Publications by authors named "D Rich"
Background: Sex steroid hormones are critical for maintaining pregnancy and optimal fetal development. Air pollutants are potential endocrine disruptors that may disturb sex steroidogenesis during pregnancy, potentially leading to adverse health outcomes.
Methods: In the Environmental influences on Child Health Outcomes Understanding Pregnancy Signals and Infant Development pregnancy cohort (Rochester, NY), sex steroid concentrations were collected at study visits in early-, mid-, and late-pregnancy in 299 participants.
Article Synopsis
- The study analyzed the relationship between certain types of particulate matter (PM) and hospitalizations or emergency visits for asthma and COPD in New York before and after implementing stricter automobile emission controls.
- Using statistical methods, it identified that increases in specific PM sources like spark-ignition emissions and secondary sulfates were linked to higher rates of asthma emergency visits, while diesel emissions had a negative association.
- After the new emission regulations were put in place, there was a decrease in COPD hospital admissions related to some PM sources, but asthma visits generally increased, highlighting the need for further investigation into these trends.
Benzo[]pyrene and phenanthrene hemoglobin adducts as biomarkers of longer-term air pollution exposure.
Environ Sci Process Impacts
November 2024
Article Synopsis
- The study examines PAH-hemoglobin adducts in blood samples from pregnant women in Rochester, NY, as potential long-term exposure biomarkers for air pollution.
- Researchers measured specific hydrolysis products of PAH-hemoglobin adducts (BaPT and PHET) and linked these to cumulative exposure to particulate matter (PM) during pregnancy.
- The results indicated positive correlations between these biomarker levels and PM exposure over specified gestational weeks, highlighting PAH-hemoglobin adducts as effective indicators of longer-term air pollution exposure, while no link was found with NO exposure.
Bayesian phylogenetics typically estimates a posterior distribution, or aspects thereof, using Markov chain Monte Carlo methods. These methods integrate over tree space by applying local rearrangements to move a tree through its space as a random walk. Previous work explored the possibility of replacing this random walk with a systematic search, but was quickly overwhelmed by the large number of probable trees in the posterior distribution.
View Article and Find Full Text PDFBackground: Limited understanding of the biology predisposing certain human papillomavirus-related (HPV+) oropharyngeal squamous cell carcinomas (OPSCCs) to relapse impedes therapeutic personalization. We aimed to identify molecular traits that distinguish recurrence-prone tumors.
Methods: 50 HPV+ OPSCCs that later recurred (cases) and 50 non-recurrent controls matched for stage, therapy, and smoking history were RNA-sequenced.