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Single-cell RNA sequencing reveals the dysfunctional characteristics of PBMCs in patients with type 2 diabetes mellitus.

作者信息

Zhao Jindong, Fang Zhaohui

机构信息

Department of Endocrinology Two, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.

Center for Xin'an Medicine and Modernization of Traditional Chinese Medicine of IHM, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.

出版信息

Front Immunol. 2025 Jan 23;15:1501660. doi: 10.3389/fimmu.2024.1501660. eCollection 2024.


DOI:10.3389/fimmu.2024.1501660
PMID:39916961
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11798774/
Abstract

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a disease that involves autoimmunity. However, how immune cells function in the peripheral blood remains unclear. Exploring T2DM biomarkers via single-cell RNA sequencing (scRNA-seq) could provide new insights into the underlying molecular mechanisms. METHODS: The clinical trial registration number is ChiCTR2100049613. In this study, we included three healthy participants and three T2DM patients. The observed clinical indicators included weight and fasting blood glucose (FBG), glycosylated haemoglobin A1c (HbA1c) and fasting insulin levels. Direct separation and purification of peripheral blood mononuclear cells (PBMCs) were performed via the Ficoll density gradient centrifugation method. Immune cell types were identified via scRNA-seq. The differentially expressed genes, biological functions, cell cycle dynamics, and correlations between blood glucose indicators and genes in different cell types were analysed. RESULTS: There were differences between the healthy and T2DM groups in terms of FBG and HbA1c (p<0.05 or p<0.01). We profiled 13,591 cells and 3188 marker genes from PBMCs. B cells, T cells, monocytes, and NK cells were grouped into 4 subclusters from PBMCs. CD4+ T cells are mainly in the memory activation stage, and CD8+ T cells are effectors. Monocytes include mainly CD14+ monocytes and FCGR3A+ monocytes. There were 119 differentially expressed genes in T cells and 175 differentially expressed genes in monocytes. Gene set enrichment analysis revealed that the marker genes were enriched in HALLMARK_ INTERFERON_GAMMA_RESPONSE and HALLMARK_TNFA_SIGNALING_VIA_ NFKB. Moreover, TNFRSF1A was identified as the core gene involved in network interactions in T cells. DISCUSSION: Our study provides a transcriptional map of immune cells from PBMCs and provides a framework for understanding the immune status and potential immune mechanisms of T2DM patients via scRNA-seq. CLINICAL TRIAL REGISTRATION: http://www.chictr.org.cn, identifier ChiCTR2100049613.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/361a767879f0/fimmu-15-1501660-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/0736e7c284a7/fimmu-15-1501660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/a2b216274326/fimmu-15-1501660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/043386747332/fimmu-15-1501660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/166e63b67eaf/fimmu-15-1501660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/1e15e40ddee0/fimmu-15-1501660-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/fd9a4f2e3f3a/fimmu-15-1501660-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/ce2e43a05284/fimmu-15-1501660-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/c1539b131fbb/fimmu-15-1501660-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/597cafbd760d/fimmu-15-1501660-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/361a767879f0/fimmu-15-1501660-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/0736e7c284a7/fimmu-15-1501660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/a2b216274326/fimmu-15-1501660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/043386747332/fimmu-15-1501660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/166e63b67eaf/fimmu-15-1501660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/1e15e40ddee0/fimmu-15-1501660-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/fd9a4f2e3f3a/fimmu-15-1501660-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/ce2e43a05284/fimmu-15-1501660-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/c1539b131fbb/fimmu-15-1501660-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/597cafbd760d/fimmu-15-1501660-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/851a/11798774/361a767879f0/fimmu-15-1501660-g010.jpg

相似文献

[1]
Single-cell RNA sequencing reveals the dysfunctional characteristics of PBMCs in patients with type 2 diabetes mellitus.

Front Immunol. 2025-1-23

[2]
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[3]
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本文引用的文献

[1]
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[2]
Immunological link between periodontitis and type 2 diabetes deciphered by single-cell RNA analysis.

Clin Transl Med. 2023-12

[3]
Quantitative Proteomics Characterization of the Effect and Mechanism of Trichostatin A on the Hippocampus of Type II Diabetic Mice.

Cell Mol Neurobiol. 2023-11

[4]
An Integrated Map of Cell Type-Specific Gene Expression in Pancreatic Islets.

Diabetes. 2023-11-1

[5]
Age-related Differences in T-cell Subsets and Markers of Subclinical Inflammation in Aging Are Independently Associated With Type 2 Diabetes in the Health and Retirement Study.

Can J Diabetes. 2023-10

[6]
Proteomics and transcriptomics explore the effect of mixture of herbal extract on diabetic wound healing process.

Phytomedicine. 2023-7-25

[7]
Bulk and single-cell transcriptome analyses of islet tissue unravel gene signatures associated with pyroptosis and immune infiltration in type 2 diabetes.

Front Endocrinol (Lausanne). 2023

[8]
The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits.

Cell Metab. 2023-4-4

[9]
Metformin, Empagliflozin, and Their Combination Modulate Ex-Vivo Macrophage Inflammatory Gene Expression.

Int J Mol Sci. 2023-3-1

[10]
Oxidative Stress Response Biomarkers of Ovarian Cancer Based on Single-Cell and Bulk RNA Sequencing.

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