ArticleNature microbiology2017
Clonal differences in Staphylococcus aureus bacteraemia-associated mortality.
Article in Nature microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
90 citing papers in PubMed, 1 synthesis or guideline pooled it, 158 citations in OpenAlex.
- Pooled it
- Rationalizing Heterogeneity in Staphylococcus aureus Bacteremia: Current Progress and Future Goals.The Journal of infectious diseases · 2026Review
- Integrated Genome-Wide Association Study and Machine Learning Approach for Characterizing the Determinants of Biofilm Formation in Staphylococcus aureus.Interdisciplinary sciences, computational life sciences · 2026Article
- Human serum triglycerides promote Staphylococcus aureus biofilm formation and antibiotic tolerance.NPJ biofilms and microbiomes · 2026Article
- Urogenital infections select for reduced ability to grow in a low-iron environment and reduced blood survival forMicrobiology (Reading, England) · 2026Article
- Metabolic reprogramming promotesMicrobiology (Reading, England) · 2026Article
- Genome-wide association analysis provides insights into the genomics and extracellular expression ofVirulence · 2025Article
- Expression ofmBio · 2025Article
- Phosphate sensing by PhoPR regulates the cytotoxicity ofMicrobiology (Reading, England) · 2025Article
- In Vitro Immune Response of Mononuclear Cells to Multidrug-ResistantMicroorganisms · 2025Article
- Methicillin-sensitiveMicrobial genomics · 2025Article
- Dissecting the genetic features and evolution ofmSystems · 2024Article
- Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions.Antibiotics (Basel, Switzerland) · 2024Article
- PBP4 is required for serum-induced cell wall thickening and antibiotic tolerance inAntimicrobial agents and chemotherapy · 2024Article
- Infected wound repair correlates with collagen I induction and NOX2 activation by cold atmospheric plasma.NPJ Regenerative medicine · 2024Article
- Genomic analysis ofiScience · 2024Article
- Whole genome sequencing and molecular epidemiology of methicillin-resistant Staphylococcus aureus isolated from patients with bacteraemia in Slovenia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
- Demographic fluctuations in bloodstreamnpj antimicrobials and resistance · 2024Article
- Virulence attributes of successful methicillin-resistantClinical microbiology reviews · 2023Review
- Patterns, Cost, and Immunological Response of MDR vs. Non MDR-Bacteremia: A Prospective Cohort Study.Pathogens (Basel, Switzerland) · 2023Article
30 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors at 5 institutions in 1 country.
Funding
Abstract
The bacterium Staphylococcus aureus is a major human pathogen for which the emergence of antibiotic resistance is a global public health concern. Infection severity, and in particular bacteraemia-associated mortality, has been attributed to several host-related factors, such as age and the presence of comorbidities. The role of the bacterium in infection severity is less well understood, as it is complicated by the multifaceted nature of bacterial virulence, which has so far prevented a robust mapping between genotype, phenotype and infection outcome. To investigate the role of bacterial factors in contributing to bacteraemia-associated mortality, we phenotyped a collection of sequenced clinical S. aureus isolates from patients with bloodstream infections, representing two globally important clonal types, CC22 and CC30. By adopting a genome-wide association study approach we identified and functionally verified several genetic loci that affect the expression of cytolytic toxicity and biofilm formation. By analysing the pooled data comprising bacterial genotype and phenotype together with clinical metadata within a machine-learning framework, we found significant clonal differences in the determinants most predictive of poor infection outcome. Whereas elevated cytolytic toxicity in combination with low levels of biofilm formation was predictive of an increased risk of mortality in infections by strains of a CC22 background, these virulence-specific factors had little influence on mortality rates associated with CC30 infections. Our results therefore suggest that different clones may have adopted different strategies to overcome host responses and cause severe pathology. Our study further demonstrates the use of a combined genomics and data analytic approach to enhance our understanding of bacterial pathogenesis at the individual level, which will be an important step towards personalized medicine and infectious disease management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.