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PMC:7319613 / 69-1291 JSONTXT

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LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T3 10-21 NCBITaxon:11118 denotes coronavirus
T4 31-39 SP_7 denotes COVID-19
T5 65-77 SP_7 denotes severe acute
T6 78-89 SP_7;UBERON:0001004 denotes respiratory
T7 90-112 SP_7 denotes syndrome coronavirus 2
T8 114-124 SP_7 denotes SARS-CoV-2
T9 182-187 UBERON:0010230 denotes globe
T10 241-246 SP_6;NCBITaxon:9606 denotes human
T11 458-469 UBERON:0001004 denotes respiratory
T12 499-509 SP_7 denotes SARS-CoV-2
T13 696-706 GO:0007596 denotes thrombosis
T14 721-733 GO:0001525 denotes angiogenesis
T15 800-808 SP_7 denotes COVID-19
T16 1012-1021 GO:0008152 denotes metabolic
T17 1180-1186 UBERON:0000467 denotes health
T18 1192-1198 UBERON:0000467 denotes system
T33977 10-21 NCBITaxon:11118 denotes coronavirus
T54693 31-39 SP_7 denotes COVID-19
T19687 65-77 SP_7 denotes severe acute
T80926 78-89 SP_7;UBERON:0001004 denotes respiratory
T41664 90-112 SP_7 denotes syndrome coronavirus 2
T27805 114-124 SP_7 denotes SARS-CoV-2
T12112 182-187 UBERON:0010230 denotes globe
T95977 241-246 SP_6;NCBITaxon:9606 denotes human
T49425 458-469 UBERON:0001004 denotes respiratory
T58804 499-509 SP_7 denotes SARS-CoV-2
T51112 696-706 GO:0007596 denotes thrombosis
T74794 721-733 GO:0001525 denotes angiogenesis
T55040 800-808 SP_7 denotes COVID-19
T78757 1012-1021 GO:0008152 denotes metabolic
T59988 1180-1186 UBERON:0000467 denotes health
T59568 1192-1198 UBERON:0000467 denotes system

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T2 31-39 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 65-112 Disease denotes severe acute respiratory syndrome coronavirus 2 http://purl.obolibrary.org/obo/MONDO_0100096
T4 65-98 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T5 114-122 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T6 247-257 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T7 458-487 Disease denotes respiratory distress syndrome http://purl.obolibrary.org/obo/MONDO_0009971
T8 499-507 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T9 510-519 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T10 696-706 Disease denotes thrombosis http://purl.obolibrary.org/obo/MONDO_0000831
T11 800-808 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T12 1000-1007 Disease denotes obesity http://purl.obolibrary.org/obo/MONDO_0011122

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 126-129 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T2 137-138 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 226-227 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 241-246 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T5 431-434 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T6 547-548 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 939-943 http://purl.obolibrary.org/obo/UBERON_0003101 denotes male
T8 939-943 http://www.ebi.ac.uk/efo/EFO_0000970 denotes male

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 939-943 Chemical denotes male http://purl.obolibrary.org/obo/CHEBI_30780

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
18 65-112 Species denotes severe acute respiratory syndrome coronavirus 2 Tax:2697049
19 114-124 Species denotes SARS-CoV-2 Tax:2697049
20 241-246 Species denotes human Tax:9606
21 809-817 Species denotes patients Tax:9606
22 4-29 Disease denotes novel coronavirus disease MESH:C000657245
23 31-39 Disease denotes COVID-19 MESH:C000657245
24 247-257 Disease denotes infections MESH:D007239
25 458-487 Disease denotes respiratory distress syndrome MESH:D012128
26 499-519 Disease denotes SARS-CoV-2 infection MESH:C000657245
27 594-601 Disease denotes dyspnea MESH:D004417
28 665-687 Disease denotes vascular abnormalities MESH:D000783
29 696-706 Disease denotes thrombosis MESH:D013927
30 800-808 Disease denotes COVID-19 MESH:C000657245
31 884-893 Disease denotes mortality MESH:D003643
32 1000-1007 Disease denotes obesity MESH:D009765
33 1012-1034 Disease denotes metabolic dysfunctions MESH:D008659

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 458-478 Phenotype denotes respiratory distress http://purl.obolibrary.org/obo/HP_0002098
T2 594-601 Phenotype denotes dyspnea http://purl.obolibrary.org/obo/HP_0002094
T3 641-661 Phenotype denotes intrapulmonary shunt http://purl.obolibrary.org/obo/HP_0031225
T4 665-687 Phenotype denotes vascular abnormalities http://purl.obolibrary.org/obo/HP_0002597
T5 1000-1007 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 721-733 http://purl.obolibrary.org/obo/GO_0001525 denotes angiogenesis

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T3 0-188 Sentence denotes The novel coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a major health (& economic) issue across the globe.
T4 189-288 Sentence denotes As of June 20th, more than eight and a half million human infections have been confirmed worldwide.
T5 289-453 Sentence denotes While the exact pathophysiology is still investigated, significant individual variability in the disease severity and subsequent consequences has been demonstrated.
T6 454-759 Sentence denotes The respiratory distress syndrome related to SARS-CoV-2 infection seems highly specific with a desaturation despite sometimes an absence of dyspnea and distinct manifestations like large intrapulmonary shunt or vascular abnormalities such as thrombosis and increased angiogenesis (Ackermann et al., 2020).
T7 760-1056 Sentence denotes Current evidence from large prospective COVID-19 patients cohort studies suggests that the key independent risk factors for mortality and severe complications include higher age, male sex and chronic comorbidities, predominantly related to obesity and metabolic dysfunctions (Liang et al., 2020).
T8 1057-1222 Sentence denotes Fast identification of “more-at-risk” populations is key for optimization of therapy selection and timing, especially when health care system capacities are limited.