Minocycline selectively inhibits M1 polarization of microglia

Kazuyoshi Kobayashi(Nagoya University), Shiro Imagama(Nagoya University), Tomohiro Ohgomori(Nagoya University), Ken‐ichi Hirano(Nagoya University), Kenji Uchimura(Nagoya University), Kazuma Sakamoto(Nagoya University), Akihiro Hirakawa(Nagoya University), Hideyuki Takeuchi(Nagoya University), Akio Suzumura(Nagoya University), Naoki Ishiguro(Nagoya University), Kenji Kadomatsu(Nagoya University)
Cell Death and Disease
March 7, 2013
Cited by 749Open Access
Full Text

Abstract

Minocycline is commonly used to inhibit microglial activation. It is widely accepted that activated microglia exert dual functions, that is, pro-inflammatory (M1) and anti-inflammatory (M2) functions. The in vivo status of activated microglia is probably on a continuum between these two extreme states. However, the mechanisms regulating microglial polarity remain elusive. Here, we addressed this question focusing on minocycline. We used SOD1(G93A) mice as a model, which exhibit the motor neuron-specific neurodegenerative disease, amyotrophic lateral sclerosis. Administration of minocycline attenuated the induction of the expression of M1 microglia markers during the progressive phase, whereas it did not affect the transient enhancement of expression of M2 microglia markers during the early pathogenesis phase. This selective inhibitory effect was confirmed using primary cultured microglia stimulated by lipopolysaccharide (LPS) or interleukin (IL)-4, which induced M1 or M2 polarization, respectively. Furthermore, minocycline inhibited the upregulation of NF-κB in the LPS-stimulated primary cultured microglia and in the spinal cord of SOD1(G93A) mice. On the other hand, IL-4 did not induce upregulation of NF-κB. This study indicates that minocycline selectively inhibits the microglia polarization to a proinflammatory state, and provides a basis for understanding pathogeneses of many diseases accompanied by microglial activation.


Related Papers

No related papers found

Powered by citation graph analysis