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:

Effects of heat treatment on conformation and cell growth activity of alpha- lactalbumin and beta-lactoglobulin from market milk Heat processes, low temperature for long time (LTLT) pasteurization and ultra-heat treatment (UHT) sterilization, are essential for commercial market milk to improve the shelf life of raw milk and ensure microbial safety. We evaluated the effects of heat experience on the molecular properties of α-lactalbumin (α-LA) and β-lactoglobulin (β-LG) isolated from four types of market milk such as LTLT-A (66°C for 30 min), LTLT-B (65°C for 30 min), UHT-I (130°C for 2 s, indirect heating) and UHT-D (135°C for 2 s, direct heating) samples. We examined molecular conformations using circular dichroism spectrum measurement and cell growth activity using the WST-1 method for the proteins. α-LA isolated from each of these four types of market milk displayed no significant structural difference as compared to raw milk α-LA, while α-LA of UHT-I only inhibited cell growth of an intestinal epithelial cell line more potently than raw milk α-LA. In the case of β-LG, only the UHT-I sample demonstrated a drastic change in structure, while it did not exhibit any cytotoxicity. We found that cell viability effects of α-LA and β-LG are attributable to the type of UHT; indirect and direct. These findings indicate that the effect of heat treatment on whey proteins should carefully be investigated further.
{"AnatomicalStructure": ["epithelial cell line", "intestinal"], "Bacterium": [], "BiologicFunction": ["cytotoxicity", "cell growth", "cell viability"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["beta-lactoglobulin", "alpha- lactalbumin", "\u03b2-LG", "structure", "\u03b2-lactoglobulin", "structural", "proteins", "\u03b1-lactalbumin", "\u03b1-LA"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["no significant", "did not exhibit", "findings"], "Food": ["milk", "whey proteins"], "HealthCareActivity": ["UHT-I", "circular dichroism spectrum measurement", "ultra-heat treatment (UHT) sterilization", "UHT", "UHT-D"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["WST-1 method"], "SpatialConcept": ["market", "conformation", "molecular conformations"], "Virus": []}