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The Use of Host Biomarkers for the Management of Invasive Fungal Disease
James S Griffiths1, Selinda J Orr2, Charles Oliver Morton3
1Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London WC2R 2LS, UK.
Abstract:
Invasive fungal disease (IFD) causes severe morbidity and mortality, and the number of IFD cases is increasing. Exposure to opportunistic fungal pathogens is inevitable, but not all patients with underlying diseases increasing susceptibility to IFD, develop it. IFD diagnosis currently uses fungal biomarkers and clinical risk/presentation to stratify high-risk patients and classifies them into possible, probable, and proven IFD. However, the fungal species responsible for IFD are highly diverse and present numerous diagnostic challenges, which culminates in the empirical anti-fungal treatment of patients at risk of IFD. Recent studies have focussed on host-derived biomarkers that may mediate IFD risk and can be used to predict, and even identify IFD. The identification of novel host genetic variants, host gene expression changes, and host protein expression (cytokines and chemokines) associated with increased risk of IFD has enhanced our understanding of why only some patients at risk of IFD actually develop disease. Furthermore, these host biomarkers when incorporated into predictive models alongside conventional diagnostic techniques enhance predictive and diagnostic results. Once validated in larger studies, host biomarkers associated with IFD may optimize the clinical management of populations at risk of IFD. This review will summarise the latest developments in the identification of host biomarkers for IFD, their use in predictive modelling and their potential application/usefulness for informing clinical decisions.
Insights
Invasive fungal disease (IFD) is rising, but host biomarkers can predict which susceptible patients develop IFD. Identifying these host factors improves early diagnosis and treatment for invasive fungal disease.
Area of Science:
- Medical Mycology
- Immunology
- Genetics
Background:
- Invasive fungal diseases (IFDs) cause significant mortality, with increasing incidence.
- Current IFD diagnosis relies on fungal biomarkers and clinical assessment, often leading to empirical antifungal treatment.
- Understanding host factors is crucial as not all susceptible individuals develop IFD.
Purpose of the Study:
- To review recent advancements in identifying host-derived biomarkers for IFD risk.
- To explore the utility of these biomarkers in predictive modeling for IFD.
- To discuss the potential clinical applications of host biomarkers in managing IFD.
Main Methods:
- Review of recent scientific literature on host biomarkers associated with IFD.
- Analysis of studies identifying genetic variants, gene expression, and protein expression (cytokines, chemokines) in IFD risk.
- Evaluation of the integration of host biomarkers into predictive models.
Main Results:
- Novel host genetic, gene expression, and protein biomarkers are being identified.
- These biomarkers enhance the understanding of IFD susceptibility.
- Incorporating host biomarkers into predictive models improves diagnostic accuracy.
Conclusions:
- Host biomarkers offer a promising avenue for predicting and identifying IFD.
- Further validation in larger studies is needed for clinical implementation.
- Host biomarkers have the potential to optimize the management of at-risk populations for IFD.
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