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OTA-葡萄:一种预测葡萄中赭曲霉毒素A风险的机理模型,超越系统方法的一步。

OTA-Grapes: A Mechanistic Model to Predict Ochratoxin A Risk in Grapes, a Step beyond the Systems Approach.

作者信息

Paola Battilani, Marco Camardo Leggieri

机构信息

Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.

出版信息

Toxins (Basel). 2015 Aug 6;7(8):3012-29. doi: 10.3390/toxins7083012.

Abstract

Ochratoxin A (OTA) is a fungal metabolite dangerous for human and animal health due to its nephrotoxic, immunotoxic, mutagenic, teratogenic and carcinogenic effects, classified by the International Agency for Research on Cancer in group 2B, possible human carcinogen. This toxin has been stated as a wine contaminant since 1996. The aim of this study was to develop a conceptual model for the dynamic simulation of the A. carbonarius life cycle in grapes along the growing season, including OTA production in berries. Functions describing the role of weather parameters in each step of the infection cycle were developed and organized in a prototype model called OTA-grapes. Modelling the influence of temperature on OTA production, it emerged that fungal strains can be shared in two different clusters, based on the dynamic of OTA production and according to the optimal temperature. Therefore, two functions were developed, and based on statistical data analysis, it was assumed that the two types of strains contribute equally to the population. Model validation was not possible because of poor OTA contamination data, but relevant differences in OTA-I, the output index of the model, were noticed between low and high risk areas. To our knowledge, this is the first attempt to assess/model A. carbonarius in order to predict the risk of OTA contamination in grapes.

摘要

赭曲霉毒素A(OTA)是一种真菌代谢产物,因其具有肾毒性、免疫毒性、致突变性、致畸性和致癌性,对人类和动物健康有害,被国际癌症研究机构列为2B组,即可能的人类致癌物。自1996年以来,这种毒素一直被认为是葡萄酒的污染物。本研究的目的是建立一个概念模型,用于动态模拟葡萄生长季节中黑曲霉的生命周期,包括浆果中OTA的产生。描述天气参数在感染周期各步骤中作用的函数被开发出来,并组织在一个名为OTA-葡萄的原型模型中。通过模拟温度对OTA产生的影响,发现根据OTA产生的动态和最佳温度,真菌菌株可分为两个不同的簇。因此,开发了两个函数,并基于统计数据分析,假设这两种类型的菌株对种群的贡献相等。由于OTA污染数据不足,无法进行模型验证,但在低风险和高风险地区之间,模型的输出指标OTA-I存在显著差异。据我们所知,这是首次尝试评估/模拟黑曲霉,以预测葡萄中OTA污染的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d91/4549737/e92649d8302b/toxins-07-03012-g001.jpg

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