{
    "biomarker_id": "AN6360-1",
    "biomarker_canonical_id": "AN6360",
    "condition": {
        "recommended_name": {
            "id": "DOID:9351",
            "resource": "Disease Ontology",
            "url": "https://disease-ontology.org/term/DOID:9351",
            "name": "diabetes mellitus",
            "description": "A glucose metabolism disease that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both."
        },
        "synonyms": [
            {
                "id": "DOID:9351",
                "resource": "Disease Ontology",
                "url": "https://disease-ontology.org/term/DOID:9351",
                "name": "diabetes",
                "description": ""
            }
        ],
        "id": "DOID:9351"
    },
    "biomarker_component": [
        {
            "biomarker": "increased calprotectin levels",
            "assessed_biomarker_entity_id": "P05109-1",
            "assessed_entity_type": "protein",
            "assessed_biomarker_entity": {
                "recommended_name": "Protein S100-A8",
                "synonyms": [
                    {
                        "synonym": "Migration inhibitory factor-related protein 8"
                    },
                    {
                        "synonym": "p8"
                    },
                    {
                        "synonym": "MRP-8"
                    },
                    {
                        "synonym": "Cystic fibrosis antigen"
                    },
                    {
                        "synonym": "CFAG"
                    },
                    {
                        "synonym": "Calprotectin L1L subunit"
                    },
                    {
                        "synonym": "Urinary stone protein band A"
                    },
                    {
                        "synonym": "S100 calcium-binding protein A8"
                    },
                    {
                        "synonym": "Calgranulin-A"
                    },
                    {
                        "synonym": "Leukocyte L1 complex light chain"
                    }
                ]
            },
            "specimen": [
                {
                    "name": "blood",
                    "namespace": "UBERON",
                    "id": "0000178",
                    "url": "http://purl.obolibrary.org/obo/UBERON_0000178",
                    "loinc_code": "26484-6"
                }
            ],
            "evidence_source": [
                {
                    "id": "AN6360-1",
                    "database": "BiomarkerKB",
                    "url": "https://biomarkerkb.org/biomarker/AN6360-1"
                },
                {
                    "id": "32810439",
                    "database": "PubMed",
                    "url": "https://glygen.org/publication/PubMed/32810439",
                    "tags": [
                        "assessed_biomarker_entity",
                        " biomarker",
                        " specimen"
                    ],
                    "evidence_list": [
                        {
                            "evidence": "We performed high dimensional flow cytometry and single cell RNA sequencing of COVID-19 patient peripheral blood cells and detected the disappearance of non-classical CD14LowCD16High monocytes, the accumulation of HLA-DRLow classical monocytes, and the release of massive amounts of calprotectin (S100A8/S100A9) in severe cases. Immature CD10LowCD101-CXCR4+/- neutrophils with an immuno-suppressive profile accumulated as well in blood and lungs, suggesting emergency myelopoiesis. We finally showed that calprotectin plasma level and a routine flow cytometry assay detecting decreased frequencies of non-classical monocytes could discriminate patients who develop a severe COVID-19 form, suggesting a predictive value that deserves prospective evaluation."
                        }
                    ]
                }
            ]
        }
    ],
    "best_biomarker_role": [
        {
            "role": "prognostic"
        }
    ],
    "evidence_source": [
        {
            "id": "AN6360-1",
            "database": "BiomarkerKB",
            "url": "https://biomarkerkb.org/biomarker/AN6360-1"
        },
        {
            "id": "32810439",
            "database": "PubMed",
            "url": "https://glygen.org/publication/PubMed/32810439",
            "tags": [
                "best_biomarker_role",
                " condition"
            ],
            "evidence_list": [
                {
                    "evidence": "We performed high dimensional flow cytometry and single cell RNA sequencing of COVID-19 patient peripheral blood cells and detected the disappearance of non-classical CD14LowCD16High monocytes, the accumulation of HLA-DRLow classical monocytes, and the release of massive amounts of calprotectin (S100A8/S100A9) in severe cases. Immature CD10LowCD101-CXCR4+/- neutrophils with an immuno-suppressive profile accumulated as well in blood and lungs, suggesting emergency myelopoiesis. We finally showed that calprotectin plasma level and a routine flow cytometry assay detecting decreased frequencies of non-classical monocytes could discriminate patients who develop a severe COVID-19 form, suggesting a predictive value that deserves prospective evaluation."
                }
            ]
        }
    ],
    "crossref": [
        {
            "id": "AN6360-1",
            "database": "BiomarkerKB",
            "url": "https://biomarkerkb.org/biomarker/AN6360-1",
            "categories": [
                "Biomarkers"
            ]
        }
    ],
    "citation": [
        {
            "title": "Elevated Calprotectin and Abnormal Myeloid Cell Subsets Discriminate Severe from Mild COVID-19.",
            "journal": "Cell",
            "authors": "Silvin Aymeric, Chapuis Nicolas, Dunsmore Garett, Goubet Anne-Ga\u00eblle, Dubuisson Agathe, Derosa Lisa, Almire Carole, H\u00e9non Cl\u00e9mence, Kosmider Olivier, Droin Nathalie, Rameau Philippe, Catelain Cyril, Alfaro Alexia, Dussiau Charles, Friedrich Chlo\u00e9, Sourdeau Elise, Marin Nathalie, Szwebel Tali-Anne, Cantin Delphine, Mouthon Luc, Borderie Didier, Deloger Marc, Bredel Delphine, Mouraud Severine, Drubay Damien, Andrieu Muriel, Lhonneur Anne-Sophie, Saada V\u00e9ronique, Stoclin Annabelle, Willekens Christophe, Pommeret Fanny, Griscelli Frank, Ng Lai Guan, Zhang Zheng, Bost Pierre, Amit Ido, Barlesi Fabrice, Marabelle Aur\u00e9lien, P\u00e8ne Fr\u00e9d\u00e9ric, Gachot Bertrand, Andr\u00e9 Fabrice, Zitvogel Laurence, Ginhoux Florent, Fontenay Michaela, Solary Eric",
            "date": "2020-09-17",
            "reference": [
                {
                    "type": "PubMed",
                    "id": "32810439",
                    "url": "https://glygen.org/publication/PubMed/32810439"
                }
            ],
            "evidence": [
                {
                    "id": "AN6372-7",
                    "database": "BiomarkerKB",
                    "url": "https://biomarkerkb.org/biomarker/AN6360-1"
                }
            ]
        }
    ],
    "section_stats": [
        {
            "table_id": "biomarker_component",
            "table_stats": [
                {
                    "field": "total",
                    "count": 1
                }
            ],
            "sort_fields": [
                "biomarker",
                "assessed_biomarker_entity_id",
                "assessed_entity_type",
                "assessed_biomarker_entity.recommended_name"
            ]
        },
        {
            "table_id": "citation",
            "table_stats": [
                {
                    "field": "total",
                    "count": 1
                }
            ],
            "sort_fields": [
                "title",
                "journal",
                "authors",
                "date"
            ]
        }
    ]
}