Propensity Score Matching Analysis for Alcohol-Related Liver Disease.

Objectives: This study aims to investigate the impact of comorbidity with chronic hepatitis B (CHB) on the survival rates and incidence of liver cancer in patients with alcohol-related liver disease (ARLD).

Methods: Patients with ARLD and those with ARLD co-morbid with CHB were included in this study and designated as the ARLD group and the ARLD + HBV group, respectively. Propensity score matching (PSM) was then employed to compare survival rates and liver cancer development between these two groups.

Reviving the Lieb-Schultz-Mattis theorem in open quantum systems.

In closed systems, the celebrated Lieb-Schultz-Mattis (LSM) theorem states that a one-dimensional locally interacting half-integer spin chain with translation and spin rotation symmetries cannot have a non-degenerate gapped ground state. However, the applicability of this theorem is diminished when the system interacts with a bath and loses its energy conservation. In this letter, we propose that the LSM theorem can be revived in the entanglement Hamiltonian when the coupling to the bath renders the system short-range correlated.

Impacts of Copper Deficiency on Oxidative Stress and Immune Function in Mouse Spleen.

Introduction: Copper is an essential trace element crucial for enzyme synthesis and metabolism. Adequate copper levels are beneficial for maintaining the normal immune function of the spleen. Copper deficiency disrupts the metabolic processes within the spleen and impairs its immune function.

Genetic Commonalities Between Metabolic Syndrome and Rheumatic Diseases Through Disease Interactome Modules.

This study aims to elucidate the potential genetic commonalities between metabolic syndrome (MetS) and rheumatic diseases through a disease interactome network, according to publicly available large-scale genome-wide association studies (GWAS). The analysis included linkage disequilibrium score regression analysis, cross trait meta-analysis and colocalisation analysis to identify common genetic overlap. Using modular partitioning, the network-based association between the two disease proteins in the protein-protein interaction set was divided and quantified.