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:

Is the inactivation of dentin proteases by crosslinkers reversible? Inactivation of dentin proteases by crosslinkers has been suggested as a way to prevent the degradation of dentin collagen in the hybrid layer. However, it is not known if the inhibition is reversible. The aim of this study was to evaluate the inactivation effect of various crosslinkers on dentin protease activity over a period of 6 months. Demineralized dentin beams (1×2×6mm, n=10/group) were treated with (1) 1% glutaraldehyde (GA1), (2) 5% glutaraldehyde (GA5), (3) 1% grape seed extract (GS1), (4) 5% grape seed extract (GS5), (5) 10% sumac berry extract (S), (6) 20μM curcumin (CR20), and (7) 200μM curcumin (CR200) for 5min. Untreated beams served as control. The beams were incubated up to 6 months and incubation media were used to analyze solubilized telopeptide (ICTP and CTX) fragments as indicators of MMP - and cathepsin K -mediated degradation after 1, 3 and 6 months of incubation. The relative MMP activity of dentin beams was tested using a generic MMP assay. Data were analyzed using repeated-measures ANOVA, α=0.05. All treated groups showed significant decrease in CTX release (32.2-469.5pg/mg dentin) and ICTP (1.8-47.6ng/mg dentin) fragments during the first month of incubation compared to control (1159pg/mg and 72.9ng/mg dentin, respectively). GA5, GS5 and CR200 maintained their inhibitory effect during 6-month incubation. The results were confirmed by dry mass loss and relative MMP activity following 6 months. The results of this study indicate that the long-term effect is both crosslinker and dose dependent.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["degradation", "activity"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["dentin"], "BodySystem": [], "Chemical": ["glutaraldehyde", "GA1", "MMP", "beams", "fragments", "cathepsin K", "incubation media", "crosslinker", "20\u03bcM curcumin", "GS1", "curcumin", "telopeptide", "GS5", "CR200", "protease", "crosslinkers", "collagen", "dentin beams", "GA5", "CR20", "ICTP", "Demineralized dentin beams", "proteases", "CTX", "grape seed extract"], "ClinicalAttribute": [], "Eukaryote": ["sumac berry extract", "S"], "Finding": ["Untreated"], "Food": [], "HealthCareActivity": ["incubation", "assay", "incubated"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["analyzed", "study", "analyze"], "SpatialConcept": [], "Virus": []}