Evidence for the Placenta-Brain Axis: Multi-Omic Kernel Aggregation Predicts Intellectual and Social Impairment in Children Born Extremely Preterm
| العنوان: | Evidence for the Placenta-Brain Axis: Multi-Omic Kernel Aggregation Predicts Intellectual and Social Impairment in Children Born Extremely Preterm |
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| المؤلفون: | Robert M. Joseph, Lisa Smeester, Arjun Bhattacharya, T. Michael O'Shea, Hudson P. Santos, Carmen J. Marsit, Karl C.K. Kuban, Rebecca C. Fry |
| المصدر: | Molecular Autism Molecular autism, vol 11, iss 1 Molecular Autism, Vol 11, Iss 1, Pp 1-16 (2020) |
| بيانات النشر: | Cold Spring Harbor Laboratory, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Male, Autism, Placenta, Messenger, Reproductive health and childbirth, Low Birth Weight and Health of the Newborn, Placental gene regulation, Bioinformatics, lcsh:RC346-429, Transcriptome, 0302 clinical medicine, Cognition, Pregnancy, Infant Mortality, 2.1 Biological and endogenous factors, Aetiology, Child, Epigenomics, Pediatric, Intelligence Tests, 0303 health sciences, Intelligence quotient, Neuropsychology, Brain, Gestational age, Genomics, Psychiatry and Mental health, Mental Health, medicine.anatomical_structure, Autism spectrum disorder, Infant, Extremely Premature, Cohort, DNA methylation, Multi-omic aggregation, Premature Birth, Female, Algorithms, Biotechnology, Adult, Intellectual and Developmental Disabilities (IDD), Clinical Sciences, Extremely Premature, Biology, 03 medical and health sciences, Developmental Neuroscience, Preterm, Clinical Research, Intellectual Disability, Behavioral and Social Science, Genetics, medicine, Humans, Epigenome-wide association, RNA, Messenger, Differential expression analysis, Social Behavior, Molecular Biology, lcsh:Neurology. Diseases of the nervous system, 030304 developmental biology, Social and cognitive impairment, business.industry, Prevention, Research, Human Genome, Neurosciences, Infant, Newborn, Infant, Prenatal neurodevelopmental programming, Perinatal Period - Conditions Originating in Perinatal Period, medicine.disease, Newborn, Omics, Human genetics, Brain Disorders, MicroRNAs, Sample size determination, Case-Control Studies, Multivariate Analysis, RNA, CpG Islands, business, 030217 neurology & neurosurgery, Biomarkers, Developmental Biology, Genome-Wide Association Study |
| الوصف: | Background Children born extremely preterm are at heightened risk for intellectual and social impairment, including Autism Spectrum Disorder (ASD). There is increasing evidence for a key role of the placenta in prenatal developmental programming, suggesting that the placenta may, in part, contribute to origins of neurodevelopmental outcomes. Methods We examined associations between placental transcriptomic and epigenomic profiles and assessed their ability to predict intellectual and social impairment at age 10 years in 379 children from the Extremely Low Gestational Age Newborn (ELGAN) cohort. Assessment of intellectual ability (IQ) and social function was completed with the Differential Ability Scales-II and Social Responsiveness Scale (SRS), respectively. Examining IQ and SRS allows for studying ASD risk beyond the diagnostic criteria, as IQ and SRS are continuous measures strongly correlated with ASD. Genome-wide mRNA, CpG methylation and miRNA were assayeds with the Illumina Hiseq 2500, HTG EdgeSeq miRNA Whole Transcriptome Assay, and Illumina EPIC/850 K array, respectively. We conducted genome-wide differential analyses of placental mRNA, miRNA, and CpG methylation data. These molecular features were then integrated for a predictive analysis of IQ and SRS outcomes using kernel aggregation regression. We lastly examined associations between ASD and the multi-omic-predicted component of IQ and SRS. Results Genes with important roles in neurodevelopment and placental tissue organization were associated with intellectual and social impairment. Kernel aggregations of placental multi-omics strongly predicted intellectual and social function, explaining approximately 8% and 12% of variance in SRS and IQ scores via cross-validation, respectively. Predicted in-sample SRS and IQ showed significant positive and negative associations with ASD case–control status. Limitations The ELGAN cohort comprises children born pre-term, and generalization may be affected by unmeasured confounders associated with low gestational age. We conducted external validation of predictive models, though the sample size (N = 49) and the scope of the available out-sample placental dataset are limited. Further validation of the models is merited. Conclusions Aggregating information from biomarkers within and among molecular data types improves prediction of complex traits like social and intellectual ability in children born extremely preterm, suggesting that traits within the placenta-brain axis may be omnigenic. |
| وصف الملف: | application/pdf |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d7f20c6e85eee1d2c96ae28636f2618Test https://doi.org/10.1101/2020.07.19.211029Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....6d7f20c6e85eee1d2c96ae28636f2618 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |