Suppr超能文献

类风湿关节炎、骨关节炎和牙周病巨噬细胞中整合特征分子的分类:一项基于组学的研究

Classifying Integrated Signature Molecules in Macrophages of Rheumatoid Arthritis, Osteoarthritis, and Periodontal Disease: An Omics-Based Study.

作者信息

Sao Prachi, Chand Yamini, Al-Keridis Lamya Ahmed, Saeed Mohd, Alshammari Nawaf, Singh Sachidanand

机构信息

Faculty of Biotechnology, Institute of Biosciences and Technology, Shri Ramswaroop Memorial University, Barabanki 225003, Uttar Pradesh, India.

Department of Biology, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi Arabia.

出版信息

Curr Issues Mol Biol. 2022 Aug 6;44(8):3496-3517. doi: 10.3390/cimb44080241.

Abstract

Rheumatoid arthritis (RA), osteoarthritis (OA), and periodontal disease (PD) are chronic inflammatory diseases that are globally prevalent, and pose a public health concern. The search for a potential mechanism linking PD to RA and OA continues, as it could play a significant role in disease prevention and treatment. Recent studies have linked RA, OA, and PD to (PG), a periodontal bacterium, through a similar dysregulation in an inflammatory mechanism. This study aimed to identify potential gene signatures that could assist in early diagnosis as well as gain insight into the molecular mechanisms of these diseases. The expression data sets with the series IDs GSE97779, GSE123492, and GSE24897 for macrophages of RA, OA synovium, and PG stimulated macrophages (PG-SM), respectively, were retrieved and screened for differentially expressed genes (DEGs). The 72 common DEGs among RA, OA, and PG-SM were further subjected to gene-gene correlation analysis. A GeneMANIA interaction network of the 47 highly correlated DEGs comprises 53 nodes and 271 edges. Network centrality analysis identified 15 hub genes, 6 of which are DEGs (, , , , , and ). Additionally, two significantly up-regulated non-hub genes ( and ) showed interactions with hub genes. Functional enrichment analysis of the genes showed that "apoptotic regulation" and "inflammasomes" were among the major pathways. These eight genes can serve as important signatures/targets, and provide new insights into the molecular mechanism of PG-induced RA, OA, and PD.

摘要

类风湿性关节炎(RA)、骨关节炎(OA)和牙周病(PD)是全球普遍流行的慢性炎症性疾病,引起了公众对健康问题的关注。由于牙周病可能在疾病预防和治疗中发挥重要作用,因此对于将牙周病与类风湿性关节炎和骨关节炎联系起来的潜在机制的探索仍在继续。最近的研究通过炎症机制中类似的失调现象,将类风湿性关节炎、骨关节炎和牙周病与一种牙周细菌——牙龈卟啉单胞菌(PG)联系起来。本研究旨在确定有助于早期诊断的潜在基因特征,并深入了解这些疾病的分子机制。分别检索了具有系列ID GSE97779、GSE123492和GSE24897的类风湿性关节炎巨噬细胞、骨关节炎滑膜巨噬细胞和牙龈卟啉单胞菌刺激的巨噬细胞(PG - SM)的表达数据集,并筛选差异表达基因(DEG)。对类风湿性关节炎、骨关节炎和PG - SM中的72个共同DEG进一步进行基因 - 基因相关性分析。47个高度相关DEG的GeneMANIA相互作用网络包含53个节点和271条边。网络中心性分析确定了15个枢纽基因,其中6个是DEG(、、、、、和)。此外,两个显著上调的非枢纽基因(和)与枢纽基因显示出相互作用。对这些基因的功能富集分析表明,“凋亡调节”和“炎性小体”是主要途径之一。这八个基因可作为重要的特征/靶点,并为牙龈卟啉单胞菌诱导的类风湿性关节炎、骨关节炎和牙周病的分子机制提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61c9/9406916/2c22cacf9966/cimb-44-00241-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验