Suppr超能文献

瘢痕疙瘩成纤维细胞的多基因图谱揭示了炎症和免疫反应中与纤维化相关的基因改变。

The Polygenic Map of Keloid Fibroblasts Reveals Fibrosis-Associated Gene Alterations in Inflammation and Immune Responses.

机构信息

Department of Dermatology, The Affiliated Qingdao Municipal Hospital of Qingdao University, Qingdao, China.

Department of Dermatology, Qilu Hospital, Shandong University, Jinan, China.

出版信息

Front Immunol. 2022 Jan 10;12:810290. doi: 10.3389/fimmu.2021.810290. eCollection 2021.

Abstract

Due to many inconsistencies in differentially expressed genes (DEGs) related to genomic expression changes during keloid formation and a lack of satisfactory prevention and treatment methods for this disease, the critical biomarkers related to inflammation and the immune response affecting keloid formation should be systematically clarified. Normal skin/keloid scar tissue-derived fibroblast genome expression data sets were obtained from the Gene Expression Omnibus (GEO) and ArrayExpress databases. Hub genes have a high degree of connectivity and gene function aggregation in the integration network. The hub DEGs were screened by gene-related protein-protein interactions (PPIs), and their biological processes and signaling pathways were annotated to identify critical biomarkers. Finally, eighty-one hub DEGs were selected for further analysis, and some noteworthy signaling pathways and genes were found to be closely related to keloid fibrosis. For example, IL17RA is involved in IL-17 signal transduction, TIMP2 and MMP14 activate extracellular matrix metalloproteinases, and TNC, ITGB2, and ITGA4 interact with cell surface integrins. Furthermore, changes in local immune cell activity in keloid tissue were detected by DEG expression, immune cell infiltration, and mass CyTOF analyses. The results showed that CD4+ T cells, CD8+ T cells and NK cells were abnormal in keloid tissue compared with normal skin tissue. These findings not only support the key roles of fibrosis-related pathways, immune cells and critical genes in the pathogenesis of keloids but also expand our understanding of targets that may be useful for the treatment of fibrotic diseases.

摘要

由于在瘢痕疙瘩形成过程中与基因组表达变化相关的差异表达基因(DEGs)存在许多不一致之处,并且这种疾病缺乏令人满意的预防和治疗方法,因此应该系统地阐明与炎症和免疫反应相关的关键生物标志物,这些生物标志物会影响瘢痕疙瘩的形成。正常皮肤/瘢痕疙瘩组织衍生的成纤维细胞基因组表达数据集从基因表达综合数据库(GEO)和 ArrayExpress 数据库中获得。整合网络中枢纽基因具有高度的连接性和基因功能聚集性。通过基因相关的蛋白质-蛋白质相互作用(PPIs)筛选枢纽 DEGs,并对其生物学过程和信号通路进行注释,以确定关键的生物标志物。最后,选择了 81 个枢纽 DEGs 进行进一步分析,发现了一些值得注意的信号通路和基因与瘢痕疙瘩纤维化密切相关。例如,IL17RA 参与 IL-17 信号转导,TIMP2 和 MMP14 激活细胞外基质金属蛋白酶,TNC、ITGB2 和 ITGA4 与细胞表面整合素相互作用。此外,通过 DEG 表达、免疫细胞浸润和大规模 CyTOF 分析检测到瘢痕疙瘩组织中局部免疫细胞活性的变化。结果表明,与正常皮肤组织相比,瘢痕疙瘩组织中的 CD4+T 细胞、CD8+T 细胞和 NK 细胞异常。这些发现不仅支持纤维化相关途径、免疫细胞和关键基因在瘢痕疙瘩发病机制中的关键作用,还扩展了我们对可能有助于治疗纤维化疾病的靶点的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c982/8785650/2c1b7437fff1/fimmu-12-810290-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