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CYTOCON as a tool to collect, compare and visualize available data on cells and cytokine concentrations in humans
EP37451
Poster Title: CYTOCON as a tool to collect, compare and visualize available data on cells and cytokine concentrations in humans
Submitted on 07 Jul 2021
Author(s): Vlad Leonov, Ekaterina Mogilevskaia, Elita Gerasimuk, Nail Gizzatkulov, Oleg Demin
Affiliations: InSysBio
This poster was presented at ACoP11
Poster Views: 446
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Poster Information
Abstract: Objectives:
Calibration of QSP models may require comparison of model simulations with in vivo baseline data measured in different tissues of patients. The data is often available in scientific literature and represents cytokine and cell concentrations measured in patients. The data is typically measured in different units and for different patient groups with various demographic and disease associated characteristics. These features make it difficult direct use of the
baseline in vivo data for calibration of a QSP model. To cope with the difficulties and facilitate access of QSP modelers to such type of in vivo data we have developed an online database and started to collect baseline in vivo data available in public domain [http://cytocon.insysbio.com/]. The aim of the poster is to describe the database and demonstrate its application for the comparison of baseline values of cells and cytokines.
Methods:
CYTOCON DB (Cell and cYTOkine CONcentrations database) is developed as a web application based on the ASP.NET MVC framework, Microsoft IIS web server, Microsoft SQL Server database, Telerik Kendo UI and Bootstrap.
Most part of baseline values found in papers were converted from original units (i.e., mg/ml, number of cells per mm2 of biopsy surface section) to unified units: “pM” for cytokine and “kcell/l” for cell concentration. Formulas for the conversion were implemented in the database.
Workflow for papers annotation was designed in such a way to provide satisfactory level of quality control. A group of annotators add information from papers to the DB and a group of reviewers verify the accuracy and completeness of the data. Cytocon DB is continuously extended with new data.
Results:
Key features implemented in CYTOCON DB:
• Search query may include both patient group attributes (age, gender, patient number, etc) and diseasespecific clinically measured characteristics (asthma – FEV1 range, dermatitis – SCORAD range, etc)
• Both table and graphic representation of search results
• Export of search results in csv format
CYTOCON DB can be applied for comparison of baseline values of cells and cytokines measured in tissues of different patient groups. For example, aggregating data from multiple sources on IL6 concentration in serum of healthy subjects and patients with diseases allows us to see the variability of the measured data. Similar analysis for
blood level of eosinophils revealed substantial differences between healthy controls and patients suffering from different immune and inflammatory diseases (Fig.1)
Conclusions:
CYTOCON DB is a database of human baseline concentrations of cytokines and cells can be applied to facilitate calibration of QSP models and to compare baseline data measured in different tissues of patients suffering from various pathologies.
Summary: CYTOCON DB is a database of human baseline concentrations of cytokines and cells can be applied to facilitate calibration of QSP models and to compare baseline data measured in different tissues of patients suffering from various pathologies.Report abuse »
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