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Background: The European Multicentre Bronchiectasis Audit and Research Collaboration (EMBARC) registry shows considerable variation in culturable microbes in sputum between different European countries. The additive role of next-generation metagenomic sequencing remains unexplored and the association with antimicrobial resistomes unknown.
Methods: We used next-generation shotgun metagenomic sequencing to prospectively assess sputum from 349 individuals recruited into the EMBARC Bronchiectasis Research Involving Databases, Genomics and Endotyping (BRIDGE) study from three European regions: Northern and Western Europe, Southern Europe and the UK. Samples were included from eight European countries. Microbiome and resistome profiles were assessed in relation to clinical outcomes.
Results: Next-generation metagenomic sequencing reproduced differences between countries in microbial profiles that were previously shown by culture in the EMBARC study. Metagenomics provided enhanced detection for some bronchiectasis pathogens, including , and . Three metagenomic microbial clusters dominated by the genera , and demonstrated pan-European but variable distribution. Diverse resistomes, linked to underlying microbiomes, were identified across Europe, with significantly higher diversity of resistance gene determinants in Southern Europe. Resistome composition significantly differed between regions, characterised by regionally contrasting multidrug-resistant profiles. The EMBARC-BRIDGE cohort validated established bronchiectasis resistotypes RT1 and RT2, which occur at varying frequency across regions. Despite geographic variation in microbiome and resistome profiles in bronchiectasis across Europe, analogous antimicrobial resistance gene profiles associated with the key bronchiectasis genera , and , independent of country or region.
Conclusion: Sputum metagenomics confirms and extends prior observations of regional variation in bronchiectasis microbiology. Important variation in the distribution of pathogens and antimicrobial resistance genes has implications for antimicrobial practices across Europe.
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http://dx.doi.org/10.1183/13993003.00054-2025 | DOI Listing |
Background: Actinomyces graevenitzii is a relatively uncommon Actinomyces species, which is an oral species and predominantly recovered from respiratory locations [1,2]. It is a gram-positive anaerobic bacteria or microaerobic filamentation bacteria, which can induce pyogenic and granulomatous inflammation characterized by swelling and concomitant pus, sinus formation, and the formation of yellow sulfur granules. All tissues and organs can be infected; the most common type involves the neck and face (55%), followed by the abdominal and pelvic cavities (20%).
View Article and Find Full Text PDFAPMIS
September 2025
Laboratory of Parasitology, Department of Bacteria, Parasites and Fungi, Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Clinical microbiology involves the detection and differentiation of primarily bacteria, viruses, parasites and fungi in patients with infections. Billions of people may be colonised by one or more species of common luminal intestinal parasitic protists (CLIPPs) that are often detected in clinical microbiology laboratories; still, our knowledge on these organisms' impact on global health is very limited. The genera Blastocystis, Dientamoeba, Entamoeba, Endolimax and Iodamoeba comprise CLIPPs species, the life cycles of which, as opposed to single-celled pathogenic intestinal parasites (e.
View Article and Find Full Text PDFBrain Behav
September 2025
Department of Neurosurgery, First Medical Center of the Chinese PLA General Hospital, Beijing, People's Republic of China.
Background: The gut microbiota plays a crucial role in the development of glioma. With the evolution of artificial intelligence technology, applying AI to analyze the vast amount of data from the gut microbiome indicates the potential that artificial intelligence and computational biology hold in transforming medical diagnostics and personalized medicine.
Methods: We conducted metagenomic sequencing on stool samples from 42 patients diagnosed with glioma after operation and 30 non-intracranial tumor patients and developed a Gradient Boosting Machine (GBM) machine learning model to predict the glioma patients based on the gut microbiome data.
Medicine (Baltimore)
September 2025
Department of Infectious Diseases, Third People's Hospital of Chengdu, Chengdu, China.
Rationale: Japanese spotted fever (JSF) is a rare tick-borne disease caused by Rickettsia japonica. Atypical manifestations and a lack of standardized diagnostic assays often result in delayed diagnosis and treatment, potentially leading to life-threatening complications.
Patient Concerns: A 57-year-old immunocompetent female from a region with no previously reported JSF cases presented with acute-onset high-grade fever (39.
Medicine (Baltimore)
September 2025
Department of Spinal Surgery, The First Hospital of Jilin University, ChangChun, Jilin Province, China.
Rationale: Nocardia spp. are opportunistic pathogens that invade the human body via respiratory inhalation or direct skin wounds. Spinal nocardial osteomyelitis is a rare disease with only a few cases reported to date.
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