Literature DB >> 26770996

Humoral response to EBV is associated with cortical atrophy and lesion burden in patients with MS.

Robert Zivadinov1, Nicole Cerza1, Jesper Hagemeier1, Ellen Carl1, Darlene Badgett1, Deepa P Ramasamy1, Bianca Weinstock-Guttman1, Murali Ramanathan1.   

Abstract

OBJECTIVE: Because dysregulated Epstein-Barr virus (EBV)-infected B cells may induce meningeal inflammation, which contributes to cortical pathology in multiple sclerosis (MS), we investigated associations between antibody responses to EBV and development of cortical pathology in MS.
METHODS: We included 539 patients with MS (369 with relapsing-remitting MS, 135 with secondary progressive MS, and 35 with primary progressive MS), 66 patients with clinically isolated syndrome (CIS), 63 patients with other neurologic diseases (OND), and 178 age- and sex-matched healthy controls (HC). All participants were scanned on 3T MRI. Serum samples were analyzed for IgG antibodies against EBV viral capsid antigen (VCA) and EBV nuclear antigen-1 (EBNA-1), and their quartiles were determined on the whole study sample. Differences between the study groups were assessed using analysis of covariance adjusted for multiple comparisons.
RESULTS: More than 30% of patients with MS and CIS presented with the highest quartile of anti-EBV-VCA and -EBNA-1 status compared to ≤10% of HC (p < 0.001). The figures were 9 (14.3%) and 7 (12.3%) for patients with OND. Patients with MS with the highest quartile of anti-EBV-VCA showed significantly increased T2 lesion volume (p = 0.001), T1 lesion number (p = 0.002), and T1 lesion volume (p = 0.04) and decreased gray matter (p = 0.041) and cortical (p = 0.043) volumes compared to patients with MS with lower quartiles. No significant differences of MRI outcomes in patients with CIS, patients with OND, and HC with lower or highest quartiles of anti-EBV-VCA and -EBNA-1 were detected.
CONCLUSIONS: Humoral response to anti-EBV-VCA and -EBNA-1 is associated with more advanced cortical atrophy, accumulation of chronic T1 black holes, and focal white matter lesions in patients with MS.

Entities:  

Year:  2016        PMID: 26770996      PMCID: PMC4708926          DOI: 10.1212/NXI.0000000000000190

Source DB:  PubMed          Journal:  Neurol Neuroimmunol Neuroinflamm        ISSN: 2332-7812


One of the scientific challenges of investigating environmental risk factors in patients with multiple sclerosis (MS) is that they represent common exposures in the general population. For example, Epstein-Barr svirus (EBV) is a common environmental exposure and >90% of the world's population is seropositive.[1] In patients with clinically isolated syndrome (CIS), anti-EBV nuclear antigen-1 (EBNA-1) antibody levels are associated with progression to clinically definite MS and with the formation of new inflammatory lesions.[2-4] Cross-sectional and longitudinal studies in patients with MS suggest that exposure to EBV may increase the likelihood of disease progression, as evidenced by clinical and MRI outcomes of disease severity.[2-11] In the last decade, it has been established that cortical gray matter (GM) pathology is strongly associated with the presence of cortical subpial lesions,[12] meningeal inflammation in the form of ectopic lymphoid-like structures,[13] and retrograde wallerian degeneration of neurons.[14] Clusters of meningeal inflammatory cells may act to sustain the intrathecal immune response and engender subpial cortical lesions.[15,16] It has been hypothesized that dysregulated EBV-infected B cells[17] may induce meningeal inflammation that could contribute to GM pathology. Our previous work suggested that higher levels of EBV antibodies are associated with increased MRI lesion activity and greater brain atrophy, particularly of the GM.[2,7-9] In this large cohort study, we aimed to examine the association of cortical pathology and IgG anti-EBV antibodies, as measured by cortical atrophy. We focused our attention on cortex because subpial cortical lesions and meningeal inflammation are emerging from pathology and imaging studies as the most important pathologic substrate for cognitive and physical disease progression in MS[12,15,18,19] and EBV-infected B cells may play role in its pathogenesis.[17,20]

METHODS

Study population.

This study used baseline data from an ongoing prospective study of cardiovascular, environmental, and genetic risk factors in MS that enrolled more than 1,000 patients with CIS, MS, and other neurologic diseases (OND) and healthy controls (HC).[21,22] The inclusion criteria for this substudy of the association of EBV and cytomegalovirus (CMV) and MRI outcomes were (1) having a valid serum sample for anti-EBV or anti-CMV antibody status determination, (2) having CIS, MS, or OND or being an HC, (3) being between 18 and 75 years old, and (4) having an MRI performed within 30 days of physical/neurologic/serum sample examination with the standardized study protocol. Exclusion criteria were presence of relapse and steroid treatment in the 30 days preceding study entry for patients with CIS and MS, preexisting medical conditions known to be associated with brain pathology (cerebrovascular disease, positive history of alcohol abuse), and pregnancy. All participants had a physical and neurologic examination. HC needed to meet the health screen MRI requirements and had to have a normal neurologic examination. They were recruited from hospital personnel and respondents to a local advertisement or were spouses of the patients with MS. Race/ethnicity was determined according to US Census Bureau definitions.

Standard protocol approvals, registrations, and patient consents.

The study protocol was approved by the local institutional review board and all participants gave their written informed consent.

Determination of anti-EBV and anti-CMV antibodies.

The technicians conducting analyses of anti-EBV and anti-CMV antibodies were blinded to the disease and clinical group status. ELISA kits from Diamedix Corporation (Miami, FL) were used to quantify anti-EBV viral capsid antigen (VCA), EBNA-1 IgG, and anti-CMV antibodies, as previously described.[2,7]

MRI acquisition and analysis.

All participants were examined on a 3T GE Signa Excite HD 12.0 Twin Speed 8-channel scanner (General Electric, Milwaukee, WI). MRI sequences included the axial dual fast spin-echo (SE) T2/proton density–weighted image, 3D spoiled gradient-recalled T1-weighted image, SE T1-weighted image pre- and postcontrast, and fluid-attenuated inversion recovery (FLAIR) scans. Pulse sequence characteristics for 3T MRI were as follows. All scans were acquired with a 256 × 256 matrix and a 25.6-cm field of view (FOV) for an in-plane resolution of 1 × 1 mm2 with a phase FOV of 75% and one average. Sequence-specific parameters were as follows. For the T2/proton density–weighted image: 3-mm-thick slices with no gap, TE1 (echo time)/TE2/TR (repetition time) = 12/95/3,000 milliseconds, echo train length = 14, flip angle = 90°; for the FLAIR scans: 3-mm-thick slices with no gap, TE/TI (inversion time)/TR = 120/2,100/8,500 milliseconds, flip angle = 90°; for 3D T1-weighted image: 1-mm-thick slices with no gap, TE/TI/TR = 2.8/900/5.9 milliseconds, flip angle = 10°; and for SE T1-weighted image: 3-mm-thick slices with no gap, TE/TR = 16/600 milliseconds, flip angle = 90°. The SE T1-weighted image sequence was obtained after injection of a single-dose IV bolus (0.1 mMol/kg gadolinium-diethylenetriaminepentacetate) 5 minutes after administration of contrast agent only in patients with MS and CIS. MRI analysts were blinded to the participants’ physical and neurologic condition. The MRI measures included in the analysis were contrast-enhancing (CE) T1 and T2 lesion number and lesion volumes (LVs), assessed by a semi-automated edge detection contouring/thresholding technique,[23] and measures of brain atrophy, including normalized brain volume (NBV), normalized GM volume (NGMV), normalized cortical volume (NCV), normalized white matter (WM) volume (NWMV), and normalized lateral ventricle volume (NLVV),[23] assessed by the SIENAX 2.6 cross-sectional software tool.[24]

Statistical analysis.

Statistical analysis was performed using SPSS version 21.0 (IBM, Armonk, NY). The data were investigated separately by disease group (HC, CIS, MS, and OND) and by MS disease subtype (relapsing-remitting MS [RRMS], secondary progressive MS [SPMS], and primary progressive MS [PPMS]). The analyses were focused on MRI associations with anti-EBV antibody levels rather than antibody positivity, because the percentage of participants positive for anti-EBV-VCA and anti-EBV-EBNA-1 antibodies was very high (>99%) because of the ubiquity of exposure to EBV. Given that relative concentrations of the anti-VCA and anti-EBNA-1 antibodies are not normally distributed, these were categorized into lower and the highest quartiles based on the whole study sample regardless of clinical group, as previously reported.[2,7] We also performed a Pearson correlation analysis between anti-EBV-VCA, anti-EBV-EBNA-1, and anti-CMV antibodies and MRI outcomes. Differences in the categorical variables between the groups were analyzed using the χ2 test. An analysis of variance was used to analyze the differences in continuous variables between the groups. The differences in ordinal variables between the groups were assessed using nonparametric statistics. We used analysis of covariance (ANCOVA), adjusted for age, sex, and treatment status, to investigate MRI differences between anti-EBV-VCA and anti-VCA-EBNA-1 highest and lower quartiles and anti-CMV positive and negative status groups. Given the high colinearity between age and disease duration, the latter was not used as a covariate. The association analyses between anti-EBV and anti-CMV antibodies and MRI outcomes were corrected for multiple testing using the Benjamini-Hochberg correction.[25] Nominal p values <0.05 were regarded as significant, using 2-tailed testing.

RESULTS

Demographic and clinical characteristics of the study groups.

Demographic and clinical characteristics of the study groups are shown in table 1. A total of 846 consecutive participants who fulfilled inclusion and exclusion criteria entered this substudy of EBV and CMV and MRI outcomes in MS. The study population consisted of 178 HC, 539 patients with MS, 66 patients with CIS, and 63 patients with OND (25 with neurodegenerative, 18 with autoimmune, 10 with vascular, and 10 with neuromuscular origin). Patients with MS, HC, and patients with OND were age- and sex-matched, whereas patients with CIS were significantly younger, had shorter disease duration, and had a lower level of disability, as expected (table 1 and table e-1 at Neurology.org/nn).
Table 1

Demographic and clinical characteristics of the study groups

Demographic and clinical characteristics of the study groups Demographic and clinical characteristics of the patients with MS by subtype are shown in table 2. There were 368 patients with RRMS, 135 patients with SPMS, and 35 patients with PPMS in the study. As expected, patients with SPMS and PPMS were significantly older, had longer disease duration, and had a higher level of disability than those with RRMS.
Table 2

Demographic and clinical characteristics of the patients with MS

Demographic and clinical characteristics of the patients with MS Eighteen (10.1%) HC, 7 (12.3%) patients with OND, 68 (31.2%) patients with MS, and 22 (33.3%) patients with CIS were grouped into the highest quartile of anti-EBV-VCA antibodies; the corresponding numbers for anti-EBV-EBNA-1 antibodies were 13 (7.3%), 9 (14.3%), 182 (33.8%), and 19 (28.8%), respectively (table 1 and table e-1). The mean titer of anti-EBV-VCA antibodies was significantly greater in patients with MS and CIS than in HC (table 1, p < 0.001), and there was a trend for greater mean titer of anti-EBV-EBNA-1 antibodies in patients with MS and CIS (table 1, p = 0.068). Frequency of the highest quartile status group of anti-EBV-VCA antibodies was similarly distributed across all MS subtypes. In contrast, more patients with RRMS (36.3%) than those with SPMS (22.2%) and PPMS (28.6%) were found in the highest quartile group of anti-EBV-EBNA-1 antibodies (p = 0.001). No significant differences in mean titer of anti-EBV-VCA and -EBNA-1 antibodies were detected between different MS subtypes. No significant differences between patients with MS and CIS and HC (table 1) or between different OND subtypes (table e-1) were found for anti-CMV antibody positivity or mean titer.

MRI differences according to the anti-EBV-VCA antibodies.

Table 3 and figure 1 show group differences of MRI measures between the anti-EBV-VCA highest and lower quartiles across the study groups. Among patients with MS, increased T2 LV (p = 0.001), T1 lesion number (p = 0.002) and LV (p = 0.04) and decreased NGMV (p = 0.041) and NCV (p = 0.043) were observed in the highest quartile status group. There were no differences between the anti-EBV-VCA highest and lower quartile status groups and MRI outcomes in the HC, OND, or CIS study groups. In Pearson correlation analysis performed in patients with MS, there was a significant association between the greater anti-EBV-VCA titer and increased T1 lesion number (r = 0.12, p = 0.008) and decreased NGMV (r = 0.11, p = 0.014) and NCV (r = 0.1, p = 0.018). No associations between the anti-EBV-VCA titers and MRI outcomes were detected in HC, OND, or CIS study groups.
Table 3

Differences in MRI measures, according to the anti-EBV-VCA IgG quartile antibody status, in the study groups

Figure 1

Anti-Epstein-Barr virus nuclear antigen-1 IgG quartile antibody status differences in MRI measures

Data are presented as mean and SEM. All lesion and brain volumes are expressed in cubic milliliters. The data are displayed for healthy controls (HC) and patients with multiple sclerosis (MS) and clinically isolated syndrome (CIS) on the left and for patients with relapsing-remitting MS (RR), secondary progressive MS (SP), and primary progressive MS (PP) on the right for T2 lesion volume (LV) (A, B), T1 LV (C, D), normalized gray matter volume (NGMV) (E, F), and normalized cortical volume (NCV) (G, H). H = highest quartile; L = lower quartile. *p < 0.05; **p < 0.01.

Differences in MRI measures, according to the anti-EBV-VCA IgG quartile antibody status, in the study groups

Anti-Epstein-Barr virus nuclear antigen-1 IgG quartile antibody status differences in MRI measures

Data are presented as mean and SEM. All lesion and brain volumes are expressed in cubic milliliters. The data are displayed for healthy controls (HC) and patients with multiple sclerosis (MS) and clinically isolated syndrome (CIS) on the left and for patients with relapsing-remitting MS (RR), secondary progressive MS (SP), and primary progressive MS (PP) on the right for T2 lesion volume (LV) (A, B), T1 LV (C, D), normalized gray matter volume (NGMV) (E, F), and normalized cortical volume (NCV) (G, H). H = highest quartile; L = lower quartile. *p < 0.05; **p < 0.01. Group differences of MRI outcomes between anti-EBV-VCA highest and lower quartile status groups within RRMS, SPMS, and PPMS subtypes are shown in table 4 and figure 1. An increased T2 LV (p = 0.018) and T1 lesion number (p = 0.039) and decreased NGMV (p = 0.01) and NCV (p = 0.025) were detected in patients with RRMS in the highest quartile status group. Patients with SPMS showed increased T2 LV (p = 0.004), T1 lesion number (p = 0.017), and LV (p = 0.033). No anti-EBV-VCA highest and lower quartile status group MRI outcome differences were found for the patients with PPMS. In Pearson correlation analysis performed in patients with RRMS, there was a significant association between the greater anti-EBV-VCA titer and decreased NGMV (r = 0.13, p = 0.019) and NCV (r = 0.12, p = 0.034). Patients with SPMS showed a significant association between increased T2 LV and greater anti-EBV-VCA titer (r = 0.22, p = 0.011). No associations between the anti-EBV-VCA titers and MRI outcomes were detected in patients with PPMS.
Table 4

Differences in MRI measures, according to the anti-EBV- VCA IgG quartile antibody status, in patients with MS

Differences in MRI measures, according to the anti-EBV- VCA IgG quartile antibody status, in patients with MS

MRI differences according to the anti-EBV-EBNA-1 antibodies.

Similar within-group analyses were carried out for anti-EBV-EBNA-1 antibodies. No anti-EBV-EBNA-1 highest and lower quartile status group MRI outcome differences were found for patients with MS, CIS, and OND and HC (table e-2 and figure e-1). In Pearson correlation analysis, no associations between the anti-EBV-EBNA-1 titers and MRI outcomes were detected in MS, HC, OND, or CIS study groups. Table e-3 and figure e-1 show anti-EBV-EBNA-1 highest vs lower quartile status group MRI outcome differences for MS subtypes. Patients with RRMS in the anti-EBV-EBNA-1 highest quartile status group showed increased T1 lesion number (p = 0.035) and decreased NGMV (p = 0.008) and NCV (p = 0.035). Patients with PPMS in the anti-EBV-EBNA-1 highest quartile status group showed increased T2 lesion number (p = 0.047). In Pearson correlation analysis, there was a trend for decreased NGMV (p = 0.052), NCV (p = 0.074), and T1 lesion number (p = 0.079) in patients with RRMS. No anti-EBV-EBNA-1 highest and lower quartile status group MRI outcome differences were found for the patients with SPMS. In Pearson correlation analysis, no associations between the anti-EB- EBNA-1 titers and MRI outcomes were detected in patients with SPMS or PPMS.

MRI differences according to the anti-CMV antibodies.

No significant associations between MRI outcomes and anti-CMV antibody positivity or mean titer were found in patients with MS, CIS, and OND or in HC. Because no significant results were found in the MS group, no further analyses regarding MS subtypes were performed.

DISCUSSION

This cohort study examined association between the humoral response to EBV and MRI outcomes and investigated specifically the effect of this relationship in the cortex of patients with MS in vivo. Moreover, this study investigated whether the association of humoral response to EBV and MRI outcomes is MS-specific. The present study included 63 patients with OND and 178 HC who were age- and sex-matched to the patients with MS and who underwent anti-EBV and anti-CMV antibody determination and standardized 3T MRI with identical study procedures as part of a prospective cardiovascular, environmental, and genetic risk factor study in MS.[21,22] We did not find significant associations between humoral response to EBV and CMV and MRI outcomes in patients with OND (even of autoimmune origin) and HC, indicating that this relationship is MS-specific. Therefore, the current study supports a number of previous pathologic reports suggesting that meningeal inflammation and increased GM pathology may be induced by dysregulated EBV-infected B cells.[13,17,20] It is well known that mononucleosis, an infection caused by EBV, has been linked to the increased risk of developing MS in susceptible adolescents and young adults.[26] Evidence is mounting that EBV exerts its adverse disease susceptibility effects in MS via interactions with other host-related environmental and genetic factors.[8,11,27] Elevated titers have been reported against both the EBV-VCA, which is expressed in the viral replicative cycle, and the anti-EBV-EBNA-1, which is expressed in latently infected B lymphocytes.[1] Anti-EBV-VCA and -EBNA-1 elevation may indicate a more severe infection among patients with MS. It has been shown that EBV infection–mediated T cell response could lead to cross-reactivity with self-antigens. There is an expansion of activated circulating T cells that are specific for EBV latent and lytic antigens in patients with acute infectious mononucleosis.[1] The association of EBV-infected B cells located in ectopic follicles[13,17,20] and cortical pathology in patients with MS could not be initially replicated.[28,29] However, more-recent investigations that used sensitive radioactive probes against EBV-encoded RNA have provided further evidence consistent with the presence of EBV-infected cells that are colocalized with innate immune responses characterized by interferon α production in the brain of patients with MS.[30] Higher frequency of CD8+ T cell response to latent and lytic EBV proteins in inactive, untreated patients with RRMS suggests that inability to control EBV infection during inactive MS could set the stage for intracerebral viral reactivation and disease progression.[31] Another study found cells expressing EBV-encoded small RNA of early lytic EBV proteins in the cortical lesion infiltrates of patients with SPMS.[32] The results of the current study support the hypothesis that EBV-infected B cells may play an important role in the cortical and GM pathology. In fact, we found that the predilection of the brain volume loss in patients with MS was localized specifically to the cortex, as no significant differences were found between patients with MS for the highest and lower quartiles and relative mean titers of anti-EBV-VCA and -EBNA-1 antibodies for the whole brain, WM, or lateral ventricles. Lesions in the GM are frequently recognized in the earliest phases of MS[33] and in patients with radiologically isolated syndrome [34] and could be related to meningeal inflammation and germinal centers in which anti-EBV antibody levels may play an important role. In a previous study, we reported that GM atrophy was associated with anti-EBV-VCA antibody status in a sample of patients with MS recruited from Italy.[9] The present study confirms these preliminary findings in a 5-fold greater cohort of patients with MS who had different genetic and environment characteristics. It also extends our initial observations[9] by demonstrating that the humoral response to EBV has particular implications for the cortical pathology in MS. When the data were analyzed according to the MS disease subtypes, we found significant associations between cortical atrophy and anti-EBV-VCA and -EBNA-1 antibody status in RRMS but not in progressive MS subtypes, probably because of the lower sample size in these groups, especially in the PPMS group. This is in line with findings from a multicenter, prospective, longitudinal Observational Study of Early Interferon beta 1-a Treatment in High Risk Subjects after CIS (SET study), which showed that highest quartile antibody status of anti-EBV-VCA was associated with greater decrease in thalamus volume (p = 0.003) and a trend for decrease in cortical volume (p = 0.028) over 2 years in 193 patients with CIS.[7] In the same SET study, development of thalamic atrophy was better associated with development of clinically definite MS than accumulation of new T2 and CE lesions over 2 years.[35] Therefore, our data suggest that humoral response to EBV may exert a robust effect in earlier stages of the MS disease process. A retrospective analysis of 147 patients with CIS with 5-year follow-up in 117 patients with MS found that anti-EBV-EBNA-1 and -VCA antibody status immune responses were associated with baseline number of T2 lesions and with accumulation of new T2 lesions over 1 and 5 years.[3] In a group of 50 patients with CIS, 25 patients with RRMS, and 25 patients with PPMS followed over a 5-year period, accumulation of CE lesions in patients with established MS was associated with increased titer of anti-EBV-EBNA-1 antibodies.[4] In the SET study, the cumulative number of CE and T2 lesions during the 2-year period was greater for individuals in the highest quartile of anti-EBV-VCA antibodies.[2] In our Italian MS EBV study, we found that anti-EBV-VCA antibody status was associated with higher T2 and T1 LV.[9] In the present study, there was a significant association between increased T2 LV and number and volume of T1 lesions and anti-EBV-VCA and -EBNA-1 antibody highest quartile status and anti-EBV-VCA titer. It is interesting that these associations were present in patients with both relapsing and chronic progressive MS, indicating that humoral response to EBV is associated with more advanced pathologic substrate in the MS lesions. The reactivation of EBV over long-term can be a source of antigenic challenge to the immune system that is capable of promoting the proliferation of B cells and also causing activation of autoreactive T cells,[3] which can potentially explain increased T2 and T1 LVs in patients with the highest quartiles of anti-EBV-VCA and -EBNA-1. In order to determine whether antibody responses to another nearly ubiquitous virus (anti-CMV) are unique to patients with MS and CIS, we performed an additional analysis exploring anti-CMV positivity and mean titer differences between the study groups. No anti-CMV positivity or mean titer differences were found between patients with MS, CIS, and OND and HC. No associations between MRI outcomes and anti-CMV variables were found in any study group. These findings strengthen our results, indicating that humoral response to anti-EBV antibodies is MS-specific. This study used an established, standardized method for determination of curve and the concentration of anti-EBV-VCA, anti-EBV-EBNA-1, and anti-CMV antibodies.[2,7] We used quartiles for anti-EBV antibody titers and concentration determination, as they are not normally distributed, or anti-CMV positivity in the statistical analyses.[2,7] However, we also provided mean titer data and conducted Pearson correlation analyses between anti-EBV-VCA, anti-EBV-EBNA-1, and anti-CMV antibodies and MRI outcomes to allow comparison with the previous literature. The ANCOVA and Pearson correlation analyses for the anti-EBV-VCA antibody status and MRI outcomes yielded similar results. However, there were discrepancies between ANCOVA and Pearson correlation results for the anti-EBV-EBNA-1 antibodies and MRI outcomes in patients with RRMS, possibly due to antibody values that were not normally distributed, which could have affected the correlation results. The methodologic strengths of this study are that EBV and CMV examinations were carried out by expert physicians on a large cohort of HC and patients with MS and CIS in the setting of a specialized MS center and that MRIs was collected with standardized and sophisticated imaging protocol at 3T. However, the study is not without limitations. Use of more specific MRI sequences such as double inversion recovery could have increased the ability to capture part of lesion GM pathology in vivo.[19] The cross-sectional nature of this study cannot establish a causal relationship between EBV and greater cortical atrophy in patients with MS, although findings from the control groups indicated that these associations are MS-specific. A longitudinal 5-year examination of the present cohort is under way in our center to determine the cause–effect relationship of humoral response to EBV and progression of MRI and clinical outcomes. Our results demonstrate that humoral immune responses to herpesviruses such as EBV are associated with more advanced cortical atrophy and accumulation of chronic T1 black holes and focal WM lesions in patients with MS. The results provide evidence for further research aimed at modulating the response of patients with MS to these viruses via drug and vaccine strategies.
  35 in total

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Authors:  Francesca Aloisi; Barbara Serafini; Roberta Magliozzi; Owain W Howell; Richard Reynolds
Journal:  Brain       Date:  2010-08-25       Impact factor: 13.501

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Authors:  Laura A N Peferoen; Floris Lamers; Lenthe N R Lodder; Wouter H Gerritsen; Inge Huitinga; Jeroen Melief; Gavin Giovannoni; Ute Meier; Rogier Q Hintzen; Georges M G M Verjans; Gijsbert P van Nierop; Wim Vos; Regina M B Peferoen-Baert; Jaap M Middeldorp; Paul van der Valk; Sandra Amor
Journal:  Brain       Date:  2009-11-16       Impact factor: 13.501

3.  Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score.

Authors:  Philip L De Jager; Lori B Chibnik; Jing Cui; Joachim Reischl; Stephan Lehr; K Claire Simon; Cristin Aubin; David Bauer; Jürgen F Heubach; Rupert Sandbrink; Michaela Tyblova; Petra Lelkova; Eva Havrdova; Christoph Pohl; Dana Horakova; Alberto Ascherio; David A Hafler; Elizabeth W Karlson
Journal:  Lancet Neurol       Date:  2009-10-29       Impact factor: 44.182

4.  Antibodies to Epstein-Barr virus and MRI disease activity in multiple sclerosis.

Authors:  Silje Kvistad; Kjell-Morten Myhr; Trygve Holmøy; Søren Bakke; Antonie G Beiske; Kristian S Bjerve; Harald Hovdal; Kristin I Løken-Amsrud; Finn Lilleås; Rune Midgard; Gro Njølstad; Tom Pedersen; Jūratė Šaltytė Benth; Stig Wergeland; Oivind Torkildsen
Journal:  Mult Scler       Date:  2014-05-19       Impact factor: 6.312

5.  Epstein-Barr virus and disease activity in multiple sclerosis.

Authors:  D Buljevac; G J J van Doornum; H Z Flach; J Groen; A D M E Osterhaus; W Hop; P A van Doorn; F G A van der Meché; R Q Hintzen
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-10       Impact factor: 10.154

6.  Elevated Epstein-Barr virus-encoded nuclear antigen-1 immune responses predict conversion to multiple sclerosis.

Authors:  Jan D Lünemann; Mar Tintoré; Brady Messmer; Till Strowig; Alex Rovira; Héctor Perkal; Estrella Caballero; Christian Münz; Xavier Montalban; Manuel Comabella
Journal:  Ann Neurol       Date:  2010-02       Impact factor: 10.422

7.  Gene-environment interactions between HLA B7/A2, EBV antibodies are associated with MRI injury in multiple sclerosis.

Authors:  Robert Zivadinov; Bianca Weinstock-Guttman; Marino Zorzon; Laura Uxa; Maurizia Serafin; Antonio Bosco; Alessio Bratina; Cosimo Maggiore; Attilio Grop; Maria Antonietta Tommasi; Bhooma Srinivasaraghavan; Murali Ramanathan
Journal:  J Neuroimmunol       Date:  2009-02-15       Impact factor: 3.478

8.  Humoral immune response to EBV in multiple sclerosis is associated with disease activity on MRI.

Authors:  R A Farrell; D Antony; G R Wall; D A Clark; L Fisniku; J Swanton; Z Khaleeli; K Schmierer; D H Miller; G Giovannoni
Journal:  Neurology       Date:  2009-05-20       Impact factor: 9.910

9.  Effects of infectious mononucleosis and HLA-DRB1*15 in multiple sclerosis.

Authors:  T R Nielsen; K Rostgaard; J Askling; R Steffensen; A Oturai; C Jersild; N Koch-Henriksen; P S Sørensen; H Hjalgrim
Journal:  Mult Scler       Date:  2009-01-19       Impact factor: 6.312

10.  B-cell enrichment and Epstein-Barr virus infection in inflammatory cortical lesions in secondary progressive multiple sclerosis.

Authors:  Roberta Magliozzi; Barbara Serafini; Barbara Rosicarelli; Giuseppe Chiappetta; Caterina Veroni; Richard Reynolds; Francesca Aloisi
Journal:  J Neuropathol Exp Neurol       Date:  2013-01       Impact factor: 3.685

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Journal:  Mult Scler       Date:  2019-02-13       Impact factor: 6.312

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Journal:  EPMA J       Date:  2016-11-24       Impact factor: 6.543

6.  Serological profiling of the EBV immune response in Chronic Fatigue Syndrome using a peptide microarray.

Authors:  Madlen Loebel; Maren Eckey; Franziska Sotzny; Elisabeth Hahn; Sandra Bauer; Patricia Grabowski; Johannes Zerweck; Pavlo Holenya; Leif G Hanitsch; Kirsten Wittke; Peter Borchmann; Jens-Ulrich Rüffer; Falk Hiepe; Klemens Ruprecht; Uta Behrends; Carola Meindl; Hans-Dieter Volk; Ulf Reimer; Carmen Scheibenbogen
Journal:  PLoS One       Date:  2017-06-12       Impact factor: 3.240

7.  Epstein-Barr virus antibodies in serum and DNA load in saliva are not associated with radiological or clinical disease activity in patients with early multiple sclerosis.

Authors:  René M Gieß; Catherina Pfuhl; Janina R Behrens; Ludwig Rasche; Erik Freitag; Nima Khalighy; Carolin Otto; Jens Wuerfel; Alexander U Brandt; Jörg Hofmann; Bettina Eberspächer; Judith Bellmann-Strobl; Friedemann Paul; Klemens Ruprecht
Journal:  PLoS One       Date:  2017-04-07       Impact factor: 3.240

8.  Exploring the effect of vitamin D3 supplementation on the anti-EBV antibody response in relapsing-remitting multiple sclerosis.

Authors:  Linda Rolf; Anne-Hilde Muris; Amandine Mathias; Renaud Du Pasquier; Inga Koneczny; Giulio Disanto; Jens Kuhle; Sreeram Ramagopalan; Jan Damoiseaux; Joost Smolders; Raymond Hupperts
Journal:  Mult Scler       Date:  2017-07-21       Impact factor: 6.312

Review 9.  Infections, Vaccines and Autoimmunity: A Multiple Sclerosis Perspective.

Authors:  Dejan Jakimovski; Bianca Weinstock-Guttman; Murali Ramanathan; Michael G Dwyer; Robert Zivadinov
Journal:  Vaccines (Basel)       Date:  2020-01-28

Review 10.  Crosstalk of Microorganisms and Immune Responses in Autoimmune Neuroinflammation: A Focus on Regulatory T Cells.

Authors:  Christina B Schroeter; Niklas Huntemann; Stefanie Bock; Christopher Nelke; David Kremer; Klaus Pfeffer; Sven G Meuth; Tobias Ruck
Journal:  Front Immunol       Date:  2021-10-07       Impact factor: 7.561

  10 in total

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