Biomedical subjects

Rebecca L Smith

Publications and source records attributed to Rebecca L Smith.

3 recordsLinked to original sources

PubMed2026

Harnessing survey data across multiple demographic groups in Illinois to assess survey questions and reveal insights about ticks and tick-borne disease risk: a meta-comparison study.

BACKGROUND: Ticks and tick-borne diseases (TTBDs) are major public and veterinary health issues, existing at the intersection of behavioral, environmental, ecological, climatic, and entomological factors. Knowledge, attitudes, and practices (KAP) surveys have become an insightful tool to yield information regarding the behavioral factors that can predispose individuals to TTBDs. Here we present a unique meta-comparison study of six KAP surveys on TTBDs conducted in Illinois among various demographics: farmers, Extension workers, general public, veterinary, human medicine, and public health professionals. Our goals were multi-fold: (a) to develop an approach to compare KAP surveys used across several stakeholders on a subject of public health concern (i.e., TTBD risk), (b) to analyze the usefulness of questions for revealing information on TTBDs across varied demographic groups in Illinois, and (c) to reveal qualitative insights from the open text survey responses across these surveyed groups. METHODS: We conducted comparative and item response theory (IRT) analysis of all the surveyed questions, which yielded a final set of 39 questions on knowledge and practices, most of them with discriminatory power. Independent textual analysis of the survey responses led to the development of eight separate sub-categories across three main super categories: ticks and tick-borne disease (TBD) risk, TBD treatment and management, and TBD prevention. RESULTS: This study not only introduces a novel approach for comparing multiple KAP surveys on the topic of TTBDs, but also highlights gaps regarding TTBD knowledge, perceptions, and prevention measures among a variety of stakeholders and calls for tailored training and awareness campaigns to reduce the burden of TBDs in the Midwestern US. This meta-comparison approach unveils additional insights from the combined analyses of the KAP surveys. We also discuss perspectives of the surveyed demographics, their experiences with TTBDs, and provide recommendations for future public health efforts. CONCLUSION: These results can guide public health campaigns around TBDs in the United States and help reduce the increasing burden of TBDs on humans and animals.

Animals↗

PubMed2024

Phthalates and sex steroid hormones across the perimenopausal period: A longitudinal analysis of the Midlife Women's Health Study.

BACKGROUND: The menopausal transition involves significant sex hormone changes. Environmental chemicals, such as urinary phthalate metabolites, are associated with sex hormone levels in cross-sectional studies. Few studies have assessed longitudinal associations between urinary phthalate metabolite concentrations and sex hormone levels during menopausal transition. METHODS: Pre- and perimenopausal women from the Midlife Women's Health Study (MWHS) (n = 751) contributed data at up to 4 annual study visits. We quantified 9 individual urinary phthalate metabolites and 5 summary measures (e.g., phthalates in plastics (∑Plastic)), using pooled annual urine samples. We measured serum estradiol, testosterone, and progesterone collected at each study visit, unrelated to menstrual cycling. Linear mixed-effects models and hierarchical Bayesian kernel machine regression analyses evaluated adjusted associations between individual and phthalate mixtures with sex steroid hormones longitudinally. RESULTS: We observed associations between increased concentrations of certain phthalate metabolites and lower testosterone and higher sub-ovulatory progesterone levels, e.g., doubling of monoethyl phthalate (MEP), monobenzyl phthalate (MBzP), di-2-ethylhexyl phthalate (∑DEHP) metabolites, ∑Plastic, and ∑Phthalates concentrations were associated with lower testosterone (e.g., for ∑DEHP: -4.51%; 95% CI: -6.72%, -2.26%). For each doubling of MEP, certain DEHP metabolites, and summary measures, we observed higher mean sub-ovulatory progesterone (e.g., ∑AA (metabolites with anti-androgenic activity): 6.88%; 95% CI: 1.94%, 12.1%). Higher levels of the overall time-varying phthalate mixture were associated with lower estradiol and higher progesterone levels, especially for 2nd year exposures. CONCLUSIONS: Phthalates were longitudinally associated with sex hormone levels during the menopausal transition. Future research should assess such associations and potential health impacts during this understudied period.

Humans↗

PubMed2022

A multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses.

The phenotype of a cell and its underlying molecular state is strongly influenced by extracellular signals, including growth factors, hormones, and extracellular matrix proteins. While these signals are normally tightly controlled, their dysregulation leads to phenotypic and molecular states associated with diverse diseases. To develop a detailed understanding of the linkage between molecular and phenotypic changes, we generated a comprehensive dataset that catalogs the transcriptional, proteomic, epigenomic and phenotypic responses of MCF10A mammary epithelial cells after exposure to the ligands EGF, HGF, OSM, IFNG, TGFB and BMP2. Systematic assessment of the molecular and cellular phenotypes induced by these ligands comprise the LINCS Microenvironment (ME) perturbation dataset, which has been curated and made publicly available for community-wide analysis and development of novel computational methods ( synapse.org/LINCS_MCF10A ). In illustrative analyses, we demonstrate how this dataset can be used to discover functionally related molecular features linked to specific cellular phenotypes. Beyond these analyses, this dataset will serve as a resource for the broader scientific community to mine for biological insights, to compare signals carried across distinct molecular modalities, and to develop new computational methods for integrative data analysis.

Epidermal Growth Factor↗