RESEARCH ARTICLE
Real-time Assessment of Interspecies Candida Biofilm Formation
Pedro M.D.S. Abrantes1, Kauthar Behardien1, Charlene W.J. Africa1, *
Article Information
Identifiers and Pagination:
Year: 2022Volume: 16
E-location ID: e187428582211230
Publisher ID: e187428582211230
DOI: 10.2174/18742858-v16-e221128-2022-26
Article History:
Received Date: 11/08/2022Revision Received Date: 04/10/2022
Acceptance Date: 24/10/2022
Electronic publication date: 30/12/2022
Collection year: 2022

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background:
Candida infections are responsible for increased morbidity and mortality in immunocompromised patients, with Candida having the ability to form highly structured biofilms that protect them from the external environment and the action of antifungals. Few studies have reported on real-time interactions between Candida species.
Objective:
This study aimed to investigate the interspecies biofilm changes of oral Candida species using the xCELLigence system and the CV staining technique.
Methods:
This study demonstrated the mixed biofilm interactions of Candida species using an impedance-based biofilm monitoring system and crystal violet staining.
Results:
When using the xCELLigence system, the maximum cell index increased in most mixed biofilms, except for the C. glabrata/C. parapsilosis and C. albicans combinations. Bulk biofilm formation measured by CV staining was the highest in C. albicans and C. tropicalis combinations and the lowest in the C. glabrata/C. parapsilosis combination. Pseudohyphae were observed in C. albicans and C. glabrata in combination with C. tropicalis or C. parapsilosis.
Conclusion:
This study is the first to report on the real-time interactions of Candida species using the xCELLigence system and suggests that the presence of specific species influences the biofilm formation of commonly isolated Candida species.