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Size-Dependent Separation of Extracellular Vesicle Subtypes with Exodisc Enabling Proteomic Analysis in Prostate Cancer.
J Proteome Res
January 2025
Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
Extracellular vesicles (EVs) are emerging as crucial biomarkers in cancer diagnostics and therapeutics with their heterogeneity presenting both challenges and opportunities in prostate cancer research. However, existing methods for isolating and characterizing EV subtypes have been limited by inefficient separation and inadequate proteomic analysis. Here we show an optimized centrifugal microfluidic device, Exodisc, that efficiently isolates large quantities of EV subtypes from particle-enriched medium, enabling comprehensive proteomic analysis of small (EV-S, 20-200 nm) and large (EV-L, >200 nm) EVs.
View Article and Find Full Text PDFVacuolated Parabasal Cells in Papanicolaou Smears Are Cellular Changes Caused by Human Papillomavirus 16 Infection.
J Med Virol
February 2025
Department of Medical Technology, Faculty of Health Sciences, Kyorin University, Tokyo, Japan.
In cervical cancer screening, cytology is used as a triage test to refer high-risk human papillomavirus (HR-HPV)-positive women for colposcopy, but its accuracy is inadequate. The present study aimed to demonstrate that the presence of atypical cells with large vacuoles in the cytoplasm of parabasal cells, referred to as vacuolated parabasal cells (VPCs), which are observed in the Pap smears of HPV-positive women, is associated with specific HPV genotypes. Among 2175 patients, 310 with a single HR-HPV infection and cytological diagnosis of high-grade squamous intraepithelial lesions (HSIL) or atypical squamous cells not excluding HSIL (ASC-H) were included, of which 86 were infected with HPV16.
View Article and Find Full Text PDFGlycan-Matchmade Multivalent Decoration of Enzyme Labels for Amplified Electrochemical Detection of Glycoproteins.
Anal Chem
January 2025
Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials and Devices, Guangdong Engineering Technology Research Center for Sensing Materials and Devices, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China.
Glycoproteins are of significant value to liquid biopsy of human diseases. Herein, we present a universal electrochemical platform for the amplified detection of glycoproteins, taking advantage of the glycan-matchmade multivalent decoration of enzyme labels for the enzymatic signal amplification. Briefly, the glycan-matchmade multivalent decoration involves two steps, i.
View Article and Find Full Text PDFUsing Anal Cytology and Human Papillomavirus DNA and E6/E7 mRNA Detection to Optimize High-Resolution Anoscopy Referrals in Men Who Have Sex With Men With HIV.
Open Forum Infect Dis
January 2025
HIV and STD Unit, Infectious Diseases Department, Bellvitge University Hospital/Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat, Barcelona, Spain.
Background: This study was conducted to evaluate screening procedures for anal high-grade squamous intraepithelial lesions (HSILs) with anal liquid-based cytology (aLBC) and biomarkers to identify candidates for high-resolution anoscopy (HRA).
Methods: This cross-sectional study included men who have sex with men with HIV. Participants underwent HRA, aLBC, and biomarker testing.
Early detection of canine hemangiosarcoma via cfDNA fragmentation and copy number alterations in liquid biopsies using machine learning.
Front Vet Sci
January 2025
GenesisEgo, Seoul, Republic of Korea.
Hemangiosarcoma is a highly malignant tumor commonly affecting canines, originating from endothelial cells that line blood vessels, underscoring the importance of early detection. This canine cancer is analogous to human angiosarcoma, and the development of liquid biopsies leveraging cell-free DNA (cfDNA) represents a promising step forward in early cancer diagnosis. In this study, we utilized Whole Genome Sequencing (WGS) to analyze fragment sizes and copy number alterations (CNAs) in cfDNA from 21 hemangiosarcoma-affected and 36 healthy dogs, aiming to enhance early cancer detection accuracy through machine learning models.
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