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The Secretin receptor (SCTR) presents a promising path for hypertension management, with KSD179019 as identified as a Positive Allosteric Modulator (PAM) of SCTR, demonstrating anti-hypertensive effects in animal models. Our objective was to comprehensively evaluate the potential toxicity of KSD179019 through in vitro and in vivo investigations. Initial in vitro studies showed minimal toxicity in liver and kidney cells and non-mutagenicity in bacterial assays.

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Report on the mutagenicity of flavone derivatives and their contribution to advancing scientific knowledge.

Proc Jpn Acad Ser B Phys Biol Sci

December 2024

Graduate Division of Nutritional and Environmental Sciences, University of Shizuoka, Shizuoka, Japan.

Flavonoids, such as quercetin and kaempferol, and their glycosides, are widely distributed in vegetables and fruits. Sugimura, T. et al.

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Ames mutagenicity of 15 aryl, benzyl, and aliphatic ring N-nitrosamines.

Regul Toxicol Pharmacol

December 2024

National Institute of Health Sciences (NIHS), 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki City, Kanagawa, 210-9501, Japan.

The Ames mutagenicity test is an effective means of screening compounds for their carcinogenic potential. Here, we conducted Ames tests on 15 aryl, benzyl, and aliphatic ring N-nitrosamines. Then, by using two indicators of mutagenicity strength calculated from the Ames test results, namely, maximum specific activity (MSA; number of revertant colonies) and maximum fold increase (MFI; relative ratio of increased colonies), we examined the relationship between Ames mutagenicity strength and Carcinogenic Potency Categorization Approach (CPCA) potency category, which is a structure-activity-relationship-based prediction of the carcinogenic potency of nitrosamines.

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Background: Today, many research groups in the world are struggling to fully understand the mechanisms leading to the carcinogenesis of hazardous mineral fibres, like asbestos, in view of devising effective cancer prevention strategies and therapies. Along this research line, our work attempts the completion of a model aimed at evaluating how, and to what extent, physical-crystal-chemical and morphological parameters of mineral fibres prompt adverse effects leading to carcinogenesis.

Methods: toxicology tests that deliver information on the 10 key characteristics of carcinogens adopted by the International Association for Research on Cancer (IARC) have been systematically collected for a commercial chrysotile, standard UICC crocidolite and wollastonite.

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The development of classification-based machine-learning models for the toxicity assessment of chemicals associated with plastic packaging.

J Hazard Mater

November 2024

Drug Theoretics and Cheminformatics (DTC) Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India. Electronic address:

Assessing chemical toxicity in materials like plastic packaging is critical to safeguarding public health. This study presents the development of classification-based machine learning models to predict the toxicity of chemicals associated with plastic packaging. Using an extensive dataset of chemical structures, we trained multiple machine learning models-Random Forest, Support Vector Machine, Linear Discriminant Analysis, and Logistic Regression-targeting endpoints such as Neurotoxicity, Hepatotoxicity, Dermatotoxicity, Carcinogenicity, Reproductive Toxicity, Skin Sensitization, and Toxic Pneumonitis.

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