Exploring the Nature of Arhopalus ferus (Coleoptera: Cerambycidae: Spondylidinae) Pheromone Attraction.

Cerambycid species of the Spondylidinae subfamily are distributed worldwide and are known for being prolific invaders that infest conifers. In New Zealand, Arhopalus ferus (Mulsant), the burnt pine longhorn beetle, is well-established and requires monitoring at high-risk sites such as ports, airports, and sawmills as part of the requirements to meet pine log export standards set by the New Zealand Ministry of Primary Industries (MPI). Currently, its surveillance relies on traps baited with host volatiles (i.e., ethanol and α-pinene). We used volatile collections from adult beetles, electroantennograms, and field trapping bioassays to identify the pheromones emitted by the burnt pine longhorn beetle A. ferus and their effects on its behaviour. We show that A. ferus males emit mainly (E)-fuscumol and geranylacetone, as well as the minor components, α-terpinene and p-mentha-1,3,8-triene, and that all four compounds elicit a dose-dependent response in antennae of both sexes. Traps baited with the binary combination of geranylacetone plus fuscumol captured significantly more female A. ferus than did unbaited traps in two of three field experiments. α-Terpinene did not affect A. ferus trap catches and effects of p-mentha-1,3,8-triene on trap catch were not determined. Our findings provide further evidence of the use of fuscumol and geranylacetone as aggregation-sex pheromones by longhorn beetles in the Spondylidinae subfamily, and suggest that their deployment in survey traps may improve the efficacy of A. ferus monitoring in New Zealand and elsewhere.

Prevalence of Eating Disorder Symptoms in Transgender and Gender Diverse Adolescents Presenting for Gender-Affirming Care.

PURPOSE: To describe the prevalence of eating disorder symptoms among adolescents seeking gender-affirming care. METHODS: Cross-sectional study of 660 gender-diverse adolescents who completed the Branched Eating Disorder Test to measure anorexia and bulimia symptoms. RESULTS: 23.9% (95% CI 20.7-27.4) reported both anorexia symptoms, namely overvaluation of weight and fear of (or recurrent interference with) weight gain. 0.9% (95% CI 0.3-2.0) reported all bulimia symptoms, namely overvaluation of weight, recurrent binge eating, and recurrent compensatory behaviors (e.g., weekly purging). For all symptoms, prevalence was higher among i) adolescents assigned female at birth compared to those assigned male at birth, and ii) adolescents who felt unsure about their gender identity compared to those who identified as trans or nonbinary. DISCUSSION: Clinicians should monitor eating disorder symptoms among adolescents presenting for gender-affirming care, especially among those assigned female at birth or who are unsure about their gender identity.

Sleeping Safe and Sound: A Multidisciplinary Hospital-wide Infant Safe Sleep Quality Improvement Initiative.

INTRODUCTION: Promoting safe sleep to decrease sudden unexpected infant death is challenging in the hospital setting. LOCAL PROBLEM: Concern for adherence to safe sleep practice across inpatient units at a large pediatric hospital. METHODS: Used quality improvement methodologies to promote safe sleep across all units. INTERVENTIONS: Development of a multidisciplinary expert group, hospital-wide guidelines, targeted interventions, and bedside audits to track progress. RESULTS: Adherence to safe sleep practices improved from 9% to 53%. Objects in the crib were a major barrier to maintaining a safe sleep environment. Safe sleep practices were less likely to be observed in infants with increased medical complexity (p = .027). CONCLUSIONS: Quality improvement methodology improved adherence to infant safe sleep guidelines across multiple units. Medically complex infants continue to be a challenge to safe sleep. Therefore, ongoing education for staff and further research into best practices for the most complex infant populations are necessary.

Impact of Distinct Anti-Androgen Exposures on the Plasma Metabolome in Feminizing Gender-Affirming Hormone Therapy.

CONTEXT: The plasma metabolome is a functional readout of metabolic activity and is associated with phenotypes exhibiting sexual dimorphism, such as cardiovascular disease. Sex hormones are thought to play a key role in driving sexual dimorphism. OBJECTIVE: Gender-affirming hormone therapy (GAHT) is a cornerstone of transgender care, but longitudinal changes in the plasma metabolome with feminizing GAHT have not been described. METHODS: Blood samples were collected at baseline and after three and six months of GAHT from transgender women (n = 53). Participants were randomized to different anti-androgens, cyproterone acetate or spironolactone. NMR-based metabolomics was used to measure 249 metabolic biomarkers in plasma. Additionally, we used metabolic biomarker data from an unrelated cohort of children and their parents (n = 3,748) to identify sex- and age-related metabolite patterns. RESULTS: We identified 43 metabolic biomarkers altered after six months in both anti-androgen groups, most belonging to the very low- or low-density lipoprotein subclasses, with all but one showing a decrease. We observed a cyproterone acetate-specific decrease in glutamine, glycine, and alanine levels. Notably, of the metabolic biomarkers exhibiting the most abundant 'sex- and age-related' pattern (higher in assigned female children and lower in assigned female adults, relative to assigned males), 80% were significantly lowered after GAHT, reflecting a shift toward the adult female profile. CONCLUSION: Our results suggest an anti-atherogenic signature in the plasma metabolome after the first six months of feminizing GAHT, with cyproterone acetate also reducing specific plasma amino acids. This study provides novel insight into the metabolic changes occurring across feminizing GAHT.

The US COVID-19 and Influenza Scenario Modeling Hubs: Delivering long-term projections to guide policy.

Between December 2020 and April 2023, the COVID-19 Scenario Modeling Hub (SMH) generated operational multi-month projections of COVID-19 burden in the US to guide pandemic planning and decision-making in the context of high uncertainty. This effort was born out of an attempt to coordinate, synthesize and effectively use the unprecedented amount of predictive modeling that emerged throughout the COVID-19 pandemic. Here we describe the history of this massive collective research effort, the process of convening and maintaining an open modeling hub active over multiple years, and attempt to provide a blueprint for future efforts. We detail the process of generating 17 rounds of scenarios and projections at different stages of the COVID-19 pandemic, and disseminating results to the public health community and lay public. We also highlight how SMH was expanded to generate influenza projections during the 2022-23 season. We identify key impacts of SMH results on public health and draw lessons to improve future collaborative modeling efforts, research on scenario projections, and the interface between models and policy.