ArticlemSystems
Identification of Pathogenicity-Associated Loci in Klebsiella pneumoniae from Hospitalized Patients.
Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.
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- Influence of pancreaticoduodenectomy for periampullary carcinoma on intestinal microbiome and metabolites.Heliyon · 2024Article
- Hypervirulent Klebsiella pneumoniae detection methods: a minireview.Archives of microbiology · 2023Review
- The Klebsiella pneumoniaeInfection and immunity · 2023Article
- A new approach to overcoming antibiotic-resistant bacteria: Traditional Chinese medicine therapy based on the gut microbiota.Frontiers in cellular and infection microbiology · 2023Review
- The making of hypervirulent Klebsiella pneumoniae.Journal of clinical laboratory analysis · 2022Review
- Capsule type defines the capability of Klebsiella pneumoniae in evading Kupffer cell capture in the liver.PLoS pathogens · 2022Article
- Urinary Tract Infections Caused byFrontiers in cellular and infection microbiology · 2022Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Despite insights gained through experimental models, the set of bacterial genes important for human infection is unclear for many of our most threatening pathogens. Klebsiella pneumoniae is a leading cause of health care-associated infections (HAIs) and commonly colonizes hospitalized patients, but the factors that determine whether a particular isolate causes disease or remains a colonizer are poorly understood. To identify bacterial genes associated with K. pneumoniae infection, a case-control study was performed comparing infected and asymptomatic colonized patients. Comparative bacterial genomics was combined with a conditional logit model that identified patient factors differentiating cases from controls. This method identified five gene loci associated with infection after adjustment for patient factors, including a psicose sugar utilization locus that was validated as a fitness factor during mouse lung infection. These results indicate that bacterial genome-wide association studies of patients can identify loci associated with HAIs and important in infection models.
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Registered trials
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