AI Article Synopsis
- - Invasive fungal infections (IFIs) are frequent and serious complications for patients who have undergone hematopoietic stem cell transplantation (HSCT), leading to severe health issues and high mortality rates.
- - Recent advancements in non-culture diagnostic techniques, such as biosensors and AI-assisted methods, have improved the detection of IFIs, which helps in making better treatment decisions and enhances survival rates for post-HSCT leukemia patients.
- - The review highlights two common IFIs in HSCT patients, introduces new detection technologies, and discusses the potential of a specific method called CCP-FRET for identifying IFIs, aiming to guide the choice of diagnostic approaches in labs.
Article Abstract
Invasive fungal infections (IFIs) are common and life-threatening complications in post-hematopoietic stem cell transplantation (post-HSCT) recipients, Severe IFIs can lead to systemic infection and organ damage, which results in high mortality in HSCT recipients. With the development of the field of fungal infection diagnosis, more and more advanced non-culture diagnostic tools have been developed, such as glip biosensors, metagenomic next-generation sequencing, Magnetic Nanoparticles and Identified Using SERS via AgNPs , and artificial intelligence-assisted diagnosis. The advanced diagnostic approaches contribute to the success of HSCT and improve the overall survival of post-HSCT leukemia patients by supporting therapeutical decisions. This review provides an overview of the characteristics of two high-incidence IFIs in post-HSCT recipients and discusses some of the recently developed IFI detection technologies. Additionally, it explores the potential application of cationic conjugated polymer fluorescence resonance energy transfer (CCP-FRET) technology for IFI detection. The aim is to offer insights into selecting appropriate IFI detection methods and gaining an understanding of novel fungal diagnostic approaches in laboratory settings.
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| http://dx.doi.org/10.1007/s00203-024-03905-9 | DOI Listing |
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