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:

Detection of AMA-M2 in human saliva: Potentials in diagnosis and monitoring of primary biliary cholangitis Serum anti-mitochondrial antibody type 2 (AMA-M2) is considered as a pivotal biomarker for the diagnosis of primary biliary cholangitis (PBC). However, serological tests have many limitations, including inconvenience, invasiveness, and infection risks. Thus, a less invasive approach to detect AMA-M2 titer is desirable. We examined salivary AMA-M2 of potential PBC patients and found that AMA-M2 could be detected only in saliva of serum AMA-M2-positive PBC patients, but not in saliva of serum AMA-M2-negative PBC patients, oral lichen planus patients (OLP) patients, or healthy controls. Furthermore, the concentration of salivary AMA-M2 was positively correlated with the amount of serum AMA-M2 in patients. The salivary inflammatory cytokines were increased in the PBC, consistent with the results of serum test. These findings indicated that saliva might be a less invasive and cost-effective medium to accurately test for AMA-M2 levels and this is a promising development for the diagnosis and monitoring of PBC.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["oral lichen planus", "primary biliary cholangitis", "PBC", "OLP"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["salivary", "serum", "saliva", "Serum"], "BodySystem": [], "Chemical": ["inflammatory cytokines", "AMA-M2", "anti-mitochondrial antibody type 2"], "ClinicalAttribute": ["biomarker"], "Eukaryote": ["human"], "Finding": ["detected", "AMA-M2-negative", "infection risks", "diagnosis", "detect", "AMA-M2-positive"], "Food": [], "HealthCareActivity": ["monitoring", "AMA-M2 titer", "Detection", "test", "AMA-M2 levels", "serological tests"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": ["approach"], "Virus": []}