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Viral infections of the central nervous system increase the risk of knee osteoarthritis: a two-sample mendelian randomization study.
Aging Clin Exp Res
January 2025
Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China.
Objective: Osteoarthritis (OA) represents a condition under the influence of central nervous system (CNS) regulatory mechanisms. This investigation aims to examine the causal association between viral infections of the central nervous system (VICNS) and inflammatory diseases of the central nervous system (IDCNS) and knee osteoarthritis (KOA) at the genetic level.
Methods: In this investigation, VICNS and IDCNS were considered as primary exposure variables, while KOA served as the primary outcome.
MAO-B-triggered reaction for an optical triple-signal assay and AND logic gate application based on PEI-functionalized silver nanoparticles.
Mikrochim Acta
January 2025
School of Pharmacy, Lanzhou University, Lanzhou, 730000, P. R. China.
A novel analytical method was designed and developed that exhibited ultraviolet-visible (UV-Vis), fluorescence (FL), and resonance Rayleigh scattering (RRS) signals for straightforward and comprehensive determination of monoamine oxidase B (MAO-B) using polyethylenimine-functionalized silver nanoparticles (PEI-Ag NPs). Through a facile one-step experiment, and NaOH assisted, in an aqueous solution of 100 ℃ for 40 min PEI reacted with AgNO to generate PEI-Ag NPs with a yellow color and weak blue fluorescence. Interestingly, phenylacetaldehyde (PAA), a specific product of MAO-B, causes significant enhancement of the three optical signals of UV-Vis, FL, and RRS.
View Article and Find Full Text PDFAutomated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.
Radiology
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.
View Article and Find Full Text PDFIdentification of (PDZ-RhoGEF) as an in vivo regulator of synapses and cognition.
Proc Natl Acad Sci U S A
January 2025
Department of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI 53706.
Given the influence of cognitive abilities on life outcomes, there is inherent value in identifying genes involved in controlling learning and memory. Further, cognitive dysfunction is a core feature of many neuropsychiatric disorders. Here, we use a combinatory in silico approach to identify human gene targets that will have an especially high likelihood of individually and directly impacting cognition.
View Article and Find Full Text PDFA synthetic biology approach for identifying de-SUMOylation enzymes of substrates.
J Integr Plant Biol
January 2025
Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
A synthetic biology approach using a robust reconstitution system in Escherichia coli enables the identification of plant ubiquitin-like proteases responsible for removing the small ubiquitin-like modifier (SUMO) post-translational modifications from specific protein substrates.
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