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环境预后:一种支持溶酶体应激反应作为动物健康状况预测生物标志物的综合模型。

Environmental prognostics: an integrated model supporting lysosomal stress responses as predictive biomarkers of animal health status.

作者信息

Moore Michael N, Icarus Allen J, McVeigh Allan

机构信息

Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, United Kingdom.

出版信息

Mar Environ Res. 2006 Apr;61(3):278-304. doi: 10.1016/j.marenvres.2005.10.005. Epub 2005 Dec 15.

Abstract

The potential prognostic use of lysosomal reactions to environmental pollutants is explored in relation to predicting animal health in marine mussels, based on diagnostic biomarker data. Cellular lysosomes are already known to accumulate many metals and organic xenobiotics and the lysosomal accumulation of the carcinogenic polycyclic aromatic hydrocarbon 3-methylcholanthrene (3-MC) is demonstrated here in the hepatopancreatic digestive cells and ovarian oocytes of the blue mussel. Lysosomal membrane integrity or stability appears to be a generic indicator of cellular well-being in eukaryotes; and in bivalve molluscs it is correlated with total oxygen and nitrogen radical scavenging capacity (TOSC), protein synthesis, scope for growth and larval viability; and inversely correlated with DNA damage (micronuclei), as well as lysosomal swelling (volume density), lipidosis and lipofuscinosis, which are all characteristic of failed or incomplete autophagy. Integration of multiple biomarker data is achieved using multivariate statistics and then mapped onto "health status space" by using lysosomal membrane stability as a measure of cellular well-being. This is viewed as a crucial step towards the derivation of explanatory frameworks for prediction of pollutant impact on animal health; and has facilitated the development of a conceptual mechanistic model linking lysosomal damage and autophagic dysfunction with injury to cells, tissues and the whole animal. This model has also complemented the creation and use of a cell-based bioenergetic computational model of molluscan hepatopancreatic cells that simulates lysosomal and cellular reactions to pollutants. More speculatively, the use of coupled empirical measurements of biomarker reactions and modelling is proposed as a practical approach to the development of an operational toolbox for predicting the health of the environment.

摘要

基于诊断生物标志物数据,探讨了溶酶体对环境污染物的反应在预测海洋贻贝动物健康方面的潜在预后用途。细胞溶酶体已知会积累多种金属和有机外源性物质,本文在蓝贻贝的肝胰腺消化细胞和卵巢卵母细胞中证实了致癌多环芳烃3-甲基胆蒽(3-MC)的溶酶体积累。溶酶体膜的完整性或稳定性似乎是真核生物细胞健康的通用指标;在双壳贝类中,它与总氧和氮自由基清除能力(TOSC)、蛋白质合成、生长范围和幼虫活力相关;与DNA损伤(微核)以及溶酶体肿胀(体积密度)、脂质沉积和脂褐质沉积呈负相关,这些都是自噬失败或不完全的特征。使用多元统计方法整合多个生物标志物数据,然后以溶酶体膜稳定性作为细胞健康的指标,将其映射到“健康状态空间”。这被视为朝着推导预测污染物对动物健康影响的解释框架迈出的关键一步;并促进了一个概念性机制模型的发展,该模型将溶酶体损伤和自噬功能障碍与细胞、组织和整个动物的损伤联系起来。该模型还补充了基于细胞的软体动物肝胰腺细胞生物能量计算模型的创建和使用,该模型模拟了溶酶体和细胞对污染物的反应。更具推测性地,提出将生物标志物反应的耦合实证测量与建模结合起来,作为开发预测环境健康操作工具箱的一种实用方法。

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