Quantitative Systems Pharmacology Model of B Cell Immune Response in Mouse

A 2026 integrative systems pharmacology model by Yaroslav Ugolkov describes T cell-dependent B cell response to antigen exposure in mouse. The model includes 20 ordinary differential equations representing key biological processes like B cell activation, antibody-secreting cell generation, and migration. It can be used as a quantitative tool to study B cell responses and their dysregulation in autoimmunity.

Use Cases

• Simulating antibody-secreting cell dynamics across tissues based on the described ODE model.
• Studying the impact of ASC production and influx rates on immune response heterogeneity based on sensitivity analyses.
• Investigating B cell-targeting mechanisms of action for autoimmune diseases based on the model's quantitative framework.
• Extending the model to integrate plasma-cell biology and autoantibody production for therapeutic strategy development.

Strengths

• Model is described by 20 ordinary differential equations representing key biological processes.
• Model validation includes describing ASC dynamics across tissues and IgG time profiles in plasma.
• Sensitivity analyses identified specific parameters (ASC production rate, influx rate) controlling cell counts in different tissues.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data format is a 1.2 MB PDF, which may require extraction of underlying data or model parameters.

Provenance

Source

figshare

Collection Method

Computational modeling based on biological processes described in the summary.

Freshness

Last updated 2026-04-30 05:40:32; freshness should be verified.