Biology subjects

Cuthbertson, L.

Publications and source records attributed to Cuthbertson, L..

8 recordsLinked to original sources

bioRxiv2024

Microbiome diversity, intra-mucosal bacteria and immune integration within normal and asthmatic airway mucosa

Asthma is characterized by reduced bronchial bacterial diversity and airway mucosal disruption. We examined spatial distributions of microbial sequences and host mucosal transcripts in bronchial biopsies from healthy controls and adult asthmatics. Bacteria were discovered by 16S ribosomal RNA staining in the lamina propria of all biopsies, with counts positively associated to lumenal bacterial diversity. Weighted correlation network analysis identified fifteen co-expression networks, including distinct programs of adaptive and innate immunity in differing spatial distributions. Stromal bacterial counts correlated significantly with eight of the network eigenvectors in directions compatible with beneficial relationships. The results suggest that dysbiosis may affect mucosal immunity through impaired interactions beneath the epithelial border. Intra-mucosal companion bacteria may be a potential substrate for selective management of immunity in a wide range of diseases. One-Sentence SummaryThe lung microbiome extends within the airway mucosa and associates spatially and functionally with immune networks.

microbiology↗

bioRxiv2023

A Fungal Spore Calendar for England: Analysis of 13 years of Daily Concentrations at Leicester, UK

BackgroundFungal respiratory allergy is believed to affect up to 30% of hayfever sufferers and up to 70% of severe asthmatics in the UK, however trends in fungal spore seasonality are not well described. Information about seasonal trends would help allergists determine sources of fungal sensitisation and aid disease management. MethodDaily monitoring was carried out at Leicester from 2007 to 2020 using a Burkard volumetric spore trap. Fungal spore concentrations were analysed by microscopy, identifying 23 morphologically distinct taxa. Daily average concentrations were calculated as spores/m3 of air sampled and a 90% method used to determine the spore seasons. ResultsThirteen years of data were used to develop a fungal spore calendar for the nine most abundant spore types identified; Alternaria, Cladosporium, Didymella, Leptosphaeria, Sporobolomyces, Tilletiopsis and Ustilago plus the wider groupings of Aspergillus/Penicillium type and coloured basidiospores. All have been implicated in fungal allergy. We observed long seasons for, Cladosporium, Sporobolomyces and Tilletiopsis, beginning in late spring and ending in late autumn. In contrast Ustilago and the highly allergenic Alternaria showed relatively short seasons, spanning summer and early autumn. Temperature and precipitation were the main meteorological factors related to spore concentration with wind speed appearing to have little influence. Over the study period, there was a reducing trend for total spore concentrations, driven by a reduction in "wet weather" spores, in line with a reduction in precipitation. Conversely, the "dry weather" spores of Alternaria and Cladosporium demonstrated an increasing trend. ConclusionWe present an aeroallergen calendar to provide readily accessible information to patients, healthcare professionals and pharmaceutical companies on exposure concentrations over the year in central England and potentially more widely across the UK. More research on allergenic thresholds would enhance the clinical usefulness of aeroallergen calendars.

ecology↗

bioRxiv2023

Antimicrobial peptide glatiramer acetate targets Pseudomonas aeruginosa lipopolysaccharides to breach membranes without altering lipopolysaccharide modification

Antimicrobial peptides (AMPs) are key components of innate immunity across all kingdoms of life. Both natural and synthetic AMPs are receiving renewed attention in the efforts to combat the antimicrobial resistance (AMR) crisis and the loss of antibiotic efficacy. The gram-negative pathogen Pseudomonas aeruginosa is one of the most concerning infectious bacteria in AMR, particularly in people with cystic fibrosis (CF) where respiratory infections are difficult to eradicate and are associated with increased morbidity and mortality. Cationic AMPs exploit the negative charge of lipopolysaccharides (LPS) on P. aeruginosa to bind to and disrupt the bacterial membrane(s) and cause lethal damage. P. aeruginosa modifies its LPS, via environmental or genetic factors, to neutralise the charge of the cell and evade AMP killing. Free-LPS is also a component of CF sputum, as is anionic extracellular DNA (eDNA), each of which can bind AMPs by electrostatic interaction. Both free LPS and eDNA also feed into pro-inflammatory cycles. Glatiramer acetate (GA) is a random peptide co-polymer of glycine, lysine, alanine, and tyrosine and used as drug in the treatment of multiple sclerosis (MS); we have previously shown GA to be an AMP which synergises with tobramycin against P. aeruginosa from CF, functioning via bacterial membrane disruption. Here, we demonstrate direct binding and sequestration/neutralisation of P. aeruginosa LPS in keeping with GAs ability to disrupt the outer membrane. Binding and neutralisation of eDNA was also seen. At CF-relevant concentrations, however, neither strongly inhibited membrane disruption by GA. Furthermore, in both type strains and clinical CF isolates of P. aeruginosa, exposure to GA did not result in increased modification of the Lipid A portion of LPS or in increased expression of genetically encoded systems involved in AMP sensing and LPS modification. With this low selective pressure on P. aeruginosa for known AMP resistance mechanisms, the potential to neutralise pro-inflammatory CF sputum components, as well as the previously described enhancement of antibiotic function, GA is a promising candidate for drug repurposing.

microbiology↗

bioRxiv2022

Genomic and ecologic characteristics of the airway microbial-mucosal complex

SO_SCPLOWUMMARYC_SCPLOWO_SCPCAP C_SCPCAPO_SCPLOWPARAGRAPHC_SCPLOWLung diseases due to infection and dysbiosis affect hundreds of millions of people world-wide1-4. Microbial communities at the airway mucosal barrier are conserved and highly ordered5, reflecting symbiosis and co-evolution with human host factors6. Freed of selection to digest nutrients for the host, the airway microbiome underpins cognate management of mucosal immunity and pathogen resistance. We show here the results of the first systematic culture and whole-genome sequencing of the principal airway bacterial species, identifying abundant novel organisms within the genera Streptococcus, Pauljensenia, Neisseria and Gemella. Bacterial genomes were enriched for genes encoding antimicrobial synthesis, adhesion and biofilm formation, immune modulation, iron utilisation, nitrous oxide (NO) metabolism and sphingolipid signalling. RNA-targeting CRISPR elements in some taxa suggest the potential to prevent or treat specific viral infections. Homologues of human RO60 present in Neisseria spp. provide a possible respiratory primer for autoimmunity in systemic lupus erythematosus (SLE) and Sjogren syndrome. We interpret the structure and biogeography of airway microbial communities from clinical surveys in the context of whole-genome content, identifying features of airway dysbiosis that may presage breakdown of homeostasis during acute attacks of asthma and chronic obstructive pulmonary disease (COPD). We match the gene content of isolates to human transcripts and metabolites expressed late in airway epithelial differentiation, identifying pathways that can sustain host interactions with the microbiota. Our results provide a systematic basis for decrypting interactions between commensals, pathogens, and mucosal immunity in lung diseases of global significance.

microbiology↗

bioRxiv2022

Machine learning for exploring microbial inter-kingdom associations in Cystic Fibrosis and Bronchiectasis

BackgroundCystic fibrosis (CF) and non-CF bronchiectasis (BX) are characterised by severe chronic infections. Fungal and bacterial components of infection are both recognized. Little however is known about how fungal and bacterial organisms interact and whether these interactions impact on disease outcomes. MethodsQuantitative PCR and next-generation sequencing of ITS2 and 16S rRNA gene was carried out on 107 patients with CF or BX with clinically defined fungal infection status for all patients. The relationship between fungal and bacterial community composition was extensively explored using: random forest modelling, correlation network analysis, multi-omics factor analysis, and sample-wise clustering, to understand associations both within and between the microbial communities and their relationship to respiratory disease. ResultsRandom forest modelling demonstrated distinct fungal and bacterial communities within CF and BX patients. The inclusion of both kingdoms in the models did not improve discrimination between the two diseases. Within the CF patients, bacterial community composition was independent of clinical fungal disease status. Bacterial and fungal communities did not relate to the presence of CF pulmonary exacerbations (CFPE). Correlation network analysis found intra-kingdom interactions were predominant in the data. Multi-omics factor analysis (MOFA) revealed latent factors corresponding to single kingdoms. Thus, in the bacterial community we identified two distinct clusters characterised by the presence or absence of Pseudomonas-domination. This was independent of fungal community which was characterised by a second set of independent clusters dominated by Saccharomycetes. ConclusionsIn this study we were unable to detect clear evidence of clinically significant inter-kingdom interactions between the bacterial and fungal communities. While further work is required to fully understand microbial interaction within the lung, our data suggests that interkingdom interactions may not be the primary driver of patient outcomes, particularly in the context of fungal infection.

molecular biology↗

bioRxiv2019

Distinctive airway microbial ecology of smokers and asthmatics

BackgroundNormal airway microbial communities play a central role in respiratory health but are poorly characterized. Cigarette smoking is the dominant global environmental influence on lung function, and asthma has become the most prevalent chronic respiratory disease worldwide. Both conditions have major microbial components that are also poorly defined. MethodsWe investigated airway bacterial communities in a general population sample of 529 Australian adults. Posterior oropharyngeal swabs were analysed by sequencing of the 16S rRNA and methionine aminopeptidase genes. The microbiota were characterised according to their prevalence, abundance, and network memberships. FindingsMicrobial communities were similar across the population and were strongly organized into co-abundance networks. Smoking associated with diversity loss, negative effects on abundant taxa, profound alterations to network structure and expansion of Streptococcus spp. By contrast, the asthmatic microbiota were selectively affected by an increase in Neisseria spp. and by reduced numbers of low abundance but prevalent organisms. InterpretationOur study shows healthy airway microbiota are contained within a highly structured ecosystem, indicating balanced relationships between the microbiome and human host factors. The marked abnormalities in smokers may be pathogenic for chronic obstructive pulmonary disease (COPD) and lung cancer. The narrow spectrum of abnormalities in asthmatics encourages investigation of damaging and protective effects of specific bacteria. FundingThe study was funded by the Asmarley Trust and a Wellcome Senior Investigator Award to WOCC and MFM (P46009). The Busselton Healthy Ageing Study is supported by the Government of Western Australia (Office of Science, Department of Health) the City of Busselton, and private donations.

ecology↗

bioRxiv2018

Haemophilus, antibiotic therapy and the airway microbiome in chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a smoking-related illness affecting 64 million people worldwide. Airway infection drives recurrent exacerbations and lung function decline. Prophylactic antibiotics may prevent exacerbations but their use is a significant cause of population antimicrobial resistance.\n\nWe characterised the sputum microbiome by 16S rRNA gene analysis using 138 samples collected during a randomised controlled trial of prophylactic antibiotics in 71 patients with stable COPD. On comparing the profile of the microbiome obtained by sequencing to the isolates grown from samples using standard culture, there were similarities overall, although with a much narrower spectrum of genera on culture with under-representation of certain genera including Veillonella and Prevotella. There was concordance in the most abundant genera within samples and the number of isolates cultured reflected the measured bacterial diversity.\n\nWe found that at baseline the microbiota of 17 (24%) patients were dominated by Haemophilus influenzae, accompanied by narrowed microbial diversity and higher levels of sputum inflammatory cytokines. Different H. influenzae strains co-existed within individuals. Opportunistic whole genome sequencing of six H. influenzae isolates obtained during the study revealed that all were non-typeable H. influenzae (NTHI), with a range of different antibiotic resistance gene profiles, but an identical complement of virulence genes.\n\nAdministration of 13 weeks prophylaxis with moxifloxacin, azithromycin or doxycycline revealed distinctive changes in microbial communities for each group. Haemophilus numbers reduced by 90% compared to placebo only after moxifloxacin, and significant reduction in sputum cytokines occurred in patients dominated by Haemophilus at baseline. Haemophilus influenzae dominance defines COPD patients with active disease who may particularly benefit from antibiotics or vaccination.

microbiology↗

bioRxiv2017

The impact of persistent bacterial bronchitis on the pulmonary microbiome of children

AbstractPersistent bacterial bronchitis is a leading cause of chronic wet cough in young children. This study aimed to characterise the respiratory bacterial microbiota of healthy children and to assess the impact of the changes associated with the development of persistent bacterial bronchitis.\n\nBlind, protected brushings were obtained from 20 healthy controls and 24 children with persistent bacterial bronchitis, with an additional directed sample obtained from persistent bacterial bronchitis patients. DNA was extracted, quantified using a 16S rRNA gene quantitative PCR assay prior to microbial community analysis by 16S rRNA gene sequencing.\n\nNo significant difference in bacterial diversity or community composition (R2 = 0.01, P = 0.36) was observed between paired blind and non-blind brushes, showing that blind brushings are a valid means of accessing the airway microbiota. This has important implications for collecting lower respiratory samples from healthy children. A significant decrease in bacterial diversity (P < 0.001) and change in community composition (R2 = 0.08, P = 0.004) was observed between controls and patients. Bacterial communities within patients with PBB were dominated by Proteobacteria, and indicator species analysis showed that Haemophilus and Neisseria were significantly associated with the patient group. In 15 (52.9%) cases the dominant organism by sequencing was not identified by standard routine clinical culture.\n\nThe bacteria present in the lungs of patients with persistent bacterial bronchitis were less diverse in terms of richness and evenness. The results validate the clinical diagnosis, and suggest that more attention to bacterial communities in children with chronic cough may lead to more rapid recognition of this condition with earlier treatment and reduction in disease burden.

genomics↗