Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients

Zhibin Li, Yuyao Peng, Yi Li, Ran Zhou, Di Chen, Wanlin Jin, Qiu Xu, Liqun Xu, Zhaohui Luo, Huan Yang

Annals of Translational Medicine · 2020 · 16 citations · 39 references

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Abstract

BACKGROUND: We investigated the correlation between glucose metabolism patterns of different immune cells and the metabolic regulatory signaling pathways in myasthenia gravis (MG) and aimed to identify therapeutic targets for MG. METHODS: experiments, we measured, the mRNA expression levels of mTOR, HIF-1α, B cell activating factor receptor (BAFF-R), GLUT1, HK, PFK, and PK, in addition to ECAR profiles, frequency of CD80 and CD86, and IgG levels from the culture supernatant of B cells (isolated from MG patients) treated with rapamycin and PX-478 (selective mTOR and HIF-1α inhibitor, respectively) from. RESULTS: , except IgG levels, the increased glycolysis levels, expression of key glycolytic enzymes, BAFF-R and frequency of CD80 and CD86 of B cells, could be inhibited by rapamycin and PX-478. CONCLUSIONS: Different subtypes of immune cells in MG exhibit different glucose metabolism patterns. The mTOR-HIF-1α signaling pathway might be the immunometabolism reprogramming checkpoint of glycolysis-dependent activated B cells in MG.

References

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