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:

Nocapyrones H-J, 3,6-Disubstituted α-Pyrones from the Marine Actinomycete Nocardiopsis sp. KMF-001. Three new 3,6-disubstituted α-pyrones, nocapyrones H-J (1-3), were isolated from the marine actinomycete Nocardiopsis sp. KMF-001. Their structures were assigned to be 3-alkylated 6-(1-methyl-1-propenyl)-2H-pyran-2-ones on the basis of UV, MS, NMR, and high resolution (HR)-FAB-MS analyses. Nocapyrone H (1) reduced the pro-inflammatory factor such as nitric oxide (NO), prostaglandin E2 (PGE2) and interleukin-1β (IL-1β). Moreover, nocapyrone H showed 5.82% stronger inhibitory effect on NO production than chrysin at a concentration of 10 µm in lipopolysaccharide (LPS)-stimulated BV-2 microglial cells.
{"Chemical": ["Nocapyrones H-J", "PGE2", "3,6-disubstituted \u03b1-pyrones", "3-alkylated 6-(1-methyl-1-propenyl)-2H-pyran-2-ones", "Nocapyrone H", "prostaglandin E2", "nocapyrone H", "nitric oxide", "nocapyrones H-J", "3,6-Disubstituted \u03b1-Pyrones", "NO"]}