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Transcriptomic signatures of feline chronic gingivostomatitis are influenced by upregulated IL6.
Peralta, Santiago; Grenier, Jennifer K; Webb, Suzin M; Miller, Andrew D; Miranda, Ileana C; Parker, John S L.
Affiliation
  • Peralta S; Cornell University.
  • Grenier JK; Cornell University.
  • Webb SM; Cornell University.
  • Miller AD; Cornell University.
  • Miranda IC; Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, The Rockefeller University.
  • Parker JSL; Cornell University.
Res Sq ; 2023 May 03.
Article in En | MEDLINE | ID: mdl-37205490
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 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 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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Res Sq Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Res Sq Year: 2023 Document type: Article
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