ArticlePloS one2013
Gene expression-based classifiers identify Staphylococcus aureus infection in mice and humans.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.
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Who cites it
46 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Host Transcriptional Meta-signatures Reveal Diagnostic Biomarkers for Plasmodium falciparum Malaria.The Journal of infectious diseases · 2024Pooled it
- Upregulation of CRISP3 and its clinical values in adult sepsis: a comprehensive analysis based on microarrays and a two-retrospective-cohort study.Frontiers in immunology · 2024Pooled it
- The immunosuppressive face of sepsis early on intensive care unit-A large-scale microarray meta-analysis.PloS one · 2018Pooled it
- Community-Acquired Pneumonia: Disease Course Prediction With a 5-Gene Signature.CHEST pulmonary · 2026Article
- LILRA5 Functions to Induce ROS Production on Innate Immune Cells.European journal of immunology · 2025Article
- A potential XGBoost Diagnostic Score forFrontiers in immunology · 2025Article
- Sepsis pathogenesis and outcome are shaped by the balance between the transcriptional states of systemic inflammation and antimicrobial response.Cell reports. Medicine · 2024Article
- Predictive signature of murine and human host response to typical and atypical pneumonia.BMJ open respiratory research · 2024Article
- Identification and validation of diagnostic biomarkers and immune cell abundance characteristics inFrontiers in immunology · 2024Article
- Integrated transcriptomic analysis reveals immune signatures distinguishing persistent versus resolving outcomes in MRSA bacteremia.Frontiers in immunology · 2024Article
- Transcriptional markers classifying Escherichia coli and Staphylococcus aureus induced sepsis in adults: A data-driven approach.PloS one · 2024Article
- Assessing the Influence of Climate Change and Environmental Factors on the Top Tick-Borne Diseases in the United States: A Systematic Review.Microorganisms · 2023Review
- Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data.Nature computational science · 2023Article
- A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations.Cell reports. Medicine · 2022Article
- IFI44 is an immune evasion biomarker for SARS-CoV-2 andFrontiers in immunology · 2022Article
- A diagnostic classifier for gene expression-based identification of early Lyme disease.Communications medicine · 2022Article
- Mortality Prediction in Sepsis With an Immune-Related Transcriptomics Signature: A Multi-Cohort Analysis.Frontiers in medicine · 2022Article
- Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis.BMC microbiology · 2021Article
- Highly multiplexed oligonucleotide probe-ligation testing enables efficient extraction-free SARS-CoV-2 detection and viral genotyping.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021Article
- Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data.PloS one · 2021Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Staphylococcus aureus causes a spectrum of human infection. Diagnostic delays and uncertainty lead to treatment delays and inappropriate antibiotic use. A growing literature suggests the host's inflammatory response to the pathogen represents a potential tool to improve upon current diagnostics. The hypothesis of this study is that the host responds differently to S. aureus than to E. coli infection in a quantifiable way, providing a new diagnostic avenue. This study uses Bayesian sparse factor modeling and penalized binary regression to define peripheral blood gene-expression classifiers of murine and human S. aureus infection. The murine-derived classifier distinguished S. aureus infection from healthy controls and Escherichia coli-infected mice across a range of conditions (mouse and bacterial strain, time post infection) and was validated in outbred mice (AUC>0.97). A S. aureus classifier derived from a cohort of 94 human subjects distinguished S. aureus blood stream infection (BSI) from healthy subjects (AUC 0.99) and E. coli BSI (AUC 0.84). Murine and human responses to S. aureus infection share common biological pathways, allowing the murine model to classify S. aureus BSI in humans (AUC 0.84). Both murine and human S. aureus classifiers were validated in an independent human cohort (AUC 0.95 and 0.92, respectively). The approach described here lends insight into the conserved and disparate pathways utilized by mice and humans in response to these infections. Furthermore, this study advances our understanding of S. aureus infection; the host response to it; and identifies new diagnostic and therapeutic avenues.
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