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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 112-122 Body_part denotes intestinal http://purl.org/sig/ont/fma/fma7199
T2 845-852 Body_part denotes stomach http://purl.org/sig/ont/fma/fma7148
T3 1255-1262 Body_part denotes stomach http://purl.org/sig/ont/fma/fma7148
T4 1267-1277 Body_part denotes intestinal http://purl.org/sig/ont/fma/fma7199
T5 1288-1298 Body_part denotes enterocyte http://purl.org/sig/ont/fma/fma62122
T6 1374-1384 Body_part denotes enterocyte http://purl.org/sig/ont/fma/fma62122
T7 1466-1473 Body_part denotes stomach http://purl.org/sig/ont/fma/fma7148
T8 1482-1492 Body_part denotes intestinal http://purl.org/sig/ont/fma/fma7199
T9 1597-1604 Body_part denotes stomach http://purl.org/sig/ont/fma/fma7148
T10 1613-1621 Body_part denotes duodenum http://purl.org/sig/ont/fma/fma7206
T11 1793-1803 Body_part denotes enterocyte http://purl.org/sig/ont/fma/fma62122

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 845-852 Body_part denotes stomach http://purl.obolibrary.org/obo/UBERON_0000945
T2 1255-1262 Body_part denotes stomach http://purl.obolibrary.org/obo/UBERON_0000945
T3 1466-1473 Body_part denotes stomach http://purl.obolibrary.org/obo/UBERON_0000945
T4 1597-1604 Body_part denotes stomach http://purl.obolibrary.org/obo/UBERON_0000945
T5 1613-1621 Body_part denotes duodenum http://purl.obolibrary.org/obo/UBERON_0002114

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 274-281 Disease denotes malaria http://purl.obolibrary.org/obo/MONDO_0005136
T2 286-304 Disease denotes rheumatic diseases http://purl.obolibrary.org/obo/MONDO_0005554
T3 387-395 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 513-516 Disease denotes MAT http://purl.obolibrary.org/obo/MONDO_0017988
T5 686-689 Disease denotes MAT http://purl.obolibrary.org/obo/MONDO_0017988
T6 948-951 Disease denotes MAT http://purl.obolibrary.org/obo/MONDO_0017988
T7 1085-1088 Disease denotes MAT http://purl.obolibrary.org/obo/MONDO_0017988
T8 1829-1832 Disease denotes MAT http://purl.obolibrary.org/obo/MONDO_0017988

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 0-1 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T2 112-122 http://purl.obolibrary.org/obo/UBERON_0000160 denotes intestinal
T3 112-122 http://www.ebi.ac.uk/efo/EFO_0000834 denotes intestinal
T4 318-321 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T5 476-477 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T6 656-661 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T7 839-844 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T8 1267-1277 http://purl.obolibrary.org/obo/UBERON_0000160 denotes intestinal
T9 1267-1277 http://www.ebi.ac.uk/efo/EFO_0000834 denotes intestinal
T10 1482-1492 http://purl.obolibrary.org/obo/UBERON_0000160 denotes intestinal
T11 1482-1492 http://www.ebi.ac.uk/efo/EFO_0000834 denotes intestinal

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 63-81 Chemical denotes hydroxychloroquine http://purl.obolibrary.org/obo/CHEBI_5801
T2 171-175 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888
T3 643-648 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T4 782-786 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 555-564 http://purl.obolibrary.org/obo/GO_0006810 denotes transport
T2 592-602 http://purl.obolibrary.org/obo/GO_0008152 denotes metabolism
T3 782-796 http://purl.obolibrary.org/obo/GO_0015893 denotes drug transport
T4 787-796 http://purl.obolibrary.org/obo/GO_0006810 denotes transport

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 63-81 Chemical denotes hydroxychloroquine MESH:D006886
3 158-166 Disease denotes toxicity MESH:D064420
17 212-230 Chemical denotes Hydroxychloroquine MESH:D006886
18 232-235 Chemical denotes HCQ MESH:D006886
19 274-281 Disease denotes malaria MESH:D008288
20 286-304 Disease denotes rheumatic diseases MESH:D012216
21 387-395 Disease denotes COVID-19 MESH:C000657245
22 417-420 Chemical denotes HCQ MESH:D006886
23 440-452 Disease denotes cytotoxicity MESH:D064420
24 656-661 Species denotes human Tax:9606
25 839-844 Species denotes human Tax:9606
26 1142-1145 Chemical denotes HCQ MESH:D006886
27 1758-1770 Disease denotes cytotoxicity MESH:D064420
28 1879-1882 Chemical denotes HCQ MESH:D006886
29 1954-1970 Disease denotes cytotoxic damage MESH:D064420

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-82 Sentence denotes A multiscale absorption and transit model for oral delivery of hydroxychloroquine:
T2 83-211 Sentence denotes Pharmacokinetic modeling and intestinal concentration prediction to assess toxicity and drug-induced damage in healthy subjects.
T3 212-305 Sentence denotes Hydroxychloroquine (HCQ) is commonly used in the treatment of malaria and rheumatic diseases.
T4 306-396 Sentence denotes Recently it has also been identified as possible therapeutic option in combating COVID-19.
T5 397-453 Sentence denotes However, the use of HCQ is known to induce cytotoxicity.
T6 454-685 Sentence denotes In 2020, we developed a multiscale absorption and transit (MAT) toolkit to simulate the dissolution, transport, absorption, distribution, metabolism, and elimination of orally administered drugs in the human GIT at multiple levels.
T7 686-909 Sentence denotes MAT was constructed by integrating the spatially accurate first-principles driven high-fidelity drug transport, dissolution, and absorption model in the human stomach and GIT using the recently published Quasi-3D framework.
T8 910-1058 Sentence denotes The computational results showed that MAT was able to match the experimental concentration results better than the traditional compartmental models.
T9 1059-1166 Sentence denotes In this study, we adapted MAT, to predict the pharmacokinetics of orally delivered HCQ in healthy subjects.
T10 1167-1240 Sentence denotes The computational results matched the experimental concentration results.
T11 1241-1358 Sentence denotes The simulated stomach and intestinal fluid and enterocyte concentrations were compared with the in vitro CC50 values.
T12 1359-1572 Sentence denotes While the peak enterocyte concentrations were several orders lower than the in vitro CC50 values, the peak stomach and the intestinal fluid concentrations were only one order smaller than the in vitro CC50 values.
T13 1573-1694 Sentence denotes In particular, the peak stomach and the duodenum fluid concentrations were just 3× smaller than the in vitro CC50 values.
T14 1695-1811 Sentence denotes This implies that the lumen walls are much more susceptible to cytotoxicity-based damage than the enterocyte layers.
T15 1812-1971 Sentence denotes We envision that MAT can be used to optimize the dosing regimen of HCQ by maximizing its bioavailability, while simultaneously minimizing the cytotoxic damage.