Aug 2026· Frontiers in Microbiology· Vol 17· 0 citations· 31 references
Medicine
TL;DR
These findings support cautious reporting of patient-enriched microbial DNA and ARG signals rather than inference of a resident blood microbiome or clinical resistance phenotype, and identify a subset of microbial DNA and ARG signals that remained detectable under increasingly stringent control criteria while distinguishing them from catalogue-level or background-sensitive signals.
Abstract
Febrile neutropenia (FN) is a life-threatening complication of chemotherapy, but the low microbial biomass of blood makes shotgun metagenomic profiles highly sensitive to technical background. We reanalyzed 47 publicly available patient sequencing runs representing 43 unique patient-timepoint samples from 19 SRA-labeled patients, together with 23 no-template-control (NTC) runs spanning 21 sequencing batches. To distinguish reference-catalogue content from progressively stronger evidence of patient-associated signal, we applied batch-matched NTC correction together with nested abundance thresholds and a feature-specific global NTC envelope. CheckM2 evaluated 1,013 bins; 13 met completeness ≥50% and contamination <10%, and dereplication yielded 11 draft MAG representatives. Ten representatives showed positive patient-to-control abundance excess, but only four showed recurrent support above both threefold matched-control abundance and the global NTC envelope. Functional annotations were therefore interpreted as reference-genome homologs rather than evidence of expression, phenotype, viability or bloodstream origin. Matched-control correction retained 19 read-level ARG types, but only seven subjects contributed complete longitudinal ARG-profile contrasts, limiting reliable temporal inference. The resulting run-resolved, nested evidence framework identified a subset of microbial DNA and ARG signals that remained detectable under increasingly stringent control criteria while distinguishing them from catalogue-level or background-sensitive signals. These findings support cautious reporting of patient-enriched microbial DNA and ARG signals rather than inference of a resident blood microbiome or clinical resistance phenotype.
Much of the apparent cmDNA structure, including its agreement with a published cancer-microbiome catalog, is explained by base composition and reference-database architecture rather than authentic biology, and short-read k-mer pipelines cannot separate the two on their own.
Daisy Fry Brumit, Daniel Bsteh, Shan Sun et al.· bioRxiv· 0 citations
Introduction Clinical metagenomic next-generation sequencing (mNGS) enables broad, untargeted pathogen detection, but its analytical performance depends on host depletion strategy, reference database composition, and alignment methodology. We developed the Clinical Microbial Genomic Database (CMGD), a clinically focuse...
Han Xia, Yan-Hua Wen, Xu-Ming Li et al.· Frontiers in Cellular and In...· 0 citations
The human microbiome comprises the collection of microbiota residing on or within human tissues. It is now well-established that microbial composition impacts an individual’s health. In the cancer realm, the vast majority of microbiome studies have been focused either on the gut, or at the site of solid tumors. Few stu...
An Dinh Duy Nguyen, Roshan Kern, T. Dombrovski et al.· Frontiers in microbiomes· 0 citations
Human adenovirus type 7 (HAdV-7) can cause severe pneumonia and sepsis in children, but the associated host epigenetic and immune alterations remain poorly defined. We profiled peripheral-blood DNA methylation in 11 children with HAdV-7-associated sepsis (6 survivors and 5 non-survivors) and 5 pediatric controls withou...
Pei-Dan Hu, Bo Huang, Wen-Min Yang et al.· Pathogens· 0 citations
Single-cell RNA-sequencing resolves cellular states in exquisite detail. Yet oncogenic gene fusions, key drivers in 16.5% of malignancies and ∼50-70% of acute lymphoblastic leukaemia (ALL) cases, remain largely invisible at this resolution. This leaves a fundamental gap in understanding cancer biology. We close it with...
Jovana Maksimovic, Victoria Streeton-Cook, Calandra V. Grima et al.· bioRxiv· 0 citations
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