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

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: We isolated peripheral blood mononuclear cells (PBMCs) and so...

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Autores principales: Li, Zhibin, Peng, Yuyao, Li, Yi, Zhou, Ran, Chen, Di, Jin, Wanlin, Xu, Qiu, Xu, Liqun, Luo, Zhaohui, Yang, Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290526/
https://www.ncbi.nlm.nih.gov/pubmed/32566604
http://dx.doi.org/10.21037/atm-20-918
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author Li, Zhibin
Peng, Yuyao
Li, Yi
Zhou, Ran
Chen, Di
Jin, Wanlin
Xu, Qiu
Xu, Liqun
Luo, Zhaohui
Yang, Huan
author_facet Li, Zhibin
Peng, Yuyao
Li, Yi
Zhou, Ran
Chen, Di
Jin, Wanlin
Xu, Qiu
Xu, Liqun
Luo, Zhaohui
Yang, Huan
author_sort Li, Zhibin
collection PubMed
description 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: We isolated peripheral blood mononuclear cells (PBMCs) and sorted CD19(+)B cells, dendritic cells (DCs), CD4(+) T cells, CD8(+) T cells, CD4(+)CD25(+) regulatory T cells (Tregs), CD4(+)CD25(−)T cells, and T helper (Th) cells such as Th1, Th2, and Th17 cells. Then, we detected the expression levels of PI3K/AKT/mTOR-HIF-1α, GLUT1, hexokinase (HK), phosphofructokinase (PFK), and pyruvate kinase (PK) by RT-PCR, measured the oxygen consumption rate and extracellular acidification rate of ex vivo freshly sorted cells using the Seahorse XF(e)96 Analyzer. In addition, we compared the glycolysis levels using these cells from the same MG patients. By performing in vitro 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 PBMCs, Th2 and CD8(+) T cells, the expression levels of the key enzymes involved in glycolysis and HIF-1α were significantly higher in B cells, DCs, Tregs, CD4(+)CD25(−)T cells, and Th1 and Th17 cells in MG patients, and the measurement of ECAR and OCR confirmed the metabolic status. In MG patients, B cells and DCs showed significantly higher levels of glycolysis and glycolytic capacity than CD8(+) T cells, CD4(+) T cells and its subsets. In vitro, 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.
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spelling pubmed-72905262020-06-19 Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients Li, Zhibin Peng, Yuyao Li, Yi Zhou, Ran Chen, Di Jin, Wanlin Xu, Qiu Xu, Liqun Luo, Zhaohui Yang, Huan Ann Transl Med Original Article 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: We isolated peripheral blood mononuclear cells (PBMCs) and sorted CD19(+)B cells, dendritic cells (DCs), CD4(+) T cells, CD8(+) T cells, CD4(+)CD25(+) regulatory T cells (Tregs), CD4(+)CD25(−)T cells, and T helper (Th) cells such as Th1, Th2, and Th17 cells. Then, we detected the expression levels of PI3K/AKT/mTOR-HIF-1α, GLUT1, hexokinase (HK), phosphofructokinase (PFK), and pyruvate kinase (PK) by RT-PCR, measured the oxygen consumption rate and extracellular acidification rate of ex vivo freshly sorted cells using the Seahorse XF(e)96 Analyzer. In addition, we compared the glycolysis levels using these cells from the same MG patients. By performing in vitro 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 PBMCs, Th2 and CD8(+) T cells, the expression levels of the key enzymes involved in glycolysis and HIF-1α were significantly higher in B cells, DCs, Tregs, CD4(+)CD25(−)T cells, and Th1 and Th17 cells in MG patients, and the measurement of ECAR and OCR confirmed the metabolic status. In MG patients, B cells and DCs showed significantly higher levels of glycolysis and glycolytic capacity than CD8(+) T cells, CD4(+) T cells and its subsets. In vitro, 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. AME Publishing Company 2020-05 /pmc/articles/PMC7290526/ /pubmed/32566604 http://dx.doi.org/10.21037/atm-20-918 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Li, Zhibin
Peng, Yuyao
Li, Yi
Zhou, Ran
Chen, Di
Jin, Wanlin
Xu, Qiu
Xu, Liqun
Luo, Zhaohui
Yang, Huan
Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients
title Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients
title_full Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients
title_fullStr Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients
title_full_unstemmed Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients
title_short Glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients
title_sort glucose metabolism pattern of peripheral blood immune cells in myasthenia gravis patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290526/
https://www.ncbi.nlm.nih.gov/pubmed/32566604
http://dx.doi.org/10.21037/atm-20-918
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