Semantic Scholar Open Access 2021 185 sitasi

Microglia reprogram metabolic profiles for phenotype and function changes in central nervous system.

Sheng Yang C. Qin Zi-Wei Hu Luo-Qi Zhou H. Yu +5 lainnya

Abstrak

In response to various types of environmental and cellular stress, microglia rapidly activate and exhibit either pro- or anti-inflammatory phenotypes to maintain tissue homeostasis. Activation of microglia can result in changes in morphology, phagocytosis capacity, and secretion of cytokines. Furthermore, microglial activation also induces changes to cellular energy demand, which is dependent on the metabolism of various metabolic substrates including glucose, fatty acids, and amino acids. Accumulating evidence demonstrates metabolic reprogramming acts as a key driver of microglial immune response. For instance, microglia in pro-inflammatory states preferentially use glycolysis for energy production, whereas, cells in anti-inflammatory states are mainly powered by oxidative phosphorylation and fatty acid oxidation. In this review, we summarize recent findings regarding microglial metabolic pathways under physiological and pathological circumstances. We will then discuss how metabolic reprogramming can orchestrate microglial response to a variety of central nervous system pathologies. Finally, we highlight how manipulating metabolic pathways can reprogram microglia towards beneficial functions, and illustrate the therapeutic potential for inflammation-related neurological diseases.

Topik & Kata Kunci

Penulis (10)

S

Sheng Yang

C

C. Qin

Z

Zi-Wei Hu

L

Luo-Qi Zhou

H

H. Yu

M

Man Chen

D

D. Bosco

W

Wei Wang

L

Long-Jun Wu

D

Daishi Tian

Format Sitasi

Yang, S., Qin, C., Hu, Z., Zhou, L., Yu, H., Chen, M. et al. (2021). Microglia reprogram metabolic profiles for phenotype and function changes in central nervous system.. https://doi.org/10.1016/j.nbd.2021.105290

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.nbd.2021.105290
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
185×
Sumber Database
Semantic Scholar
DOI
10.1016/j.nbd.2021.105290
Akses
Open Access ✓