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:

Niacin mediates lipolysis in adipose tissue through its G-protein coupled receptor HM74A.
A G-protein coupled receptor to niacin (nicotinic acid) was identified recently but the physiological/pharmacological role of the receptor remains poorly defined. We present our studies to demonstrate that HM74A, but not HM74, binds niacin at high affinities and effectively mediates Gi signaling events in human embryonic kidney HEK293 cells as well as in 3T3L1 adipocytes expressing HM74A. Furthermore, HM74A, but not HM74, expressed in differentiated 3T3L1 adipocytes effectively mediated inhibition of lipolysis by niacin. Our results provided direct evidence indicating that HM74A, but not HM74, was sufficient to mediate anti-lipolytic effect of niacin in adipose tissue.
{"Chemical": ["niacin", "Niacin", "nicotinic acid"], "Protein": ["HM74A", "Gi", "G-protein coupled receptor HM74A", "G-protein coupled receptor", "HM74"]}