In the framework of the EC labelling guide, three categories were devised for carcinogenic as well as for mutagenic chemicals. In short, category 1 is for compounds shown to produce these effects in man, whereas category 2 is meant to contain substances that should be regarded as such, generally on the basis of sufficient experimental data. Category 3 is for compounds that cause concern but for which the evidence is not sufficient for 1 or 2. These general statements have been implemented, both for carcinogenicity and mutagenicity, by a set of criteria and considerations of the group of "specialized experts" who are supporting the "national experts" in deciding upon the classification of individual compounds. Essentially, this classification relies on the strength of the experimental or epidemiological evidence rather than on considerations of risk. In other words, it is based on proven intrinsic properties of the substances. Compared to the IARC classification for carcinogens, the EC criteria rely more on mechanistic data and on qualitative considerations concerning the relevance for man, and less on a strict count of the amount of positive experimental evidence. Difficulties of this (and any) classification system include: (1) the problem of classifying with limited data and (2) the fundamental problem involved in forcing sets of multi-facetted, and often unsatisfactory, scientific data into a simple one-dimensional scheme that may have huge economic consequences.
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http://dx.doi.org/10.1016/0378-4274(92)90187-o | DOI Listing |
J Addict Dis
January 2025
Departments of Anesthesiology and Perioperative Medicine and Pharmacology, Penn State College of Medicine, Hershey, PA, USA.
Opioid use disorder (OUD) is associated with a reduction in brain white matter, affecting critical areas involved in decision-making, impulse control, and reward processing. The FDA has approved several drugs and natural compounds that enhance myelination, targeting oligodendrocyte progenitor cells (OPCs), directly enhancing oligodendrocyte (OL) function, or acting as cofactors for myelin production. This retrospective case study aimed to assess whether current clinical evidence supports the use of myelin-enhancing agents to promote remission in OUD.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran.
Oxazolidine is a new category of stimuli-chromic compounds that has unique intelligent behaviors such as halochromism, hydrochromism, solvatochromism, and ionochromism, all of which have potential applications for designing and constructing chemosensors by using functionalized-polymer nanocarriers. Here, the poly(MMA--HEMA) based nanoparticles were synthesized by emulsion copolymerizing methyl methacrylate (MMA) and 2-hydroxyethyl methacrylate (HEMA) in different copolymer compositions. The poly(MMA--HEMA) based nanoparticles were modified physically with tertiary amine-functionalized oxazolidine (as an intelligent pH-responsive organic dye) to prepare halochromic latex nanoparticles.
View Article and Find Full Text PDFJ Food Sci
January 2025
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China.
Whole-grain foods (WGFs) constitute a large part of humans' daily diet, making risk identification of WGFs important for health and safety. However, existing research on WGFs has paid more attention to revealing the effects of a single hazardous substance or various hazardous substances on food safety, neglecting the mutual influence between individual hazardous substances and between hazardous substances and basic information. Therefore, this paper proposes a causal inference of WGFs' risk based on a generative adversarial network (GAN) and Bayesian network (BN) to explore the mutual influence between hazardous substances and basic information.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Global Security Computing Applications Division, Lawrence Livermore National Laboratory, Livermore, CA, United States.
Introduction: Recent advances in 3D structure-based deep learning approaches demonstrate improved accuracy in predicting protein-ligand binding affinity in drug discovery. These methods complement physics-based computational modeling such as molecular docking for virtual high-throughput screening. Despite recent advances and improved predictive performance, most methods in this category primarily rely on utilizing co-crystal complex structures and experimentally measured binding affinities as both input and output data for model training.
View Article and Find Full Text PDFJ Chromatogr A
January 2025
Shanghai Engineering Research Center of Organ Repair, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair (Ministry of Education), School of Medicine, Shanghai University, Shanghai 200444, China; Shanghai Key Laboratory of Bio-Energy Crops, School of Life Sciences, Shanghai University, Shanghai 200444, China. Electronic address:
Chirality is a fundamental property in nature, and chiral molecules are closely related to human health and the origin of life. Therefore, the exploration and preparation of optically active compounds of paramount importance. Membrane separation is a large-scale and continuous separation technique that has been developing quickly in recent years.
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