Microfluidic and MEMS-Based Biosensing Platforms for Fungal Respiratory Infections in Immunocompromised Patients:
Vasiliki E Georgakopoulou1, Vassiliki C Pitiriga2
1Department of Pathophysiology, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Abstract:
Invasive fungal respiratory infections (IFRIs) remain a major cause of morbidity and mortality among immunocompromised patients, yet diagnosis continues to be hindered by nonspecific clinical features, limited sample accessibility, and the poor sensitivity or specificity of conventional tests. Microfluidic and microelectromechanical systems (MEMS)-based biosensing platforms have emerged as promising alternatives, enabling rapid, minimally invasive, and highly specific detection of fungal pathogens and host responses. Microfluidic nucleic acid and antigen assays allow on-chip amplification and immunodetection with reduced sample volumes and turnaround times, while CRISPR-enhanced systems further improve analytical sensitivity. Parallel advances in host response profiling-including transcriptomic, proteomic, and cytokine-based signatures-have demonstrated feasibility for integration into lab-on-a-chip platforms. MEMS-based technologies extend this potential by facilitating real-time analysis of exhaled volatile organic compounds, mechanical biosensing of fungal DNA and antigens, and in situ monitoring of device-associated biofilms. Translational studies highlight potential applications across intensive care, hematology-oncology, and transplant settings, as well as in outpatient monitoring of high-risk populations. However, several challenges remain, including limited multicenter validation, matrix-related biofouling effects, and a lack of standardization in fungal biomarker panels. Future directions include AI-driven interpretation of multianalyte data, multiplexed integration of host and pathogen markers, and development of fully cartridge-based systems for near-patient deployment. Collectively, these innovations may shift fungal diagnostics toward earlier, more precise, and patient-tailored interventions, improving outcomes in vulnerable populations.
Insights
Advanced biosensing platforms offer rapid, minimally invasive detection of invasive fungal respiratory infections (IFRIs) in immunocompromised patients. These microfluidic and MEMS technologies promise earlier, more precise diagnostics for improved patient outcomes.
Area of Science:
- Biomedical Engineering
- Infectious Disease Diagnostics
- Microfluidics and MEMS
Background:
- Invasive fungal respiratory infections (IFRIs) are a significant threat to immunocompromised individuals.
- Current diagnostic methods for IFRIs suffer from limitations including nonspecific symptoms, difficult sample access, and poor test performance.
Purpose of the Study:
- To review the advancements in microfluidic and MEMS-based biosensing platforms for diagnosing IFRIs.
- To highlight the potential of these novel technologies in improving early and accurate detection of fungal infections.
Main Methods:
- Exploration of microfluidic nucleic acid and antigen assays, including CRISPR-enhanced systems.
- Review of MEMS-based technologies for volatile organic compound analysis and mechanical biosensing.
- Integration of host response profiling (transcriptomic, proteomic, cytokine signatures) into biosensing platforms.
Main Results:
- Microfluidic and MEMS platforms enable rapid, minimally invasive, and highly specific detection of fungal pathogens and host responses.
- These systems offer reduced sample volumes, faster turnaround times, and enhanced analytical sensitivity.
- Feasibility of integrating host response signatures and real-time monitoring capabilities demonstrated.
Conclusions:
- Microfluidic and MEMS biosensors represent a promising frontier for the future of IFRI diagnostics.
- Further research is needed to address challenges like standardization and clinical validation for near-patient deployment.
- These innovations could lead to earlier, more precise, and personalized interventions for vulnerable patient populations.
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