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:

Immunopathology of penicillamine-induced glomerular disease. Four patients with rheumatoid arthritis developed heavy proteinuria after five to 12 months of treatment with D-penicillamine. Light microscopy of renal biopsy samples showed minimal glomerular capillary wall thickening and mesangial matrix increase, or no departure from normal. Electron microscopy, however, revealed subepithelial electron-dense deposits, fusion of epithelial cell foot processes, and evidence of mesangial cell hyperactivity. Immunofluorescence microscopy demonstrated granular capillary wall deposits of IgG and C3. The findings were similar to those in early membranous glomerulonephritis, differences being observed however in the results of staining for the early-acting complement components C1q and C4. It is tentatively concluded that complement was activated by the classical pathway.
{"Chemical": ["D-penicillamine", "penicillamine"], "Disease": ["glomerular disease", "membranous glomerulonephritis", "rheumatoid arthritis", "proteinuria"]}