Developing structure-activity relationships for N-nitrosamine activity

致癌物 亚硝胺 效力 化学 计算生物学 毒理 生物化学 生物 体外
作者
Kevin P. Cross,David J. Ponting
出处
期刊:Computational Toxicology [Elsevier]
卷期号:20: 100186-100186 被引量:55
标识
DOI:10.1016/j.comtox.2021.100186
摘要

The detection of N-nitrosodimethylamine (NDMA) in several marketed drugs led regulatory agencies to require that N-nitrosamine risk assessments be performed on all marketed medical products [EMA/351053/2019 rev 1 (2019)]. Regulation of N-nitrosamine impurity levels in pharmaceutical drug substances and products is described in the ICH M7(R1) guideline where they are referred to as “cohort-of-concern” compounds as several are potent rodent carcinogens [Kroes et. al. 2004]. EMA, U.S. FDA and other regulatory agencies have set provisional acceptable daily intake limits for N-nitrosamines calculated from rodent carcinogenicity TD50 values for experimentally measured N-nitrosamines or the measured TD50 values of close analogs. The class-specific limit can be adjusted based upon a structure activity relationship analysis (SAR) and comparison with analogs having established carcinogenicity data [EMA/369136/2020, (2020)]. To investigate whether improvements in SARs can more accurately predict N-nitrosamine carcinogenic potency, an ad hoc workgroup of 23 companies and universities was established with the goals of addressing several scientific and regulatory issues including: reporting and review of N-nitrosamine mutagenicity and carcinogenicity reaction mechanisms, collection and review of available, public relevant experimental data, development of structure–activity relationships consistent with mechanisms for prediction of N-nitrosamine carcinogenic potency categories, and improved methods for calculating acceptable intake limits for N-nitrosamines based upon mechanistic analogs. Here we describe this collaboration and review our progress to date towards development of mechanistically based structure–activity relationships. We propose improving risk assessment of N-nitrosamines by first establishing the dominant reaction mechanism prior to retrieving an appropriate set of close analogs for use in read-across exercises.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
明理寄云发布了新的文献求助30
刚刚
林夕发布了新的文献求助10
刚刚
orixero应助raquelle采纳,获得10
1秒前
二十二发布了新的文献求助10
1秒前
Z01发布了新的文献求助10
1秒前
英姑应助SGOM采纳,获得10
4秒前
小胡同学完成签到,获得积分10
6秒前
徒tu发布了新的文献求助10
7秒前
7秒前
schyoung完成签到,获得积分10
8秒前
我超快乐吖完成签到,获得积分20
10秒前
10秒前
顾矜应助聪明的海白采纳,获得10
11秒前
SW完成签到,获得积分10
11秒前
小叶子发布了新的文献求助10
12秒前
12秒前
额度无法发布了新的文献求助30
13秒前
苦瓜发布了新的文献求助10
14秒前
14秒前
爱听歌笑柳完成签到,获得积分10
15秒前
自然的晓亦完成签到 ,获得积分10
16秒前
科研通AI2S应助科研通管家采纳,获得10
17秒前
我是老大应助科研通管家采纳,获得10
17秒前
沐沐完成签到,获得积分10
17秒前
思源应助科研通管家采纳,获得30
17秒前
CodeCraft应助科研通管家采纳,获得10
17秒前
17秒前
无花果应助科研通管家采纳,获得10
17秒前
852应助科研通管家采纳,获得10
17秒前
雨晴轻发布了新的文献求助10
17秒前
HEIKU应助科研通管家采纳,获得10
17秒前
wanci应助科研通管家采纳,获得10
18秒前
Ava应助科研通管家采纳,获得10
18秒前
李健应助科研通管家采纳,获得10
18秒前
深情安青应助科研通管家采纳,获得10
18秒前
今后应助科研通管家采纳,获得10
18秒前
酷波er应助科研通管家采纳,获得10
18秒前
ding应助科研通管家采纳,获得10
18秒前
orixero应助科研通管家采纳,获得10
18秒前
HEIKU应助科研通管家采纳,获得10
18秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Wirkstoffdesign 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3129146
求助须知:如何正确求助?哪些是违规求助? 2779966
关于积分的说明 7745595
捐赠科研通 2435160
什么是DOI,文献DOI怎么找? 1293933
科研通“疑难数据库(出版商)”最低求助积分说明 623474
版权声明 600542