Microfluidic Modeling of Macrophage-Induced Cardiac Inflammation Using NF-κB Reporter Cardiomyocytes
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Insights
Inflammation drives heart disease. This study developed a cardiac inflammation model to investigate macrophage-cardiomyocyte interactions, revealing key signaling thresholds and effective anti-inflammatory treatments for heart conditions.
Area of Science:
- Cardiovascular Biology
- Immunology
- Biomedical Engineering
Background:
- Inflammation, particularly macrophage-cardiomyocyte interactions, is central to cardiac disease progression.
- Understanding the spatial and temporal dynamics of this crosstalk is crucial for developing targeted therapies.
Purpose of the Study:
- To develop and validate an in vitro cardiac inflammation model for studying macrophage-cardiomyocyte crosstalk.
- To investigate the spatiotemporal dynamics of inflammatory signaling in cardiomyocytes.
Main Methods:
- Developed an in vitro model using cardiomyocytes with an NF-κB-responsive fluorescent reporter.
- Employed MATLAB simulations to optimize experimental conditions (TNFα diffusion).
- Utilized a multiplex microfluidic co-culture chip for controlled experiments.
Main Results:
- Identified a TNFα threshold (50 ng/mL for 6h) sufficient to activate cardiomyocyte NF-κB signaling.
- Demonstrated that macrophage-conditioned medium and direct co-culture enhance cardiomyocyte inflammatory stress.
- Found dexamethasone effectively suppressed NF-κB activation, while IL-10 showed limited efficacy.
Conclusions:
- The developed cardiac inflammation model is a versatile platform for dissecting immune-cardiac crosstalk.
- This model supports future studies on multicellular signaling dynamics and therapeutic screening for heart diseases.
Abstract:
Inflammation is a key driver of cardiac disease progression, including heart failure and myocardial infarction, with macrophage-cardiomyocyte interactions playing a central role in shaping the local inflammatory microenvironment. Prolonged exposure to pro-inflammatory cytokines, many produced by macrophages, induces cardiomyocyte stress, dysfunction, and pathological tissue remodeling. However, the spatial and temporal dynamics of this crosstalk remain poorly understood, limiting the development of targeted therapies. To address this gap, we developed an in vitro cardiac inflammation model that enables controlled investigation of macrophage-cardiomyocyte interactions. Cardiomyocytes were transduced with an NF-κB-responsive fluorescent reporter to allow real-time monitoring of inflammatory signaling. MATLAB-based simulations were used to optimize medium delivery and cell densities by modeling TNFα diffusion. Using a multiplex microfluidic co-culture chip, we identified the TNFα threshold of 50 ng mL- 1 with a 6-h exposure as sufficient to activate cardiomyocyte NF-κB signaling. Both macrophage-conditioned medium and direct co-culture significantly increased NF-κB activation, indicating enhanced cardiomyocyte inflammatory stress. Dexamethasone markedly suppressed NF-κB activation when administered at onset of co-culture to both cell types, whereas IL-10 showed limited efficacy. Overall, this cardiac inflammation model provides a versatile platform for dissecting immune-cardiac crosstalk and supports future studies of multicellular crosstalk, spatiotemporal signaling dynamics, and therapeutic screening.


