Quantitative systems pharmacology model of B cell immune response in mouse

B cell-mediated immunity plays a crucial role in long-term humoral protection. However, dysregulation of B cell development and differentiation may lead to the persistence of autoreactive clones, contributing to autoimmune diseases. Despite a number of therapeutic agents in preclinical and clinical development targeting B cell biology, several challenges still limit their successful translation into clinical use. To better understand B cell-targeting mechanisms of action quantitatively and mechanistically, we developed an integrative systems pharmacology model that describes T cell-dependent B cell response to antigen exposure in mouse. The model includes 20 ordinary differential equations representing key biological processes involved in the B lymphocyte response: B cell activation in secondary lymphoid organs; antibody-secreting cell (ASC) generation; migration to the bone marrow; and redistribution to peripheral tissues. The model adequately described ASC dynamics across tissues and IgG time profiles in plasma. Local and global sensitivity analyses identified the ASC production rate as the main contributor to cell counts in the spleen and in lymph nodes, while ASC levels in the bone marrow were primarily controlled by their influx rate, reflecting survival niche availability. Moderate variations of this influx rate parameter allowed the model to capture high inter-study variability in bone marrow ASC levels, explaining the observed heterogeneity in the functional immune response. The model can be further used as a quantitative tool to study B cell responses and their dysregulation in autoimmunity. It can be extended by integrating plasma-cell biology and autoantibody production, ultimately supporting the development of new therapeutic strategies for autoimmune diseases.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2026-04-30
DOI
https://doi.org/10.3389/fimmu.2026.1745710
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative systems pharmacology model of B cell immune response in mouse

Alina Volkova, Yaroslav Ugolkov
Frontiers in Immunology
T-cell and B-cell Immunology
article

Quantitative systems pharmacology model of B cell immune response in mouse

Alina Volkova, Yaroslav Ugolkov
article en

Abstract

B cell-mediated immunity plays a crucial role in long-term humoral protection. However, dysregulation of B cell development and differentiation may lead to the persistence of autoreactive clones, contributing to autoimmune diseases. Despite a number of therapeutic agents in preclinical and clinical development targeting B cell biology, several challenges still limit their successful translation into clinical use. To better understand B cell-targeting mechanisms of action quantitatively and mechanistically, we developed an integrative systems pharmacology model that describes T cell-dependent B cell response to antigen exposure in mouse. The model includes 20 ordinary differential equations representing key biological processes involved in the B lymphocyte response: B cell activation in secondary lymphoid organs; antibody-secreting cell (ASC) generation; migration to the bone marrow; and redistribution to peripheral tissues. The model adequately described ASC dynamics across tissues and IgG time profiles in plasma. Local and global sensitivity analyses identified the ASC production rate as the main contributor to cell counts in the spleen and in lymph nodes, while ASC levels in the bone marrow were primarily controlled by their influx rate, reflecting survival niche availability. Moderate variations of this influx rate parameter allowed the model to capture high inter-study variability in bone marrow ASC levels, explaining the observed heterogeneity in the functional immune response. The model can be further used as a quantitative tool to study B cell responses and their dysregulation in autoimmunity. It can be extended by integrating plasma-cell biology and autoantibody production, ultimately supporting the development of new therapeutic strategies for autoimmune diseases.

Frontiers in ImmunologyVol. 17
Sechenov University (RU), Lomonosov Moscow State University (RU), Institute of Numerical Mathematics (RU), Quantitative BioSciences (US), Health Decisions (United States) (US)
Openalex Percentile: Top 13%
T-cell and B-cell Immunology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.