NGS-based Aspergillus detection in plasma and lung lavage of children with invasive pulmonary aspergillosis

Emmy Wesdorp, Laura Rotte, Li-Ting Chen, Myrthe Jager, Nicolle Besselink, Carlo Vermeulen, Ferry Hagen, Tjomme van der Bruggen, Caroline Lindemans, Tom Wolfs, Louis Bont*, Jeroen de Ridder*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In immunocompromised pediatric patients, diagnosing invasive pulmonary aspergillosis (IPA) poses a significant challenge. Next-Generation Sequencing (NGS) shows promise for detecting fungal DNA but lacks standardization. This study aims to advance towards clinical evaluation of liquid biopsy NGS for Aspergillus detection, through an evaluation of wet-lab procedures and computational analysis. Our findings support using both CHM13v2.0 and GRCh38.p14 in host-read mapping to reduce fungal false-positives. We demonstrate the sensitivity of our custom kraken2 database, cRE.21, in detecting Aspergillus species. Additionally, cell-free DNA sequencing shows superior performance to whole-cell DNA sequencing by recovering higher fractions of fungal DNA in lung fluid (bronchoalveolar lavage [BAL] fluid) and plasma samples from pediatric patients with probable IPA. In a proof-of-principle, A. fumigatus was identified in 5 out of 7 BAL fluid samples and 3 out of 5 plasma samples. This optimized workflow can advance fungal-NGS research and represents a step towards enhancing diagnostic certainty by enabling more sensitive and accurate species-level diagnosis of IPA in immunocompromised patients.

Original languageEnglish
Article number24
Journalnpj Genomic Medicine
Volume10
Issue number1
DOIs
Publication statusPublished - 17 Mar 2025

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