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:

Pharmacokinetic analysis by high-performance liquid chromatography of intravenous nordihydroguaiaretic acid in the mouse.
Nordihydroguaiaretic acid (NDGA) has been shown to inhibit both 5-lipoxygenase and ornithine decarboxylase and is active against several cancer cell lines and at least one mouse tumor model. Despite these findings, there have been no reports on the pharmacokinetics of NDGA. A reverse-phase high-performance liquid chromatography (HPLC) method was developed to detect NDGA in mouse plasma. The limit of detection of this method was 0.5 microg/ml. Administration of NDGA (50 mg/kg, i.v.) to mice resulted in a peak plasma concentration of 14.7 microg/ml. The terminal half-life of NDGA was 135.0 min with a clearance of 201.9 ml/min x kg.
{"Chemical": ["Nordihydroguaiaretic acid", "NDGA", "ornithine", "nordihydroguaiaretic acid"], "Protein": ["ornithine decarboxylase", "5-lipoxygenase"]}