Related Experiment Video
Updated: Jun 27, 2026

08:37
Reprograming Model of Human Monocyte-derived Macrophages for In-vitro Assays
Published on: April 18, 2025
Macrophage Plasticity: Phenotypic and Functional Profiles Across Pathological Microenvironments
1Laboratory Medicine Unit, Integrated Diagnostic Services-DIDAS, Padua University Hospital, 35128 Padua, Italy.
International Journal of Molecular Sciences
|June 26, 2026
Summary
Macrophages are plastic immune cells adapting to their environment, not fixed M1/M2 types. Understanding their context-dependent roles is key for treating diverse diseases like cancer and autoimmunity.
Area of Science:
- Immunology
- Cell Biology
- Pathology
Background:
- Macrophages are innate immune cells with high plasticity.
- They adopt context-dependent phenotypes influenced by origin and microenvironment, moving beyond discrete M1/M2 states.
- This plasticity is crucial in various diseases.
Purpose of the Study:
- To review molecular mechanisms shaping macrophage identity.
- To explore macrophage plasticity across a spectrum of diseases.
- To discuss emerging biomarkers and therapeutic strategies.
Main Methods:
- Review of molecular circuits including TLR/cytokine signaling, microRNA networks, metabolic rewiring, and epigenetic mechanisms like histone lactylation.
- Analysis of monocyte subset contributions to tissue macrophage diversity.
- Examination of high-dimensional flow cytometry and mass cytometry (CyTOF) for integrated phenotyping.
Main Results:
- Macrophage pathogenic phenotypes are context-dependent (e.g., M2-like TAMs in cancer vs. M1 in autoimmunity).
- Soluble markers (sCD163, sCD14, soluble mannose receptor) show potential as disease biomarkers.
- Advanced cytometry techniques enable comprehensive analysis of macrophage states.
Conclusions:
- Macrophage plasticity is a central theme in disease pathogenesis and progression.
- Targeting macrophage phenotypes offers promising therapeutic avenues, including TAM reprogramming and CAR-M cells.
- Future research should focus on spatially resolved multi-omics, epigenetic/metabolic targeting, and standardized cytometry for personalized interventions.

