Analytical and clinical validation of multiplex droplet digital PCR assay for detecting pathogenic fungal infection in lungs
Analytical and clinical validation of multiplex droplet digital PCR assay for detecting pathogenic fungal infection in lungs
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DOI:
10.1080/21501203.2023.2296941
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发表时间:
2023-12-30
期刊:
影响因子:
--
通讯作者:
Wu,Wenjuan
中科院分区:
文献类型:
--
作者:
Guo,Jian;Tian,Wenjie;Wu,Wenjuan
Pulmonary invasive fungal infection in immunocompromised hosts is difficult to diagnose, and current tools for diagnosis or monitoring of response to antifungal treatments have inherent limitations. Droplet digital PCR (ddPCR) has emerged as a promising tool for pulmonary pathogen detection with high sensitivity. This study presents a novel ddPCR panel for rapid and sensitive identification of pulmonary fungal pathogens. First, a ddPCR method for detecting three fungal genera, includingPneumocystis,Aspergillus, andCryptococcus, was established and evaluated. Then, the clinical validation performance of ddPCR was compared with that of qPCR using 170 specimens, and the 6 specimens with inconsistent results were further verified by metagenomics next-generation sequencing, which yielded results consistent with the ddPCR findings. Finally, the area under the ROC curve (AUC) was used to evaluate the efficiency of ddPCR. While the qPCR identified 16 (9.41%) cases ofAspergillusand 6 (3.53%) cases ofPneumocystis, ddPCR detected 20 (11.76%)Aspergilluscases and 8 (4.71%)Pneumocystiscases. The AUC forAspergillus,Cryptococcus, andPneumocystiswas 0.974, 0.998, and 0.975, respectively. These findings demonstrated that the ddPCR assay is a highly sensitive method for identifying pathogens responsible for invasive fungal pulmonary infections, and is a promising tool for early diagnosis.