The Association of Persistent Hyperuricemia With Liver Function and the Management of Uric Acid Levels: Insights From a Three-Year Prospective Cohort Study.

Objective: The association of long-term hyperuricemia with liver function remains less well understood. This prospective cohort study aimed to investigate the relationship between hyperuricemia and liver function as well as other metabolic and cardiovascular parameters.

Methods: We enrolled 375 participants with hyperuricemia and 599 normouricemic controls.

Radiologist, trainee, and logistical factors impacting the timeliness of CTA head and neck reporting in stroke code activations.

Background And Purpose: Timely reporting of CTA exams impacts management of acute vascular pathology such as large vessel occlusions, arterial dissection, and ruptured aneurysm as well as a variety of acute non-vascular pathologies. In this study, we examine potential modifiable factors impacting the timeliness of CTA reporting performed in stroke code activations.

Materials And Methods: Observational study of stroke code CTA head and neck exams performed at a single health system (3 emergency departments, 1550 inpatient beds) over four years (1/1/2019-12/31/2023).

Self-Assembly Nanomedicine Initiating Cancer-Immunity Cycle with Cascade Reactions for Boosted Immunotherapy.

Immune checkpoint blockade (ICB) therapy has been extensively integrated into cancer clinical management. However, its overall response rate is limited due to the stagnating cancer-immunity cycle (CIC) caused by the immunosuppressive tumor microenvironment (TME). Here, a multi-pronged nanomedicine, defined as LCCS, was constructed by the self-assembly of lactate oxidase, catalase, chlorin e6, and sorafenib.

Fungi on the cuticle surface increase the resistance of Aedes albopictus to deltamethrin.

Aedes albopictus (Ae. albopictus) is widely distributed and can transmit many infectious diseases, and insecticide-based interventions play an important role in vector control. However, increased insecticide resistance has become a severe public health problem, and the clarification of its detailed mechanism is a matter of urgence.

Identify characteristics of Vietnamese oral squamous cell carcinoma patients by machine learning on transcriptome and clinical-histopathological analysis.

Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.

Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.