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:

Body burden of heavy metals among HIV high risk population in USA HIV high risk population may face not only the threat of HIV infection but also a higher chance of exposure to environmental contaminants. However, no previous studies have examined the body burden of environmental pollutants including heavy metals among HIV high risk populations. The aim of this study was to investigate whether adults aged 20-59 years old at high risk of HIV infection have higher blood levels of heavy metals compared to those with low risk of HIV infection in United States. We used the National Health and Nutrition Examination Survey (NHANES) 1999-2010 to compare exposures to heavy metals including cadmium, lead, and total mercury by HIV risk status. The results showed that people at high risk of HIV had higher blood concentrations of all heavy metals compared to their counterparts with lower HIV risks. In multivariate linear regression models, HIV risk status was significantly associated with increased blood cadmium, lead, and total mercury after adjusting for age, sex, race, education, and poverty income ratio. Our study suggests that people at high risk of HIV have significantly higher body burden of heavy metals including cadmium, lead, and mercury compared to those with low risk of HIV. Further longitudinal study collecting more pollutants are warranted to determine the potential health effects of these elevated pollutants on both HIV-infected and HIV high-risk populations.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["HIV-infected", "HIV infection"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["heavy metals", "cadmium", "environmental pollutants", "lead", "pollutants", "mercury"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["blood levels of heavy metals", "high risk of", "risk status", "blood concentrations"], "Food": [], "HealthCareActivity": ["lead", "blood cadmium", "total mercury"], "InjuryOrPoisoning": ["exposure to environmental contaminants"], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["race", "people", "high risk populations", "high-risk populations", "high risk population"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["study", "longitudinal study", "studies", "National Health and Nutrition Examination Survey", "NHANES"], "SpatialConcept": ["USA", "United States"], "Virus": []}