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Open Access

Peer-reviewed

Research Article

Association between IgM Anti-Herpes Simplex Virus and Plasma Amyloid-Beta Levels

Abstract

Objective

Herpes simplex virus (HSV) reactivation has been identified as a possible risk factor for Alzheimer's disease (AD) and plasma amyloid-beta (Aβ) levels might be considered as possible biomarkers of the risk of AD. The aim of our study was to investigate the association between anti-HSV antibodies and plasma Aβ levels.

Methods

The study sample consisted of 1222 subjects (73.9 y in mean) from the Three-City cohort. IgM and IgG anti-HSV antibodies were quantified using an ELISA kit, and plasma levels of Aβ1–40 and Aβ1–42 were measured using an xMAP-based assay technology. Cross-sectional analyses of the associations between anti-HSV antibodies and plasma Aβ levels were performed by multi-linear regression.

Results

After adjustment for study center, age, sex, education, and apolipoprotein E-e4 polymorphism, plasma Aβ1–42 and Aβ1–40 levels were specifically inversely associated with anti-HSV IgM levels (β = −20.7, P = 0.001 and β = −92.4, P = 0.007, respectively). In a sub-sample with information on CLU- and CR1-linked SNPs genotyping (n = 754), additional adjustment for CR1 or CLU markers did not modify these associations (adjustment for CR1 rs6656401, β = −25.6, P = 0.002 for Aβ1–42 and β = −132.7, P = 0.002 for Aβ1–40; adjustment for CLU rs2279590, β = −25.6, P = 0.002 for Aβ1–42 and β = −134.8, P = 0.002 for Aβ1–40). No association between the plasma Aβ1–42-to-Aβ1–40 ratio and anti-HSV IgM or IgG were evidenced.

Conclusion

High anti-HSV IgM levels, markers of HSV reactivation, are associated with lower plasma Aβ1–40 and Aβ1–42 levels, which suggest a possible involvement of the virus in the alterations of the APP processing and potentially in the pathogenesis of AD in human.

Citation: Féart C, Helmer C, Fleury H, Béjot Y, Ritchie K, Amouyel P, et al. (2011) Association between IgM Anti-Herpes Simplex Virus and Plasma Amyloid-Beta Levels. PLoS ONE 6(12): e29480. https://doi.org/10.1371/journal.pone.0029480

Editor: Kevin K. A. Tetteh, London School of Hygiene and Tropical Medicine, United Kingdom

Received: May 19, 2011; Accepted: November 29, 2011; Published: December 28, 2011

Copyright: © 2011 Féart et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The Three-City Study is conducted under a partnership agreement between the Institut National de la Santé et de la Recherche Médicale (INSERM), the Institut de Santé Publique et Développement of the Victor Segalen Bordeaux 2 University, and Sanofi-Aventis. The Fondation pour la Recherche Médicale funded the preparation and initiation of the study. The 3C Study is also supported by the Caisse Nationale Maladie des Travailleurs Salariés, Direction Générale de la Santé, Mutuelle Générale de l'Education Nationale, Institut de la Longévité, Regional Governments of Aquitaine and Bourgogne, Fondation de France, and Ministry of Research - INSERM Programme “Cohortes et collections de données biologiques”. This work was additionally funded by the European Community's cNEUPRO programme (contract LSHM-CT-2007-037950). Role of the sponsors: Study sponsors played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.

Competing interests: Sanofi-Aventis has an interest in anti-Amyloid Beta antibody therapy for treating Alzheimer's disease; specifically, an anti-Amyloid Beta antibody therapy is in development. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials.

Introduction

Previous researches have suggested that Herpes Simplex Virus (HSV), notably type 1 (HSV-1), may constitute a risk factor of Alzheimer's disease (AD) [1], [2], [3], [4]. We recently assessed the association between seropositivity to HSV and risk of AD in the PAQUID study and found that elderly subjects who were IgM-positive were more likely to develop dementia within the next 7 years while no association was found among IgG-positive subjects [5]. These results suggest that a recent reactivation of HSV, characterized by the specific association with anti-HSV IgM antibodies, may be involved in the long-term neuropathological processes leading to dementia [5]. The identification of intermediary biomarkers within the amyloid cascade would considerably strengthen the case for the causal relationship suggested by epidemiological evidence. The relevance of plasma biomarkers of AD, notably of the amyloid β fragment (Aβ1–40 and Aβ1–42), has recently been investigated in humans, producing some conflicting results [6]. Indeed, in some studies, AD subjects exhibited higher Aβ1–40 or Aβ1–42 plasma levels compared to controls while others studies have reported opposing data [6]. We have previously reported that an increased Aβ1–42-to-Aβ1–40 plasma ratio was strongly negatively associated with the risk of dementia 2 years later in the Three-City population-based cohort, suggesting that changes in plasma Aβ1–40 and Aβ1–42 levels might be considered an indicator of short-term risk of dementia [7]. A meta-analysis of plasma Aβ levels in AD suggested that in longitudinal studies these parameters might be predictors of higher rates of progression to AD, and should be further explored as potential biomarkers [8].

In the relationship linking HSV to AD, our hypothesis is that a specific association between anti-HSV IgM, and not IgG, antibodies and plasma Aβ levels might occur in the pre-clinical phase of the dementia syndrome. The present study examined whether anti-HSV antibodies were associated with plasma Aβ1–40, Aβ1–42 and Aβ1–42-to-Aβ1–40 ratio in a sample of older community dwellers from the Three-City study, and whether this association may be modulated by genetic risk factors for AD; Apolipoprotein E-allele e4 (ApoE4), CR1 and CLU, which have also been involved in the HSV life cycle [2], [9].

Results

The main study sample consisted of 1222 individuals, aged 73.9 y on average (range 65.0–94.1) and the secondary study sample, with CLU- and CR1- linked SNPs genotyping determination, consisted of 754 subjects, aged 74.0 y on average (range 65.0–92.0). Their main characteristics are described in Table 1.

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Table 1. Main characteristics of the main study sample and the secondary study sample.

https://doi.org/10.1371/journal.pone.0029480.t001

In the main study sample, only the crude correlation between anti-HSV IgM levels and plasma Aβ1–40 and Aβ1–42 levels were statistically significant (r = −0.074, P = 0.009 and r = −0.087, P = 0.002 respectively). Moreover, mean plasma Aβ1–40 and Aβ1–42 levels significantly differed according to the quartiles of anti-HSV IgM distribution in crude analyses (Table 2). The lowest mean plasma Aβ1–40 and Aβ1–42 levels were observed in the highest quartile of anti-HSV IgM. As a consequence, the mean Aβ1–42-to-Aβ1–40 ratio did not differ among quartiles of distribution of anti-HSV IgM. These results were virtually unchanged when these analyses were performed in the secondary study sample (n = 754) (Table 3). In contrast, there was no significant difference in means of plasma Aβ1–40 and Aβ1–42 and of the Aβ1–42-to-Aβ1–40 ratio according to quartiles of anti-HSV IgG distribution in the main study sample (Table 2) as in the secondary study sample (Table 3).

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Table 2. Mean plasma amyloid-β levels by quartiles of distribution of IgM or IgG antibodies to herpes simplex virus in the main study sample (n = 1222).

https://doi.org/10.1371/journal.pone.0029480.t002

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Table 3. Mean plasma amyloid-β levels by quartiles of distribution of IgM or IgG antibodies to herpes simplex virus in the secondary study sample (n = 754).

https://doi.org/10.1371/journal.pone.0029480.t003

Associations between plasma Aβ1–40 and Aβ1–42 levels and of the Aβ1–42-to-Aβ1–40 ratio and anti-HSV IgM levels, considered as a continuous or class variable, in the main study sample are shown in Table 4. After adjustment for study center, age, sex and education, plasma Aβ1–40 and Aβ1–42 levels were significantly inversely associated with anti-HSV IgM (Table 4, model 1). The strength of these associations remained almost unchanged after additional adjustment for ApoE polymorphism (Table 4, model 1+ApoE4). When considering anti-HSV IgM levels as a class variable, the highest quartile of IgM was associated with a level of Aβ1–42 decreased on average of 2.9 pg/mL and a level of Aβ1–40 decreased of 11.6 pg/mL in fully adjusted models. No association between the plasma Aβ1–42-to-Aβ1–40 ratio and anti-HSV IgM levels was evidenced in multivariate linear regression analyses (Table 4). Considering anti-HSV IgG levels either as a continuous or a categorical variable, no association with plasma Aβ1–40, Aβ1–42 or the Aβ1–42-to-Aβ1–40 ratio were evidenced (Table S1). Finally, no significant statistical interaction with ApoE4 polymorphism was found in any model.

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Table 4. Associations between plasma amyloid-ß levels and IgM antibodies to herpes simplex virus in the main study sample (n = 1222).

https://doi.org/10.1371/journal.pone.0029480.t004

In a sensibility analysis, similar results were obtained when subjects who developed incident dementia during the follow-up were excluded (n = 40) (Table S2).

Given the potential involvement of the complement C3b protein, and so CR1, and of CLU in Aβ clearance and pathogen defence, associations between plasma Aβ1–40, Aβ1–42 levels and Aβ1–42-to-Aβ1–40 ratio and anti-HSV IgM or IgG levels were assessed in the secondary study sample where CR1- and CLU- linked SNPs markers were available. In this sub-population (n = 754), results of inverse associations between plasma Aβ1–40 and Aβ1–42 and anti-HSV IgM levels remained almost unchanged (Table 5, model 1). As previously observed in the main study sample, no association between the Aβ1–42-to-Aβ1–40 ratio and IgM antibody levels was found. Furthermore, no association between plasma Aβ1–40, Aβ1–42 and the Aβ1–42-to-Aβ1–40 ratio and anti-HSV IgG levels were observed (Table S1). When controlling for rs6656401 (Table 5, model 1+CR1) or rs3818361 (Table S3, model 1) at the CR1 locus, or for rs2279590 (Table 5, model 1+CR1) or rs9331888 and rs11136000 (Table S3, model 1 + CR1 or CLU) at the CLU locus, results of inverse associations between plasma Aβ1–40 and Aβ1–42 and anti-HSV IgM were virtually unchanged. In fully adjusted models for ApoE4, CR1- and CLU- linked SNP, this inverse association remained significant (Table 5). No significant statistical interaction with any CR1- or CLU- linked SNP was found in any model.

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Table 5. Associations between plasma amyloid-β levels and IgM antibodies to herpes simplex virus in the secondary study sample with CR1- and CLU-linked SNPs available data (n = 754).

https://doi.org/10.1371/journal.pone.0029480.t005

Discussion

This population-based cohort study is the first to report that higher plasma IgM antibodies to HSV levels were significantly associated with lower plasma Aβ1–40 and Aβ1–42 levels. No association between anti-HSV IgG antibodies and plasma Aß levels was highlighted. These results were independent of ApoE4 polymorphism, CR1 and CLU markers.

Beside previous knowledge [5],[7], our hypothesis suggested that an association between anti-HSV IgM and plasma Aß levels would exist during the long prodromal phase of dementia. Although HSV was present in both normal and AD brains, several lines of evidence have already suggested potential scenarios by which HSV may participate in the complex pathogenesis of dementia [1], [3]. The brain areas which are predominantly targeted by HSV infectious agents in herpetic encephalitis include frontal cortex, temporal cortex and hippocampus, and are also those predominantly affected in AD [4]. Second, HSV-1 is ubiquitous and could reside latently in the central nervous system (CNS) or could easily enter the CNS because of a decline in the immune system with advancing age [10]. A hypothesis has suggested that periodic mild reactivation of the latent virus in the brain, because of age-related immunosuppression or stress, for the most part without evident clinical symptoms, may lead to increased cell damage, and indirectly, via inflammatory processes, increased susceptibility for AD [11]. This hypothesis has been in part confirmed in the PAQUID study [5] and altogether, these results were in favour of a long-term effect of recurrent reactivations of HSV leading to progressive brain damage, and several years later, to dementia. The replication of the PAQUID study analyses was not our main objective since participants of the case-cohort involved in the present analyses were followed-up only for 4 years.

The amyloid cascade hypothesis suggests that aberrant metabolism of the amyloid precursor protein (APP) and subsequent accumulation of oligomers Aß fragments is a major determinant of AD [12]. Repercussions of such brain alterations to peripheral Aß levels are only partly understood [6]. It has been suggested that plasma Aß levels gradually decreased over time with the increased brain Aß deposition in human as well [13]. Recent results of an increased PiB-PET uptake being associated with lower plasma Aß levels in Mild Cognitive Impairment supported the “sink hypothesis” that increased amyloid deposition in the brain is accompanied by lower peripheral Aß levels in plasma [14]. In that case, low plasma Aß levels might be considered possible short-term risk markers of dementia and could reflect prior sequestration of Aß in the brain [7], [13], [14], [15]. The finding by Yaffe et al. fitted comfortably within this hypothesis since plasma Aβ1–42 levels and the Aβ1–42-to-Aβ1–40 ratio correlated with cognitive decline [16]. Because of the fluctuation of plasma Aß levels during the presymptomatic dementia period, the accurate dynamic process of plasma Aß levels is not well known so far.

Interestingly, several studies have also linked HSV to Aß [11]. Indeed, a segment of Aß is highly homologous to a glycoprotein encoded by the virus, and an association between HSV-1 and APP during axonal transport of the virus may lead to alter the APP processing [11], [17], [18]. For instance, Cheng et al. have illustrated the possible role of HSV-1 in the APP dynamic, by showing that HSV-1-infected cells displayed abnormal APP distribution, and that APP and HSV-1 capsids co-localized and travelled together within cells [19]. Secondly, a striking localisation of HSV-1 DNA within amyloid plaques in human AD brains has also been reported [20]. Third, infection with HSV-1 increases the enzymes responsible for Aβ formation in mice brains and leads to Aβ accumulation [21], [22], [23]. In a neuronal cell culture model, HSV increases the formation of Aβ oligomers [24] while in HSV-1-infected cells, antiviral agents reduced the accumulation of Aβ and of phospho-Tau [25]. On the other hand, Aβ fibrils have been shown to facilitate the entry of several viruses, including HSV-1 [26], a mechanism considered as an initially protective response against the viral infection [4]. Anyway, an anti-infectious activity has been attributed to Aβ [27] suggesting that brain cells might produce Aβ in an attempt to combat infections.

Altogether, these results suggest that infection earlier in life with HSV in the peripheral nervous system, with subsequent infection in CNS, leads to activation of the immune system, altering APP metabolism. Recurrent periodic mild reactivation of latent HSV in CNS, as associated with anti-HSV IgM levels, may lead to gradually increased production of Aβ. The continuous Aβ accumulation in brains cells may eventually result in later changes in periphery as assessed by instability of plasma Aβ levels during the long prodromal phase of dementia and afterwards by decreased plasma Aβ levels in the very last years before the diagnosis [7], [15]. Toxicity-related Aβ over-production, concomitant with multiple HSV reactivations, thus in effect, a persistent infection, might be conducive to progressive brain injury, with increasing cognitive dysfunction, leading to dementia several years later [5]. If this hypothesis is true, the first HSV infection of brain may constitute a trigger for the amyloid cascade. The reactivation of the virus may exacerbate these brain alterations during the long time course preceding the clinical diagnosis of dementia. This is confirmed by unchanged results obtained by sensitivity analyses where subjects who developed dementia in the short-term (in the four subsequent years) were excluded in the present study. Finally, the lack of association between anti-HSV IgG antibodies, markers of past infection, and plasma Aß levels in the present study also reinforced the present hypothesis.

Inflammatory response of immune system against many viral infections, including HSV-1, is a possible indirect way by which this virus may contribute to AD [5], [11]. The exacerbation of neuroinflammation, due to HSV-1 infection and/or consequently to neuropathological processes, may contribute to increase oxidative stress, to which the CNS is highly sensitive [28]. Oxidative damage is commonly observed in AD, even in the early stages of the disease [29], and viral infection, such as HSV, also leads to over-production of reactive oxygen and nitrogen species [11], [30]. Finally, the efficacy of the autophagy, considered as usual cellular defences mechanism involved in AD, would be reduced by HSV-1 for its own survival [23], [31], [32], [33], [34].

Complex interactions between HSV life cycle and major susceptibility AD gene products, including CR1 and CLU [9], have also recently been suggested [2], [11]. However, our results are not in favour of different associations between anti-HSV IgM and plasma Aβ among carriers of the CR1 or CLU predisposing genetic factors. Associations between anti-HSV IgM and plasma Aβ levels were also not modulated by ApoE4 polymorphism in the present study, consistent with at least one previous observation that ApoE4 does not modify the association between HSV seropositivity and risk of AD [5], although other studies have suggested that it might [35], [36], [37]. Nevertheless, all potential genes/infection interactions have not yet been fully studied and require further investigation [2].

Our results should be interpreted with caution due to some limitations. First, since our study was cross-sectional, we could not determine whether the low observed plasma Aβ levels were the result of reactivation of HSV or whether plasma Aβ levels pre-dated elevated anti-HSV IgM levels. Indeed, an alternative explanation is that the possible accumulation of Aβ in brain cells, with subsequent low plasma Aβ levels, might be the first step of AD-related neuropathological processes, and might furthermore be characteristic of favourable conditions for latent HSV reactivation in the CNS. Second, plasma Aβ does not only reflect brain Aβ turnover and metabolism but also that derived from peripheral tissues [6], [38]. The relevance of repeated measurements of plasma Aβ and anti-HSV IgM levels to assess the timeline of the events during the prodromal period of the dementia process would reinforce our main hypothesis, although it was not obtainable. Moreover, measurement of plasma Aβ is subject to many potential confounds that induce biological variations and we can not exclude that these variations might in part increased our chance to evidence associations [39]. Cerebrospinal fluid (CSF) is thought to more closely reflect what is happening in the brain. CSF Aβ1–42 levels have been associated with current AD or shown to be predictive of future dementia in patients with Mild Cognitive Impairment [6]. Therefore, the replication of the present analyses with CSF biomarkers would be of great interest. No such samples were available in the 3C cohort, leading us to be unable to perform these analyses. However, among groups with different cognitive abilities in ADNI, the plasma Aβ had a better correlation with Aβ brain deposits than CSF Aβ values [40]. Third, the sub-type of HSV (HSV-1 or HSV-2) was not determined in this study, although it is most likely that participants were infected by HSV-1. Indeed, HSV-1 infection is more frequent than HSV-2 and herpes simplex encephalopathy caused by HSV-2 is very rare in adults [41].

Several strengths of this study must be underlined. As plasma Aβ concentration varies widely during the prodromal phase of dementia [7], our large sample size increases the validity of the observations. Moreover, this population-based study was conducted in the 3C cohort, which is independent sample of the previous cohort (the PAQUID study) [5].

To conclude, we have shown that HSV reactivation, assessed by increased anti-HSV IgM levels, is associated with lower plasma Aβ1–40 and Aβ1–42 levels, lending further support to the hypothesis that HSV may be implicated in the dynamic of the APP processing and potentially in the pathogenesis of AD in human. Further research is needed to establish the direction of causality and to explain the underlying mechanisms.

Methods

Participants

The data come from the Three-City (3C) study, a prospective cohort study of vascular risk factors of dementia whose methodology is described in detail elsewhere [42]. The protocol of the 3C study was approved by the Consultative Committee for the Protection of Persons participating in Biomedical Research of the Kremlin-Bicêtre University Hospital (Paris). A sample of 9294 community dwellers aged 65 and over was selected in 1999–2000 from the electoral rolls of three French cities: Bordeaux (n = 2104), Dijon (n = 4931) and Montpellier (n = 2259). All participants signed a written consent and all clinical investigations have been conducted according to the principles expressed in the “Declaration of Helsinki”.

At the baseline clinical examination, data were assessed using standardised questionnaires and a blood sample was obtained. Participants were reexamined two (2001–2003; n = 8072) and four (2003–2005; n = 7148) years after the baseline examination. During this follow-up period, incident dementia were actively screened, using a two step procedure following administration of the battery of neuropsychological tests [42]. At each wave, participants suspected of having dementia based on their present neuropsychological performances or decline relative to a previous examination were examined by a neurologist. An independent committee of neurologists then reviewed all potential cases of dementia and analysed in depth the medical history of each participant to obtain a consensus on the diagnosis and etiology according to the criteria of the Diagnostic and Statistical Manual of Mental Disorders, fourth edition.

A case–cohort study was conducted at the end of 4 years of follow-up for the investigation of non-standard risk markers for dementia, stroke and coronary heart disease (Fig. 1). Among the 9294 subjects of the initial cohort, 880 were excluded because either they had no blood sampling or they did not participate in any of the follow-up examinations, leading to a remaining sample of 8414. For the present work, the case–cohort study comprised a subcohort of 1254 subjects randomly selected in strata defined according to center, age (5 years), and sex. Among them, twenty-nine subjects were diagnosed as having prevalent dementia at baseline and were thus excluded from the current analysis. Incident dementia was diagnosed in 40 participants included in the subcohort. Participants for whom at least one Aß plasma concentration (n = 3) or IgM or IgG antibodies to HSV quantification (n = 0) was missing were excluded. These selection steps allowed us to define a main study sample of 1222 participants (Fig. 1).

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Figure 1. Design of the case-control study, definition of the main study sample and of the secondary study sample.

Abbreviations: HSV, herpes simplex virus; Aβ, Amyloid-beta; 3C, Three-City Study.

https://doi.org/10.1371/journal.pone.0029480.g001

Assessment of plasma amyloid-β concentration

Blood samples were all obtained early in the morning, simultaneously to the baseline data collection. Blood was collected in anticoagulant (EDTA) vacutainers and centrifuged at 1.000 g for 10 minutes. Plasma samples were aliquoted and were frozen immediately at −80°C.

The plasma Aβ quantification was described in details elsewhere [7]. Briefly, the baseline plasma Aβ peptide assay was performed using an INNO-BIA kit (Innogenetics, Ghent, Belgium) based on a multiplex xMAP (Luminex, Austin, TX) technique. Knowing the dynamic of plasma amyloid levels according to matrix type and technical processing, we used the INNO-BIA kit as one of the more reliable commercial amyloid ELISA kits [39]. The quantification of Aβ1–40 and Aβ1–42 (pg/mL) were determined and the Aβ1–42-to-Aβ1–40 ratio was computed.

IgM and IgG antibodies to Herpes Simplex Virus quantification

A high sensitive and specific ELISA diagnostic kit (Enzygnost Anti HSV/IgM and IgG, Dade Behring, Marburg, Germany) was used to quantify anti-HSV IgM antibodies (anti-HSV IgM) and anti-HSV IgG antibodies (anti-HSV IgG) [5], [43]. IgM and IgG titres are expressed in international unit per milliliter (UI/mL).

Potential confounders

Socio-demographic information included age, sex, and education. Apolipoprotein E (ApoE) genotyping was performed at the Lille Genopole (France) and ApoE4 genotype was considered dichotomously: presence of at least one e4 allele vs. no e4 allele [44]. DNA of a subsample of participants of the 3C study, transferred to the French Centre National de Genotypage for genome wide assessment, gives us information on CLU- and CR1-linked SNPs genotyping [9]. Among them, 754 subjects of the case-control study, for whom markers of CR1-linked SNPs (rs6656401 and rs3818361) and CLU-linked SNPs (rs9331888, rs2279590 and rs11136000) have been determined, constituted the secondary study sample for the present analysis (Fig. 1) [9]. Eleven data for CLU rs11136000 were missing.

Statistical analyses

All statistical analyses were performed with SAS Statistical package (Version 9.1 SAS Institute). Demographic, biological and genetic characteristics were described in the main study sample (n = 1222) and in the secondary study sample (n = 754). In the main study sample, the crude association between plasma Aβ1–40, Aβ1–42 and the Aβ1–42-to-Aβ1–40 ratio and the anti-HSV IgM or anti-HSV IgG levels were performed. Moreover, the quartiles of distribution of anti-HSV IgM and anti-HSV IgG were defined and mean plasma Aβ1–40, Aβ1–42 and the Aβ1–42-to-Aβ1–40 ratio were compared using analysis of variance (ANOVA) or Kruskal-Wallis test when ANOVA hypotheses were not satisfied (accepted significance at P<0.05). Cross-sectional analyses of the association between plasma Aβ1–40 and Aβ1–42 levels and the Aβ1–42-to-Aβ1–40 ratio (entered into separate models as continuous variables) and anti-HSV IgM or anti-HSV IgG were separately performed by multivariate linear regression. Anti-HSV IgM or IgG levels have been considered as continuous variable on the one hand (i.e. analysis for one additional unit of IgM or IgG) and as dichotomous variable on the other hand: the highest quartile of distribution of anti-HSV IgM or IgG was compared with the clustered three other quartiles, chosen as reference. These analyses were adjusted for study center, age (continuous), sex, and education level in model 1 and additionally for ApoE genotype in model 2. Statistical interactions between IgM or IgG levels and ApoE genotype were tested. In a sensitivity analysis, subjects with incident dementia (n = 40) were excluded.

All these analyses were replicated in a sub-sample of 754 subjects with available data on genotyped markers of CR1 and CLU (Fig. 1). Multivariate linear regression models of the association between plasma Aβ1–40, Aβ1–42 levels and the Aβ1–42-to-Aβ1–40 ratio (entered into separate models as continuous variables) and anti-HSV IgM or IgG were adjusted for study center, age (continuous), sex, education level and ApoE genotype in model 1. Additional adjustments for CR1 markers (rs6656401 on the one hand and rs3818361 on the other hand) and for CLU markers (rs9331888, rs2279590 and rs11136000 in separated models) were performed. Finally, additional models taken into account the ApoE4 genotype, CR1 and CLU markers as adjustment variables have been performed. Statistical interactions between IgM or IgG levels and CR1- or CLU- linked SNPs were tested.

Supporting Information

Table S1.

Associations between plasma amyloid-β levels and IgG antibodies to herpes simplex virus in the main study sample (n = 1222) and in the secondary study sample with CR1- and CLU-linked SNPs available data (n = 754).

https://doi.org/10.1371/journal.pone.0029480.s001

(DOC)

Table S2.

Associations between plasma amyloid-β levels and IgM and IgG antibodies to herpes simplex virus in subjects from the main study sample who remained free from dementia over time (n = 1182).

https://doi.org/10.1371/journal.pone.0029480.s002

(DOC)

Table S3.

Associations between plasma amyloid-β levels and IgM antibodies to Herpes Simplex Virus in the secondary study sample with CR1- and CLU-linked SNPs available data (n = 754).

https://doi.org/10.1371/journal.pone.0029480.s003

(DOC)

Author Contributions

Conceived and designed the experiments: CF CH LL JFD. Performed the experiments: CF CH LL JFD. Analyzed the data: CF CH LL JFD JCL KR HF YB PA SSM LB. Contributed reagents/materials/analysis tools: SSM LB JCL PA HF YB. Wrote the paper: CF CH LL JFD. Provided significant advice: HF YB KR PA SSM LB JCL.

References

  1. 1. Honjo K, van Reekum R, Verhoeff NP (2009) Alzheimer's disease and infection: do infectious agents contribute to progression of Alzheimer's disease? Alzheimers Dement 5: 348–360.
  2. 2. Carter CJ (2010) APP, APOE, complement receptor 1, clusterin and PICALM and their involvement in the herpes simplex life cycle. Neurosci Lett 483: 96–100.
  3. 3. Carter CJ (2011) Alzheimer's disease plaques and tangles: Cemeteries of a Pyrrhic victory of the immune defence network against herpes simplex infection at the expense of complement and inflammation-mediated neuronal destruction. Neurochem Int 58: 301–320.
  4. 4. Wozniak MA, Itzhaki RF (2010) Antiviral agents in Alzheimer's disease: hope for the future? Ther Adv Neurol Disord 3: 141–152.
  5. 5. Letenneur L, Peres K, Fleury H, Garrigue I, Barberger-Gateau P, et al. (2008) Seropositivity to herpes simplex virus antibodies and risk of Alzheimer's disease: a population-based cohort study. PLoS One 3: e3637.
  6. 6. Blennow K, Hampel H, Weiner M, Zetterberg H (2010) Cerebrospinal fluid and plasma biomarkers in Alzheimer disease. Nat Rev Neurol 6: 131–144.
  7. 7. Lambert JC, Schraen-Maschke S, Richard F, Fievet N, Rouaud O, et al. (2009) Association of plasma amyloid beta with risk of dementia: the prospective Three-City Study. Neurology 73: 847–853.
  8. 8. Song F, Poljak A, Valenzuela M, Mayeux R, Smythe GA, et al. (2011) Meta-analysis of plasma amyloid-beta levels in Alzheimer's disease. J Alzheimers Dis 26: 365–375.
  9. 9. Lambert JC, Heath S, Even G, Campion D, Sleegers K, et al. (2009) Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease. Nat Genet 41: 1094–1099.
  10. 10. Itzhaki RF, Wozniak MA (2006) Herpes simplex virus type 1, apolipoprotein E, and cholesterol: a dangerous liaison in Alzheimer's disease and other disorders. Prog Lipid Res 45: 73–90.
  11. 11. Itzhaki RF, Wozniak MA (2008) Herpes simplex virus type 1 in Alzheimer's disease: the enemy within. J Alzheimers Dis 13: 393–405.
  12. 12. Blennow K, de Leon MJ, Zetterberg H (2006) Alzheimer's disease. Lancet 368: 387–403.
  13. 13. Cosentino SA, Stern Y, Sokolov E, Scarmeas N, Manly JJ, et al. (2010) Plasma {beta}-Amyloid and Cognitive Decline. Arch Neurol 67: 1485–1490.
  14. 14. Devanand DP, Schupf N, Stern Y, Parsey R, Pelton GH, et al. (2011) Plasma Abeta and PET PiB binding are inversely related in mild cognitive impairment. Neurology 77: 125–131.
  15. 15. Schupf N, Tang MX, Fukuyama H, Manly J, Andrews H, et al. (2008) Peripheral Abeta subspecies as risk biomarkers of Alzheimer's disease. Proc Natl Acad Sci U S A 105: 14052–14057.
  16. 16. Yaffe K, Weston A, Graff-Radford NR, Satterfield S, Simonsick EM, et al. (2011) Association of plasma beta-amyloid level and cognitive reserve with subsequent cognitive decline. Jama 305: 261–266.
  17. 17. Cribbs DH, Azizeh BY, Cotman CW, LaFerla FM (2000) Fibril formation and neurotoxicity by a herpes simplex virus glycoprotein B fragment with homology to the Alzheimer's A beta peptide. Biochemistry 39: 5988–5994.
  18. 18. Shipley SJ, Parkin ET, Itzhaki RF, Dobson CB (2005) Herpes simplex virus interferes with amyloid precursor protein processing. BMC Microbiol 5: 48.
  19. 19. Cheng SB, Ferland P, Webster P, Bearer EL (2011) Herpes simplex virus dances with amyloid precursor protein while exiting the cell. PLoS One 6: e17966.
  20. 20. Wozniak MA, Mee AP, Itzhaki RF (2009) Herpes simplex virus type 1 DNA is located within Alzheimer's disease amyloid plaques. J Pathol 217: 131–138.
  21. 21. Wozniak MA, Itzhaki RF, Shipley SJ, Dobson CB (2007) Herpes simplex virus infection causes cellular beta-amyloid accumulation and secretase upregulation. Neurosci Lett 429: 95–100.
  22. 22. Piacentini R, Civitelli L, Ripoli C, Elena Marcocci M, De Chiara G, et al. (2010) HSV-1 promotes Ca(2+)-mediated APP phosphorylation and Abeta accumulation in rat cortical neurons. Neurobiol Aging.
  23. 23. Santana S, Recuero M, Bullido MJ, Valdivieso F, Aldudo J (2011) Herpes simplex virus type I induces the accumulation of intracellular beta-amyloid in autophagic compartments and the inhibition of the non-amyloidogenic pathway in human neuroblastoma cells. Neurobiol Aging.
  24. 24. De Chiara G, Marcocci ME, Civitelli L, Argnani R, Piacentini R, et al. (2010) APP processing induced by herpes simplex virus type 1 (HSV-1) yields several APP fragments in human and rat neuronal cells. PLoS One 5: e13989.
  25. 25. Wozniak MA, Frost AL, Preston CM, Itzhaki RF (2011) Antivirals reduce the formation of key Alzheimer's disease molecules in cell cultures acutely infected with herpes simplex virus type 1. PLoS One 6: e25152.
  26. 26. Wojtowicz WM, Farzan M, Joyal JL, Carter K, Babcock GJ, et al. (2002) Stimulation of enveloped virus infection by beta-amyloid fibrils. J Biol Chem 277: 35019–35024.
  27. 27. Soscia SJ, Kirby JE, Washicosky KJ, Tucker SM, Ingelsson M, et al. (2010) The Alzheimer's disease-associated amyloid beta-protein is an antimicrobial peptide. PLoS One 5: e9505.
  28. 28. McNaull BB, Todd S, McGuinness B, Passmore AP (2010) Inflammation and anti-inflammatory strategies for Alzheimer's disease–a mini-review. Gerontology 56: 3–14.
  29. 29. Pratico D (2008) Oxidative stress hypothesis in Alzheimer's disease: a reappraisal. Trends Pharmacol Sci 29: 609–615.
  30. 30. Valyi-Nagy T, Dermody TS (2005) Role of oxidative damage in the pathogenesis of viral infections of the nervous system. Histol Histopathol 20: 957–967.
  31. 31. Nixon RA (2007) Autophagy, amyloidogenesis and Alzheimer disease. J Cell Sci 120: 4081–4091.
  32. 32. Lambert JC, Grenier-Boley B, Chouraki V, Heath S, Zelenika D, et al. (2010) Implication of the immune system in Alzheimer's disease: evidence from genome-wide pathway analysis. J Alzheimers Dis 20: 1107–1118.
  33. 33. Lipinski MM, Zheng B, Lu T, Yan Z, Py BF, et al. (2010) Genome-wide analysis reveals mechanisms modulating autophagy in normal brain aging and in Alzheimer's disease. Proc Natl Acad Sci U S A 107: 14164–14169.
  34. 34. Moreira PI, Santos RX, Zhu X, Lee HG, Smith MA, et al. (2010) Autophagy in Alzheimer's disease. Expert Rev Neurother 10: 1209–1218.
  35. 35. Itzhaki RF, Lin WR, Shang D, Wilcock GK, Faragher B, et al. (1997) Herpes simplex virus type 1 in brain and risk of Alzheimer's disease. Lancet 349: 241–244.
  36. 36. Kuhlmann I, Minihane AM, Huebbe P, Nebel A, Rimbach G (2010) Apolipoprotein E genotype and hepatitis C, HIV and herpes simplex disease risk: a literature review. Lipids Health Dis 9: 8.
  37. 37. Itzhaki RF, Wozniak MA (2010) Alzheimer's disease and infection: Do infectious agents contribute to progression of Alzheimer's disease? Alzheimers Dement 6: 83–84; author reply 85.
  38. 38. Song F, Poljak A, Smythe GA, Sachdev P (2009) Plasma biomarkers for mild cognitive impairment and Alzheimer's disease. Brain Res Rev 61: 69–80.
  39. 39. Lachno DR, Vanderstichele H, De Groote G, Kostanjevecki V, De Meyer G, et al. (2009) The influence of matrix type, diurnal rhythm and sample collection and processing on the measurement of plasma beta-amyloid isoforms using the INNO-BIA plasma Abeta forms multiplex assay. J Nutr Health Aging 13: 220–225.
  40. 40. Toledo JB, Vanderstichele H, Figurski M, Aisen PS, Petersen RC, et al. (2011) Factors affecting Abeta plasma levels and their utility as biomarkers in ADNI. Acta Neuropathol 122: 401–413.
  41. 41. Malkin JE, Morand P, Malvy D, Ly TD, Chanzy B, et al. (2002) Seroprevalence of HSV-1 and HSV-2 infection in the general French population. Sex Transm Infect 78: 201–203.
  42. 42. The 3C Study Group (2003) Vascular factors and risk of dementia: design of the Three-City Study and baseline characteristics of the study population. Neuroepidemiology 22: 316–325.
  43. 43. Ohana B, Lipson M, Vered N, Srugo I, Ahdut M, et al. (2000) Novel approach for specific detection of herpes simplex virus type 1 and 2 antibodies and immunoglobulin G and M antibodies. Clin Diagn Lab Immunol 7: 904–908.
  44. 44. Dufouil C, Richard F, Fievet N, Dartigues JF, Ritchie K, et al. (2005) APOE genotype, cholesterol level, lipid-lowering treatment, and dementia: the Three-City Study. Neurology 64: 1531–1538.