Single-cell RNA sequencing of peripheral blood mononuclear cells reveals complex cellular signalling signatures of metformin treatment type 2 diabetes mellitus

Author:

Zhao Jin-DongORCID,Fang Zhao-Hui

Abstract

ABSTRACTObjectiveType 2 diabetes mellitus (T2DM) is a complex polygenic disease. The onset of the disease is related to autoimmunity. However, how immune cells function in the peripheral blood remains to be elucidated. Metformin is the first-line treatment. Exploring biomarkers of T2DM based on single-cell sequencing technology can provide new insights for the discovery of metformin treatment T2DM in molecular mechanisms.MethodsWe profiled 43,971 cells and 20,228 genes from peripheral blood mononuclear cells (PBMCs) of T2DM patients and healthy controls by single-nucleotide RNA sequencing.ResultsB cells, T cells, monocytes/macrophages, platelets, neutrophils, NK cells and cDC2s were grouped into 7 subclusters. Furthermore, T cells and monocytes/macrophages might be significantly correlated with the clinical characteristics of T2DM patients. RPL27 and AC018755.4 expression were strongly negative correlated with HbA1c. CD4+ T cells are mainly in the memory activation stage, and CD8+ T cells are effectors. The 50 genes whose expression varied with developmental time were associated with cytoplasmic translation, cell‒cell adhesion mediated by integrin, and the regulation of the inflammatory response. Monocytes/macrophages include classic monocytes and nonclassical monocytes. The GSEA results showed that the marker genes were enriched in the HALLMARK_INTERFERON_GAMMA_RESPONSE and HALLMARK_TNFA_SIGNALING_VIA_NFKB. The WGCNA results showed 14 modules. Meanwhile, TNFRSF1A is the most core genes in network interaction. Further analysis revealed ligand‒receptor pairs, including MIF-(CD74 + CD44), MIF-(CD74 + CXCR4), ANXA1-FPR1 and LGALS9-CD45.ConclusionsOur study revealed that the transcriptional map of immune cells from PBMCs provided a framework for understanding the immune status of T2DM patients with metformin treatment via scRNA-seq analysis.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3