Research
Biomarkers can predict which children are most at risk of trauma-related health issues
Freya Lucas
Sep 15, 2022
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Epigenetic traces of childhood trauma could be used as biomarkers to predict the risk of depression, nicotine dependence, alcohol use disorder and other health issues in people nearly 17 years later, a new study from Virginia Commonwealth University has found.
“If two children are exposed to the same traumatic event, one may experience much more severe consequences than the other as an adult,” explained lead author Dr Edwin van den Oord.“Our biology can sometimes respond to trauma, and by looking at DNA responses associated with trauma, we’ve developed a novel tool for predicting long-term health risks.”
To determine whether a child’s trauma increases their health risks later in life, the research team looked at epigenetics, when adverse experiences trigger molecular modifications to one’s DNA. These changes, researchers argue, could help capture the personal impact of trauma on a child.
Epigenetic changes are molecular changes that may influence how a gene is expressed without altering the DNA sequence. One commonly studied epigenetic change is DNA methylation, where a methyl group is added to a DNA molecule.
“Changes to DNA methylation can occur at different points in our lives depending on several factors, such as our development, age, diet, health habits and other life circumstances, like trauma,” Co-Author Dr Karolina Aberg continued.
To better understand the epigenetic impact of childhood trauma, the scientists analysed blood samples, clinical data and other assessments collected as part of the Great Smoky Mountain Study, a 30-year project established by Duke University and the North Carolina Department of Health and Human Services that surveyed hundreds of children and adolescents into adulthood.
“Most participants began their involvement in this study when they were 9 to 13 years old. These individuals are now in their 30s,” Dr Aberg said. “There are few studies in the world that have collected this kind of data for so long.”
The researchers first used the participants’ blood samples to measure almost 28 million individual sites for methylation in their DNA. They then identified methylation changes correlated with reported exposure to trauma, such as serious injuries, sexual violence and actual or threatened risk of death.
Using machine learning to link trauma-related methylation changes experienced in childhood to clinical data collected in adulthood, the team generated methylation risk scores for different adverse consequences.
This included psychiatric disorders, physical health issues, substance abuse, poverty and social problems. Analyses revealed that the risk scores could predict a participant’s health issues and other adversities nearly 17 years after their exposure to trauma.
Their results also showed that the methylation risk scores were a better predictor of negative outcomes compared to reports of the occurrence of traumatic experiences. Dr Van den Oord explains that this is possibly because methylation changes capture the person-specific impact of childhood trauma.
“DNA methylation has better predictive power because it’s not just saying whether a child experienced trauma, but rather it’s showing us how that child is responding to trauma,” he said.
The predictive power of the methylation risk scores could also be helpful in situations when a child’s trauma is difficult to assess with standard tools, such as in the case of sexual abuse or neglect, or when children are not able to verbalize the impact of traumatic events.
Looking ahead, the research team aims to test the methylation risk scores on a broad spectrum of populations to further evaluate their clinical potential.
“This study has shown that methylation biomarkers could potentially help identify those most at risk of experiencing trauma-related health issues,” Dr van den Oord concluded. “If we can determine who is the most in need of preventive care, we can tailor their treatments and support networks to put them on the best path for recovery.”
Access the research in full here.
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