Organic Anion Transporting Polypeptide (OATP) 1B3 is a Significant Transporter for Hepatic Uptake of Conjugated Bile Acids in Humans.

Background & Aims: OATP1B3/SLCO1B3 is a human liver-specific transporter for the clearance of endogenous compounds (eg, bile acid [BA]) and xenobiotics. The functional role of OATP1B3 in humans has not been characterized, as SLCO1B3 is poorly conserved among species without mouse orthologs.

Methods: Slc10a1-knockout (Slc10a1), Slc10a1 (endogenous mouse Slc10a1 promoter-driven human-SLCO1B3 expression in Slc10a1 mice), and human SLCO1B3 liver-specific transgenic (hSLCO1B3-LTG) mice were generated and challenged with 0.

Hepatic TNFRSF12A promotes bile acid-induced hepatocyte pyroptosis through NFκB/Caspase-1/GSDMD signaling in cholestasis.

Tumor necrosis factor receptor superfamily member-12A (TNFRSF12A) plays a critical role in inflammation and cell death. It is expressed in multiple tissues yet extremely low in normal liver. To date, little is known about its role in cholestasis.

Runt-related transcription factor-1 ameliorates bile acid-induced hepatic inflammation in cholestasis through JAK/STAT3 signaling.

Background And Aims: Bile acids trigger a hepatic inflammatory response, causing cholestatic liver injury. Runt-related transcription factor-1 (RUNX1), primarily known as a master modulator in hematopoiesis, plays a pivotal role in mediating inflammatory responses. However, RUNX1 in hepatocytes is poorly characterized, and its role in cholestasis is unclear.

Ferulic acid regulates miR-17/PTEN axis to inhibit LPS-induced pulmonary microvascular endothelial cells apoptosis through activation of PI3K/Akt pathway.

Acute lung injury (ALI) is mainly mediated by the damage of pulmonary microvascular endothelial cells (PMVECs). LPS is one of the pathogenic factors leading to microcirculatory abnormalities of ALI. Ferulic acid (FA) exhibits therapeutic effects against various diseases.

Robust Least-SquareLocalization Based on Relative Angular Matrix in Wireless Sensor Networks.

Accurate position information plays an important role in wireless sensor networks (WSN), and cooperative positioning based on cooperation among agents is a promising methodology of providing such information. Conventional cooperative positioning algorithms, such as least squares (LS), rely on approximate position estimates obtained from prior measurements. This paper explores the fundamental mechanism underlying the least squares algorithm's sensitivity to the initial position selection and approaches to dealing with such sensitivity.