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:

Penicillamine-induced rapidly progressive glomerulonephritis in a patient with rheumatoid arthritis. A 67-year-old woman with rheumatoid arthritis presented rapidly progressive glomerulonephritis (RPGN) after 5 months of D-penicillamine (250 mg/day) treatment. Light microscopy study showed severe glomerulonephritis with crescent formation in 60% of the glomeruli and infiltration of inflammatory cells in the wall of an arteriole. Immunofluorescence revealed scanty granular IgG, IgA and C3 deposits along the capillary walls and mesangium. The patient was treated with steroid pulse, plasmapheresis, cyclophosphamide and antiplatelet agents. A complete recovery of renal function was achieved in a few weeks. This new case of RPGN in the course of D-penicillamine treatment emphasizes the need for frequent monitoring of renal function and evaluation of urinary sediment and proteinuria in these patients. The prompt discontinuation of D-penicillamine and vigorous treatment measures could allow for a good prognosis as in this case.
{"Chemical": ["Penicillamine", "antiplatelet agents", "steroid", "cyclophosphamide", "D-penicillamine"], "Disease": ["proteinuria", "RPGN", "rheumatoid arthritis", "glomerulonephritis"]}