Vitamin D alleviates HFD-induced hepatic fibrosis by inhibiting DNMT1 to affect the TGFβ1/Smad3 pathway.

Increasing evidence points toward vitamin D (VD) having lipometabolism and immune-related properties to protect against related metabolic diseases through influencing DNA methylation with inconsistent results. Simultaneously, its relatively precise molecular metabolism on the progression of metabolic-associated fatty liver disease (MAFLD) remains uncertain. Here, we report an unprecedented role and possible mechanism for VD supplementation on the alleviation of high-fat diet (HFD)-induced MAFLD.

Imbalance of early-life vitamin D intake targets ROS-mediated crosstalk between mitochondrial dysfunction and differentiation potential of MSCs associated the later obesity.

Background: Obesity is characterized by excessive fat accumulation, which is related with abnormal pluripotency of mesenchymal stem cells (MSCs). Recently, there is growing evidence that the disorder of maternal vitamin D (VD) intake is a well-known risk factor for long-term adverse health outcomes to their offspring. Otherwise, less is known of its repercussion and underlying mechanisms on the different differentiation potential of MSCs.

Stimulated Human Umbilical Cord Mesenchymal Stem Cells Enhance the Osteogenesis and Cranial Bone Regeneration through IL-32 Mediated P38 Signaling Pathway.

Objective: Our previous study found that it could significantly increase the expression of IL32 after stimulating the human umbilical cord mesenchymal stem cells (S-HuMSCs). However, its role on the osteogenesis and cranial bone regeneration is still largely unknown. Here, we investigated the possible mechanism of this effect.

Fair classification domain adaptation: A dual adversarial learning approach.

Modern machine learning (ML) models are becoming increasingly popular and are widely used in decision-making systems. However, studies have shown critical issues of ML discrimination and unfairness, which hinder their adoption on high-stake applications. Recent research on fair classifiers has drawn significant attention to developing effective algorithms to achieve fairness and good classification performance.

Objective Recognition of Tinnitus Location Using Electroencephalography Connectivity Features.

Tinnitus is a common but obscure auditory disease to be studied. This study will determine whether the connectivity features in electroencephalography (EEG) signals can be used as the biomarkers for an efficient and fast diagnosis method for chronic tinnitus. In this study, the resting-state EEG signals of tinnitus patients with different tinnitus locations were recorded.