Cord-blood signals may reveal prenatal cannabis exposure

Association of prenatal exposure to opioids, cannabis, and polysubstance use with cord blood DNA methylation patterns in a multiancestry cohort.

Epigenetics • • Relevant
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AI Summary

Researchers examined cord-blood DNA from 932 mother-child pairs to investigate whether prenatal exposure to opioids, cannabis, or multiple substances was linked to changes in DNA methylation—chemical tags that can influence how genes are regulated. The study identified 21 CpG sites—specific locations in DNA—suggestively associated with prenatal cannabis exposure. Because exposure was reported shortly after birth and the study was observational, these findings show an association rather than proof that cannabis caused the methylation changes.

The researchers also created polyepigenetic scores—combined methylation patterns intended to indicate prior exposure. These scores distinguished cannabis-exposed from unexposed infants with 90% accuracy, based on the reported area under the curve. The results suggest that cord-blood methylation patterns could eventually serve as biomarkers of prenatal substance exposure, although further research is needed to understand whether these patterns affect child health or have clinical value.

💡 Key Findings

1
Prenatal cannabis exposure was suggestively associated with methylation differences at 21 CpG sites in cord blood.
Good
70%
2
A combined DNA methylation score identified prenatal cannabis exposure with 90% accuracy in the study’s predictive analysis.
Good
75%
3
The findings suggest cord-blood methylation patterns could become biomarkers of prenatal substance exposure, but they do not establish that cannabis caused the observed changes or that the changes harm children.
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70%

📄 Original Abstract

Blood DNA methylation patterns are highly predictive of prenatal exposure to smoking, and differential methylation has been associated with maternal alcohol use. We extended this to determine whether DNA methylation patterns in cord blood are associated with prenatal exposure to opioids, cannabis, and polysubstance use. We also evaluated whether DNA methylation patterns have predictive utility. We examined 932 mother-child pairs in the Boston Birth Cohort between 1998 and 2020 with cord blood DNA methylation data. For each substance self-reported within 72 hr after birth, we performed an adjusted linear regression analysis at 865,859 CpG sites to identify related methylation differences. We generated polyepigenetic scores using summary statistics for each exposure and assessed predictive ability using cross-validation and receiver operating characteristic curves. Specificity of methylation associations was evaluated by assessing overlap across exposure summary statistics and using logistic regression for methylation scores, adjusted for concurrent use. We identified methylation changes at 72, 21, and 1 CpG suggestively associated with prenatal exposure to opioids, cannabis, and polysubstance use, respectively (p&#x2009;<&#x2009;1e-6), in cord blood, reported for the first time for these exposures. We identified two loci associated at epigenome-wide significance with opioids and one with polysubstance use (p&#x2009;<&#x2009;1e-8). Methylation scores were highly predictive and exposure-specific, with area under the curve accuracy of 91% for opioids, 90% for cannabis, and 93%-98% depending on polysubstance number. These CpGs provide biologic insights for reducing the impact of substance exposure, and these findings may serve as a biomarker of prenatal substance exposure for future studies and potential clinical utility.

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