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. 2013 Nov 13;8(11):e78474. doi: 10.1371/journal.pone.0078474

Activation of MSRV-Type Endogenous Retroviruses during Infectious Mononucleosis and Epstein-Barr Virus Latency: The Missing Link with Multiple Sclerosis?

Giuseppe Mameli 1, Giordano Madeddu 2, Alessandra Mei 1, Elena Uleri 1, Luciana Poddighe 1, Lucia G Delogu 3, Ivana Maida 2, Sergio Babudieri 2, Caterina Serra 1, Roberto Manetti 2, Maria S Mura 2, Antonina Dolei 1,*
Editor: James P Stewart4
PMCID: PMC3827255  PMID: 24236019

Abstract

The etiology of multiple sclerosis (MS) is still unclear. The immuno-pathogenic phenomena leading to neurodegeneration are thought to be triggered by environmental (viral?) factors operating on predisposing genetic backgrounds. Among the proposed co-factors are the Epstein Barr virus (EBV), and the potentially neuropathogenic HERV-W/MSRV/Syncytin-1 endogenous retroviruses. The ascertained links between EBV and MS are history of late primary infection, possibly leading to infectious mononucleosis (IM), and high titers of pre-onset IgG against EBV nuclear antigens (anti-EBNA IgG). During MS, there is no evidence of MS-specific EBV expression, while a continuous expression of HERV-Ws occurs, paralleling disease behaviour. We found repeatedly extracellular HERV-W/MSRV and MSRV-specific mRNA sequences in MS patients (in blood, spinal fluid, and brain samples), and MRSV presence/load strikingly paralleled MS stages and active/remission phases. Aim of the study was to verify whether HERV-W might be activated in vivo, in hospitalized young adults with IM symptoms, that were analyzed with respect to expression of HERV-W/MSRV transcripts and proteins. Healthy controls were either EBV-negative or latently EBV-infected with/without high titers of anti-EBNA-1 IgG. The results show that activation of HERV-W/MSRV occurs in blood mononuclear cells of IM patients (2Log10 increase of MSRV-type env mRNA accumulation with respect to EBV-negative controls). When healthy controls are stratified for previous EBV infection (high and low, or no anti-EBNA-1 IgG titers), a direct correlation occurs with MSRV mRNA accumulation. Flow cytometry data show increased percentages of cells exposing surface HERV-Wenv protein, that occur differently in specific cell subsets, and in acute disease and past infection. Thus, the data indicate that the two main links between EBV and MS (IM and high anti-EBNA-1-IgG titers) are paralleled by activation of the potentially neuropathogenic HERV-W/MSRV. These novel findings suggest HERV-W/MSRV activation as the missing link between EBV and MS, and may open new avenues of intervention.

Introduction

Multiple sclerosis (MS) is a chronic neurological disease, which usually begins in early adulthood. It causes repeated unpredictable bouts of motor disorders, partial paralysis, sensory abnormalities and visual impairment, with demyelination and gliosis, various degrees of axonal pathology and episodic or progressive neurological disability. The aetiology is unknown and complex, but results from an inflammatory process that, among other effects, attacks and destroys oligodendrocytes, the cells that form the myelin sheaths around axons in the brain and spinal cord [1]. The immunopathogenic phenomena leading to MS are thought to be triggered by environmental (viral?) factors operating on a predisposing genetic background.

Several viruses have been proposed as co-factors that may contribute to MS risk [2][3], by direct (acute or persistent) infection of the brain, or peripheral infection activating cross-reactive T-cells, acting against nerve myelin [4]. The most consistent studies (and confirmed by independent groups) for a potential virus involvement in MS exist for the Epstein Barr virus (EBV) [5][8], and for two members of the W family of human endogenous retroviruses (HERV-W): MSRV (MS associated retrovirus), and ERVW-1, an element expressing only the env protein, named Syncytin-1, as reviewed in [9][13].

The MSRV element (MS-associated retrovirus) is the first known member of the HERV-W family [14]; it has been detected and purified from cells of MS patients, as free virus-like particles, carrying RT activity and an RNA genome with terminal repeats, gag, pol and env regions. The other HERV-W member related to MS is an element located on chromosome 7q21–22, that has inactivating mutations in the gag and pol genes and is not able to form virus-like particles [15]. The env product of ERVW-1 has been named syncytin-1, since it is produced by placental trophoblasts and causes their fusion, to form the syncytial layer during pregnancy [16]. The syncytin-1 protein can be found intracellularly and on the plasma membrane, but has not been detected extracellularly, nor its RNA sequence in virus-like particles [10].

Independent studies have shown that MSRVenv and syncytin-1 proteins share several potentially pathogenic, biological features, as induction of T mediated immunopathology, of pro-inflammatory cytokines and T-cell responses, with polyclonal expansion, as reviewed in [10][11], and have been shown to cause neurotoxic effects in vitro and in humanized or transgenic animal models [15], [17]: they may cause neuroinflammation, neurodegeneration, alterations of the immune system and stress responses; both have been suggested as co-factors triggering the immuno-pathogenesis of MS. Expression of HERV-W/MSRV/syncytin-1 occurs in astrocytes of MS lesions of the brain [15], [18][20], as well as in endothelial and microglial cells [21]. In a mouse model, oligodendrocytes (which produce the myelin sheath of the nerve) were shown to be sensitive to syncytin-mediated release of redox reactants from astrocytes [15].

Studies from our group found repeatedly retrovirus-like MSRV particles and MSRV-specific mRNA sequences in MS patients (in blood, spinal fluid, and brain samples), and MRSV presence/load strikingly paralleled disease behaviour. A multicentre study of MS patients and controls from different European areas showed that MSRV presence and load in blood and spinal fluid was significantly associated to MS in all ethnic groups [22]. Direct parallelisms were observed between MSRV positivity/load (in blood, spinal fluid, and brain samples) and MS temporal and clinical stages, as well as active/remission phases; moreover MSRV positivity of spinal fluids increased with MS duration [23]. Notably, MSRV presence in spinal fluids of early MS cases was related to worse prognosis in the next ten years: starting from comparable conditions, after three [24], six [25], and ten years [26], mean disability, annual relapse rate, therapy requirement and progression to secondary-progressive MS were significantly higher in patients starting with MSRV-positive spinal fluids. When we monitored MS patients receiving treatment, a major reduction of HERV-W/MSRV/syncytin-1 was detected in patients undergoing efficacious, current therapies [13], [27]. Notably, in a longitudinal evaluation, a patient, after initial clinical and virological benefit, had MSRV rescue, preceding strong disease progression and therapy failure [27]. From the above findings, we proposed that evaluation of plasmatic MSRV could be considered the first prognostic marker for the individual patient, to monitor disease progression and therapy outcome. This possibility is reinforced by the study of patients with optic neuritis, a disease frequently prodromic to MS: MSRV positivity of patients was found significantly higher than that of pathological controls, and the conversion to full-blown MS in the next 20 months occurred only among MSRV-positive patients [28]. In line with our findings, an independent 1-year follow up study of MS patients observed significant decreases in anti-HERV-Wenv and anti-HERV-Henv antibody reactivity as a consequence of IFN-β therapy, closely linked to efficacy of therapy/low disease activity [29]. Other HERVs were reported to be activated in MS patients [3], [9], [12]. However none of them, but HERV-W, has been shown to exert potentially (neuro)pathogenic properties.

As for EBV, seroepidemiological studies have provided substantial support for the association between EBV and MS [5][8], [30][31]. The risk of MS is low in EBV-negative individuals [32][34], and increases several folds following EBV infection, particularly if the EBV infection occurs in late adolescence or adulthood, when the infection is symptomatic. Indeed, in 35 to 50 per cent of the cases, the delayed EBV primary infection causes infectious mononucleosis (IM), that has been associated with a two-to-four fold increased risk of MS, [5], [35][38]. There is also an increased risk of MS among EBV-positive children [39]. A meta-analysis showed an association between the appearance of anti-EBV antibodies and the MS onset, 5–20 years later [7]; another one reported that the relative risk of MS for a past history of IM is 2.17 [8]. In addition, elevated serum titers of pre-onset anti-EBNA antibodies have been associated with an increased risk of MS [35], [40]. A recent meta-analysis of all data published from from 1960 to 2012 showed a significant OR for sero-positivity to anti-EBNA (EBV nuclear antigens) IgG and anti-VCA IgG in MS cases, but not for anti-EA IgG sero-positivity [6]. Notably, high levels of anti-EBNA IgG antibody are established risk factors for MS [35].

There is convincing epidemiological evidence that late EBV primary infection/seroconversion is a risk factor for MS development, nevertheless, the relationship between EBV and MS pathogenesis remains elusive [4], [30][31]. No studies have found yet evidence of EBV expression specific to MS, and currently there is no consensus in establishing whether there is a presence of EBV-infected cells in the central nervous system (CNS) of MS patients[30], [41][42]. Therefore, it remains to be determined whether EBV would continue to play a role after disease initiation.

Several potentially pathogenic mechanisms explaining an EBV causative role for MS, yet very speculative, have been proposed, as recently reviewed [4], [30]; they include molecular mimicry (generation of autoreactive T cells are primed against EBV, but cross-reacting with CNS antigens), and generation of EBV-infected autoreactive B cells (that would seed the target organ expressing the autoantigen and produce autoantibodies and costimulatory signals to autoreactive T cells).

Recently, we showed that the binding to the plasmamembrane of EBVgp350, the major envelope protein of EBV, is sufficient to activate the potentially immunopathogenic and neuropathogenic HERV-W/MSRV/syncytin-1, in cells that may be involved in MS pathogenesis, deriving from blood and brain [13]. Hence, we made the hypothesis of a possible involvement of both viruses in MS pathogenesis, with the possibility for MSRV of a direct role of effector of pathogenicity, and for EBV of an initial trigger of future MS, years later. This “dual virus hypothesis” has been done also for torque teno virus [43], but an association between infection by this ubiquitous virus and MS could not be established so far [44].

Aim of the present study was to verify whether HERV-W activation by EBV might occur also in vivo, during a delayed primary infection by EBV, in young adults with IM symptoms requiring hospitalization. Indeed, the data indicate that the main links between EBV and MS (IM and high anti-EBNA-IgG titers) are paralleled by activation of the potentially neuropathogenic HERV-W/MSRV.

Materials and Methods

Ethics Statement

The study was approved by the Sassari ASL Ethics Committee (Protocol number 1120/L). The patients and the volunteers gave written informed consent. Written informed consent from the next of kin (which was one of the parents in all cases) on the behalf of minors (under the age of 18) was obtained.

Patients

Seventeen consecutive IM patients (mean age 23.2±5.7 years, median 22, 13 females and 4 males), hospitalized in the Section of Infectious Diseases, Department of Clinical and Experimental Medicine, University of Sassari, were enrolled. Laboratory diagnosis of acute EBV infection was made by serological assays confirming the presence of EBV viral capsid antigen (VCA) IgM antibodies. For each patient, the data collected included type and duration of symptoms, family history for autoimmune diseases, including MS, neurological signs, routine IM-related clinical symptoms and signs, hematological values, and any steroid therapy. Serum EBV-specific IgG and IgM antibodies were detected by commercially available Chemiluminescence Immunoassays (CLIA), following manifacturer’s instructions (LIAISON® VCA IgG, IgM and EBNA-1 IgG, DiaSorin S.p.A. Vercelli, Italy). In most patients EBV DNA was evaluated in the plasma by real-time PCR (EBV ELITe MGB™ Kit, according to the manufacturer’s protocols. Twenty four matched healthy donors (HD, mean age 26.2±4.8 years, median 25, 16 females and 8 males) were included as controls. Nine of them were EBV-negative, while fifteen had been infected by EBV previously. Of the latters, eight individuals had high levels of IgG antibody to the Epstein-Barr nuclear antigens (EBNA-1 IgG, titers >600 IU/ml). On Table 1 the most relevant demographic and clinical characteristics of hospitalized IM patients and of healthy controls are reported.

Table 1. Demographic and clinical characteristics of patients hospitalized with infectious mononucleosis and of healthy controls.

Sample Age Sex Days from onset Fever(°C) VCA IgM(UI/ml) VCA IgG(UI/ml) EBNA-1 IgG(UI/ml) EAIgG(UI/ml) EBVDNAa
IM-1 18 M 5 38.5 >160 80 neg 115 <185
IM-2 23 F 8 40 >160 126 neg blb neg
IM-3 19 F 9 38.5 106 neg neg neg ndc
IM-4 20 F 10 39 >160 146 neg >150 nd
IM-5 23 F 10 37.5 >160 35 neg bl neg
IM-6 32 F 10 38 >160 33 bl neg 5,725
IM-7 22 F 10 37.5 83 119 neg 104 nd
IM-8 22 F 12 39 >160 195 bl 69 neg
IM-9 23 M 12 39 115 231 neg >150 1,685
IM-10 23 F 15 38.5 49 21 neg neg 225
IM-11 21 F 16 38 >160 58 bl 65 <185
IM-12 14 F 17 39 >160 108 neg >150 180
IM-13 22 F 18 38 Pos pos pos bl nd
IM-14 27 M 19 38.5 >160 58 neg 54 401
IM-15 19 F 23 38.2 >160 neg neg neg nd
IM-16 40 M 37 39.5 95 neg neg neg neg
IM-17 27 F 55 37.5 >160 345 >600 >150 neg
HD-1 20 F Neg neg neg neg nd
HD-2 21 F Neg neg neg neg nd
HD-3 22 F Neg neg neg neg nd
HD-4 23 F Neg neg neg neg nd
HD-5 23 F Neg neg neg neg nd
HD-6 27 F Neg neg neg neg nd
HD-7 31 F Neg neg neg neg nd
HD-8 31 M Neg neg neg neg nd
HD-9 32 F Neg neg neg neg nd
HD-10 20 M Neg 483 157 neg nd
HD-11 21 M Neg 137 246 neg nd
HD-12 23 F Neg 158 48 nd nd
HD-13 23 F Neg 143 142 neg nd
HD-14 26 M Neg nd <600 nd nd
HD-15 28 M Neg 81,3 289 neg nd
HD-16 29 F Neg nd <600 nd nd
HD-17 23 F Neg nd >600 nd nd
HD-18 23 F Neg nd >600 nd nd
HD-19 25 F Neg >750 >600 neg nd
HD-20 26 M Neg >750 >600 neg nd
HD-21 29 F Neg >750 >600 neg nd
HD-22 29 M Neg 176 >600 neg nd
HD-23 35 F Neg neg >600 neg nd
HD-24 39 M Neg nd >600 nd nd
a

data are expressed as EBNA-1 DNA copies/ml of plasma. Detection limits: 100 copies/ml of plasma;

b

bl, borderline;

c

not done.

Blood Cell Separation

Peripheral blood mononuclear cells (PBMC) were isolated from heparinized peripheral blood samples by layering on Ficoll/Hipaque, as described [27]. Cell viability was assessed with the Trypan blue exclusion method. The cells were either frozen in deep cold, or processed immediately for further studies (see below).

RNA Extraction and Real-time RT-PCR

The polyA+ RNAs were extracted from 50.000 cells, by mRNA Dynabeads® kit (Dynal Biotech, Oslo, NO) and retrotranscribed, as described [13]. Selective amplification of the MSRV-type HERV-Wenv transcripts was obtained by a discriminatory real time RT-PCR assay, as published in [45]. The RNA amounts used for retrotranscription were 1.5 µg/sample, and the PCR temperature was 60°C. The quantification of cDNA sequences was obtained by external calibration curves, obtained from serial dilutions of plasmids containing the amplicon of interest (10–105 copies/well), as described previously [18]. The TaqMan® MSRVenv probe was designed by the Beacon Designer software (PREMIER Biosoft International CorinaWay Palo Alto, CA). To control for correct amplification and retrotranscription, a positive sample was also submitted to each RNA extraction procedure, and the resulting extract was amplified in triplicate. Parallel RNA samples were also exposed to PCR amplification without the RT step, to detect contaminant DNA. Prevention measures against cross-contamination were employed. For each sample, the Ct (cycle threshold) value of the gene of interest (GI) was normalized by comparison to the Ct of the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) invariate housekeeping gene, assuming that: (i) a difference of 1 between sample Cts means that the sample with the lower Ct value had double the target sequence of the other sample, and (ii) the rate of Ct change versus the rate of target copy change is identical for the gene of interest and the housekeeping gene. housekeeping gene. The data have been expressed according to the 2−ΔCt Method, according to the following formula:

graphic file with name pone.0078474.e001.jpg

where

graphic file with name pone.0078474.e002.jpg

Flow Cytometry Analyses

Aliquots of 250,000 alive PBMC were employed for each evaluation. The detection of HERV-Wenv protein on the plasma membrane, as well as the phenotype of PBMC subpopulations, were performed by flow cytometry as described [13]. Briefly, the detection of HERV-Wenv protein on the plasma membrane was performed using anti-HERV-Wenv rabbit polyclonal antibody (Allele Biotec, 2 µg/sample, for 20 minutes at room temperature in the dark) and secondary fluorescein isothiocyanate-conjugated goat anti-rabbit IgG (Sigma-Aldrich). The isotype control was a pre-immune rabbit serum (Santa Cruz Biotechnology, Inc). To determine the phenotype of cell subpopulations, the PBMC were stained for 20 minutes at room temperature in the dark with allophycocyanin-conjugate anti-CD14, phycoerythrin-conjugated anti-CD19, and peridinin-chlorophyll-conjugated anti-CD16 antibodies (BD Biosciences). As isotype control, an anti-rabbit IgG antibody was used (Santa Cruz Biotechnology, Inc). Cells were analysed on a FACS Calibur flow cytometer, using Cells Quest software (Becton-Dickinson). The area of positivity was determined using an isotype-matched antibody; a total of at least 50,000 events for each sample were acquired.

Statistical Analysis

Descriptive statistics included mean, median, standard deviation (SD), interquartile range. The Shapiro-Wilks test was used to check the normality of the distribution. Between-group differences were assessed by using Kruskall Wallis and Mann–Whitney U-test for continuous nonnormally distributed variables, as appropriate. The relationship between nonparametric variables were evaluated calculating the Spearman’s correlation coefficient (rho) and its significance.

Results

Patient Characteristics

Blood samples of patients hospitalized with laboratory-confirmed diagnosis of IM were collected during the acute phase. Mean disease duration at the time of blood collection was 16.8±11.9 days from onset of symptoms, median 12 days, range 5–55 days. Eightytwo percent of the patients was in the first two weeks from IM onset, when the major immunologic and virological changes during primary EBV infection occur [46]. None of the patients or healthy controls had recognized risk of MS. The main characteristics of the study participants are reported on Table 1.

Expression of MSRVenv Transcripts

The relative quantification of MSRVenv transcripts in PBMC of patients and controls was carried out by MSRVtype-specific real-time RT-PCR [45]. Normalysed data are reported on Figure 1: there is a statistically significant increase of MSRVenv transcripts in whole PBMC from IM patients with respect to healthy subjects (the median of IM patients is 6.9 fold higher than the one of healthy donors, p = 0.014).

Figure 1. MSRV-type mRNA expression by PBMC from IM patients and healthy donors (HD).

Figure 1

The amounts of MSRV-type HERV-Wenv transcripts were evaluated by discriminatory real time RT-PCR, and normalized by the 2−ΔCt method (see Methods for details). Data are expressed as medians (line), with maximum and minimum values (whiskers); boxes represent interquartile range of the samples. Statistical significance was evaluated by the Mann-Whitney U-test for comparison of two groups, and by the Kruskal-Wallis test for three or four groups. (A) Comparison of IM patients (N = 17) and all healthy donors (HD, N = 24). (B) Comparison of IM patients (N = 17) and HD donors stratified according to plasmatic anti-EBNA-1 IgG titers, as EBV-negative (EBV−, N = 9), <600 IU/ml (N = 7), and >600 IU/ml (N = 8). Kruskall-Wallis test gave p = 0.0005 for all four groups, and p = 0.014 for the three HD groups.

Since high titers of anti-EBNA antibodies have been associated with increased risk of MS [35], [40], the healthy donors were stratified according to their anti-EBNA-1 IgG titers, as uninfected (negative), or previously infected with low or high anti-EBNA-1 IgG titers (below or above 600 IU/ml of plasma, respectively). The data reported on Figure 1B indicate that the amounts of MSRVenv mRNA present in PBMC of healthy individuals are strictly related to those of anti-EBNA-1 IgG (p = 0.0005). However, the highest MSRVenv mRNA values are observed in the blood of IM patients, i.e. during the acute, highly symptomatic phase of the primary infection. In facts, the MSRVenv mRNA median value of IM patients is 194-fold higher that of uninfected persons; the values of persons with high and low anti-EBNA-1 IgG titers are 131- and 28-fold, respectively, the MSRVenv mRNA levels of uninfected persons, with high statistical significance.

Presence of the HERV-Wenv Protein on the Plasma Membrane

Due to the high percentage of identities between the HERV-Wenv genes, no antibody specific for a unique HERV-Wenv protein has been identified so far [13]. Therefore it cannot be discriminated whether an env protein is a MSRV-type env or syncytin-1, and data must be expressed as HERV-Wenv positivity only. Alive PBMC of four IM patients were analyzed by flow cytometry in comparison to four EBV-negative healthy individuals and four persons with past (latent) EBV infection and high anti-EBNA-1 IgG titers, with respect to the presence of HERV-Wenv protein on the outer surface of the plasma membrane. The analysis was limited to four individuals for each group, in order to compare only values collected in the same session, to avoid technical variations. The results are reported on Figure 2. As shown on Figure 2A, in whole PBMC the HERV-Wenv positivity of IM patients and of persons with past EBV infection is almost twice that of EBV-negative subjects. The HERV-Wenv protein, however, is not uniformly exposed by all the PBMC, but derives from an uneven expression in the various cell subsets. No statistical significance is reached in Figure 2A, since the main component of PBMC is the T cell compartment, that was previously shown to be totally negative for HERV-Wenv expression, both at the protein and at the RNA level [13], [47]; therefore it was not analysed specifically. However, no HERV-Wenv expression was detected on the plasma membrane of CD19−/CD16−/CD14− cells, that comprises the T cells (data not shown). As shown in Panels 2B–D, in uninfected individuals the median HERV-Wenv positivity of CD19+, CD16+ and CD14+ cells (B lymphocytes, NK cells and monocytes, respectively) is around 19, 10 and 17%, respectively. The env positivity of the CD19+ B cell compartment (Figure 2B) is more than doubled after EBV infection (IM patients: 43%, latently infected highly anti-EBNA-1 positive individuals: 56%, p = 0.043). As for the CD16+ NK cell subset (Figure 2C), there is a 4-fold increase in HERV-Wenv expression during IM (40%, p = 0.020), but a deep reduction in latently infected highly anti-EBNA-1 positive individuals: 3%). The CD14+ monocyte compartment (Figure 2D) showed the highest increases of HERV-Wenv expression: 5.4-fold increase during IM (mean positivity: 92%, p = 0.043) and 2.6-fold increase during highly anti-EBNA-1 positive latency (44%); also the difference between the latter two group reaches the statistical difference (p = 0.021).

Figure 2. Presence of HERV-Wenv protein on the plasma membrane of PBMC subpopulations from IM patients and controls.

Figure 2

Flow cytometry evaluation of alive PBMC from IM patients (IM) and healthy donors (HD), either with anti-EBNA-1 IgG titers >600 IU/ml or EBV− negative (EBV−). Data were evaluated as percentage of cells with HERV-Wenv-specific staining, as specified in Methods, and are expressed as medians (line), with maximum and minimum values (whiskers); boxes represent interquartile range of the samples. Statistical significance was evaluated by the Mann-Whitney U test for comparison of two groups. When not specified, differences were not significant. All samples (four for each group) were evaluated in the same day. (A) Comparison of HERV-W-specific staining of whole PBMC. (B), (C), (D) HERV-W-specific staining of PBMC subpopulations sorted by specific staining with anti-CD19, anti-CD16 and anti-CD14 antibodies, respectively.

Discussion

A history of IM and high anti-EBV titers are factors that increase the risk of MS [5], [7][8], [35][38], [40]. The mechanism by which EBV infection is linked to MS pathogenesis is still unknown [4], [30][31]. No studies support unequivocally a direct etiologic role of EBV or prove its preferential presence, expression or reactivation in MS patients with respect to controls to MS, and currently there is no consensus in establishing whether there is a presence of EBV-infected cells in the CNS of MS patients[30], [41][42]. Therefore, it remains to be determined whether EBV would continue to play a role after disease initiation.

On the other hand, potentially neuropathogenic endogenous retroviruses of the W family are expressed in the blood and in the brain of MS patients in close parallelism with disease progression [23], [26][27]. Recently we have found a link between EBV and HERV-W, since we showed that the binding in vitro to the plasmamembrane of the EBVgp350 major envelope protein is able to activate the expression of the potentially immunopathogenic and neuropathogenic HERV-Ws in in cells that may be involved in MS pathogenesis (B cells, monocytes, macrophages and astrocytes) [13]. Hence, we made the dual virus hypothesis of a possible involvement of both viruses in MS pathogenesis, with the possibility for MSRV of a direct role of effector of pathogenicity, and for EBV of an initial trigger of future MS, years later.

In the present report, we provide for the first time data showing that activation of HERV-W/MSRV occurs in vivo in patients affected by IM. With respect to EBV-negative healthy controls, the increase of MSRV-type env mRNAs in IM patients is almost 2 Log10 (p = 0.000006, Figure 1B). More interestingly, when healthy controls are stratified with respect to previous EBV infection (high and low, or no anti-EBNA-1 IgG titers), a close correlation occurs for MSRV mRNA activation (Sperman rho = 0.60, p<0.05).

These novel findings are reinforced by the flow cytometry data on the activation also of the HERV-Wenv protein product, reported in Figure 2 as the percentage of PBMC expressing the HERV-Wenv protein on the membrane. The HERV-W activation is not uniform in all cell subtypes nor in acute disease and past infection, i.e. the latency state (Figures 2B–D). With respect to uninfected healthy individuals, IM patients showed a doubling of HERV-W positivity of B cells, and 4-fold and 5.5-fold increases in NK cells and monocytes, respectively. In past infection with high anti-EBNA-1 IgG titers, B cells continue to express similar HERV-Wenv levels, while the effect is reduced on monocytes (2.6-fold higher than in uninfected individuals), and NK cells became almost HERV-Wenv-negative. We have no explanation for the latter finding. On the whole, the data indicate that post-transcriptional regulation of HERV-Wenv occurs differently in specific cell subsets, in keeping with our previous observations [13].

Thus in our hands both ascertained links between EBV and risk of future MS (IM and high anti-EBNA-1 titers) do stimulate the expression of HERV-W/MSRV.

As for the mechanisms of HERV-W activation, we showed recently that in vitro EBV activates HERV-W/MSRV/syncytin-1, in cells from blood and brain, that might be involved in the pathogenesis of MS [13]. There is no need of EBV entry or expression, since the effect was seen also after exposure to the EBVgp350 major envelope protein. In EBVgp350-treated PBMC, MSRVenv and syncytin-1 transcription was activated in B cells and monocytes, but not in T cells (that do not express HERV-W genes), nor in the highly positive NK cells. The latter cells (as the monocytes and the B, but not the T cells) were activated by proinflammatory cytokines, likely with involvement of the protein kinase C signalling enzyme [13]. The effect of EBVgp350 was abolished by silencing NF-κB, a transcription factor that is implicated in the production, by activated astrocytes, of pro-inflammatory cytokines: this, in turn, induces further release of cytokines, that contribute in vivo to exacerbating the neurodegenerative process [48], and that in vitro stimulate HERV-Wenv expression in astrocytes (unpublished data) and PBMC [13], [49]. It is likely that in vivo, during EBV replication in IM patients, the EBVgp350 protein could activate HERV-W/MSRV expression, as we showed in vitro [13]. In addition, a cytokine-mediated mechanism could cooperate with EBV for HERV-W activation. As known, several cytokines are produced during acute IM. In a prospective study of late primary EBV infections, Balfour et al. [46], detected elevated levels of eight cytokines that might contribute to IM pathogenesis, among which interferon, TNFα, and IL-6 the latter was correlated significantly with IM severity and high EBV viremia. Of note, IL-6 is a major cytokine in the central nervous system, that has been related to many brain diseases, among which MS [50]. The above cytokines do increase HERV-W expression/release in vitro [13], [49], and are increased in vivo during MS exacerbations [50].

Of particular interest is the effect of EBV activation of HERV-W/MSRV in the vast majority of monocytes during the acute infection (Figure 2D, IM), for possible involvements in MS pathogenesis. In vitro, these cells were shown to be the most responsive to EBVgp350, reaching, after exposure to the EBV protein, HERV-W levels higher than those detected in B cells, particularly after cell differentiation into macrophages [13]. In MS and other neurological diseases, significant infiltration of immune cells from the periphery into the CNS (and activation of microglia) is largely observed, and it accounts for the increased representation of macrophages within the CNS; the functions of activated macrophages (and microglia) within the CNS are complex, as they are implicated in both demyelination and remyelination of MS lesions, as observed in animal models [51]. Increased blood-brain barrier permeability is a characteristic hallmark of the CNS alterations leading to MS, suggesting a causal relationship between inflammatory cell recruitment into the CNS and the blood–brain barrier dysfunction [52]. Activated monocytes easily pass across the endothelia, and could carry the HERV-W across the blood-brain barrier, entering the brain, where the HERV-Wenv protein could contribute to the pathogenicity, inducing inflammation, demyelination and axonal damage [6], [10][13]. Thus, the HERV-W expression (and release) by monocyte-macrophages can reasonably account for the bulk of expression (and effects) of these elements. Also the high levels of HERV-W expression in B cells throughout the IM and the post-infection stages (Figure 2B), as well as in MS patients [13] might contribute to the process, since B cells have been proposed to be relevant to the etiology and pathogenesis of MS [53], and MS therapies targeting B cells seem effective against the relapsing-remitting forms [54].

As for the post-infection stages of EBV latency, it is well known that during latency, EBV expresses a limited repertoire of proteins, non-coding RNAs and microRNAs [54]. The virus remains immunologically silent in small numbers of memory B cells, which traffic into inflamed tissues, and are tightly controlled by invariant natural killer T cells [55] and by cytotoxic T lymphocyte cells to prevent lymphoproliferation [56]. Since HERV-W is expressed by a high proportion of B cells (Figure 2B), it is likely that reciprocal interactions occur within these cells during latency, that could play an additional role to the indirect mechanism proposed by Meier and coworkers, by which latent EBV infection could contribute to (neuro)inflammation, through the expression of small non-coding RNAs that bind to Toll-like receptor 3 and potentially other intracellular receptors [56]. Notably, EBNA-1 is the only viral protein commonly expressed in latency programs that allow the persistence of EBV in B-cells during activation and differentiation and in a variety of other cells types, and this protein has been shown to reprogram cellular transcription and signaling [58][59]. Moreover, its binding to several cellular promoters has been documented [60]. Therefore a contribute of EBNA-1 to HERV-W activation in these cells could be hypothesized, either by direct HERV-W activation in circulating B cells, or indirectly, through induction of HERV-W-activating stimuli. A major issue of the present paper is not only the finding that HERV-W is activated during IM, but also that it is observed in a subset of healthy, latently-infected individuals (those with antiEBNA-1 titers >600). A long prospective study showed that elevations of antibody titers to the EBNA complex and EBNA-1 among MS cases first occurred between 15 to 20 years before the onset of symptoms and persisted thereafter [57]. We show here that high HERV-W expression occurs in healthy persons with high anti-EBNA Ig titers, thus concomitantly to what has been considered among the early events in the pathological process that leads to MS, perhaps in individuals presenting a predisposing genetic background.

In conclusion, our data indicate that the two main links of EBV to MS (past IM and high anti-EBNA-1 IgG titers) are associated to the activation of potentially neuropathogenic HERV-W/MSRV, both at the mRNA and the protein levels. These novel findings reinforce our hypothesis of a possible involvement of both viruses in MS pathogenesis [13], with the possibility for MSRV of a direct role of effector of pathogenicity, and for EBV of an initial trigger of future MS, years later, and indicate the activation of HERV-W/MSRV as the possible missing link between EBV and MS. These findings may open new avenues of intervention against MS.

Acknowledgments

The authors wish to thank all patients and volunteers whose participation enabled this study.

Funding Statement

This work was supported in part by Fondazione Italiana Sclerosi Multipla onlus grant 2010/R/16 (AD), by Regione Sardegna (grant 2010, AD), by Fondazione Banco di Sardegna (grant 2011, CS, and a research fellowship 2011 to support GM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. McQualter JL, Bernard CC (2007) Multiple sclerosis: a battle between destruction and repair. J Neurochem 100: 295–306. [DOI] [PubMed] [Google Scholar]
  • 2. Kakalacheva K, Münz C, Lünemann JD (2011) Viral triggers of multiple sclerosis. Biochim Biophys Acta 1812: 132–140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Christensen T (2010) HERVs in neuropathogenesis. J Neuroimmune Pharmacol 5: 326–335. [DOI] [PubMed] [Google Scholar]
  • 4. Cusick MF, Libbey JE, Fujinami RS (2013) Multiple sclerosis: autoimmunity and viruses. Curr Opin Rheumatol 25: 496–501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Ascherio A, Munger KL (2010) Epstein-Barr virus infection and multiple sclerosis: a review J Neuroimmune Pharmacol. 5: 271–277. [DOI] [PubMed] [Google Scholar]
  • 6. Almohmeed YH, Avenell A, Aucott L, Vickers MA (2013) Systematic Review and Meta-Analysis of the Sero-Epidemiological Association between Epstein Barr Virus and Multiple Sclerosis. PLoS One 8 e61110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Santiago O, Gutierrez J, Sorlozano A, De Dios Luna J, Villegas E, et al. (2010) Relation between Epstein-Barr virus and multiple sclerosis: analytic study of scientific production. Eur. J Clin Microbiol Infect Dis 29: 857–866. [DOI] [PubMed] [Google Scholar]
  • 8. Handel AE, Williamson AJ, Disanto G, Handunnetthi L, Giovannoni G, et al. (2010) An updated meta-analysis of risk of multiple sclerosis following infectious mononucleosis. PLoS One 5: e12496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Dolei A (2006) Endogenous retroviruses and human disease. Exp Rev Clin Immunol 2: 149–167. [DOI] [PubMed] [Google Scholar]
  • 10. Dolei A, Perron H (2009) The multiple sclerosis-associated retrovirus and its HERV-W endogenous family: a biological interface between virology, genetics, and immunology in human physiology and disease. J Neurovirol 15: 4–13. [DOI] [PubMed] [Google Scholar]
  • 11. Perron H, Lang A (2010) The Human Endogenous Retrovirus Link between Genes and Environment in Multiple Sclerosis and in Multifactorial Diseases Associating Neuroinflammation. Clinic Rev Allerg Immunol 39: 51–61. [DOI] [PubMed] [Google Scholar]
  • 12. Antony JM, Deslauriers AM, Bhat RK, Ellestad KK, Power C (2011) Human endogenous retroviruses and multiple sclerosis: innocent bystanders or disease determinants? Biochem Biophys Acta 2: 162–176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Mameli G, Poddighe L, Mei A, Uleri E, Sotgiu S, et al. (2012) Expression and activation by Epstein Barr virus of human endogenous retroviruses-W in blood cells and astrocytes: inference for multiple sclerosis. PLoS One 7: e44991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Perron H, Garson JA, Bedin F, Beseme F, Paranhos-Baccala G, et al. (1997) The Collaborative Research Group on Multiple Sclerosis: Molecular identification of a novel retrovirus repeatedly isolated from patients with multiple sclerosis. Proc Natl Acad Sci USA 94: 7583–7588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Antony JM, Van Marle G, Opii W, Butterfield DA, Mallet F, et al. (2004) Human endogenous retrovirus glycoprotein-mediated induction of redox reactants causes oligodendrocyte death and demyelination. Nat Neurosci 7: 1088–1095. [DOI] [PubMed] [Google Scholar]
  • 16. Mi S, Lee X, Li X, Veldman GM, Finnerty H, et al. (2000) Syncytin is a captive retroviral envelope protein involved in human placental morphogenesis. Nature 403: 785–789. [DOI] [PubMed] [Google Scholar]
  • 17. Firouzi R, Rolland A, Michel M, Jouvin-Marche E, Hauw JJ, et al. (2003) Multiple sclerosis-associated retrovirus particles cause T lymphocyte-dependent death with brain hemorrhage in humanized SCID mice model. J Neurovirol 9: 79–93. [DOI] [PubMed] [Google Scholar]
  • 18. Mameli G, Astone V, Arru G, Marconi S, Lovato L, et al. (2007) Brains and peripheral blood mononuclear cells of multiple sclerosis (MS) patients hyperexpress MS-associated retrovirus/HERV-W endogenous retrovirus, but not Human herpesvirus 6. J Gen Virol 88: 264–274. [DOI] [PubMed] [Google Scholar]
  • 19. Bhat RK, Ellestad KK, Wheatley BM, Warren R, Holt RA, et al. (2001) Age- and disease-dependent HERV-W envelope allelic variation in brain: association with neuroimmune gene expression. PLoS One 6: e19176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Perron H, Germi R, Bernard C, Garcia-Montojo M, Deluen C, et al. (2012) Human endogenous retrovirus type W envelope expression in blood and brain cells provides new insights into multiple sclerosis disease. Mult Scler 18: 1721–1736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Perron H, Lazarini F, Ruprecht K, Pechoux-Longin C, Seilhean D, et al. (2005) Human endogenous retrovirus (HERV)-W ENV and GAG proteins: physiological expression in human brain and pathophysiological modulation in multiple sclerosis lesions. J Neurovirol 11: 23–33. [DOI] [PubMed] [Google Scholar]
  • 22. Arru G, Mameli G, Astone V, Serra C, Huang YM, et al. (2007) Multiple sclerosis and HERV-W/MSRV: a multicentric study. Int J Biomed Sci 3: 292–297. [PMC free article] [PubMed] [Google Scholar]
  • 23. Dolei A, Serra C, Mameli G, Pugliatti M, Sechi S, et al. (2002) Multiple sclerosis-associated retrovirus (MSRV) in Sardinian MS patients. Neurology 58: 471–473. [DOI] [PubMed] [Google Scholar]
  • 24. Sotgiu S, Serra C, Mameli G, Pugliatti M, Rosati G, et al. (2002) Multiple sclerosis (MS)-associated retrovirus and MS prognosis: an observational study. Neurology 59: 1071–1073. [DOI] [PubMed] [Google Scholar]
  • 25. Sotgiu S, Arru G, Mameli G, Serra C, Pugliatti M, et al. (2006) MSRV in early multiple sclerosis: a six-year follow-up of a Sardinian cohort. Mult Scler 12: 698–703. [DOI] [PubMed] [Google Scholar]
  • 26. Sotgiu S, Mameli G, Serra C, Zarbo IR, Arru G, et al. (2010) Multiple sclerosis-associated retrovirus and progressive disability of multiple sclerosis. Mult Scler 16: 1248–1251. [DOI] [PubMed] [Google Scholar]
  • 27. Mameli G, Serra C, Astone V, Castellazzi M, Poddighe L, et al. (2008) Inhibition of multiple-sclerosis-associated retrovirus as biomarker of interferon therapy. J Neurovirol 14: 73–77. [DOI] [PubMed] [Google Scholar]
  • 28. Sotgiu S, Arru G, Söderström M, Mameli G, Serra C, et al. (2006) MSRV and optic neuritis. Mult Scler 12: 357–359. [DOI] [PubMed] [Google Scholar]
  • 29. Petersen T, Møller-Larsen A, Thiel S, Brudek T, Hansen TK, et al. (2009) Effects of interferon-beta therapy on innate and adaptive immune responses to the human endogenous retroviruses HERV-H and HERV-W, cytokine production, and the lectin complement activation pathway in multiple sclerosis. J Neuroimmunol 215: 108–116. [DOI] [PubMed] [Google Scholar]
  • 30. Pakpoor J, Giovannoni G, Ramagopalan SV (2013) Epstein-Barr virus and multiple sclerosis: association or causation? Expert Rev Neurother 13: 287–297. [DOI] [PubMed] [Google Scholar]
  • 31. Tselis A (2012) Epstein-Barr virus cause of multiple sclerosis. Curr Opin Rheumatol 24: 424–428. [DOI] [PubMed] [Google Scholar]
  • 32. Ascherio A, Munger KL (2007) Environmental risk factors for multiple sclerosis. Part I: The role of infection. Ann Neurol 61: 288–299. [DOI] [PubMed] [Google Scholar]
  • 33. Levin LI, Munger KL, O’Reilly EJ, Falk KI, Ascherio A (2010) Primary infection with the Epstein–Barr virus and risk of multiple sclerosis. Ann. Neurol 67: 824–830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Pakpoor J, Disanto G, Gerber JE, Dobson R, Meier UC, et al. (2013) The risk of developing multiple sclerosis in individuals seronegative for Epstein-Barr virus: a meta-analysis. Mult Scler 19: 162–166. [DOI] [PubMed] [Google Scholar]
  • 35. Munger K, Levin L, O’Reilly E, Falk K, Ascherio A (2011) Anti-Epstein-Barr virus antibodies as serological markers of multiple sclerosis: a prospective study among United States military personnel. Mult Scler 17: 1185–1193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Goldacre MJ, Wotton CJ, Seagroatt V, Yeates D (2004) Multiple sclerosis after infectious mononucleosis: record linkage study. J Epidemiol Community Health 58: 1032–1035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Lucas RM, Hughes AM, Lay ML, Ponsonby AL, Dwyer DE, et al. (2011) Epstein-Barr virus and multiple sclerosis. J Neurol Neurosurg Psychiatry 82: 1142–1148. [DOI] [PubMed] [Google Scholar]
  • 38. Nielsen TR, Rostgaard K, Askling J, Steffensen R, Oturai A, et al. (2009) Effects of infectious mononucleosis and HLA-DRB1*15 in multiple sclerosis. Mult Scler 15: 431–436. [DOI] [PubMed] [Google Scholar]
  • 39. Banwell B, Krupp L, Kennedy J, Tellier R, Tenembaum S, et al. (2007) Clinical features and viral serologies in children with multiple sclerosis: a multinational observational study. Lancet Neurol 9: 773–781. [DOI] [PubMed] [Google Scholar]
  • 40. Lünemann JD, Tintoré M, Messmer B, Strowig T, Rovira A, et al. (2010) Elevated Epstein-Barr virus-encoded nuclear antigen-1 immune responses predict conversion to multiple sclerosis. Ann Neurol 67: 159–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Owens GP, Bennett JL (2012) Trigger, pathogen, or bystander: the complex nexus linking Epstein- Barr virus and multiple sclerosis. Mult Scler 18: 1204–1208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Lassmann H, Niedobitek G, Aloisi F, Middeldorp JM (2011) NeuroproMiSe EBV Working Group (2011) Epstein-Barr virus in the multiple sclerosis brain: a controversial issue–report on a focused workshop held in the Centre for Brain Research of the Medical University of Vienna, Austria. Brain 134: 2772–2786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Borkosky SS, Whitley C, Kopp-Schneider A, zur Hausen H, de Villiers EM (2012) Epstein-Barr virus stimulates torque teno virus replication: a possible relationship to multiple sclerosis. PLoS One 7: e32160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Komijani M, Bouzari M, Etemadifar M, Zarkesh-Esfahani H, Shaykh-Baygloo N, et al. (2011) Torque teno mini virus infection and multiple sclerosis. Int J Neurosci 121: 437–441. [DOI] [PubMed] [Google Scholar]
  • 45. Mameli G, Poddighe L, Astone V, Delogu G, Arru G, et al. (2009) Novel reliable real-time PCR for differential detection of MSRVenv and syncytin-1 in RNA and DNA from patients with multiple sclerosis. J Virol Methods 161: 98–106. [DOI] [PubMed] [Google Scholar]
  • 46. Balfour HH Jr, Odumade OA, Schmeling DO, Mullan BD, Ed JA, et al. (2013) Behavioral, virologic, and immunologic factors associated with acquisition and severity of primary Epstein-Barr virus infection in university students. J Infect Dis 207: 80–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Brudek T, Christensen T, Aagaard L, Petersen T, Hansen HJ, et al. (2009) B cells and monocytes from patients with active multiple sclerosis exhibit increased surface expression of both HERV-H Env and HERV-W Env, accompanied by increased seroreactivity. Retrovirology 6: 104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Kim DY, Hong GU, Ro JY (2011) Signal pathways in astrocytes activated by cross-talk between of astrocytes and mast cells through CD40-CD40L. J Neuroinflammation 8: 25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Serra C, Mameli G, Arru G, Sotgiu S, Rosati G, et al. (2003) In vitro modulation of the multiple sclerosis (MS)-associated retrovirus (MSRV) by cytokines: implications for MS pathogenesis. J NeuroVirol 9: 637–643. [DOI] [PubMed] [Google Scholar]
  • 50. Erta M, Quintana A, Hidalgo J (2012) Interleukin-6, a major cytokine in the central nervous system. Int J Biol Sci 8: 1254–1266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Rawji KS, Yong VW (2013) The benefits and detriments of macrophages/microglia in models of multiple sclerosis. Clin Dev Immunol. 2013: 948976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Pfeiffer F, Schäfer J, Lyck R, Makrides V, Brunner S, et al. (2011) Claudin-1 induced sealing of blood-brain barrier tight junctions ameliorates chronic experimental autoimmune encephalomyelitis. Acta Neuropathol 122: 601–614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Disanto G, Morahan JM, Barnett MH, Giovannoni G, Ramagopalan SV (2012) The evidence for a role of B cells in multiple sclerosis. Neurology 78: 823–832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Castillo-Trivino T, Braithwaite D, Bacchetti P, Waubant E (2013) Rituximab in relapsing and progressive forms of multiple sclerosis: a systematic review. PLoS One 8: e66308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Chung BK, Tsai K, Allan LL, Zheng DJ, Nie JC, et al.. (2013) Innate immune control of EBV-infected B cells by invariant natural killer T cells. Blood Aug 23. [Epub ahead of print] [DOI] [PubMed]
  • 56. Meier UC, Giovannoni G, Tzartos JS, Khan G (2012) Translational Mini-Review Series on B cell subsets in disease. B cells in multiple sclerosis: drivers of disease pathogenesis and Trojan horse for Epstein-Barr virus entry to the central nervous system? Clin Exp Immunol 167: 1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Coppotelli G, Mughal N, Callegari S, Sompallae R, Caja L, et al. (2013) The Epstein-Barr virus nuclear antigen-1 reprograms transcription by mimicry of high mobility group A proteins. Nucleic Acids Res 41: 2950–2962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Wood VH, O’Neil JD, Wei W, Stewart SE, Dawson CW, et al. (2007) Epstein-Barr virus-encoded EBNA1 regulates cellular gene transcription and modulates the STAT1 and TGFbeta signaling pathways. Oncogene 26: 4135–4147. [DOI] [PubMed] [Google Scholar]
  • 59. Dresang LR, Vereide DT, Sugden B (2009) Identifying sites bound by Epstein-Barr virus nuclear antigen 1 (EBNA1) in the human genome: defining a position-weighted matrix to predict sites bound by EBNA1 in viral genomes. J Virol 83: 2930–2940. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. DeLorenze GN, Munger KL, Lennette ET, Orentreich N, Vogelman JH, et al. (2006) Epstein-Barr virus and multiple sclerosis: evidence of association from a prospective study with long-term follow-up. Arch Neurol 63: 839–844. [DOI] [PubMed] [Google Scholar]

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