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:

Antihyperglycemic and antihyperlipidemic activities of ethanolic extract of Zygophyllum album in streptozotocin-induced diabetic mice. Zygophyllum album has been mentioned in Tunisian system of folk medicine to be of value in the treatment of diabetes mellitus. The present study was designed to investigate the possible antihyperglycemic effects of ethanolic extracts of the whole plant of Z. album on blood glucose, plasma insulin, serum lipids and hepatic glycogen and metabolism enzymes of carbohydrate in streptozotocin (STZ)-induced diabetic mice. Administration of the ethanolic extract from plant (100 and 300 mg/kg body weight) for 14 days resulted in significant reduction in plasma glucose, cholesterol, triglycerides, low-density lipoprotein, very-low-density liprotein, hepatic glucokinase and glycogen in STZ diabetic mice. In addition to that, significant increase in plasma high-density lipoprotein, hepatic phosphofructokinase and glucose-6 phosphate dehydrogenase was observed in STZ diabetic mice. After administration of the ethanolic extract, the increased level of plasma insulin is not significant in diabetic mice. In conclusion, the present results showed that the ethanolic extract of Z. album possesses significant antihyperglycemic and antihyperlipidemic effects in experimental model of diabetes mellitus.
{"Chemical": ["streptozotocin", "glucose", "carbohydrate", "glucose-6 phosphate", "STZ", "cholesterol", "triglycerides"]}