. IFN-NPE)
To identify markers that might predict IFN-PE, we analyzed the differential gene expression profiles from all 28 subjects at baseline and identified 24 genes that were differentially expressed (P < 0.05; log2MFC >0.58) in the patients who experienced psychiatric toxicity after initiation of treatment compared with those who did not (see Figure, Supplemental Digital Content 1, http://links.lww.com/QAI/A272 and List, Supplemental Digital Content 2, http://links.lww.com/QAI/A273). In patients with IFN-PE, 16 genes were expressed at higher levels and 8 genes were expressed at lower levels before pegIFN/RBV treatment. Interestingly, interleukin-17 receptor (IL17RA) expression was upregulated, whereas IFN α–inducible protein 27 (IFI27) and interferon-stimulated exonuclease gene 20kDa (ISG20) were downregulated compared with IFN-NPE (comparative changes in the relative expression between groups).
Use of Baseline Gene Expression Profiles to Predict the Development of IFN-PE
Using these 24 genes, the PAM model was able to accurately classify 23 (82%) into IFN-PE and IFN-NPE groups (Fig. 2). The positive predictive value was 84% (observed number of patients with IFN-PE out of the predicted number with IFN-PE) and the negative predictive value was 80% (observed number of patients with IFN-NPE out of the predicted number with IFN-NPE).
Identification of Genes Associated With Emergence of Psychiatric Toxicity
Rigorous statistical analysis of pre-to-post expression profiles identified 135 genes (P < 0.05, log2MFC > 0.58) that were modulated in the IFN-PE group (n = 16 patients) as follows: 117 were upregulated and 18 downregulated (Fig. 3) (see List, Supplemental Digital Content 3, http://links.lww.com/QAI/A274). Using the same statistical cutoffs, only 32 genes were found to be significantly modulated in the IFN-NPE group (n = 9 patients) (see List, Supplemental Digital Content 4, http://links.lww.com/QAI/A275). A Venn diagram including these sets of 135 and 32 genes, respectively, revealed a subset of 13 genes that were significantly modulated (all upregulated) in all 25 patients after pegIFN/RBV therapy; consequently, they are unlikely to be biologically relevant for the development of IFN-PE (see List, Supplemental Digital Content 5, http://links.lww.com/QAI/A276). In contrast, 10 other genes (distinct from those 13 genes) with high degrees of both statistical and biological significance were identified by applying a systematic literature-mining algorithm (DAVID 2.1) to all 135 significantly modulated genes within the IFN-PE group (Fig. 3; see List, Supplemental Digital Content 6, http://links.lww.com/QAI/A277). Of these, the expression of 3 genes [neurogranin or protein kinase C substrate (NRGN), coagulation factor XIII/A1 polypeptide (F13A1), and chemokine “C-C motif'' ligand 5 (CCL5)] was downregulated (Fig. 3) in those who developed psychiatric toxicity. The expression of 7 genes [BCL2-associated athanogene (BAG1), interleukin 1 receptor antagonist (IL1RN), Myxovirus resistance 1/interferon-inducible protein p78 mouse. (MX-1), glutamate synthetase (GLUL), TIMP metallopeptidase inhibitor 1 (TIMP1), Metallothionein 2A (MT2A), and synuclein alpha (SNCA)] was induced by pegIFN/RBV in these individuals. IFN therapy resulted in the downregulation of the expression of NRGN (P < 0.02) and CCL5 (P < 0.03), respectively, and in the upregulation of the expression of MX-1 (P < 0.001), MT2A (P < 0.001), GLUL (P < 0.01), SNCA (P < 0.02), and TIMP1 (P < 0.02) (Fig. 4) which are highlighted based on existing biological significance. These genes were then validated by PCR. Thus, we identified PBMC gene expression profiles and biological pathways modulated by pegIFN/RBV therapy and specifically associated with the development of IFN-induced psychiatric toxicity in HIV/HCV-coinfected patients.
In this study, we have described a novel molecular diagnostic approach that accurately predicts the emergence of psychiatric toxicity associated with IFN therapy for chronic HCV in HIV/HCV-coinfected individuals. First, these results might aid in optimizing therapy among patients undergoing HCV treatment using IFN and enhance opportunities to eradicate the virus. Second, these findings provide insights into the pathophysiology of emergent psychiatric complications with the possible association of neurogranin, glutamate synthetase, TIMP-1, and SNCA A gene expression changes with IFN-PE and thereby could potentially serve as biomarkers of IFN-PE. Earlier studies have shown that a pre-existing psychiatric diagnosis is not predictive of IFN-induced psychiatric events.11,14 Hence, there is a need to improve the prediction of which patients will develop toxicity before initiation of IFN therapy, thereby allowing physicians to perform risk assessments and institute pre-emptive therapy for susceptible subjects. Our previous observations have indicated that emergent serious adverse events are often seen with patients who respond virologically to pegIFN/RBV therapy, further emphasizing the potential utility of developing and employing such a tool.11
Our study used a unique bioinformatics-based methodology to determine biomarker profiles predictive of IFN-PE in HIV-infected subjects undergoing HCV treatment with pegIFN/RBV. Baseline expression of 24 genes predicted the occurrence of IFN-PE with an accuracy of 82%, which will be invaluable for clinical purposes if confirmed in larger trials. IFN-inducible genes (IFIGs) such as ISG20 and IFI27 were among the genes downregulated in the IFN-PE group at baseline compared with IFN-NPE. We have previously reported that HIV/HCV-coinfected subjects who do not respond to treatment with pegIFN/RBV have an increased basal expression of IFIGs15 and that serious IFN-related neuropsychiatric complications may be seen among sustained viral responders (SVR) and not among nonresponders to anti-HCV therapy.11 Hence, the over expression of IFIGs seen with subjects who did not experience psychiatric toxicity further suggests associations between IFIGs, poor antiviral response rates, and fewer adverse events. These results provide support for the use of a novel molecular diagnostic biomarker panel that may be useful in predicting and optimizing the management of HIV-infected individuals undergoing therapy for HCV. Further validation of these gene profiles in a prospective clinical trial is necessary to establish clinical utility of this observation.
To identify genes that were expressed/depressed in association with incipient IFN-PE, we compared before and after therapy gene expression profiles from 25 patients and identified 10 genes related to numerous central nervous system (CNS) functions that were induced exclusively in those who experienced IFN-PE. Of those, 3 genes were downregulated and 8 were upregulated by pegIFN/RBV. Although all 10 gene products were previously associated with the occurrence of neuropsychiatric manifestations, NRGN, GLUL, and SNCA confirmed by PCR were of particular interest. In the CNS, these genes participate in pathways implicated in the pathogenesis of psychiatric disorders through alterations of serotonin, dopamine, and glutamate neurotransmitter systems and/or disruption of synaptic and neuronal plasticity.
The NRGN gene product neurogranin is a postsynaptic intelligence-quotient-motif–containing protein that accelerates Ca2+ dissociation from calmodulin, a key regulator of long-term potentiation and long-term depression in CA1 pyramidal neurons.16–18 Notably, altered neurogranin activity mediates the effects of N-methyl D-aspartate receptor hypofunction that has been implicated in the pathogenesis of schizophrenia19 and also seems to have a role in mood disorders, as well, so the affective, cognitive, and perceptual symptoms in our IFN-treated patients may all have some connection to this observed genetic modulation.
Glutamine synthetase (GS) is a ubiquitous enzyme that catalyzes the conversion of ammonia and glutamate to glutamine.20 GS is expressed from the GLUL gene throughout the brain, and it plays a central role in the detoxification of ammonia and in the metabolic regulation of the neurotransmitter glutamate.21 Because glutamate is the main physiologic activator of N-methyl D-aspartate receptor receptors, GS modulation may be related to IFN-PE. Furthermore, because GS activity influences astrocyte function and affects neuronal activity, it is plausible that upregulation of GS is a compensatory response in cells of monocyte/macrophage lineage after an insult, which in our study may be the effects of IFN on the brain.22,23
The third candidate gene, α-SNCA belongs to a family of vertebrate proteins, encoded by 3 different genes: α, ß, and γ. The protein has generated great interest in the last few years after the discovery that a mutation in the α-SNCA gene is associated with familial autosomal-dominant early-onset forms of Parkinson disease.24 Previous findings have suggested that α-SNCA plays a role in neurotransmitter release and in synaptic plasticity.24 As with the example of GS, we believe that upregulation of SNCA may be a compensatory response in cells of monocyte/macrophage lineage that might contribute to IFN-induced psychiatric toxicity.24
Because this microarray-generated gene signature for IFN-PE was identified using PBMC samples, there may be emergent conditions linked to HIV/HCV coinfection–specific pathogenesis that might allow immune cells from the periphery to gain access into the CNS and, thus express and directly secrete in the brain parenchyma neuropsychiatric-modulating gene products in response to IFN-α. In this regard, it has been shown that HIV infection is associated with increased blood-brain barrier disruption and increased leukocyte penetration into the CNS mediated by increased extracellular levels of matrix metallopeptidase 9 released from monocytes and T cells.25–27 HIV Tat, gp120, and IFN-α have been shown to upregulate matrix metallopeptidase 9 expression by inducing the production of tumor necrosis factor α and interleukin 1 (IL-1) in mononuclear leukocytes.27,28 These cytokines participate in pathways reportedly involved in the development of psychiatric disorders through alterations in the CNS of serotonin, dopamine and glutamate neurotransmitter systems and/or disruption of synaptic and neuronal plasticity.29,30 Thus, IFN-α–induced gene products expressed and/or secreted by immune cells may have a role in the development of psychiatric disorders in HIV/HCV coinfection. This would also explain how gene products secreted in response to IFN-α might be pathogenic factors that further enhance IFN-PE in HIV/HCV-coinfected patients as compared with HCV-monoinfected patients.4 In this regard, IFN is a potent inducer of IL-1 and tumor necrosis factor α. These cytokines are reportedly involved in the development of psychiatric disorders through various alterations in the CNS.29,30 Given recent studies suggesting that sufficient amounts of peripherally administrated IFN can cross the human blood-brain barrier,31 we suggest that gene products secreted in response to IFN-α might be a pathogenic factor that further enhances IFN-PE in HIV/HCV-coinfected patients as compared with HCV-monoinfected patients.
A major limitation is that a majority of the study subjects carried a pre-existing psychiatric diagnosis. The influence of those illnesses and the medications used to treat them in this relatively small sample may have affected gene expression profiles. Specifically, about one-fifth of the patients were taking psychotropic medications at baseline (mostly Iantidepressants), and the majority who experienced IFN-PE had a medication change (most commonly the addition of mirtazapine or an SSRI). Although there is no known data regarding the effects of these medications on the genes identified through sampling of our patients at different stages of treatment, an interfering effect cannot be ruled out. Ideally, it would be preferable to study a group of subjects without premorbid mental illness and then identify those who develop neuropsychiatric adverse events, which is highly improbable in clinic populations of dually infected patients. To offset potential bias, the binary classification of psychiatric toxicity was performed before genomic analysis in a blinded fashion with respect to viral response to treatment. Furthermore, this study does not include any HCV-monoinfected patients and as such the results are only applicable to HIV/HCV-coinfected population. Future studies will address these concerns in ongoing clinical trials of HCV-infected subjects treated with direct acting antivirals in combination with pegIFN/RBV therapy.
In summary, IFN-induced neuropsychiatric adverse events are common in patients undergoing HCV treatment and threaten the prolonged course of therapy required for successful eradication of HCV infection. This study describes a novel molecular approach to aid the prediction of IFN-emergent toxicity based upon pretreatment gene profiles. Moreover, IFN induces several candidate genes that may be causally related to the occurrence of psychiatric symptoms. These genes could serve as biomarkers or as novel therapeutic targets for IFN-associated psychiatric complications and may elucidate more generally applicable mechanisms of psychopathology as well. Future studies will evaluate the roles of these genes and proteins in patients undergoing HCV treatment in a prospective manner.
1. Alter MJ, Kruszon-Moran D, Nainan OV, et al.. The prevalence of hepatitis C virus infection in the United States, 1988 through 1994. N Engl J Med. 1999;341:556–562.
2. Sherman KE, Rouster SD, Chung RT, et al.. Hepatitis C virus prevalence among patients infected with human immunodeficiency virus: a cross-sectional analysis of the US adult AIDS Clinical Trials Group. Clin Infect Dis. 2002;34:831–837.
3. Carrat F, Bani-Sadr F, Pol S, et al.. Pegylated interferon alfa-2b vs standard interferon alfa-2b, plus ribavirin, for chronic hepatitis C in HIV-infected patients: a randomized controlled trial. JAMA. 2004;292:2839–2848.
4. Laguno M, Murillas J, Blanco JL, et al.. Peginterferon alfa-2b plus ribavirin compared with interferon alfa-2b plus ribavirin for treatment of HIV/HCV co-infected patients. AIDS. 2004;18:F27–F36.
5. Soriano V, Perez-Olmeda M, Rios P, et al.. Hepatitis C virus (HCV) relapses after anti-HCV therapy are more frequent in HIV-infected patients. AIDS Res Hum Retroviruses. 2004;20:351–353.
6. Torriani FJ, Ribeiro RM, Gilbert TL, et al.. Hepatitis C virus (HCV) and human immunodeficiency virus (HIV) dynamics during HCV treatment in HCV/HIV coinfection. J Infect Dis. 2003;188:1498–1507.
7. Sulkowski MS, Thomas DL. Perspectives on HIV/hepatitis C virus co-infection, illicit drug use and mental illness. AIDS. 2005;19(suppl 3):S8–S12.
8. Voigt E, Schulz C, Klausen G, et al.. Pegylated interferon alpha-2b plus ribavirin for the treatment of chronic hepatitis C in HIV-coinfected patients. J Infect. 2006;53:36–42.
9. Zdilar D, Franco-Bronson K, Buchler N, et al.. Hepatitis C, interferon alfa, and depression. Hepatology. 2000;31:1207–1211.
10. Dieperink E, Willenbring M, Ho SB. Neuropsychiatric symptoms associated with hepatitis C and interferon alpha: A review. Am J Psychiatry. 2000;157:867–876.
11. Osinusi A, Rasimas JJ, Bishop R, et al.. HIV/Hepatitis C virus-coinfected virologic responders to pegylated interferon and ribavirin therapy more frequently incur interferon-related adverse events than nonresponders do. J Acquir Immune Defic Syndr. 2010;53:357–363.
12. Arnau RC, Meagher MW, Norris MP, et al.. Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients. Health Psychol. 2001;20:112–119.
13. Tibshirani R, Hastie T, Narasimhan B, et al.. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci U S A. 2002;99:6567–6572.
14. Dieperink E, Ho SB, Thuras P, et al.. A prospective study of neuropsychiatric symptoms associated with interferon-alpha-2b and ribavirin therapy for patients with chronic hepatitis C. Psychosomatics. 2003;44:104–112.
15. Lempicki RA, Polis MA, Yang J, et al.. Gene expression profiles in hepatitis C virus (HCV) and HIV coinfection: class prediction analyses before treatment predict the outcome of anti-HCV therapy among HIV-coinfected persons. J Infect Dis. 2006;193:1172–1177.
16. Gaertner TR, Putkey JA, Waxham MN. RC3/Neurogranin and Ca2+/calmodulin-dependent protein kinase II produce opposing effects on the affinity of calmodulin for calcium. J Biol Chem. 2004;279:39374–39382.
17. Putkey JA, Kleerekoper Q, Gaertner TR, et al.. A new role for IQ motif proteins in regulating calmodulin function. J Biol Chem. 2003;278:49667–49670.
18. Huang KP, Huang FL, Jager T, et al.. Neurogranin/RC3 enhances long-term potentiation and learning by promoting calcium-mediated signaling. J Neurosci. 2004;24:10660–10669.
19. Tsai G, Coyle JT. Glutamatergic mechanisms in schizophrenia. Annu Rev Pharmacol Toxicol. 2002;42:165–179.
20. Yamamoto H, Konno H, Yamamoto T, et al.. Glutamine synthetase of the human brain: purification and characterization. J Neurochem. 1987;49:603–609.
21. Khelil M, Rolland B, Fages C, Tardy M. Glutamine synthetase modulation in astrocyte cultures of different mouse brain areas. Glia. 1990;3:75–80.
22. Zamora AJ, Cavanagh JB, Kyu MH. Ultrastructural responses of the astrocytes to portocaval anastomosis in the rat. J Neurol Sci. 1973;18:25–45.
23. Yamamoto H. Hyperammonemia, increased brain neutral and aromatic amino acid levels, and encephalopathy induced by cyanide in mice. Toxicol Appl Pharmacol. 1989;99:415–420.
24. Paxinou E, Chen Q, Weisse M, et al.. Induction of alpha-synuclein aggregation by intracellular nitrative insult. J Neurosci. 2001;21:8053–8061.
25. Persidsky Y, Zheng J, Miller D, et al.. Mononuclear phagocytes mediate blood-brain barrier compromise and neuronal injury during HIV-1-associated dementia. J Leukoc Biol. 2000;68:413–422.
26. Ghorpade A, Persidskaia R, Suryadevara R, et al.. Mononuclear phagocyte differentiation, activation, and viral infection regulate matrix metalloproteinase expression: implications for human immunodeficiency virus type 1-associated dementia. J Virol. 2001;75:6572–6583.
27. Lafrenie RM, Wahl LM, Epstein JS, et al.. Activation of monocytes by HIV-Tat treatment is mediated by cytokine expression. J Immunol. 1997;159:4077–4083.
28. Capuron L, Miller AH. Cytokines and psychopathology: lessons from interferon-alpha. Biol Psychiatry. 2004;56:819–824.
29. Lu T, Pan Y, Kao SY, et al.. Gene regulation and DNA damage in the ageing human brain. Nature. 2004;429:883–891.
30. Schaefer M, Schwaiger M, Pich M, et al.. Neurotransmitter changes by interferon-alpha and therapeutic implications. Pharmacopsychiatry. 2003;36(suppl 3):S203–S206.
31. Raison CL, Borisov AS, Majer M, et al.. Activation of central nervous system inflammatory pathways by interferon-alpha: relationship to monoamines and depression. Biol Psychiatry. 2009;65:296–303.
HIV/HCV; peg-interferon; psychiatric toxicities; gene expression; prediction
Supplemental Digital Content
© 2012 Lippincott Williams & Wilkins, Inc.
What does "Remember me" mean?
By checking this box, you'll stay logged in until you logout. You'll get easier access to your articles, collections,
media, and all your other content, even if you close your browser or shut down your
To protect your most sensitive data and activities (like changing your password),
we'll ask you to re-enter your password when you access these services.
What if I'm on a computer that I share with others?
If you're using a public computer or you share this computer with others, we recommend
that you uncheck the "Remember me" box.
Highlight selected keywords in the article text.
Data is temporarily unavailable. Please try again soon.