Introduction: The location of buprenorphine treatment providers in the United States is pivotal to the understanding of regional factors associated with prescription and uptake. We evaluated how distinct data sources of treatment providers and their associated locations contribute to the differences observed when measuring buprenorphine accessibility.
Methods: We compared buprenorphine treatment provider data from the Drug Enforcement Administration (DEA) and data from the behavioral health treatment locator from the Substance Abuse and Mental Health Services Administration (SAMHSA) for July 2022.
Am J Physiol Gastrointest Liver Physiol
January 2025
The interplay between diet-induced obesity and gastrointestinal dysfunction is an evolving area of research with far-reaching implications for understanding the gutbrain axis interactions. In their study, Ramírez-Maldonado et al. employ a cafeteria (CAF) diet model to investigate the effects on gut microbiota, enteric nervous system (ENS) integrity and function, and gastrointestinal motility in mice.
View Article and Find Full Text PDFMouse embryonic fibroblasts (MEFs) derived from genetically modified mice are a valuable resource for studying gene function and regulation. The MEF system can also be combined with rescue studies to characterize the function of mutant genes/proteins, such as disease-causing variants. However, primary MEFs undergo senescence soon after isolation and passaging, making long-term genetic manipulations difficult.
View Article and Find Full Text PDFPyruvate dehydrogenase kinase-1 (PDK1) plays a crucial role in cancer cell metabolism by regulating the glycolytic pathway. Although, inhibitors targeting PDK1 have been effective in inhibiting glycolysis in multiple cancers, their lack of selectivity leading to off-target effects limit their therapeutic benefit. Herein, we investigated the inhibitory potential of six PDK1 inhibitors on cellular proliferation, migration, and invasion of androgen-sensitive LNCaP and androgen-negative PC-3 prostate cancer cells.
View Article and Find Full Text PDFHere, we present a protocol to generate dual-target compounds (DT-CPDs) interacting with two distinct target proteins using a transformer-based chemical language model. We describe steps for installing software, preparing data, and pre-training the model on pairs of single-target compounds (ST-CPDs), which bind to an individual protein, and DT-CPDs. We then detail procedures for assembling ST- and corresponding DT-CPD data for specific protein pairs and evaluating the model's performance on hold-out test sets.
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