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:

Transcellular transport of aconitine across human intestinal Caco-2 cells. Aconitine (AC) is a highly toxic compound present in plants of the genus Aconitum. The transcellular transport mechanism of AC was investigated using Caco-2 cells. The flux of AC was time- and concentration-dependent in both apical-to-basolateral and the reverse direction. The efflux of AC was more than two-fold that in the opposite direction. The influx of AC was temperature-, pH- and Na(+)-dependent. Glucose markedly decreased the absorption of AC. However, the efflux of AC was temperature- and pH-dependent, but Na(+)-independent. Cyclosporin A and verapamil, both inhibitors of P-glycoprotein (P-gp), significantly decreased the efflux of AC. In addition, MK-571, an inhibitor of multidrug resistance-associated protein 2 (MRP2), exhibited the same trend but to a lesser extent. These results indicate that both the influx and efflux of AC across Caco-2 monolayers were through an active process. A pH-dependent carrier-mediated transport system was the major absorption mechanism and a sodium-dependent glucose transporter may be involved. The active efflux of AC across Caco-2 cells was mediated mainly by ABC-transporter P-gp. It is involved in reducing the toxicity of AC to organisms and is the major reasons for the poor absorption of AC in vivo.
{"Chemical": ["glucose", "sodium", "verapamil", "aconitine", "Cyclosporin A", "Aconitine", "Na(+)", "Glucose", "MK-571"]}