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: ["Disease", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Naloxone", ...], "Disease" : ["Hypotensive", ...]}. 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:

In vivo characterization of a dual adenosine A2A/A1 receptor antagonist in animal models of Parkinson's disease. The in vivo characterization of a dual adenosine A(2A)/A(1) receptor antagonist in several animal models of Parkinson's disease is described. Discovery and scale-up syntheses of compound 1 are described in detail, highlighting optimization steps that increased the overall yield of 1 from 10.0% to 30.5%. Compound 1 is a potent A(2A)/A(1) receptor antagonist in vitro (A(2A) K(i) = 4.1 nM; A(1) K(i) = 17.0 nM) that has excellent activity, after oral administration, across a number of animal models of Parkinson's disease including mouse and rat models of haloperidol-induced catalepsy, mouse model of reserpine-induced akinesia, rat 6-hydroxydopamine (6-OHDA) lesion model of drug-induced rotation, and MPTP-treated non-human primate model.
{"Chemical": ["adenosine A2A/A1 receptor antagonist", "6-OHDA", "reserpine", "MPTP", "haloperidol", "adenosine A(2A)/A(1) receptor antagonist", "6-hydroxydopamine"], "Disease": ["akinesia", "catalepsy", "Parkinson\u0027s disease"]}