PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Brain Behav Immun. Author manuscript; available in PMC 2012 March 1.
Published in final edited form as:
PMCID: PMC3039058
NIHMSID: NIHMS265634

AUTOANTIBODIES TO CEREBELLUM IN CHILDREN WITH AUTISM ASSOCIATE WITH BEHAVIOR

Abstract

Autism is a heterogeneous disorder with a poorly understood biological basis. Some children with autism harbor plasma autoantibodies that target brain proteins. Similarly, some mothers of children with autism produce antibodies specific to autism that target pairs of fetal brain proteins at 37/73 kDa and 39/73kDa. We explored the relationship between the presence of brain-specific autoantibodies and several behavioral characteristics of autism in 277 children with an autism spectrum disorder and 189 typically developing age-matched controls. Further, we used maternal autoantibody data to investigate potential familial relationships for the production of brain-directed autoantibodies. We demonstrated by western blot that autoantibodies specific for a 45kDa cerebellar protein in children were associated with a diagnosis of autism (p=0.017) while autoantibodies directed towards a 62kDa protein were associated with the broader diagnosis of autism spectrum disorder (ASD) (p=0.043). Children with such autoantibodies had lower adaptive (p=0.0008) and cognitive function (p=0.005), as well as increased aberrant behaviors (p<0.05) compared to children without these antibodies. No correlation was noted for those mothers with the most specific pattern of anti-fetal brain autoantibodies and children with the autoantibodies to either the 45 or 62 kDa bands. Collectively, these data suggest that antibodies towards brain proteins in children are associated with lower adaptive and cognitive function as well as core behaviors associated with autism. It is unclear whether these antibodies have direct pathologic significance, or if they are merely a response to previous injury. Future studies are needed to determine the identities of the protein targets and explore their significance in autism.

Keywords: Autism spectrum disorders, immune system, immunoglobulin, autoantibody, brain, cerebellum, neurodevelopment, behavior

INTRODUCTION

Autism spectrum disorders are a group of psychological conditions that manifest in early childhood. These disorders are characterized by widespread abnormalities of social interactions and communication, as well as restricted interests and repetitive behavior (American Psychiatric Association, 1994; Lord et al., 2000a; World Heath Organization, 2006). The autism phenotype is heterogeneous with regard to behavioral severity and disease onset (Meilleur and Fombonne, 2009; Micali et al., 2004; Ozonoff et al., 2010; Stefanatos, 2008). Autism spectrum disorders are clinically defined, and current diagnosis is based entirely on behavioral testing and analysis of medical and developmental history (Le Couteur et al., 2008; Lord et al., 2000b; Lord et al., 1994). The pathology and etiology of these disorders remain unclear; though emerging evidence suggests that genetic, neurological, environmental, and immune factors are likely involved (Pardo and Eberhart, 2007).

The neurobiology of autism spectrum disorders has been explored through various imaging techniques and examination of post-mortem samples. Data suggest that abnormal brain growth, altered neuronal migration and connectivity, and/or changes in minicolumnar organization may be involved (Pardo and Eberhart, 2007). Subtle differences have been reported in brain regions including the cerebral cortex, limbic structures, and cerebellum (Pardo and Eberhart, 2007). Overall, the neurological basis of autism spectrum disorders remains poorly understood, largely due to difficulties in obtaining quality post-mortem samples and a lack of information on early brain development. Further, the factors that cause neurological abnormalities are largely undefined.

Immune dysregulation has been noted among individuals with an autism spectrum disorder and their family members (Ashwood et al., 2006). This includes inflammation in the central nervous system (CNS) and gastrointestinal tract (Ashwood et al., 2004; Vargas et al., 2005), as well as differences in system-wide humoral and cellular immunity (Ashwood et al., 2006; Pardo et al., 2005). There are several reports of altered IgG and cytokine levels in subjects with an autism spectrum disorder compared to typically developing children (Ashwood et al., 2008a; Ashwood et al., 2008b; Enstrom et al., 2009a; Grigorenko et al., 2008; Heuer, 2008). Further, variations in immune parameters often correlate with behavioral severity (Ashwood et al., 2008a; Ashwood et al., 2008b; Enstrom et al., 2009a; Enstrom et al., 2010; Grigorenko et al., 2008; Heuer, 2008; Onore et al., 2009).

Autoimmune and allergy-associated disorders also appear more frequently in individuals with an autism spectrum disorder and their families compared to control populations (Ashwood and Van de Water, 2004; Ashwood et al., 2006; Cabanlit et al., 2007; Croen et al., 2005; Mostafa and Kitchener, 2009; Silva et al., 2004). Several studies have noted the presence of autoantibodies in peripheral blood that react with components of the central nervous system (CNS) (Enstrom et al., 2009b). The mechanistic role of these antibodies in autism spectrum disorders is not clear, and it remains to be determined whether they are pathogenic or if they are produced as a secondary result of neuronal insult. Similar phenomena have been described in other neurological disorders including Tourette’s syndrome, Syndenham’s chorea and obsessive compulsive disorder (Church et al., 2002; Swedo et al., 1998). CNS targets reported for autism spectrum disorders include the thalamus, hypothalamus, caudate nucleus, cerebral cortex, putamen, and cerebellum (Cabanlit et al., 2007; Connolly et al., 1999; Silva et al., 2004; Singer et al., 2006; Singh and Rivas, 2004; Vojdani et al., 2004; Wills et al., 2009). Research in our laboratory suggests that the cerebellum is the most consistent target of these antibodies (Cabanlit et al., 2007; Wills et al., 2007), and changes in cerebellum function can result in various behavioral and cognitive issues commonly observed in autism spectrum disorders (Gillig and Sanders, 2010; Steinlin, 2008). However, it is unknown if such autoantibodies to brain proteins coincide with specific behavioral features of the disorder. Although their exact involvement in autism is unknown, these antibodies provide valuable insight into biological mechanisms potentially associated with this behaviorally defined disorder.

In addition to the findings of brain-directed antibodies in children with autism, a subset of mothers of children with autism have been shown to harbor plasma IgG that targets fetal brain proteins (Braunschweig et al., 2008; Croen et al., 2008; Singer et al., 2008; Zimmerman et al., 2007). During pregnancy, maternal IgG is passed across the placenta into fetal circulation (Simister, 2003). Animals exposed to these fetal brain-directed autoantibodies during gestation demonstrate altered behavior, which suggests that maternal antibodies may be of pathologic significance (Martin et al., 2008; Singer et al., 2009). However, it remains unclear whether there is a relationship between the production of fetal brain-directed autoantibodies in mothers of children with autism and the production of autoantibodies specific for mature brain in their children.

The goals of the current study were two-fold: 1) To further characterize the occurrence of autoantibodies to mature cerebellum in a large group of children with an autism spectrum disorder, and to determine whether the presence of these autoantobodies relates to specific behavioral outcomes, and 2) To ascertain if there is a familial association for the presence of these autoantibodies in children and the presence of fetal brain-directed antibodies in their respective mothers. The occurrence of cerebellum-specific autoantibodies in children was analyzed in plasma samples from a large, well-characterized, and phenotypically diverse population of subjects with autism (AU), the broader diagnosis of autism spectrum disorder (ASD), and typically developing (TD) age-matched control children. In addition, mothers of the subjects included in the current study were screened for fetal brain-specific autoantibodies to determine possible familial relationships for brain-specific antibodies.

METHODS

Subjects

The current study involved 466 children and 439 mothers enrolled through the CHARGE (Childhood Autism Risks from Genetics and the Environment) study at the U.C. Davis M.I.N.D. (Medical Investigations of Neurodevelopmental Disorders) Institute at the University of California, Davis, which has previously been described in detail (Ashwood et al.). The CHARGE study is an ongoing population-based case-control study including children with autism (AU) or the broader diagnosis of autism spectrum disorder (ASD), typically developing (TD) control children selected from the general population, and their families. Children enrolled in the study met the following criteria: 1) They were between the ages of 24 and 60 months, 2) Lived with at least one biologic parent, 3) Had a parent who spoke English or Spanish, 4) Were born in the state of California, and 5) Resided in the catchment areas of a specified list of Regional Centers in Northern California. This study protocol followed the ethical guidelines of the most recent Declaration of Helsinki (Enserink, 2000) and was approved by the institutional review boards at the University of California, Davis and The State of California Department of Developmental Services. Informed consent was obtained prior to participation.

The subject population in the current study consisted of children with a diagnosis of full AU (n=207), the broader phenotype of ASD (n=70), and age-matched TD control children (n=189). Children with an autism disorder were subcategorized into a group of subjects with full autism (AU; met strict diagnostic criteria on ADI-R and ADOS) and a group of subjects with a broader diagnosis of autism spectrum disorder (ASD; met most but not all criteria on the ADI-R and ADOS) (Table 1). For the duration of the paper, autism (AU) will refer to those children with a strict autism diagnosis, autism spectrum disorder (ASD) will refer those children with a broader diagnosis, and autism spectrum disorders (no acronym) will be inclusive for both AU and ASD. AU and ASD diagnoses were confirmed for all cases using the Autism Diagnostic Interview-Revised (ADI-R) (Lord et al., 1997; Lord et al., 1994) and the Autism Diagnostic Observation Schedule, modules 1, 2, and 3 (ADOS) (Lord et al., 2000b). The ADI-R provides a standardized, semi-structured interview and a diagnostic algorithm for the DSM-IV (American Psychiatric Association, 1994) and the ICD-10 definitions of autism (World Heath Organization, 2006). The ADOS is a standardized assessment in which a trained researcher observes the social interaction, communication, play and imaginative use of materials for children suspected of having autism. TD controls were evaluated using the Social Communication Questionnaire (SCQ) (Rutter M, 2003) to determine whether autism traits were present and if administration of the ADI-R and ADOS was appropriate. In all children, cognitive function was measured using the Mullen Scales of Early Learning (MSEL) (Mullen, 1995) and adaptive function was evaluated using the Vineland Adaptive Behavior Scales (VABS) (Sparrow, 1984). All children in the current study were assessed by research-reliable clinical faculty for diagnostic consistency. Finally, all participating families completed the Aberrant Behavior Checklist (ABC) prior to their clinical visit. The ABC is a standardized checklist designed to rate inappropriate and maladaptive behaviors in children (Aman MG, 1994). Subjects were diagnosed as AU, ASD, or TD based on the criteria described in Table 1.

Table 1
Subject demographics and diagnosis

Sample Collection and Processing

A sample of 8.5ml of blood was collected from each child and maternal subject into citrate Vacutainer tubes (BD, Franklin Lakes, NJ). Whole blood was centrifuged for 10 minutes at 2300 rpm, and plasma samples were aliquoted, and stored at −80° C until use.

Brain Protein Preparation

Rhesus macaque cerebellum protein medleys were used to probe child plasma samples for anti-brain IgG reactivity. Though other brain regions are known to be a target of IgG in children with autism, we opted to use cerebellum proteins because they provide the most consistently reliable target protein preparation in children with an autism spectrum disorder (Cabanlit et al., 2007; Wills et al., 2009). Rhesus macaque fetal brain protein medleys were utilized to probe maternal plasma for anti-brain IgG reactivity based upon independent studies by our laboratory and others that demonstrated a high degree of specificity for maternal antibodies to fetal brain in autism (Braunschweig et al., 2008; Zimmerman et al., 2007). Monkey brain specimens were acquired through the University of California, Davis Primate Center and prepared in our laboratory. Whole cerebellum was obtained from two healthy adult male Rhesus monkeys, and a whole fetal brain was obtained from a gestational day 152 Rhesus macaque. To prepare the protein medleys, 1.0 g of fresh brain tissue was suspended in 10mL of 20mM HEPES-OH, pH 7.5, containing 320mM sucrose, 1mM EDTA, 5mM DTE, protease inhibitors (1mM PMSF and Roche Complete™ protease inhibitor), and phosphatase inhibitors (0.2mM Na2VO3 and 1mM NaF). The suspension was homogenized using a Teflon/potter homogenizer and centrifuged at 800g for 10 min to remove nuclei and undissolved material. Protein medleys were then diluted ten-fold with 50mM Tris-HCl, pH 6.8, containing 25% glycerol and 1% lithium dodecyl sulfate (LDS). The final protein products were reconcentrated to 12.5 mg/mL using Amicon® Ultra-4 centrifugal filter devices (Millipore, Billerica, MA).

A commercially available human cerebellum protein medley (Clontech, Mountain View, CA) was used to demonstrate that the plasma IgG targets in monkey cerebellum are also present in the human cerebellum. Similar comparisons have previously demonstrated that the IgG targets in the fetal brain are conserved between monkey and human specimens (Braunschweig et al., 2010).

Western Blotting

Plasma IgG reactivity to brain proteins was measured using western blot technology. 300μg/ml of brain extracts and 5μl of Magic Mark protein standard (Invitrogen, Carlsbad, CA) were loaded into 4-12% gradient prep-well Nu-PAGE Bis-Tris gels (Invitrogen, Carlsbad, CA) and electrophoresed at 200 volts for 1hr. After gel electrophoresis, proteins were transferred at 50 volts for 16 hours to a nitrocellulose membrane. The membranes were then blocked with casein in PBS (Thermo Scientific, Rockford, IL) for 30 minutes at room temperature. Membranes were cut into vertical strips, and each strip was incubated with a sample of maternal or child plasma diluted 1:400 in 5% casein in PBS plus 0.05%Tween (PBST) for 2 hours at room temperature. Strips were washed 5 times for 5 min durations with PBST, followed by a 30 minute incubation with horseradish peroxidase-conjugated goat anti-human IgG secondary (Zymed, San Francisco, CA) diluted 1:20,000. After washing, the signal was developed using a 5-minute incubation with SuperSignal Chemiluminescent Substate (Pierce, Rockford, IL). Bands were visualized using a FluorChem 8900 imager and AlphaEaseFC imaging software. (Alpha Innotech Corporation, San Leandro, CA).Positive and negative control reference standards were run on each blot.

To demonstrate that the autoantibody targets in the Rhesus macaque cerebellum are also present in the human cerebellum, we utilized a 4-12% gradient 10-well Nu-PAGE Bis-Tris gel (Invitrogen, Carlsbad, CA) and analyzed the two protein medleys side-by-side. Plasma IgG reactivity to human and monkey cerebellum proteins was analyzed using the same blotting protocol described above.

The presence of bands and the molecular weights were determined using the AlphaEaseFC software. The relative migration (Rf) of the molecular weight markers was calculated by defining the position of the loading well (start point for protein migration) and the location of the dye front (end-point). The molecular weights of protein bands in plasma samples were determined by applying a point-by-point curve fit to the Rf of the molecular weight markers. Bands were considered to be the same between samples when less than 4% difference was observed in Rf, and the threshold for assigning the presence of a band was a two-fold higher densitometry reading above background on the strip.

Statistical Analysis

Data analysis was performed using SAS software. A probability value (p) of less than 0.05 was considered to be significant. Fischer’s exact tests were performed to determine significance for IgG reactivity to brain proteins in AU, ASD, and TD child and maternal groups, and nonparametric Spearman rank correlation coefficients with a 95% confidence interval were used to analyze patterns of familial anti-brain IgG reactivity in child/mother pairs. Wilcoxan rank-sum tests were used to determine the association between the presence of brain-directed antibodies and variations in scores on behavioral, cognitive, and adaptive assessments. Bonferroni corrections were made for multiple comparisons.

RESULTS

Cerebellum-targeted autoantibodies in children

Plasma from children with AU, ASD, and TD controls was screened for autoantibodies towards proteins isolated from adult Rhesus macaque cerebellum by western blot. Two immunoreactive targets within the cerebellum appeared significantly more often among AU and ASD groups compared to controls (Table 2, Figures Figures11--3).3). Children with AU were found to have a significantly higher incidence of autoantibodies directed towards a 45 kDa cerebellum protein compared to the TD group (9.7% in AU, 3.6% in TD, p=0.017) (Figure 1). When the broader phenotype ASD subjects were combined with the AU group and compared to TD controls, the association remained significant (p=0.025). When the ASD group was considered separately from the AU group, there was a trend for an increased presence of autoantibodies towards the 45 kDa protein in the ASD group (7.1% vs. 3.6%), but this did not quite reach statistical significance (p = 0.07). The presence of autoantibodies directed towards an additional protein at 62 kDa was found to be associated with an ASD diagnosis (Figure 2). 16% of subjects with ASD had IgG reactivity towards the 62 kDa protein, compared to 8.2% of both TD subjects (p=0.04) and AU subjects (p=0.04). The 45 kDa and 62 kDa targets discovered in the monkey cerebellum were also present in human cerebellum (Figure 3). Further, the original study by Wills, et al (Wills et al., 2009) describing a specific band of interest at 52 kDa utilized a non-gradient 12% gel and a different molecular weight marker system than was used in the current study. After retesting several of the plasma samples included in the original study with our new, more refined western blot platform, we determined that what was thought to be a band at 52kDa, was indeed the band described to be 45kDa herein (Figure 3).

Figure 1
IgG directed towards a 45kDa cerebellum protein in children with autism (AU)
Figure 2
IgG directed towards a 62kDa cerebellum protein in children with the broader diagnosis of autism spectrum disorder (ASD)
Figure 3
45kDa and 62kDa cerebellum protein targets are conserved between human and monkey specimens
Table 2
IgG reactivity towards the cerebellum in children n(%)

Several additional cerebellum proteins were found to be targeted by IgG in plasma from AU, ASD, and TD groups. In addition to the 45 kDa and 62 kDa proteins, subjects demonstrated varied auto-reactivity towards proteins with the following molecular weights: 31, 33, 38, 40, 47, 48, 55, 60, 68, 70, 80, 100, 120, 220 kDa. None of these targets were found to associate significantly with an AU, ASD, or TD diagnosis. The total number of cerebellum proteins for which children were seropositive was not found to be significantly different between AU (mean targets: 1.46), ASD (mean targets; 1.74) and TD (mean targets: 1.47) groups.

Finally, we analyzed whether having auto-reactivity towards the 45 or 62kDa cerebellum protein was associated with scores on behavioral and developmental assessments including the ADI-R, ADOS, ABC, MSEL, and VABS. No significant associations were found between scores on the ADOS or ADI-R and anti-cerebellum autoantibodies. However, in contrast, we found that children with autoantibodies directed against the 45 kDa protein (regardless of AU, ASD, or TD diagnosis) had significantly more impaired scores on the ABC Lethargy subscale (p=0.05), the ABC Stereotypy subscale (p=0.01), the MSEL composite standard score (p=0.005), and the VABS composite standard score (p=0.0008) compared to children without reactivity to the 45kDa protein (Table 3). Children with reactivity towards the 62kDa protein had more impaired scores on the ABC Inappropriate Speech subscale compared to children without 62kDa reactivity (p=0.04) regardless of an AU, ASD, or TD diagnosis. Further, ASD children with reactivity to the 62kDa protein had more aberrant behavior scores on the total ABC (p=0.02), ABC Lethargy subscale (p=0.01), and ABC Stereotypy subscale (p=0.01) compared to ASD children without reactivity. Finally, TD children with reactivity to the 62 kDa protein scored lower on the VABS composite compared to TD children without IgG (p=0.02) (Table 4).

Table 3
Significant behavioral associations for children with and without IgG reactivity towards the 45 kDa protein
Table 4
Significant behavioral associations for children with and without IgG reactivity towards the 62 kDa protein

Fetal brain-targeted antibodies in mothers of AU, ASD, and TD children

To determine the potential relationship between brain-reactive antibodies in mothers and their offspring, plasma was collected from the mothers of the AU, ASD, and TD children, and probed for IgG reactivity to fetal brain proteins using western blot. Several targets of maternal IgG were found to be significantly associated with an AU or ASD diagnosis for the child (Table 5).

Table 5
IgG reactivity towards the fetal brain in mothers, n (%)

Maternal IgG reactivity to two fetal brain proteins at 37kDa and 73kDa was significantly associated with an AU and ASD diagnosis for the child, where 10.8% of mothers with an AU child, 4.6% of mothers with an ASD child, and 0% of mothers with a TD child demonstrated IgG reactivity towards both proteins (for AU vs TD, p<0.0001; for ASD vs TD, p=0.01; and for AU+ASD vs TD, p<0.0001).

Additionally, maternal IgG reactivity to fetal brain proteins at 39 kDa and 73 kDa was also associated with an AU or ASD diagnosis for the child. where 7.7% of mothers with an AU child, 12.3 % of mothers with an ASD child, and 1.7% of mothers with a TD child harbored IgG specific for both proteins, (for AU vs TD, p=0.0069; for ASD vs TD, p=0.001; and for AU+ASD vs TD, p=0.0015).

When reactivity to individual bands was considered, maternal IgG specific for the 37 kDa and 39 kDa proteins was only significantly associated with an AU or ASD diagnosis when there was simultaneous reactivity to the 73kDa protein. Likewise, mothers who were positive for IgG to the 73 kDa protein, but negative for IgG targeting the 37 and 39 kDa proteins, did not have a significantly higher chance of having a child with AU or ASD. Therefore, similar to previous reports, maternal antibodies targeting the 37, 39, and 73 kDa proteins are only significantly associated with an AU or ASD diagnosis when there is simultaneous IgG reactivity to 37/73 kDa proteins or 39/73 kDa proteins (Braunschweig et al., 2008; Braunschweig et al., 2010) (Table 5).

Finally, mothers demonstrated IgG reactivity to several additional fetal brain proteins that did not correlate with diagnosis. These proteins had molecular weights of 42, 49, 60, 80, and 100 kDa. The total number of proteins that were targets of maternal IgG was also counted for each maternal subject. Mothers of AU and ASD children had significantly more IgG targets in the fetal brain compared to mothers of TD children (1.64 for mothers of AU, 1.59 for mothers of ASD, 1.15 for mothers of TD; AU vs TD p<0.001; ASD vs TD p=0.003).

Familial associations for anti-brain antibodies in mother and child subjects

Data collected from mother and child subject pairs were compared to determine if familial associations exist for antibody reactivity towards brain. No significant familial association was found between the definitive maternal autoantibodies to fetal brain proteins and the presence of autoantibodies to cerebellum in their respective offspring. Namely, mothers with IgG reactivity towards the 37/73 kDa protein pairs or the 39/73 kDa protein pairs (which are significantly associated with an AU and ASD diagnosis) were not more likely to have children with IgG reactivity to the 45 kDa or the 62 kDa proteins (which are also significantly associated with an AU or ASD diagnosis). Some minor familial associations were found for IgG reactivity towards the 62 kDa protein in children and IgG reactivity towards the individual 37 kDa or 39 kDa proteins in mothers (in the absence of IgG reactivity towards the 73kDa protein). Specifically, ASD children with IgG reactivity towards the 62 kDa protein were more likely to have mothers with IgG reactivity towards the 37 kDa protein (p=0.022), and in AU families, IgG reactivity towards the 62 kDa protein in children was associated with antibodies towards the 39 kDa protein in their mothers (p=0.044). When we considered the overall number of brain proteins that were recognized by IgG, there was a positive association between mothers and children only in the TD population (p = 0.0036). Additionally, the total number of IgG targets in TD children correlated significantly with the incidence of having maternal IgG reactivity to the 37kDa protein alone (p = 0.029).

DISCUSSION

This study had two primary goals: 1) To further characterize the occurrence of autoantibodies to cerebellum in children with autism spectrum disorders with respect to behavioral outcome, and (2) To ascertain if an association exists between the presence of brain-directed autoantibodies in children and the presence of brain-directed antibodies in their respective mothers. Autoantibody profiles differed between children with autism (AU), the broader phenotype of autism spectrum disorder (ASD), and typically developing (TD) controls. Moreover, we demonstrated for the first time that children harboring these antibodies had more impaired behavioral scores as well as lower cognitive and adaptive function compared to children without the antibodies. In addition, as previously reported, mothers of children with AU and ASD show a unique pattern of antibody reactivity to fetal brain proteins compared to mothers of TD children (Braunschweig et al., 2008; Braunschweig et al., 2010; Croen et al., 2008; Zimmerman et al., 2007). Familial analysis showed a very limited relationship between anti-brain antibodies in plasma from mothers and their children, though this relationship did not extend to the definitive patterns of maternal autoantibodies associated with an AU or ASD diagnosis. This suggests that while there may be some familial propensity for autoantibody production, autism spectrum disorder-associated autoantibodies observed in mothers and children largely occur in different families.

Independent studies have described the presence of autoantibodies directed against various brain proteins in individuals with an autism spectrum disorder (Enstrom et al., 2009b). We previously characterized autoantibodies towards cerebellum proteins in a smaller group of AU subjects (Wills et al., 2009). The results of the present study differ to some extent from the Wills study. First, Wills et al. originally showed that plasma IgG directed towards a 52 kDa cerebellum protein (rather than 45 kDa protein) correlated with an autism diagnosis. This has now been explained by differences in gel systems as noted in the results section. Second, we observed a lower incidence of IgG reactivity to the cerebellum in children with autism in the present study (10% versus 21%). This difference may be attributable to several factors including 1) an increased sample size, which may have revealed a more accurate estimation of the occurrence of brain-directed antibodies among autism subjects, and/or 2) the use of younger study subjects (mean age of 3.5 years compared to 6 years in Wills et al.) A longitudinal analysis of the same children over time would help to clarify this issue.

This is the first study to examine specific behavioral phenotypes associated with the presence of brain-targeted antibodies in autism spectrum disorders. We demonstrate that children diagnosed with either AU or ASD tend to have divergent IgG targets in the cerebellum; AU children showed significant IgG reactivity towards a 45kDa protein, while ASD children showed reactivity towards a 62kDa protein. One explanation for this difference may be that these proteins are involved in a pathway that impacts behavioral traits, and that interfering the 62kDa protein may lead to a less severe phenotype than interfering with the 45kDa protein.

In addition to the differences observed between AU and ASD groups, we found that children with these autoantibodies had significantly more impaired behavioral, cognitive and adaptive traits than children without the autoantibodies. In many cases, this difference was observed regardless of diagnosis. This suggests that rather than representing a specific marker of autism, these antibodies might somehow be linked to specific behavioral outcomes associated with, but not specific to, autism spectrum disorders. Future studies should examine the occurrence of these antibodies in neurodevelopmental diseases other than autism disorder. A small number of typically developing children also had the antibodies, and it is possible that additional environmental exposures and/or genetic factors are necessary for the development of full AU or ASD. Previous studies have similarly shown that differences in other immune factors such as cytokines levels and total IgG correlate with behavioral severity among children with an autism spectrum disorder (Ashwood et al., 2008a; Ashwood et al., 2008b; Grigorenko et al., 2008; Heuer, 2008). It is unclear whether these differences in immune measures are responsible for variations in behavioral characteristics, or if they are a secondary manifestation of other factors involved in the disease. Collectively, these studies illustrate that biological factors can be linked to specific behavioral characteristics; an observation that can perhaps help differentiate ontogenic mechanisms specific to the varying phenotypes within the autism spectrum.

The clinical and mechanistic significance of these brain directed antibodies is not known, and further research is necessary to explore this issue. First, it should be made clear that it is likely that the target antigens for these autoantibodies are not restricted to the cerebellum (as noted in the study by Cabanlit, et al(Cabanlit et al., 2007)), and ongoing studies to further examine this possibility are in progress. In addition, it is not entirely clear how a cerebellum-directed immune responses might relate to behavioral abnormalities common in autism spectrum disorders. It is possible that the antibodies observed herein interfere with normal neuronal processes, or are indicative of abnormal cerebellar function. The study by Wills et al (Wills et al., 2009) described a very particular staining pattern for antibodies reactive to the 52kDa antigen also reacted against the Golgi interneurons in the Purkinje layer of the cerebellum. These cells act as down-regulators of the excitatory synapses in the granule cell layer of the cerebellum, which impacts the activity of Purkinje cells, and interfering with this pathway could lead to various motor and behavioral abnormalities (Hirano et al., 2002). Other studies have described cerebellar abnormalities in individuals with an autism spectrum disorder, including reduced numbers of Purkinje cells in post-mortem brains (Bailey et al., 1998; Kemper and Bauman, 2002). Further, injury to the cerebellum and alterations in cerebellar development are associated with reduced cognitive function, impaired language, and increased stereotypic behaviors (Gillig and Sanders, 2010; Martin et al., 2010; Steinlin, 2008). For example, mice lacking Purkinje cells demonstrate increased repetitive behaviors (Martin et al., 2010). Stereotypic behavior, cognition, and language were all found to be more severely affected in children harboring the cerebellum-directed antibodies.

Another critical issue is whether these antibodies are pathogenic on their own or if they are secondary to pathology. In order to be pathogenic, the antibodies must gain access to the central nervous system (CNS). Under normal circumstances, large molecules such as IgG and other immune components are largely excluded from the CNS by the blood-brain-barrier (BBB). However, infectious and environmental factors can increase permeability of the BBB allowing immune components to enter the CNS. Examples of exposures that compromise the integrity of the BBB include pertussis toxin, extreme stress, sub-clinical infection, and exposure to nicotine or epinephrine (Hawkins et al., 2004; Kuang et al., 2004; Kugler et al., 2007; Theoharides and Konstantinidou, 2007). It is possible that TD children with the autoantibodies may not have had the required insult that would allow passage of the autoantibodies to the neuronal targets.

Once in the brain, autoantibodies can act through various pathogenic mechanisms. First, they can mimic receptor ligands and induce excitotoxic death through excessive signaling. This has been demonstrated in individuals with systemic lupus erythematosus (SLE) accompanied by cognitive and neuropsychiatric symptoms (Kowal et al., 2004). In these subjects, DNA-specific antibodies are able to cross-react with the NMDA receptor for glutamate, and administration of these antibodies to mice with a compromised blood brain barrier (BBB) leads to cognitive impairments and apoptotic neuronal death (Huerta et al., 2006). Autoantibodies to neural antigens might also block vital pathways and compromise the development and function of the nervous system. Alternatively, autoantibodies can cause tissue destruction by fixing complement or inducing cell-mediated death. Studies involving passive transfer of these antibodies in animal models will be essential to explore their pathogenic significance.

Alternatively, it is entirely possible that these antibodies were produced as a result of previous neuronal injury, and may not have pathogenic significance on their own. An event in the CNS (perhaps an infection or injury) could have altered the course of neurodevelopment leading to an autism disorder; and simultaneously spurred an immune reaction that caused a break in immune tolerance towards CNS antigens. The antibodies produced in the course of such an event may or may not have pathogenic properties on their own. If these antibodies are not pathogenic, they still represent a potentially valuable biological marker for a subset of autism spectrum disorders and/or autism-associated behaviors. Since the underlying biology of behavioral disorders like autism remains poorly understood, the discovery of any biological connection could be of interest; even one that is secondary to pathology/etiology. Further, if autism behaviors are the result of neuronal injury, and antibodies are produced as a secondary result of this neuronal injury, the antibodies may serve to point researchers towards specific neuronal components/processes that may be involved in the neuropathology. Identification of the 45kDa and 62kDa antigens will be an important step towards understanding their role in autism spectrum disorders.

Independent studies have shown that a subset of mothers of children with autism harbor circulating IgG directed towards fetal brain proteins (Braunschweig et al., 2008; Croen et al., 2008; Singer et al., 2008; Zimmerman et al., 2007). This is in contrast to children with AU or ASD, who demonstrate IgG reactivity to the mature brain rather than the fetal brain (Cabanlit et al., 2007; Morris et al., 2009; Singer et al., 2006; Wills et al., 2009). The mothers included in this study demonstrated IgG reactivity to fetal brain proteins as previously described (Braunschweig et al., 2008; Braunschweig et al., 2010; Croen et al., 2008). Previous primate and murine studies have demonstrated the potential pathogenic significance of maternal anti-fetal brain antibodies, where prenatal exposure to purified IgG from mothers of children with autism resulted in behavioral alterations that were not observed in controls (Martin et al., 2008; Singer et al., 2009). Our final analysis in the current study was designed to determine if there was a familial (maternal/child) relationship for brain-directed antibodies. Our results show very limited relationships between the anti-brain autoantibodies in AU, ASD, and TD mother-child pairs. Interestingly, we found that the overall presence of brain-directed antibodies in maternal plasma has a higher degree of association with an AU or ASD diagnosis than brain directed antibodies in children. It may be that exposure to anti-brain antibodies during gestation is more detrimental to neurodevelopment than exposure to anti-brain antibodies in early childhood. Additionally, the presence of the autoantibodies found in the children may not be sufficient on their own to cause a pathologic insult, or may simply be the result of previous damage through other mechanisms.

In summary, we describe the presence of autoantibodies to proteins in a large well-characterized population of children and their mothers. We further demonstrated that reactivity to specific proteins within the cerebellum was associated with a diagnosis of AU or ASD. Additionally, the presence of these antibodies was linked with more aberrant behaviors and lower cognitive and adaptive function regardless of diagnosis, suggesting a potential association with some features of autism rather than an autism spectrum disorder specifically. Finally, we found limited familial associations for specific patterns of anti-brain antibodies in AU, ASD, and TD mother-child pairs. Future studies will strive to identify the autoantibody targets in the cerebellum and fetal brain, characterize their pathologic significance with respect to autism, and determine whether the development of therapeutic measures would be warranted.

  • Plasma autoantibodies for 45kDa cerebellar protein associate with an autism diagnosis.
  • Plasma autoantibodies for 62kDa protein associate with broader diagnosis of ASD.
  • Children with autoantibodies had worse behavioral scores than children without them.
  • Few familial associations found for brain-targeted antibodies in children and mothers.
  • Antibodies may be markers for specific behavioral characteristics of autism.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Conflict of Interest Statement: All authors declare that there are no conflicts of interest.

REFERENCES

  • Aman MG. Aberrant Behavior Checklist-Community. Supplementary Manual. Slosson Educational Publications; East Aurora, NY: 1994. S.N.
  • American Psychiatric Association Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association; Washington DC: 1994.
  • Ashwood P, Anthony A, Torrente F, Wakefield AJ. Spontaneous mucosal lymphocyte cytokine profiles in children with autism and gastrointestinal symptoms: mucosal immune activation and reduced counter regulatory interleukin-10. J Clin Immunol. 2004;24:664–673. [PubMed]
  • Ashwood P, Enstrom A, Krakowiak P, Hertz-Picciotto I, Hansen RL, Croen LA, Ozonoff S, Pessah IN, de Water JV. Decreased transforming growth factor beta1 in autism: A potential link between immune dysregulation and impairment in clinical behavioral outcomes. J Neuroimmunol. 2008a [PMC free article] [PubMed]
  • Ashwood P, Kwong C, Hansen R, Hertz-Picciotto I, Croen L, Krakowiak P, Walker W, Pessah IN, Van de Water J. Brief report: plasma leptin levels are elevated in autism: association with early onset phenotype? J Autism Dev Disord. 2008b;38:169–175. [PubMed]
  • Ashwood P, Van de Water J. Is autism an autoimmune disease? Autoimmun Rev. 2004;3:557–562. [PubMed]
  • Ashwood P, Wills S, Van de Water J. The immune response in autism: a new frontier for autism research. J Leukoc Biol. 2006;80:1–15. [PubMed]
  • Bailey A, Luthert P, Dean A, Harding B, Janota I, Montgomery M, Rutter M, Lantos P. A clinicopathological study of autism. Brain. 1998;121(Pt 5):889–905. [PubMed]
  • Braunschweig D, Ashwood P, Krakowiak P, Hertz-Picciotto I, Hansen R, Croen LA, Pessah IN, Van de Water J. Autism: maternally derived antibodies specific for fetal brain proteins. Neurotoxicology. 2008;29:226–231. [PMC free article] [PubMed]
  • Braunschweig D, Duncanson P, Boyce R, Hansen R, Ashwood P, Pessah I, Hertz-Picciotto I, Van de Water J. Temporal Expression and Cross-Species Conservation of Maternal Antibody Targets in Autism. Journal of Neuroimmunology. 2010 submitted.
  • Cabanlit M, Wills S, Goines P, Ashwood P, Van de Water J. Brain-specific autoantibodies in the plasma of subjects with autistic spectrum disorder. Ann N Y Acad Sci. 2007;1107:92–103. [PubMed]
  • Church AJ, Cardoso F, Dale RC, Lees AJ, Thompson EJ, Giovannoni G. Anti-basal ganglia antibodies in acute and persistent Sydenham’s chorea. Neurology. 2002;59:227–231. [PubMed]
  • Connolly AM, Chez MG, Pestronk A, Arnold ST, Mehta S, Deuel RK. Serum autoantibodies to brain in Landau-Kleffner variant, autism, and other neurologic disorders. Journal of Pediatrics. 1999;134:607–613. [PubMed]
  • Croen LA, Braunschweig D, Haapanen L, Yoshida CK, Fireman B, Grether JK, Kharrazi M, Hansen RL, Ashwood P, Van de Water J. Maternal mid-pregnancy autoantibodies to fetal brain protein: the early markers for autism study. Biol Psychiatry. 2008;64:583–588. [PMC free article] [PubMed]
  • Croen LA, Grether JK, Yoshida CK, Odouli R, Van de Water J. Maternal autoimmune diseases, asthma and allergies, and childhood autism spectrum disorders: a case-control study. Arch Pediatr Adolesc Med. 2005;159:151–157. [PubMed]
  • Enserink M. Bioethics. Helsinki’s new clinical rules: fewer placebos, more disclosure. Science. 2000;290:418–419. [PubMed]
  • Enstrom A, Krakowiak P, Onore C, Pessah IN, Hertz-Picciotto I, Hansen RL, Van de Water JA, Ashwood P. Increased IgG4 levels in children with autism disorder. Brain Behav Immun. 2009a;23:389–395. [PMC free article] [PubMed]
  • Enstrom AM, Onore CE, Van de Water JA, Ashwood P. Differential monocyte responses to TLR ligands in children with autism spectrum disorders. Brain Behav Immun. 2010;24:64–71. [PMC free article] [PubMed]
  • Enstrom AM, Van de Water JA, Ashwood P. Autoimmunity in autism. Curr Opin Investig Drugs. 2009b;10:463–473. [PubMed]
  • Gillig PM, Sanders RD. Psychiatry, neurology, and the role of the cerebellum. Psychiatry (Edgmont) 2010;7:38–43. [PubMed]
  • Grigorenko EL, Han SS, Yrigollen CM, Leng L, Mizue Y, Anderson GM, Mulder EJ, de Bildt A, Minderaa RB, Volkmar FR, Chang JT, Bucala R. Macrophage migration inhibitory factor and autism spectrum disorders. Pediatrics. 2008;122:e438–445. [PubMed]
  • Hawkins BT, Abbruscato TJ, Egleton RD, Brown RC, Huber JD, Campos CR, Davis TP. Nicotine increases in vivo blood-brain barrier permeability and alters cerebral microvascular tight junction protein distribution. Brain Res. 2004;1027:48–58. [PubMed]
  • Heuer L, Paul Ashwood, Joseph Schauer, Paula Goines, Paula Krakowiak, Irva Hertz-Picciotto, Robin Hansen, Croen Lisa A., Pessah Isaac N., Van de Water Judy. Reduced Levels of Immunoglobulin in Children With Autism Correlates With Behavioral Symptoms. Autism Research. 2008;1:275–283. [PMC free article] [PubMed]
  • Hirano T, Watanabe D, Kawaguchi SY, Pastan I, Nakanishi S. Roles of inhibitory interneurons in the cerebellar cortex. Ann N Y Acad Sci. 2002;978:405–412. [PubMed]
  • Huerta PT, Kowal C, DeGiorgio LA, Volpe BT, Diamond B. Immunity and behavior: antibodies alter emotion. Proc Natl Acad Sci U S A. 2006;103:678–683. [PubMed]
  • Kemper TL, Bauman ML. Neuropathology of infantile autism. Mol Psychiatry. 2002;7(Suppl 2):S12–13. [PubMed]
  • Kowal C, DeGiorgio LA, Nakaoka T, Hetherington H, Huerta PT, Diamond B, Volpe BT. Cognition and immunity; antibody impairs memory. Immunity. 2004;21:179–188. [PubMed]
  • Kuang F, Wang BR, Zhang P, Fei LL, Jia Y, Duan XL, Wang X, Xu Z, Li GL, Jiao XY, Ju G. Extravasation of blood-borne immunoglobulin G through blood-brain barrier during adrenaline-induced transient hypertension in the rat. Int J Neurosci. 2004;114:575–591. [PubMed]
  • Kugler S, Bocker K, Heusipp G, Greune L, Kim KS, Schmidt MA. Pertussis toxin transiently affects barrier integrity, organelle organization and transmigration of monocytes in a human brain microvascular endothelial cell barrier model. Cell Microbiol. 2007;9:619–632. [PubMed]
  • Le Couteur A, Haden G, Hammal D, McConachie H. Diagnosing autism spectrum disorders in pre-school children using two standardised assessment instruments: the ADI-R and the ADOS. J Autism Dev Disord. 2008;38:362–372. [PubMed]
  • Lord C, Cook EH, Leventhal BL, Amaral DG. Autism spectrum disorders. Neuron. 2000a;28:355–363. [PubMed]
  • Lord C, Pickles A, McLennan J, Rutter M, Bregman J, Folstein S, Fombonne E, Leboyer M, Minshew N. Diagnosing autism: analyses of data from the Autism Diagnostic Interview. J Autism Dev Disord. 1997;27:501–517. [PubMed]
  • Lord C, Risi S, Lambrecht L, Cook EH, Jr., Leventhal BL, DiLavore PC, Pickles A, Rutter M. The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism. J Autism Dev Disord. 2000b;30:205–223. [PubMed]
  • Lord C, Rutter M, Le Couteur A. Autism Diagnostic Interview-Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. J Autism Dev Disord. 1994;24:659–685. [PubMed]
  • Martin LA, Ashwood P, Braunschweig D, Cabanlit M, Van de Water J, Amaral DG. Stereotypies and hyperactivity in rhesus monkeys exposed to IgG from mothers of children with autism. Brain Behav Immun. 2008;22:806–816. [PubMed]
  • Martin LA, Goldowitz D, Mittleman G. Repetitive behavior and increased activity in mice with Purkinje cell loss: a model for understanding the role of cerebellar pathology in autism. Eur J Neurosci. 2010;31:544–555. [PMC free article] [PubMed]
  • Meilleur AA, Fombonne E. Regression of language and non-language skills in pervasive developmental disorders. J Intellect Disabil Res. 2009;53:115–124. [PubMed]
  • Micali N, Chakrabarti S, Fombonne E. The broad autism phenotype: findings from an epidemiological survey. Autism. 2004;8:21–37. [PubMed]
  • Morris CM, Zimmerman AW, Singer HS. Childhood serum anti-fetal brain antibodies do not predict autism. Pediatr Neurol. 2009;41:288–290. [PubMed]
  • Mostafa GA, Kitchener N. Serum anti-nuclear antibodies as a marker of autoimmunity in Egyptian autistic children. Pediatr Neurol. 2009;40:107–112. [PubMed]
  • Mullen EM. Mullen Scales of Early Early Learning. American Guidance Service, Inc.; Circle Pines, MN: 1995.
  • Onore C, Enstrom A, Krakowiak P, Hertz-Picciotto I, Hansen R, Van de Water J, Ashwood P. Decreased cellular IL-23 but not IL-17 production in children with autism spectrum disorders. J Neuroimmunol. 2009;216:126–129. [PMC free article] [PubMed]
  • Ozonoff S, Iosif AM, Baguio F, Cook IC, Hill MM, Hutman T, Rogers SJ, Rozga A, Sangha S, Sigman M, Steinfeld MB, Young GS. A prospective study of the emergence of early behavioral signs of autism. J Am Acad Child Adolesc Psychiatry. 2010;49:256–266. e251–252. [PMC free article] [PubMed]
  • Pardo CA, Eberhart CG. The neurobiology of autism. Brain Pathol. 2007;17:434–447. [PubMed]
  • Pardo CA, Vargas DL, Zimmerman AW. Immunity, neuroglia and neuroinflammation in autism. Int Rev Psychiatry. 2005;17:485–495. [PubMed]
  • Rutter M, Berument SK, Lord C, Pickles A. Social Communication Questionnaire (SCQ) Western Psychological Services; Los Angeles: 2003. B.A.
  • Silva SC, Correia C, Fesel C, Barreto M, Coutinho AM, Marques C, Miguel TS, Ataide A, Bento C, Borges L, Oliveira G, Vicente AM. Autoantibody repertoires to brain tissue in autism nuclear families. J Neuroimmunol. 2004;152:176–182. [PubMed]
  • Simister NE. Placental transport of immunoglobulin G. Vaccine. 2003;21:3365–3369. [PubMed]
  • Singer HS, Morris C, Gause C, Pollard M, Zimmerman AW, Pletnikov M. Prenatal exposure to antibodies from mothers of children with autism produces neurobehavioral alterations: A pregnant dam mouse model. J Neuroimmunol. 2009;211:39–48. [PubMed]
  • Singer HS, Morris CM, Gause CD, Gillin PK, Crawford S, Zimmerman AW. Antibodies against fetal brain in sera of mothers with autistic children. J Neuroimmunol. 2008;194:165–172. [PubMed]
  • Singer HS, Morris CM, Williams PN, Yoon DY, Hong JJ, Zimmerman AW. Antibrain antibodies in children with autism and their unaffected siblings. J Neuroimmunol. 2006;178:149–155. [PubMed]
  • Singh VK, Rivas WH. Prevalence of serum antibodies to caudate nucleus in autistic children. Neurosci Lett. 2004;355:53–56. [PubMed]
  • Sparrow B, Cicchetti Vineland Adaptive Behavior Scales Interview Edition Expanded from Manual. American Guidance Services, Inc.; Circle Pines, MN: 1984.
  • Stefanatos GA. Regression in autistic spectrum disorders. Neuropsychol Rev. 2008;18:305–319. [PubMed]
  • Steinlin M. Cerebellar disorders in childhood: cognitive problems. Cerebellum. 2008;7:607–610. [PubMed]
  • Swedo SE, Leonard HL, Garvey M, Mittleman B, Allen AJ, Perlmutter S, Lougee L, Dow S, Zamkoff J, Dubbert BK. Pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections: clinical description of the first 50 cases. Am J Psychiatry. 1998;155:264–271. [PubMed]
  • Theoharides TC, Konstantinidou AD. Corticotropin-releasing hormone and the blood-brain-barrier. Front Biosci. 2007;12:1615–1628. [PubMed]
  • Vargas DL, Nascimbene C, Krishnan C, Zimmerman AW, Pardo CA. Neuroglial activation and neuroinflammation in the brain of patients with autism. Ann Neurol. 2005;57:67–81. [PubMed]
  • Vojdani A, O’Bryan T, Green JA, McCandless J, Woeller KN, Vojdani E, Nourian AA, Cooper EL. Immune response to dietary proteins, gliadin and cerebellar peptides in children with autism. Nutr Neurosci. 2004;7:151–161. [PubMed]
  • Wills S, Cabanlit M, Bennett J, Ashwood P, Amaral D, Van de Water J. Autoantibodies in autism spectrum disorders (ASD) Ann N Y Acad Sci. 2007;1107:79–91. [PubMed]
  • Wills S, Cabanlit M, Bennett J, Ashwood P, Amaral DG, Van de Water J. Detection of autoantibodies to neural cells of the cerebellum in the plasma of subjects with autism spectrum disorders. Brain Behav Immun. 2009;23:64–74. [PMC free article] [PubMed]
  • World Heath Organization International Statistical Classification of Diseases and Related Health Problems (ICD-10) 2006.
  • Zimmerman AW, Connors SL, Matteson KJ, Lee LC, Singer HS, Castaneda JA, Pearce DA. Maternal antibrain antibodies in autism. Brain Behav Immun. 2007;21:351–357. [PubMed]