Faculty Bibliography

Preterm birth poses a major public health challenge, with significant and heterogeneous developmental impacts. Latent profile analysis was applied to the National Institutes of Health Toolbox performance of 1891 healthy prematurely born children from the Adolescent Brain and Cognitive Development study (970 boys, 921 girls; 10.00 ± 0.61 years; 1.3% Asian, 13.7% Black, 17.5% Hispanic, 57.0% White, 10.4% Other). Three distinct neurocognitive profiles emerged: consistently performing above the norm (19.7%), mixed scores (41.0%), and consistently performing below the norm (39.3%). These profiles were associated with lasting cognitive, neural, behavioral, and academic differences. These findings underscore the importance of recognizing diverse developmental trajectories in prematurely born children, advocating for personalized diagnosis and intervention to enhance care strategies and long-term outcomes for this heterogeneous population.

INTRODUCTION/BACKGROUND:Maternal undernutrition and inflammation in utero may significantly impact the neurodevelopmental potential of offspring. However, few studies have investigated the effects of pregnancy interventions on long-term child growth and development. This study will examine the effects of prenatal nutrition and infection management interventions on long-term growth and neurodevelopmental outcomes of offspring. METHODS:The Enhancing Nutrition and Antenatal Infection Treatment ('ENAT') study (ISRCTN15116516) was a pragmatic, open-label, 2×2 factorial, randomised clinical effectiveness study implemented in 12 rural health centres in Amhara, Ethiopia. The study enrolled 2399 pregnant women who were randomised to receive routine care, an enhanced nutrition package (iron and folic acid, monthly household supply of iodised salt, and micronutrient-fortified balanced energy protein supplement for undernourished women), an enhanced infection management package (genitourinary tract infection screening and treatment, and enhanced deworming), or both packages. In the present Longitudinal Infant Development and Growth study, a subset of 480 children of mothers from ENAT will be recruited equally from each of the four study arms and visited at 12, 18, and 24 months of postnatal age. We will evaluate a range of domains and deploy multiple measures to assess child neurodevelopment, including resting electroencephalography and visual evoked potentials, Hammersmith Infant Neurological Examination, eye-tracking, Bayley Scales of Infant and Toddler Development (Bayley-III), and Magnetic Resonance Imaging (MRI). DISCUSSION/CONCLUSIONS:This study will advance understanding of the impact of nutrition and inflammation in pregnancy on long-term offspring neurodevelopment. This study aims to fill a critical knowledge gap on the benefits of prenatal interventions to promote the health of mothers and their offspring. ETHICS AND DISSEMINATION/BACKGROUND:This study was approved by the Institutional Review Boards of Addis Continental Institute of Public Health (ACIPH/IRB/002/2022) and Mass General Brigham (2023P000461). Results will be disseminated to local and international stakeholders. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT06296238.

This review summarizes recent findings on stress-related programming of brain development in utero, with an emphasis on situating findings within the mothers' broader psychosocial experiences. Meta-analyses of observational studies on prenatal stress exposure indicate the direction and size of effects on child neurodevelopment are heterogeneous across studies. Inspired by lifespan and topological frameworks of adversity, we conceptualize individual variation in mothers' lived experience during and prior to pregnancy as a key determinant of these heterogeneous effects across populations. We structure our review to discuss experiential categories that may uniquely shape the psychological and biological influence of stress on pregnant mothers and their developing children, including current socioeconomic resources, exposure to chronic and traumatic stressors, culture and historical trauma, and the contours of prenatal stress itself. We conclude by identifying next steps that hold potential to meaningfully advance the field of fetal programming.

The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. The longitudinal collection of biological samples from over 7000 birthing parents and their children within the HBCD study enables research on pre- and postnatal exposures (e.g., substance use, toxicants, nutrition), and biological processes (e.g., genetics, epigenetic signatures, proteins, metabolites) on neurobehavioral developmental outcomes. The following biosamples are collected from the birthing parent: 1) blood (i.e., whole blood, serum, plasma, buffy coat, and dried blood spots) during pregnancy, 2) nail clippings during pregnancy and one month postpartum, 3) urine during pregnancy, and 4) saliva during pregnancy and at in-person postnatal assessments. The following samples are collected from the child at in-person study assessments: 1) saliva, 2) stool, and 3) urine. Additionally, placenta tissue, cord blood, and cord tissue are collected by a subset of HBCD sites. Here, we describe the rationale for the collection of these biospecimens, their current and potential future uses, the collection protocol, and collection success rates during piloting. This information will assist research teams in the planning of future studies utilizing this collection of biological samples.

Fetal inflammation, typically measured indirectly through prenatal maternal cytokine markers, has been shown to impact early childhood executive functions (EFs), which are central to later cognitive and life outcomes. Here, we assessed the impact of prenatal inflammation on EF developmental trajectories using direct placenta histopathology measures in 131 mothers who predominantly self-identified as Black (90.8% Black; 0.8% Asian American, 1.5% biracial, 0.8% Latinx, 3.1% White, 3.1% Missing). We found that placental measures of inflammation were associated with limited gain in EF development from 3 to 5 years old. In follow up analyses, we addressed whether screening questionnaires in infancy might aid in classification of infants as higher risk for subsequent EF problems. We found that parent responses to the Ages & Stages Questionnaire and the Infant/Toddler Sensory Profile at 12 months predict the development of EF abilities in children exposed to chronic inflammation. These findings open promising opportunities for early screening of children at risk for poor executive functioning in children exposed to prenatal inflammation.

Understanding the sequence and timing of brain functional network development at the beginning of human life is critically important from both normative and clinical perspectives. Yet, we presently lack rigorous examination of the longitudinal emergence of human brain functional networks over the birth transition. Leveraging a large, longitudinal perinatal functional magnetic resonance imaging (fMRI) data set, this study models developmental trajectories of brain functional networks spanning 25 to 55 weeks of post-conceptual gestational age (GA). The final sample includes 126 fetal scans (GA = 31.36 ± 3.83 weeks) and 58 infant scans (GA = 48.17 ± 3.73 weeks) from 140 unique subjects. In this study, we document the developmental changes of resting-state functional connectivity (RSFC) over the birth transition, evident at both network and graph levels. We observe that growth patterns are regionally specific, with some areas showing minimal RSFC changes, while others exhibit a dramatic increase at birth. Examples with birth-triggered dramatic change include RSFC within the subcortical network, within the superior frontal network, within the occipital-cerebellum joint network, as well as the cross-hemisphere RSFC between the bilateral sensorimotor networks and between the bilateral temporal network. Our graph analysis further emphasized the subcortical network as the only region of the brain exhibiting a significant increase in local efficiency around birth, while a concomitant gradual increase was found in global efficiency in sensorimotor and parietal-frontal regions throughout the fetal to neonatal period. This work unveils fundamental aspects of early brain development and lays the foundation for future work on the influence of environmental factors on this process.

BACKGROUND/UNASSIGNED:Preterm birth (birth at <37 completed weeks gestation) is a significant public heatlh concern worldwide. Important health, and developmental consequences of preterm birth include altered temperament development, with greater dysregulation and distress proneness. AIMS/UNASSIGNED:The present study leveraged advanced quantitative techniques, namely machine learning approaches, to discern the contribution of narrowly defined and broadband temperament dimensions to birth status classification (full-term vs. preterm). Along with contributing to the literature addressing temperament of infants born preterm, the present study serves as a methodological demonstration of these innovative statistical techniques. STUDY DESIGN/UNASSIGNED:= 402) born at term, with data combined across investigations to perform classification analyses. SUBJECTS/UNASSIGNED:Participants included infants born preterm and term-born comparison children, either matched on chronological age or age adjusted for prematurity. OUTCOME MEASURES/UNASSIGNED:Infant Behavior Questionnaire-Revised Very Short Form (IBQ-R VSF) was completed by mothers, with factor and item-level data considered herein. RESULTS AND CONCLUSIONS/UNASSIGNED:Accuracy estimates were generally similar regardless of the comparison groups. Results indicated a slightly higher accuracy and efficiency for IBQR-VSF item-based models vs. factor-level models. Divergent patterns of feature importance (i.e., the extent to which a factor/item contributed to classification) were observed for the two comparison groups (chronological age vs. adjusted age) using factor-level scores; however, itemized models indicated that the two most critical items were associated with effortful control and negative emotionality regardless of comparison group.

IMPORTANCE/UNASSIGNED:Most research to understand postacute sequelae of SARS-CoV-2 infection (PASC), or long COVID, has focused on adults, with less known about this complex condition in children. Research is needed to characterize pediatric PASC to enable studies of underlying mechanisms that will guide future treatment. OBJECTIVE/UNASSIGNED:To identify the most common prolonged symptoms experienced by children (aged 6 to 17 years) after SARS-CoV-2 infection, how these symptoms differ by age (school-age [6-11 years] vs adolescents [12-17 years]), how they cluster into distinct phenotypes, and what symptoms in combination could be used as an empirically derived index to assist researchers to study the likely presence of PASC. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:Multicenter longitudinal observational cohort study with participants recruited from more than 60 US health care and community settings between March 2022 and December 2023, including school-age children and adolescents with and without SARS-CoV-2 infection history. EXPOSURE/UNASSIGNED:SARS-CoV-2 infection. MAIN OUTCOMES AND MEASURES/UNASSIGNED:PASC and 89 prolonged symptoms across 9 symptom domains. RESULTS/UNASSIGNED:A total of 898 school-age children (751 with previous SARS-CoV-2 infection [referred to as infected] and 147 without [referred to as uninfected]; mean age, 8.6 years; 49% female; 11% were Black or African American, 34% were Hispanic, Latino, or Spanish, and 60% were White) and 4469 adolescents (3109 infected and 1360 uninfected; mean age, 14.8 years; 48% female; 13% were Black or African American, 21% were Hispanic, Latino, or Spanish, and 73% were White) were included. Median time between first infection and symptom survey was 506 days for school-age children and 556 days for adolescents. In models adjusted for sex and race and ethnicity, 14 symptoms in both school-age children and adolescents were more common in those with SARS-CoV-2 infection history compared with those without infection history, with 4 additional symptoms in school-age children only and 3 in adolescents only. These symptoms affected almost every organ system. Combinations of symptoms most associated with infection history were identified to form a PASC research index for each age group; these indices correlated with poorer overall health and quality of life. The index emphasizes neurocognitive, pain, and gastrointestinal symptoms in school-age children but change or loss in smell or taste, pain, and fatigue/malaise-related symptoms in adolescents. Clustering analyses identified 4 PASC symptom phenotypes in school-age children and 3 in adolescents. CONCLUSIONS AND RELEVANCE/UNASSIGNED:This study developed research indices for characterizing PASC in children and adolescents. Symptom patterns were similar but distinguishable between the 2 groups, highlighting the importance of characterizing PASC separately for these age ranges.

BACKGROUND:The COVID-19 pandemic dramatically altered the psychosocial environment of pregnant women and new mothers. In addition, prenatal infection is a known risk factor for altered fetal development. Here we examine joint effects of maternal psychosocial stress and COVID-19 infection during pregnancy on infant attention at 6 months postpartum. METHOD/METHODS:One-hundred and sixty-seven pregnant mothers and infants (40% non-White; n = 71 females) were recruited in New York City (n = 50 COVID+, n = 117 COVID-). Infants' attentional processing was assessed at 6 months, and socioemotional function and neurodevelopmental risk were evaluated at 12 months. RESULTS:Maternal psychosocial stress and COVID-19 infection during pregnancy jointly predicted infant attention at 6 months. In mothers reporting positive COVID-19 infection, higher prenatal psychosocial stress was associated with lower infant attention at 6 months. Exploratory analyses indicated that infant attention in turn predicted socioemotional function and neurodevelopmental risk at 12 months. CONCLUSIONS:These data suggest that maternal psychosocial stress and COVID-19 infection during pregnancy may have joint effects on infant attention at 6 months. This work adds to a growing literature on the effects of the COVID-19 pandemic on infant development, and may point to maternal psychosocial stress as an important target for intervention. IMPACT/CONCLUSIONS:This study found that elevated maternal psychosocial stress and COVID-19 infection during pregnancy jointly predicted lower infant attention scores at 6 months, which is a known marker of risk for neurodevelopmental disorder. In turn, infant attention predicted socioemotional function and risk for neurodevelopmental disorder at 12 months. These data suggest that maternal psychosocial stress may modulate the effects of gestational infection on neurodevelopment and highlight malleable targets for intervention.