is the highly transmissible etiologic agent of pertussis, a severe respiratory disease that causes particularly high morbidity and mortality in infants and young children. Commonly known as "whooping cough," pertussis is one of the least controlled vaccine-preventable diseases worldwide with several countries experiencing recent periods of resurgence despite broad immunization coverage. While current acellular vaccines prevent severe disease in most cases, the immunity they confer wanes rapidly and does not prevent sub clinical infection or transmission of the bacterium to new and vulnerable hosts. The recent resurgence has prompted new efforts to generate robust immunity to in the upper respiratory mucosa, from which colonization and transmission originate. Problematically, these initiatives have been partially hindered by research limitations in both human and animal models as well as potent immunomodulation by Here, we consider our incomplete understanding of the complex host-pathogen dynamics occurring in the upper airway to propose new directions and methods that may address critical gaps in research. We also consider recent evidence that supports the development of novel vaccines specifically designed to generate robust mucosal immune responses capable of limiting upper respiratory colonization to finally halt the ongoing circulation of
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http://dx.doi.org/10.3389/fimmu.2023.1126107 | DOI Listing |
Chem Biodivers
January 2025
St Xavier's College, Kolkata, Department of Chemistry, 30, Mother teresa Sarani, Kol-16, 700016, Kolkata, INDIA.
Amino-quinolines are potential candidates that may provide some insight into the current chemotherapeutic research due to their demonstrated anti-cancer activity. This led us to synthesize and explore a new amino-azo-quinoline ligand H2L 1 and its square planar nickel(II) complexes [Ni(HL)(OAc)], 2 and [Ni(HL)Cl], 3 and the structures were determined by SCXRD. Theoretical investigation of redox orbitals of the complexes discloses that the reduction process is due to ligand reduction whereas both metal and ligand are contributing towards oxidation.
View Article and Find Full Text PDFEur J Health Econ
January 2025
Department of Business Administration and Health Care Management, Faculty of Management, Economics and Social Sciences, University of Cologne, Cologne, Germany.
Introduction: Cesarean deliveries account for approximately one-third of all births in Germany, prompting ongoing discussions on cesarean section rates and their connection to medical staffing and birth volume. In Germany, the majority of departments integrate obstetric and gynecological care within a single department.
Methods: The analysis utilized quality reports from German hospitals spanning 2015 to 2019.
Virchows Arch
January 2025
Department of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Low-grade endometrial stromal sarcoma (LG-ESS) can present diagnostic challenges, due to its overlapping morphological features with other uterine mesenchymal tumors. Misdiagnosis rates remain significant, and immunohistochemical data for LG-ESS are limited to small series and inconsistent antibody panels. This study aimed to refine the IHC profile of LG-ESS by analyzing a large, molecularly confirmed series of 147 cases using a panel of 24 antibodies, including newer markers like transgelin and smoothelin.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Materdicine Lab, School of Life Sciences, Shanghai University, 200444 Shanghai, P. R. China.
The presence of a substantial necrotic core in atherosclerotic plaques markedly heightens the risk of rupture, a consequence of elevated iron levels that exacerbate oxidative stress and lipid peroxidation, thereby sustaining a detrimental cycle of ferroptosis and inflammation. Concurrently targeting both ferroptosis and inflammation is crucial for the effective treatment of vulnerable plaques. In this study, we introduce gallium hexacyanoferrate nanoabsorption catalysts (GaHCF NACs) designed to disrupt this pathological cycle.
View Article and Find Full Text PDFRadiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
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