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: ["RNA", "CellLine", "Protein", "DNA", "CellType"].

Please return the output as a JSON object of the format: {"DNA" : ["TAL1", ...], "RNA": ["mRNAs", ...], "CellLine": ["T cells", ...], "CellType": ["monocytes", ...], "Protein": ["IL-2", ...]}. 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:

[ Effect of antihypertensive therapy with captopril on gluco-and mineralo corticoid receptors of peripheral blood lymphocytes in hypertensive patients of various age ] Binding of 3H-dexamethasone and 3H-aldosterone by peripheral lymphocyte receptors was investigated in healthy persons and hypertensive patients before and after 2-week captopril treatment. The number of glucocorticoid and mineralocorticoid binding sites was increased in hypertensives vs normotensives. The treatment with the ACE inhibitor captopril led to activation of hormone-receptor interactions. There was a more marked rise of the number of receptors in middle-aged (44-55 years) hypertensives vs elderly (61-80 years) subjects after captopril treatment.
{"CellLine": [], "CellType": ["peripheral blood lymphocytes"], "DNA": [], "Protein": ["glucocorticoid and mineralocorticoid binding sites", "mineralocorticoid binding sites", "gluco - and mineralo corticoid receptors", "glucocorticoid", "receptors", "peripheral lymphocyte receptors"], "RNA": []}