Exploring potential multiple molecular biomarkers that predict treatment response in patients with lupus nephritis.

Limited knowledge exists regarding biomarkers that predict treatment response in Lupus nephritis (LN). We aimed to identify potential molecular biomarkers to predict treatment response in patients with LN. We enrolled 66 patients with active LN who underwent renal biopsy upon enrollment.

Comparison of clinical characteristics and outcomes in candidaemia patients with and without COVID-19: a multicentre retrospective study.

Background: Invasive fungal infections have been reported as complications with significant mortality and morbidity in patients hospitalized with COVID-19. This study aimed to evaluate the clinical characteristics and outcomes of candidaemia patients with COVID-19 and to investigate the association between COVID-19 and mortality in candidaemia patients.

Methods: This retrospective study included candidaemia patients aged 18 years or older admitted to four university-affiliated tertiary hospitals in South Korea between January 1, 2020, and December 31, 2022.

Constitutive androstane receptor (CAR) functions as a tumor suppressor via regulating stemness in liver cancer.

Constitutive androstane receptor (CAR) is a xenosensor that is almost exclusively expressed in the liver. Studies in rodents suggest an oncogenic role for CAR in liver cancer, but its role in human liver cancer is unclear. We aimed to investigate the functional roles of CAR in human liver cancer with a focus on the liver cancer stem cells.

Evaluating current status of network pharmacology for herbal medicine focusing on identifying mechanisms and therapeutic effects.

Introduction: Network pharmacology has gained significant traction as a tool for identifying the mechanisms and therapeutic effects of herbal medicines. However, despite the usefulness of these approaches, their diversity underscores the critical need for a systematic evaluation to ensure consistency and reliability.

Objectives: We aimed to evaluate the network pharmacological analyses, focusing on identifying the mechanisms and therapeutic effects of herbal medicines.

Generation of super-resolution images from barcode-based spatial transcriptomics by deep image prior.

Spatially resolved transcriptomics (ST) has revolutionized the field of biology by providing a powerful tool for analyzing gene expression in situ. However, current ST methods, particularly barcode-based methods, have limitations in reconstructing high-resolution images from barcodes sparsely distributed in slides. Here, we present SuperST, an algorithm that enables the reconstruction of dense matrices (higher-resolution and non-zero-inflated matrices) from low-resolution ST libraries.