Biology subjects

Orazi, G.

Publications and source records attributed to Orazi, G..

5 recordsLinked to original sources

bioRxiv2025

Evaluation of Enterobacterales carrying Acinetobacter-associated blaOXA genes--United States, 2017-2022

Through their ability to hydrolyze carbapenems, Ambler class D beta-lactamases endanger patients by limiting the clinical efficacy of beta-lactam antimicrobials. Further, plasmid-mediated transmission can increase mobility of carbapenemase genes between bacteria and facilitate their spread between patients. In the United States and elsewhere, the plasmid-mediated Ambler class D carbapenemase genes blaOXA-23-like, blaOXA-24/40-like, and blaOXA-58-like are commonly associated with Acinetobacter species and have rarely been reported outside of this genus. However, multiple recent international reports indicate detection of Enterobacterales isolates carrying Acinetobacter-associated class D carbapenemase genes. This evaluation aimed to provide insight into whether Enterobacterales harboring these class D genes may be circulating undetected in the United States, thereby signaling a need for adapting testing strategies to prioritize the detection of these potentially emerging public health threats. We analyzed whole-genome sequencing data generated through multiple Centers for Disease Control and Prevention (CDC) activities, including testing conducted across the Antimicrobial Resistance Laboratory Network, to determine whether any Enterobacterales isolates sequenced from 2017-2022 harbored Acinetobacter-associated class D carbapenemase genes. Among [~]10,000 predominantly carbapenem-resistant Enterobacterales isolates, we identified only a single Enterobacterales isolate harboring an Acinetobacter-associated class D gene - a Klebsiella pneumoniae isolate harboring a blaOXA-23-like gene. Our findings suggest that blaOXA-23-like, blaOXA-24/40-like, and blaOXA-58-like genes are rare among Enterobacterales isolates sequenced through CDC public health activities in the United States and do not warrant changes to current testing priorities at this time.

microbiology↗

bioRxiv2021

Prediction of prophages and their host ranges in pathogenic and commensal Neisseria species

The genus Neisseria includes two pathogenic species, N. gonorrhoeae and N. meningitidis, and numerous commensal species. Neisseria species frequently exchange DNA with one other, primarily via transformation and homologous recombination, and via multiple types of mobile genetic elements (MGEs). Few Neisseria bacteriophages (phages) have been identified and their impact on bacterial physiology is poorly understood. Furthermore, little is known about the range of species that Neisseria phages can infect. In this study, we used three virus prediction tools to scan 248 genomes of 21 different Neisseria species and identified 1302 unique predicted prophages. Using comparative genomics, we found that many predictions are dissimilar from other prophages and MGEs previously described to infect Neisseria species. We also identified similar predicted prophages in genomes of different Neisseria species. Additionally, we examined CRISPR-Cas targeting of each Neisseria genome and predicted prophage. While CRISPR targeting of chromosomal DNA appears to be common among several Neisseria species, we found that 20% of the prophages we predicted are targeted significantly more than the rest of the bacterial genome in which they were identified (i.e., backbone). Furthermore, many predicted prophages are targeted by CRISPR spacers encoded by other species. We then used these results to infer additional host species of known Neisseria prophages and predictions that are highly targeted relative to the backbone. Together, our results suggest that we have identified novel Neisseria prophages, several of which may infect multiple Neisseria species. These findings have important implications for understanding horizontal gene transfer between members of this genus. IMPORTANCEDrug-resistant Neisseria gonorrhoeae is a major threat to human health. Commensal Neisseria species are thought to serve as reservoirs of antibiotic resistance and virulence genes for the pathogenic species N. gonorrhoeae and N. meningitidis. Therefore, it is important to understand both the diversity of mobile genetic elements (MGEs) that can mediate horizontal gene transfer within this genus, and the breadth of species these MGEs can infect. In particular, few bacteriophages (phages) have been identified and characterized in Neisseria species. In this study, we identified a large number of candidate phages integrated within the genomes of commensal and pathogenic Neisseria species, many of which appear to be novel phages. Importantly, we discovered extensive interspecies targeting of predicted phages by Neisseria CRISPR-Cas systems, which may reflect their movement between different species. Uncovering the diversity and host range of phages is essential for understanding how they influence the evolution of their microbial hosts.

microbiology↗

bioRxiv2020

Pseudomonas aeruginosa enhances the efficacy of norfloxacin against Staphylococcus aureus biofilms

The thick mucus within the airways of individuals with cystic fibrosis (CF) promotes frequent respiratory infections that are often polymicrobial. Pseudomonas aeruginosa and Staphylococcus aureus are two of the most prevalent pathogens that cause CF pulmonary infections, and both have been associated with worse lung function. Furthermore, the ability of P. aeruginosa and S. aureus to form biofilms promotes the establishment of chronic infections that are often difficult to eradicate using antimicrobial agents. In this study, we found that multiple LasR-regulated exoproducts of P. aeruginosa, including HQNO, siderophores, phenazines, and rhamnolipids, likely contribute to the ability of P. aeruginosa to shift S. aureus norfloxacin susceptibility profiles. Here, we observe that exposure to P. aeruginosa exoproducts leads to an increase in intracellular norfloxacin accumulation by S. aureus. We previously showed that P. aeruginosa supernatant dissipates S. aureus membrane potential, and furthermore, depletion of the S. aureus proton-motive force recapitulates the effect of P. aeruginosa supernatant on shifting norfloxacin sensitivity profiles of biofilm-grown S. aureus. From these results, we hypothesize that exposure to P. aeruginosa exoproducts leads to increased uptake of the drug and/or an impaired ability of S. aureus to efflux norfloxacin. Our results illustrate that microbially-derived products can greatly alter the ability of antimicrobial agents to kill bacterial biofilms. ImportancePseudomonas aeruginosa and Staphylococcus aureus are frequently co-isolated from multiple infection sites, including the lungs of individuals with cystic fibrosis (CF) and non-healing diabetic foot ulcers. Co-infection with P. aeruginosa and S. aureus has been shown to produce worse outcomes compared to infection with one organism alone. Furthermore, the ability of these pathogens to form biofilms enables them to cause persistent infection and withstand antimicrobial therapy. In this study, we found that P. aeruginosa-secreted products dramatically increase the ability of the antibiotic norfloxacin to kill S. aureus biofilms. Understanding how interspecies interactions alter the antibiotic susceptibility of bacterial biofilms may inform treatment decisions and inspire the development of new therapeutic strategies.

microbiology↗

bioRxiv2019

Pseudomonas aeruginosa increases the sensitivity of biofilm-grown Staphylococcus aureus to membrane-targeting antiseptics and antibiotics

Pseudomonas aeruginosa and Staphylococcus aureus often cause chronic, recalcitrant infections in large part due to their ability to form biofilms. The biofilm mode of growth enables these organisms to withstand antibacterial insults that would effectively eliminate their planktonic counterparts. We found that P. aeruginosa supernatant increased the sensitivity of S. aureus biofilms to multiple antimicrobial compounds, including fluoroquinolones and membrane-targeting antibacterial agents, including the antiseptic chloroxylenol. Treatment of S. aureus with the antiseptic chloroxylenol alone did not decrease biofilm cell viability; however, the combination of chloroxylenol and P. aeruginosa supernatant led to a 4-log reduction in S. aureus biofilm viability compared to exposure to chloroxylenol alone. We found that the P. aeruginosa-produced small molecule 2-n-heptyl-4-hydroxyquinoline N-oxide (HQNO) is responsible for the observed heightened sensitivity of S. aureus to chloroxylenol. Similarly, HQNO increased the susceptibility of S. aureus biofilms to other compounds, including both traditional and non-traditional antibiotics, which permeabilize bacterial membranes. Genetic and phenotypic studies support a model whereby HQNO causes an increase in S. aureus membrane fluidity, thereby improving the efficacy of membrane-targeting antiseptics and antibiotics. Importantly, our data show that P. aeruginosa exoproducts can enhance the ability of various antimicrobial agents to kill biofilm populations of S. aureus that are typically difficult to eradicate, providing a path for the discovery of new biofilm-targeting antimicrobial strategies.\n\nImportanceThe thick mucus in the airways of cystic fibrosis (CF) patients predisposes them to frequent, polymicrobial respiratory infections. Pseudomonas aeruginosa and Staphylococcus aureus are frequently co-isolated from the airways of individuals with CF, as well as from diabetic foot ulcers and other wounds. Both organisms form biofilms, which are notoriously difficult to eradicate and promote chronic infection. In this study, we have shown P. aeruginosa secreted factors can increase the efficacy of compounds that alone have little or no bactericidal activity against S. aureus biofilms. In particular, we discovered that P. aeruginosa exoproducts can potentiate the anti-staphylococcal activity of phenol-based antiseptics and other membrane-active drugs, including non-traditional antibiotics. Our findings illustrate that polymicrobial interactions can dramatically increase antibacterial efficacy in vitro, and may guide new approaches to target persistent infections, such as those commonly found in respiratory tract infections and in chronic wounds.

microbiology↗

bioRxiv2019

Metabolic Modeling of Cystic Fibrosis Airway Communities Predicts Mechanisms of Pathogen Dominance

Cystic fibrosis (CF) is a fatal genetic disease characterized by chronic lung infections due to aberrant mucus production and the inability to clear invading pathogens. The traditional view that CF infections are caused by a single pathogen has been replaced by the realization that the CF lung usually is colonized by a complex community of bacteria, fungi and viruses. To help unravel the complex interplay between the CF lung environment and the infecting microbial community, we developed a community metabolic model comprised of the 17 most abundant bacterial taxa, which account for >95% of reads across samples, from three published studies in which 75 sputum samples from 46 adult CF patients were analyzed by 16S rRNA gene sequencing. The community model was able to correctly predict high abundances of the \"rare\" pathogens Enterobacteriaceae, Burkholderia and Achromobacter in three patients whose polymicrobial infections were dominated by these pathogens. With these three pathogens were removed, the model correctly predicted that the remaining 43 patients would be dominated by Pseudomonas and/or Streptococcus. This dominance was predicted to be driven by relatively high monoculture growth rates of Pseudomonas and Streptococcus as well as their ability to efficiently consume amino acids, organic acids and alcohols secreted by other community members. Sample-by-sample heterogeneity of community composition could be qualitatively captured through random variation of the simulated metabolic environment, suggesting that experimental studies directly linking CF lung metabolomics and 16S sequencing could provide important insights into disease progression and treatment efficacy.\n\nImportanceCystic fibrosis (CF) is a genetic disease in which chronic airway infections and lung inflammation result in respiratory failure. CF airway infections are usually caused by bacterial communities that are difficult to eradicate with available antibiotics. Using species abundance data for clinically stable adult CF patients assimilated from three published studies, we developed a metabolic model of CF airway communities to better understand the interactions between bacterial species and between the bacterial community and the lung environment. Our model predicted that clinically-observed CF pathogens could establish dominance over other community members across a range of lung nutrient conditions. Heterogeneity of species abundances across 75 patient samples could be predicted by assuming that sample-to-sample heterogeneity was attributable to random variations in the CF nutrient environment. Our model predictions provide new insights into the metabolic determinants of pathogen dominance in the CF lung and could facilitate the development of improved treatment strategies.

microbiology↗