Project description:Repeated exposure and switching study of cigarette smoke and next generation tobacco product using 3D human bronchial epithelial cells
Project description:Transcription profiling of lesional and non-lesional skin from acne patients to study the role of inflammation in early acne lesions
Project description:In this study, we evaluated the utility of proteomics to identify plasma proteins in healthy participants from a phase I clinical trial with IFNβ-1a and pegIFNβ-1a biologics to identify potential pharmacodynamic (PD) biomarkers. Using a linear mixed-effects model with repeated measurement for product-time interaction, we found that 248 and 528 analytes detected by the SOMAscan® assay were differentially expressed (p-value < 6.86E-06) between therapeutic doses of IFNβ-1a or pegIFNβ-1a, and placebo, respectively. We further prioritized signals based on peak change, area under the effect curve over the study duration, and overlap in signals from the two products. Analysis of prioritized datasets indicated activation of IFNB1 signaling and an IFNB signaling node with IL-6 as upstream regulators of the plasma protein patterns from both products. Increased TNF, IL-1B, IFNG, and IFNA signaling also occurred early in response to each product suggesting a direct link between each product and these upstream regulators. In summary, we identified longitudinal global PD changes in a large array of new and previously reported circulating proteins in healthy participants treated with IFNβ-1a and pegIFNβ-1a that may help identify novel single proteomic PD biomarkers and/or composite PD biomarker signatures as well as provide insight into the mechanism of action of these products. Independent replication is needed to confirm present proteomic results and to support further investigation of the identified candidate PD biomarkers for biosimilar product development.
Project description:Data set contains LC-MS/MS data acquired on human skin with swabs to determine the impact of the developed beauty product on human skin of different types with emphasis on chemical and microbial changes
Project description:data from human skin samples (50% ethanol soaked cotton swabs used for sampling) from a clinical cohort undergoing immunosuppressant therapy following organ transplant.
Project description:We performed an untargeted metabolomic analysis on surficial human skin samples collected with moistened cotton swabs (water: ethanol, 50:50) using LC-HR-MS/MS. Data-dependent Acquisition was employed under positive ionization mode. Two cohorts were included, subjects exposed and non-exposed to petroleum-based chemicals.