You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Green tea extract alleviates arsenic-induced biochemical toxicity and lipid peroxidation in rats. The present work was undertaken to evaluate the protective effect of an aqueous extract of green tea (GT, Camellia sinensis) leaves against arsenic (NaAsO2)-induced biochemical toxicity and lipid peroxidation production in experimental rats. The treatment with arsenic exhibited a significant increase in some serum hepatic and renal biochemical parameters (alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, total protein, albumin, bilirubin, cholesterol, urea and creatinine). But the co-administration of GT has increased the level of plasmatic concentration of biochemical parameters. Exposure of rats to arsenic caused also a significant increase in liver, kidney and testicular thiobarbituric acid reactive substances compared to control. However, the co-administration of GT was effective in reducing its level. To conclude, our data suggest that arsenic exposure enhanced an oxidative stress by disturbing the tissue antioxidant defense system, but the GT co-administration alleviates the toxicity induced by arsenic exposure.
{"Chemical": ["arsenic", "NaAsO2", "creatinine", "thiobarbituric acid", "alanine", "urea", "aspartate", "cholesterol", "bilirubin"]}