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:

The anti-diabetic effects and pharmacokinetic profiles of berberine in mice treated with Jiao-Tai-Wan and its compatibility. Jiao-Tai-Wan (JTW), a classical Chinese prescription, has been clinically employed to treat diabetes mellitus in recent years. To investigate the comparative evaluations on anti-diabetic effects and pharmacokinetics of the active ingredient berberine in mice treated with JTW in various combinations of its constituent herbs. In our study, the anti-diabetic study was carried out in diabetic mice induced by intraperitoneal injection of streptozotocin. The diabetic mice were randomly assigned to three therapy groups and orally administered with different prescription proportions of Rhizoma Coptidis and Cinnamomum cassia respectively. The level of plasma glucose, lipid profile and parameters related to oxidative stress were determined. The concentrations of berberine in non-diabetic mice plasma were determined using HPLC, and main pharmacokinetic parameters were investigated. The results indicated that the compatibility effects of ingredients present in Cinnamomum cassia could affect the anti-diabetic ability and pharmacokinetics of berberine in JTW.
{"Chemical": ["berberine", "glucose", "streptozotocin"]}