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: ["Protein", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Dexamethasone", ...], "Protein" : ["BRCA-1", ...]}. 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:

Effects of fisetin supplementation on hepatic lipogenesis and glucose metabolism in Sprague-Dawley rats fed on a high fat diet.
The modulatory effects of daily fisetin supplementation for 8weeks on genes involved in hepatic lipogenesis and gluconeogenesis and hyperglycemia in rats fed a high fat (HF) diet were evaluated. Elevated levels of triglyceride (TG), along with hepatic TG content and glucose concentrations in a high fat diet group were found to be reduced by fisetin supplementation. The high fat diet significantly increased hepatic mRNA expressions of PPARγ, SREBP1C and SCD-1 genes in comparison to the control diet, which was subsequently reversed by supplementation with fisetin. In addition, fisetin supplementation significantly reduced hepatic mRNA abundance of FAS, ATPCL and G6Pase compared to the control group. Finally, epididymal mRNA abundance of GLUT4 was significantly increased by fisetin supplementation, compared to levels in the control and HF groups. Enhancement of GLUT4 expression by fisetin was further confirmed in differentiated 3T3-L1 adipocytes. Fisetin supplementation decreases cardiovascular risks by ameliorating hepatic steatosis and lowering circulating glucose concentrations.
{"Chemical": ["triglyceride", "Fisetin", "glucose", "fisetin"], "Protein": ["G6Pase", "ATPCL", "FAS", "PPAR\u03b3", "SREBP1C", "SCD-1", "GLUT4"]}