Faculty Bibliography

INTRODUCTION/BACKGROUND:In 2016, California legalized cannabis for adult recreational use; after recreational sales began in 2018, it became the largest retail market worldwide. This study profiled specific risks and prevention opportunities across age groups and examined changes in medically significant child cannabis exposures before and after legalization. METHODS:Researchers conducted analyses, including interrupted time-series, to examine 1695 California Poison Control System (CPCS) reports of cannabis exposure in children 0-17 years of age, from 2010-2020. Analyses were confined to moderate and severe exposures, identified by CPCS toxicologists as requiring medical attention. RESULTS:Monthly rates of moderate/severe cannabis exposure per million children increased following legalization (β=0.06, CI [0.05, 0.08]), especially in children under 5. Fourteen percent required critical care admission. Exposures were primarily unintentional in younger children (87.7-99.2%) and intentional in adolescents (85.5%). Across all ages, most exposures occurred in the home (94.0%) and involved edible products (83.5%). An analysis of packaging on edible brands frequently cited in health records found that most could be easily mistaken for popular candies and snack foods. CONCLUSIONS:Following cannabis legalization in California, reports of child cannabis exposures requiring medical attention increased significantly. Most reported cannabis exposures occurred in the home through the ingestion of edible products, often packaged to look like popular candy and snack food brands. To prevent these harms, cannabis legalization should be accompanied by robust marketing and packaging regulations (e.g., plain labels, larger warning labels). Secondary prevention should focus on educating parents and caregivers on safe cannabis storage in the home.

In the original publication [...].

BACKGROUND:Prenatal exposure to organophosphate esters (OPEs) has been linked to neurotoxic effects in children; however, epidemiological evidence remains inconclusive. We investigated associations of prenatal OPE exposure with child behaviors. METHODS:We analyzed data of 2948 mother-child dyads from 12 prospective cohorts of the Environmental influences on Child Health Outcomes (ECHO) Cohort. Nine OPE biomarkers quantified in prenatal maternal urine were modeled based on detection frequency. Child behaviors were assessed using the Child Behavior Checklist for Ages 1½-5. We used linear mixed effects models to examine associations between each OPE biomarker and composite T-scores. We evaluated child sex and social vulnerability as potential effect modifiers. RESULTS: = -0.89, 95% CI: -1.74, -0.04). Associations between high BCPP exposure and higher externalizing and total problem T-scores were stronger among children from highly vulnerable neighborhoods compared to those from less vulnerable neighborhoods (p-interaction < 0.1). Child sex modified associations for bis(1,3-dichloro-2-propyl) phosphate and high BCPP exposure, with males exhibiting greater adverse behaviors for all associations. DISCUSSION/CONCLUSIONS:Gestational exposure to several OPEs may be adversely associated with early behavioral development.

INTRODUCTION/BACKGROUND:Secondhand exposure to e-cigarettes represents a potential population health risk given e-cigarette's prevalence and their unknown health effects, particularly among vulnerable populations such as pregnant people. OBJECTIVES/OBJECTIVE:To explore metabolomic differences between pregnant people exposed vs. not exposed to secondhand e-cigarette aeresols, to identify possible biomarkers of exposure and metabolic pathways perturbed by e-cigarettes. METHODS:Exposed participants (n = 19) from the NYU Children's Health and Environment Study were matched to unexposed participants (n = 57) at a 1:3 ratio on age, hospital of recruitment, and race/ethnicity. Early-pregnancy urine samples were analyzed via an untargeted metabolomics platform using reverse-phase liquid chromatography mass-spectrometry. Feature-exposure associations were estimated using conditional logistic regression to adjust for matching factors. A sensitivity analysis was conducted adjusting for secondhand tobacco exposure. RESULTS:Among features enriched in the exposed group were flavonoids and flavor-related compounds including homoeriodictyol and naringenin-7-O-beta-D-glucuronide, 3-acetomidocoumarin, and guaiacol pentosylglucoside; synthetic drugs such as the endocannabinoid AM1172 and the stimulant alpha-PVP; and metabolites associated with lipid metabolism, including 2,4-undecadiene-8,10-diynoic acid isobutylamide, palmitamide, glycerol trihexanoate, and tetradecyl phosphonate. Among features negatively associated with exposure were xanthines. CONCLUSION/CONCLUSIONS:This study is the first untargeted metabolomics study investigating metabolomic markers of e-cigarette exposure, including secondhand exposure, in a pregnant cohort. Despite this study's small size and exploratory nature, the results of this work suggest that flavoring components could be biomarkers for e-cigarette exposure, and that co-exposure to e-cigarettes and other drugs may be prevalent.

INTRODUCTION/BACKGROUND:Social media is the most prominent source of online food and beverage advertisements (ads) seen by adolescents. Companies target adolescent social media users with ads that feature calorie-dense, nutrient-poor products, and exposure to ads drives poor diet and risk for future diet-related diseases. Black, Hispanic and lower socio-economic status youth are exposed to significantly more ads than White peers. Several state-level policies in the USA have passed restricting youth from accessing social media without parental approval, and some policies have banned advertising to youth. This protocol paper describes a current study that aims to understand the impact of such policies in two states, Louisiana and Texas, as they were among the first to be implemented with racially/ethnically diverse populations. METHODS AND ANALYSIS/METHODS:This study employs a repeated cross-sectional difference-in-difference design in which 700 youth ages 13-17 years are being recruited each year for 5 years (Louisiana n=175, Texas n=175, matched comparisons from other states n=350). Youth screen record their mobile devices for 60 minutes while they browse social media platforms (eg, TikTok, Instagram) or use the internet. They also complete a brief survey about a variety of topics (eg, health behaviours, mental health). Adolescents are compensated for screen recording ($75) and the survey ($25). Study team members are coding recordings for several characteristics, including media platforms used, appearances of food or beverages, and food or beverage type. We will estimate the impact of policies on food and beverage ads seen per hour using Ordinary Least Squares regression models and heterogeneity-robust standard errors clustered at the state level (by year and cumulatively). We will run additional models with interaction terms with income and race/ethnicity, separately, to test the role of the policies on health disparities. ETHICS AND DISSEMINATION/BACKGROUND:Study procedures have been approved by the Institutional Review Board of the NYU Grossman School of Medicine. We will distribute findings in peer-reviewed journals and at local and national conferences. To complement traditional dissemination pathways, we will create infographics to share with relevant community stakeholders. We will also share findings with policymakers in states that have passed or considered similar policies.

BACKGROUND:As individuals age, the immune system undergoes complex changes, including an increase in the number of CD8 T cells relative to CD4 T cells, a decline in naïve cell production (including T and B cells), and an accumulation of terminally differentiated cells with diminished functionality. These age-related immune alterations collectively contribute to immunosenescence, a phenotype associated with aging-related declines and diseases such as dementia, Alzheimer's disease, osteoporosis, and diabetes. Premature mortality at older ages often results from cumulative health deterioration initiated by physiological dysregulation over the life course. Mortality risk, therefore, provides a meaningful measure of the long-term impact of physiological changes, including those related to the immune system. Examining the link between mortality risk and immune aging in older adults could illuminate the underlying pathology of aging-related health decline. This study uses data from the Health and Retirement Study (HRS), a national, population-based sample of middle-aged and older Americans, to explore the relationship between specific immune aging ratios and six-year mortality, stratified by race/ethnicity and sex. RESULTS:Using a sample of 8,259 individuals from the HRS, we found that overall, the presence, magnitude, and direction of the association differed by the specific immune ratio measure, sex, and race/ethnicity. We found particularly robust associations among Hispanic and non-Hispanic Black females. Among Hispanic females, for example, a one-unit increase in the log CD4 EMRA: Naïve ratio was associated with a nearly 50% increase in mortality for Hispanic females and a 25% increase in mortality for non-Hispanic Black females which was robust to adjustment for additional covariates. While we found little evidence of an association between immune function and mortality among non-Hispanic White and Hispanic males, we found associations in the opposite direction as what we would expect among non-Hispanic Black males. For example, a one-unit increase in the CD4, EMRA: Naïve ratio was associated with a 15% decrease in mortality among non-Hispanic Black males. CONCLUSIONS:Our findings demonstrate that associations between immune aging and mortality are not uniform but instead vary in magnitude and direction across sex and racial/ethnic subgroups. The strongest and most consistent associations were observed among Hispanic and non-Hispanic Black females-groups experiencing multiple forms of marginalization-suggesting that these populations may face heightened vulnerability to the downstream consequences of immune aging. However, the absence or reversal of expected associations in some subgroups-particularly non-Hispanic Black males-underscores the complexity of immune aging processes and their interaction with social and biological contexts. These results highlight the importance of disaggregated analyses and suggest that immune aging may manifest and impact mortality risk differently across populations.

Altered fetal brain function is proposed as a mechanism underlying the relationship between prenatal maternal depression (PMD) and neurodevelopmental outcomes in offspring. This study investigated the association between PMD symptoms and fetal brain functional connectivity (FC) using graph theory. A total of 123 pregnant women participated in the study, completed the Center for Epidemiologic Studies Depression Scale (CES-D), and underwent fetal MRI scans. Results revealed a significant relationship between elevated PMD symptoms and reduced global efficiency in the right insular region of the fetal brain. However, because fetal age was not associated with local or global efficiency in the insular brain region, we cannot determine if the PMD-related reduction in insula global efficiency is indicative of an accelerated or delayed developmental pattern. This study is one of the few to examine fetal brain connectivity in relation to prenatal maternal depression, providing valuable insights into early neurodevelopmental risks and potential targets for early intervention.