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:

Urinary enzymes and protein patterns as indicators of injury to different regions of the kidney. Acute experimental models of renal damage to the proximal tubular, glomerular, and papillary regions of the rat were produced by administration of hexachloro-1:3-butadiene (HCBD), puromycin aminonucleoside (PAN), and 2-bromoethylamine (BEA), respectively. Several routine indicators of nephrotoxicity, the enzymes alkaline phosphatase and N-acetyl-beta-glucosaminidase, and the molecular weight of protein excretion were determined on urine samples. Tubular damage produced by HCBD or BEA was discriminated both quantitatively and qualitatively from glomerular damage produced by PAN. The latter was characterized by a pronounced increase in protein excretion, especially proteins with molecular weight greater than 40,000 Da. In contrast, protein excretion in tubular damage was raised only slightly and characterized by excretion of proteins of a wide range of molecular weights. Proximal tubular damage caused by HCBD and papillary damage caused by BEA were distinguished both by conventional urinalysis (volume and specific gravity) and by measurement of the two urinary enzymes. Alkaline phosphatase and glucose were markedly and transiently elevated in proximal tubular damage and N-acetyl-beta-glucosaminidase showed a sustained elevation in papillary damage. It is concluded that both selective urinary enzymes and the molecular weight pattern of urinary proteins can be used to provide diagnostic information about the possible site of renal damage.
{"Chemical": ["PAN", "glucose", "hexachloro-1:3-butadiene", "BEA", "2-bromoethylamine", "puromycin aminonucleoside", "HCBD"], "Disease": ["glomerular damage", "renal damage", "nephrotoxicity", "excretion of proteins", "protein excretion", "Acute experimental models of renal damage", "injury to different regions of the kidney"]}