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      Commentary: Structural and functional features of central nervous system lymphatic vessels

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          Abstract

          Autism spectrum disorders (ASD) represent an apparent pandemic threat to child development with the current CDC data documenting ASD affecting over 2% of U.S. males of school age ([CDC] Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal, 2014). ASD are likely a heterogeneous group of disorders with genetic and environmental causes resulting in similar phenotypes. Genetic contributions to autism are extremely heterogeneous and may involve synaptic formation and maturation. Thus, multiple genes involved in the formation, specification, and maintenance of synapses have been identified as risk factors for ASD development (Hahn et al., 2013). Also the rate of brain growth in the first 2 years of life may contribute to ASD. Although abnormally enlarged brain volumes and increased rates of brain growth during early childhood are observed only in a minority of ASD children, nevertheless there is evidence of abnormalities in posterior lobes and posterior brain networks during the first 2 years of life in ASD (Lainhart, 2015). If the etiology of ASD is still mysterious, there is a growing consensus for the role of neuroinflammation in ASD pathogenesis (Fatemi et al., 2012), and the recent publication in Nature of the existence of the previously unknown meningeal lymphatic system, invites a closer evaluation of its potential significance to brain development (Louveau et al., 2015). In 1983, Aarli speculated the fluid of the brain traveled along mysterious perivascular channels, and noted that immunological challenges could affect the integrity of the blood brain barrier (Aarli, 1983). It was then accepted that the exit pathway for immune cells trafficking through the CNS was via the arachnoid granulations. The new study in Nature provides us with a secondary pathway leading to deep cervical lymph nodes. We concur with the comment (Louveau et al., 2015) that; “the presence of a functional and classical lymphatic system in the central nervous system suggests that current dogmas regarding brain tolerance and the immune privilege of the brain should be revisited.” This feature is critically important with regard to the observations of immunological dysregulation in autism, which intersect with observations of increased extra-axial CSF (EAF) in the autism population. MRI scans were used (Shen et al., 2013) to evaluate the EAF of infants born into families with an existing autistic child. They were able to predict the future onset and severity of autism based on the findings of early and persistent increases in EAF. In a similar way, we were able to demonstrate increased EAF using transcranial ultrasonography and we too observed a correlation between increased severity of autistic symptoms and increased EAF scores (Bradstreet et al., 2014). The mechanisms responsible for such an increased EAF, however, remained unknown. The newly discovered meningeal lymphatic system might help explaining how immunological dysfunctions and peripheral chronic infection/inflammation may affect the meninges and, consequently, brain development. Several evidences point to a connection between meninges and abnormal CNS development. Meningeal cells are involved in cortical development (Dragunow, 2013), and meningeal alterations in mice modeling ASD-like behaviors contribute to incorrect neurogenesis during development (Mercier et al., 2011). In 2012, Zarbalis et al. demonstrated that meningeal defects alter migration of cortical interneurons in a mouse model, thus further stressing the role of the meninges in the establishment of proper neuronal interconnections (Zarbalis et al., 2012). The observations of increased EAF in the autism population with these new observations of a central lymphatic system connected to cervical lymph nodes, should direct more attention to the role of meningeal lymphatics in the pathogenesis of ASD. It further begs the question: “could inflammation-associated deficits in meningeal lymph drainage be the culprit for the observed increased EAF?” Intersecting the increased EAF volume observations in ASD with the EAF drainage to deep cervical lymph nodes draws our attention to the pathogenetic potential of chronic infections leading to inflammation and subsequent deficit in lymphatic drainage. Supporting the role of chronic infection/inflammation in ASD pathogenesis, multiple polyomaviral infections were observed to be significantly more common in the post-mortem brains of ASD individuals (Lintas et al., 2010) and ASD individuals show immune transcriptome alterations in the temporal cortex that seem to indicate immune dysregulation with consequent inflammation (Garbett et al., 2008). Piras et al. (2014) correlated anti-brain antibodies with specific deficits in ASD, thus reinforcing the notion that chronic inflammation is a common denominator that may lead to EAF increase because of impaired meningeal lymphatic drainage. The existence of a classical lymphatic system in the CNS might also explain the nature of the lesions in the brains of autistic subjects, which we observed with ultrasonography and designated “cortical dysplasia” (Bradstreet et al., 2014). Inefficient drainage with focal accumulation of CSF in certain areas of the cortex might explain the hypoechogenic appearance of focal “patches,” which we consistently observed in autistic subjects. Accumulation of fluid that typically appears hypoechogenic in ultrasonography, might thus disrupt neuronal/glial networking by increasing the distance between cells and by increasing extracellular pressure on cells with consequent alteration of gene expression trough modification of the cytoskeleton (Knöll, 2010). Since Stoner et al. (2014) also observed “patches” of decreased transcription in autism related brain bank specimens, it is tempting to speculate that such alterations of gene expression may be associated with the accumulation of EAF and its effects on neuronal and glial function. Finally, transcranial ultrasonography deserves more attention as a harmless and low-cost means of evaluating CSF fluid volumes and stratifying ASD children potentially at-risk for chronic CNS inflammatory disorders. Transcranial ultrasonography enables reproducible evaluation of EAF by measuring the distances between the arachnoid membrane and the cortical pia layer (subarachnoid space), and may thus help establishing the degree of meningeal lymphatic drainage deficit. Since the measures can be easily repeated, the technique could be used for monitoring the progression of the disease or for objectively assessing the efficacy of treatments. In conclusion, the observation by Louveau et al. (2015) leads us to hypothesize that meningeal lymphatic drainage deficit due to peripheral chronic infection/inflammation may be responsible for increased EAF and cortical dysplasia in ASD individuals and, possibly, for some of the symptoms typical of the disorder. 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.

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          Most cited references14

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          Consensus paper: pathological role of the cerebellum in autism.

          There has been significant advancement in various aspects of scientific knowledge concerning the role of cerebellum in the etiopathogenesis of autism. In the current consensus paper, we will observe the diversity of opinions regarding the involvement of this important site in the pathology of autism. Recent emergent findings in literature related to cerebellar involvement in autism are discussed, including: cerebellar pathology, cerebellar imaging and symptom expression in autism, cerebellar genetics, cerebellar immune function, oxidative stress and mitochondrial dysfunction, GABAergic and glutamatergic systems, cholinergic, dopaminergic, serotonergic, and oxytocin-related changes in autism, motor control and cognitive deficits, cerebellar coordination of movements and cognition, gene-environment interactions, therapeutics in autism, and relevant animal models of autism. Points of consensus include presence of abnormal cerebellar anatomy, abnormal neurotransmitter systems, oxidative stress, cerebellar motor and cognitive deficits, and neuroinflammation in subjects with autism. Undefined areas or areas requiring further investigation include lack of treatment options for core symptoms of autism, vermal hypoplasia, and other vermal abnormalities as a consistent feature of autism, mechanisms underlying cerebellar contributions to cognition, and unknown mechanisms underlying neuroinflammation.
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            Prevalence of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2010.

            (2014)
            Autism spectrum disorder (ASD). 2010. The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system in the United States that provides estimates of the prevalence of ASD and other characteristics among children aged 8 years whose parents or guardians live in 11 ADDM sites in the United States. ADDM surveillance is conducted in two phases. The first phase consists of screening and abstracting comprehensive evaluations performed by professional providers in the community. Multiple data sources for these evaluations include general pediatric health clinics and specialized programs for children with developmental disabilities. In addition, most ADDM Network sites also review and abstract records of children receiving special education services in public schools. The second phase involves review of all abstracted evaluations by trained clinicians to determine ASD surveillance case status. A child meets the surveillance case definition for ASD if a comprehensive evaluation of that child completed by a qualified professional describes behaviors consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (including atypical autism), or Asperger disorder. This report provides updated prevalence estimates for ASD from the 2010 surveillance year. In addition to prevalence estimates, characteristics of the population of children with ASD are described. For 2010, the overall prevalence of ASD among the ADDM sites was 14.7 per 1,000 (one in 68) children aged 8 years. Overall ASD prevalence estimates varied among sites from 5.7 to 21.9 per 1,000 children aged 8 years. ASD prevalence estimates also varied by sex and racial/ethnic group. Approximately one in 42 boys and one in 189 girls living in the ADDM Network communities were identified as having ASD. Non-Hispanic white children were approximately 30% more likely to be identified with ASD than non-Hispanic black children and were almost 50% more likely to be identified with ASD than Hispanic children. Among the seven sites with sufficient data on intellectual ability, 31% of children with ASD were classified as having IQ scores in the range of intellectual disability (IQ ≤70), 23% in the borderline range (IQ = 71-85), and 46% in the average or above average range of intellectual ability (IQ >85). The proportion of children classified in the range of intellectual disability differed by race/ethnicity. Approximately 48% of non-Hispanic black children with ASD were classified in the range of intellectual disability compared with 38% of Hispanic children and 25% of non-Hispanic white children. The median age of earliest known ASD diagnosis was 53 months and did not differ significantly by sex or race/ethnicity. These findings from CDC's ADDM Network, which are based on 2010 data reported from 11 sites, provide updated population-based estimates of the prevalence of ASD in multiple communities in the United States. Because the ADDM Network sites do not provide a representative sample of the entire United States, the combined prevalence estimates presented in this report cannot be generalized to all children aged 8 years in the United States population. Consistent with previous reports from the ADDM Network, findings from the 2010 surveillance year were marked by significant variations in ASD prevalence by geographic area, sex, race/ethnicity, and level of intellectual ability. The extent to which this variation might be attributable to diagnostic practices, underrecognition of ASD symptoms in some racial/ethnic groups, socioeconomic disparities in access to services, and regional differences in clinical or school-based practices that might influence the findings in this report is unclear. ADDM Network investigators will continue to monitor the prevalence of ASD in select communities, with a focus on exploring changes within these communities that might affect both the observed prevalence of ASD and population-based characteristics of children identified with ASD. Although ASD is sometimes diagnosed by 2 years of age, the median age of the first ASD diagnosis remains older than age 4 years in the ADDM Network communities. Recommendations from the ADDM Network include enhancing strategies to address the need for 1) standardized, widely adopted measures to document ASD severity and functional limitations associated with ASD diagnosis; 2) improved recognition and documentation of symptoms of ASD, particularly among both boys and girls, children without intellectual disability, and children in all racial/ethnic groups; and 3) decreasing the age when children receive their first evaluation for and a diagnosis of ASD and are enrolled in community-based support systems.
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              Immune transcriptome alterations in the temporal cortex of subjects with autism.

              Autism is a severe disorder that involves both genetic and environmental factors. Expression profiling of the superior temporal gyrus of six autistic subjects and matched controls revealed increased transcript levels of many immune system-related genes. We also noticed changes in transcripts related to cell communication, differentiation, cell cycle regulation and chaperone systems. Critical expression changes were confirmed by qPCR (BCL6, CHI3L1, CYR61, IFI16, IFITM3, MAP2K3, PTDSR, RFX4, SPP1, RELN, NOTCH2, RIT1, SFN, GADD45B, HSPA6, HSPB8 and SERPINH1). Overall, these expression patterns appear to be more associated with the late recovery phase of autoimmune brain disorders, than with the innate immune response characteristic of neurodegenerative diseases. Moreover, a variance-based analysis revealed much greater transcript variability in brains from autistic subjects compared to the control group, suggesting that these genes may represent autism susceptibility genes and should be assessed in follow-up genetic studies.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                22 December 2015
                2015
                : 9
                : 485
                Affiliations
                [1] 1The Brain Treatment Center Buford, GA, USA
                [2] 2Faculty for Autism Collaboration & Education, Western University of Health Sciences Pomona, CA, USA
                [3] 3Dream Master Laboratory Gilbert, AZ, USA
                [4] 4Department of Experimental and Clinical Medicine, University of Florence Firenze, Italy
                Author notes

                Edited by: Ahmet O. Caglayan, Yale University, USA

                Reviewed by: Karen M. Smith, University of Louisiana at Lafayette, USA; Anthony J. Filiano, University of Virginia, USA

                *Correspondence: Marco Ruggiero biolmol@ 123456yahoo.com

                This article was submitted to Child and Neurodevelopmental Psychiatry, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2015.00485
                4686591
                26733797
                914a791c-fef0-4310-98cd-482373ebc50f
                Copyright © 2015 Bradstreet, Ruggiero and Pacini.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 August 2015
                : 07 December 2015
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 16, Pages: 3, Words: 1774
                Categories
                Psychiatry
                General Commentary

                Neurosciences
                autism,meninges,lymphatics,ultrasonography,neurodevelopment
                Neurosciences
                autism, meninges, lymphatics, ultrasonography, neurodevelopment

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