Objective: To evaluate the usefulness of metagenomic analysis in the search for causative organisms of bacterial endophthalmitis.
Methods And Analysis: Twenty-one consecutive treatment-naïve patients (13 men and 8 women; mean age, 60.8±19.8 years) with suspected endophthalmitis were recruited. Vitrectomy was performed to diagnose and treat endophthalmitis. Bacterial culture and metagenomic analysis of the vitreous body were performed. Extracted DNA was analysed using 16S rRNA sequences, and libraries were sequenced on an Illumina MiSeq sequencer. To compare the bacterial composition in each case, α and β diversities were determined.
Results: Patients were categorised into three groups: endophthalmitis cases with matching predominant organisms according to metagenomic analysis and bacterial culture, those with negative results for bacterial culture and those with negative results in both cases. In 7 of 15 culture-negative cases, results from metagenomic analysis could detect pathogens. The diversity of bacterial populations was significantly lower in the group with positive results for predominant bacteria according to culture and metagenomic analysis. All patients with uveitis were included in the group for which the causative pathogen could not be determined by culture or metagenomic analysis. The structures of bacterial populations significantly differed between the positive and negative groups by culture and metagenomic analysis.
Conclusions: Metagenomic analysis could be useful for prompt detection of causative pathogens, for precise diagnosis of infection, and as a marker of inflammation processes such as uveitis.
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http://dx.doi.org/10.1136/bmjophth-2023-001342 | DOI Listing |
Virology
December 2024
Institute for Vaccine Research and Development, Hokkaido University, Sapporo, 001-0021, Japan; Department of Disease Control, School of Veterinary Medicine, The University of Zambia, Lusaka, 10101, Zambia; One Health Research Center, Hokkaido University, Sapporo, 060-0818, Japan; International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, 001-0020, Japan; Africa Center of Excellence for Infectious Diseases of Humans and Animals, The University of Zambia, Lusaka, 10101, Zambia. Electronic address:
Rotavirus C (RVC) causes acute gastroenteritis in neonatal piglets. Despite the clinical importance of RVC infection, the distribution and prevalence in pig populations in most African countries remains unknown. In this study, we identified RVC in Zambian pigs by metagenomic analysis.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Hebei Key Laboratory of Close-to-Nature Restoration Technology of Wetlands, School of Eco-Environment, Hebei University, Baoding, 071002, China; Engineering Research Center of Ecological Safety and Conservation in Beijing-Tianjin-Hebei (Xiong'an New Area) of MOE, China. Electronic address:
Waste activated sludge (WAS) pose a potential risk for the spread of antibiotic resistance genes (ARGs). This study estimated the effect of sludge on antibiotic resistance genes (ARGs) in anaerobic sludge digestion process. Metagenomic analysis revealed anaerobic sludge with potassium ferrate (PF) and the modified PF loaded steel slag (MPF-SS) brought an increase of ARGs during digestion process.
View Article and Find Full Text PDFMicrobiome
January 2025
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Background: Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity present significant challenges. Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored.
View Article and Find Full Text PDFPhytopathology
January 2025
Virginia Polytechnic Institute and State University, School of Plant and Environmental Science, Blacksburg, Virginia, United States;
Microb Genom
January 2025
Quadram Institute Bioscience, Norwich Research Park, Norwich, UK.
A diverse array of micro-organisms can be found on food, including those that are pathogenic or resistant to antimicrobial drugs. Metagenomics involves extracting and sequencing the DNA of all micro-organisms on a sample, and here, we used a combination of culture and culture-independent approaches to investigate the microbial ecology of food to assess the potential application of metagenomics for the microbial surveillance of food. We cultured common foodborne pathogens and other organisms including , spp.
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