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:

The relationship between carotid intima-media thickness and endogenous androgens in young women with polycystic ovary syndrome in Taiwan. Polycystic ovary syndrome (PCOS) is a common and complex female endocrinopathy that is associated with multiple vascular risk factors. Our objective was to investigate the relationship between carotid intima-media thickness (CIMT) and endogenous androgens in young Taiwanese-Chinese women with PCOS. We measured CIMT with B-mode ultrasound in 42 young PCOS patients and 43 controls. Atherosclerosis-associated profiles and endocrinological parameters were also measured. The results showed that although Taiwanese-Chinese PCOS patients tend to possess more risk factors for atherosclerosis than controls, there was no evidence to support that they have a greater CIMT at this age. Furthermore, androstenedione appears to be inversely associated with CIMT.
{"Chemical": ["androgens", "androstenedione"]}