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:

Transport of gemifloxacin, a 4th generation quinolone antibiotic, in the Caco-2 and engineered MDCKII cells, and potential involvement of efflux transporters in the intestinal absorption of the drug. The oral (po) bioavailability of gemifloxacin mesylate in rats and its possible association with efflux transporters was investigated. The apparent permeabilities (Papp) of gemifloxacin across the Caco-2 cell monolayer were 1.20 ± 0.09 × 10(-5) cm/s for apical to basal (absorptive) transport, and 2.13 ± 0.6 × 10(-5) cm/s for basal to apical (secretory) transport for a 5-500 μM concentration range, suggesting the involvement of a carrier-mediated efflux in the secretory transport. The secretory transport in Caco-2 cells was significantly decreased by MRP2 (MK571) and BCRP (Ko143) inhibitors. The secretory transport was distinct in MDCKII/P-gp, MDCKII/MRP2 and MDCKII/BCRP cells, and the affinity was highest for MRP2, followed by BCRP and P-gp. The efflux was significantly decreased by verapamil and Ko143, but not significantly by MK571. The comparative po bioavailability in rats was increased by the preadministration of Ko143 (four-fold), MK571 (two-fold) and verapamil (two-fold). Efflux transporters appeared to significantly limit the bioavailability of gemifloxacin in rats, suggesting their possible contribution to the low bioavailability of the drug in the human (70%).
{"Chemical": ["quinolone", "verapamil", "Ko143", "gemifloxacin", "MK571", "gemifloxacin mesylate"]}