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:

Effects of amlodipine on the oral bioavailability of cephalexin and cefuroxime axetil in healthy volunteers.
In this study, the authors compared the effects of amlodipine (AML) on the bioavailability of cephalexin (LEX) and cefuroxime axetil (CXM). Twenty-four healthy men were randomized to 4 treatments according to a crossover design with a 14-day washout. After an overnight fast, they were administered orally LEX 500 mg alone, LEX 500 mg 2 hours after oral administration of AML 5 mg, CXM 500 mg alone, and CXM 500 mg 2 hours after oral administration of AML 5 mg. All participants completed the whole study without side effects being observed. Pharmacokinetic data were analyzed by noncompartmental modeling with WinNonlin software. The geometric mean (GM) ratios were 1.38 (90% confidence interval [CI], 1.32-1.45) for the area under the concentration-time curve (AUC) for LEX and 1.27 (1.18-1.36) for the maximum concentration of drug in serum (C(max)) for LEX followed by AML versus alone. In contrast, no significant differences were found in the pharmacokinetic parameters of CXM between treatments (P < .05). They authors conclude that AML possesses an enhancement effect in β-lactam antibiotic bioavailability (in this case, LEX), and this interaction may be specific to the peptidomimetic β-lactam antibiotics.
{"Chemical": ["cephalexin", "LEX", "\u03b2-lactam", "AML", "CXM", "amlodipine", "cefuroxime axetil"], "Protein": []}