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The COVID-19 global pandemic has underscored the need to understand how viruses and other pathogens are able to infect and replicate within the respiratory system. Recent studies have highlighted the role of highly O-glycosylated mucins in the protection of the respiratory system as well as how mucin-type O-glycosylation may be able to modify viral infectivity. Therefore, we set out to identify the specific genes controlling mucin-type O-glycosylation throughout the mouse respiratory system as well as determine how their expression and the expression of respiratory mucins is influenced by infection or injury. Here, we show that certain mucins and members of the Galnt family are abundantly expressed in specific respiratory tissues/cells and demonstrate unique patterns of O-glycosylation across diverse respiratory tissues. Moreover, we find that the expression of certain Galnts and mucins is altered during lung infection and injury in experimental mice challenged with infectious agents, toxins, and allergens. Finally, we examine gene expression changes of Galnts and mucins in a mouse model of SARS-CoV-2 infection. Our work provides foundational knowledge regarding the specific expression of Galnt enzyme family members and mucins throughout the respiratory system, and how their expression is altered upon lung infection and injury.
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http://dx.doi.org/10.1093/glycob/cwad031 | DOI Listing |
BMC Glob Public Health
September 2025
Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya.
Background: Between November 2023 and March 2024, coastal Kenya experienced another wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections detected through our continued genomic surveillance. Herein, we report the clinical and genomic epidemiology of SARS-CoV-2 infections from 179 individuals (a total of 185 positive samples) residing in the Kilifi Health and Demographic Surveillance System (KHDSS) area (~ 900 km).
Methods: We analyzed genetic, clinical, and epidemiological data from SARS-CoV-2 positive cases across pediatric inpatient, health facility outpatient, and homestead community surveillance platforms.
Eur Radiol Exp
September 2025
Center for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Background: Fetal MRI is increasingly used to investigate fetal lung pathologies, and super-resolution (SR) algorithms could be a powerful clinical tool for this assessment. Our goal was to investigate whether SR reconstructions result in an improved agreement in lung volume measurements determined by different raters, also known as inter-rater reliability.
Materials And Methods: In this single-center retrospective study, fetal lung volumes calculated from both SR reconstructions and the original images were analyzed.
Nat Aging
September 2025
Aging Biomarker Consortium (ABC), Beijing, China.
The global surge in the population of people 60 years and older, including that in China, challenges healthcare systems with rising age-related diseases. To address this demographic change, the Aging Biomarker Consortium (ABC) has launched the X-Age Project to develop a comprehensive aging evaluation system tailored to the Chinese population. Our goal is to identify robust biomarkers and construct composite aging clocks that capture biological age, defined as an individual's physiological and molecular state, across diverse Chinese cohorts.
View Article and Find Full Text PDFHandb Exp Pharmacol
September 2025
Tsinghua University, Beijing, China.
The μ-opioid receptor (μOR) is the primary drug target of opioid analgesics such as morphine and fentanyl. Activation of μORs in the central nervous system inhibits ascending pain signaling to the cortex, thereby producing analgesic effects. However, the clinical use of opioid analgesics is severely limited by adverse side effects, including respiratory depression, constipation, addiction, and the development of tolerance.
View Article and Find Full Text PDFEMBO Rep
September 2025
Max Planck Unit for the Science of Pathogens, Berlin, D-10117, Germany.
The sensing of Gram-negative Extracellular Vesicles (EVs) by the innate immune system has been extensively studied in the past decade. In contrast, recognition of Gram-positive EVs by innate immune cells remains poorly understood. Comparative genome-wide transcriptional analysis in human monocytes uncovered that S.
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