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:

Synthesis and Nrf2-inducing activity of the isothiocyanates iberverin, iberin and cheirolin. Numerous studies have reported a potent induction of Nuclear factor (erythroid-derived 2)-like 2 (Nrf2)-dependent gene expression by the isothiocyanate sulforaphane. However, little is known regarding the Nrf2-inducing activities of the lower structure-related sulforaphane homologues, such as iberverin, iberin and cheirolin, which exhibit different sulfur oxidation states. Therefore, in this study we synthesized the isothiocyanates iberverin, iberin and cheirolin with a high yield and purity and determined their Nrf2-inducing activity in NIH3T3 fibroblasts. Iberverin, iberin and cheirolin significantly induced Nrf2 nuclear translocation. The increase in nuclear Nrf2 levels was accompanied by a significant increase in heme oxygenase 1 (HO-1) and γ-glutamylcysteine synthetase (γGCS) mRNA and protein levels. Overall, iberverin, iberin and cheirolin exhibited a similar potency to sulforaphane in inducing Nrf2-dependent gene-expression. Furthermore, our data suggest that the induction of Nrf2 by iberverin, iberin and cheirolin may have occurred via an extracellular signal-related kinase (ERK)-dependent signal-transduction pathway.
{"Chemical": ["iberverin", "iberin", "isothiocyanates", "\u03b3-glutamylcysteine", "sulforaphane", "cheirolin", "Iberverin"]}