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

Author:

Garrison-Desany Henri1,Howerton Ellen2ORCID,Hong Xiumei2,Maher Brion2,Pearson Colleen3,Zuckerman Barry4,Wang Guoying,Fallin M. Daniele5,Beaty Terri2ORCID,Liang Liming6ORCID,Wang Xiaobin7ORCID,Ladd-Acosta Christine2ORCID

Affiliation:

1. Johns Hopkins Bloomberg School of Public Health

2. Johns Hopkins University

3. Boston University School of Medicine and Boston Medical Center

4. Boston Medical Center

5. Emory University

6. Harvard University

7. Johns Hopkins University Bloomberg School of Public Health

Abstract

Abstract Background: 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 opioid, cannabis, and polysubstance use. We also evaluated whether DNA methylation patterns have predictive utility. Methods: We examined 932 mother-child pairs in the Boston Birth Cohort between 1998-2020 with cord blood DNA methylation and maternal substance use data. For each substance, we performed adjusted linear regression analysis at 865,859 CpG sites to identify related methylation changes. We generated 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. Results: We identified methylation changes at 72, 21, and 1 novel CpG associated with prenatal exposure to opioids, cannabis, and polysubstance use respectively, at epigenome-wide significance (P<1e-6). Comparing CpGs across exposure groups and with previous consortia-generated summary statistics for smoking and alcohol revealed few overlapping CpGs across exposures. 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. Conclusion: We identified novel DNA methylation differences in cord blood associated with prenatal exposure and showed that methylation scores are highly predictive of substance exposures. These CpGs provide biologic insights for reducing the impact of substance exposure. These findings may serve as a biomarker of prenatal substance exposure for future studies and potential clinical utility.

Publisher

Research Square Platform LLC

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