BACKGROUND Influenza B viruses cause seasonal epidemics of respiratory illness, circulating concurrently with influenza A viruses. However, virological and clinical knowledge of influenza B viruses is less well advanced than for influenza A, and in particular, complications associated with influenza B infection are not as commonly reported. Complications of influenza B infection predominantly include neurological and musculoskeletal pathologies, while a review of the literature shows that bacterial infections associated with influenza B viruses often involve Gram-positive organisms, with a smaller subset featuring Gram-negative species. CASE REPORT In this case report we highlight an uncomplicated infection of the urinary tract by Escherichia coli immediately following influenza B infection, in an otherwise healthy adult white male with no prior history of urinary tract infection or structural abnormalities of the renal tract. CONCLUSIONS Bacterial infections complicating influenza B infection may include organisms not commonly associated with the respiratory system, such as Escherichia coli. In addition, bacterial complications of influenza B infection may affect non-respiratory systems, including the genitourinary tract.
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http://dx.doi.org/10.12659/ajcr.902172 | DOI Listing |
J Inflamm Res
January 2025
Department of Pharmacology, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Background: Chronic kidney disease (CKD) is a progressive condition that arises from diverse etiological factors, resulting in structural alterations and functional impairment of the kidneys. We aimed to establish the Anoikis-related gene signature in CKD by bioinformatics analysis.
Methods: We retrieved 3 datasets from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs), followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) of them, which were intersected with Anoikis-related genes (ARGs) to derive Anoikis-related differentially expressed genes (ARDEGs).
China CDC Wkly
January 2025
Fujian Provincial Center for Disease Control and Prevention, Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou City, Fujian Province, China.
What Is Known About This Topic?: Global human cases of zoonotic influenza A(H5N6) have increased significantly in recent years, primarily due to widespread circulation of clade 2.3.4.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Here, we present Link-Seq, a highly efficient droplet microfluidic method for combined sequencing of antibody-encoding genes and the transcriptome of individual B cells at large scale. The method is based on 3' barcoding of the transcriptome and subsequent single-molecule PCR in droplets, which freely shift the barcode along specific gene regions, such as the antibody heavy- and light-chain genes. Using the immune repertoire of COVID-19 patients and healthy donors as a model system, we obtain up to 91.
View Article and Find Full Text PDFJ Asthma Allergy
January 2025
Department of Thoracic Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
Background: Non-pharmaceutical interventions (NPIs) were widely used during the coronavirus disease 2019 (COVID-19) pandemic, however their impact on acute asthma exacerbations (AEs) is not well studied.
Methods: We had retrospectively collected patients with asthma AEs between 2019 and 2020 and retrieved data from the Chang Gung Research Database, including clinical manifestations, medications, pulmonary function, clinic and emergency department visits and hospitalizations.
Results: A total of 39,108 adult patients with asthma were enrolled, of whom 1502 were eligible for analysis.
Electronic health records (EHRs) contain rich temporal data about infectious diseases, but an optimal approach to identify infections remains undefined. Using the Research Program, we developed computable phenotypes for respiratory viruses by integrating billing codes, prescriptions, and laboratory results within 90-day episodes. Phenotypes computed from 265,222 participants yielded cohorts ranging from 238 (adenovirus) to 28,729 (SARS-CoV-2) cases.
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