PMC:7335494 / 100107-101715
Annnotations
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T2 | 449-454 | Body_part | denotes | joint | http://purl.org/sig/ont/fma/fma7490 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T282 | 1234-1246 | Disease | denotes | inflammation | http://purl.obolibrary.org/obo/MONDO_0021166 |
T283 | 1312-1320 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T7 | 14-15 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T8 | 120-121 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T9 | 449-454 | http://purl.obolibrary.org/obo/UBERON_0000982 | denotes | joint |
T10 | 449-454 | http://purl.obolibrary.org/obo/UBERON_0004905 | denotes | joint |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T2292 | 475-484 | Chemical | denotes | molecules | http://purl.obolibrary.org/obo/CHEBI_25367 |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T2 | 1234-1246 | http://purl.obolibrary.org/obo/GO_0006954 | denotes | inflammation |
T3 | 1431-1452 | http://purl.obolibrary.org/obo/GO_0006954 | denotes | inflammatory response |
T4 | 1533-1563 | http://purl.obolibrary.org/obo/GO_0050776 | denotes | regulating the immune response |
T5 | 1548-1563 | http://purl.obolibrary.org/obo/GO_0006955 | denotes | immune response |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T592 | 0-328 | Sentence | denotes | Diet can play a major part in regulating various cellular pathways, as one is simultaneously and continually exposed to a myriad of ingested substances, which, in their minute doses can yield important long-term effects and influence the development of certain maladies, with their cumulative effects still being underestimated. |
T593 | 329-565 | Sentence | denotes | Real-life risk simulation (RLRS) strategies are powerful tools for assessing not only the toxicological implications of joint effects for several molecules, but also their collective beneficial role as nutraceuticals in our diet intake. |
T594 | 566-1003 | Sentence | denotes | These kinds of analyses are important, as studies which separately assess the cellular and metabolic effects of certain compounds can posit their detrimental or protective actions and their potency, and thus can lead to erroneous conclusions regarding their long-term habitual consumption in lower, non-pharmacological doses, but alongside numerous other chemicals (Hernandez et al., 2020; Margină et al., 2019; Tsatsakis et al., 2019b). |
T595 | 1004-1347 | Sentence | denotes | This type of approach will certainly play an important part in one of the most important health struggles nowadays, the prevention of NCD, and could prove itself beneficial even in the context of the present viral outbreak, since inflammation is the key component of the severe phenomena associated with the COVID-19 respiratory complications. |
T596 | 1348-1608 | Sentence | denotes | There is an intense need for RLRS studies integrating dietary information with the inflammatory response in order to evaluate if the usual components of normal diet could contribute to regulating the immune response and reduce the sensitivity to complications. |
MyTest
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32640331-31926207-30721073 | 950-954 | 31926207 | denotes | 2020 |
32640331-32346674-30721074 | 972-976 | 32346674 | denotes | 2019 |
2_test
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32640331-31926207-30721073 | 950-954 | 31926207 | denotes | 2020 |
32640331-32346674-30721074 | 972-976 | 32346674 | denotes | 2019 |
LitCovid-PMC-OGER-BB
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T2145 | 30-40 | GO:0065007 | denotes | regulating |
T2146 | 132-140 | GO:0007631 | denotes | ingested |
T2147 | 334-338 | UBERON:0000104 | denotes | life |
T2148 | 449-454 | UBERON:0004905 | denotes | joint |
T2149 | 475-484 | CHEBI:36357;CHEBI:36357 | denotes | molecules |
T2150 | 531-545 | CHEBI:50733;CHEBI:50733 | denotes | nutraceuticals |
T2151 | 558-564 | GO:0007631 | denotes | intake |
T2152 | 644-652 | GO:0044237 | denotes | cellular |
T2153 | 657-666 | GO:0008152 | denotes | metabolic |
T2154 | 686-695 | CHEBI:36357;CHEBI:36357 | denotes | compounds |
T2155 | 834-842 | GO:0046959 | denotes | habitual |
T2156 | 843-854 | GO:0007631 | denotes | consumption |
T2157 | 869-884 | CHEBI:52217;CHEBI:52217 | denotes | pharmacological |
T2158 | 1212-1217 | NCBITaxon:10239 | denotes | viral |
T2159 | 1312-1320 | SP_7 | denotes | COVID-19 |
T2160 | 1321-1332 | UBERON:0001004 | denotes | respiratory |
T2161 | 1548-1554 | UBERON:0002405;GO:0006955 | denotes | immune |
T2162 | 1555-1563 | GO:0006955 | denotes | response |
T90996 | 334-338 | UBERON:0000104 | denotes | life |
T82471 | 30-40 | GO:0065007 | denotes | regulating |
T24720 | 132-140 | GO:0007631 | denotes | ingested |
T33658 | 334-338 | UBERON:0000104 | denotes | life |
T64396 | 449-454 | UBERON:0004905 | denotes | joint |
T19892 | 475-484 | CHEBI:36357;CHEBI:36357 | denotes | molecules |
T15009 | 531-545 | CHEBI:50733;CHEBI:50733 | denotes | nutraceuticals |
T26033 | 558-564 | GO:0007631 | denotes | intake |
T58405 | 644-652 | GO:0044237 | denotes | cellular |
T73290 | 657-666 | GO:0008152 | denotes | metabolic |
T75044 | 686-695 | CHEBI:36357;CHEBI:36357 | denotes | compounds |
T61810 | 834-842 | GO:0046959 | denotes | habitual |
T78336 | 843-854 | GO:0007631 | denotes | consumption |
T74982 | 869-884 | CHEBI:52217;CHEBI:52217 | denotes | pharmacological |
T5787 | 1212-1217 | NCBITaxon:10239 | denotes | viral |
T48907 | 1312-1320 | SP_7 | denotes | COVID-19 |
T86218 | 1321-1332 | UBERON:0001004 | denotes | respiratory |
T22883 | 1548-1554 | UBERON:0002405;GO:0006955 | denotes | immune |
T47508 | 1555-1563 | GO:0006955 | denotes | response |