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猫慢性龈口炎的转录组特征受上调的 IL6 影响。

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

机构信息

Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.

Clinical Programs Center, College of Veterinary Medicine, Cornell University, Box 31, Ithaca, NY, 14853, USA.

出版信息

Sci Rep. 2023 Aug 18;13(1):13437. doi: 10.1038/s41598-023-40679-4.

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 in situ hybridization assays to better understand the biological significance of the results and performed RNA-seq validation of biologically relevant 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 IL6, 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虚弱的疾病,其特征为尾部口腔黏膜、牙槽和颊黏膜双侧炎症和溃疡,并伴有不同程度的牙周病。FCGS 的病因发病机制仍未解决。在这项研究中,我们对来自患有 FCGS 的患猫和未受影响动物的组织进行了批量 RNA-seq 分子分析,以鉴定候选基因和通路,从而帮助指导未来探索新的临床解决方案。我们通过免疫组织化学和原位杂交检测补充了转录组学发现,以更好地理解结果的生物学意义,并使用 qPCR 检测对具有生物学意义的差异表达基因进行了 RNA-seq 验证,以证明技术重现性。患有 FCGS 的猫的口腔黏膜组织的转录组谱富含与免疫和炎症相关的基因和通路,这些基因和通路似乎主要受 IL6 影响,包括 NFKB、JAK/STAT、IL-17 和 IFN Ⅰ型和Ⅱ型信号转导,为基于对疾病的更合理理解来开发新的临床应用提供了新的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/818e/10439118/8856c3ff10ba/41598_2023_40679_Fig1_HTML.jpg

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