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:

Decreased Frequencies of Peripheral Blood CD4+CD25+CD127-Foxp3+ in Patients with Graves' Disease and Graves' Orbitopathy: Enhancing Effect of Insulin Growth Factor-1 on Treg Cells Graves' orbitopathy (GO) is characterized by orbital T cell infiltration. We evaluated the regulatory T (Treg) cell fractions induced with IGF-1 in Graves' disease (GD) with and without GO. Peripheral blood mononuclear cells (PBMCs) were obtained from 13 patients with GD without eye manifestations; 10 patients with active GO; and 12 patients with nodular goiter (NG). All the patients from GD, GO, and NG were subclinical hyperthyroid. We analyzed the expression of Treg cell markers (CD4, CD25, CD127(-), Foxp3) on T cells and their ability to respond to IGF-1 stimulation. In patients with GD without GO, we found lowered percentages of CD4(+) Foxp3(+) cells, as compared to nodular goiter 1.77 vs. 5.42% (p=0.0276). Similarly, significantly reduced frequencies of CD4(+)CD25(+)CD127(-)Foxp3(+) and CD4(+)CD25(+)CD127(-) cells were observed in GD patients as compared to nodular goiter patients with hyperthyreosis, (0.7 vs. 1.48%) (p=0.0071) and (14.5 vs. 37.2%) (p=0.0051), respectively. In GO with active GO, only the percentage of CD4(+)CD25(+)CD127(-) cells was found to be decreased versus nodular goiter (9.35 vs. 37.2) (p=0.0275). Stimulation of PBMC derived from GO patients with IGF-1 resulted in significant increase of frequency of both CD4(+) Foxp3(+) and CD4(+)CD25(+)CD127(-) Foxp3 cells. Decreased frequencies of peripheral blood CD4(+)CD25(+)CD127(-)Foxp3(+) in patients with GD and GO could be an useful marker of autoimmune process and perhaps a possible target for future therapies. This is the first study demonstrating Treg - enhancing effects of IGF-1. Thus IGF-1 can be accounted for modulating Treg cell -related action in GO.
{"AnatomicalStructure": ["orbital T cell", "CD4(+) Foxp3(+) cells", "Peripheral blood mononuclear cells", "PBMC", "Treg", "Treg cell", "CD4(+) Foxp3(+)", "PBMCs", "T cells", "CD4(+)CD25(+)CD127(-)Foxp3(+)", "CD4(+)CD25(+)CD127(-) Foxp3 cells", "CD4+CD25+CD127-Foxp3+", "CD4(+)CD25(+)CD127(-) cells", "regulatory T (Treg) cell", "Treg Cells"], "Bacterium": [], "BiologicFunction": ["Graves\u0027 disease", "Graves\u0027 Orbitopathy", "infiltration", "NG", "nodular goiter", "Graves\u0027 Disease", "GD", "Graves\u0027 orbitopathy", "GO", "hyperthyreosis", "autoimmune process"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["peripheral blood", "Peripheral Blood"], "BodySystem": [], "Chemical": ["CD25", "CD127(-)", "Insulin Growth Factor-1", "Foxp3", "IGF-1", "CD4"], "ClinicalAttribute": ["useful marker"], "Eukaryote": [], "Finding": ["eye manifestations"], "Food": [], "HealthCareActivity": ["evaluated", "expression of Treg cell markers"], "InjuryOrPoisoning": [], "IntellectualProduct": ["respond to"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["analyzed", "study"], "SpatialConcept": ["modulating"], "Virus": []}