V plex human biomarker 54 plex kit
The V-PLEX Human Biomarker 54-Plex Kit is a multiplex immunoassay designed to measure the levels of 54 different human biomarkers simultaneously from a single sample. The kit utilizes Mesoscale's electrochemiluminescence technology to provide quantitative data on various protein analytes related to inflammation, cardiovascular health, and other physiological processes.
6 protocols using v plex human biomarker 54 plex kit
Correlation of Serum Proteins with MAIT Cells
Proinflammatory Biomarker Profiling of Plasma
Plasma samples were analyzed for the presence of 54 proinflammatory markers including cytokines, chemokines, Th17 mediators, angiogenetic and vascular injury factors using the V-PLEX Human Biomarker 54-Plex Kit (MesoScale Diagnostics, Rockville, MD) Human Biomarker 54-Plex Kit consisting of Proinflammatory Panel 1, Cytokine Panel 1, Cytokine Panel 2, Chemokine Panel 1, Th17 Panel 1, Angiogenesis Panel 1 and the Vascular Injury Panel 2 according to the manufacturer’s instructions. All samples were run in two batches of 54-plex kits. 8 random technical duplicates were used to extrapolate the average CV. The presence of the analytes was measured in 96 well plates using the Quickplex SQ 120 instrument (Mesoscale) via electrochemiluminescence. Sample concentrations were calculated following extrapolation of the analyte standard curves with a four-parameter logistic fit using MSD Workbench 3.0 software.
Plasma Biomarker Analysis in Trisomy 21
Serum Chemokine Profiling in MDD
Cytokine Profiling of Infected and Treated Placental Cells
Comprehensive Biomarker Analysis for Health
Additionally, 249 metabolites and lipoprotein particles were analysed for 1866 samples by Nightingale Health (Finland) using targeted metabolomics, of which 171 metabolites in 1863 samples were successfully analysed (ESM Table 2). Polygenic risk scores (PRSs) for 28 phenotypes were calculated using the LDpred2 algorithm [23] (link) (ESM Table 3).
Phenotype and technical covariates Sex, date of birth, parental disease history and medication use were extracted from the Danish national registers. Self-reported height, weight and smoking status were extracted from questionnaires completed as part of the DBDS. Data for region, seasonality, time of day when sample was obtained and storage duration were available through the blood bank database.
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