ArticleInfection and immunity2006
Estimating the relative contributions of virulence factors for pathogenic microbes.
Article in Infection and immunity, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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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.
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Who cites it
63 citing papers in PubMed.
- Unexpected Variability in Laboratory and Clinical Assays Used to Quantify Cryptococcus neoformans Polysaccharide.The Journal of infectious diseases · 2026Article
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- Data-driven spatial-temporal framework for exploring the heterogeneity and temporality of sepsis.Chinese medical journal · 2026Review
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- Polymorphic α-Glucans as Structural Scaffolds in Cryptococcus Cell Walls for Chitin, Capsule, and Melanin: Insights FromAngewandte Chemie (International ed. in English) · 2025Article
- Cryptococcus albidus fungemia and probable meningitis in very preterm newborn: a case report and review of the literature.BMC pediatrics · 2025Review
- A Cryptococcus neoformans polysaccharide conjugate vaccine made with filtered polysaccharide elicits protective immunity in mice.Fungal biology · 2025Article
- Effect of insertion of intein to Cryptococcus amylolentus, a nonpathogenic fungus closely related to causative agents of cryptococcosis.Microbial pathogenesis · 2025Article
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- Cell wall melanin impedes growth of theProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Mechanisms and Virulence Factors ofJournal of fungi (Basel, Switzerland) · 2024Review
- Inhibition of Microbicidal Activity of Canine Macrophages DH82 Cell Line by Capsular Polysaccharides fromJournal of fungi (Basel, Switzerland) · 2024Article
- Cryptococcal meningitis.Nature reviews. Disease primers · 2023Review
- Reciprocal modulation of ammonia and melanin production has implications for cryptococcal virulence.Nature communications · 2023Article
- Functional Analysis of the P-Type ATPases Apt2-4 fromJournal of fungi (Basel, Switzerland) · 2023Article
- The Sweet Side of Fungal Infections: Structural Glycan Diversity and Its Importance for Pathogenic Adaptation.Medicines (Basel, Switzerland) · 2022Article
- FasterJournal of fungi (Basel, Switzerland) · 2022Article
- Expanding the Pathogenic Potential Concept To Incorporate Fulminancy, Time, and Virulence Factors.mSphere · 2022Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Many pathogenic microbes have multiple virulence factors that can cause damage to the host and thus contribute to an overall virulence phenotype for that organism. Although current techniques are suitable for demonstrating that a particular microbial characteristic contributes to virulence, no formal approach for defining the relative contributions of multiple virulence factors to overall virulence has been proposed. This paper describes the use of multivariate linear regression to estimate the relative contributions of virulence factors to the overall phenomenon of virulence. The approach is illustrated here with sample calculations of the relative contributions of individual Cryptococcus neoformans and Bacillus anthracis virulence factors to the overall virulence phenotype. These calculations were derived from a small underpowered experimental data set for the fungus and two larger sets of randomly generated data for both microbes. The major limitation of this method is a requirement for large data sets of microbial strains that differ in virulence and virulence factor expression. Multivariate linear regression can be used to identify the relative levels of importance of virulence factors in virulence studies, and this information can be used to prioritize antigen identification for vaccine development and the design of antimicrobial strategies that target virulence mechanisms.
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Registered trials
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