JAK Inhibitor Upadacitinib Induces Remission in Refractory Immune-Related Colitis Triggered by CTLA-4 and PD-1 Inhibitor Combination Therapy in Malignant Pleural Mesothelioma: A Case Report.

Background: Immune checkpoint inhibitors have demonstrated efficacy against various cancers; however, there is a rising incidence of immune-related colitis. Some cases of immune-related colitis prove resistant to treatment, even with the administration of glucocorticoids or infliximab, and there is currently no established standard treatment for such cases.

Case: The patient, a 73-year-old male, had undergone combination therapy for malignant pleural mesothelioma for 2 years, utilizing both ipilimumab (a CTLA-4 inhibitor) and nivolumab (a PD-1 inhibitor).

A Practical Method for Predicting Compound Brain Concentration-Time Profiles: Combination of PK Modeling and Machine Learning.

Given the aging populations in advanced countries globally, many pharmaceutical companies have focused on developing central nervous system (CNS) drugs. However, due to the blood-brain barrier, drugs do not easily reach the target area in the brain. Although conventional screening methods for drug discovery involve the measurement of (unbound fraction of drug) brain-to-plasma partition coefficients, it is difficult to consider nonequilibrium between plasma and brain compound concentration-time profiles.

Midterm Clinical Outcomes after Isolated Surgical and Transcatheter Aortic Valve Replacement in Low-Risk Patients with Aortic Stenosis.

Purpose: This study aimed to compare the clinical outcomes of isolated surgical aortic valve replacement (SAVR) and transfemoral (TF)-transcatheter aortic valve replacement (TAVR) in low-risk aortic stenosis (AS) patients.

Methods: A total of 696 low-risk (Society of Thoracic Surgeons score <4%) AS patients underwent isolated SAVR or TF-TAVR at five centers. After 1:1 propensity score matching, 159 pairs were identified.

Prediction of Inhibitory Activity against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning Models.

Renal secretion plays an important role in excretion of drug from the kidney. Two major transporters known to be highly involved in renal secretion are MATE1/2 K and OCT2, the former of which is highly related to drug-drug interactions. Among published in silico models for MATE inhibitors, a previous model obtained a ROC-AUC value of 0.