Prenatal maternal infection and risk for autism in offspring: A meta-analysis.

While prenatal maternal infection has received attention as a preventable and treatable risk factor for autism, findings have been inconsistent. This paper presents the results of a meta-analysis to determine whether the weight of the evidence supports such an association. Studies with a categorical diagnosis of autism as the outcome and an assessment of its association with prenatal maternal infection or fever (or the data necessary to compute this association) were included. A total of 36 studies met these criteria. Two independent reviewers extracted data on study design, methods of assessment, type of infectious agent, site of infection, trimester of exposure, definition of autism, and effect size. Analyses demonstrated a statistically significant association of maternal infection/fever with autism in offspring (OR = 1.32; 95% CI = 1.20-1.46). Adjustment for evident publication bias slightly weakened this association. There was little variation in effect sizes across agent or site of infection. Small differences across trimester of exposure were not statistically significant. There was some evidence that recall bias associated with status on the outcome variable leads to differential misclassification of exposure status. Nonetheless, the overall association is only modestly reduced when studies potentially contaminated by such bias are removed. Although causality has not been firmly established, these findings suggest maternal infection during pregnancy confers an increase in risk for autism in offspring. Given the prevalence of this risk factor, it is possible that the incidence of autism would be reduced by 12%-17% if maternal infections could be prevented or safely treated in a timely manner. LAY SUMMARY: This study is a meta-analysis of the association of maternal infection during pregnancy and subsequent autism in offspring. In combining the results from 36 studies of this association we find that a significant relationship is present. The association does not vary much across the types of infections or when they occur during pregnancy. We conclude that the incidence of autism could be substantially reduced if maternal infections could be prevented or safely treated in a timely manner.

Practice Parameter for the Assessment and Treatment of Psychiatric Disorders in Children and Adolescents With Intellectual Disability (Intellectual Developmental Disorder).

Intellectual disability (intellectual developmental disorder) (ID/IDD) is both a psychiatric disorder and a risk factor for co-occurring psychiatric disorders in children and adolescents. DSM-5 introduced important changes in the conceptualization and diagnosis of ID/IDD, and current research studies clarify assessment and treatment of co-occurring psychiatric disorders in this population. Optimal assessment and treatment of psychiatric illness in children and adolescents with ID/IDD includes modifications in diagnostic and treatment techniques, appreciation of variations in the clinical presentation of psychiatric disorders, an understanding of the spectrum of etiologies of behavioral disturbance, and knowledge of psychosocial and medical interventions.

The Emerging Clinical Neuroscience of Autism Spectrum Disorder: A Review.

Importance: Autism spectrum disorder (ASD) is a highly prevalent disorder, and community psychiatrists are likely to treat many individuals with ASD during their clinical practice. This clinical case challenge describes a routine evaluation of irritability and self-injury in a preschool-aged child who meets the criteria for ASD. The case also illustrates the importance of known risk factors for ASD, such as chromosomal deletion and prematurity. This clinical neuroscience article seeks to educate the clinician of current avenues of research that can inform and may already affect clinical practice for this patient, while providing a preview of research that may yield biological treatments for ASD within the next decade. Observations: A diagnosis of ASD is defined behaviorally; therefore, many genetic and environmental risk factors, working singly or in concert, are linked to ASD. The prenatal period of brain development is particularly sensitive to risk factors such as gene mutation or drug exposure that affect brain development and circuitry formation. Currently, neuroimaging researchers can detect changes in brain connectivity of children with ASD as young as 6 months, followed by an atypical trajectory of brain development through preschool age and ongoing connectivity inefficiencies across the lifespan. Animal and cellular model systems have provided a means for defining the molecular and cellular changes associated with risk factors for ASD. The ability to connect specific treatments to particular subgroups of people with ASD is the defining hope of precision medicine initiatives. Conclusions and Relevance: The advent of next-generation sequencing technology, advanced imaging techniques, and cutting-edge molecular techniques for modeling ASD has allowed researchers to define ASD risk-related biological pathways and circuits that may, for the first time, unify the effects of disparate risk factors into common neurobiological mechanisms. The path from these mechanisms to biological treatments that improve the lives of individuals with autism remains unclear, but the cumulative output of multiple lines of research suggests that subtyping by genetic risk factors may be a particularly tractable way to capitalize on individual differences amenable to specific treatments.