Related Experiment Video
Updated: Jan 24, 2026
Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications
Published on: June 29, 2020
Recent trends in molecular diagnostics of yeast infections: from PCR to NGS
, Toni Gabaldón1,2,3
1Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain.
Abstract:
The incidence of opportunistic yeast infections in humans has been increasing over recent years. These infections are difficult to treat and diagnose, in part due to the large number and broad diversity of species that can underlie the infection. In addition, resistance to one or several antifungal drugs in infecting strains is increasingly being reported, severely limiting therapeutic options and showcasing the need for rapid detection of the infecting agent and its drug susceptibility profile. Current methods for species and resistance identification lack satisfactory sensitivity and specificity, and often require prior culturing of the infecting agent, which delays diagnosis. Recently developed high-throughput technologies such as next generation sequencing or proteomics are opening completely new avenues for more sensitive, accurate and fast diagnosis of yeast pathogens. These approaches are the focus of intensive research, but translation into the clinics requires overcoming important challenges. In this review, we provide an overview of existing and recently emerged approaches that can be used in the identification of yeast pathogens and their drug resistance profiles. Throughout the text we highlight the advantages and disadvantages of each methodology and discuss the most promising developments in their path from bench to bedside.
Insights
Opportunistic yeast infections are rising, posing diagnostic and treatment challenges due to species diversity and antifungal resistance. Advanced techniques like next-generation sequencing offer faster, more accurate detection for improved patient outcomes.
Area of Science:
- Medical Mycology
- Infectious Diseases
- Diagnostic Microbiology
Background:
- Increasing incidence of opportunistic yeast infections globally.
- Challenges in diagnosing and treating yeast infections due to species diversity and antifungal resistance.
- Limitations of current diagnostic methods, including low sensitivity, specificity, and reliance on culturing.
Purpose of the Study:
- To review existing and emerging methods for identifying yeast pathogens.
- To assess methods for determining antifungal drug resistance profiles.
- To discuss the translation of advanced diagnostic technologies from research to clinical practice.
Main Methods:
- Overview of traditional yeast identification and antifungal susceptibility testing methods.
- Exploration of high-throughput technologies like next-generation sequencing and proteomics.
- Comparative analysis of the advantages and disadvantages of various diagnostic approaches.
Main Results:
- Current methods often lack the required sensitivity, specificity, and speed for timely diagnosis.
- Emerging technologies show promise for rapid and accurate identification of yeast pathogens and resistance.
- Significant challenges remain in the clinical implementation of these advanced diagnostic tools.
Conclusions:
- Rapid and accurate identification of yeast pathogens and their drug resistance is crucial for effective treatment.
- High-throughput technologies represent a significant advancement in diagnostic capabilities.
- Further research and development are needed to overcome barriers to clinical translation and improve patient care.
Related Concept Videos
01:28Current Trends in Nursing I
01:30Current Trends in Nursing II
01:28Yeast Signaling
01:32PCR
01:29Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
03:51Molecular Orbital Theory II