Oral Biopsy: Principles and Practice

Ranganathan, Kannan

doi:10.1007/978-3-030-32316-5_8

Cited by 1 publication

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, despite being numerically underrepresented, the generally larger cell size of fungal species has been speculated to contribute a proportionally larger amount of biomass [ 55 ]. It is also possible that the increased number of identified fungal proteins was due to the use of surgical antiseptics, such as chlorhexidine, povidone iodine, and, less commonly, alcoholic disinfectants [ 59 , 60 , 61 ]. Alcohols remain effective against bacteria, but demonstrate low efficacy against fungi and fungal spores [ 60 , 62 ].…”

Section: Discussionmentioning

confidence: 99%

“…Alcohols remain effective against bacteria, but demonstrate low efficacy against fungi and fungal spores [ 60 , 62 ]. Conversely, povidone iodine and chlorhexidine exhibit greater fungicidal activity, with povidone iodine demonstrating additional efficacy against spores [ 59 , 60 , 63 , 64 ]. Due to their prevalence, many experiments have demonstrated the efficacy of povidone iodine and chlorhexidine against Candida species specifically [ 64 , 65 , 66 , 67 ], likely explaining the lack of Candida species identified in the current study.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Metaproteomic Analysis of an Oral Squamous Cell Carcinoma Dataset Suggests Diagnostic Potential of the Mycobiome

Chakraborty

Ranganathan

2023

IJMS

View full text Add to dashboard Cite

Oral squamous cell carcinoma (OSCC) is the most common head and neck malignancy, with an estimated 5-year survival rate of only 40–50%, largely due to late detection and diagnosis. Emerging evidence suggests that the human microbiome may be implicated in OSCC, with oral microbiome studies putatively identifying relevant bacterial species. As the impact of other microbial organisms, such as fungi and viruses, has largely been neglected, a bioinformatic approach utilizing the Trans-Proteomic Pipeline (TPP) and the R statistical programming language was implemented here to investigate not only bacteria, but also viruses and fungi in the context of a publicly available, OSCC, mass spectrometry (MS) dataset. Overall viral, bacterial, and fungal composition was inferred in control and OSCC patient tissue from protein data, with a range of proteins observed to be differentially enriched between healthy and OSCC conditions, of which the fungal protein profile presented as the best potential discriminator of OSCC within the analysed dataset. While the current project sheds new light on the fungal and viral spheres of the oral microbiome in cancer in silico, further research will be required to validate these findings in an experimental setting.

show abstract