Characterizing the Interplay Between Autism Spectrum Disorder and Comorbid Medical Conditions: An Integrative Review

Co-occurring medical disorders and associated physiological abnormalities in individuals with autism spectrum disorder (ASD) may provide insight into causal pathways or underlying biological mechanisms. Here, we review medical conditions that have been repeatedly highlighted as sharing the strongest associations with ASD—epilepsy, sleep, as well as gastrointestinal and immune functioning. We describe within each condition their prevalence, associations with behavior, and evidence for successful treatment. We additionally discuss research aiming to uncover potential aetiological mechanisms. We then consider the potential interaction between each group of conditions and ASD and, based on the available evidence, propose a model that integrates these medical comorbidities in relation to potential shared aetiological mechanisms. Future research should aim to systematically examine the interactions between these physiological systems, rather than considering these in isolation, using robust and sensitive biomarkers across an individual's development. A consideration of the overlap between medical conditions and ASD may aid in defining biological subtypes within ASD and in the development of specific targeted interventions.

Introduction

Autism spectrum disorders (ASD) are a group of complex and heterogeneous developmental conditions characterized by reduced social interaction and communication, as well as restricted range of interests and/or stereotypic behaviors (1, 2). Many of the core cognitive and behavioral symptoms associated with ASD are thought to arise from dysfunction of the central nervous system (3). However, accumulating and converging evidence across several areas of medicine have strongly emphasized comorbid medical conditions and associated peripheral/central physiological abnormalities in children with ASD as providing potential clues to additional etiological factors. Epidemiological evidence indicates that medical disorders are more prevalent in children with ASDs compared to children in the general population (4), with further evidence for specific clusters of medical conditions in ASD (5). Whilst multisystem dysfunction across a range of organs and physiological systems has been proposed in other brain-based conditions (including neurodegenerative disorders, schizophrenia, bipolar disorder and depression), the elevated incidence of medical conditions and associated markers of dysfunction appear to be particularly perturbed in ASD (6). These medical conditions, and accompanying disabilities, can have significant impacts on broader development outcomes, social functioning, and education/employment outcomes. Despite the high prevalence of medical comorbidities in this population, many of these conditions are not routinely screened for in ASD evaluations (7, 8). This may reflect variability in the symptoms expressed by individuals with varying language capacity as well as the ability of health professionals to recognize behavioral symptoms that may be better explained by other medical conditions. In addition to better medical treatment, the increasing understanding of systemic abnormalities in ASD may provide clues to etiological factors as well as identifying biological pathways for more targeted and effective treatments.

Prevalence estimates of medical comorbidities vary greatly depending on the population studied. One of the largest studies of hospital records of children and young adults with ASD in the US found that prevalence estimates of a range of co-morbid disorders, particularly gastrointestinal and seizure disorders, greatly exceeded that compared to the general hospital population (4). Other studies have highlighted greater prevalence of abnormal neurological findings and clinical neuropathology in children with ASD (9). Strikingly, reports indicate elevated mortality ratios of up to 2.4 in ASD (10–12), which is thought to be due to largely due to complications arising from comorbid medical conditions (13). Put another way, premature mortality in individuals with ASDs is over twice the rate of that experienced by the general population (12, 13). Although prevalence estimates for some conditions are higher in studies with smaller samples, the overall evidence suggests that at least 10% of individuals with ASD present with comorbid medical symptoms that require formal medical evaluation (4). This has significant implications for subsequent development, prognosis and treatment plans for individuals and families as well as the additional pressures comorbidities place on health care and disability systems to provide adequate and necessary supports across the lifespan.

There have been several reviews and empirical studies focusing on specific medical, [e.g., (14–17)], behavioral [e.g., (18–20)], and genetic [e.g., (21, 22)] comorbidities of ASD. Here, we review medical disorders that have been repeatedly highlighted as sharing the strongest associations with ASD—epilepsy, sleep problems, gastrointestinal disorders and immune dysfunction—with the purpose of integrating mechanistic theories of their overlap. For each domain, we describe the prevalence and associations with behavior and cognition in ASD, before moving on to focus on work aiming to uncover shared aetiological mechanisms. A proposed mechanistic model integrating ASD and these medical comorbidities is then presented. We argue that a consideration of overlap between medical problems and ASD will provide insight into shared mechanisms and implications for treatment, based on proposed models of comorbidity (Figure 1).

FIGURE 1

Figure 1. Possible models of the association between medical conditions and ASD: (A) Overlap between medical conditions and ASD arises from a common mechanism; (B) Overlap between medical conditions and ASD arises from the independent pathways or cumulative impact of impairments in two or more developmental pathways (possibly subgroups of individuals); (C) Overlap between medical conditions and ASD arises from the effect of medical abnormalities on underling mechanisms, or vice versa. These models are not mutually exclusive and more than one pathway may be involved.

Meta-Synthesis of Theories Underlying Common Medical Comorbidities of ASD

Epilepsy

Prevalence

Epilepsy, defined as two unprovoked seizures of any type, can be extended out to include multiple disorders with various etiologies, pathophysiology and outcomes (23). Prevalence of epilepsy in the general population is between 1 and 2%, whilst general estimates suggest a prevalence of ~25–30% in individuals with ASD by adolescence (24, 25). In particular, two peak periods of epilepsy onset have been described in ASD—one in early childhood and a second in adolescence (26, 27), although prospective longitudinal studies have failed to replicate this bimodal distribution (28). Rates of ASD are higher in certain genetic disorders; for example, 47.4% of individuals with Dravet syndrome meet criteria for ASD, with the main seizure type being focal seizures manifesting in clusters (29). Whilst rates of ASD in tuberous sclerosis complex (TSC) are thought to approach 60%, individuals with TSC often experience different types of seizures (30, 31). Even in the absence of diagnosed epilepsy, there is considerable debate concerning the significance of abnormal electroencephalography (EEG) findings observed in ASD not associated with clinical seizure activity (24). A significant proportion of individuals with ASD display significant EEG paroxysmal abnormalities during sleep without the presence of clinical seizures, with reports as high as 60% (32–34). Retrospective studies indicate similar rates of cognitive impairment and cerebral lesions in ASD patients with abnormal EEGs with and without epilepsy (27). Due to this debate, clinical EEGs are not generally recommended as routine practice for children with ASD unless seizure activity is suspected.

All seizure types appear to be associated with ASD but vary in prevalence depending on the population studied (see Table 1). In a Swedish study, the most prevalent seizures in ASD were complex partial, atypical absence, myoclonic, and tonic-clonic seizures (35); by comparison, an American study reported that generalized tonic-clonic and atypical absence seizures were the most common in ASD (36). Some more recent studies argue that complex partial seizures are most prevalent in ASD (27, 34, 37). Clinically, this latter seizure type is particularly significant as some symptoms of complex partial seizures may be difficult to differentiate from common associated behaviors in ASD, such as not responding to calling name or repetitive movements. Of significance for clinical intervention, it has also been reported that treatment-resistant epilepsy is also of particularly high prevalence in ASD (38). One of the most severe forms of comorbid epilepsy in ASD is epileptic encephalopathy, a process whereby the epileptic activity contributes to severe cognitive and behavioral impairments above and beyond the underlying pathology alone (39, 40). It is characterized by intractable seizures as well as frequent ictal or interictal epileptiform activity (39), which may be idiopathic or syndromic. Infants with epileptic encephalopathy are at a higher risk for an ASD diagnosis and lasting cognitive impairments (41). In particular, 19.9% of children with infantile spasms will have ASD (29).

TABLE 1

Table 1. Overview of studies examining specific seizure types in individuals with ASD.

Of concern, is the increased 2-fold higher mortality rate in individuals with comorbid ASD and epilepsy compared to the general population, which is higher still in females with these comorbidities (11, 13, 42). These studies describe sudden unexpected death due to epilepsy at a higher frequency than expected, indicating that these individuals are likely to require increased medical monitoring to prevent avoidable death over their lifespan.

Associations With Behavior and Cognition in ASD

Research has suggested that there is a relationship between specific symptoms and epilepsy in individuals with ASD. Turk et al. (43) found that a co-morbid diagnosis of ASD and epilepsy led to greater difficulties in in social interactions with peers and unusual eye contact. Those with epilepsy also received an ASD diagnosis later than those who were not diagnosed with epilepsy. Conversely, other studies have found that increased frequency of epilepsy has been associated with an earlier age of ASD diagnosis, higher rates of repetitive object use, and greater unusual sensory interests (44). Viscidi et al. (45) completed a large-scale study showing that children with both epilepsy and ASD displayed significantly more maladaptive behaviors linked to ASD. This included a decrease in scores on social cognition, communication and motivation when compared to ASD patients without epilepsy. Participants with both epilepsy and ASD also display higher levels of self-injurious, compulsive and sameness behaviors. Finally, a meta-analysis of social cognition in epilepsy and autism and found that rates of impaired facial recognition and theory of mind were higher in patients with epilepsy and ASD compared to controls (46). These studies suggest that there is a link between epilepsy and ASD symptoms and cognitive correlates. However, the close relationship with IQ suggests a dynamic interplay between ASD symptoms, and subsequent diagnostic age, IQ, and epilepsy.

Evidence from meta-analyses confirms an overall greater risk for epilepsy in children with ASD and intellectual disability (21.5%) compared to those without comorbid intellectual disability (8%) (47), as well as an increased risk in children with ASD and intellectual disability after the age of 12 years (48). This implies that the neurobiological mechanisms underpinning common associations between epilepsy and ASD may be derived from these subgroups within ASD. Other researchers have also pointed to the relationship between behavioral regression in ASD and greater incidence of epilepsy (49–51). Berg and Pliophys (52) suggest that the role of intellectual disability is so vital that it could explain most, if not all of the relationship between epilepsy and ASD. In a case study of TSC, the child's development was typical until 21 months of age at which seizure onset occurred; by 24 months of age the child met criteria for both ASD and intellectual disability (53). Taken together, this suggests that there is a dynamic interplay between seizures, intellectual disability and ASD with the onset of seizures playing a significant role in developmental regression and ASD diagnostic symptoms.

A diagnosis of comorbid epilepsy and ASD is a negative prognostic indicator, associated with greater risk of poorer outcomes (54). Children with both conditions report lower quality of life, score lower on social maturity scales, and exhibit higher use of psychotropic medications (26, 55, 56), in addition to poorer social outcomes (43). A large prospective follow-up study found significantly higher levels of cognitive impairments in adults followed from childhood, with seizure frequency reported to have the most significant impact on individual functioning (28). Even in children with ASD but without diagnosed epilepsy, EEG abnormalities and seizures have been associated with greater reports of aberrant behavior [(57); see Table 2].

TABLE 2

Table 2. Overview of studies examining behavior and cognitive differences in individuals with ASD and epilepsy.

Treatment Effects

As epilepsy may contribute to elevated mortality rates in ASD, appropriate detection and treatment of elevated seizure activity in individuals with ASD is a clear and urgent treatment need [(48); see Table 3]. Treatment of children with both epilepsy and ASD is based on guidelines aimed at treating childhood epilepsy with anti-epileptic drugs (AEDs), chosen based on seizure type and response to medication. Research into treatments that best control seizures in children with ASD is critical, as some children with ASD appear to be more sensitive to the side effects of AEDs (24). When epileptiform activity is present, therapeutic interventions to reduce seizure activity may also improve language outcomes and ASD symptoms [reviewed in (62)]. Valproic acid, lamotrigine and Levetiacetam are the mostly highly rated AEDs in terms of effectiveness and tolerability in ASD, with valproic acid also found to improve core ASD symptoms (58). While alternative treatments, such as diets (e.g., ketogenic, modified Atkin's or gluten and casein free), have shown some efficacy for treating epilepsy, their suitability and safety for individuals with ASD require further study. Recent treatment advances for syndromic ASD may have particular relevance in improving either or both seizures and symptoms associated with ASD. For example, mTOR inhibitor treatment (Everolimus), associated with reduction in cell proliferation, angiogenesis and glucose uptake, has shown efficacy for some of the physical manifestations of TSC (63). In a case series, treatment with Everolimus was associated with a reduction in the severity and frequency of seizures, as well as improvements in repetitive behavior and social contact (59), although a recent study showed limited effect of everolimus on neuropsychiatric features in children (60). Furthermore, vigabatrin is recommended for children with infantile spasms and TSC, linked to improved later outcomes, including a decrease in adverse cognitive and behavioral outcomes such as ASD (61). Such treatment effects may help to explain the underlying pathophysiology and interaction between genetic mutations, epilepsy and ASD, for example, through normalization of altered brain activity and excitatory/inhibitory balance (see section Aetiological Mechanisms).

TABLE 3

Table 3. An overview of different therapeutic approaches to treating epileptic symptoms in ASD.

Aetiological Mechanisms

Seizure disorders can be due to many causes, including acute or chronic focal or diffuse brain pathology, genetic mutations, metabolic causes, or idiopathic reasons; as such, attempts to identify common causal pathways between ASD and epilepsy have proven to be a complex endeavor. While a number of reports have suggested common neuropathology in children with ASD and epilepsy (64), the vast majority of evidence suggests that epilepsy is not causal to the development of ASD, although the notable exception may be in the case of infants with an epileptic encephalopathy (see section Prevalence). It has been hypothesized that comorbidity of these conditions reflects shared neurodevelopmental pathways or common etiopathologies (65), such as abnormalities in synaptic plasticity and excitatory/inhibitory imbalance early in development and/or shared multiple genome variants (25, 40).

Many candidate genes associated with ASD and epilepsy are involved in synaptic formation and maintenance (e.g., NRXN1, CNTNAP2) and GABAergic neurotransmission [e.g., ARX, Mecp2; for review see (66)]. The possibility of common genes is especially pertinent for those with intellectual disability. Recurrent structural abnormalities are shown at 15q13.3, 16p13.11, and 16p13.3 in patients with epilepsy, which overlap with genomic hotspots reported in ASD and ID (47, 67, 68). Likewise, copy number variations (CNVs) identified in patients with epileptic encephalopathies (Landau-Kleffner syndrome and continuous spike-wave during slow-wave sleep syndrome) corresponded to genomic regions or genes associated with ASD or related behaviors, particularly those encoding cell adhesion proteins (69).

The association between genetic disorders, epilepsy and ASD could provide a further indication of the aetiological mechanisms underlying ASD and epilepsy (40). Genetic disorders associated with epilepsy, such as TSC, Dravet syndrome and Angelman syndrome, have been linked to higher rates of ASD (30, 70–72). For example, TSC is caused by a mutation of TSC1 or TSC2 that disrupt the mTOR pathway and is characterized by multisystem growths of tumor-like lesions called hamartomas, which can affect a wide-range of bodily systems. Cortical tubers and peritubular cortex act as epileptogenic foci which increase the risk of epilepsy up to 90% and are linked to intellectual impairment and behavioral disturbances including ASD (70, 73). Likewise, Dravet syndrome (severe myoclonic epilepsy in infancy) is often caused by mutations in the SCN1A gene, which regulates movement of sodium ions, helping to propagate electrical signals along neurons (74). Dravet syndrome is associated with prolonged refractory seizures within the first year of life and later cognitive impairment, motor deficits and behavioral disorders such as ASD (71). Duplications on chromosome 15q11.3-q13.1 (Dup15q syndrome) lead to overexpression of several genes, including those involved in GABA transmission and are associated with high risk for early onset epilepsy, ASD and intellectual disability (75). The association between ASD and epilepsy within genetic syndromes may help to identify a shared etiology, whereby disruption downstream of the genetic mutation affects both epileptogenesis and behavior [for review see (76)]. The genes implicated in several of these syndromes are associated with synaptic function. The diverse genetic etiologies identified may therefore converge by altering excitatory/inhibitory balance in the cerebral cortex, due to defects in GABAergic fibers of GABA-receptor function (77).

Despite many common associations found in both disorders, there is a limited amount of evidence investigating shared environmental and/or neuroinflammation pathways leading to comorbid epilepsy and ASD, for example advanced maternal/paternal age (78) or increased activation of astroglia/microglia in children with ASD (79) or epilepsy (80).

Summary

The well-documented overlap between ASD and epilepsy points toward shared aetiological mechanisms. Current findings do not suggest a causative role for epilepsy and abnormal epileptiform activity in the development of ASD; rather, presence of comorbid conditions predicts poorer prognostic outcome in individuals, and as such, indicates need for greater monitoring and interventions for associated factors. Research to date has not yet been able to fully determine the anatomical or molecular causes of why these conditions converge, as it is difficult to distinguish the effects of the underlying pathology from the neurological effects of the seizures themselves (25).

Sleep Problems

Prevalence

Sleep problems occur in a significantly higher proportion of children with ASD compared to typically developing children and children with other developmental delays (81). Prevalence estimates range between 50 and 80% as compared with 9–50% of typically developing children (81–84). These sleep disturbances not only affect daytime functioning but impact on the quality of life of the whole family (85).

A range of sleep disorders may be present in children with ASD, including insomnia (including difficulties with sleep initiation, duration, consolidation, or sleep quality, bedtime resistance, night awakenings, or inability to sleep independently), sleep disordered breathing (that is, disorders related to airway obstruction, including obstructive sleep apnoea), parasomnias (including nightmares, wake screaming, complex movements, and dreams), and sleep related movement disorders (for example, rhythmical movement disorder and restless legs syndrome). Using parental reports, Goldman and colleagues found that younger children with ASD experienced more sleep anxiety, bedtime resistance, night wakefulness, and parasomnias; adolescents, however, tended to have more difficulty falling asleep, getting enough sleep, and experiencing daytime sleepiness (86). Actigraphy data confirms this, with children with ASD experiencing greater latency to fall asleep, longer periods of awakenings, and more night-time activity compared to typically developing children (87). Data from overnight polysomnography also demonstrates shorter sleep times and lower rapid eye movement (REM) sleep in children with ASD (88). Overall, insomnia (difficulty falling asleep and staying asleep) appears to be the most reliably observed phenomena to characterize sleep disturbances across the spectrum [(89–91); see Table 4].

TABLE 4

Table 4. An overview of sleep difficulties in individuals with ASD.

Associations With Behavior and Cognition

Sleep has a vital role to play in child development as it serves multiple functions, such as energy conservation, brain growth, cognition and memory consolidation (15). The relationship between behavior in ASD and sleep dysfunction are likely to be bi-directional; whilst challenging daytime behaviors and associated comorbid conditions (e.g., attention deficit hyperactivity disorder (ADHD), anxiety and depression) contribute to sleep difficulties (see also section Treatment Effects), inefficient sleep can exacerbate or promote ASD behaviors. For example, sleep disorders are predictive of symptom severity in children with ASD (92, 93), including the level of social interaction difficulties (94). Different sleep problems appear to be differentially related to behavioral difficulties. For example, decreased sleep duration (and associated daytime sleepiness) has been associated with increased severity of core ASD symptoms such as repetitive behaviors and social communication difficulties, as well as pronunciation of more specific features such as failure to develop peer relationships and adherence to non-functional routines or rituals (95). Sleep onset delay is associated with stereotyped behaviors and social interaction deficits, but not communication deficits (96), while parasomnias has been linked to symptom severity, communication problems and an increased in stereotyped behaviors (96). Alterations in specific sleep stages may also be associated with different ASD phenotypes; prolonged REM latency has been associated with regression (97). Other maladaptive behaviors, such as self-injury, tantrums and aggression, are associated with shorter sleep durations in ASD (15), and children with ASD with poorer sleep quality also have higher rates of internalizing and externalizing behavioral disorders and lower levels of adaptive functioning (98, 99).

Sleep disorders may be caused by core ASD symptoms; for example, children may have reduced sensitivity to environmental cues that help signal the sleep/wake circadian systems, perseverate on activities or thoughts that may interfere with sleep onset or promote nocturnal awakenings, have limited communication to understand parental expectations for bedtime, or have more challenging behaviors such as hyperactivity or environmental hypersensitivities that may preclude ability to settle down to sleep (100). However, comorbidities such as anxiety or depression may also contribute; in typically developing children, sleep disorders are often related to anxiety and depression (15, 101). Children with ASD are especially vulnerable to co-occurring psychopathologies with prevalence rates ranging from 25 to 70% within the ASD population (18). For example, insomnia can be a consequence of elevated levels of anxiety in individuals with ASD (102), and higher percentage of time spent in REM sleep is associated with greater internalizing behavior in ASD (103). Interestingly, melatonin treatment may alleviate symptoms of both insomnia and anxiety in ASD (104), supporting a shared etiology.

Rates of co-occurring ASD and ADHD are also high, with the prevalence of ADHD symptoms in individuals with ASD ranging from 40 to 70% (105). The key symptoms of ADHD, inattention and hyperactivity, can have an impact on both an individual's ASD symptoms and thus the development of a sleep disorder (85). It has been hypothesized that symptoms of sleeplessness do not always manifest as sleepiness but as overactivity, which at extreme levels can be classified as hyperactivity (85). Interestingly research has shown that melatonin treatment can also have a positive effect on reducing both sleep disorder and hyperactivity (104), suggesting that insufficient sleep may result in behavioral symptoms often seen in patients with co-morbid ASD and ADHD.

Treatment Effects

Potential treatments for sleep disturbances range from behavioral to pharmacological, with the goal to not only improve sleep quality and daytime functioning but also reduce caregiver stress (106). Although a number of behavioral and medical sleep interventions are available, only melatonin appears to have been systematically investigated for its efficacy in ASD (107, 108). The summary evidence for melatonin supplementation for sleep problems in ASD suggests significantly improved sleep duration and sleep onset latency compared to placebo, and significantly improved daytime behaviors, with minimal side effects (107, 108). Because sleep deprivation can contribute to emotional reactivity and interpretation of nonverbal social cues (109, 110), sleep disturbances and daytime sleepiness may also contribute to efficacy of daytime behavioral interventions or impact on educational outcomes.

Conversely, it has also been argued that medications often prescribed to treat symptoms such as anxiety in individuals with ASD may negatively influence sleep. For example, it has been suggested that anti-psychotics and serotonin reuptake inhibitors (SSRIs) may disrupt the sleep cycle and thus have a role to play in sleep disorder (111). Some medications also increase risk of metabolic side effects like obesity (112); rates of overweight and obesity are increased in children with ASD, particularly those with co-occurring sleep disorders (113). The mechanisms and directional impact of sleep problems and treatment in ASD therefore remain complex.

Aetiological Mechanisms

Development of a circadian rhythm has a vital role to play in the development of a competent sleep cycle, controlling different biological rhythms within a 24-h period and modified by both internal and external factors. It is thought that this rhythm regulates both biological and behavioral functions and how an individual can anticipate and adapt to environmental changes (114). When the circadian cycle is dysregulated by underlying alterations in neurophysiological and neurochemistry, an individual can be vulnerable to sleep disorders and physiological disturbances (15, 114). Neurochemistry factors involved in normal sleep include neurotransmitters such as GABA (115), serotonin, and melatonin (116).

Genes known to be associated with the human circadian clock have an important role to play in controlling sleep phase and duration (117) and have a widespread physiological effect on mood, cognition and reward-related behaviors. Mutations in clock genes have been implicated in ASD, thus resulting in the dysregulation of the circadian cycle (114, 118). For example, mutations in the Per1 and NPAS2 clock genes are associated with ASD and related to the morningness-eveningness phenotype (119, 120), and missense changes in six clock genes have been identified in individuals with ASD and sleep problems (118). In addition, the SCN controls the sleep-wake cycle by stimulating the pineal gland to produce melatonin through expression of melatonin-related genes (TPH2, DDC, AANAT, ASMT). Altered melatonin production appears to be feature of children with ASD, including below average physiological levels of melatonin or its metabolites and abnormal coupling of melatonin with the circadian rhythm (107). For example, studies have shown that variations in AMST are associated with decreased melatonin production in ASD (116). Exposure to external environmental factors, such as morning light and external clocks may also contribute to disruptions in sleep cycles. Some individuals with ASD may exhibit variations in light sensitivity, thus leading to a possible misalignment between the circadian phase and light/dark cycle (121). Bidirectional associations between genetic and environmental factors, as well as co-occurring behaviors, are likely to affect underlying biological networks involved in sleep (Figure 2).

FIGURE 2

Figure 2. Interdependent bidirectional associations between ASD and sleep problems. GI, gastrointestinal; RRBIs, restricted and repetitive behaviours and interest.

Summary

Current findings suggest that sleep disorders in children with ASD may be associated with altered circadian rhythms, which may reflect mutations in clock genes and genes involved in melatonin production. Furthermore, sleep disorders in ASD have been associated with behavioral and psychiatric co-morbidities, such as anxiety or ADHD. The directional impact of these underlying mechanisms remains complex when additionally considering the impact of pharmacological interventions, however the broader evidence based suggests co-occurrence of sleep problems with behavioral symptoms, rather than an aetiological mechanism.

Gastrointestinal Dysfunction

Prevalence

Estimates for the prevalence of any gastrointestinal (GI) problem in children with ASD vary between 9 and 70% (7, 14, 122, 123), but may even range to as high as 91% (124). These problems can range from mild gastro-esophageal reflux to more severe symptoms, such as chronic constipation, abdominal pain, and persistent diarrhea (125, 126). The most common of these appears to be chronic constipation, with a median prevalence of 22% (14). Without treatment, these problems can lead to encopresis, delayed continence, pain, and maladaptive daytime behaviors (127–130). Although a subset of children with ASD have GI pathology related directly to ASD, many children also have functional Gl disorders relating to selective eating, medications that have effects on GI motility, and differences in sensory processing. For example, Prosperi et al. (131) found that 27% of children with ASD have problems with food selectivity and that this was frequently associated with GI problems. Despite differences in prevalence between studies, the collective evidence suggests that there is an unusually high prevalence of GI symptoms in children with ASD, implying a possible underlying pathophysiology contributing to both conditions. GI functioning in ASD also encompasses nutrition, including food allergies, metabolic abnormalities, pre-existing nutritional deficiencies, nutrition-related medication side effects, as well as behavioral factors including problematic eating [(132); see Table 5].

TABLE 5

Table 5. An overview of gastrointestinal (GI) symptoms reported in individuals with ASD.

Associations With Behavior and Cognition in ASD

It has been speculated that underlying and undiagnosed GI problems may contribute to some of the behavioral difficulties observed in some children with ASD. Chaidez et al. (133) suggested that there is a strong and significant relationship between GI symptoms and increased instances of irritability, social withdrawal and hyperactivity. Furthermore, non-verbal children with ASD often come to clinical attention due to self-injurious behavior and aggression. It is thought that this behavior could be a result of being unable to communicate their pain and/or discomfort effectively. However, there has been limited evidence to suggest a significant association between presence or frequency of GI symptoms and ASD symptom severity over and above those without significant GI complaints (127, 130, 134, 135), although there is some evidence for associations with language impairment (136). Whilst some reports suggest that increased ASD severity is associated with significantly more GI problems (133, 137), a number of studies have failed to support this association (129). In addition, the interplay between GI problems and anxiety symptoms has been supported in both typical and ASD populations. A large-scale study indicated that anxiety, sensory over-responsivity and GI problems are interrelated in children with ASD (128).

Treatment Effects

A wide range of diets have been purported to exert some efficacy in alleviating GI symptoms in children with ASD. However, a systematic review found little evidence for the beneficial effect of nutritional supplements or gluten/casein-free diets on ASD symptoms (138). Further to this, the long-term effects of these therapies are not well understood and may have unintentional physical health consequences. For example unconventional food preference may result in reductions in bone cortical thickness in boys with autism, a reduction that is greater for those on casein-free diets (139). However, suboptimal bone development in ASD has also been linked to combinations of a lack of exercise, GI problems, as well as clinically compromised vitamin D and calcium intake due to restrictive diets.

Microbiota transfer therapy has recently been suggested as a potential therapy in ASD to target GI symptoms based on the premise of differences in microbiome composition (132). However, whilst the subject has been widely investigated, findings have been inconclusive and contradictory (see Table 6). For example, in a review of the literature, researchers concluded that inconsistent findings in the field are complicated by use of different methodologies, high incidence of antibiotic use, special diets and/or have repetitive dietary behaviors (144). For example, Kang et al. (142) suggested that GI symptoms in ASD were characterized by less diverse gut microbial composition with findings indicating lower levels of Prevotella, Coproccus, and unclassified Veillonellaceae. It has been argued that a higher diversity of gut bacteria protects the human intestine from stresses such as pathogenic gut microbes and lower diversity in ASD may explain increased risk of GI disturbances. Conversely, Finegold et al. (143) found that there was a significantly higher diversity of bacteria found in feces of participants with ASD. Parracho et al. (124) conducted a study that found that there was a higher incidence of the Clostridium histolyticum group of bacteria. Clostridium histolyticum are known to be toxin-producers and it has been hypothesized that this may contribute toward gut dysfunction with metabolic products having a systemic effect. Based on this evidence, clinical trials have now started investigating whether alteration of microbiota profiles may impact on GI symptoms and ASD behaviors. In a recent open-label trial, microbiota transfer therapy incurred an 80% reduction in GI symptoms, including a significant improvement in symptoms such as constipation and abdominal pain that persisted after 8 weeks, in addition to ASD symptoms (145). These results provide very preliminary evidence that, by targeting the gut ecosystem, potentially both ASD and GI symptoms can be impacted, supporting a potential shared mechanism.

TABLE 6

Table 6. An overview of studies investigating microbiota composition in ASD.

Aetiological Mechanisms

The underlying mechanism of GI dysfunction and how this relates to the pathophysiology of ASD is still not well understood. One theory in particular has gained particular momentum, that abnormal neurodevelopment in ASD may be caused by increased GI permeability, so-called “leaky gut,” that facilitates the absorption of toxic by-products of incompletely digested proteins [see (146) for review]. The production of metabolites by certain microbiota produces neuroactive compounds, including 5-HT, dopamine and GABA. These can cross the “leaky gut” resulting in the entry of toxins and bacteria into the bloodstream, to influence brain function and the hypothalamic-pituitary-adrenal (HPA) axis [see (147) for review]. This theory has been so influential, that despite limited evidence for efficacy in improving core ASD symptoms, casein and gluten-free diets, as well as dietary supplementations, are increasingly popular alternative treatments pursued by families (148).

Serotonin is critical for gut function, with 80–95% of 5-HT receptors localized to the gut and alterations to 5-HT signaling related to many GI disorders (for example, Crohn's disease, ulcerative colitis, irritable bowel syndrome, and chronic constipation). It has been speculated that altered gut 5-HT signaling may be an important contributor to the presence of GI disorders in children with ASD (149, 150); a cascade of events resulting from gut inflammation may lead to reduced levels of brain 5-HT, thereby resulting in mood and cognitive disturbances associated with ASD (149), although this may also be associated with an overall reduced brain availability of 5-HT (151). A well-established connection links the gut to the brain in a bidirectional pathway (see also Figure 3) (152)–autonomic projections from the brain regulate digestive reflexes, signals traveling from the gut signal satiety to the brain, whilst neural signals of stress and anxiety influence gut function and sensitivity. Dysregulation of the HPA axis has been implicated in children with GI problems and emerging evidence suggests a role in ASD (128, 153). This may provide a strong rationale for use of selective serotonin reuptake inhibitors (SSRIs) in the treatment of ASD symptoms by increasing availability of 5-HT, although research to date has established limited efficacy (154). However, if reduced 5-HT results from intestinal inflammation, then possibly targeting 5-HT metabolism by restoring availability of tryptophan for 5-HT synthesis may represent a viable alternate therapeutic mechanism (149).

FIGURE 3

Figure 3. Bidirectional associations between alterations in central nervous system circuitry (epilepsy, sleep), immune system and gastrointestinal function and behaviors characteristic of ASD interacting with genetic and environmental risk.

Increasing evidence suggests GI complications can arise as a result of genetic and environmental risk factors for ASD. For example, variants in the c-Met gene encoding for MET receptor tyrosine kinase are associated with ASD in individuals with co-occurring GI dysfunction (155). The role of MET hypofunction is supported by decreased protein expression in post-mortem brains from autistic individuals compared to typical controls (156). In addition, alterations in the serotonin reuptake transporter (SERT) are implicated in ASD (157) and are likely to disrupt GI serotonin metabolism (158). Expression of the most common SERT variant (Ala56) in mice is associated with ASD-like behaviors [repetitive behaviors, reduced vocalizations, and social contact; (159)], as well as fewer gut neurons, a badly maintained gut lining and slow gut activity (160). Treatment with a 5-HT agonist prevented these GI manifestations (160).

Dysfunctional immune responses (see section Immune Dysfunction), in particular mucosal immune cells, may also have adverse effects on GI functioning in ASD. Endoscopic investigations suggest diffuse inflammation in the intestinal tract of children with ASD (7). There have also been reports of increased gastrointestinal complaints associated with autoimmune responses or a family history of autoimmunity in children in with ASD (161–163), although smaller studies have failed to replicate this increased prevalence (164). For example, increased autoantibodies directed toward central nervous system proteins have been observed in children with ASD and their mothers (165–168). One speculation is that these autoantibodies may signal presence of heightened inflammatory processes or an autoimmune component that could decrease the integrity of the mucosal barrier, or even reflect a downstream effect of previous mucosal infection (123). Notably, these maternal autoantibodies are strongly associated with the functional c-Met C allele associated with susceptibility to ASD and comorbid GI dysfunction (169), forming a promising convergent pathway (see section Immune Dysfunction).

Summary

Individuals with ASD are at higher risk of experiencing GI disturbances, with GI problems further linked to increased ASD symptoms. Abnormal neurodevelopment, dysfunctional immune responses and altered serotonergic transmission have been suggested potential mechanisms underlying the overlap between ASD and GI dysfunction.

Immune Dysfunction

Prevalence

The immune system comprises a group of defense mechanisms triggered to protect against disease or illness causing pathogens. Antigens, proteins found on the surface of pathogens, are recognized by a healthy immune system and trigger the production of antibodies that identify and neutralize or remove the antigen. The immune system comprises both innate and adaptive systems. The innate system develops early in fetal development, using genetically encoded receptors and nonspecific mechanisms for defense. In this way, the innate system plays more of a “housekeeping” role. The adaptive system is responsible for threat response, developing a memory of the response for future threats, and does not fully mature until early childhood. This system is more dynamic, responding to potential pathogens and toxins upon exposure. Both systems work together to achieve homeostasis, and importantly, disruption in either can affect neuronal development and functioning (170). Optimal immune functioning is characterized by the homeostatic maintenance of the innate and acquired immune responses, balancing pro- and anti-inflammatory signaling in response to potential pathogenic threats. Aberrant immune functioning can manifest in many ways, such as upregulation of inflammation or immune deficiency that comprises innate host defense mechanisms. Conditions associated with dysfunction of the immune system can include allergies, asthma, and autoimmune disorders.

Prevalence of immune conditions in individuals with ASD varies considerably between studies. Increased rates of food allergies, allergic rhinitis, and atopic dermatitis (i.e., eczema) (133, 171, 172), as well as autoimmune disorders such as psoriasis (4, 173), have been reported in children with ASD in case-control analyses of electronic medical records. In general, asthma is reported at increased frequencies in children with ASD (171, 174), however decreased rates have also been reported (173). Additionally, atopic conditions (asthma, atopic dermatitis, allergic rhinitis, or allergic conjunctivitis) in early childhood is associated with increased rates of later diagnosis of ASD and ADHD, with increased number of atopic conditions associated with stronger likelihood of a later ASD diagnosis (175). Taken together, these studies of medical records or retrospective parental reports support an increased prevalence of specific immune-related conditions, which may constitute an immune-mediated subtype of ASD; see Table 7.

TABLE 7

Table 7. An overview of immune-mediated conditions reported at increased prevalence in individuals with ASD.

Associations With Behavior and Cognition in ASD

An extension of this research is the question of whether changes in peripheral cytokine expression are associated with differences in individual behaviors within individuals with ASD. If so, this would then suggest that interventions that target the immune system might have some benefit in improving symptoms. Chemokine levels have been associated with impaired communication, increased parent-reported behavior problems, decreased cognitive and adaptive functions, and worse adaptive behavior (176). Increased levels of proinflammatory cytokines (section Aetiological Mechanisms) have been associated with the severity of ASD in a sample of children with ASD in Egypt (177), whilst decreased levels of an immunosuppressant cytokine, transcription growth factor beta 1, significantly predicts worse behavioral symptoms and lower adaptive levels (178). Al-Ayadhi and Mostafa (179) also found that children with more severe ASD symptoms exhibited greater levels of a proinflammatory cytokine compared to children with more milder symptom presentations. More recently, we observed decreased levels of a range of cytokines associated with symptom severity in children with ASD, with differences in cytokine expressions between male and female children (180). There is also some evidence that different presentations of ASD symptoms may be associated with family histories of immune dysfunction; Molloy and colleagues reported that familial autoimmune thyroid disease was more common in children who regressed compared to those children with an early onset form of ASD (181). Combined, these results suggest a spectrum of altered inflammatory responses associated with differences in symptom profiles within individuals with ASD.

Treatment Effects

There is some preliminary evidence for cytokine changes in response to medical treatments in ASD. Choi et al. showed that levels of some cytokines significantly reduced after risperidone treatment in children with ASD, and interleukin 5 was specifically increased in a small sample of treatment responders (182). However, others have not observed changes in cytokine serum levels after risperidone treatment compared to placebo in a much larger sample of children (183). A further study demonstrated that anti-inflammatory agents combined with risperidone had a superior effect in treating symptoms in children, although inflammatory responses were not assessed (184). This latter study implies that modulating the inflammatory response in children with ASD may facilitate the efficacy of treatments such as risperidone. This idea has been supported by some historical and case study accounts of modest reductions in the severity of ASD symptoms when treating gastrointestinal inflammation with corticosteroids or antibiotics (185).

Immune-modulatory agents have also been trialed to specifically target ASD symptoms (186). Significant improvements have been described in open-label investigations of corticosteroids (187) and lenalidomide, an immune-modulatory agent (188), as well as double-blind investigations of celecoxib, an anti-inflammatory drug (189). However, varying clinical efficacy and limited randomized double-blind investigations, combined with serious side effects noted in corticosteroids (189), indicates that this area requires further investigation.

Aetiological Mechanisms

The mechanisms by which dysfunctional immune systems may contribute etiologically to ASD is an area of active investigation (190). Here, we briefly outline the main streams of research [see (191) for extensive recent review on aetiological mechanisms of immune dysfunction in ASD]. Several reports of associations between ASD and family history of autoimmune or immune-mediated disorders have emerged (161, 192, 193). Several high confidence genes identified for ASD converge on pathways important in synapse formation, neuronal migration, and immune function (194, 195). Of relevance here, restriction of HLA genes has been reported as conferring a greater risk for the development of ASD, involved in immune function and also associated with risk for autoimmune conditions (196–199). Located within the large genome regions known as the major histocompatibility complex (MHC) on chromosome 6, several HLA haplotypes appear to be more frequent in children with ASD (200, 201). Some failures to replicate this have suggested that possible genetic differences may lie more generally within this MHC region rather than specifically confined to the HLA genes only (202, 203). For example, the gene coding for the complement protein C4 located in the MHC region is important for innate immunity. Deficiencies in the C4B allele, as well as several other complement proteins, may be differentially produced in some individuals with ASD (204–208). In addition, the MET receptor tyrosine kinase has been associated with ASD (209), which is implicated in both neurodevelopment and immune function.

In addition to examining diagnosed immune conditions, significant research has focused on measurements of cytokine signaling profiles as indicators of broader changes in inflammatory processes in individuals with ASD (17). Cytokines are proteins produced and expressed by neurons that regulate immune responses, including hematopoiesis, inflammation, and immune cell proliferation and differentiation (210). Some cytokines act to make disease worse (proinflammatory) whereas others reduce inflammation and promote healing by suppressing the activity of proinflammatory cytokines (anti-inflammatory). Cytokines also play a role in normal neurodevelopment, including the processes of neuronal migration and synaptic plasticity (211). These processes are tightly regulated and a dysregulation in the balance of signals mediated by cytokines can have a variety of detrimental effects that contribute to changes in neurodevelopment and behavior.

A recent meta-analysis of cytokine levels derived from plasma and serum in unmedicated individuals with ASD (mostly children) found an overall abnormal cytokine profile, characterized by elevations in proinflammatory cytokines and reduced levels of anti-inflammatory cytokines (17). This suggests that some individuals with ASD may exhibit a heightened inflammatory state and altered cytokine profile, observed in peripheral tissues, suggestive of broader immune system dysregulation in ASD. While elevated levels of inflammatory cytokines observed in the central nervous system of individuals with ASD may reflect inflammatory processes that modulate neuronal function and change behavior (79, 212), altered cytokines in peripheral tissues indicate more widespread inflammatory involvement (213–216). This meta-analysis also observed significant heterogeneity between studies, likely reflecting important methodological differences between studies and the prevalent use of siblings as control subjects for analysis, who are at higher risk of exhibiting broader ASD symptoms themselves (217) or having similar immune system profiles (218).

One well-researched area has explored early maternal infection and inflammation during pregnancy and later risk for an ASD diagnosis (219–225). Pregnancy requires a complex and dynamic response from the maternal immune system to protect the mother from pathogens or infections but to also support the fetal tissue that contains many “non-self” antigens from the father to promote fetal health and development. As this is a complex regulatory system to maintain such balance, this period represents an extremely vulnerable period for both mother and the developing fetus. Disturbances in immune regulation during this period has been well-established to provide a substantial risk factor for alterations in neurodevelopment (226). Incidence of maternal viral and bacterial infections has been proposed as a risk factor for the development of ASD (220, 227–229). Perturbation of the maternal immune system may modify either the placenta or the fetal brain to then later neurodevelopment (230, 231), of which the cytokine IL-6 appears to play a major role (231, 232). Involvement of the maternal immune system during pregnancy does not just appear to influence neurodevelopment, but may also modify ongoing immune dysfunction in offspring (233–236) and later symptom presentation (237). The maternal immune environment has also been proposed as a key factor influencing the increased risk of ASD diagnoses in children born very preterm (226).

Summary

Disruptions in both innate and adaptive immunity have clear consequences for neurodevelopment, with the cumulative evidence suggestive of a disrupted immune profile in for some individuals with ASD as well as links to the early maternal pregnancy environment in shaping later immune profiles and neurodevelopment. There evidence to suggest a direct association between perturbed immune profiles and impact on subsequent behavioral and symptomatic profiles, with limited studies for potential changes in immune profiles in response to treatment or changes in immune functioning through anti-inflammatory markers to facilitate reductions in core ASD symptoms. Taken together, this evidence suggests that an immune-mediated subtype of ASD may be amenable to specific, targeted and/or personalized treatments based on individual immune profiles.

Discussion

Mechanisms of Associations Between Medical Comorbidities and ASD

This review highlights that the interactions between observed comorbid medical conditions and physiological abnormalities in children with ASD are complex. Disorders of GI function and seizures appear to be parallel comorbid conditions, with possible common aetiological mechanisms resulting from yet unknown neurological causes. Sleep disorders, however, are likely to be a consequence of ASD symptoms or may be, in turn, associated with GI symptoms or other comorbidities that can cause sleep disturbances. Whilst the evidence discussed suggests a causative role for metabolic and immunological pathways for some individuals later diagnosed with ASD, evidence for these remains preliminary and based on group level findings, rather than evidence from prospective and longitudinal observations. What is clear, however, is that these systems and pathways do not work in isolation from each other; rather, complex interactions imply dysregulation in any one system may cause a cascade of events cumulating in a cluster of symptoms associated with ASD (Figure 3). Because these systems are very complex, and no perturbations in any one appear to be common across individuals with ASD, it is likely that the heterogeneity in ASD reflects the potential myriad of different disturbances along any one of these pathways. Further complicating this model is the high likelihood that any given individual with ASD may also present with multiple medical comorbidities or elevated abnormalities, which also interact with co-occurring behavioral comorbidities, such as hyperactivity and anxiety, and developmental delay (238). Thus, attempts to subgroup individuals based on medical conditions alone may be complicated by the prospects of individuals belonging to multiple subgroups. Importantly, identification of shared or distinct biochemical or neurocognitive mechanisms will be key in elucidating causal pathways.

Integrating Mechanistic Models of ASD: Implications for Etiology and Treatment

As discussed in each section, complicating interactions between these systems suggest a greater likelihood for individuals with alterations in one system to have alterations across multiple systems. Still, the overlap between medical and behavioral features associated with ASD may point toward convergent platforms for a final common pathway to ASD across varied causes, with implications for targeted treatment. For example, children who have sleep problems and ASD are two times more likely to have GI issues and seizures (6).

Review of the proposed aetiological mechanisms underlying the comorbidity between these medical comorbidities and ASD allows some degree of integration. Processes with shared involvement in ASD and multiple medical disorders include gene transcriptional regulation; cellular growth and proliferation; and synapse development, stability and function. Importantly, the potential role of the microbiota-gut-brain axis in multiple elements of medical comorbidity has been implicated (Figure 3), whereby short-chain fatty acids can cross the blood-brain barrier and enter the brain (section Gastrointestinal Dysfunction, Table 6), gut microbiota modulate the immune response by stimulating secretion of cytokines and microbiota can deliver signals to the brain via the vagus nerve [see (239) for review]. Beneficial therapeutic effects may be afforded by focusing on the microbiota-gut-brain axis, although more systematic study of its role in ASD is required.

Associations between sleep and other disorders are also apparent; while classically functioning to regulate circadian and seasonal rhythms, melatonin additionally affects cardiovascular and immune systems, regulates body fat mass, insulin secretion, and metabolism of glucose and lipids, as a close derivative of serotonin (5-HT). Due to these additional functions, emerging research has highlighted a role for melatonin administration in humans to attenuate metabolic symptoms induced by antipsychotic use (240) and to potentially improve GI functioning via effects on intestinal permeability (241). Given additional physiological functions of melatonin, effective supplementation may have secondary effects in improving GI functioning in ASD; however there has not been any systematic investigation into this as yet.

Similarly, comorbid medical conditions and associated medication use may result in sleep disturbance; for example, physical symptoms such as abdominal pain in some GI disorders, or medications prescribed for seizures can cause difficulty sleeping. Children with epilepsy also exhibit significant alterations in sleep latency, sleep efficiency, and number of awakenings (242), and epilepsy may be characterized by seizures during sleep (e.g., Landau-Kleffner). It is therefore of critical importance to determine whether sleep problems are better explained by associated medical conditions which should be treated rather than attempting to address sleep difficulties alone (100).

Finally, alterations in immune system profiles, dysregulated gastrointestinal symptoms and disordered sleep patterns clearly impact upon behavioral profiles, including elevated anxiety, increased social and communication difficulties, reduced adaptive functioning, and increased maladaptive behaviors. Recent meta-analytic evidence confirms an association between sleep disturbances and increased inflammation, suggesting that improvements in one system could potentially positively impact upon other regulatory systems (243). Generating evidence for such hypotheses require large and detailed biological datasets from children with ASD across their developmental course [e.g., (244–246).

A key aim for future research will be to examine the interactions between these systems using established biomarkers along their pathways within ASD, rather than examining each in isolation (Box 1). Possible networks of disturbances may then be mapped out to determine potential subgroups of individuals with ASD classified by patterns of abnormal biological profiles. A second question of interest will be how modulation of these biological substrates through targeted pharmacological interventions may affect core ASD symptoms (247). Initial promising findings in small sampled trials suggest some efficacy for such approaches. However, if subgroups of individuals with specific biological profiles exist along the spectrum, then interventions must be appropriately targeted for individuals with certain profiles, rather than a universal approach. Lastly, the true efficacy of such targeted interventions will lie in the use of robust and sensitive biomarkers to determine treatment response, rather than a sole reliance on parent-reported and observational outcomes.

Box 1. Future directions and common themes.

- Using expertise from a diverse range of disciplines—genetics, neuroscience, biochemistry and developmental psychology—to disentangle biological mechanisms underpinning medical comorbidity.

- Improved understanding of the link between comorbid medical conditions and co-occurring mental health problems and psychopathology in ASD.

- Understanding the longitudinal course of the full range of medical comorbidities in ASD.

- Treatment and intervention studies to systematically assess whether treating medical issues has additional positive effects on other medical issues (e.g., sleep) or on behavioral domains.

An important consideration is the time at which symptoms or markers are assessed. As a developmental condition, the symptoms of ASD change over the course of the child's lifespan, and there is increasing acknowledgment for the importance in understanding an individual's trajectory over time to grasp the full complexity of the heterogeneous symptoms presentations within ASD (248). Current physiological states are dependent on history of previously received interventions and past characteristics, such as regression, that may later affect developmental trajectories. In addition, there are likely to be sensitive periods within development where particular comorbidities may be more apparent or exhibit higher risk; for example, sensitive periods for prevalence of epilepsy-related disorders in childhood (249). Prospective longitudinal studies are required to systematically measure medical disorders and biomarkers within cohorts of individuals diagnosed or with clinical risk indicators of ASD. This may then provide sufficient power to identify subgroups of children with different clusters of symptoms that converge on similar pathways. Likewise, a developmental perspective will provide insight on the nature of the association with health conditions as a resulting or co-occurring model.

Clinical Implications

Assessment of co-occurring medical problems is of critical importance in the initial diagnostic procedure for individuals with ASD as well as in ongoing treatment management. As part of a multidisciplinary approach, systematic and evidence-based screening should be recommended at the time of diagnostic evaluations as well as during ongoing health monitoring. A key conclusion from this review is the importance of monitoring and maintaining general health and wellbeing in individuals with ASD. Although many of the medical conditions or abnormalities may not be present in many individuals with ASD, the overall increased risk of all-cause mortality in this population indicates a need for increased vigilance. For example, comorbid epilepsy, particularly accompanied by intellectual disability, is associated with an increased mortality risk; thus, there is a significant imperative for clinicians and parents/careers to provide additional care and monitoring around overall health and wellbeing for these individuals to potentially attenuate this risk. Cumulative evidence highlights increased prevalence of obesity and poor diet in individuals with ASD, and decreased use of general health services, such as for oral health, due to barriers to accessing health care that supports individuals with special needs. There is also a critical need for healthcare services to provide supportive and accessible environments for individuals with ASD.

The burden of such medical conditions in increasing mortality is likely compounded by impaired communication and increased sensory sensitivities that present a significant barrier to the delivery of health care services (both preventative and targeted treatment). A growing area of research has therefore focused on the necessity for effective and targeted health care services that are designed for ASD, as well as identifying potential barriers to access and use (250). Appropriately delivered health care services that can manage difficulties in communication and sensory sensitivities, particularly those that are pre-emptive, are likely to have benefits beyond just medical treatment but may drastically improve the quality of life for both the individual and their caregiver(s) and potentially decrease long-term financial burden. Despite higher health care utilization in this population, the decreased ability for the health care system to effectively manage behavioral symptoms, impaired communication, and specific sensory issues is a significant barrier for most preventative health care, especially for those on the severe end of the spectrum.

Conclusion

The presence of comorbid medical conditions in ASD highlights the vast heterogeneity within the disorder. Using a model-based approach to understand the interacting systems potentially involved in the etiology and symptoms of ASD may lead to hypothesis generation and potential avenues for clinical trials. We require a better understanding of how variability in these systems results in similar or different functional profiles in ASD, and more integrative studies that consider the interaction between systems and the environment to produce behaviors characteristic of ASD. Such an approach can then lend hope to more specific biomedical treatments aimed at targeted these biomedical abnormalities and improving core and associated symptoms in ASD, ultimately to improve long-term outcomes.

Author Contributions

CT and GA led in the conception and design of the review. CT, AR, and GA drafted the paper. AW provided substantial revision.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

CT is supported by the NIHR Maudsley Biomedical Research Centre, UK Tuberous Sclerosis Association, University of London Basil Davies bequest and was supported by a Medical Research Council (MRC) studentship (G9817803). AW is supported by a Senior Research Fellowship from the National Health and Medical Research Fellowship (#1077966). GA is supported by the Cooperative Research Centre for Living with Autism (Autism CRC), established and supported under the Australian Government's Cooperative Research Centres Program.

References

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th edn. Arlington, VA: American Psychiatric Publishing (2013). doi: 10.1176/appi.books.9780890425596

CrossRef Full Text

2. World Health Organization. The ICD-10 Classification of Mental and Behavioural Disorders: Clinical Descriptions and Diagnostic Guidelines. Geneva: World Health Organization (1993).

3. Bourgeron T. From the genetic architecture to synaptic plasticity in autism spectrum disorder. Nat Rev Neurosci. (2015) 16:551–63. doi: 10.1038/nrn3992

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kohane IS, McMurry A, Weber G, MacFadden D, Rappaport L, Kunkel L, et al. The co-morbidity burden of children and young adults with autism spectrum disorders. PLoS ONE (2012) 7:e33224. doi: 10.1371/journal.pone.0033224

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Doshi-Velez F, Ge Y, Kohane I. Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis. Pediatrics (2014) 133:e54–63. doi: 10.1542/peds.2013-0819

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Aldinger KA, Lane CJ, Veenstra-VanderWeele J, Levitt P. Patterns of risk for multiple co-occurring medical conditions replicate across distinct cohorts of children with autism spectrum disorder. Autism Res. (2015) 8:771–81. doi: 10.1002/aur.1492

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Buie T, Campbell DB, Fuchs GJ, Furuta GT, Levy J, VandeWater J, et al. Evaluation, diagnosis, and treatment of gastrointestinal disorders in individuals with ASDs: a consensus report. Pediatrics (2010) 125(Suppl. 1):S1–18. doi: 10.1542/peds.2009-1878C

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Malow BA, Byars K, Johnson K, Weiss S, Bernal P, Goldman SE, et al. A practice pathway for the identification, evaluation, and management of insomnia in children and adolescents with autism spectrum disorders. Pediatrics (2012) 130(Suppl. 2):S106–24. doi: 10.1542/peds.2012-0900I

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Isaksen J, Bryn V, Diseth TH, Heiberg A, Schjølberg S, Skjeldal OH. Children with autism spectrum disorders–the importance of medical investigations. Eur J Paediatr Neurol. (2013) 17:68–76. doi: 10.1016/j.ejpn.2012.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Shavelle RM, Strauss DJ, Pickett J. Causes of death in autism. J Autism Dev Disord. (2001) 31:569–76. doi: 10.1023/A:1013247011483

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Gillberg C, Billstedt E, Sundh V, Gillberg IC. Mortality in autism: a prospective longitudinal community-based study. J Autism Dev Disord. (2010) 40:352–7. doi: 10.1007/s10803-009-0883-4

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Mouridsen SE, Brønnum-Hansen H, Rich B, Isager T. Mortality and causes of death in autism spectrum disorders: an update. Autism (2008) 12:403–14. doi: 10.1177/1362361308091653

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Hirvikoski T, Mittendorfer-Rutz E, Boman M, Larsson H, Lichtenstein P, Bölte S. Premature mortality in autism spectrum disorder. Br J Psychiatry (2016) 208:232–8. doi: 10.1192/bjp.bp.114.160192

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Holingue C, Newill C, Lee L, Pasricha PJ, Daniele Fallin M. Gastrointestinal symptoms in autism spectrum disorder: a review of the literature on ascertainment and prevalence. Autism Res. (2018) 11:24–36. doi: 10.1002/aur.1854

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Cohen S, Conduit R, Lockley SW, Rajaratnam SMW, Cornish KM. The relationship between sleep and behavior in autism spectrum disorder (ASD): a review. J Neurodev Disord. (2014) 6:44. doi: 10.1186/1866-1955-6-44

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Jeste SS, Tuchman R. Autism spectrum disorder and epilepsy: two sides of the same coin? J Child Neurol. (2015) 30:1963–71. doi: 10.1177/0883073815601501

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Masi A, Quintana DS, Glozier N, Lloyd AR, Hickie IB, Guastella AJ. Cytokine aberrations in autism spectrum disorder: a systematic review and meta-analysis. Mol Psychiatry (2014) 20:440–6. doi: 10.1038/mp.2014.59

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Simonoff E, Pickles A, Charman T, Chandler S, Loucas T, Baird G. Psychiatric disorders in children with autism spectrum disorders: prevalence, comorbidity, and associated factors in a population-derived sample. J Am Acad Child Adolesc Psychiatry (2008) 47:921–9. doi: 10.1097/CHI.0b013e318179964f

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Leyfer OT, Folstein SE, Bacalman S, Davis NO, Dinh E, Morgan J, et al. Comorbid psychiatric disorders in children with autism: interview development and rates of disorders. J Autism Dev Disord. (2006) 36:849–61. doi: 10.1007/s10803-006-0123-0

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Rommelse NNJ, Geurts HM, Franke B, Buitelaar JK, Hartman CA. A review on cognitive and brain endophenotypes that may be common in autism spectrum disorder and attention-deficit/hyperactivity disorder and facilitate the search for pleiotropic genes. Neurosci Biobehav Rev. (2011) 35:1363–96. doi: 10.1016/j.neubiorev.2011.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Richards C, Jones C, Groves L, Moss J, Oliver C. Prevalence of autism spectrum disorder phenomenology in genetic disorders: a systematic review and meta-analysis. Lancet Psychiatry (2015) 2:909–16. doi: 10.1016/S2215-0366(15)00376-4

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Tye C, Varcin KJ, Bolton P, Jeste SS. Early developmental pathways to autism spectrum disorder in tuberous sclerosis complex. Advances in Autism (2016) 2:84–93. doi: 10.1108/AIA-01-2016-0004

CrossRef Full Text | Google Scholar

23. Guerrini R. Epilepsy in children. Lancet (2006) 367:499–524. doi: 10.1016/S0140-6736(06)68182-8

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Spence SJ, Schneider MT. The role of epilepsy and epileptiform EEGs in autism spectrum disorders. Pediatr Res. (2009) 65:599–606. doi: 10.1203/PDR.0b013e31819e7168

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tuchman R, Cuccaro M. Epilepsy and autism: neurodevelopmental perspective. Curr Neurol Neurosci Rep. (2011) 11:428–34. doi: 10.1007/s11910-011-0195-x

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hara H. Autism and epilepsy: a retrospective follow-up study. Brain Dev. (2007) 29:486–90. doi: 10.1016/j.braindev.2006.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Parmeggiani A, Barcia G, Posar A, Raimondi E, Santucci M, Scaduto MC. Epilepsy and EEG paroxysmal abnormalities in autism spectrum disorders. Brain Dev. (2010) 32:783–9. doi: 10.1016/j.braindev.2010.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Danielsson S, Gillberg IC, Billstedt E, Gillberg C, Olsson I. Epilepsy in young adults with autism: a prospective population-based follow-up study of 120 individuals diagnosed in childhood. Epilepsia (2005) 46:918–23. doi: 10.1111/j.1528-1167.2005.57504.x

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Strasser L, Downes M, Kung J, Cross JH, De Haan M. Prevalence and risk factors for autism spectrum disorder in epilepsy: a systematic review and meta-analysis. Dev Med Child Neurol. (2018) 60:19–29. doi: 10.1111/dmcn.13598

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Jeste SS, Sahin M, Bolton P, Ploubidis GB, Humphrey A. Characterization of autism in young children with tuberous sclerosis complex. J Child Neurol. (2008) 23:520–5. doi: 10.1177/0883073807309788

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Wong V. Study of the relationship between tuberous sclerosis complex and autistic disorder. J Child Neurol. (2006) 21:199–204. doi: 10.2310/7010.2006.00046

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Chez MG, Chang M, Krasne V, Coughlan C, Kominsky M, Schwartz A. Frequency of epileptiform EEG abnormalities in a sequential screening of autistic patients with no known clinical epilepsy from 1996 to 2005. Epilepsy Behav. (2006) 8:267–71. doi: 10.1016/j.yebeh.2005.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Kim HL, Donnelly JH, Tournay AE, Book TM, Filipek P. Absence of seizures despite high prevalence of epileptiform EEG abnormalities in children with autism monitored in a tertiary care center. Epilepsia (2006) 47:394–8. doi: 10.1111/j.1528-1167.2006.00434.x

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Yasuhara A. Correlation between EEG abnormalities and symptoms of autism spectrum disorder (ASD). Brain Dev. (2010) 32:791–8. doi: 10.1016/j.braindev.2010.08.010

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Steffenburg S, Gillberg C, Steffenburg U. Psychiatric disorders in children and adolescents with mental retardation and active epilepsy. Arch Neurol. (1996) 53:904–12. doi: 10.1001/archneur.1996.00550090114017

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Tuchman RF, Rapin I, Shinnar S. Autistic and dysphasic children. II: Epilepsy. Pediatrics (1991) 88:1219–25.

Google Scholar

37. Matsuo M, Maeda T, Sasaki K, Ishii K, Hamasaki Y. Frequent association of autism spectrum disorder in patients with childhood onset epilepsy. Brain Dev. (2010) 32:759–63. doi: 10.1016/j.braindev.2010.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Sansa G, Carlson C, Doyle W, Weiner HL, Bluvstein J, Barr W, et al. Medically refractory epilepsy in autism. Epilepsia (2011) 52:1071–5. doi: 10.1111/j.1528-1167.2011.03069.x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Berg AT, Berkovic SF, Brodie MJ, Buchhalter J, Cross JH, van Emde Boas W, et al. Revised terminology and concepts for organization of seizures and epilepsies: report of the ILAE commission on classification and terminology, 2005–2009. Epilepsia (2010) 51:676–85. doi: 10.1111/j.1528-1167.2010.02522.x

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Srivastava S, Sahin M. Autism spectrum disorder and epileptic encephalopathy: common causes, many questions. J Neurodev Disord. (2017) 9:23. doi: 10.1186/s11689-017-9202-0

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Tuchman R, Moshé SL, Rapin I. Convulsing toward the pathophysiology of autism. Brain Dev. (2009) 31:95–103. doi: 10.1016/j.braindev.2008.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Mouridsen SE, Rich B, Isager T. A longitudinal study of epilepsy and other central nervous system diseases in individuals with and without a history of infantile autism. Brain Dev. (2011) 33:361–6. doi: 10.1016/j.braindev.2010.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Turk J, Bax M, Williams C, Amin P, Eriksson M, Gillberg C. Autism spectrum disorder in children with and without epilepsy: impact on social functioning and communication. Acta Paediatr. (2009) 98:675–81. doi: 10.1111/j.1651-2227.2008.01184.x

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Cuccaro ML, Tuchman RF, Hamilton KL, Wright HH, Abramson RK, Haines JL, et al. Exploring the relationship between autism spectrum disorder and epilepsy using latent class cluster analysis. J Autism Dev Disord. (2012) 42:1630–41. doi: 10.1007/s10803-011-1402-y

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Viscidi EW, Johnson AL, Spence SJ, Buka SL, Morrow EM, Triche EW. The association between epilepsy and autism symptoms and maladaptive behaviors in children with autism spectrum disorder. Autism (2014) 18:996–1006. doi: 10.1177/1362361313508027

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Richard AE, Scheffer IE, Wilson SJ. Features of the broader autism phenotype in people with epilepsy support shared mechanisms between epilepsy and autism spectrum disorder. Neurosci Biobehav Rev. (2017) 75:203–33. doi: 10.1016/j.neubiorev.2016.12.036

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Amiet C, Gourfinkel-An I, Bouzamondo A, Tordjman S, Baulac M, Lechat P, et al. Epilepsy in autism is associated with intellectual disability and gender: evidence from a meta-analysis. Biol Psychiatry (2008) 64:577–82. doi: 10.1016/j.biopsych.2008.04.030

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Woolfenden SUE, Sarkozy V, Ridley G, Coory M, Williams K. A systematic review of two outcomes in autism spectrum disorder–epilepsy and mortality. Dev Med Child Neurol. (2012) 54:306–12. doi: 10.1111/j.1469-8749.2012.04223.x

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Hrdlicka M. EEG abnormalities, epilepsy and regression in autism: a review. Neuro Endocrinol Lett. (2008) 29:405–9.

PubMed Abstract | Google Scholar

50. Giannotti F, Cortesi F, Cerquiglini A, Miraglia D, Vagnoni C, Sebastiani T, et al. An investigation of sleep characteristics, EEG abnormalities and epilepsy in developmentally regressed and non-regressed children with autism. J Autism Dev Disord. (2008) 38:1888–97. doi: 10.1007/s10803-008-0584-4

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Oslejskova H, Dusek L, Makovska Z, Pejcochova J, Autrata R, Slapak I. Complicated relationship between autism with regression and epilepsy. Neuro Endocrinol Lett. (2008) 29:558–70.

PubMed Abstract | Google Scholar

52. Berg AT, Plioplys S. Epilepsy and autism: is there a special relationship? Epilepsy Behav. (2012) 23:193–8. doi: 10.1016/j.yebeh.2012.01.015

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Humphrey A, Neville BGR, Clarke A, Bolton PF. Autistic regression associated with seizure onset in an infant with tuberous sclerosis. Dev Med Child Neurol. (2006) 48:609–11. doi: 10.1017/S0012162206001277

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Tuchman R, Alessandri M, Cuccaro M. Autism spectrum disorders and epilepsy: moving towards a comprehensive approach to treatment. Brain Dev. (2010) 32:719–30. doi: 10.1016/j.braindev.2010.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Shinnar S, Pellock JM. Update on the epidemiology and prognosis of pediatric epilepsy. J Child Neurol. (2002) 17(Suppl. 1):S4–17. doi: 10.1177/08830738020170010201

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Bolton PF, Carcani-Rathwell I, Hutton J, Goode S, Howlin P, Rutter M. Epilepsy in autism: features and correlates. Br J Psychiatry (2011) 198:289–94. doi: 10.1192/bjp.bp.109.076877

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Hartley-McAndrew M, Weinstock A. Autism spectrum disorder: correlation between aberrant behaviors, EEG abnormalities and seizures. Neurol Int. (2010) 2:e10. doi: 10.4081/ni.2010.e10

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Frye RE, Sreenivasula S, Adams JB. Traditional and non-traditional treatments for autism spectrum disorder with seizures: an on-line survey. BMC Pediatr. (2011) 11:37. doi: 10.1186/1471-2431-11-37

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Kilincaslan A, Kok BE, Tekturk P, Yalcinkaya C, Ozkara C, Yapici Z. Beneficial effects of everolimus on autism and attention-deficit/hyperactivity disorder symptoms in a group of patients with tuberous sclerosis complex. J Child Adolesc Psychopharmacol. (2017) 27:383–8. doi: 10.1089/cap.2016.0100

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Krueger DA, Sadhwani A, Byars AW, de Vries PJ, Franz DN, Whittemore VH, et al. Everolimus for treatment of tuberous sclerosis complex-associated neuropsychiatric disorders. Ann Clin Transl Neurol. (2017) 4:877–87. doi: 10.1002/acn3.494

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Bombardieri R, Pinci M, Moavero R, Cerminara C, Curatolo P. Early control of seizures improves long-term outcome in children with tuberous sclerosis complex. Eur J Paediatr Neurol. (2010) 14:146–9. doi: 10.1016/j.ejpn.2009.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Di Martino A, Tuchman RF. Antiepileptic drugs: affective use in autism spectrum disorders. Pediatr Neurol. (2001) 25:199–207. doi: 10.1016/S0887-8994(01)00276-4

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Krueger DA, Care MM, Holland K, Agricola K, Tudor C, Mangeshkar P, et al. Everolimus for subependymal giant-cell astrocytomas in tuberous sclerosis. N Engl J Med. (2010) 363:1801–11. doi: 10.1056/NEJMoa1001671

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Wegiel J, Kuchna I, Nowicki K, Imaki H, Wegiel J, Marchi E, et al. The neuropathology of autism: defects of neurogenesis and neuronal migration, and dysplastic changes. Acta Neuropathol. (2010) 119:755–70. doi: 10.1007/s00401-010-0655-4

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Gilby KL, O'Brien TJ. Epilepsy, autism, and neurodevelopment: kindling a shared vulnerability? Epilepsy Behav. (2013) 26:370–4. doi: 10.1016/j.yebeh.2012.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Lo-Castro A, Curatolo P. Epilepsy associated with autism and attention deficit hyperactivity disorder: is there a genetic link? Brain Dev. (2014) 36:185–93. doi: 10.1016/j.braindev.2013.04.013

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Tuchman R. Autism and social cognition in epilepsy: implications for comprehensive epilepsy care. Curr Opin Neurol. (2013) 26:214–8. doi: 10.1097/WCO.0b013e32835ee64f

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Mefford HC, Batshaw ML, Hoffman EP. Genomics, intellectual disability, and autism. N Engl J Med. (2012) 366:733–43. doi: 10.1056/NEJMra1114194

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Lesca G, Rudolf G, Labalme A, Hirsch E, Arzimanoglou A, Genton P, et al. Epileptic encephalopathies of the Landau-Kleffner and continuous spike and waves during slow-wave sleep types: genomic dissection makes the link with autism. Epilepsia (2012) 53:1526–38. doi: 10.1111/j.1528-1167.2012.03559.x

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Bolton PF, Park RJ, Higgins JNP, Griffiths PD, Pickles A. Neuro-epileptic determinants of autism spectrum disorders in tuberous sclerosis complex. Brain (2002) 125:1247–55. doi: 10.1093/brain/awf124

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Wolff M, Cassé-Perrot C, Dravet C. Severe myoclonic epilepsy of infants (Dravet syndrome): natural history and neuropsychological findings. Epilepsia (2006) 47:45–8. doi: 10.1111/j.1528-1167.2006.00688.x

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Trillingsgaard A, Østergaard JR. Autism in Angelman syndrome: an exploration of comorbidity. Autism (2004) 8:163–74. doi: 10.1177/1362361304042720

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Tye C, Thomas LE, Sampson JR, Lewis J, O'Callaghan F, Yates JRW, et al. Secular changes in severity of intellectual disability in tuberous sclerosis complex: a reflection of improved identification and treatment of epileptic spasms? Epilepsia Open. (2018) 3:276–80. doi: 10.1002/epi4.12111

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Dravet C. The core Dravet syndrome phenotype. Epilepsia (2011) 52:3–9. doi: 10.1111/j.1528-1167.2011.02994.x

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Al Ageeli E, Drunat S, Delanoë C, Perrin L, Baumann C, Capri Y, et al. Duplication of the 15q11-q13 region: clinical and genetic study of 30 new cases. Eur J Med Genet. (2014) 57:5–14. doi: 10.1016/j.ejmg.2013.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Lee BH, Smith T, Paciorkowski AR. Autism spectrum disorder and epilepsy: disorders with a shared biology. Epilepsy Behav. (2015) 47:191–201. doi: 10.1016/j.yebeh.2015.03.017

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Jacob J. Cortical interneuron dysfunction in epilepsy associated with autism spectrum disorders. Epilepsia (2016) 57:182–93. doi: 10.1111/epi.13272

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Vestergaard M, Mork A, Madsen KM, Olsen J. Paternal age and epilepsy in the offspring. Eur J Epidemiol. (2005) 20:1003–5. doi: 10.1007/s10654-005-4250-2

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Vargas DL, Nascimbene C, Krishnan C, Zimmerman AW, Pardo CA. Neuroglial activation and neuroinflammation in the brain of patients with autism. Ann Neurol Off J Am Neurol Assoc Child Neurol Soc. (2005) 57:67–81. doi: 10.1002/ana.20315

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Vezzani A, Aronica E, Mazarati A, Pittman QJ. Epilepsy and brain inflammation. Exp Neurol. (2013) 244:11–21. doi: 10.1016/j.expneurol.2011.09.033

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Krakowiak P, Goodlin-Jones B, Hertz-Picciotto I, Croen LA, Hansen RL. Sleep problems in children with autism spectrum disorders, developmental delays, and typical development: a population-based study. J Sleep Res. (2008) 17:197–206. doi: 10.1111/j.1365-2869.2008.00650.x

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Liu X, Hubbard JA, Fabes RA, Adam JB. Sleep disturbances and correlates of children with autism spectrum disorders. Child Psychiatry Hum Dev. (2006) 37:179–91. doi: 10.1007/s10578-006-0028-3

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Polimeni MA, Richdale AL, Francis AJ. A survey of sleep problems in autism, Asperger's disorder and typically developing children. J Intellect Disabil Res. (2005) 49(Pt 4):260–8. doi: 10.1111/j.1365-2788.2005.00642.x

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Wiggs L, Stores G. Sleep patterns and sleep disorders in children with autistic spectrum disorders: insights using parent report and actigraphy. Dev Med Child Neurol. (2004) 46:372–80. doi: 10.1017/S0012162204000611

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Richdale AL, Schreck KA. Sleep problems in autism spectrum disorders: prevalence, nature, & possible biopsychosocial aetiologies. Sleep Med Rev. (2009) 13:403–11. doi: 10.1016/j.smrv.2009.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Goldman SE, Richdale AL, Clemons T, Malow BA. Parental sleep concerns in autism spectrum disorders: variations from childhood to adolescence. J Autism Dev Disord. (2012) 42:531–8. doi: 10.1007/s10803-011-1270-5

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Souders MC, Mason TB, Valladares O, Bucan M, Levy SE, Mandell DS, et al. Sleep behaviors and sleep quality in children with autism spectrum disorders. Sleep (2009) 32:1566–78. doi: 10.1093/sleep/32.12.1566

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Buckley AW, Rodriguez AJ, Jennison K, Buckley J, Thurm A, Sato S, et al. Rapid eye movement sleep percentage in children with autism compared with children with developmental delay and typical development. Arch Pediatr Adolesc Med. (2010) 164:1032–7. doi: 10.1001/archpediatrics.2010.202

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Lipton J, Becker RE, Kothare S V. Insomnia of childhood. Curr Opin Pediatr. (2008) 20:641–9. doi: 10.1097/MOP.0b013e32831897cb

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Baker E, Richdale A, Short M, Gradisar M. An investigation of sleep patterns in adolescents with high-functioning autism spectrum disorder compared with typically developing adolescents. Dev Neurorehabil. (2013) 16:155–65. doi: 10.3109/17518423.2013.765518

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Richdale AL, Baker E, Short M, Gradisar M. The role of insomnia, pre-sleep arousal and psychopathology symptoms in daytime impairment in adolescents with high-functioning autism spectrum disorder. Sleep Med. (2014) 15:1082–8. doi: 10.1016/j.sleep.2014.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Hoffman CD, Sweeney DP, Gilliam JE, Apodaca DD, Lopez-Wagner MC, Castillo MM. Sleep problems and symptomology in children with autism. Focus Autism Other Dev Disabl. (2005) 20:194–200. doi: 10.1177/10883576050200040101

CrossRef Full Text | Google Scholar

93. Schreck KA, Mulick JA, Smith AF. Sleep problems as possible predictors of intensified symptoms of autism. Res Dev Disabil. (2004) 25:57–66. doi: 10.1016/j.ridd.2003.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Malow BA, Marzec ML, McGrew SG, Wang L, Henderson LM, Stone WL. Characterizing sleep in children with autism spectrum disorders: a multidimensional approach. Sleep (2006) 29:1563–71. doi: 10.1093/sleep/29.12.1563

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Veatch OJ, Sutcliffe JS, Warren ZE, Keenan BT, Potter MH, Malow BA. Shorter sleep duration is associated with social impairment and comorbidities in ASD. Autism Res. (2017) 10:1221–38. doi: 10.1002/aur.1765

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Tudor ME, Hoffman CD, Sweeney DP. Children with autism: sleep problems and symptom severity. Focus Autism Other Dev Disabl. (2012) 27:254–62. doi: 10.1177/1088357612457989

CrossRef Full Text | Google Scholar

97. Giannotti F, Cortesi F, Cerquiglini A, Vagnoni C, Valente D. Sleep in children with autism with and without autistic regression. J Sleep Res. (2011) 20:338–47. doi: 10.1111/j.1365-2869.2010.00882.x

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Cohen S, Fulcher BD, Rajaratnam SMW, Conduit R, Sullivan JP, St Hilaire MA, et al. Behaviorally-determined sleep phenotypes are robustly associated with adaptive functioning in individuals with low functioning autism. Sci Rep. (2017) 7:14228. doi: 10.1038/s41598-017-14611-6

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Cohen S, Fulcher BD, Rajaratnam SMW, Conduit R, Sullivan JP, St Hilaire MA, et al. Sleep patterns predictive of daytime challenging behavior in individuals with low-functioning autism. Autism Res. (2018) 11:391–403. doi: 10.1002/aur.1899

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Reynolds AM, Malow BA. Sleep and autism spectrum disorders. Pediatr Clin North Am. (2011) 58:685–98. doi: 10.1016/j.pcl.2011.03.009

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Wallace ML, McMakin DL, Tan PZ, Rosen D, Forbes EE, Ladouceur CD, et al. The role of day-to-day emotions, sleep, and social interactions in pediatric anxiety treatment. Behav Res Ther. (2017) 90:87–95. doi: 10.1016/j.brat.2016.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Tani P, Lindberg N, Nieminen-von Wendt T, von Wendt L, Virkkala J, Appelberg B, et al. Sleep in young adults with Asperger syndrome. Neuropsychobiology (2004) 50:147–52. doi: 10.1159/000079106

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Bruni O, Ferri R, Vittori E, Novelli L, Vignati M, Porfirio MC, et al. Sleep architecture and NREM alterations in children and adolescents with Asperger syndrome. Sleep (2007) 30:1577–85. doi: 10.1093/sleep/30.11.1577

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Paavonen EJ, Nieminen-von Wendt T, Vanhala R, Aronen ET, von Wendt L. Effectiveness of melatonin in the treatment of sleep disturbances in children with Asperger disorder. J Child Adolesc Psychopharmacol. (2003) 13:83–95. doi: 10.1089/104454603321666225

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Antshel KM, Zhang-James Y, Wagner KE, Ledesma A, Faraone S V. An update on the comorbidity of ADHD and ASD: a focus on clinical management. Expert Rev Neurother. (2016) 16:279–93. doi: 10.1586/14737175.2016.1146591

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Goldman SE, Surdyka K, Cuevas R, Adkins K, Wang L, Malow BA. Defining the sleep phenotype in children with autism. Dev Neuropsychol. (2009) 34:560–73. doi: 10.1080/87565640903133509

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Rossignol DA, Frye RE. Melatonin in autism spectrum disorders: a systematic review and meta-analysis. Dev Med Child Neurol. (2011) 53:783–92. doi: 10.1111/j.1469-8749.2011.03980.x

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Gringras P, Findling RL, Nir T, Zisapel N. Short and long term prolonged release melatonin treatment for sleep disorders in children with autism spectrum disorders: results of a phase III randomized clinical trial. Sleep Med. (2017) 40:e119. doi: 10.1016/j.sleep.2017.11.347

CrossRef Full Text | Google Scholar

109. Gujar N, McDonald SA, Nishida M, Walker MP. A role for REM sleep in recalibrating the sensitivity of the human brain to specific emotions. Cereb Cortex (2011) 21:115–23. doi: 10.1093/cercor/bhq064

PubMed Abstract | CrossRef Full Text | Google Scholar

110. van der Helm E, Gujar N, Walker MP. Sleep deprivation impairs the accurate recognition of human emotions. Sleep (2010) 33:335–42. doi: 10.1093/sleep/33.3.335

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Hollway JA, Aman MG. Pharmacological treatment of sleep disturbance in developmental disabilities: a review of the literature. Res Dev Disabil. (2011) 32:939–62. doi: 10.1016/j.ridd.2010.12.035

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Maayan L, Correll CU. Weight gain and metabolic risks associated with antipsychotic medications in children and adolescents. J Child Adolesc Psychopharmacol. (2011) 21:517–35. doi: 10.1089/cap.2011.0015

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Broder-Fingert S, Brazauskas K, Lindgren K, Iannuzzi D, Van Cleave J. Prevalence of overweight and obesity in a large clinical sample of children with autism. Acad Pediatr. (2014) 14:408–14. doi: 10.1016/j.acap.2014.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Charrier A, Olliac B, Roubertoux P, Tordjman S. Clock genes and altered sleep–wake rhythms: their role in the development of psychiatric disorders. Int J Mol Sci. (2017) 18:938. doi: 10.3390/ijms18050938

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Pizzarelli R, Cherubini E. Alterations of GABAergic signaling in autism spectrum disorders. Neural Plast. (2011) 2011:297153. doi: 10.1155/2011/297153

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Melke J, Botros HG, Chaste P, Betancur C, Nygren G, Anckarsäter H, et al. Abnormal melatonin synthesis in autism spectrum disorders. Mol Psychiatry (2007) 13:90–8. doi: 10.1038/sj.mp.4002016

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Bourgeron T. The possible interplay of synaptic and clock genes in autism spectrum disorders. Cold Spring Harb Symp Quant Biol. (2007) 72:645–54. doi: 10.1101/sqb.2007.72.020

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Yang Z, Matsumoto A, Nakayama K, Jimbo EF, Kojima K, Nagata K, et al. Circadian-relevant genes are highly polymorphic in autism spectrum disorder patients. Brain Dev. (2016) 38:91–9. doi: 10.1016/j.braindev.2015.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Ebisawa T. Circadian rhythms in the CNS and peripheral clock disorders: human sleep disorders and clock genes. J Pharmacol Sci. (2007) 103:150–4. doi: 10.1254/jphs.FMJ06003X5

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Nicholas B, Rudrasingham V, Nash S, Kirov G, Owen MJ, Wimpory DC. Association of Per1 and Npas2 with autistic disorder: support for the clock genes/social timing hypothesis. Mol Psychiatry (2007) 12:581. doi: 10.1038/sj.mp.4001953

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Glickman G. Circadian rhythms and sleep in children with autism. Neurosci Biobehav Rev. (2010) 34:755–68. doi: 10.1016/j.neubiorev.2009.11.017

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Campbell DJ, Chang J, Chawarska K. Early generalized overgrowth in autism spectrum disorder: prevalence rates, gender effects, and clinical outcomes. J Am Acad Child Adolesc Psychiatry (2014) 53:1063–73. doi: 10.1016/j.jaac.2014.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Coury DL, Ashwood P, Fasano A, Fuchs G, Geraghty M, Kaul A, et al. Gastrointestinal conditions in children with autism spectrum disorder: developing a research agenda. Pediatrics (2012) 130(Suppl. 2):S160–8. doi: 10.1542/peds.2012-0900N

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Parracho HMRT, Bingham MO, Gibson GR, McCartney AL. Differences between the gut microflora of children with autistic spectrum disorders and that of healthy children. J Med Microbiol. (2005) 54:987–91. doi: 10.1099/jmm.0.46101-0

PubMed Abstract | CrossRef Full Text | Google Scholar

125. McElhanon BO, McCracken C, Karpen S, Sharp WG. Gastrointestinal symptoms in autism spectrum disorder: a meta-analysis. Pediatrics (2014) 133:872–83. doi: 10.1542/peds.2013-3995

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Buie T, Fuchs GJ, Furuta GT, Kooros K, Levy J, Lewis JD, et al. Recommendations for evaluation and treatment of common gastrointestinal problems in children with ASDs. Pediatrics (2010) 125(Suppl. 1):S19–29. doi: 10.1542/peds.2009-1878D

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Nikolov RN, Bearss KE, Lettinga J, Erickson C, Rodowski M, Aman MG, et al. Gastrointestinal symptoms in a sample of children with pervasive developmental disorders. J Autism Dev Disord. (2009) 39:405–13. doi: 10.1007/s10803-008-0637-8

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Mazurek MO, Vasa RA, Kalb LG, Kanne SM, Rosenberg D, Keefer A, et al. Anxiety, sensory over-responsivity, and gastrointestinal problems in children with autism spectrum disorders. J Abnorm Child Psychol. (2013) 41:165–76. doi: 10.1007/s10802-012-9668-x

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Mazefsky CA, Schreiber DR, Olino TM, Minshew NJ. The association between emotional and behavioral problems and gastrointestinal symptoms among children with high-functioning autism. Autism (2014) 18:493–501. doi: 10.1177/1362361313485164

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Chandler S, Carcani-Rathwell I, Charman T, Pickles A, Loucas T, Meldrum D, et al. Parent-reported gastro-intestinal symptoms in children with autism spectrum disorders. J Autism Dev Disord. (2013) 43:2737–47. doi: 10.1007/s10803-013-1768-0

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Prosperi M, Santocchi E, Balboni G, Narzisi A, Bozza M, Fulceri F, et al. Behavioral phenotype of ASD preschoolers with gastrointestinal symptoms or food selectivity. J Autism Dev Disord. (2017) 47:3574–88. doi: 10.1007/s10803-017-3271-5

CrossRef Full Text | Google Scholar

132. Geraghty ME, Depasquale GM, Lane AE. Nutritional intake and therapies in autism: a spectrum of what we know: part 1. ICAN Infant Child Adolesc Nutr. (2010) 2:62–9. doi: 10.1177/1941406409358437

CrossRef Full Text | Google Scholar

133. Chaidez V, Hansen RL, Hertz-Picciotto I. Gastrointestinal problems in children with autism, developmental delays or typical development. J Autism Dev Disord. (2014) 44:1117–27. doi: 10.1007/s10803-013-1973-x

CrossRef Full Text | Google Scholar

134. Maenner MJ, Arneson CL, Levy SE, Kirby RS, Nicholas JS, Durkin MS. Brief report: association between behavioral features and gastrointestinal problems among children with autism spectrum disorder. J Autism Dev Disord. (2012) 42:1520–5. doi: 10.1007/s10803-011-1379-6

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Molloy CA, Manning-Courtney P. Prevalence of chronic gastrointestinal symptoms in children with autism and autistic spectrum disorders. Autism (2003) 7:165–71. doi: 10.1177/1362361303007002004

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Gorrindo P, Williams KC, Lee EB, Walker LS, McGrew SG, Levitt P. Gastrointestinal dysfunction in autism: parental report, clinical evaluation, and associated factors. Autism Res. (2012) 5:101–8. doi: 10.1002/aur.237

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Wang LW, Tancredi DJ, Thomas DW. The prevalence of gastrointestinal problems in children across the United States with autism spectrum disorders from families with multiple affected members. J Dev Behav Pediatr. (2011) 32:351–60. doi: 10.1097/DBP.0b013e31821bd06a

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Sathe N, Andrews JC, McPheeters ML, Warren ZE. Nutritional and dietary interventions for autism spectrum disorder: a systematic review. Pediatrics (2017) 139:e20170346. doi: 10.1542/peds.2017-0346

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Hediger ML, England LJ, Molloy CA, Yu KF, Manning-Courtney P, Mills JL. Reduced bone cortical thickness in boys with autism or autism spectrum disorder. J Autism Dev Disord. (2008) 38:848–56. doi: 10.1007/s10803-007-0453-6

CrossRef Full Text | Google Scholar

140. Williams BL, Hornig M, Buie T, Bauman ML, Cho Paik M, Wick I, et al. Impaired carbohydrate digestion and transport and mucosal dysbiosis in the intestines of children with autism and gastrointestinal disturbances. PLoS ONE (2011) 6:e24585. doi: 10.1371/journal.pone.0024585

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Gondalia S V, Palombo EA, Knowles SR, Cox SB, Meyer D, Austin DW. Molecular characterisation of gastrointestinal microbiota of children with autism (with and without gastrointestinal dysfunction) and their neurotypical siblings. Autism Res. (2012) 5:419–27. doi: 10.1002/aur.1253

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Kang D-W, Park JG, Ilhan ZE, Wallstrom G, LaBaer J, Adams JB, et al. Reduced incidence of Prevotella and other fermenters in intestinal microflora of autistic children. PLoS ONE (2013) 8:e68322. doi: 10.1371/journal.pone.0068322

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Finegold SM, Dowd SE, Gontcharova V, Liu C, Henley KE, Wolcott RD, et al. Pyrosequencing study of fecal microflora of autistic and control children. Anaerobe (2010) 16:444–53. doi: 10.1016/j.anaerobe.2010.06.008

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Louis P. Does the human gut microbiota contribute to the etiology of autism spectrum disorders? Dig Dis Sci. (2012) 57:1987–9. doi: 10.1007/s10620-012-2286-1

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Kang D-W, Adams JB, Gregory AC, Borody T, Chittick L, Fasano A, et al. Microbiota transfer therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study. Microbiome (2017) 5:10. doi: 10.1186/s40168-016-0225-7

PubMed Abstract | CrossRef Full Text | Google Scholar

146. Ding HT, Taur Y, Walkup JT. Gut microbiota and autism: key concepts and findings. J Autism Dev Disord. (2017) 47:480–9. doi: 10.1007/s10803-016-2960-9

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Li Q, Han Y, Dy ABC, Hagerman RJ. The gut microbiota and autism spectrum disorders. Front Cell Neurosci. (2017) 11:120. doi: 10.3389/fncel.2017.00120

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Mulloy A, Lang R, O'Reilly M, Sigafoos J, Lancioni G, Rispoli M. Gluten-free and casein-free diets in the treatment of autism spectrum disorders: a systematic review. Res Autism Spectr Disord. (2010) 4:328–39. doi: 10.1016/j.rasd.2009.10.008

CrossRef Full Text | Google Scholar

149. de Theije CGM, Wu J, da Silva SL, Kamphuis PJ, Garssen J, Korte SM, et al. Pathways underlying the gut-to-brain connection in autism spectrum disorders as future targets for disease management. Eur J Pharmacol. (2011) 668(Suppl. 1):S70–80. doi: 10.1016/j.ejphar.2011.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

150. Israelyan N, Margolis KG. Serotonin as a link between the gut-brain-microbiome axis in autism spectrum disorders. Pharmacol Res. (2018) 132:1–6. doi: 10.1016/j.phrs.2018.03.020

PubMed Abstract | CrossRef Full Text | Google Scholar

151. Chugani DC, Muzik O, Behen M, Rothermel R, Janisse JJ, Lee J, et al. Developmental changes in brain serotonin synthesis capacity in autistic and nonautistic children. Ann Neurol. (1999) 45:287–95. doi: 10.1002/1531-8249(199903)45:3<287::AID-ANA3>3.0.CO;2-9

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Mayer EA. Gut feelings: the emerging biology of gut-brain communication. Nat Rev Neurosci. (2011) 12:453–66. doi: 10.1038/nrn3071

PubMed Abstract | CrossRef Full Text | Google Scholar

153. De Palma G, Collins SM, Bercik P, Verdu EF. The microbiota–gut–brain axis in gastrointestinal disorders: stressed bugs, stressed brain or both? J Physiol. (2014) 592:2989–97. doi: 10.1113/jphysiol.2014.273995

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Williams K, Wheeler DM, Silove N, Hazell P. Selective serotonin reuptake inhibitors (SSRIs) for autism spectrum disorders (ASD). Cochrane Database Syst Rev. (2013) 6:CD004677. doi: 10.1002/14651858.CD004677.pub3

CrossRef Full Text | Google Scholar

155. Campbell DB, Buie TM, Winter H, Bauman M, Sutcliffe JS, Perrin JM, et al. Distinct genetic risk based on association of MET in families with co-occurring autism and gastrointestinal conditions. Pediatrics (2009) 123:1018–24. doi: 10.1542/peds.2008-0819

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Campbell DB, D'Oronzio R, Garbett K, Ebert PJ, Mirnics K, Levitt P, et al. Disruption of cerebral cortex MET signaling in autism spectrum disorder. Ann Neurol Off J Am Neurol Assoc Child Neurol Soc. (2007) 62:243–50. doi: 10.1002/ana.21180

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Prasad HC, Steiner JA, Sutcliffe JS, Blakely RD. Enhanced activity of human serotonin transporter variants associated with autism. Philos Trans R Soc B Biol Sci. (2009) 364:163–73. doi: 10.1098/rstb.2008.0143

PubMed Abstract | CrossRef Full Text | Google Scholar

158. Berger M, Gray JA, Roth BL. The expanded biology of serotonin. Annu Rev Med. (2009) 60:355–66. doi: 10.1146/annurev.med.60.042307.110802

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Veenstra-VanderWeele J, Muller CL, Iwamoto H, Sauer JE, Owens WA, Shah CR, et al. Autism gene variant causes hyperserotonemia, serotonin receptor hypersensitivity, social impairment and repetitive behavior. Proc Natl Acad Sci USA. (2012) 109:5469–74. doi: 10.1073/pnas.1112345109

PubMed Abstract | CrossRef Full Text | Google Scholar

160. Margolis KG, Li Z, Stevanovic K, Saurman V, Israelyan N, Anderson GM, et al. Serotonin transporter variant drives preventable gastrointestinal abnormalities in development and function. J Clin Invest. (2016) 126:2221–35. doi: 10.1172/JCI84877

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Atladóttir HÓ, Pedersen MG, Thorsen P, Mortensen PB, Deleuran B, Eaton WW, et al. Association of family history of autoimmune diseases and autism spectrum disorders. Pediatrics (2009) 124:687–94. doi: 10.1542/peds.2008-2445

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Comi AM, Zimmerman AW, Frye VH, Law PA, Peeden JN. Familial clustering of autoimmune disorders and evaluation of medical risk factors in autism. J Child Neurol. (1999) 14:388–94. doi: 10.1177/088307389901400608

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Enstrom AM, Van de Water JA, Ashwood P. Autoimmunity in autism. Curr Opin Investig Drugs (2009) 10:463–73.

PubMed Abstract | Google Scholar

164. Valicenti-McDermott M, McVicar K, Rapin I, Wershil BK, Cohen H, Shinnar S. Frequency of gastrointestinal symptoms in children with autistic spectrum disorders and association with family history of autoimmune disease. J Dev Behav Pediatr. (2006) 27(Suppl. 2):S128–36. doi: 10.1097/00004703-200604002-00011

PubMed Abstract | CrossRef Full Text | Google Scholar

165. 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. doi: 10.1016/j.bbi.2008.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Croen LA, Braunschweig D, Haapanen L, Yoshida CK, Fireman B, Grether JK, et al. Maternal mid-pregnancy autoantibodies to fetal brain protein: the early markers for autism study. Biol Psychiatry (2008) 64:583–8. doi: 10.1016/j.biopsych.2008.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

167. 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) 194:165–72. doi: 10.1016/j.jneuroim.2007.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

168. Zimmerman AW, Connors SL, Matteson KJ, Lee LC, Singer HS, Castaneda JA, et al. Maternal antibrain antibodies in autism. Brain Behav Immun. (2007) 21:351–7. doi: 10.1016/j.bbi.2006.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

169. Heuer L, Braunschweig D, Ashwood P, Van de Water J, Campbell DB. Association of a MET genetic variant with autism-associated maternal autoantibodies to fetal brain proteins and cytokine expression. Transl Psychiatry (2011) 1:e48. doi: 10.1038/tp.2011.48

PubMed Abstract | CrossRef Full Text | Google Scholar

170. Moynihan JA, Santiago FM. Brain behavior and immunity: twenty years of T cells. Brain Behav Immun. (2007) 21:872–80. doi: 10.1016/j.bbi.2007.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

171. Chen M-H, Su T-P, Chen Y-S, Hsu J-W, Huang K-L, Chang W-H, et al. Comorbidity of allergic and autoimmune diseases in patients with autism spectrum disorder: a nationwide population-based study. Res Autism Spectr Disord. (2013) 7:205–12. doi: 10.1016/j.rasd.2012.08.008

CrossRef Full Text | Google Scholar

172. Miyazaki C, Koyama M, Ota E, Swa T, Amiya RM, Mlunde LB, et al. Allergies in children with autism spectrum disorder: a systematic review and meta-analysis. Rev J Autism Dev Disord. (2015) 2:374–401. doi: 10.1007/s40489-015-0059-4

CrossRef Full Text | Google Scholar

173. Zerbo O, Leong A, Barcellos L, Bernal P, Fireman B, Croen LA. Immune mediated conditions in autism spectrum disorders. Brain Behav Immun. (2015) 46:232–6. doi: 10.1016/j.bbi.2015.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

174. Gurney JG, McPheeters ML, Davis MM. Parental report of health conditions and health care use among children with and without autism: National Survey of Children's Health. Arch Pediatr Adolesc Med. (2006) 160:825–30. doi: 10.1001/archpedi.160.8.825

PubMed Abstract | CrossRef Full Text | Google Scholar

175. Chen M-H, Su T-P, Chen Y-S, Hsu J-W, Huang K-L, Chang W-H, et al. Is atopy in early childhood a risk factor for ADHD and ASD? A longitudinal study. J Psychosom Res. (2014) 77:316–21. doi: 10.1016/j.jpsychores.2014.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

176. Ashwood P, Krakowiak P, Hertz-Picciotto I, Hansen R, Pessah IN, Van de Water J. Associations of impaired behaviors with elevated plasma chemokines in autism spectrum disorders. J Neuroimmunol. (2011) 232:196–9. doi: 10.1016/j.jneuroim.2010.10.025

PubMed Abstract | CrossRef Full Text | Google Scholar

177. Hashim H, Abdelrahman H, Mohammed D, Karam R. Association between plasma levels of transforming growth factor-β1, IL-23 and IL-17 and the severity of autism in Egyptian children. Res Autism Spectr Disord. (2013) 7:199–204. doi: 10.1016/j.rasd.2012.08.007

CrossRef Full Text | Google Scholar

178. Ashwood P, Enstrom A, Krakowiak P, Hertz-Picciotto I, Hansen RL, Croen LA, et al. Decreased transforming growth factor beta1 in autism: a potential link between immune dysregulation and impairment in clinical behavioral outcomes. J Neuroimmunol. (2008) 204:149–53. doi: 10.1016/j.jneuroim.2008.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

179. Al-Ayadhi LY, Mostafa GA. Elevated serum levels of interleukin-17A in children with autism. J Neuroinflammation (2012) 9:158. doi: 10.1186/1742-2094-9-158

PubMed Abstract | CrossRef Full Text | Google Scholar

180. Masi A, Breen EJ, Alvares GA, Glozier N, Hickie IB, Hunt A, et al. Cytokine levels and associations with symptom severity in male and female children with autism spectrum disorder. Mol Autism. (2017) 8:63. doi: 10.1186/s13229-017-0176-2

PubMed Abstract | CrossRef Full Text | Google Scholar

181. Molloy CA, Morrow AL, Meinzen-Derr J, Dawson G, Bernier R, Dunn M, et al. Familial autoimmune thyroid disease as a risk factor for regression in children with autism spectrum disorder: a CPEA study. J Autism Dev Disord. (2006) 36:317–24. doi: 10.1007/s10803-005-0071-0

PubMed Abstract | CrossRef Full Text | Google Scholar

182. Choi JE, Widjaja F, Careaga M, Bent S, Ashwood P, Hendren RL. Change in plasma cytokine levels during risperidone treatment in children with autism. J Child Adolesc Psychopharmacol. (2014) 24:586–9. doi: 10.1089/cap.2013.0108

PubMed Abstract | CrossRef Full Text | Google Scholar

183. Tobiasova Z, van der Lingen KHB, Scahill L, Leckman JF, Zhang Y, Chae W, et al. Risperidone-related improvement of irritability in children with autism is not associated with changes in serum of epidermal growth factor and interleukin-13. J Child Adolesc Psychopharmacol. (2011) 21:555–64. doi: 10.1089/cap.2010.0134

CrossRef Full Text | Google Scholar

184. Asadabadi M, Mohammadi MR, Ghanizadeh A, Modabbernia A, Ashrafi M, Hassanzadeh E, et al. Celecoxib as adjunctive treatment to risperidone in children with autistic disorder: a randomized, double-blind, placebo-controlled trial. Psychopharmacol. (2013) 225:51–9. doi: 10.1007/s00213-012-2796-8

PubMed Abstract | CrossRef Full Text | Google Scholar

185. Chez MG, Guido-Estrada N. Immune therapy in autism: historical experience and future directions with immunomodulatory therapy. Neurotherapeutics (2010) 7:293–301. doi: 10.1016/j.nurt.2010.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

186. McDougle CJ, Landino SM, Vahabzadeh A, O'Rourke J, Zurcher NR, Finger BC, et al. Toward an immune-mediated subtype of autism spectrum disorder. Brain Res. (2014) 1617:72–92. doi: 10.1016/j.brainres.2014.09.048

PubMed Abstract | CrossRef Full Text | Google Scholar

187. Chez MG, Loeffel M, Buchanan CP, Field-Chez M. Pulse high-dose steroids as combination therapy with valproic acid in epileptic aphasia patients with pervasive developmental delay or autism. Ann Neurol. (1998) 44:539.

188. Chez M, Low R, Parise C, Donnel T. Safety and observations in a pilot study of lenalidomide for treatment in autism. Autism Res Treat. (2012) 2012:291601. doi: 10.1155/2012/291601

PubMed Abstract | CrossRef Full Text | Google Scholar

189. Deshmukh CT. Minimizing side effects of systemic corticosteroids in children. Indian J Dermatol Venereol Leprol. (2007) 73:218–21. doi: 10.4103/0378-6323.33633

PubMed Abstract | CrossRef Full Text | Google Scholar

190. Onore C, Careaga M, Ashwood P. The role of immune dysfunction in the pathophysiology of autism. Brain Behav Immun. (2012) 26:383–92. doi: 10.1016/j.bbi.2011.08.007

PubMed Abstract | CrossRef Full Text | Google Scholar

191. Hughes HK, Mills Ko E, Rose D, Ashwood P. Immune dysfunction and autoimmunity as pathological mechanisms in autism spectrum disorders. Front Cell Neurosci. (2018) 12:405. doi: 10.3389/fncel.2018.00405

PubMed Abstract | CrossRef Full Text | Google Scholar

192. Chen S-W, Zhong X-S, Jiang L-N, Zheng X-Y, Xiong Y-Q, Ma S-J, et al. Maternal autoimmune diseases and the risk of autism spectrum disorders in offspring: a systematic review and meta-analysis. Behav Brain Res. (2016) 296:61–9. doi: 10.1016/j.bbr.2015.08.035

PubMed Abstract | CrossRef Full Text | Google Scholar

193. Wu S, Ding Y, Wu F, Li R, Xie G, Hou J, et al. Family history of autoimmune diseases is associated with an increased risk of autism in children: a systematic review and meta-analysis. Neurosci Biobehav Rev. (2015) 55:322–32. doi: 10.1016/j.neubiorev.2015.05.004

PubMed Abstract | CrossRef Full Text | Google Scholar

194. Pinto D, Pagnamenta AT, Klei L, Anney R, Merico D, Regan R, et al. Functional impact of global rare copy number variation in autism spectrum disorders. Nature (2010) 466:368–72. doi: 10.1038/nature09146

PubMed Abstract | CrossRef Full Text | Google Scholar

195. De Rubeis S, He X, Goldberg AP, Poultney CS, Samocha K, Cicek AE, et al. Synaptic, transcriptional and chromatin genes disrupted in autism. Nature (2014) 515:209–15. doi: 10.1038/nature13772

PubMed Abstract | CrossRef Full Text | Google Scholar

196. Daniels WW, Warren RP, Odell JD, Maciulis A, Burger RA, Warren WL, et al. Increased frequency of the extended or ancestral haplotype B44-SC30-DR4 in autism. Neuropsychobiology (1995) 32:120–3. doi: 10.1159/000119223

PubMed Abstract | CrossRef Full Text | Google Scholar

197. Lee LC, Zachary AA, Leffell MS, Newschaffer CJ, Matteson KJ, Tyler JD, et al. HLA-DR4 in families with autism. Pediatr Neurol. (2006) 35:303–7. doi: 10.1016/j.pediatrneurol.2006.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

198. Stubbs EG, Magenis RE. HLA and autism. J Autism Dev Disord. (1980) 10:15–9. doi: 10.1007/BF02408429

PubMed Abstract | CrossRef Full Text | Google Scholar

199. Torres AR, Maciulis A, Stubbs EG, Cutler A, Odell D. The transmission disequilibrium test suggests that HLA-DR4 and DR13 are linked to autism spectrum disorder. Hum Immunol. (2002) 63:311–6. doi: 10.1016/S0198-8859(02)00374-9

PubMed Abstract | CrossRef Full Text | Google Scholar

200. Ashwood P, Van de Water J. A review of autism and the immune response. Clin Dev Immunol. (2004) 11:165–74. doi: 10.1080/10446670410001722096

PubMed Abstract | CrossRef Full Text | Google Scholar

201. Torres AR, Sweeten TL, Cutler A, Bedke BJ, Fillmore M, Stubbs EG, et al. The association and linkage of the HLA-A2 class I allele with autism. Human Immunol. (2006) 67:346–51. doi: 10.1016/j.humimm.2006.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

202. Guerini FR, Bolognesi E, Manca S, Sotgiu S, Zanzottera M, Agliardi C, et al. Family-based transmission analysis of HLA genetic markers in Sardinian children with autistic spectrum disorders. Hum Immunol. (2009) 70:184–90. doi: 10.1016/j.humimm.2008.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

203. Guerini FR, Bolognesi E, Chiappedi M, De Silvestri A, Ghezzo A, Zanette M, et al. HLA polymorphisms in Italian children with autism spectrum disorders: results of a family based linkage study. J Neuroimmunol. (2011) 230:135–42. doi: 10.1016/j.jneuroim.2010.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

204. Corbett BA, Kantor AB, Schulman H, Walker WL, Lit L, Ashwood P, et al. A proteomic study of serum from children with autism showing differential expression of apolipoproteins and complement proteins. Mol Psychiatry (2007) 12:292–306. doi: 10.1038/sj.mp.4001943

PubMed Abstract | CrossRef Full Text | Google Scholar

205. Mostafa GA, Shehab AA. The link of C4B null allele to autism and to a family history of autoimmunity in Egyptian autistic children. J Neuroimmunol. (2010) 223:115–9. doi: 10.1016/j.jneuroim.2010.03.025

PubMed Abstract | CrossRef Full Text | Google Scholar

206. Odell D, Maciulis A, Cutler A, Warren L, McMahon WM, Coon H, et al. Confirmation of the association of the C4B null allelle in autism. Hum Immunol. (2005) 66:140–5. doi: 10.1016/j.humimm.2004.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

207. Warren RP, Yonk J, Burger RW, Odell D, Warren WL. DR-positive T cells in autism: association with decreased plasma levels of the complement C4B protein. Neuropsychobiology (1995) 31:53–7. doi: 10.1159/000119172

PubMed Abstract | CrossRef Full Text | Google Scholar

208. Warren RP, Burger RA, Odell D, Torres AR, Warren WL. Decreased plasma concentrations of the C4B complement protein in autism. Arch Pediatr Adolesc Med. (1994) 148:180–3. doi: 10.1001/archpedi.1994.02170020066011

PubMed Abstract | CrossRef Full Text | Google Scholar

209. Campbell DB, Li C, Sutcliffe JS, Persico AM, Levitt P. Genetic evidence implicating multiple genes in the MET receptor tyrosine kinase pathway in autism spectrum disorder. Autism Res. (2008) 1:159–68. doi: 10.1002/aur.27

PubMed Abstract | CrossRef Full Text | Google Scholar

210. Dinarello CA. Proinflammatory cytokines. Chest J. (2000) 118:503–8. doi: 10.1378/chest.118.2.503

PubMed Abstract | CrossRef Full Text | Google Scholar

211. Bauer S, Kerr BJ, Patterson PH. The neuropoietic cytokine family in development, plasticity, disease and injury. Nat Rev Neurosci. (2007) 8:221–32. doi: 10.1038/nrn2054

PubMed Abstract | CrossRef Full Text | Google Scholar

212. Li X, Chauhan A, Sheikh AM, Patil S, Chauhan V, Li X-M, et al. Elevated immune response in the brain of autistic patients. J Neuroimmunol. (2009) 207:111–6. doi: 10.1016/j.jneuroim.2008.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

213. 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) 24:664–73. doi: 10.1007/s10875-004-6241-6

PubMed Abstract | CrossRef Full Text | Google Scholar

214. Jyonouchi H, Sun S, Le H. Proinflammatory and regulatory cytokine production associated with innate and adaptive immune responses in children with autism spectrum disorders and developmental regression. J Neuroimmunol. (2001) 120:170–9. doi: 10.1016/S0165-5728(01)00421-0

PubMed Abstract | CrossRef Full Text | Google Scholar

215. Singh VK. Plasma increase of interleukin-12 and interferon-gamma. Pathological significance in autism. J Neuroimmunol. (1996) 66:143–5. doi: 10.1016/0165-5728(96)00014-8

PubMed Abstract | CrossRef Full Text | Google Scholar

216. Singh VK, Warren RP, Odell JD, Cole P. Changes of soluble interleukin-2, interleukin-2 receptor, T8 antigen, and interleukin-1 in the serum of autistic children. Clin Immunol Immunopathol. (1991) 61:448–55. doi: 10.1016/S0090-1229(05)80015-7

PubMed Abstract | CrossRef Full Text | Google Scholar

217. Constantino JN, Todd RD. Autistic traits in the general population: a twin study. Arch Gen Psychiatry (2003) 60:524–30. doi: 10.1001/archpsyc.60.5.524

PubMed Abstract | CrossRef Full Text | Google Scholar

218. Saresella M, Marventano I, Guerini FR, Mancuso R, Ceresa L, Zanzottera M, et al. An autistic endophenotype results in complex immune dysfunction in healthy siblings of autistic children. Biol Psychiatry (2009) 66:978–84. doi: 10.1016/j.biopsych.2009.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

219. Atladóttir HÓ, Henriksen TB, Schendel DE, Parner ET. Autism after infection, febrile episodes, and antibiotic use during pregnancy: an exploratory study. Pediatrics (2012) 130:e1447–54. doi: 10.1542/peds.2012-1107

PubMed Abstract | CrossRef Full Text | Google Scholar

220. Atladóttir HÓ, Thorsen P, Østergaard L, Schendel DE, Lemcke S, Abdallah M, et al. Maternal infection requiring hospitalization during pregnancy and autism spectrum disorders. J Autism Dev Disord. (2010) 40:1423–30. doi: 10.1007/s10803-010-1006-y

PubMed Abstract | CrossRef Full Text | Google Scholar

221. Brown AS, Sourander A, Hinkka-Yli-Salomäki S, McKeague IW, Sundvall J, Surcel HM. Elevated maternal C-reactive protein and autism in a national birth cohort. Mol Psychiatry (2013) 19:259–64. doi: 10.1038/mp.2012.197

PubMed Abstract | CrossRef Full Text | Google Scholar

222. Chess S. Autism in children with congenital rubella. J Autism Child Schizophr. (1971) 1:33–47. doi: 10.1007/BF01537741

PubMed Abstract | CrossRef Full Text | Google Scholar

223. Deykin EY, MacMahon B. Viral exposure and autism. Am J Epidemiol. (1979) 109:628–38. doi: 10.1093/oxfordjournals.aje.a112726

PubMed Abstract | CrossRef Full Text | Google Scholar

224. Zerbo O, Iosif A-M, Walker C, Ozonoff S, Hansen RL, Hertz-Picciotto I. Is maternal influenza or fever during pregnancy associated with autism or developmental delays? Results from the CHARGE (CHildhood Autism Risks from Genetics and Environment) study. J Autism Dev Disord. (2013) 43:25–33. doi: 10.1007/s10803-012-1540-x

PubMed Abstract | CrossRef Full Text | Google Scholar

225. Zerbo O, Qian Y, Yoshida C, Grether JK, Van de Water J, Croen LA. Maternal infection during pregnancy and autism spectrum disorders. J Autism Dev Disord. (2013) 45:4015–25. doi: 10.1007/s10803-013-2016-3

PubMed Abstract | CrossRef Full Text | Google Scholar

226. Meldrum SJ, Strunk T, Currie A, Prescott SL, Simmer K, Whitehouse AJO. Autism spectrum disorder in children born preterm—role of exposure to perinatal inflammation. Front Neurosci. (2013) 7:123. doi: 10.3389/fnins.2013.00123

PubMed Abstract | CrossRef Full Text | Google Scholar

227. Chess S. Follow-up report on autism in congenital rubella. J Autism Child Schizophr. (1977) 7:69–81. doi: 10.1007/BF01531116

PubMed Abstract | CrossRef Full Text | Google Scholar

228. Libbey JE, Sweeten TL, McMahon WM, Fujinami RS. Autistic disorder and viral infections. J Neurovirol. (2005) 11:1–10. doi: 10.1080/13550280590900553

PubMed Abstract | CrossRef Full Text | Google Scholar

229. Sweeten TL, Posey DJ, McDougle CJ. Brief report: autistic disorder in three children with cytomegalovirus infection. J Autism Dev Disord. (2004) 34:583–6. doi: 10.1007/s10803-004-2552-y

PubMed Abstract | CrossRef Full Text | Google Scholar

230. Meyer U, Nyffeler M, Yee BK, Knuesel I, Feldon J. Adult brain and behavioral pathological markers of prenatal immune challenge during early/middle and late fetal development in mice. Brain Behav Immun. (2008) 22:469–86. doi: 10.1016/j.bbi.2007.09.012

PubMed Abstract | CrossRef Full Text | Google Scholar

231. Hsiao EY, Patterson PH. Activation of the maternal immune system induces endocrine changes in the placenta via IL-6. Brain Behav Immun. (2011) 25:604–15. doi: 10.1016/j.bbi.2010.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

232. Smith SE, Li J, Garbett K, Mirnics K, Patterson PH. Maternal immune activation alters fetal brain development through interleukin-6. J Neurosci. (2007) 27:10695–702. doi: 10.1523/JNEUROSCI.2178-07.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

233. Lasala N, Zhou H. Effects of maternal exposure to LPS on the inflammatory response in the offspring. J Neuroimmunol. (2007) 189:95–101. doi: 10.1016/j.jneuroim.2007.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

234. Mandal M, Marzouk AC, Donnelly R, Ponzio NM. Preferential development of Th17 cells in offspring of immunostimulated pregnant mice. J Reprod Immunol. (2010) 87:97–100. doi: 10.1016/j.jri.2010.06.156

PubMed Abstract | CrossRef Full Text | Google Scholar

235. Mandal M, Marzouk AC, Donnelly R, Ponzio NM. Maternal immune stimulation during pregnancy affects adaptive immunity in offspring to promote development of TH17 cells. Brain Behav Immun. (2011) 25:863–71. doi: 10.1016/j.bbi.2010.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

236. Surriga O, Ortega A, Jadeja V, Bellafronte A, Lasala N, Zhou H. Altered hepatic inflammatory response in the offspring following prenatal LPS exposure. Immunol Lett. (2009) 123:88–95. doi: 10.1016/j.imlet.2009.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

237. Patel S, Masi A, Dale RC, Whitehouse AJO, Pokorski I, Alvares GA, et al. Social impairments in autism spectrum disorder are related to maternal immune history profile. Mol Psychiatry (2018) 23:1794–7. doi: 10.1038/mp.2017.201

PubMed Abstract | CrossRef Full Text | Google Scholar

238. Neumeyer AM, Anixt J, Chan J, Perrin JM, Murray D, Coury DL, et al. Identifying associations among co-occurring medical conditions in children with autism spectrum disorders. Acad Pediatr. (2018). doi: 10.1016/j.acap.2018.06.014. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

239. Li Q, Zhou JM. The microbiota–gut–brain axis and its potential therapeutic role in autism spectrum disorder. Neuroscience (2016) 324:131–9. doi: 10.1016/j.neuroscience.2016.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

240. Romo-Nava F, Alvarez-Icaza González D, Fresán-Orellana A, Saracco Alvarez R, Becerra-Palars C, Moreno J, et al. Melatonin attenuates antipsychotic metabolic effects: an eight-week randomized, double-blind, parallel-group, placebo-controlled clinical trial. Bipolar Disord. (2014) 16:410–21. doi: 10.1111/bdi.12196

PubMed Abstract | CrossRef Full Text | Google Scholar

241. Sommansson A, Saudi WSW, Nylander O, Sjöblom M. Melatonin inhibits alcohol-induced increases in duodenal mucosal permeability in rats in vivo. Am J Physiol Liver Physiol. (2013) 305:G95–105. doi: 10.1152/ajpgi.00074.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

242. Eriksson SH. Epilepsy and sleep. Curr Opin Neurol. (2011) 24:171–6. doi: 10.1097/WCO.0b013e3283445355

PubMed Abstract | CrossRef Full Text | Google Scholar

243. Irwin MR, Olmstead R, Carroll JE. Sleep disturbance, sleep duration, and inflammation: a systematic review and meta-analysis of cohort studies and experimental sleep deprivation. Biol Psychiatry (2016) 80:40–52. doi: 10.1016/j.biopsych.2015.05.014

PubMed Abstract | CrossRef Full Text | Google Scholar

244. Alvares GA, Dawson PA, Dissanayake C, Eapen V, Gratten J, Grove R, et al. Study protocol for the Australian autism biobank: an international resource to advance autism discovery research. BMC Pediatr. (2018) 18:284. doi: 10.1186/s12887-018-1255-z

PubMed Abstract | CrossRef Full Text | Google Scholar

245. Reilly J, Gallagher L, Chen JL, Leader G, Shen S. Bio-collections in autism research. Mol Autism. (2017) 8:34. doi: 10.1186/s13229-017-0154-8

PubMed Abstract | CrossRef Full Text | Google Scholar

246. Fischbach GD, Lord C. The Simons Simplex Collection: a resource for identification of autism genetic risk factors. Neuron (2010) 68:192–5. doi: 10.1016/j.neuron.2010.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

247. Loth E, Charman T, Mason L, Tillmann J, Jones EJH, Wooldridge C, et al. The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders. Mol Autism. (2017) 8:24. doi: 10.1186/s13229-017-0146-8

PubMed Abstract | CrossRef Full Text | Google Scholar

248. Frye RE, Rossignol DA. Treatments for biomedical abnormalities associated with autism spectrum disorder. Front Pediatr. (2014) 2:66. doi: 10.3389/fped.2014.00066

PubMed Abstract | CrossRef Full Text | Google Scholar

249. Thomas MSC, Annaz D, Ansari D, Scerif G, Jarrold C, Karmiloff-Smith A. Using developmental trajectories to understand developmental disorders. J Speech Lang Hear Res. (2009) 52:336–58. doi: 10.1044/1092-4388(2009/07-0144)

PubMed Abstract | CrossRef Full Text | Google Scholar

250. Zablotsky B, Kalb LG, Freedman B, Vasa R, Stuart EA. Health care experiences and perceived financial impact among families of children with an autism spectrum disorder. Psychiatr Serv. (2014) 65:395–8. doi: 10.1176/appi.ps.201200552

PubMed Abstract | CrossRef Full Text | Google Scholar