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:

Hypovitaminosis D and Associated Cardiometabolic Risk in Women with PCOS Women with Polycystic Ovary Syndrome (PCOS) frequently suffer from metabolic disturbances like insulin resistance, hypertension and atherogenic dyslipidemia. Accumulating evidences suggest that Vitamin D deficiency is common in PCOS and may be associated with metabolic and endocrinal dysfunctions in PCOS. Thus women with PCOS may be at elevated risk of cardiovascular disease. Present study aims to evaluate Vitamin D status and to assess its association with metabolic and endocrinal dysregulations in women with PCOS, which might help in early identification and prevention of future symptomatic cardiac disease. A total of 44 women with PCOS, diagnosed by Rotterdam criteria and 45 healthy control without PCOS, were evaluated for Vitamin D and cardiometabolic risk factors, including fasting plasma glucose, insulin resistance, dyslipidemia, hs-CRP. That apart, several endocrinal parameters of hyperandrogenism were also examined. Several correlation studies were determined to establish the role of Vitamin D as a cardiometabolic risk factor in PCOS. Results were expressed as mean±SD and were statistically analysed using SPSS software version 16, unpaired student's t-test and Pearson's correlation coefficient. We found lower levels of Vitamin D, which was statistically significant as compared to healthy controls. Hyperinsulinemia, rise in insulin resistance and marked dyslipidemia was observed in the present study. Another relevant finding was significant correlation of Vitamin D with insulin and Homeostatic Model of Assessment- Insulin Resistance Index (HOMA-IR). Hypovitaminosis D was prevalent in PCOS. This was related to metabolic and hormonal disorders in PCOS. Possibly this combined with impaired fasting glucose, IR and dyslipidemia, could account for Cardio vascular risks in PCOS. Further prospective observational studies and randomized control trials are required to explore the above hypothesis.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["Hypovitaminosis D", "Hyperinsulinemia", "dyslipidemia", "metabolic", "insulin resistance", "Polycystic Ovary Syndrome", "cardiac disease", "PCOS", "cardiovascular disease", "hyperandrogenism", "hypertension", "atherogenic dyslipidemia", "Vitamin D deficiency", "IR"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["Vitamin D", "insulin"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["cardiometabolic risk factor", "fasting plasma glucose", "hormonal disorders", "impaired fasting glucose", "hs-CRP", "cardiometabolic risk factors", "Accumulating"], "Food": [], "HealthCareActivity": ["HOMA-IR", "Homeostatic Model of Assessment- Insulin Resistance Index"], "InjuryOrPoisoning": [], "IntellectualProduct": ["unpaired student\u0027s t-test", "Rotterdam criteria", "observational studies", "SPSS software version 16"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["Women", "women"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["randomized control trials", "correlation studies", "study"], "SpatialConcept": [], "Virus": []}