Myeloid dendritic cells and periodontal disease association: integrated study of single-cell sequencing and Mendelian randomization analysis

被引:0
|
作者
Shi, Chengji [1 ]
Ou, Xinyi [2 ]
Lei, Xiaoxu [1 ]
Huang, Lijuan [1 ]
Xu, Shuhao [1 ]
Li, Wei [1 ]
Zhao, Xi [1 ]
机构
[1] Peoples Hosp Deyang City, Dept Stomatol, Deyang, Sichuan, Peoples R China
[2] Southwest Med Univ, Affiliated Tradit Chinese Med Hosp, Dept Clin Lab,Key Lab Luzhou, Nanobiosensing & Microfluid Point Of Care Testing, Luzhou, Sichuan, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2025年 / 15卷
关键词
eQTL; GWAS; Mendelian randomization; myeloid dendritic cells; periodontal disease; single-cell sequencing; MONOCYTES;
D O I
10.3389/fimmu.2024.1522281
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background Periodontal disease is a widespread inflammatory condition that compromises the supporting structures of the teeth, potentially resulting in tooth loss if left untreated. Despite advancements in therapeutic interventions and an enhanced understanding of its pathophysiology, emerging techniques such as single-cell RNA sequencing (scRNA-seq) and Mendelian randomization (MR) present new opportunities for precision medicine in the management of periodontal disease.Methods Data derived from the GSE152042 dataset underwent rigorous quality control, normalization, and dimensionality reduction using Seurat and the MonacoImmuneData framework. Marker genes were identified to delineate subgroups for subsequent analysis utilizing CellChat and ClusterProfilerR. MR analysis of the expression quantitative trait loci (eQTLs) for these genes was conducted to determine causal relationships with periodontal disease, leveraging data from the IEU Open GWAS project.Results Single-cell analysis revealed distinct immune cell subtypes and indicated an increased presence of myeloid dendritic cells (mDCs) in patients with periodontal disease. MR analysis identified twenty-six significant genes, with LIMA1 (LIM domain and actin-binding 1) demonstrating a robust causal association with the progression of periodontal disease. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses highlighted crucial pathways involved in periodontal inflammation and tissue destruction. Visualization at the single-cell level elucidated the role of LIMA1 in disease progression, alongside differences in cell communication dynamics between LIMA1-positive and -negative populations.Conclusion This study underscores the utility of scRNA-seq and MR in elucidating essential factors in the pathogenesis of periodontal disease, thereby reinforcing the necessity for targeted therapeutic strategies. The identification of LIMA1 as a pivotal gene in periodontal disease progression opens new avenues for precision medicine approaches, potentially enhancing treatment efficacy and patient outcomes in periodontal management.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Association of immune cell traits with Parkinson's disease: a Mendelian randomization study
    Song, Zhiwei
    Li, Wangyu
    Han, Yupeng
    Xu, Yiya
    Ding, Haiqi
    Wang, Yinzhou
    FRONTIERS IN AGING NEUROSCIENCE, 2024, 16
  • [22] Integration of single-cell sequencing and mendelian randomization reveals novel causal pathways between monocytes and hepatocellular carcinoma
    Jiang Yu
    Jing Yu
    Zhou Kang
    Yong Peng
    Discover Oncology, 16 (1)
  • [23] Genetic association between epilepsy and gliomas: Insights from Mendelian randomization and single-cell transcriptomic analyses
    Ye, Liguo
    Xing, Hao
    Wang, Yu
    Ma, Wenbin
    EPILEPSY & BEHAVIOR, 2024, 161
  • [24] Enhancing insight into ferroptosis mechanisms in sepsis: A genomic and pharmacological approach integrating single-cell sequencing and Mendelian randomization
    Zhao, Yuanqi
    Zhou, Zijian
    Cui, Xiuyu
    Yu, Yiwei
    Yan, Ping
    Zhao, Weidong
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2024, 140
  • [25] Single-cell RNA sequencing for the study of kidney disease
    Zhu, Jiayi
    Lu, Jinrong
    Weng, Huachun
    MOLECULAR MEDICINE, 2023, 29 (01)
  • [26] Single-cell RNA sequencing for the study of kidney disease
    Jiayi Zhu
    Jinrong Lu
    Huachun Weng
    Molecular Medicine, 29
  • [27] Unraveling the Heterogeneity and Ontogeny of Dendritic Cells Using Single-Cell RNA Sequencing
    Chen, Binyao
    Zhu, Lei
    Yang, Shizhao
    Su, Wenru
    FRONTIERS IN IMMUNOLOGY, 2021, 12
  • [28] Causal association of monocytes with chronic kidney disease and the mediation role of frailty: A study integrating large-scale two-sample Mendelian randomization and single-cell analysis
    Zhang, Cong
    Deng, Jielian
    Li, Kangjie
    Lai, Guichuan
    Liu, Hui
    Zhang, Yuan
    Zeng, Haijiao
    Li, Wenlong
    Zhong, Xiaoni
    Wang, Yao
    Xie, Biao
    ARCHIVES OF GERONTOLOGY AND GERIATRICS, 2024, 123
  • [29] Myeloid Heterogeneity in Kidney Disease as Revealed through Single-Cell RNA Sequencing
    Bell, Rachel M. B.
    Denby, Laura
    KIDNEY360, 2021, 2 (11): : 1844 - 1851
  • [30] Integration of single-cell sequencing with machine learning and Mendelian randomization analysis identifies the NAP1L1 gene as a predictive biomarker for Alzheimer's disease
    Chen, Runming
    Xie, Yujun
    Chang, Ze
    Hu, Wenyue
    Han, Zhenyun
    FRONTIERS IN AGING NEUROSCIENCE, 2024, 16