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:

Human Umbilical Cord Blood - Derived Neural Stem Cell Line as a Screening Model for Toxicity The aim was to investigate whether a human neural stem cell (NSC) line derived from human umbilical cord blood (hUCB) can be used for toxicity study. Toxicity of both neurotoxic environmental xenobiotics, methyl mercury chloride (CH3HgCl), lead acetate (CH3COOPb), and chlorpyrifos (CP), and non-neurotoxic insecticide, dichlorvos, as well as non-neurotoxic drugs, theophylline and acetaminophen were assessed. Additionally, differentiation of neuronal and glial cell lines derived from hUCB was elucidated. It was observed that CH3HgCl was more toxic to human NSCs in comparison to CH3COOPb and CP. The minimum inhibitory concentration (MIC) value against NSCs was 3, 10, and 300 mg/L, in each staining process, acridine orange / ethidium bromide (AO / EB) staining, 3-(4,5-dimethylthiazol-2-yl)2,5-diphenyl tetrazolium bromide (MTT) assay, and Hoechst staining, for CH3HgCl, CP, and CH3COOPb, respectively. CH3HgCl had the LC25 value as 10.0, 14.4, and 12.7 mg/L, by staining method mentioned in succession. CP had the LC25 value as 21.9, 23.7, and 18.4 mg/L; similarly, CH3COOPb had LC25 values, successively as 616.9, 719.2, and 890.3 mg/L. LC50 values ranged from 18.2 to 21.7 mg/L for CH3HgCl, 56.4 to 60.2 mg/L for CP, and 1000 to 1460.1 for CH3COOPb. Theophylline, acetaminophen, and dichlorvos had no impact on the viability of NSCs. This work justified that hUCB - NSC model can be used for toxicity study.
{"AnatomicalStructure": ["NSC", "Neural Stem Cell Line", "glial cell lines", "line", "NSCs", "neural stem cell"], "Bacterium": [], "BiologicFunction": [], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["Umbilical Cord Blood", "umbilical cord blood", "hUCB"], "BodySystem": [], "Chemical": ["lead acetate", "ethidium bromide", "drugs", "acetaminophen", "insecticide", "dichlorvos", "CH3COOPb", "CH3HgCl", "3-(4,5-dimethylthiazol-2-yl)2,5-diphenyl tetrazolium bromide", "acridine orange", "AO", "chlorpyrifos", "xenobiotics", "CP", "EB", "theophylline", "methyl mercury chloride", "MTT", "Theophylline"], "ClinicalAttribute": [], "Eukaryote": ["human", "Human"], "Finding": ["minimum inhibitory concentration (MIC) value", "non-neurotoxic"], "Food": [], "HealthCareActivity": ["staining method", "staining process", "assay", "staining", "Screening"], "InjuryOrPoisoning": ["Toxicity", "toxicity"], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["study"], "SpatialConcept": ["environmental"], "Virus": []}