Epigenetic associations with neonatal age in infants born very preterm, particularly among genes involved in neurodevelopment.

The time from conception through the first year of life is the most dynamic period in human development. This time period is particularly important for infants born very preterm (< 30 weeks gestation; VPT), as they experience a significant disruption in the normal developmental trajectories and are at heightened risk of experiencing developmental impairments and delays. Variations in the epigenetic landscape during this period may reflect this disruption and shed light on the interrelationships between aging, maturation, and the epigenome. We evaluated how gestational age (GA) and age since conception in neonates [post-menstrual age (PMA)], were related to DNA methylation in buccal cells collected at NICU discharge from VPT infants (n = 538). After adjusting for confounders and applying Bonferroni correction, we identified 2,366 individual CpGs associated with GA and 14,979 individual CpGs associated with PMA, as well as multiple differentially methylated regions. Pathway enrichment analysis identified pathways involved in axonogenesis and regulation of neuron projection development, among many other growth and developmental pathways (FDR q < 0.001). Our findings align with prior work, and also identify numerous novel associations, suggesting that genes important in growth and development, particularly neurodevelopment, are subject to substantial epigenetic changes during early development among children born VPT.

Preeclampsia, Fetal Growth Restriction, and 24-Month Neurodevelopment in Very Preterm Infants.

Importance: Preeclampsia has direct influences on a developing fetus and may impact postnatal health, and fetal growth restriction (FGR) is often seen co-occurring with preeclampsia. The development of children born very preterm after preeclampsia diagnosis with and without FGR is not well characterized. Objective: To examine the associations of preeclampsia and FGR with developmental and/or behavioral outcomes in a cohort of very preterm infants. Design, Setting, and Participants: In this cohort study, infants in the prospective Neonatal Neurobehavior and Outcomes in Very Preterm Infants study were enrolled between April 2014 and June 2016 from 9 US university-affiliated neonatal intensive care units (NICUs). Eligible infants were born before 30 weeks' gestation. Infants were excluded for any major congenital anomalies and for maternal age younger than 18 years or cognitive impairment impacting the ability to provide informed consent. Data analysis was performed from November 2023 to January 2024. Exposure: Maternal preeclampsia and FGR in very preterm infants. Main Outcomes and Measures: The Bayley-III cognition, motor, and language scores less than 85 (-1 SD) indicated developmental delay. Child Behavior Checklist/Preschool 1.5-5 T-scores greater than or equal to 64 for internalizing, externalizing, or total problems indicated clinical importance. Results: Of 704 infants enrolled, 529 (mean [SD] gestational age, 27.0 [1.9] weeks; 287 male [54.3%]) were studied at 24-month follow-up. A total of 94 infants' mothers had preeclampsia (23.2%), and 46 infants (8.7%) had FGR. In adjusted models, preeclampsia was not associated with Bayley-III (cognitive, B = 3.43 [95% CI, -0.19 to 6.66]; language, B = 3.92 [95% CI, 0.44 to 7.39]; motor, B = 1.86 [95% CI, -1.74 to 5.47]) or Child Behavior Checklist/Preschool 1.5-5 (internalizing, B = -0.08 [95% CI, -2.58 to 2.73]; externalizing, B = 0.69 [95% CI, -1.76 to 3.15]; total, B = 0.21 [95% CI, -2.48 to 2.91]) outcomes. FGR was associated with significantly lower Bayley-III scores (cognitive, B = -8.61 [95% CI, -13.33 to -3.89]; language, B = -8.29 [95% CI, -12.95 to -3.63]; motor, B = -7.60 [95% CI, -12.40 to -2.66]), regardless of preeclampsia status. Conclusions and Relevance: In this cohort study of preterm infants, preeclampsia was not associated with developmental and/or behavioral outcomes, but infants with FGR may be prone to developmental delays. These findings suggest future areas of research for understanding the roles of preeclampsia and FGR separately and together in early child development for preterm infants.

Evidence for neurobehavioral risk phenotypes at birth.

Observations of newborn behavior provide clinicians and researchers with a first description of the neurobehavioral organization of the newborn that is largely independent of the postnatal environment. The Neonatal Network Neurobehavioral Scale (NNNS) was developed in 2004 to evaluate how prenatal exposure to substances such as cocaine is related to neurobehavioral outcomes. There are now 156 empirical articles published using the NNNS, which we review and summarize. Z-scores from published studies using the NNNS were compiled and aggregated supporting the replicability of three newborn neurobehavioral phenotypes: one typical and two that are predictive of later cognitive and behavioral delay; hyper- and hypo-dysregulated newborns. These phenotypes emerged from independent samples and research groups and were identified in a variety of populations, including infants with prenatal substance exposure, preterm infants, and healthy term infants. Our findings show that newborn neurobehavior can be measured in a reliable and valid manner and that certain behavioral phenotypes, identifiable at birth, can predict neurodevelopmental challenges. These findings have important clinical utility. Intervening early with infants exhibiting these risk phenotypes may prevent later neurodevelopmental delay. IMPACT: We reviewed all empirical studies published using the Neonatal Network Neurobehavioral Scale and found evidence for two replicable stress phenotypes that predict later behavioral outcomes. This study highlights the utility of the Neonatal Network Neurobehavioral Scale for early identification of newborn neurodevelopmental risk phenotypes. Early identification of neurodevelopmental risk, when neuroplasticity is high, may ultimately reduce the burden of subsequent neurobehavioral problems through early intervention.

Neonatal neurobehavior associated with developmental changes from age 2 to 3 in very preterm infants.

OBJECTIVE: Understand how high-risk infants' development changes over time. Examine whether NICU Network Neurobehavioral Scale (NNNS) profiles are associated with decrements in developmental outcomes between ages 2 and 3 years in infants born very preterm. STUDY DESIGN: The Neonatal Outcomes for Very preterm Infants (NOVI) cohort is a multisite prospective study of 704 preterm infants born <30 weeks' gestation across nine university and VON affiliated NICUs. Data included infant neurobehavior measured by NNNS profiles at NICU discharge and the Bayley Scales of Infant and Toddler Development (BSID-III) at ages 2 and 3 years. Generalized estimating equations tested associations between NNNS profiles and BSID-III composite score changes between ages 2 and 3 years. RESULTS: The final study sample included 433 infants with mean gestational age of 27 weeks at birth. Infants with dysregulated NNNS profiles were more likely to have decreases in BSID-III Cognitive (OR = 2.66) and Language scores (OR = 2.53) from age 2 to 3 years compared to infants with more well-regulated neurobehavioral NNNS profiles. Further, infants with more well-regulated NNNS profiles were more likely to have increases in BSID-III Cognitive scores (OR = 2.03), rather than no change, compared to infants with dysregulated NNNS profiles. CONCLUSIONS AND RELEVANCE: Prior to NICU discharge, NNNS neurobehavioral profiles identified infants at increased risk for developing later language and cognitive challenges. Findings suggests that neonatal neurobehavior provides a unique, clinically significant contribution to the evaluation of very preterm infants to inform treatment planning for the most vulnerable.

Developmental characteristics and accuracy of autism screening among two-year-old toddlers in the ECHO program.

BACKGROUND: The Modified Checklist for Autism in Toddlers (M-CHAT) is a common pediatric screening tool with mixed accuracy findings. Prior evidence supports M-CHAT screening for developmental concerns, especially in toddlers born preterm. This study examined M-CHAT accuracy in a large, nationwide sample. METHODS: 3393 participants from the Environmental influences on Child Health Outcomes (ECHO) program were included. Harmonized M-CHAT (M-CHAT-H) results were compared with parent-reported autism diagnosis and autism-related characteristics to assess accuracy for term and preterm children, together and separately. Generalized estimating equations, clustering for ECHO cohort and controlling for demographic covariates, were used to examine associations between developmental and behavioral characteristics with M-CHAT-H accuracy. RESULTS: Sensitivity of the M-CHAT-H ranged from 36 to 60%; specificity ranged from 88 to 99%. Positive M-CHAT-H was associated with more developmental delays and behavior problems. Children with severe motor delays and more autism-related problems were more likely to have a false-negative M-CHAT-H. Children with fewer behavior problems and fewer autism-related concerns were more likely to have a false-positive screen. CONCLUSION: The M-CHAT-H accurately detects children at low risk for autism and children at increased risk with moderate accuracy. These findings support use of the M-CHAT-H in assessing autism risk and developmental and behavioral concerns in children. IMPACT: Previous literature regarding accuracy of the Modified Checklist for Autism in Toddlers (M-CHAT) is mixed but this study provides evidence that the M-CHAT performs well in detecting children at low risk for autism and consistently detects children with developmental delays and behavioral problems. The M-CHAT moderately detects children at increased risk for autism and remains a useful screening tool. This study examines M-CHAT accuracy in a large-scale, nationwide sample, examining associations between screening accuracy and developmental outcomes. These findings impact pediatric screening for autism, supporting continued use of the M-CHAT while further elucidating the factors associated with inaccurate screens.

Epigenetic associations in HPA axis genes related to bronchopulmonary dysplasia and antenatal steroids.

BACKGROUND: Bronchopulmonary dysplasia (BPD), a common morbidity among very preterm infants, is associated with chronic disease and neurodevelopmental impairments. A hypothesized mechanism for these outcomes lies in altered glucocorticoid (GC) activity. We hypothesized that BPD and its treatments may result in epigenetic differences in the hypothalamic-pituitary-adrenal (HPA) axis, which is modulated by GC, and could be ascertained using an established GC risk score and DNA methylation (DNAm) of HPA axis genes. METHODS: DNAm was quantified from buccal tissue (ECHO-NOVI) and from neonatal blood spots (ELGAN ECHO) via the EPIC microarray. Prenatal maternal characteristics, pregnancy complication, and neonatal medical complication data were collected from medical record review and maternal interviews. RESULTS: The GC score was not associated with steroid exposure or BPD. However, six HPA genes involved in stress response regulation demonstrated differential methylation with antenatal steroid exposure; two CpGs within FKBP5 and POMC were differentially methylated with BPD severity. These findings were sex-specific in both cohorts; males had greater magnitude of differential methylation within these genes. CONCLUSIONS: These findings suggest that BPD severity and antenatal steroids are associated with DNAm at some HPA genes in very preterm infants and the effects appear to be sex-, tissue-, and age-specific. IMPACT: This study addresses bronchopulmonary dysplasia (BPD), an important health outcome among preterm neonates, and interrogates a commonly studied pathway, the hypothalamic-pituitary-adrenal (HPA) axis. The combination of BPD, the HPA axis, and epigenetic markers has not been previously reported. In this study, we found that BPD itself was not associated with epigenetic responses in the HPA axis in infants born very preterm; however, antenatal treatment with steroids was associated with epigenetic responses.

Associations between neighborhood characteristics and child well-being before and during the COVID-19 pandemic: A repeated cross-sectional study in the Environmental influences on Child Health Outcomes (ECHO) program.

The corona virus disease (COVID-19) pandemic disrupted daily life worldwide, and its impact on child well-being remains a major concern. Neighborhood characteristics affect child well-being, but how these associations were affected by the pandemic is not well understood. We analyzed data from 1039 children enrolled in the Environmental influences on Child Health Outcomes Program whose well-being was assessed using the Patient-Reported Outcomes Measurement Information System Global Health questionnaire and linked these data to American Community Survey (ACS) data to evaluate the impacts of neighborhood characteristics on child well-being before and during the pandemic. We estimated the associations between more than 400 ACS variables and child well-being t-scores stratified by race/ethnicity (non-Hispanic white vs. all other races and ethnicities) and the timing of outcome data assessment (pre-vs. during the pandemic). Network graphs were used to visualize the associations between ACS variables and child well-being t-scores. The number of ACS variables associated with well-being t-scores decreased during the pandemic period. Comparing non-Hispanic white with other racial/ethnic groups during the pandemic, different ACS variables were associated with child well-being. Multiple ACS variables representing census tract-level housing conditions and neighborhood racial composition were associated with lower well-being t-scores among non-Hispanic white children during the pandemic, while higher percentage of Hispanic residents and higher percentage of adults working as essential workers in census tracts were associated with lower well-being t-scores among non-white children during the same study period. Our study provides insights into the associations between neighborhood characteristics and child well-being, and how the COVID-19 pandemic affected this relationship.

Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study.

BACKGROUND: Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied. OBJECTIVES: We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes. METHODS: We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics. RESULTS: Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [ß -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed. CONCLUSIONS: Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.

Toward a more holistic approach to the study of exposures and child outcomes.

Aim: The current work was designed to demonstrate the application of the exposome framework in examining associations between exposures and children's long-term neurodevelopmental and behavioral outcomes. Methods: Longitudinal data were collected from birth through age 6 from 402 preterm infants. Three statistical methods were utilized to demonstrate the exposome framework: exposome-wide association study, cumulative exposure and machine learning models, with and without epigenetic data. Results: Each statistical approach answered a distinct research question regarding the impact of exposures on longitudinal child outcomes. Findings highlight associations between exposures, epigenetics and executive function. Conclusion: Findings demonstrate how an exposome-based approach can be utilized to understand relationships between internal (e.g., DNA methylation) and external (e.g., prenatal risk) exposures and long-term developmental outcomes in preterm children.

Epigenome-wide association study identifies neonatal DNA methylation associated with two-year attention problems in children born very preterm.

Prior research has identified epigenetic predictors of attention problems in school-aged children but has not yet investigated these in young children, or children at elevated risk of attention problems due to preterm birth. The current study evaluated epigenome-wide associations between neonatal DNA methylation and attention problems at age 2 years in children born very preterm. Participants included 441 children from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) Study, a multi-site study of infants born < 30 weeks gestational age. DNA methylation was measured from buccal swabs collected at NICU discharge using the Illumina MethylationEPIC Bead Array. Attention problems were assessed at 2 years of adjusted age using the attention problems subscale of the Child Behavior Checklist (CBCL). After adjustment for multiple testing, DNA methylation at 33 CpG sites was associated with child attention problems. Differentially methylated CpG sites were located in genes previously linked to physical and mental health, including several genes associated with ADHD in prior epigenome-wide and genome-wide association studies. Several CpG sites were located in genes previously linked to exposure to prenatal risk factors in the NOVI sample. Neonatal epigenetics measured at NICU discharge could be useful in identifying preterm children at risk for long-term attention problems and related psychiatric disorders, who could benefit from early prevention and intervention efforts.

Contributions of prenatal risk factors and neonatal epigenetics to cognitive outcome in children born very preterm.

Children born less than 30 weeks gestational age (GA) are at high risk for neurodevelopmental delay compared to term peers. Prenatal risk factors and neonatal epigenetics could help identify preterm children at highest risk for poor cognitive outcomes. We aimed to understand the associations among cumulative prenatal risk, neonatal DNA methylation, and child cognitive ability at age 3 years, including whether DNA methylation mediates the association between prenatal risk and cognitive ability. We studied 379 neonates (54% male) born less than 30 weeks GA who had DNA methylation measured at neonatal intensive care unit discharge along with 3-year follow-up data. Cumulative prenatal risk was calculated from 24 risk factors obtained from maternal report and medical record and epigenome-wide neonatal DNA methylation was assayed from buccal swabs. At 3-year follow-up, child cognitive ability was assessed using the Bayley Scales of Infant and Toddler Development (third edition). Cumulative prenatal risk and DNA methylation at two cytosine-phosphate-guanines (CpGs) were uniquely associated with child cognitive ability. Using high-dimensional mediation analysis, we also identified differential methylation of 309 CpGs that mediated the association between cumulative prenatal risk and child cognitive ability. Many of the associated CpGs were located in genes (TNS3, TRAPPC4, MAD1L1, APBB2, DIP2C, TRAPPC9, DRD2) that have previously been associated with prenatal exposures and/or neurodevelopmental phenotypes. Our findings suggest a role for both prenatal risk factors and DNA methylation in explaining outcomes for children born preterm and suggest we should further study DNA methylation as a potential mechanism underlying the association between prenatal risk and child neurodevelopment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Approaches to protocol standardization and data harmonization in the ECHO-wide cohort study.

The United States (U.S.) National Institutes of Health-funded Environmental influences on Child Health Outcomes (ECHO)-wide Cohort was established to conduct high impact, transdisciplinary science to improve child health and development. The cohort is a collaborative research design in which both extant and new data are contributed by over 57,000 children across 69 cohorts. In this review article, we focus on two key challenging issues in the ECHO-wide Cohort: data collection standardization and data harmonization. Data standardization using a Common Data Model and derived analytical variables based on a team science approach should facilitate timely analyses and reduce errors due to data misuse. However, given the complexity of collaborative research designs, such as the ECHO-wide Cohort, dedicated time is needed for harmonization and derivation of analytic variables. These activities need to be done methodically and with transparency to enhance research reproducibility. IMPACT: Many collaborative research studies require data harmonization either prior to analyses or in the analyses of compiled data. The Environmental influences on Child Health Outcomes (ECHO) Cohort pools extant data with new data collection from over 57,000 children in 69 cohorts to conduct high-impact, transdisciplinary science to improve child health and development, and to provide a national database and biorepository for use by the scientific community at-large. We describe the tools, systems, and approaches we employed to facilitate harmonized data for impactful analyses of child health outcomes.

Two-Year Autism Risk Screening and 3-Year Developmental Outcomes in Very Preterm Infants.

Importance: Use of the Modified Checklist for Autism in Toddlers, Revised With Follow-Up, a 2-stage parent-report autism risk screening tool, has been questioned due to reports of poor sensitivity and specificity. How this measure captures developmental delays for very preterm infants may provide support for continued use in pediatric care settings. Objective: To determine whether autism risk screening with the 2-stage parent-report autism risk screening tool at age 2 years is associated with behavioral and developmental outcomes at age 3 in very preterm infants. Design, Setting, and Participants: Neonatal Neurobehavior and Outcomes for Very Preterm Infants was a longitudinal, multisite cohort study. Enrollment occurred April 2014 to June 2016, and analyses were conducted from November 2022 to May 2023. Data were collected across 9 university-affiliated neonatal intensive care units (NICUs). Inclusion criteria were infants born less than 30 weeks' gestational age, a parent who could read and speak English and/or Spanish, and residence within 3 hours of the NICU and follow-up clinic. Exposures: Prematurity and use of the 2-stage parent-report autism risk screening tool at age 2 years. Main Outcomes and Measures: Outcomes include cognitive, language, motor composites on Bayley Scales for Infant and Toddler Development, third edition (Bayley-III) and internalizing, externalizing, total problems, and pervasive developmental disorder (PDD) subscale on the Child Behavior Checklist (CBCL) at age 3 years. Generalized estimating equations tested associations between the 2-stage parent-report autism risk screening tool and outcomes, adjusting for covariates. Results: A total of 467 children (mean [SD] gestational age, 27.1 [1.8] weeks; 243 male [52%]) were screened with the 2-stage parent-report autism risk screening tool at age 2 years, and outcome data at age 3 years were included in analyses. Mean (SD) maternal age at birth was 29 (6) years. A total of 51 children (10.9%) screened positive on the 2-stage parent-report autism risk screening tool at age 2 years. Children with positive screening results were more likely to have Bayley-III composites of 84 or less on cognitive (adjusted odds ratio [aOR], 4.03; 95% CI, 1.65-9.81), language (aOR, 5.38; 95% CI, 2.43-11.93), and motor (aOR, 4.74; 95% CI, 2.19-10.25) composites and more likely to have CBCL scores of 64 or higher on internalizing (aOR, 4.83; 95% CI, 1.88-12.44), externalizing (aOR, 2.69; 95% CI, 1.09-6.61), and PDD (aOR, 3.77; 95% CI, 1.72-8.28) scales. Conclusions and Relevance: Results suggest that the 2-stage parent-report autism risk screening tool administered at age 2 years was a meaningful screen for developmental delays in very preterm infants, with serious delays detected at age 3 years.

Agreement Between Two Behavioral Rating Scales in Preschoolers Born Very Preterm.

OBJECTIVE: Broadband parent rating scales are commonly used to assess behavioral problems in children. Multiple rating scales are available, yet agreement between them is not well-understood. The objective of this study was to evaluate agreement between the Behavior Assessment System for Children, Third Edition (BASC-3), and Child Behavior Checklist 1.5 to 5 years (CBCL) in a sample of children born very preterm. METHOD: We assessed 73 children born < 30 weeks' gestational age whose caregivers completed the BASC-3 and CBCL at age 4. We examined correlations, within-person differences, and agreement in clinical categorization for all corresponding subscales and composites. RESULTS: Comparable subscales on the BASC-3 and CBCL were significantly correlated, albeit to differing magnitudes. Subscales indexing hyperactivity and attention problems were the most comparable across the 2 measures, evidenced by strong correlations and few to no differences in mean T-scores. Composite scores indexing internalizing, externalizing, and total problems were also strongly correlated, and there were no differences in the mean T-scores for externalizing or total problems across measures. Agreement in clinical classifications were weak to moderate, though again, the highest agreement was found for hyperactivity, attention, externalizing, and total problems. CONCLUSION: Agreement between BASC-3 and CBCL subscales was weak to moderate, with the exception of subscales related to attention and hyperactivity, as well as composite scores indicating overall behavior problems. Researchers and clinicians should consider these discrepancies when interpreting the results of behavior rating scales with preschool children because conclusions could differ based on the assessment that is used.

Opioid, methamphetamine, and polysubstance use: perinatal outcomes for the mother and infant.

The escalation in opioid pain relief (OPR) medications, heroin and fentanyl, has led to an increased use during pregnancy and a public health crisis. Methamphetamine use in women of childbearing age has now eclipsed the use of cocaine and other stimulants globally. Recent reports have shown increases in methamphetamine are selective to opioid use, particularly in rural regions in the US. This report compares the extent of our knowledge of the perinatal outcomes of OPRs, heroin, fentanyl, two long-acting substances used in the treatment of opioid use disorders (buprenorphine and methadone), and methamphetamine. The methodological limitations of the current research are examined, and two important initiatives that will address these limitations are reviewed. Current knowledge of the perinatal effects of short-acting opioids, OPRs, heroin, and fentanyl, is scarce. Most of what we know about the perinatal effects of opioids comes from research on the long-acting opioid agonist drugs used in the treatment of OUDs, methadone and buprenorphine. Both have better perinatal outcomes for the mother and newborn than heroin, but the uptake of these opioid substitution programs is poor (<50%). Current research on perinatal outcomes of methamphetamine is limited to retrospective epidemiological studies, chart reviews, one study from a treatment center in Hawaii, and the US and NZ cross-cultural infant Development, Environment And Lifestyle IDEAL studies. Characteristics of pregnant individuals in both opioid and MA studies were associated with poor maternal health, higher rates of mental illness, trauma, and poverty. Infant outcomes that differed between opioid and MA exposure included variations in neurobehavior at birth which could complicate the diagnosis and treatment of neonatal opioid withdrawal (NOWs). Given the complexity of OUDs in pregnant individuals and the increasing co-use of these opioids with MA, large studies are needed. These studies need to address the many confounders to perinatal outcomes and employ neurodevelopmental markers at birth that can help predict long-term neurodevelopmental outcomes. Two US initiatives that can provide critical research and treatment answers to this public health crisis are the US Environmental influences on Child Health Outcomes (ECHO) program and the Medication for Opioid Use Disorder During Pregnancy Network (MAT-LINK).