Suppr超能文献

猫慢性龈口炎的转录组特征受白细胞介素6上调的影响。

Transcriptomic signatures of feline chronic gingivostomatitis are influenced by upregulated IL6.

作者信息

Peralta Santiago, Grenier Jennifer K, Webb Suzin M, Miller Andrew D, Miranda Ileana C, Parker John S L

机构信息

Cornell University.

Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, The Rockefeller University.

出版信息

Res Sq. 2023 May 3:rs.3.rs-2852140. doi: 10.21203/rs.3.rs-2852140/v1.

Abstract

Feline chronic gingivostomatitis (FCGS) is a relatively common and debilitating disease characterized by bilateral inflammation and ulceration of the caudal oral mucosa, alveolar and buccal mucosa, and varying degrees of periodontal disease. The etiopathogenesis of FCGS remains unresolved. In this study, we performed bulk RNA-seq molecular profiling of affected tissues derived from a cohort of client-owned cats with FCGS compared to tissues from unaffected animals, to identify candidate genes and pathways that can help guide future exploration of novel clinical solutions. We complemented transcriptomic findings with immunohistochemistry and hybridization assays to better understand the biological significance of the results and performed RNA-seq validation of selected differentially expressed genes using qPCR assays to demonstrate technical reproducibility. Transcriptomic profiles of oral mucosal tissues in cats with FCGS are enriched with immune- and inflammation-related genes and pathways that appear to be largely influenced by , and include NFKB, JAK/STAT, IL-17 and IFN type I and II signaling, offering new opportunities to develop novel clinical applications based on a more rational understanding of the disease.

摘要

猫慢性龈口炎(FCGS)是一种相对常见且使人衰弱的疾病,其特征为口腔尾部黏膜、牙槽和颊黏膜的双侧炎症与溃疡,以及不同程度的牙周疾病。FCGS的病因发病机制仍未明确。在本研究中,我们对一组患有FCGS的客户拥有的猫的患病组织与未受影响动物的组织进行了大量RNA测序分子分析,以识别有助于指导未来新型临床解决方案探索的候选基因和途径。我们通过免疫组织化学和杂交试验对转录组学结果进行补充,以更好地理解结果的生物学意义,并使用qPCR试验对选定的差异表达基因进行RNA测序验证,以证明技术可重复性。患有FCGS的猫口腔黏膜组织的转录组图谱富含免疫和炎症相关基因及途径,这些似乎在很大程度上受 影响,包括NFKB、JAK/STAT、IL-17以及I型和II型干扰素信号传导,这为基于对该疾病更合理的理解开发新型临床应用提供了新机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f48a/10187381/a74048059a09/nihpp-rs2852140v1-f0001.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