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 cathelicidin LL-37 enhance the antibiofilm effect of EGCG on Streptococcus mutans Streptococcus mutans forms biofilms as a resistance mechanism against antimicrobial agents in the human oral cavity. We recently showed that human cathelicidin LL-37 exhibits inhibitory effects on biofilm formation of S. mutans through interaction with lipoteichoic acid (LTA), but without antibacterial or biofilm dispersal abilities. (-)-Epigallocatechin gallate (EGCG) is the most abundant constituent of tea catechins that has the greatest anti-infective potential to inhibit the growth of various microorganisms and biofilm formation. Therefore, in this study, we evaluated whether LL-37 interacts with EGCG to enhance the antibiofilm effect of EGCG on S. mutans biofilm formation. Clinical S. mutans strains (n = 10) isolated from children's saliva were tested in a biofilm formation assay. The antibiofilm effect of EGCG with and without LL-37 was analyzed by the minimum biofilm eradication concentration assay and confirmed using field emission-scanning electron microscopy. In addition, the interaction among EGCG, LL-37, and LTA of S. mutans was determined using quartz crystal microbalance analysis. EGCG killed 100 % of planktonic S. mutans within 5 h, inhibited biofilm formation within 24 h, and reduced bacteria cells in preformed biofilms within 3 h at a concentration of 0.2 mg/mL. However, EGCG did not appear to interact with LTA. LL-37 effectively enhanced the bactericidal activity of EGCG against biofilm formation and preformed biofilms as determined by quantitative crystal violet staining and field emission-scanning electron microscopy. In addition, quartz crystal microbalance analysis revealed that LL-37 interacted with EGCG and promoted binding between EGCG and LTA of S. mutans. We show that LL-37 enhances the antibiofilm effect of EGCG on S. mutans. This finding provides new knowledge for dental treatment by using LL-37 as a potential antibiofilm compound.
{"AnatomicalStructure": [], "Bacterium": ["bacteria cells", "S. mutans", "biofilms", "Streptococcus mutans", "biofilm", "planktonic"], "BiologicFunction": ["binding", "bactericidal activity", "inhibit the growth", "biofilm formation"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["saliva"], "BodySystem": [], "Chemical": ["Human cathelicidin LL-37", "human cathelicidin LL-37", "crystal violet", "(-)-Epigallocatechin gallate", "antimicrobial agents", "catechins", "antibiofilm compound", "LTA", "EGCG", "lipoteichoic acid", "LL-37"], "ClinicalAttribute": [], "Eukaryote": ["human"], "Finding": ["antibiofilm effect", "antibacterial", "anti-infective potential"], "Food": ["tea"], "HealthCareActivity": ["emission-scanning electron microscopy", "evaluated", "dental treatment", "assay", "staining"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["analyzed", "quartz crystal microbalance analysis"], "SpatialConcept": ["oral cavity", "dispersal abilities"], "Virus": []}