| Literature DB >> 33193393 |
Hong Lei1, Yi Pan2, Rongqian Wu1, Yi Lv1,3.
Abstract
With the wide applications of magnetic fields (MFs) in medicine, researchers from different disciplines have gained interest in understanding the effect of various types of MFs on living cells and organisms. In this paper, we mainly focus on the immunological and physical aspects of the immune responses and their mechanisms under different types of MFs. Immune cells were slightly affected by low-frequency alternating MFs but were strongly influenced by moderate-intensity MFs and high-gradient MFs (HGMFs). Larger immune cells, such as macrophages, were more sensitive to HGMFs, which biased the cell polarization into the anti-inflammatory M2 phenotype. Subject to the gradient forces of varying directions and strength, the elongated M2 macrophage also remodeled the cytoskeleton with actin polymerization and changed the membrane receptors and ion channel gating. These alterations were very similar to changes caused by the small GTPase RhoA interference in macrophage. Regulation of iron metabolism may also contribute to the MF effects in macrophages. High MFs were found to regulate the iron content in monocyte-/macrophage-derived osteoclasts by affecting the expression of iron-regulation genes. On the other hand, paramagnetic nanoparticles (NPs) combined with external MFs play an important role in T-cell immunity. Paramagnetic NP-coated T-cells can cluster their T-cell receptors (TCRs) by using an external MF, thus increasing the cell-cell contact and communication followed by enhanced tumor killing capacity. The external MF can also guide the adoptively transferred magnetic NP-coated T-cells to their target sites in vivo, thus dramatically increasing the efficiency of cell therapy. Additionally, iron oxide NPs for ferroptosis-based cancer therapy and other MF-related therapeutic applications with obstacles were also addressed. Furthermore, for a profound understanding of the effect of MFs on immune cells, multidisciplinary research involving both experimental research and theoretical modeling is essential.Entities:
Keywords: immune regulation; iron metabolism; macrophages polarization; magnetic fields; paramagnetic nanoparticles
Year: 2020 PMID: 33193393 PMCID: PMC7649827 DOI: 10.3389/fimmu.2020.582772
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Schematic representation of the types of MFs and their effect on living cells. (A) An SMF is created by a magnet or a coil with steady current, and the intensity of an AMF is time-varying. “t” represents time, and “B” represents the intensity of the MF. (B) The high MF created by a Helmholtz coil (dark) is shown. The homogeneous MF region is located in the center, and HGMF is located in the off-center region at both sides. The small bar magnet receives a gradient net force with a stronger force at the side near Helmholtz coil. (C) The cell components, such as mitochondria, chromatin, and DNA, could be affected by strong homogenous MFs. (D) Living cells, especially with large size, get stronger mechanical forces in HGMFs. Within the macrophage, different cell components are subject to gradient forces of varying directions and strength; thus, the cells would reshape to adapt to the force and eventually end up balanced but distorted.
Effects of MFs on immune cells.
| Immune cells | MFs | Effects | |
|---|---|---|---|
| Innate Immune Cells | Monocytes | 6mT SMF | Mitochondria localized near nucleus; |
| Macrophages | LF-MF | IL-1β, IL-2, IL-6, TNF-α, NO, ROS↑ | |
| Constant MF (60 μT) + alternating MF (100 nT) | TNF-α, IFN-γ ↑ in mice ( | ||
| Space MF (around 0.5μT) | Iron in RAW264.7 MΦ↑ ROS↑ ( | ||
| Superparamagnetic scaffold in SMF | MΦ in superparamagnetic scaffolds → M2 Φ | ||
| 0.6T SMF | M2 polarization, wound closure, re-epithelialization, revascularization ↑ in diabetic mice ( | ||
| HGMF (108-109 m−1) | M2 polarization (anti-inflammatory effects); | ||
| DCs | Superparamagnetic iron oxide + MF | BM-DC maturation↑; | |
| Granulocytes | electromagnetic radiation (4 - 4.34 GHz, 16 min, human blood samples) | Number of viable neutrophils ↓ | |
| Gradient SMF (max: 60 mT, exposure time 15, 30, 45 min, human blood samples) | ROS metabolic oscillations affected, depending on the exposure time and orientations of MF ( | ||
| MDSCs | magnetic nanoparticles | Repolarization from immunosuppressive phenotype to a pro-inflammatory phenotype for glioma treatment ( | |
| NK cells | 0.4T SMF | Improve the killing activity of the NK cells ( | |
| Adaptive Immune Cells | T-cells | SMF+ power frequency MF | 23.4μT SMF no influence on Ca2+; |
| low-frequency AMF | No influence on T cells in rats (1 h/day, 14 days) ( | ||
| EMF (50 Hz, 100 μT, 60 days in rats) (with human serum albumin stimulation) | Splenic and thymic T-bet and GATA-3↑ | ||
| Constant MF (60 μT) + alternating MF (100 nT) | TNF-α, IFN-γ ↑ in mice ( | ||
| MF + Iron-dextran nanoparticles | TCR clustering, T-cell activity, tumor killing ability ↑ ( | ||
| B-cells | Radiofrequency EMF | No differences on B-cells differentiation and antibody production in mice ( | |
SMF, static magnetic field; AMF, alternating magnetic fields; EMF, electromagnetic field; MDSCs, Myeloid-derived Suppressor Cells; NK cells, natural killer cells.
Figure 2Molecular response of immune cells to the strength and frequency of the MF. (A) Macrophages are activated into the M1 phenotype by a low-frequency AMF and to the M2 phenotype upon exposure to a moderate-intensity MF or HGMF. The magnetic gradient force could cluster the cation channel receptor TRPM2 to disrupt the Ca2+ homeostasis; then the ion current-dependent actin polymerization is also affected, and the cell was reshaped subsequently. Vinculin, mitochondrial axis, and Golgi complex were also affected such that the Golgi complex in macrophages dispersed upon MF exposure. MF may also affect the nuclear actin in macrophage, that switched on the expression of some M2 macrophage-specific genes, such as Arg-1. (B) T-cell activation was largely increased under excess MF through accelerated TCR clustering when the cells were co-cultured with paramagnetic nano artificial antigen-presenting cells. Increased TCR clustering leads to enhanced downstream signaling, T-cell activation, and tumor killing capacity.
Figure 3The effect of MFs on iron metabolism in macrophages and OCs. (A) Iron metabolism is tightly regulated in macrophages by the iron exporters, transferrin receptor 1 (TfR1, for iron uptake) and ferroportin-1 (FPN1, for iron release). In addition to iron utilization, the leftover cellular Fe3+ is stored in ferritin. Iron overload induced M1 polarization by increasing ROS production. On the other hand, accumulation of iron could cause the increased lipid ROS and ferroptosis, and GPX4 can inhibit the ferroptosis. (B) High SMFs can decrease the cellular iron content by reducing the expression of TfR1 and ferritin, thereby inhibiting the OC formation and resorption ability during the OC differentiation process. Mitochondrial concentration and ROS levels in OCs were also decreased under high SMF. (C) Strategies of the iron-based NPs for ferroptosis-based cancer therapy is shown in a cancer cell. Dissolution of iron oxide NPs can increase the cellular iron content and the following Fenton reaction-mediated ferroptosis-like cell death. Adapted from Wang et al. (54).