First toxicity profile of aminoindane-based new psychoactive substances: 2-aminoindane (2-AI, CAS: 2975-41-9) and N-Methyl-2-aminoindane (NM-2-AI, CAS: 24445–44–1) – comprehensive prediction of toxicological endpoints important from clinical and forensic perspective using in silico multi- approach

IF 2.7 3区 医学 Q3 TOXICOLOGY
Toxicology in Vitro Pub Date : 2026-01-01 Epub Date: 2025-09-24 DOI:10.1016/j.tiv.2025.106149
Kamil Jurowski , Adrian Frydrych
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引用次数: 0

Abstract

This study provides the first toxicity profile of two aminoindane-based new psychoactive substances (NPS): 2-aminoindane (2-AI) and N-methyl-2-aminoindane (NM-2-AI), using a multi-method in silico approach. Tools including Percepta, ProTox 3.0, ADMETlab 3.0, VEGA QSAR, TEST, QSAR Toolbox, and STopTox were applied to evaluate acute toxicity, systemic organ effects, genotoxicity, skin and eye irritation, and cardiotoxicity. Both compounds were predicted to be acutely toxic via oral, dermal, and inhalation routes. Quantitative LD₅₀ values (rat, oral) ranged from 150 to 560 mg/kg (Percepta), 259.7–112.6 mg/kg (VEGA), and 326–360 mg/kg (ProTox 3.0). Health effect predictions indicated high probabilities of cardiovascular toxicity (2-AI: 80 %, NM-2-AI: 82 %) and pulmonary involvement (66 % and 65 %, respectively). NM-2-AI showed a higher likelihood of genotoxicity (Ames test) with a probability of 66.3 % (ADMETlab), compared to 2-AI (58.7 %). Both substances were predicted to be non-irritant to the eye, but skin irritation was probable for 2-AI (80 %, StopTox) and less so for NM-2-AI (60 %). hERG inhibition risk was low (IC₅₀: 391.7 μM for 2-AI; 126.9 μM for NM-2-AI). The in silico multi-tool strategy yielded convergent and interpretable data, supporting early toxicological characterization. These results are relevant for clinical management of NPS intoxications and for forensic interpretation in the absence of experimental data.

Abstract Image

基于氨基吲哚胺的新型精神活性物质:2-氨基吲哚胺(2-AI, CAS: 2975-41-9)和n -甲基-2-氨基吲哚胺(NM-2-AI, CAS: 24445-44-1)的第一个毒性谱-从临床和法医角度使用硅多方法综合预测毒理学终点很重要。
本研究采用多方法对2-氨基indine (2-AI)和n -甲基-2-氨基indine (NM-2-AI)这两种基于氨基indine的新型精神活性物质(NPS)进行了首次毒性分析。应用Percepta、ProTox 3.0、ADMETlab 3.0、VEGA QSAR、TEST、QSAR工具箱和STopTox等工具评估急性毒性、全身器官效应、遗传毒性、皮肤和眼睛刺激以及心脏毒性。预计这两种化合物通过口服、皮肤和吸入途径具有急性毒性。定量LD₅0值(大鼠,口服)范围为150至560 mg/kg (Percepta), 259.7-112.6 mg/kg (VEGA)和326-360 mg/kg (ProTox 3.0)。健康影响预测表明,心血管毒性(2-AI: 80 %,NM-2-AI: 82 %)和肺部损害(分别为66 %和65 %)的可能性很高。与2-AI(58.7 %)相比,NM-2-AI显示出更高的遗传毒性可能性(Ames试验),概率为66.3% % (ADMETlab)。预测这两种物质对眼睛无刺激性,但2-AI可能对皮肤有刺激性(80% %,StopTox),而NM-2-AI则较少(60% %)。hERG抑制风险低(IC₅₀:391.7 2-AI μM; NM-2-AI 126.9 μM)。计算机多工具策略产生了收敛和可解释的数据,支持早期毒理学表征。这些结果与NPS中毒的临床管理和缺乏实验数据的法医解释相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Toxicology in Vitro
Toxicology in Vitro 医学-毒理学
CiteScore
6.50
自引率
3.10%
发文量
181
审稿时长
65 days
期刊介绍: Toxicology in Vitro publishes original research papers and reviews on the application and use of in vitro systems for assessing or predicting the toxic effects of chemicals and elucidating their mechanisms of action. These in vitro techniques include utilizing cell or tissue cultures, isolated cells, tissue slices, subcellular fractions, transgenic cell cultures, and cells from transgenic organisms, as well as in silico modelling. The Journal will focus on investigations that involve the development and validation of new in vitro methods, e.g. for prediction of toxic effects based on traditional and in silico modelling; on the use of methods in high-throughput toxicology and pharmacology; elucidation of mechanisms of toxic action; the application of genomics, transcriptomics and proteomics in toxicology, as well as on comparative studies that characterise the relationship between in vitro and in vivo findings. The Journal strongly encourages the submission of manuscripts that focus on the development of in vitro methods, their practical applications and regulatory use (e.g. in the areas of food components cosmetics, pharmaceuticals, pesticides, and industrial chemicals). Toxicology in Vitro discourages papers that record reporting on toxicological effects from materials, such as plant extracts or herbal medicines, that have not been chemically characterized.
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