• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Predicting ecotoxicological impacts of environmental contaminants on terrestrial small mammals.

作者信息

Shore R F, Douben P E

机构信息

I.T.E. Monks Wood, Huntingdon, Cambridgeshire, U.K.

出版信息

Rev Environ Contam Toxicol. 1994;134:49-89. doi: 10.1007/978-1-4684-7068-0_3.

DOI:10.1007/978-1-4684-7068-0_3
PMID:8290737
Abstract

This review examines whether the effects of environmental contaminants on wild small mammals can be predicted from the results of single-species, laboratory toxicity studies. Heavy metals, organochlorines, chlorinated aromatic hydrocarbons, and OP/carbamate pesticides were identified as the groups of xenobiotics for which there are toxicity data for terrestrial small mammals and that, on the basis of persistence, acute toxicity, and bio-accumulation potential, present the greatest hazard to wild mammals. Laboratory-generated toxicity data, which used lethality and reproduction as measurable endpoints, were reviewed and intake and residue LOAELs estimated for representative chemicals (lead, endrin, PCBs) from the heavy metal, organochlorine, and chlorinated aromatic hydrocarbon substance groups; the OPs and carbamates were reviewed as a whole. Intakes and residues of these compounds in wild small mammals were compared with laboratory-defined LOAELs and the likelihood of effects predicted. The accuracy of these predictions was examined and the efficacy of extrapolating toxicity data from laboratory to wild species assessed. Qualitative extrapolation from laboratory to wild species was good for all the chemicals considered, laboratory tests correctly identifying the types of effects chemicals had on a wide range of wild mammals. In contrast, the quantitative extrapolation of dose-response data was either poor or largely unvalidated. This is because interspecies variation in sensitivity to xenobiotics and the effects on toxicity of differences in exposure pattern between laboratory and wild species are largely unquantified. Based upon the limited evidence available, errors in the direct extrapolation of dose-response data from laboratory to field may be as large as three orders of magnitude. Direct extrapolation of residue-response data from laboratory to wild mammals is good both for the effects of heavy metals on specific organs and for residues and acetylcholinesterase inhibition associated with pesticide-induced mortality. The use of organ residues or biomarkers to predict the severity of sublethal effects on reproductive output may be possible, although large residues or biomarker responses are not necessarily indicative of the severity of wider physiological effect. Appropriate residues/biomarkers may differ for various xenobiotics and even between species for the same xenobiotic. Further research is required to identify suitable markers that can be correlated with the occurrence and magnitude of ecologically important effects. Xenobiotics likely to have a direct effect on population dynamics are those that are persistent and adversely affect survival and reproduction. At present, this weak correlation is the only one that can be made between single-species laboratory tests and population effects.(ABSTRACT TRUNCATED AT 400 WORDS)

摘要

相似文献

1
Predicting ecotoxicological impacts of environmental contaminants on terrestrial small mammals.
Rev Environ Contam Toxicol. 1994;134:49-89. doi: 10.1007/978-1-4684-7068-0_3.
2
Safety and nutritional assessment of GM plants and derived food and feed: the role of animal feeding trials.转基因植物及其衍生食品和饲料的安全性与营养评估:动物饲养试验的作用
Food Chem Toxicol. 2008 Mar;46 Suppl 1:S2-70. doi: 10.1016/j.fct.2008.02.008. Epub 2008 Feb 13.
3
The ecotoxicological significance of cadmium intake and residues in terrestrial small mammals.
Ecotoxicol Environ Saf. 1994 Oct;29(1):101-12. doi: 10.1016/0147-6513(94)90035-3.
4
Interspecies comparison of chlorinated contaminant concentrations and profiles in wild terrestrial mammals from northwest Poland.波兰西北部野生陆地哺乳动物中氯化污染物浓度和分布的种间比较。
Arch Environ Contam Toxicol. 2014 May;66(4):491-503. doi: 10.1007/s00244-013-9989-y. Epub 2014 Jan 16.
5
Effects of subchronic exposure to a complex mixture of persistent contaminants in male rats: systemic, immune, and reproductive effects.雄性大鼠亚慢性暴露于持久性污染物复杂混合物的影响:全身、免疫和生殖影响。
Toxicol Sci. 2002 May;67(1):131-43. doi: 10.1093/toxsci/67.1.131.
6
Small mammals as monitors of environmental contaminants.作为环境污染物监测指标的小型哺乳动物。
Rev Environ Contam Toxicol. 1991;119:47-145. doi: 10.1007/978-1-4612-3078-6_2.
7
Organochlorine pesticides and polychlorinated biphenyl congeners in wild terrestrial mammals and birds from Chubu region, Japan: interspecies comparison of the residue levels and compositions.日本中部地区野生陆生哺乳动物和鸟类体内的有机氯农药及多氯联苯同系物:残留水平与组成的种间比较
Chemosphere. 1998 Jun;36(15):3211-21. doi: 10.1016/s0045-6535(98)00011-3.
8
Global contamination by persistent organochlorines and their ecotoxicological impact on marine mammals.持久性有机氯的全球污染及其对海洋哺乳动物的生态毒理学影响。
Sci Total Environ. 1994 Sep 16;154(2-3):163-77. doi: 10.1016/0048-9697(94)90086-8.
9
Bioconcentration, bioaccumulation, and metabolism of pesticides in aquatic organisms.水生生物体内农药的生物浓缩、生物积累和代谢。
Rev Environ Contam Toxicol. 2010;204:1-132. doi: 10.1007/978-1-4419-1440-8_1.
10
Thyroid toxicity due to subchronic exposure to a complex mixture of 16 organochlorines, lead, and cadmium.亚慢性暴露于16种有机氯、铅和镉的复杂混合物导致的甲状腺毒性。
Toxicol Sci. 2002 Jun;67(2):207-18. doi: 10.1093/toxsci/67.2.207.

引用本文的文献

1
Risk Assessment Arising from the Exposure of Terrestrial Vertebrates to Soil Contamination: Learning from Field Lizards of the Genus.陆生脊椎动物接触土壤污染产生的风险评估:从该属的野外蜥蜴中获取经验。
J Xenobiot. 2025 Feb 1;15(1):21. doi: 10.3390/jox15010021.
2
Trace metal accumulation with age in bats: a case study on Pipistrellus kuhlii lepidus from a relatively unpolluted area.蝙蝠体内痕量金属随年龄的积累:来自相对未受污染地区的库氏伏翼(Pipistrellus kuhlii lepidus)的案例研究
Environ Sci Pollut Res Int. 2024 Dec;31(57):65638-65647. doi: 10.1007/s11356-024-35611-w. Epub 2024 Nov 26.
3
Trace metal accumulation through the environment and wildlife at two derelict lead mines in Wales.
威尔士两座废弃铅矿中痕量金属在环境和野生动物体内的积累情况。
Heliyon. 2024 Jul 9;10(14):e34265. doi: 10.1016/j.heliyon.2024.e34265. eCollection 2024 Jul 30.
4
Individual variation within wild populations of an arid-zone lizard dictates oxidative stress levels despite exposure to sublethal pesticides.尽管暴露在亚致死浓度的杀虫剂下,干旱地区蜥蜴的野生种群中的个体变异决定了其氧化应激水平。
Ecotoxicology. 2023 May;32(4):470-486. doi: 10.1007/s10646-023-02653-8. Epub 2023 Apr 26.
5
Trace metals from historical mining sites and past metallurgical activity remain bioavailable to wildlife today.历史采矿场和过去冶金活动产生的痕量金属至今仍对野生动物具有生物可利用性。
Sci Rep. 2018 Feb 21;8(1):3436. doi: 10.1038/s41598-018-20983-0.
6
Can Body Condition and Somatic Indices be Used to Evaluate Metal-Induced Stress in Wild Small Mammals?身体状况和躯体指标能否用于评估野生小型哺乳动物的金属诱导应激?
PLoS One. 2013 Jun 18;8(6):e66399. doi: 10.1371/journal.pone.0066399. Print 2013.
7
Evidence of population genetic effects in Peromyscus melanophrys chronically exposed to mine tailings in Morelos, Mexico.墨西哥莫雷洛斯州长期暴露在尾矿中的黑尾草原田鼠的种群遗传效应证据。
Environ Sci Pollut Res Int. 2013 Nov;20(11):7666-79. doi: 10.1007/s11356-012-1263-8. Epub 2012 Oct 30.
8
Hepatic and immune biological effect assays in C57BL/6 mice to measure polycyclic aromatic hydrocarbon bioavailability under laboratory exposures with increasing environmental relevance.在C57BL/6小鼠中进行肝脏和免疫生物学效应测定,以测量在实验室暴露条件下多环芳烃的生物利用度,且这种暴露与环境相关性不断增加。
Environ Sci Pollut Res Int. 2007 Jun;14(4):256-65. doi: 10.1065/espr2006.04.301.
9
Behavioral and physiological effects of acute sublethal exposure to dimethoate on wood mice, Apodemus sylvaticus.急性亚致死剂量乐果暴露对林姬鼠(Apodemus sylvaticus)行为和生理的影响
Arch Environ Contam Toxicol. 1996 Jul;31(1):91-7. doi: 10.1007/BF00203912.