microRNAs and Gene-Environment Interactions in Autism: Effects of Prenatal Maternal Stress and the SERT Gene on Maternal microRNA Expression.

Background: Genetics and environment both are critical in autism spectrum disorder (ASD), but their interaction (G × E) is less understood. Numerous studies have shown higher incidence of stress exposures during pregnancies with children later diagnosed with ASD. However, many stress-exposed mothers have unaffected children. The serotonin transporter (SERT) gene affects stress reactivity. Two independent samples have shown that the association between maternal stress exposure and ASD is greatest with maternal presence of the SERT short (S)-allele (deletion in the promoter region). MicroRNAs play a regulatory role in the serotonergic pathway and in prenatal stress and are therefore potential mechanistic targets in this setting. Design/methods: We profiled microRNA expression in blood from mothers of children with ASD, with known stress exposure during pregnancy. Samples were divided into groups based on SERT genotypes (LL/LS/SS) and prenatal stress level (high/low). Results: Two thousand five hundred mature microRNAs were examined. The ANOVA analysis showed differential expression (DE) of 119 microRNAs; 90 were DE in high- vs. low-stress groups (stress-dependent). Two (miR-1224-5p, miR-331-3p) were recently reported by our group to exhibit stress-dependent expression in rodent brain samples from embryos exposed to prenatal stress. Another, miR-145-5p, is associated with maternal stress. Across SERT genotypes, with high stress exposure, 20 significantly DE microRNAs were detected, five were stress-dependent. These microRNAs may be candidates for stress × SERT genotype interactions. This is remarkable as these changes were from mothers several years after stress-exposed pregnancies. Conclusions: Our study provides evidence for epigenetic alterations in relation to a G × E model (prenatal maternal stress × SERT gene) in ASD.

The AutGO Initiative: A Conceptual Framework for Developing Genetics-Outcomes Research Hypotheses.

The increasing emphasis on translational approaches to complex neuropsychiatric and neurodevelopmental conditions research requires scientists from a broad range of disciplines to build dynamic collaborations when formulating hypotheses and framing study designs. The need to integrate the knowledge and perspectives not only from multiple scientific silos but also from the populations impacted by these conditions presents a significant challenge to researchers, particularly for a heterogeneous condition like autism. As one path toward addressing these challenges, we have previously introduced Autism Genetics Outcomes (AutGO), an initiative to support broad stakeholder partnerships and promote a new integrated concept called GO (i.e., research approaches that draw on both genetics and clinical outcomes perspectives). Herein, we developed a workflow for collecting stakeholders' feedback toward the development of a GO hypothesis. AutGO is an evolving initiative, and here we describe how its three essential components (conceptual framework, applicability, and implementation) have been developed. As a proof-of-concept, the AutGO team sought to demonstrate how a GO hypothesis could be developed using a semi-structured literature review workflow. We also developed a prototype from published reports and formulated a GO hypothesis for autism. Rather than seeking community stakeholder input after a research project is conceptualized and designed, the developed conceptual framework demonstrates the feasibility of formulating scientific hypotheses by engaging stakeholders in retrospective semi-structured literature reviews. The presented workflow, prototype, and discussed recommendations will bring awareness in the autism research community about the benefits of applying the GO approach in order to promote translational aspects in genetics research. LAY SUMMARY: We used a community-based engagement approach to develop AutGO (Autism Genetics Outcomes), an initiative to establish stakeholder partnerships and to promote research approaches (we refer to as GO) that draw on both genetics and clinical outcomes perspectives. Specifically, we developed a conceptual framework that includes a literature review process for developing GO hypotheses and stakeholder feedback collection protocol. Our work will bring awareness in the autism research community about the benefits of integrating patient perspectives in genetics research. Autism Res 2020, 13: 1286-1299. © 2020 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC.

The potential role of a retrotransposed gene and a long noncoding RNA in regulating an X-linked chromatin gene (KDM5C): Novel epigenetic mechanism in autism.

A growing body of evidence supports the potential role of the circadian system and chromatin remodeling genes in autism. Considering the heterogeneity and gender discrepancy in autism, and the complex nature of the epigenetic landscape, identification of biologically relevant epigenetic factors requires reducing heterogeneity using proper subtyping. For this study, we used X chromosome inactivation (XCI) status in females with autism as an epigenetic marker for subtyping and examined the expression level of members of KDM5, a chromatin remodeling gene family. KDM5 are histone demethylases involved in the circadian molecular machinery. We used human blood samples to characterize alternatively spliced KDM5 isoforms and noticed that KDM5C undergoes a complex splicing process. We also identified a KDM5C isoform (KDM5C-3'UTR-lncRNA) containing a novel 3'UTR originated from a retrotransposed gene (retro-SUV39H2) of an autosomal methyltransferase (SUV39H2). This 3'UTR shows 84% sequence homology with long ncRNAs (lncRNAs) and is located 32 kb downstream of KDM5C. The KDM5C-3'UTR-lncRNA isoform was differentially expressed in autistic females with XCI skewness compared with controls. KDM5C plays a crucial role in balancing histone H3K4 methylation states. The identified retro-SUV39H2 originated lncRNA also shows H3K4 marks. By assessing the expression level of alternatively spliced Kdm5 isoforms at different circadian time-points, we showed that some isoforms follow a circadian oscillation pattern in wild type mouse brain.This study provides the first evidence and a suggestive model for the potential role of retrotransposed elements in autism through linking methylases and demethylases, two functionally complementary components of chromatin remodeling, which may collectively contribute to disease etiology through lncRNAs. Autism Res 2019, 12: 1007-1021. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Genes do not function in isolated conditions and their proper expression level also depends on a mechanism called gene regulation. An example of gene regulation is when changes outside DNA sequences influence the function of autism susceptibility genes. Alternative splicing is one type of gene regulation, which produces several versions of a gene (called variants) that may slightly differ from each other and be expressed at different levels in response to environmental changes. The circadian clock is an essential timing mechanism that enables organisms to maintain internal processes in sync with the dynamic environment brought about by the day-night cycle. The goal of this study was to assess if a subset of females with autism with certain genetic marker had a unique pattern of alternative splicing of three circadian genes. We identified a novel variant that is differentially expressed in this subset. Our study provides a novel subject stratification strategy, and a suggestive model of how biologically relevant components of a gene regulatory process may be linked and, possibly, collectively contribute to the etiology of autism.

Building a Bridge Between Genetics and Outcomes Research: Application in Autism (The AutGO Study).

BACKGROUND: Concerns over the need to improve translational aspects of genetics research studies and engaging community members in the research process have been noted in the literature and raised by patient advocates. In addition to the work done by patient advocacy groups, organizations such as the Patient-Centered Outcomes Research Institute advocate for a change in the culture of research from being researcher-driven to becoming more patient-driven. OBJECTIVE: Our project, Autism Genetics and Outcomes (AutGO), consists of two phases. The goal for phase I was to initiate a general discussion around the main topic (i.e., linking genetics and outcomes research). We used the Patient-Centered Outcomes Research Institute engagement approach to: (aim 1) develop a partnership with a wide range of stakeholders to assess their perspective on developing projects that use both genetics and outcomes research data/principles; (aim 2) identify barriers, facilitators, and needs to promote engagement in patient-centered genetics research; and (aim 3) distill and describe actions that may facilitate utilization of patient/parent perspectives in designing genetics research studies. METHODS: In phase I, we formed a community advisory board composed of 33 participants, including outcomes and genetics researchers, clinicians, healthcare providers, patients/family members, and community/industry representatives, and convened six sessions over the 12-month period. We structured the sessions as a combination of online PowerPoint presentations, surveys, and in-person group discussions. During the sessions, we discussed topics pertaining to linking genetics and outcomes research and reviewed relevant materials, including patient stories, research projects, and existing resources. RESULTS: Two sets of surveys, project evaluations (k = 2) and session evaluations (k = 6), were distributed among participants. Feedback was analyzed using content analysis strategies to identify the themes and subthemes. Herein, we describe: the established partnership (aim 1), the identified barriers, facilitators, and needs (aim 2), as well as the lessons learned and suggested recommendations for the research community (aim 3). Following phase I participants' recommendation, in phase II, we will focus on a specific disease (i.e., autism); this projected plan is briefly outlined to highlight the overarching goal of the project and its potential significance. We also discuss the study limitations, challenges for conducting this type of multidisciplinary work, as well as potential ways to address them. CONCLUSIONS: The AutGO project has created a unique collaborative forum to facilitate the much needed dialogue between genetics and outcomes researchers, which may contribute to finding ways to improve the translational aspects of genetics research studies.