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:

Evaluation of the intestinal toxicity and transport of xenobiotics utilizing precision-cut slices. 1.The precision-cut intestinal slice (PCIS) technology is a relatively new addition to the battery of in vitro assays for evaluation of xenobiotic toxicity, metabolism, and transport. 2.The intestine is an important target for drug-induced toxicity due to its high exposure after oral administration. Therefore, the prediction of drug-induced intestinal side effects remains a significant safety issue in pharmaceutical development. Although animal experiments have been proven useful, species differences and the requirement for reduction of animal use warrant the development of in vitro methods which can apply human tissue. 3.The enterocytes lining the villi express high activities of enzymes and transporters involved in drug disposition. They vary highly in activities: along the length of the intestine and along the villi, gradients of expression levels of the enzymes and proteins exist, which necessitates an in vitro model that can reflect the different regions of the intestine. 4.In this chapter, the application of PCIS in studies on transport and toxicity of xenobiotics is reviewed. PCIS can be prepared from each region of the intestine and from various species in a similar manner, and the results published so far indicate that they represent a promising model to evaluate intestinal toxicity and transport.
{"Chemical": []}