The liver is critical to consider during drug development because of its central role in the handling of xenobiotics, a process which often leads to localized and/or downstream tissue injury. Our ability to predict human clinical safety outcomes with animal testing is limited due to species differences in drug metabolism and disposition, while traditional human in vitro liver models often lack the necessary in vivo physiological fidelity. To address this, increasing numbers of liver microphysiological systems (MPS) are being developed, however the inconsistency in their optimization and characterization often leads to models that do not possess critical levels of baseline performance that is required for many pharmaceutical industry applications. Herein we provide a guidance on best approaches to benchmark liver MPS based on 3 stages of characterization that includes key performance metrics and a 20 compound safety test set. Additionally, we give an overview of frequently used liver injury safety assays, describe the ideal MPS model, and provide a perspective on currently best suited MPS contexts of use. This pharmaceutical industry guidance has been written to help MPS developers and end users identify what could be the most valuable models for safety risk assessment.
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http://dx.doi.org/10.1039/c9lc00768g | DOI Listing |
J Med Chem
January 2025
Department of Chemistry, Faculty of the Exact Sciences, Bar-Ilan University, Ramat-Gan, 5290002, Israel.
Data collected from scholars across twenty-three countries over the past decade (2010-2019) reveals a 40% decrease in financial support for medicinal chemistry projects. The decline is especially notable among projects focused on small organic molecules. This drop in grants indicates a troubling trend that could jeopardize future drug development by undermining research in this crucial field.
View Article and Find Full Text PDFDermatol Ther (Heidelb)
January 2025
Department of Dermatology, University of Tsukuba, Tsukuba, Japan.
Introduction: Patients with moderate-to-severe atopic dermatitis (AD), a body surface area (BSA) of ≤ 40%, and an itch numerical rating scale (NRS) score of ≥ 7 ("BARI itch dominant") have been characterized as an important group to consider for the oral janus kinase (JAK) 1/2 inhibitor baricitinib (BARI). Herein we aim to evaluate quality of life (QoL) and functioning outcomes in adult patients with BSA ≤ 40% and itch NRS ≥ 7 at baseline (BL) who received BARI 4 mg in the topical corticosteroid (TCS) combination trial BREEZE-AD7.
Materials: BREEZE-AD7 was a randomized, double-blind, placebo-controlled, parallel-group outpatient study involving adult patients with moderate-to-severe AD who received once-daily placebo or 2-mg or 4-mg BARI in combination with TCS for 16 weeks.
Arch Microbiol
January 2025
College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China.
Lyophyllum decastes is a type of edible and medicinal mushroom with high nutritional value. However, it can be infected by fungi during the fruiting process, which impairs the development of the industry. In this study, one pathogenic fungus was isolated from the diseased fruiting bodies of L.
View Article and Find Full Text PDFBraz J Microbiol
January 2025
Laboratorio de Biocatalizadores y sus Aplicaciones, Instituto de Química Biológica, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo, Uruguay.
Proteases are hydrolases that act on peptide bonds, releasing amino acids and/or oligopeptides, and are involved in essential functions in all organisms. They represent an important segment of the global enzyme market, with applications in the food, leather, detergent, and pharmaceutical industries. Depending on their industrial use, proteases should exhibit high activity under extreme conditions, such as low temperatures, e.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Grain Science and Industry, Kansas State University, Manhattan, Kansas 66506, United States.
Cell-penetrating peptides (CPPs) are short peptides capable of penetrating cell membranes, making them valuable for drug delivery and intracellular targeting. Accurate prediction of CPPs can streamline experimental validation in the lab. This study aims to assess pretrained protein language models (pLMs) for their effectiveness in representing CPPs and develop a reliable model for CPP classification.
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