Prashen Chelikani

The paper identifies shared microbial dysbiosis in OPMD and OSCC across cohorts and evaluates the transportability of an OSCC classifier, finding limited diagnostic utility.

The paper integrates systems biology and machine learning to analyze bacterial signaling networks in OSCC, identifies key nodes, and designs multi-target ligands for the MAPK1-STAT3-mTOR axis.

The paper investigates the interaction between T2R14 and CFTR, showing agonist-dependent physical coupling and Gq signaling in response to microbial signals.

The paper uses hierarchical machine learning to identify topological differences in autophagy networks between pathogenic and commensal oral bacteria in OSCC.

This study investigates the relationship between taste-related genetic variants and the dental plaque microbiome in early childhood caries, finding associations with Streptococcus mutans and social factors.

This study examines the link between bitter taste receptor gene variants and oral health outcomes in the CLSA cohort, finding associations with sore jaw muscles and suggesting genetic screening for TMD risk.

This study examines the dental plaque microbiome in early childhood caries, finding associations between specific microbes, socioeconomic factors, and host variables.

This study shows that T2R14 downregulates autophagy flux in gingival epithelial cells and that S. mutans CSP-1 induces calcium release dependent on T2R14 and autophagy protein 7.

The paper characterizes T2R14-dependent autophagy in gingival epithelial cells using western blot and flow cytometry to assess autophagy flux.