An Automated and Portable Platform for Rapid Cell-Free DNA Isolation and Its Application in Microbial DNA Sequencing from Human Blood Samples

Linda Marriott, Ana Martinez-Lopez, Antonio Liga, Kazuhiro Horiba, Amanda Warr, Jacob N. Phulusa, Radhe Shantha Kumar, Laura Carey, Yoshinori Ito, Benjamin Parcell, Nicholas R. Leslie, Nicholas A. Feasey, Shevin T. Jacob, Jamie Rylance, Maïwenn Kersaudy-Kerhoas

Research output: Working paper/PreprintPreprint

Abstract

BackgroundThe prompt identification of pathogens in human circulation in a clinically deployable format remains an unmet clinical need. The established test for infection diagnostics remains blood culture, which typically takes 2-4 days and is positive in less than 15% of cases, with many prevalent pathogens difficult or impossible to culture. While microbial cfDNA in blood could facilitate the diagnosis of sepsis and febrile and infectious conditions, sample preparation for cell-free DNA (cfDNA) analysis in decentralised settings presents challenges due to its complexity and the low concentration and fragmented nature of cfDNA in blood plasma. MethodsWe developed a portable and automated platform (CNASafe) for cfDNA isolation from human plasma samples. Device performance was evaluated by comparing cfDNA yield against a reference (QIAGEN QIAamp Circulating Nucleic Acid Kit). cfDNA eluates from ten non-cultured blood samples from hospital patients were sequenced on a nanopore sequencer, and results compared to blood cultures. ResultsExtraction of cfDNA using the CNASafe device was completed in 40 minutes, compared to the 2-hour reference protocol. The device achieved an average relative cfDNA recovery of 100.5% over 333 unique extractions encompassing all parameter variations, demonstrating a performance equivalent to the reference kit. From the patient samples, a sufficient quantity of microbial cfDNA was extracted to either identify pathogens missed by blood cultures or confirm negative cultures. ConclusionsThe CNASafe platform and real-time nanopore sequencing offer a promising solution for the rapid deployment of metagenomic diagnostics, enabling pathogen identification within a few hours in decentralised clinical environments.
Original languageEnglish
PublishermedRxiv
Number of pages20
DOIs
Publication statusPublished - 31 Dec 2024

Keywords

  • infectious diseases

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