Benchmark Dose Estimation from Transcriptomics Data for Methylimidazolium Ionic Liquid Hepatotoxicity: Implications for Health Risk Assessment of Green Solvents

Qing Yang, Xiaole Zhao, Kejia Wu, Qingqing Yu, Qiao Wang, Jingguang Li, Yongning Wu and Xin Liu*, 
{"title":"Benchmark Dose Estimation from Transcriptomics Data for Methylimidazolium Ionic Liquid Hepatotoxicity: Implications for Health Risk Assessment of Green Solvents","authors":"Qing Yang,&nbsp;Xiaole Zhao,&nbsp;Kejia Wu,&nbsp;Qingqing Yu,&nbsp;Qiao Wang,&nbsp;Jingguang Li,&nbsp;Yongning Wu and Xin Liu*,&nbsp;","doi":"10.1021/envhealth.4c0012010.1021/envhealth.4c00120","DOIUrl":null,"url":null,"abstract":"<p >Ionic liquids (ILs), traditionally considered environmentally benign solvents, have shown potential toxicity to organisms, raising concerns about their safety. Among them, 1-octyl-3-methylimidazolium (M8OI) has been detected at high concentrations in soils and exhibits hepatotoxic properties. To uncover the molecular mechanisms underlying this toxicity, whole-transcriptome sequencing was performed, coupled with benchmark dose (BMD) modeling, to derive transcriptomic points-of-departure (tPOD) through dose–response analysis. The transcriptomic analysis identified 425, 667, and 567 differentially expressed genes (DEGs) following low (10 μmol/L), medium (50 μmol/L), and high (200 μmol/L) doses of M8OI exposure, respectively. Enrichment analysis revealed significant perturbations in pathways related to cytokine–cytokine receptor interaction and IL-17 signaling. BMD modeling yielded tPOD values of 1.51 μmol/L (median of the 20 most sensitive genes, omicBMD<sub>20</sub>), 2.98 μmol/L (tenth percentile of all genes, omicBMD<sub>10th</sub>), 6.83 μmol/L (mode of the first peak of all gene BMDs, omicBMD<sub>mode</sub>), and 5.9 μmol/L for pathway-level analysis. These transcriptomics-derived tPODs were at least 105-fold lower than M8OI’s hepatotoxic concentration, as indicated by its EC<sub>50</sub> of 723.6 μmol/L in HepG2 cells. Functional analysis of the transcriptomic data identified legionellosis, rheumatoid arthritis, and transcriptional misregulation in cancer as the most sensitive pathways affected by M8OI. These findings highlight the molecular mechanisms driving M8OI-induced hepatotoxicity and underscore the utility of transcriptomics in deriving sensitive and quantitative toxicity thresholds. The results provide critical insights for guideline-driven toxicological evaluations and regulatory decision-making, supporting a more comprehensive assessment of IL safety.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 4","pages":"373–379 373–379"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00120","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment & Health","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/envhealth.4c00120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Ionic liquids (ILs), traditionally considered environmentally benign solvents, have shown potential toxicity to organisms, raising concerns about their safety. Among them, 1-octyl-3-methylimidazolium (M8OI) has been detected at high concentrations in soils and exhibits hepatotoxic properties. To uncover the molecular mechanisms underlying this toxicity, whole-transcriptome sequencing was performed, coupled with benchmark dose (BMD) modeling, to derive transcriptomic points-of-departure (tPOD) through dose–response analysis. The transcriptomic analysis identified 425, 667, and 567 differentially expressed genes (DEGs) following low (10 μmol/L), medium (50 μmol/L), and high (200 μmol/L) doses of M8OI exposure, respectively. Enrichment analysis revealed significant perturbations in pathways related to cytokine–cytokine receptor interaction and IL-17 signaling. BMD modeling yielded tPOD values of 1.51 μmol/L (median of the 20 most sensitive genes, omicBMD20), 2.98 μmol/L (tenth percentile of all genes, omicBMD10th), 6.83 μmol/L (mode of the first peak of all gene BMDs, omicBMDmode), and 5.9 μmol/L for pathway-level analysis. These transcriptomics-derived tPODs were at least 105-fold lower than M8OI’s hepatotoxic concentration, as indicated by its EC50 of 723.6 μmol/L in HepG2 cells. Functional analysis of the transcriptomic data identified legionellosis, rheumatoid arthritis, and transcriptional misregulation in cancer as the most sensitive pathways affected by M8OI. These findings highlight the molecular mechanisms driving M8OI-induced hepatotoxicity and underscore the utility of transcriptomics in deriving sensitive and quantitative toxicity thresholds. The results provide critical insights for guideline-driven toxicological evaluations and regulatory decision-making, supporting a more comprehensive assessment of IL safety.

甲基咪唑离子液体肝毒性转录组学数据的基准剂量估计:绿色溶剂健康风险评估的意义
离子液体历来被认为是对环境无害的溶剂,但其对生物的潜在毒性引起了人们对其安全性的关注。其中,1-辛基-3-甲基咪唑(M8OI)已在土壤中检测到高浓度,并具有肝毒性。为了揭示这种毒性的分子机制,研究人员进行了全转录组测序,并结合基准剂量(BMD)建模,通过剂量-反应分析得出转录组出发点(tPOD)。转录组学分析发现,低剂量(10 μmol/L)、中剂量(50 μmol/L)和高剂量(200 μmol/L) M8OI暴露后,分别有425、667和567个差异表达基因(deg)。富集分析显示,与细胞因子-细胞因子受体相互作用和IL-17信号传导相关的途径存在显著的扰动。BMD建模得到的tPOD值分别为1.51 μmol/L(20个最敏感基因的中位数,omicBMD20)、2.98 μmol/L(所有基因的十分位数,omicbmd10)、6.83 μmol/L(所有基因BMD的第一峰模式,omicBMDmode)和5.9 μmol/L(途径水平分析)。这些转录组学衍生的tpod比M8OI的肝毒性浓度至少低105倍,其在HepG2细胞中的EC50为723.6 μmol/L。转录组学数据的功能分析发现,军团病、类风湿关节炎和癌症中的转录失调是受M8OI影响的最敏感途径。这些发现强调了驱动m8oi诱导的肝毒性的分子机制,并强调了转录组学在推导敏感和定量毒性阈值方面的应用。研究结果为指导方针驱动的毒理学评估和监管决策提供了重要见解,支持对IL安全性进行更全面的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Environment & Health
Environment & Health 环境科学、健康科学-
自引率
0.00%
发文量
0
期刊介绍: Environment & Health a peer-reviewed open access journal is committed to exploring the relationship between the environment and human health.As a premier journal for multidisciplinary research Environment & Health reports the health consequences for individuals and communities of changing and hazardous environmental factors. In supporting the UN Sustainable Development Goals the journal aims to help formulate policies to create a healthier world.Topics of interest include but are not limited to:Air water and soil pollutionExposomicsEnvironmental epidemiologyInnovative analytical methodology and instrumentation (multi-omics non-target analysis effect-directed analysis high-throughput screening etc.)Environmental toxicology (endocrine disrupting effect neurotoxicity alternative toxicology computational toxicology epigenetic toxicology etc.)Environmental microbiology pathogen and environmental transmission mechanisms of diseasesEnvironmental modeling bioinformatics and artificial intelligenceEmerging contaminants (including plastics engineered nanomaterials etc.)Climate change and related health effectHealth impacts of energy evolution and carbon neutralizationFood and drinking water safetyOccupational exposure and medicineInnovations in environmental technologies for better healthPolicies and international relations concerned with environmental health
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信