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用于神经毒性风险评估的基于生物学的剂量反应模型。

Biologically-based dose-response model for neurotoxicity risk assessment.

作者信息

Slikker W, Scallet A C, Gaylor D W

机构信息

Division of Neurotoxicology, National Center for Toxicological Research/FDA, Jefferson, AR 72079-9502, USA.

出版信息

Toxicol Lett. 1998 Dec 28;102-103:429-33. doi: 10.1016/s0378-4274(98)00335-x.

DOI:10.1016/s0378-4274(98)00335-x
PMID:10022291
Abstract

Domoic acid is a tricarboxylic amino acid that is structurally-related to kainic acid and glutamic acid. It is produced by phytoplankton that may contaminate seafood. To determine domoate's toxicological effects and their pathogenesis, cynomolgus monkeys were dosed intravenously at one of a range of bolus doses from 0.25 to 4.0 mg/kg. Histochemical staining, using silver methods, revealed degenerating axons and cell bodies. Doses in the range of 0.5-1.0 mg/kg produced a small area of silver grains restricted to axons of the hippocampal CA2 stratum lucidum, the most sensitive brain area identified. Quantitation of the abundance of these silver grains yielded continuous dose-response data. A four step quantitative risk estimation approach was used: (1) determination of a dose-response model; (2) determination of the distribution of measurements (variability) about the model; (3) determination of an adverse or abnormal level with the use of the control data; and (4) estimation of the probability that a measure is beyond the abnormal level as a function of dose. The currently used safety-factor (S-F) approach, the benchmark (BM) approach and this quantitative (Q) approach was used to assess the same data set. Assuming a 5% oral absorption of domoic acid, acceptable doses would be achieved if subjects ate 200 g of seafood containing 12, 6 and 10 ppm domoic acid for the S-F, BM and Q approaches, respectively. This quantitative approach uses all the available data, takes into account the variability of the data and provides an actual risk at a given dose of domoic acid.

摘要

软骨藻酸是一种三羧酸氨基酸,其结构与 kainic 酸和谷氨酸相关。它由可能污染海产品的浮游植物产生。为了确定软骨藻酸酯的毒理学效应及其发病机制,对食蟹猴静脉注射 0.25 至 4.0 mg/kg 一系列大剂量中的一种。使用银染法进行组织化学染色,显示出轴突和细胞体退变。0.5 - 1.0 mg/kg 范围内的剂量在海马 CA2 透明层轴突处产生一小片银颗粒区域,这是已确定的最敏感脑区。对这些银颗粒丰度进行定量得出连续的剂量反应数据。采用了四步定量风险评估方法:(1) 确定剂量反应模型;(2) 确定围绕模型的测量分布(变异性);(3) 使用对照数据确定不良或异常水平;(4) 估计作为剂量函数的测量值超出异常水平的概率。使用当前使用的安全系数 (S - F) 方法、基准 (BM) 方法和这种定量 (Q) 方法对同一数据集进行评估。假设软骨藻酸的口服吸收率为 5%,对于 S - F、BM 和 Q 方法,若受试者分别食用 200 g 含有 12 ppm、6 ppm 和 10 ppm 软骨藻酸的海产品,将达到可接受剂量。这种定量方法使用了所有可用数据,考虑了数据的变异性,并提供了给定剂量软骨藻酸时的实际风险。

相似文献

1
Biologically-based dose-response model for neurotoxicity risk assessment.用于神经毒性风险评估的基于生物学的剂量反应模型。
Toxicol Lett. 1998 Dec 28;102-103:429-33. doi: 10.1016/s0378-4274(98)00335-x.
2
Domoic acid-treated cynomolgus monkeys (M. fascicularis): effects of dose on hippocampal neuronal and terminal degeneration.经软骨藻酸处理的食蟹猴(猕猴):剂量对海马神经元和终末变性的影响。
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Acute parenteral neurotoxicity of domoic acid in cynomolgus monkeys (M. fascicularis).软骨藻酸对食蟹猴(食蟹猕猴)的急性肠外神经毒性
Toxicol Pathol. 1990;18(2):297-303. doi: 10.1177/019262339001800208.
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Neurotoxicol Teratol. 1996 Nov-Dec;18(6):659-70. doi: 10.1016/s0892-0362(96)00120-1.
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Morphine differentially affects domoic acid and kainic acid toxicity in vivo.吗啡对体内软骨藻酸和 kainic 酸的毒性有不同影响。
Neuroreport. 1992 Sep;3(9):789-92. doi: 10.1097/00001756-199209000-00017.
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Risk assessment of the amnesic shellfish poison, domoic acid, on animals and humans.失忆性贝类毒素——软骨藻酸对动物和人类的风险评估。
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Hippocampal damage produced by systemic injections of domoic acid in mice.通过向小鼠全身注射软骨藻酸造成海马体损伤。
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Experimental oral toxicity of domoic acid in cynomolgus monkeys (Macaca fascicularis) and rats. Preliminary investigations.
Food Chem Toxicol. 1990 Oct;28(10):707-15. doi: 10.1016/0278-6915(90)90147-f.

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Communities advancing the studies of Tribal nations across their lifespan: Design, methods, and baseline of the CoASTAL cohort.
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Harmful Algae. 2016 Jul;57(B):9-19. doi: 10.1016/j.hal.2016.03.010.
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Domoic acid as a developmental neurotoxin.作为一种发育神经毒素的软骨藻酸。
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Domoic acid: neurobehavioral consequences of exposure to a prevalent marine biotoxin.**中文译文**: 软骨藻酸:一种普遍存在的海洋生物毒素暴露的神经行为后果。
Neurotoxicol Teratol. 2010 Mar-Apr;32(2):132-41. doi: 10.1016/j.ntt.2009.09.005. Epub 2009 Sep 30.