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:

Genistein, a natural product derived from soybeans, ameliorates polyglutamine-mediated motor neuron disease. Spinal and bulbar muscular atrophy (SBMA) is an inherited motor neuron disease caused by the expansion of a polyglutamine (polyQ) tract within the androgen receptor (AR) gene. The pathologic features of SBMA are motor neuron loss in the spinal cord and brainstem, and diffuse nuclear accumulation and nuclear inclusions of mutant AR in residual motor neurons and certain visceral organs. AR-associated coregulator 70 (ARA70) was the first coregulator of AR to be identified, and it has been shown to interact with AR and increase its protein stability. Here, we report that genistein, an isoflavone found in soy, disrupts the interaction between AR and ARA70 and promotes the degradation of mutant AR in neuronal cells and transgenic mouse models of SBMA. We also demonstrate that dietary genistein ameliorates behavioral abnormalities, improves spinal cord and muscle pathology, and decreases the amounts of monomeric AR and high-molecular-weight mutant AR protein aggregates in SBMA transgenic mice. Thus, genistein treatment may be a potential therapeutic approach for alleviating the symptoms of SBMA by disrupting the interactions between AR and ARA70.
{"Chemical": ["polyglutamine", "genistein", "isoflavone", "polyQ", "Genistein", "androgen"]}