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Biomedical subjects

Patrick C Seed

Publications and source records attributed to Patrick C Seed.

2 recordsLinked to original sources

HDAC6 inhibition reduces Pseudomonas aeruginosa adherence and internalization in cystic fibrosis epithelial cells via microtubule stabilization.

Pseudomonas aeruginosa is a common opportunistic pathogen that causes chronic lung infections in individuals with cystic fibrosis. Despite advances in therapies that restore cystic fibrosis transmembrane conductance regulator function, persistent colonization of the airway remains a major clinical challenge. Reduced clearance of P. aeruginosa from the cystic fibrosis airway has been associated with the increased activity of histone deacetylase 6 (HDAC6), a cytoplasmic deacetylase that decreases microtubule acetylation and stability. In this study, we investigated the role of HDAC6 in modulating interactions between P. aeruginosa and cystic fibrosis airway epithelial cells. Pharmacologic inhibition of HDAC6 significantly reduced bacterial adherence in both mouse and human cystic fibrosis epithelial cells. Genetic deletion of HDAC6 produced similar effects, while knockout of a microtubule-stabilizing protein increased bacterial adherence, mimicking the cystic fibrosis phenotype. HDAC6 inhibition also reduced bacterial internalization, although to a lesser extent compared to adherence. These results suggest that microtubule destabilization contributes to the enhanced colonization of cystic fibrosis airways by P. aeruginosa. Targeting host microtubule regulatory pathways, particularly by inhibiting HDAC6, may represent a promising host-directed strategy to limit early bacterial attachment and reduce the risk of chronic infection in cystic fibrosis.

Pseudomonas aeruginosa

Transitions in lung microbiota landscape associate with distinct patterns of pneumonia progression.

The precise microbial determinants driving clinical outcomes in severe pneumonia are unknown. Competing ecological forces produce dynamic microbiota states in health and disease, and a more thorough understanding of these states has the potential to improve pneumonia therapy. Here, we leverage a large collection of bronchoscopic samples from patients with suspected pneumonia to determine lung microbial ecosystem dynamics throughout the course of pneumonia. We combine 16S rRNA gene, metagenomic, and metatranscriptomic sequencing with bacterial-load quantification to reveal clinically relevant drivers of pneumonia progression. Microbiota states are predictive of pneumonia subtypes and exhibit differential stability and pneumonia therapy response. Disruptive forces, such as aspiration, are associated with cohesive changes in gene expression and microbial community structure. In summary, we show that host and microbiota landscapes change in unison with clinical phenotypes and that microbiota state dynamics reflect pneumonia progression. We suggest that distinct pathways of lung microbial community succession mediate pneumonia progression.

Humans