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: ["Disease", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Naloxone", ...], "Disease" : ["Hypotensive", ...]}. 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:

Transketolase abnormality in tolazamide-induced Wernicke's encephalopathy. We studied a thiamine-dependent enzyme, transketolase, from fibroblasts of a diabetic patient who developed Wernicke's encephalopathy when treated with tolazamide, in order to delineate if this patient also had transketolase abnormality [high Km for thiamine pyrophosphate (TPP)], as previously reported in postalcoholic Wernicke-Korsakoff syndrome. In addition to this patient, we also studied this enzyme from three diabetic kindreds without any history of Wernicke's encephalopathy and from four normal controls. We found that the above-mentioned patient and one of the diabetic kindreds with no history of Wernicke's encephalopathy had abnormal transketolase as determined by its Km for TPP. These data suggest a similarity between postalcoholic Wernicke-Korsakoff syndrome and the patient with tolazamide-induced Wernicke's encephalopathy from the standpoint of transketolase abnormality.
{"Chemical": ["tolazamide", "thiamine", "TPP", "thiamine pyrophosphate"], "Disease": ["Wernicke\u0027s encephalopathy", "diabetic", "Wernicke-Korsakoff syndrome"]}