PubMed · 6192704
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D J Pounder. 1983. Warthin-Starry for Legionella.. https://doi.org/10.1093/ajcp%2F80.2.276
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Quantitative risk assessments intended to inform evidence-based water management plans and public health targets for Legionella in engineered water systems are constrained by fragmented and heterogeneous growth and inactivation kinetics. We conducted a meta-analysis of 25 growth and 39 thermal- and chemical-inactivation studies, fitting microbial persistence models to harmonize parameters. Nonlinear models outperformed first-order formulations, indicating that lag phases and resistant or protected subpopulations are central to Legionella persistence. Random forest analysis identified environmental and methodological drivers of variability based on 226 growth rates and reduction times for thermal (209) and chemical (135) inactivation. Growth was primarily governed by temperature, nutrient availability, and compatible Legionella-host pairings; thermal inactivation by quantification method, temperature, and turbidity; and chemical inactivation by inoculum size, disinfectant type, concentration, and host-associations. Accordingly, temperature-dependent growth parameters and exposure metrics for heat, free-chlorine, and monochloramine, expressed as TT (Temperature×time) and CT (Concentration×time), were derived as condition-specific inputs for predictive models. Growth optima around 37-40 °C, together with lag-time estimates, indicate that hot-water temperature setbacks and energy-saving practices may favor Legionella proliferation under repeated or prolonged lukewarm exposure. Culture- and viability-based TT differences highlight the need to consider viable‑but-non-culturable persistence in monitoring programs. CT comparisons suggest monochloramine may be advantageous because of its lower apparent sensitivity to host-associated protection. Although limited by restricted experimental conditions, the findings show that predictive models should account for microbial ecology, water matrix effects, and quantification endpoints. Future kinetic studies should prioritize realistic multi-host systems, strain pre-adaptation, complementary viability measurements, and standardized protocols and reporting to ensure reproducibility and enable robust system-level predictive modeling.
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Legionella is a common cause of community-acquired respiratory tract infections and occasionally causes nosocomial pneumonia. Rapid and accurate detection of legionellae is important for diagnosis and treatment of patients. In order to detect legionellae, a new DNA amplification method was designed and evaluated. Loop-mediated isothermal amplification (LAMP) method amplifies DNA with high specificity, sensitivity, and rapidity under isothermal conditions at 65 degrees C. This method employs a DNA polymerase with strand displacement activity and a set of four specially designed primers that recognize a total of six distinct sequences on the target DNA. The primers targeting 16S rRNA gene were designed in order to detect a wide range of Legionella species. We could specifically detect Legionella species including Legionella pneumophila, Legionella anisa, Legionella bozemanii, Legionella dumoffii, Legionella erythra, Legionella feeleii, Legionella gormanii, Legionella longbeachae, Legionella micdadei, Legionella oakridgensis, and Legionella sainthelensi. The detection limit of the assay was 6 cfu per test of L. pneumophila strain. Furthermore, all of the positive LAMP results could be obtained within 50 minutes. The LAMP method was able to detect a wide range of Legionella species with high specificity, sensitivity, rapidity, and a simple procedure.