20221114_Colgate_Regimen_Study
Ontology highlight
ABSTRACT:
INSTRUMENT(S): 6520B Q-TOF LC/MS
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Alexey Melnik
PROVIDER: MSV000090708 | MassIVE | Mon Nov 14 13:35:00 GMT 2022
REPOSITORIES: MassIVE
Similar Datasets
Project description:Skin swabs Colgate Regimen Study. Intervention study using skin beauty product with probiotics
2022-11-14 | MSV000090708 | GNPS
Project description:GC-MS data from extracts of skin swabs from selected individuals in beauty product impact study
2017-07-24 | MSV000081378 | GNPS
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.
2023-10-31 | GSE207945 | GEO
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
| MSV000081508 | GNPS
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.
2017-09-21 | MSV000081548 | MassIVE
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.
2020-10-21 | MSV000086350 | MassIVE
Project description:Using the Infinium HM450 platform, we have performed a longitudinal study of DNA methylation at birth and age 18 months in DNA from buccal swabs from 10 monozygotic (MZ) and 5 dizygotic (DZ) twin pairs from the Peri/postnatal Epigenetic Twins Study (PETS) cohort.
2013-03-06 | GSE42700 | GEO
Project description:Objectives: To understand the crosstalk between the immune system and keratinization in psoriatic skin, using a systems biology approach based on transcriptomics, proteomics and microbiome profiling. Methods: We collected the skin tissue biopsies and swabs in both lesion and non-lesion skin of 13 patients with psoriasis (PsO), 15 patients with psoriatic arthritis (PsA), and healthy skin from 12 patients with ankylosing spondylitis (AS). We performed transcriptome sequencing and metagenomics profiling on the local skin sites to study the similarities and differences in the molecular profiles between the three conditions. To assess the systemic nature of the disease, we performed a high-throughput proteome profiling to study the profiles of proteins circulating in the serum of the same donors. Results: We found that lesion and non-lesional samples were remarkably different in terms of their transcriptome profiles. Functional annotation of differentially expressed genes (DEGs) showed a major enrichment in neutrophil activation. By using co-expression gene networks, we identified a gene module that was associated with local psoriasis severity at the site of biopsy. From this module, we extracted a “core” set of genes that were functionally involved in neutrophil activation, epidermal cell differentiation and response to bacteria. Skin microbiome analysis revealed that the abundance of Enhydrobacter, Micrococcus and Leptotrichia were significantly correlated with the “core network” of genes. We further identified 39 circulating proteins from the serum that were significantly correlated with the corresponding local skin gene expression, highlighting systemic aberrations due to skin disease. Integration of “core” genes identified from skin with circulating protein profiles revealed PI3 as a key biomarker for psoriasis. Conclusions: We identified a core network that regulates inflammation and hyper-keratinization in psoriatic skin, and is associated with local disease severity and microbiome composition. Multi-omics analysis identified PI3 as a psoriasis-specific biomarker for disease severity and potential target for treatment strategies.
2022-12-28 | GSE186063 | GEO