The human formyl peptide receptor (FPR) is N-glycosylated and activates phagocytes via G(i)-proteins. The FPR expressed with G(i)alpha(2)beta(1)gamma(2) in Sf9 insect cells exhibits high constitutive activity as assessed by strong inhibitory effects of an inverse agonist and Na(+) on basal guanosine 5(')-O-(3-thiotriphosphate) (GTPgammaS) binding. The aim of our study was to analyze the role of N-glycosylation in FPR function. Site-directed mutagenesis of extracellular Asn residues prevented FPR glycosylation but not FPR expression in Sf9 membranes. However, in terms of high-affinity agonist binding, kinetics of GTPgammaS binding, number of G(i)-proteins activated, and constitutive activity, non-glycosylated FPR was much less active than native FPR. FPR-Asn4Gln/Asn10Gln/Asn179Gln and FPR-Asn4Gln/Asn10/Gln exhibited similar defects. Our data indicate that N-glycosylation of N-terminal Asn4 and Asn10 but not of Asn179 in the second extracellular loop is essential for proper folding and, hence, function of FPR. FPR deglycosylation by bacterial glycosidases could be a mechanism by which bacteria compromise host defense.
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http://dx.doi.org/10.1016/s0006-291x(03)00023-8 | DOI Listing |
Eur J Obstet Gynecol Reprod Biol
January 2025
Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China. Electronic address:
Objective: First trimester cervical angles for the prediction of spontaneous preterm birth (sPTB) remains unclear. The objective is to explore the potential value of first trimester cervical angles for the prediction of sPTB.
Study Design: This was a secondary analysis of data derived from a prospective cohort study for sPTB screening in singleton pregnancies at 11 + 0-13 + 6 weeks in women attending routine Down's syndrome screening at Prince of Wales Hospital, Hong Kong SAR, between June 2018 and July 2020.
Cell Commun Signal
January 2025
Department of Biosciences and Medical Biology, Paris-Lodron University Salzburg, Hellbrunner Strasse 34, Salzburg, 5020, Austria.
FLT3 mutations occur in approximately 25% of all acute myeloid leukemia (AML) patients. While several FLT3 inhibitors have received FDA approval, their use is currently limited to combination therapies with chemotherapy, as resistance occurs, and efficacy decreases when the inhibitors are used alone. Given the highly heterogeneous nature of AML, there is an urgent need for novel targeted therapies that address the disease from multiple angles.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.
The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.
View Article and Find Full Text PDFMethodsX
June 2025
Department of Networking & Communications, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
Forecasting student performance with precision in the educational space is paramount for creating tailor-made interventions capable to boost learning effectiveness. It means most of the traditional student performance prediction models have difficulty in dealing with multi-dimensional academic data, can cause sub-optimal classification and generate a simple generalized insight. To address these challenges of the existing system, in this research we propose a new model Multi-dimensional Student Performance Prediction Model (MSPP) that is inspired by advanced data preprocessing and feature engineering techniques using deep learning.
View Article and Find Full Text PDFJ Med Syst
January 2025
Department of Pain Medicine, Mayo Clinic, Jacksonville, FL, 32224, USA.
Effective referral triaging enhances patient service outcomes, experience and access to care especially for specialized procedures. This study presents the development and implementation of an automated triaging system to predict patients who would benefit from Spinal Cord Stimulation (SCS) procedure for their pain management. The proposed triage system aims to improve the triage process by reducing unnecessary appointments before SCS assessment, ensuring appropriate pain management care.
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