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:

Exercise increases lactoferrin, but decreases lysozyme in salivary granulocytes Intracellular lactoferrin (Lac) and lysozyme (Lys) content play an important role in regulating inflammation and promoting host protection. While exercise has demonstrated an increase in Lac and Lys concentration in exocrine solutions, little is known regarding intracellular concentration changes in response to exercise. To quantify intracellular Lac and Lys concentration before and after exercise in salivary CD45(+)CD15(+) cells. 11 males (20.3 ± 0.8 years, 57.2 ± 7.6 mL/kg/min V̇O2pk, 11.1 ± 3.9% body fat) ran for 45 min at 75% of VO2pk. 12 mL of stimulated saliva were collected pre and immediately post exercise. Saliva was filtered through a 30-µm filter before analysis of leukocytes (CD45(+)) and granulocytes (CD45(+)CD15(+)) using flow cytometry. Median fluorescent intensity (MFI) of Lac increased from pre (64,268 ± 46,036 MFI) to post (117,134 ± 88,115 MFI) exercise (p <0.05). Lys MFI decreased with exercise (pre: 16,933 ± 8249; post: 11,616 ± 6875) (p <0.05). Acute running resulted in an increased Lac concentration which could lead to a decrease in inflammation, adding further evidence of the anti-inflammatory effects of exercise. Conversely, the exercise -associated decrease of intracellular Lys content could be the cause of increased Lys in exocrine solutions.
{"AnatomicalStructure": ["leukocytes", "CD45(+)", "CD45(+)CD15(+) cells", "granulocytes", "CD45(+)CD15(+)"], "Bacterium": [], "BiologicFunction": ["inflammation", "host protection"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["Saliva", "stimulated saliva", "exocrine solutions"], "BodySystem": [], "Chemical": ["intracellular Lys", "lactoferrin", "lysozyme", "Lys", "Lac", "Intracellular lactoferrin"], "ClinicalAttribute": ["body fat"], "Eukaryote": [], "Finding": [], "Food": [], "HealthCareActivity": ["flow cytometry"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": ["salivary"], "Virus": []}