Healthcare-related Legionnaires’ disease has a devastating impact on high risk patients, with a case fatality rate of 30–50%. Legionella prevention and control in hospitals is therefore crucial. To control Legionella water colonisation in a hospital setting we evaluated the effect of pipeline improvements and temperature increase, analysing 237 samples over a 2-year period (first year: 129, second year: 108). In the first year, 25.58% of samples were positive for Legionella and 16.67% for amoeba. Assessing the distance of the points analysed from the hot water tank, the most distal points presented higher proportion of Legionella colonisation and lower temperatures (nearest points: 6.4% colonised, and temperature 61.4 °C; most distal points: 50% and temperature 59.1 °C). After the first year, the hot water system was repaired and the temperature stabilised. This led to a dramatic reduction in Legionella colonisation, which was negative in all the samples analysed; however, amoeba colonisation remained stable. This study shows the importance of keeping the temperature stable throughout the circuit, at around 60 °C. Special attention should be paid to the most distal points of the circuit; a fall in temperature at these weak points would favour the colonisation and spread of Legionella, because amoeba (the main Legionella reservoir) are not affected by temperature.

The respiratory microbiome may influence the development and progression of COPD by modulating local immune and inflammatory events. We aimed to investigate whether relative changes in respiratory bacterial abundance are also associated with systemic inflammation, and explore their relationship with the main clinical COPD phenotypes. Multiplex analysis of inflammatory markers and transcript eosinophil-related markers were analyzed on peripheral blood in a cohort of stable COPD patients (n = 72). Respiratory microbiome composition was analyzed by 16S rRNA microbial sequencing on spontaneous sputum. Spearman correlations were applied to test the relationship between the microbiome composition and systemic inflammation. The concentration of the plasma IL-8 showed an inverted correlation with the relative abundance of 17 bacterial genera in the whole COPD cohort. COPD patients categorized as eosinophilic showed positive relationships with blood eosinophil markers and inversely correlated with the degree of airway obstruction and the number of exacerbations during the previous year. COPD patients categorized as frequent exacerbators were enriched with the bacterial genera Pseudomonas which, in turn, was positively associated with the severity of airflow limitation and the prior year’s exacerbation history. The associative relationships of the sputum microbiome with the severity of the disease emphasize the relevance of the interaction between the respiratory microbiota and systemic inflammation.

Legionnaires’ disease (LD) is an atypical pneumonia caused by the inhalation of Legionella. The methods used for the diagnosis of LD are direct culture of respiratory samples and urinary antigen detection. However, the sensitivity of culture is low, and the urinary antigen test is specific only for L. pneumophila sg1. Moreover, as no isolates are obtained, epidemiological studies cannot be performed. The implementation of Nested-sequence-based typing (Nested-SBT) makes it possible to carry out epidemiological studies while also confirming LD, especially in cases caused by non-sg 1. Sixty-two respiratory samples from patients with Legionella clinically confirmed by positive urinary antigen tests were cultured and tested by Nested-SBT, following the European Study Group for Legionella Infections (ESGLI) protocol. Only 2/62 (3.2%) respiratory samples were culture-positive. Amplification and sequencing of Nested-SBT genes were successfully performed in 57/62 samples (91.9%). The seven target genes were characterised in 39/57 (68.4%) respiratory samples, and the complete sequence type (ST) was obtained. The mip gene was the most frequently amplified and sequenced. Nested-SBT is a useful method for epidemiological studies in culture-negative samples, achieving a 28.7-fold improvement over the results of culture studies and reducing the time needed to obtain molecular epidemiological results.

Healthcare-related Legionnaires’ disease has a devastating impact on high risk patients, with a case fatality rate of 30-50%. Legionella prevention and control in hospitals is therefore crucial. To control Legionella water colonisation in a hospital setting we evaluated the effect of pipeline improvements and temperature increase, analysing 237 samples over a two-year period (first year: 129, second year: 108). In the first year, 25.58% of samples were positive for Legionella and 16.67% for amoeba. Assessing the distance of the points analysed from the hot water tank, the most distal points presented higher proportion of Legionella colonisation and lower temperatures (nearest points: 6.4% colonised, and temperature 61.4°C; most distal points: 50% and temperature 59.1°C). After the first year, the hot water system was repaired and the temperature stabilised. This led to a dramatic reduction in Legionella colonisation, which was negative in all the samples analysed; however, amoeba colonisation remained stable. This study shows the importance of keeping the temperature stable throughout the circuit, at around 60°C. Special attention should be paid to the most distal points of the circuit; a fall in temperature at these weak points would favour the colonisation and spread of Legionella, because amoeba (the main Legionella reservoir) are not affected by temperature.

Background: Airway microbiome composition in bronchiectasis extends beyond conventional microbiology, but its clinical implications remain unclear. Aim: This study evaluated the airway bacteriome and mycobiome in bronchiectasis, examining their associations with clinical characteristics, inflammatory patterns and disease aetiology. Methods: This study reports the pre-specified baseline cross-sectional analysis from a prospective multicentre cohort of 153 adults with non-CF bronchiectasis studied during clinical stability. Airway bacterial and fungal communities were characterised using 16S rRNA (V3–V4) and ITS2 sequencing. Samples were stratified by dominant bacterial genus, associations with clinical features, inflammatory biomarkers and aetiological subgroups were assessed. LEfSe was used as an exploratory method to identify bacterial genera with differential relative abundance across dominance groups. Results: Pseudomonas -dominant bacteriomes showed the lowest α-diversity, and the strongest associations with disease severity, including poorer lung function, higher BSI scores and elevated sputum inflammatory markers. Haemophilus -dominant communities also correlated with reduced diversity and airway inflammation, although were associated with milder clinical severity compared with Pseudomonas . In contrast, Streptococcus -dominant bacteriomes demonstrated the highest bacterial diversity, enrichment of commensal genera, lower inflammatory marker levels and more favourable clinical features. The mycobiome also contributed to airway ecology: Ascomycota abundance correlated with higher bacterial diversity and lower inflammatory biomarker levels, whereas Basidiomycota dominance was associated with reduced diversity and a pro-inflammatory pattern. Distinct taxa were associated with specific aetiologies, including Rothia and Porphyromonas in immunodeficiencies and Staphylococcus in primary ciliary dyskinesia. Conclusion: Airway microbiome dominance is associated with distinct clinical characteristics and inflammatory patterns in bronchiectasis. In a well-characterised multicentre cohort, integration of bacteriome and mycobiome data with inflammatory and remodelling markers provides external validation of previous observations and may contribute to a better characterisation of disease heterogeneity.