Study1PeaFiber
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00010002192 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:SOMAscan plasma proteome datasets generated from participants consuming the fiber blend snack prototype (study 2)
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Project description:SOMAscan plasma proteome datasets generated from participants consuming the orange fiber snack prototype (study 2)
| EGAD00010002191 | EGA
Project description:SOMAscan plasma proteome datasets generated from participants consuming the pea fibre snack prototype (study 1)
| EGAD00010002133 | EGA
Project description:The worldwide increase in snack-food consumption associated with adoption of Westernized lifestyles provides an opportunity to introduce new nutritious foods into non-nutritious diets. We describe two 10-week-long pilot studies of obese or overweight individuals measured the effects of pea fiber- or orange fiber-containing snack food prototypes on the abundances of fecal microbiome glycoside hydrolases (GH) and polysaccharide lyases (PL), fecal glycan metabolism, and >1300 plasma proteins. Computational methods for feature selection plus contextual language processing software that extracts information from all PubMed abstracts referencing features of interest, identified treatment-discriminatory changes in GH and PL gene abundances that correlated with levels of fecal glycosidic linkages related to fiber metabolism, and plasma proteins representing diverse biological themes, including TGFβ/BMP-mediated fibrotic responses, VEGF-related angiogenic responses, P38/MAPK-associated immune cell biomarkers, and obesity-associated hormonal regulators. These results disclose fiber-snack prototype effects on microbiome function and host physiology in the context of varying background dietary practices.
| EGAS00001005330 | EGA
Project description:This study used SomaScan v 4.1 to profile>7000 proteins in maternal plasma and asses changes with gestational age and maternal characteristics. The study proposed models to estimate the expected protein abundance so that future datasets can be normalized agains these expected value to obtain Multiples of the Mean values.
2022-09-26 | GSE206454 | GEO
Project description:In order to investigate variations in the endotype of COVID19 patients, we completed an integrated analysis of 112 research participants, including 74 COVID19 patients versus 37 SARS-CoV-2 negative controls. COVID19 patients tested positive for SARS-CoV-2 infection by PCR and/or antibody testing and were hospitalized due to COVID19 symptoms, but none of them had developed severe pathology requiring ICU admission at the time of blood collection. The control group was recruited from the same hospital system but tested negative for SARS-CoV-2 infection. Research blood draws were obtained from consented participants and analyzed by matched SARS-CoV-2 seroconversion assays, plasma proteomics using two alternative platforms [mass-spectrometry (MS), and SOMAscan assays], 82-plex cytokine profiling using Meso Scale Discovery (MSD) assays, and immune cell profiling via mass cytometry (MC).
2021-03-04 | PXD022817 | Pride
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:This study used SomaScan v 4.1 to profile>7000 proteins in human plasma and assess changes with Sars-Cov-2 infection and with Covid-19 disease severity in pregnant and non-pregnant individuals.
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Project description:Characterizing microbiota-directed fiber snack food prototypes in gnotobiotic mice and humans
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Project description:There is a need to identify biomarkers of radiation exposure for use in development of circulating biodosimeters for radiation exposure and for clinical use as markers of radiation injury. Most research approaches for biomarker discovery rely on a single animal model. The current study sought to take advantage of a novel aptamer-based proteomic assay which has been validated for use in many species to characterize changes to the blood proteome after total-body irradiation (TBI) across four different mammalian species including humans. Plasma was collected from C57BL6 mice, Sinclair minipigs, and Rhesus non-human primates (NHPs) receiving a single dose of TBI at a range of 3.3 Gy to 4.22 Gy at 24 h postirradiation. NHP and minipig models were irradiated using a 60Co source at a dose rate of 0.6 Gy/min, the C57BL6 mouse model using an X-ray source at a dose rate of 2.28 Gy/min and clinical samples from a photon source at 10 cGy/min. Plasma was collected from human patients receiving a single dose of 2 Gy TBI collected 6 h postirradiation. Plasma was screened using the aptamer-based SomaLogic SomaScan® proteomic assay technology to evaluate changes in the expression of 1,310 protein analytes. Confirmatory analysis of protein expression of biomarker HIST1H1C, was completed using plasma from C57BL6 mice receiving a 2, 3.5 or 8 Gy TBI collected at days 1, 3, and 7 postirradiation by singleplex ELISA. Summary of key pathways with altered expression after radiation exposure across all four mammalian species was determined using Ingenuity Pathway Analysis (IPA). Detectable values were obtained for all 1,310 proteins in all samples included in the SomaScan assay. A subset panel of protein biomarkers which demonstrated significant (p < 0.05) changes in expression of at least 1.3-fold after radiation exposure were characterized for each species. IPA of significantly altered proteins yielded a variety of top disease and biofunction pathways across species with the organismal injury and abnormalities pathway held in common for all four species. The HIST1H1C protein was shown to be radiation responsive within the human, NHP and murine species within the SomaScan dataset and was shown to demonstrate dose dependent upregulation at 2, 3.5 and 8 Gy at 24 h postirradiation in a separate murine cohort by ELISA. The SomaScan proteomics platform is a useful screening tool to evaluate changes in biomarker expression across multiple mammalian species. In our study, we were able to identify a novel biomarker of radiation exposure, HIST1H1C, and characterize panels of radiation responsive proteins and functional proteomic pathways altered by radiation exposure across murine, minipig, NHP and human species. Our study demonstrates the efficacy of using a multispecies approach for biomarker discovery.
2024-01-03 | GSE252430 | GEO