Summary: Researchers identified DNA methylation markers that may indicate the risk of developing schizophrenia later in life in newborns.
This breakthrough discovery could allow for early detection and intervention to reduce the impact of the disease.
By studying blood samples collected at birth, the team was able to identify unique methylation differences in cell types that could become potential clinical biomarkers for future early detection of schizophrenia.
- Researchers at Virginia Commonwealth University have identified DNA methylation markers in infants that could indicate if a person has a susceptibility to schizophrenia later in life.
- The study involved tracking 24 million methylation marks in blood samples collected shortly after birth from 333 infants in Sweden.
- The findings suggest that identifying methylation differences between individuals that later develop schizophrenia and controls could become potential clinical biomarkers for early detection and intervention.
Source: Virginia Commonwealth University
An international research team led by investigators at Virginia Commonwealth University has identified for the first time markers that may indicate early in life if a person has susceptibility to schizophrenia.
The ability to predict the risk of developing schizophrenia later in life may allow early detection and intervention, which the researchers hope can reduce the impact of the disease on individuals, families and communities.
Their results have been published in Molecular Psychiatry.
Schizophrenia is a serious psychiatric disorder that is most often detected in young adulthood. It affects as much as 1% of the world population and can cause debilitating effects such as a sense of losing touch with reality.
People with the disorder are up to three times more likely to die early and often face discrimination, social isolation and debilitating physical illness, according to the World Health Organization.
Although schizophrenia involves an inherited genetic component there is strong evidence that environmental factors play a role in whether a person develops the disease. These environmental factors can trigger chemical changes to DNA that regulate what genes are turned on or off through a process called methylation.
Studying possible genetic triggers for a disease like schizophrenia is complicated because methylation changes can be caused by the disease itself and related factors such as the stress and medications that usually accompany it.
Because of the effects of the disease on the methylome—the term for the set of nucleic acid methylation modifications in an organism’s genome or in a particular cell—ideally samples would be obtained before the disease occurs. But since schizophrenia is a disorder of the brain, this would be impossible.
To resolve this problem the research team—led by VCU School of Pharmacy professors Edwin van den Oord, Ph.D, and Karolina Aberg, Ph.D.—devised a unique approach.
First, they examined blood samples that had been drawn shortly after birth from 333 infants in Sweden, tracking 24 million methylation marks. The team used statistical analysis that allowed them to study methylation marks on a cell-type-specific level.
“Since the sampled blood was collected within hours of birth, years before any schizophrenia symptoms occurred, these findings cannot be influenced by the disease itself or other postnatal factors,” noted Aberg, principal investigator for the study and associate director of the Center for Biomarker Research and Precision Medicine at VCU.
Next, the team validated any significant findings from the blood samples by comparing them to transcriptional data from 595 postmortem brain samples from different people—some with schizophrenia and others in a control group who did not have the disease.
The brain samples were provided by investigators from around the world including Europe, North America and Australia.
The team also compared their findings against methylation data from adult blood drawn from schizophrenia cases and controls—a total of 2,970 people.
The researchers concluded that certain differences in methylation already present in newborns indicate an increased risk of developing schizophrenia.
“In other words, we could identify methylation differences between individuals that later on in life would develop schizophrenia and controls that are unique to specific cell-types in the neonatal blood,” said van den Oord, the first listed author of the paper in Molecular Psychiatry and director of the Center of Biomarker Research and Precision Medicine.
“Research will continue around these methylation differences to develop potential future clinical biomarkers that will allow early detection and intervention.”
About this genetics and schizophrenia research news
Author: Press Office
Source: Virginia Commonwealth University
Contact: Press Office – Virginia Commonwealth University
Image: The image is credited to Neuroscience News
Original Research: Closed access.
“Genes implicated by a methylome-wide schizophrenia study in neonatal blood show differential expression in adult brain samples” by Edwin J. C. G. van den Oord et al. Molecular Psychiatry
Genes implicated by a methylome-wide schizophrenia study in neonatal blood show differential expression in adult brain samples
Schizophrenia is a disabling disorder involving genetic predisposition in combination with environmental influences that likely act via dynamic alterations of the epigenome and the transcriptome but its detailed pathophysiology is largely unknown.
We performed cell-type specific methylome-wide association study of neonatal blood (N = 333) from individuals who later in life developed schizophrenia and controls. Suggestively significant associations (P < 1.0 × 10−6) were detected in all cell-types and in whole blood with methylome-wide significant associations in monocytes (P = 2.85 × 10−9–4.87 × 10−9), natural killer cells (P = 1.72 × 10−9–7.82 × 10−9) and B cells (P = 3.8 × 10−9).
Validation of methylation findings in post-mortem brains (N = 596) from independent schizophrenia cases and controls showed significant enrichment of transcriptional differences (enrichment ratio = 1.98–3.23, P = 2.3 × 10−3–1.0 × 10−5), with specific highly significant differential expression for, for example, BDNF (t = −6.11, P = 1.90 × 10−9). In addition, expression difference in brain significantly predicted schizophrenia (multiple correlation = 0.15–0.22, P = 3.6 × 10−4–4.5 × 10−8).
In summary, using a unique design combining pre-disease onset (neonatal) blood methylomic data and post-disease onset (post-mortem) brain transcriptional data, we have identified genes of likely functional relevance that are associated with schizophrenia susceptibility, rather than confounding disease associated artifacts.
The identified loci may be of clinical value as a methylation-based biomarker for early detection of increased schizophrenia susceptibility.