Faculty Bibliography

Pyramidal cells (PCs) of hippocampal area CA2 exhibit increased excitability in temporal lobe epilepsy (TLE) and in mouse models of TLE. In epileptic mice, selective inhibition of CA2 PCs reduces chronic seizures. Here we asked if activating CA2 PCs increases seizures. Mice expressing Cre recombinase in CA2 PCs (Amigo2-Cre mice) were injected with the convulsant pilocarpine to induce a period of severe seizures (status epilepticus, SE), which leads to chronic seizures after 3-4 weeks (epilepsy). Epileptic mice were injected with a Cre-dependent adeno-associated virus (AAV) to express an excitatory designer receptor exclusively activated by designer drug (eDREADD; hM3Dq) in dorsal CA2 bilaterally and implanted with subdural EEG electrodes. After recovery, mice were recorded continuously using video and EEG for 6 weeks, 3 weeks with drinking water containing the eDREADD activator clozapine-N-oxide (CNO) and 3 weeks without CNO. CA2 activation with CNO caused a significant increase in seizure frequency and duration. Seizures occurred in clusters (many seizures per day over several consecutive days) and mice given water with CNO had a greater maximum number of seizures per day during a cluster compared to water without CNO. CNO had no significant effect in control mice. In naïve Amigo2-Cre mice expressing hM3Dq, pre-treatment with CNO before pilocarpine administration shortened the latency to SE and increased EEG power at the start of SE. Taken together with prior findings, the results suggest that CA2 is a control point for regulating seizures in the pilocarpine mouse model of TLE.

BACKGROUND:People with mental disorders have an increased risk of diabetes, yet conflicting evidence exists regarding the quality of diabetes care they receive. To address this evidence gap, we conducted a systematic review and meta-analysis to assess and compare diabetes quality of care in people with diabetes with mental disorders versus people with diabetes without mental disorders. METHODS:test, blood pressure measured, foot surveillance, serum creatinine test, serum cholesterol test, BMI recorded, smoking status recorded, retinal monitoring). Secondary outcomes were study-specific diabetes quality of care individual indicators matched to the nine NICE diabetes monitoring indicators and specific diabetes interventions and anti-diabetes medications. We analysed primary and secondary outcomes according to any mental disorder and to specific diagnostic subgroups. Study quality was evaluated using the Newcastle-Ottawa Scale (NOS). FINDINGS/RESULTS:measurement (24 studies, 0·81 [0·68-0·97], p=0·024), retinal screening (21 studies, 0·77 [0·63-0·95], p=0·013), lipid and cholesterol measurement (20 studies, 0·83 [0·69-0·99], p=0·043), foot examination (11 studies, 0·85 [0·76-0·95], p=0·0044), and renal investigation (16 studies, 0·78 [0·63-0·96], p=0·022). A significant positive association was found between any mental disorder and recorded smoking status (two studies, 1·09 [1·02-1·17]; p=0·0076). Any mental disorder was significantly associated with higher odds of receiving insulin (ten studies, 1·52 [95% CI 1·16-1·99]; p=0·0022), but negatively associated with treatment with a GLP-1 receptor agonist (two studies, 0·26 [0·13-0·49]; p<0·0001). There was no evidence of publication bias. INTERPRETATION/CONCLUSIONS:Mental disorders are negatively associated with receiving adequate diabetes monitoring and GLP-1 agonist therapy. Addressing these disparities has the potential to address the increased mortality associated with mental disorders. FUNDING/BACKGROUND:None.

IMPORTANCE/UNASSIGNED:Millions of children worldwide are experiencing prolonged symptoms after SARS-CoV-2 infection, yet social risk factors for developing long COVID are largely unknown. As child health is influenced by the environment in which they live and interact, adverse social determinants of health (SDOH) may contribute to the development of pediatric long COVID. OBJECTIVE/UNASSIGNED:To identify whether adverse SDOH are associated with increased odds of long COVID in school-aged children and adolescents in the US. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This cross-sectional analysis of a multicenter, longitudinal, meta-cohort study encompassed 52 sites (health care and community settings) across the US. School-aged children (6-11 years; n = 903) and adolescents (12-17 years; n = 3681) with SARS-CoV-2 infection history were included. Those with an unknown date of first infection, history of multisystem inflammatory syndrome in children, or symptom surveys with less than 50% of questions completed were excluded. Participants were recruited via health care systems, long COVID clinics, fliers, websites, social media campaigns, radio, health fairs, community-based organizations, community health workers, and existing research cohorts from March 2022 to August 2024, and surveys were completed by caregivers between March 2022 and August 2024. EXPOSURE/UNASSIGNED:Twenty-four individual social determinant of health factors were grouped into 5 Healthy People 2030 domains: economic stability, social and community context, caregiver education access and quality, neighborhood and built environment, and health care access and quality. Latent classes were created within each domain and used in regression models. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Presence of long COVID using caregiver-reported, symptom-based, age-specific research indices. RESULTS/UNASSIGNED:The mean (SD) age among 4584 individuals included in this study was 14 (3) years, and 2330 (51%) of participants were male. The number of latent classes varied by domain; the reference group was the class with the least adversity. In unadjusted analyses, most classes in each domain were associated with higher odds of long COVID. After adjusting for many factors, including age group, sex, timing of infection, referral source, and other social determinant of health domains, economic instability characterized by difficulty covering expenses, poverty, receipt of government assistance, and food insecurity were associated with an increased risk of having long COVID (class 2 adjusted odds ratio [aOR], 1.57; 95% CI, 1.18-2.09; class 4 aOR, 2.39; 95% CI, 1.73-3.30); economic instability without food insecurity (class 3) was not (aOR, 0.93; 95% CI, 0.70-1.23). Poorer social and community context (eg, high levels of discrimination and low social support) was also associated with long COVID (aOR, 2.17; 95% CI, 1.77-2.66). Sensitivity analyses stratified by age group and adjusted for race and ethnicity did not alter or attenuate these results. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this study, economic instability that included food insecurity and poor social and community context were associated with greater odds of pediatric long COVID. Those with food security, despite experiencing other economic challenges, did not have greater odds of long COVID. Further study is needed to determine if addressing SDOH factors can decrease the rate of pediatric long COVID.

Evidence from rodent studies highlights the mother as a safety cue that regulates fear and biology. However, when infant rats are exposed to rough maternal care (i.e., threat), their brains show atypical patterns of activity in response to maternal cues. In humans, childhood adversity (i.e., international adoption, involvement with Child Protective Services) is also associated with differential neural responses to caregiver cues. However, to date, no studies have tested the hypothesis that childhood adversity characterized by threat (e.g., physical abuse, domestic violence) influences neural responses to caregiver cues in children, as suggested by the rodent literature. This study investigates associations between threat experiences and neural responses to caregiver cues in young children using fMRI. The sample included 148 young children (52.02% Male; M_age = 6.45 years). Across the entire sample, children demonstrated heightened recruitment in regions associated with salience detection, visual processing, and social cognition in response to caregiver cues (relative to stranger cues). Moreover, threat experiences were associated with greater recruitment of the insula in response to caregiver cues (relative to stranger cues), even when controlling for deprivation experiences. The present findings contribute to a growing field of research linking childhood adversity to brain function, suggesting that experiences of threat may disrupt how children process caregiver cues at the neural level. Moreover, these results are in line with rodent studies that underscore threat as a potential disruptor of dyadic interaction between children and their caregivers. SUMMARY: Children demonstrate widespread brain activation in response to caregiver cues. Threat experiences are linked to heightened activation of the insula, a region implicated in salience detection and primary visceral processing, in response to caregiver cues. These findings suggest that caregiver cue processing might be a mechanism through which threat impacts the caregiver-child relationship, leading to cascading effects on mental health.

BACKGROUND/UNASSIGNED:Autism spectrum disorder (ASD) shows significant clinical variability, likely due to a combination of genetic and environmental factors. Preterm birth is a known risk factor for ASD, occurring in approximately 13% of diagnosed individuals. While genetic factors contribute to preterm birth in the general population, the relationship between genetic variation, preterm birth, and ASD heterogeneity remains unclear. METHODS/UNASSIGNED:We investigated the genetic factors associated with preterm birth in 31,947 autistic individuals using data from the SPARK (Simons Foundation Powering Autism Research for Knowledge) sample. We conducted 3 ancestry-specific genome-wide association studies for African/African American, admixed American, and non-Finnish European ancestries, followed by a meta-analysis of 3308 preterm cases and 28,639 controls using METAL. Functional mapping and gene-based analyses were performed using FUMA, and genetic correlations were estimated using LDSC and Popcorn. Polygenic risk scores (PRSs) were computed with BridgePRS, using PRS of preterm birth in the general population. RESULTS/UNASSIGNED:Our study identified ancestry-specific genetic loci associated with preterm birth in ASD cases. Although the meta-analysis results were not statistically significant, the estimated single nucleotide polymorphism heritability was 14%, indicating a meaningful contribution of common genetic variants. Across ancestry groups, preterm birth status was not significantly associated with PRSs for any psychiatric or medical conditions analyzed. However, polygenic liability to preterm birth in the general population was linked to several congenital anomalies after multiple testing adjustments. CONCLUSIONS/UNASSIGNED:These findings highlight the importance of diverse ancestries and early-life exposures in understanding ASD heterogeneity. Future research should replicate these findings in larger samples and explore rare variants associated with preterm birth to better understand the relationship between gestational duration and clinical and genetic differences in ASD.

STUDY QUESTION/OBJECTIVE:Is there an association between infertility diagnosis and long-term adult-onset psychiatric conditions in women? SUMMARY ANSWER/CONCLUSIONS:Infertility diagnosis in women is linked to higher risks of mood disorders, anxiety- and stress-related disorders, and behavioral syndromes with physical components, but not schizophrenia or other psychotic disorders, particularly notable from 9 years after the first infertility diagnosis. WHAT IS KNOWN ALREADY/BACKGROUND:Infertility, especially in women, is associated with major mental health challenges around the time of diagnosis. However, the long-term connection with a wide range of psychiatric disorders is largely unknown. STUDY DESIGN, SIZE, DURATION/METHODS:This study employed a matched-pair design within the UK Biobank (UKB) cohort, including 3893 females with a diagnosis of infertility and 15 603 matched female controls, totaling 19 496 participants. PARTICIPANTS/MATERIALS, SETTING, METHODS/METHODS:Female UKB participants with a diagnosis of infertility were matched to females without the diagnosis in a 1:4 ratio based on year of birth, index of deprivation of their residency area, and primary care data linkage status. The diagnosis of female infertility was identified by the first occurrence of a primary or secondary diagnosis in either primary care or hospital records. Additional analyses explored interactions between infertility diagnosis and both miscarriage and childbearing status on psychiatric conditions. MAIN RESULTS AND THE ROLE OF CHANCE/RESULTS:Diagnosis of infertility was associated with higher risks of mood disorders, anxiety- and stress-related disorders, and behavioral syndromes with physical components, but not with schizophrenia or other psychotic disorders. The most notable increases in the risk of psychiatric diagnoses were observed 9 years after the first infertility diagnosis. No significant interactions were found between infertility diagnosis and either miscarriage or childbearing status on psychiatric conditions. Sensitivity analysis confirmed the robustness of these associations across different data sources for infertility diagnosis and psychiatric condition ascertainment. LIMITATIONS, REASONS FOR CAUTION/CONCLUSIONS:The study's limitations include the racial homogeneity and the overall healthier status of the UKB cohort compared to the general UK population and the potential underestimation of associations due to misclassification of subfecund women. WIDER IMPLICATIONS OF THE FINDINGS/CONCLUSIONS:These results emphasize the need for integrated mental health support in infertility care and long-term monitoring of infertility patients for psychiatric risks. STUDY FUNDING/COMPETING INTEREST(S)/BACKGROUND:None. No competing interests were declared. TRIAL REGISTRATION NUMBER/BACKGROUND:n/a.

This review showcases the ways that studying the neural basis of Behavioral Inhibition (BI) and maternal anxiety in infancy has advanced our understanding of the developmental pathophysiology of anxiety. We demonstrate that infants with BI and those who have been exposed to maternal anxiety/stress exhibit differences in neural processes associated with bottom-up attention and top-down control, both when we measure the brain at rest and when we measure the brain during stimulus processing. Differences in infant stimulus processing are particularly robust-not only do they emerge in at-risk infants, but they also shape risk trajectories from infancy through adolescence. Throughout this review, we underscore the value in a focus on infancy and early childhood. We also point to several key future directions for this work, including prioritizing a longitudinal, multi-modal approach for studying neurobehavioral profiles of early-life risk. Together, this work demonstrates that neural processes involved in attention and control are central to BI and early-life risk for anxiety across the lifespan.

Household chaos has been shown to be an important predictor across multiple domains of children's development, with both direct associations and indirect associations through changes in parenting practices. Yet, little is known about these associations among immigrant families. Data from the Children, Community, and Caregivers (C3) Study of the larger Together Growing Strong place-based initiative among predominantly Chinese and Latine immigrant families in the Sunset Park neighborhood of Brooklyn, New York were used to examine cross-sectional associations between household chaos and child behavior and receptive vocabulary at child ages 4 and 6 (N = 187). The STROBE checklist for cross-sectional research was adhered to. Linear regression models were used to examine unique contributions of variables, as well as structural equation modeling to examine mediation through parenting stress. As a supplemental exploratory analysis, differences in associations between household chaos and child behavior and language by race/ethnicity were further examined. There were significant positive associations between household chaos and parental reports of children's problem behavior (β = 0.21, 95% CI [0.07-0.35]) and significant negative associations between household chaos and direct assessments of children's receptive vocabulary (β=-0.21, 95% CI [-0.37 - -0.04]). Further, there were indirect associations of household chaos through parenting stress for child problem behavior only (β = 0.11, 95% CI [0.05-0.17]). The results for the main linear regression models and mediation models were primarily driven by Chinese families. Implications for predictors of child development in immigrant populations and the enduring salience of household chaos are discussed.

Our objective was to examine the role of structural racism and economic disadvantage in perinatal health inequities using the Environmental influences on Child Health Outcomes Cohort. Participants' addresses were linked to area-level measures of life expectancy, education, unemployment, health insurance, jail rate, segregation, and housing cost burden. We created absolute measures to represent economic disadvantage and relative measures comparing values for Black or Latinx people to White people in the same area to represent structural racism. We used quantile G-computation to estimate the effects of a one-quartile increase in all exposures simultaneously on fetal growth and gestational age measures. A one-quartile increase in economic disadvantage was associated with a reduction in birthweight [(-25.65 grams, 95% CI (-45.83, -5.48)], but not gestational age [-0.02 weeks, 95% CI (-0.13, 0.09)]. With a one-quartile increase in Latinx-White structural racism, we observed reductions in birthweight [-80.83, 95% CI (-143.42, -18.23)) among Latinx participants. A one-quartile increase in Black-White structural racism was weakly associated with lower birthweight among Black participants [-15.70, 95% CI (-82.89, 51.48)] but was associated with higher birthweight among White participants [57.47, 95% CI (13.26, 101.67)]. Our findings suggest co-occurring forms of structural inequity likely influence racialized disparities in fetal growth outcomes.