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:

Long Noncoding RNAs in Cardiovascular Pathology, Diagnosis, and Therapy Vast parts of mammalian genomes encode for transcripts that are not further translated into proteins. The purpose of the majority of such noncoding ribonucleic acids (RNAs) remained paradoxical for a long time. However, a growing body of evidence demonstrates that long noncoding RNAs are dynamically expressed in different cell types, diseases, or developmental stages to execute a wide variety of regulatory roles at virtually every step of gene expression and translation. Indeed, long noncoding RNAs influence gene expression via epigenetic modulations, through regulating alternative splicing, or by acting as molecular sponges. The abundance of long noncoding RNAs in the cardiovascular system indicates that they may be part of a complex regulatory network governing physiology and pathology of the heart. In this review, we discuss the multifaceted functions of long noncoding RNAs and highlight the current literature with an emphasis on cardiac development and disease. Furthermore, as the enormous spectrum of long noncoding RNAs potentially opens up new avenues for diagnosis and prevention of heart failure, we ultimately evaluate the futuristic prospects of long noncoding RNAs as biomarkers, and therapeutic targets for the treatment of cardiovascular disorders, as well.
{"AnatomicalStructure": ["genomes", "cell types", "heart"], "Bacterium": [], "BiologicFunction": ["cardiac development", "cardiovascular disorders", "epigenetic modulations", "expressed", "pathology", "heart failure", "translation", "disease", "diseases", "gene expression", "regulatory network", "translated into proteins", "Cardiovascular Pathology", "alternative splicing", "regulating"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": ["cardiovascular system"], "Chemical": ["(RNAs)", "long noncoding RNAs", "targets", "transcripts", "Long Noncoding RNAs", "noncoding ribonucleic acids"], "ClinicalAttribute": ["biomarkers"], "Eukaryote": ["mammalian"], "Finding": [], "Food": [], "HealthCareActivity": ["treatment", "prevention", "Therapy"], "InjuryOrPoisoning": [], "IntellectualProduct": ["current literature"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["Diagnosis", "diagnosis"], "SpatialConcept": ["Furthermore", "multifaceted"], "Virus": []}