Comprehensive Analysis Reveals the Potential Diagnostic Value of Biomarkers Associated With Aging and Circadian Rhythm in Knee Osteoarthritis.

Objective: Knee osteoarthritis (KOA) is characterized by structural changes. Aging is a major risk factor for KOA. Therefore, the objective of this study was to examine the role of genes related to aging and circadian rhythms in KOA.

Downregulation of MerTK in circulating T cells of patients with non-proliferative diabetic retinopathy.

Objective: To explore the differential gene expression in peripheral blood immune cells of individuals with type 2 diabetes mellitus (DM), comparing those with and without non-proliferative diabetic retinopathy (NPDR).

Methods: From a pool of 126 potential participants, 60 were selected for detailed analysis. This group included 12 healthy donors (HDs), 22 individuals with DM, and 26 with NPDR.

Global temporal trends and projections of hepatitis B-related cirrhosis among adolescents and young adults from 1990 to 2035: an analysis based on the global burden of disease study 2021.

Background: Chronic hepatitis B and cirrhosis pose significant global health threats. Few studies have explored the disease burden and mortality trend of cirrhosis caused by hepatitis B virus infection among adolescents and young adults (AYAs, aged 15-39 years). This study aimed to assess the disease burden and trends.

IDH-mutant glioma risk stratification via whole slide images: Identifying pathological feature associations.

This article aims to develop and validate a pathological prognostic model for predicting prognosis in patients with isocitrate dehydrogenase (IDH)-mutant gliomas and reveal the biological underpinning of the prognostic pathological features. The pathomic model was constructed based on whole slide images (WSIs) from a training set ( = 486) and evaluated on internal validation set ( = 209), HPPH validation set ( = 54), and TCGA validation set ( = 352). Biological implications of PathScore and individual pathomic features were identified by pathogenomics set ( = 100).