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:

Effects of NIK-247 on cholinesterase and scopolamine-induced amnesia. The effects of NIK-247 on cholinesterase, scopolamine-induced amnesia and spontaneous movement were examined and compared with those of the well-known cholinesterase inhibitors tacrine and E-2020. NIK-247, tacrine and E-2020 all strongly inhibited acetylcholinesterase (AChE) in human red blood cells (IC50s = 1.0 x 10(-6), 2.9 x 10(-7) and 3.7 x 10(-8) M, respectively). In addition, NIK-247 and tacrine, but not E-2020, strongly inhibited butyrylcholinestrase (BuChE) in human serum. All three drugs produced mixed inhibition of AChE activity. Moreover, the inhibitory effect of NIK-247 on AChE was reversible. All compounds at 0.1-1 mg/kg p.o. significantly improved the amnesia induced by scopolamine (0.5 mg/kg s.c.) in rats performing a passive avoidance task. The three compounds at 1 and 3 mg/kg p.o. did not significantly decrease spontaneous movement by rats. These findings suggest that NIK-247 at a low dose (0.1-1 mg/kg p.o.) improves scopolamine-induced amnesia but does not affect spontaneous movement. The findings suggest that NIK-247 may be a useful drug for the treatment of Alzheimer's disease.
{"Chemical": ["scopolamine", "NIK-247", "E-2020", "tacrine"], "Disease": ["amnesia", "Alzheimer\u0027s disease"]}