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:

Comparative study on hypocholesterolemic and antioxidant activities of various extracts of fenugreek seeds. The hypocholesterolemic and antioxidant activities of various extracts (water, methanol, ethyl acetate, hexane, dichloro-methane) of fenugreek seeds were investigated in cholesterol-fed rats. Only the ethyl acetate extract reduced total cholesterol, triglycerides, and low-density lipoprotein cholesterol (LDL-C) and increased high-density lipoprotein cholesterol (HDL-C) compared with those of rats fed a cholesterol-rich diet (HCD). Furthermore, the content of thiobarbituric acid-reactive substances (TBARS), and catalase and superoxide dismutase (SOD) in liver, heart and kidney decreased significantly after oral administration of the ethyl acetate extract, compared with those of HCD-fed rats. The phenolic and flavonoïd contents were highest in the methanol and the ethyl acetate extracts. These results showed that the ethyl acetate extract of the fenugreek seeds had a significant hypocholesterolemic effect and antioxidant activity in cholesterol-fed rats, whether this is partly due to the presence of flavonoïds in the extract needs further study.
{"Chemical": ["phenolic", "ethyl acetate", "flavono\u00efd", "hexane", "thiobarbituric acid", "flavono\u00efds", "dichloro-methane", "methanol", "cholesterol", "triglycerides", "superoxide"]}