Rapid evaluation of hepatocellular carcinoma by detecting plasma exosomes with time-resolved fluorescence immunochromatographic test strips.

Time-resolved fluorescence immunochromatographic test strips (TRFIS) was developed for the rapid detection of hepatocellular carcinoma (HCC)-specific plasma exosomes (hExos) by targeting the hExo-surface membrane protein glypican-3 (GPC3). The GPC3-TRFIS could directly detect plasma exosomes without the isolation and purification process, and the whole immunoassay could be completed within 15 min. The visual detection limit of GPC3-TRFIS was 3.

p62 Binding to Protein Kinase C Regulates HIV-1 gp120 V3 Loop Induced Microglial Inflammation.

The main pathogenic mechanism of HIV-associated neurocognitive disorders (HAND) is neuronal apoptosis induced by inflammatory mediators, in which microglial inflammation plays a crucial role. However, the exact pathogenic mechanism remains unclear. Previous studies have shown that the HIV-1 gp120 V3 loop can trigger inflammation in CHME-5 microglia.

Efficient Orthogonal Spin Labeling of Proteins via Aldehyde Cyclization for Pulsed Dipolar EPR Distance Measurements.

Pulsed dipolar electron paramagnetic resonance (PD-EPR) measurement is a powerful technique for characterizing the interactions and conformational changes of biomolecules. The extraction of these distance restraints from PD-EPR experiments relies on manipulation of spin-spin pairs. The orthogonal spin labeling approach offers unique advantages by providing multiple distances between different spin-spin pairs.

Quantitative evaluation of the efficacy and safety of first-line systemic therapies for advanced hepatocellular carcinoma.

Objectives: This study aimed to quantitatively evaluate the efficacy and safety of first-line systemic therapies for treating advanced hepatocellular carcinoma (aHCC).

Methods: The study included clinical trials of first-line systemic therapies for aHCC since the approval of sorafenib in 2007. Hazard function models were used to describe changes in overall survival (OS) and progression-free survival (PFS) over time.

Machine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity.

Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis of these alloys becomes increasingly challenging as the disparity between the metal elements grows, due to differences in atomic sizes, melting points, and chemical affinities. This study utilized a data-driven approach incorporating sample balancing enhancement techniques and multilayer perceptron (MLP) algorithms to improve the model's ability to handle imbalanced data, significantly boosting the efficiency of experimental parameter optimization.