Javascript must be enabled to continue!
Oral Fungal Infections: Past, Present, and Future
View through CrossRef
Oral fungal infections have afflicted humans for millennia. Hippocrates (ca. 460-370 BCE) described two cases of oral aphthae associated with severe underlying diseases that could well have been oral candidiasis. While oral infections caused by other fungi such as cryptococcosis, aspergillosis, mucormycosis, histoplasmosis, blastomycosis, and coccidioidomycosis occur infrequently, oral candidiasis came to the fore during the AIDS epidemic as a sentinel opportunistic infection signaling the transition from HIV infection to AIDS. The incidence of candidiasis in immunocompromised AIDS patients highlighted the importance of host defenses in preventing oral fungal infections. A greater understanding of the nuances of human immune systems has revealed that mucosal immunity in the mouth delivers a unique response to fungal pathogens. Oral fungal infection does not depend solely on the fungus and the host, however, and attention has now focussed on interactions with other members of the oral microbiome. It is evident that there is inter-kingdom signaling that affects microbial pathogenicity. The last decade has seen significant advances in the rapid qualitative and quantitative analysis of oral microbiomes and in the simultaneous quantification of immune cells and cytokines. The time is ripe for the application of machine learning and artificial intelligence to integrate more refined analyses of oral microbiome composition (including fungi, bacteria, archaea, protozoa and viruses—including SARS-CoV-2 that causes COVID-19). This analysis should incorporate the quantification of immune cells, cytokines, and microbial cell signaling molecules with signs of oral fungal infections in order to better diagnose and predict susceptibility to oral fungal disease.
Title: Oral Fungal Infections: Past, Present, and Future
Description:
Oral fungal infections have afflicted humans for millennia.
Hippocrates (ca.
460-370 BCE) described two cases of oral aphthae associated with severe underlying diseases that could well have been oral candidiasis.
While oral infections caused by other fungi such as cryptococcosis, aspergillosis, mucormycosis, histoplasmosis, blastomycosis, and coccidioidomycosis occur infrequently, oral candidiasis came to the fore during the AIDS epidemic as a sentinel opportunistic infection signaling the transition from HIV infection to AIDS.
The incidence of candidiasis in immunocompromised AIDS patients highlighted the importance of host defenses in preventing oral fungal infections.
A greater understanding of the nuances of human immune systems has revealed that mucosal immunity in the mouth delivers a unique response to fungal pathogens.
Oral fungal infection does not depend solely on the fungus and the host, however, and attention has now focussed on interactions with other members of the oral microbiome.
It is evident that there is inter-kingdom signaling that affects microbial pathogenicity.
The last decade has seen significant advances in the rapid qualitative and quantitative analysis of oral microbiomes and in the simultaneous quantification of immune cells and cytokines.
The time is ripe for the application of machine learning and artificial intelligence to integrate more refined analyses of oral microbiome composition (including fungi, bacteria, archaea, protozoa and viruses—including SARS-CoV-2 that causes COVID-19).
This analysis should incorporate the quantification of immune cells, cytokines, and microbial cell signaling molecules with signs of oral fungal infections in order to better diagnose and predict susceptibility to oral fungal disease.
Related Results
Evolution of Antimicrobial Resistance in Community vs. Hospital-Acquired Infections
Evolution of Antimicrobial Resistance in Community vs. Hospital-Acquired Infections
Abstract
Introduction
Hospitals are high-risk environments for infections. Despite the global recognition of these pathogens, few studies compare microorganisms from community-acqu...
Fungal Infections in Chronic Lymphocytic Leukemia before and after Treatment
Fungal Infections in Chronic Lymphocytic Leukemia before and after Treatment
Background : Patients with Chronic Lymphocytic Leukemia (CLL) are susceptible to infections due to impaired immunity, from both complications of disease and treatments. Specific tr...
PS1154 INFECTIONS IN CLL PATIENTS RECEIVING IBRUTINIB: INCIDENCE AND PREDISPOSING FACTORS
PS1154 INFECTIONS IN CLL PATIENTS RECEIVING IBRUTINIB: INCIDENCE AND PREDISPOSING FACTORS
Background:Infections are a typical complication of chronic lymphocytic leukemia (CLL). Guidelines for prevention of infections in patients with CLL receiving ibrutinib is lacking,...
The Incidence of Fungal Infections in Patients Treated with Tocilizumab for Severe COVID-19 Pneumonia Requiring High Care or ICU Admission: A Retrospective Cohort Study
The Incidence of Fungal Infections in Patients Treated with Tocilizumab for Severe COVID-19 Pneumonia Requiring High Care or ICU Admission: A Retrospective Cohort Study
Background: Critically ill COVID-19 patients often experience immune dysregulation, leading to cytokine release syndrome and an increased susceptibility to nosocomial infections, i...
Inferring fungal growth rates from optical density data
Inferring fungal growth rates from optical density data
AbstractQuantifying fungal growth underpins our ability to effectively treat severe fungal infections. Current methods quantify fungal growth rates from time-course morphology-spec...
4.N. Workshop: Maternal Oral Health Models and Initiatives in Global and Public Health Perspectives
4.N. Workshop: Maternal Oral Health Models and Initiatives in Global and Public Health Perspectives
Abstract
Achieving and maintaining good oral health is essential for both the oral and overall health of expecting mothers and...
Oral Manifestation of Sexual Transmitted Diseases
Oral Manifestation of Sexual Transmitted Diseases
Abstract: Sexually transmitted diseases (STDs) are transmitted through sexual contact, and can manifest in the oral cavity. This study aimed to determine the oral manifestations of...
The symptom network of oral health conditions in older populations with oral frailty: a cross-sectional study
The symptom network of oral health conditions in older populations with oral frailty: a cross-sectional study
Abstract
Background
Population aging is increasing globally, with oral frailty affecting 24% of the older population. Previous studies have demon...

