Perturbed genes regulating white blood cells linked to autism genetics and severity

Summary: Blood gene expression analysis uncovered a critical gene network that is disrupted in Autism. The disrupted gene network is related to fetal brain development and is also dysregulated in ASD cellular models. The findings provide further evidence that genetic factors influencing brain development during pregnancy are a primary cause of autism spectrum disorder.

Source: UCSD

Researchers at University of California San Diego School of Medicine say they are getting closer to identifying the mechanisms of autism spectrum disorder (ASD) and biomarkers that can aid in early diagnosis and predictions of symptom severity.

A team of scientists analyzed blood gene expression data from 302 one- to four-year-old boys with and without the diagnosis of ASD. They uncovered a critical gene network that is disrupted in ASD, noting that the perturbed gene network is related to fetal brain development and also dysregulated in ASD cellular models.

The findings, published online September 23, 2019 in Nature Neuroscience, suggest genetic factors influencing brain development during pregnancy are a primary cause of ASD.

“The genetics of ASD are extremely heterogeneous,” said co-senior author Nathan E. Lewis, PhD, associate professor of pediatrics and bioengineering. “Hundreds of genes have been implicated, but the underlying mechanisms remain murky. These findings identify how ASD genetics dysregulate a core network that influences brain development at fetal and in the very early years of life and, consequently, the severity of later ASD symptoms.”

The findings could form the basis for early diagnosis and prediction of symptom severity of ASD, wrote the authors. Early intervention is known to enhance the quality of life of individuals with ASD by improving symptoms, such as cognitive and learning impairments.

However, current diagnosis methodologies rely heavily upon clinical identification of tell-tale behavioral symptoms, such as abnormal facial expressions, limited communications skills and inappropriate social interactions — all of which can be unstable at early ages, making diagnosis and predicted outcomes very difficult. No reliable, practical and objective markers of prognosis currently exist.

“There is an urgent need for robust tests that can identify the disorder and its expected severity at very early ages so that treatment can start early, enabling a better outcome for each child,” said co-senior author Eric Courchesne, PhD, professor of neuroscience and co-director of the UC San Diego Autism Center of Excellence.

First author Vahid H. Gazestani, PhD, said data from the boys’ blood gene expression, combined with neuron models, revealed dysregulation of a common gene network containing key signaling pathways with roles in fetal brain development. “We found that many of the known ASD risk genes regulate this core network and hence their mutations can disrupt this developmentally critical network.”

The worse the network dysregulation, the scientists found, the more severe the symptoms experienced later on by affected boys. Although the authors cautioned that the findings need to be replicated in larger studies, they said the data are consistent with previous studies by the Courchesne and Lewis labs and other groups, which have shown the diagnostic and prognostic power of blood gene expression for ASD.

“Increasingly, evidence indicates that ASD is a progressive disorder that, at prenatal and early postnatal stages, involves a cascade of molecular and cellular changes, such as those resulting from dysregulation of signaling pathways and networks,” said Courchesne.

“Our evidence suggests that abnormal signals from known ASD risk genes may be channeled through this important gene network,” added Gazestani, “and that, in turn, sends signals that alter fetal and postnatal brain formation and wiring patterns.”

Image shows a child standing under a street lamp alone

The findings could form the basis for early diagnosis and prediction of symptom severity of ASD The image is in the public domain.

The researchers hope to create a framework in which physicians and others can systematically diagnose, classify and prognostically stratify patients with ASD at much earlier ages, based upon genetic or molecular markers, expediting treatment.

“The study shows that through analyses of gene expression from ordinary blood samples, it is possible to study aspects of ASD’s fetal molecular origins, uncover the functional impact of hundreds of ASD risk genes that have been discovered over the years, and develop clinical tests of ASD diagnosis and severity prognosis,” said Lewis.

Additional co-authors include: Tiziano Pramparo, Srinivasa Nalabolu, Benjamin P. Kellman, Sarah Murray, Linda Lopez and Karen Pierce, all at UC San Diego.

About this neuroscience research article

Source:
UCSD
Media Contacts:
Scott LaFee – UCSD
Image Source:
The image is in the public domain.

Original Research: Closed access
“A perturbed gene network containing PI3K–AKT, RAS–ERK and WNT–β-catenin pathways in leukocytes is linked to ASD genetics and symptom severity”. Vahid H. Gazestani, Tiziano Pramparo, Srinivasa Nalabolu, Benjamin P. Kellman, Sarah Murray, Linda Lopez, Karen Pierce, Eric Courchesne & Nathan E. Lewis.
Nature Neuroscience doi:10.1038/s41593-019-0489-x.

Abstract

A perturbed gene network containing PI3K–AKT, RAS–ERK and WNT–β-catenin pathways in leukocytes is linked to ASD genetics and symptom severity

Hundreds of genes are implicated in autism spectrum disorder (ASD), but the mechanisms through which they contribute to ASD pathophysiology remain elusive. Here we analyzed leukocyte transcriptomics from 1- to 4-year-old male toddlers with ASD or typical development from the general population. We discovered a perturbed gene network that includes highly expressed genes during fetal brain development. This network is dysregulated in human induced pluripotent stem cell-derived neuron models of ASD. High-confidence ASD risk genes emerge as upstream regulators of the network, and many risk genes may impact the network by modulating RAS–ERK, PI3K–AKT and WNT–β-catenin signaling pathways. We found that the degree of dysregulation in this network correlated with the severity of ASD symptoms in the toddlers. These results demonstrate how the heterogeneous genetics of ASD may dysregulate a core network to influence brain development at prenatal and very early postnatal ages and, thereby, the severity of later ASD symptoms.

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