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: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. 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:

Association of prenatal and early life exposure to tetrachloroethylene (PCE) with polycystic ovary syndrome and other reproductive disorders in the cape cod health study: A retrospective cohort study Tetrachloroethylene (PCE) is an organic lipophilic solvent with possible neuroendocrine toxicity. The objective of this study was to determine the association of prenatal and early childhood exposure to PCE - contaminated drinking water and development of adult-onset Polycystic Ovary Syndrome (PCOS), endometriosis, difficulty conceiving and miscarriage. Five-hundred exposed and 331 unexposed female participants born between 1969 and 1983 completed questionnaires on demographic and lifestyle characteristics, and reproductive disorders. Residential locations from the prenatal period through five years of age were used to estimate early life PCE exposure with water modeling software. For any early life exposure to PCE, the adjusted risk ratio for PCOS was 0.9 (95% CI: 0.5-1.6). No statistically significan t associations were observed for increasing levels of exposure with PCOS or the other reproductive disorders. No meaningful associations were found among adult women with early life exposure to PCE - contaminated drinking water and adult-onset reproductive disorders.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["endometriosis", "miscarriage", "Polycystic Ovary Syndrome", "PCOS", "development", "polycystic ovary syndrome"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": ["neuroendocrine"], "Chemical": ["PCE", "solvent", "tetrachloroethylene", "Tetrachloroethylene"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["found", "adult-onset", "difficulty conceiving"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": ["water modeling software", "questionnaires", "objective"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["participants", "women", "unexposed"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["retrospective cohort study", "study", "health study"], "SpatialConcept": ["Residential locations", "cape cod"], "Virus": []}