ArticleResearch square2025
Metagenomic Cell-free DNA Sequencing for Treatment Monitoring in Sepsis.
Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
Funding
Abstract
Sepsis is a life-threatening organ dysfunction caused by a dysregulated response to infection. Early identification of pathogens and accurate assessment of organ injury are critical for improving outcomes, but current methods are often inadequate, especially after initiation of antibiotic treatment. Metagenomic sequencing of cell-free DNA (cfDNA) offers a promising alternative, enabling simultaneous pathogen detection and tissue-of-origin profiling. Contamination, however, can limit its accuracy in low-biomass samples. Here, we apply the Sample-Intrinsic Microbial DNA Found by Tagging and Sequencing (SIFT-seq) assay, which reduces contamination and allows detection of pathogens and organ injury simultaneously. We analyzed 142 plasma specimens: 105 from sepsis patients, 103 collected after initiation of antibiotic treatment, 24 from non-sepsis ICU controls, and 13 from healthy controls. SIFT-seq identified sepsis-causing pathogens in good agreement with pre-antibiotic blood cultures, revealed elevated immune activity and organ injury in sepsis patients, and, when combined with the SOFA score in a multivariate model, improved diagnostic performance (AUC = 0.874). These findings highlight the potential of integrated cfDNA profiling to enhance sepsis diagnosis.
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Registered trials
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