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Author Spotlight: Oral Candida Diagnosis to Advance Clinical Treatment Regimen for pSS Patients
Published on: March 1, 2024
Dynamic alterations of oral fungal microbiota in Omicron infected patients
Yarong Ma1, Shanshuo Liu1, Guizhen Zhang1
1Department of Infectious Diseases, State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Abstract:
Oral fungal microbiota plays an important role in many diseases, however, the role of oral fungal microorganisms in the development of patients infected with Omicron has not been reported. A total of 963 tongue coating samples were prospectively included in this study, and finally 336 samples from patients infected Omicron variant (PIOV), 234 samples from recovered patients infected with Omicron (RP), 71 samples from patients infected original strain of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) (PIOS), 299 samples from healthy controls (HC) completed internal transcribed spacer (ITS) sequencing after screening and quality control. By comparing the difference of oral fungal microorganisms between PIOV, RP and HC, we found that with the recovery of PIOV, their oral fungal microecological diversity increased gradually. Besides, at the species level, there were 24 oral fungal species such as Zanclospora_jonesii increased gradually, while there were 24 oral fungal species such as Saccharomyces_cerevisiae decreased gradually. In addition, by comparing PIOS and PIOV, we found that the alpha diversity of oral fungal microorganisms in PIOV was significantly lower than PIOS and the main species of the two groups were different. At the same time, we randomly divided PIOV and HC into training and validation set. Based on random forest model and five-fold cross-validation, we identified three optimal microbial markers of oral fungi and constructed a diagnostic model of PIOV. The area under the curve (AUC) value of PIOV group was 99.01% in discovery phase and 97.84% in verification phase. In summary, based on large-scale samples, this study is the first to elucidate the characteristics of oral fungal microbiota changes during PIOV recovery and establish a supplemental non-invasive diagnostic model for PIOV based on the oral fungal microbiome.
Insights
The oral fungal microbiome changes during Omicron variant infection and recovery. This study identified key fungal markers to create a diagnostic model for Omicron variant patients.
Area of Science:
- Medical Mycology
- Microbiome Research
- Infectious Diseases
Background:
- The oral fungal microbiota is implicated in various diseases.
- The role of oral fungi in Omicron variant infections remains unexplored.
Purpose of the Study:
- To investigate oral fungal microbiota alterations in patients infected with the Omicron variant (PIOV).
- To compare oral fungal profiles between PIOV, recovered patients (RP), patients infected with the original SARS-CoV-2 strain (PIOS), and healthy controls (HC).
- To develop a diagnostic model for PIOV based on oral fungal markers.
Main Methods:
- Internal transcribed spacer (ITS) sequencing of 963 tongue coating samples.
- Comparative analysis of oral fungal diversity and species composition.
- Random forest model with five-fold cross-validation for diagnostic model development.
Main Results:
- Oral fungal microecological diversity increased during PIOV recovery.
- Specific fungal species like Zanclospora_jonesii increased, while Saccharomyces_cerevisiae decreased during recovery.
- PIOV showed significantly lower alpha diversity compared to PIOS, with distinct dominant species.
- A diagnostic model achieved high accuracy (99.01% discovery, 97.84% verification).
Conclusions:
- This study provides the first large-scale elucidation of oral fungal microbiota changes during Omicron variant infection and recovery.
- Oral fungal microbiome alterations can serve as a basis for a non-invasive diagnostic model for PIOV.
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