PMC:7311890 / 24496-25227 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T175","span":{"begin":9,"end":15},"obj":"Body_part"},{"id":"T176","span":{"begin":16,"end":22},"obj":"Body_part"},{"id":"T177","span":{"begin":140,"end":145},"obj":"Body_part"},{"id":"T178","span":{"begin":594,"end":600},"obj":"Body_part"}],"attributes":[{"id":"A175","pred":"fma_id","subj":"T175","obj":"http://purl.org/sig/ont/fma/fma62970"},{"id":"A176","pred":"fma_id","subj":"T176","obj":"http://purl.org/sig/ont/fma/fma67264"},{"id":"A177","pred":"fma_id","subj":"T177","obj":"http://purl.org/sig/ont/fma/fma67264"},{"id":"A178","pred":"fma_id","subj":"T178","obj":"http://purl.org/sig/ont/fma/fma67264"}],"text":"Figure 2 Plasma Lipids Associated with Severity of COVID-19\nLogistic regression model with covariates BMI, age, and sex was built with each lipid to search for significant variables that could predict disease severity of subjects (i.e., healthy control, and mild, moderate, and severe COVID-19). Only lipids with false discovery rate (FDR) \u003c0.05 were shortlisted and presented. Forest plots illustrate the magnitude of odds ratios with indicator of significance of the estimate in the model; ∗∗∗p \u003c 0.001, ∗∗p \u003c 0.01, ∗p \u003c 0.05. For non-significant lipids, the estimates were plotted as zeros. Lipids were broadly classified according to major classes of neutral lipids, glycerophospholipids, and sphingolipids. See also Figure S4."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T119","span":{"begin":51,"end":59},"obj":"Disease"},{"id":"T120","span":{"begin":285,"end":293},"obj":"Disease"}],"attributes":[{"id":"A119","pred":"mondo_id","subj":"T119","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A120","pred":"mondo_id","subj":"T120","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Figure 2 Plasma Lipids Associated with Severity of COVID-19\nLogistic regression model with covariates BMI, age, and sex was built with each lipid to search for significant variables that could predict disease severity of subjects (i.e., healthy control, and mild, moderate, and severe COVID-19). Only lipids with false discovery rate (FDR) \u003c0.05 were shortlisted and presented. Forest plots illustrate the magnitude of odds ratios with indicator of significance of the estimate in the model; ∗∗∗p \u003c 0.001, ∗∗p \u003c 0.01, ∗p \u003c 0.05. For non-significant lipids, the estimates were plotted as zeros. Lipids were broadly classified according to major classes of neutral lipids, glycerophospholipids, and sphingolipids. See also Figure S4."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T227","span":{"begin":9,"end":15},"obj":"http://purl.obolibrary.org/obo/UBERON_0001969"}],"text":"Figure 2 Plasma Lipids Associated with Severity of COVID-19\nLogistic regression model with covariates BMI, age, and sex was built with each lipid to search for significant variables that could predict disease severity of subjects (i.e., healthy control, and mild, moderate, and severe COVID-19). Only lipids with false discovery rate (FDR) \u003c0.05 were shortlisted and presented. Forest plots illustrate the magnitude of odds ratios with indicator of significance of the estimate in the model; ∗∗∗p \u003c 0.001, ∗∗p \u003c 0.01, ∗p \u003c 0.05. For non-significant lipids, the estimates were plotted as zeros. Lipids were broadly classified according to major classes of neutral lipids, glycerophospholipids, and sphingolipids. See also Figure S4."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T317","span":{"begin":140,"end":145},"obj":"Chemical"},{"id":"T318","span":{"begin":301,"end":307},"obj":"Chemical"},{"id":"T319","span":{"begin":436,"end":445},"obj":"Chemical"},{"id":"T320","span":{"begin":549,"end":555},"obj":"Chemical"},{"id":"T321","span":{"begin":663,"end":669},"obj":"Chemical"},{"id":"T322","span":{"begin":671,"end":691},"obj":"Chemical"},{"id":"T323","span":{"begin":697,"end":710},"obj":"Chemical"},{"id":"T324","span":{"begin":728,"end":730},"obj":"Chemical"}],"attributes":[{"id":"A317","pred":"chebi_id","subj":"T317","obj":"http://purl.obolibrary.org/obo/CHEBI_18059"},{"id":"A318","pred":"chebi_id","subj":"T318","obj":"http://purl.obolibrary.org/obo/CHEBI_18059"},{"id":"A319","pred":"chebi_id","subj":"T319","obj":"http://purl.obolibrary.org/obo/CHEBI_47867"},{"id":"A320","pred":"chebi_id","subj":"T320","obj":"http://purl.obolibrary.org/obo/CHEBI_18059"},{"id":"A321","pred":"chebi_id","subj":"T321","obj":"http://purl.obolibrary.org/obo/CHEBI_18059"},{"id":"A322","pred":"chebi_id","subj":"T322","obj":"http://purl.obolibrary.org/obo/CHEBI_37739"},{"id":"A323","pred":"chebi_id","subj":"T323","obj":"http://purl.obolibrary.org/obo/CHEBI_26739"},{"id":"A324","pred":"chebi_id","subj":"T324","obj":"http://purl.obolibrary.org/obo/CHEBI_29401"}],"text":"Figure 2 Plasma Lipids Associated with Severity of COVID-19\nLogistic regression model with covariates BMI, age, and sex was built with each lipid to search for significant variables that could predict disease severity of subjects (i.e., healthy control, and mild, moderate, and severe COVID-19). Only lipids with false discovery rate (FDR) \u003c0.05 were shortlisted and presented. Forest plots illustrate the magnitude of odds ratios with indicator of significance of the estimate in the model; ∗∗∗p \u003c 0.001, ∗∗p \u003c 0.01, ∗p \u003c 0.05. For non-significant lipids, the estimates were plotted as zeros. Lipids were broadly classified according to major classes of neutral lipids, glycerophospholipids, and sphingolipids. See also Figure S4."}

{"project":"LitCovid-PubTator","denotations":[{"id":"566","span":{"begin":16,"end":22},"obj":"Chemical"},{"id":"567","span":{"begin":51,"end":59},"obj":"Disease"},{"id":"576","span":{"begin":140,"end":145},"obj":"Chemical"},{"id":"577","span":{"begin":301,"end":307},"obj":"Chemical"},{"id":"578","span":{"begin":549,"end":555},"obj":"Chemical"},{"id":"579","span":{"begin":594,"end":600},"obj":"Chemical"},{"id":"580","span":{"begin":663,"end":669},"obj":"Chemical"},{"id":"581","span":{"begin":671,"end":691},"obj":"Chemical"},{"id":"582","span":{"begin":697,"end":710},"obj":"Chemical"},{"id":"583","span":{"begin":285,"end":293},"obj":"Disease"}],"attributes":[{"id":"A566","pred":"tao:has_database_id","subj":"566","obj":"MESH:D008055"},{"id":"A567","pred":"tao:has_database_id","subj":"567","obj":"MESH:C000657245"},{"id":"A576","pred":"tao:has_database_id","subj":"576","obj":"MESH:D008055"},{"id":"A577","pred":"tao:has_database_id","subj":"577","obj":"MESH:D008055"},{"id":"A578","pred":"tao:has_database_id","subj":"578","obj":"MESH:D008055"},{"id":"A579","pred":"tao:has_database_id","subj":"579","obj":"MESH:D008055"},{"id":"A580","pred":"tao:has_database_id","subj":"580","obj":"MESH:D008055"},{"id":"A581","pred":"tao:has_database_id","subj":"581","obj":"MESH:D020404"},{"id":"A582","pred":"tao:has_database_id","subj":"582","obj":"MESH:D013107"},{"id":"A583","pred":"tao:has_database_id","subj":"583","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Figure 2 Plasma Lipids Associated with Severity of COVID-19\nLogistic regression model with covariates BMI, age, and sex was built with each lipid to search for significant variables that could predict disease severity of subjects (i.e., healthy control, and mild, moderate, and severe COVID-19). Only lipids with false discovery rate (FDR) \u003c0.05 were shortlisted and presented. Forest plots illustrate the magnitude of odds ratios with indicator of significance of the estimate in the model; ∗∗∗p \u003c 0.001, ∗∗p \u003c 0.01, ∗p \u003c 0.05. For non-significant lipids, the estimates were plotted as zeros. Lipids were broadly classified according to major classes of neutral lipids, glycerophospholipids, and sphingolipids. See also Figure S4."}

{"project":"LitCovid-sentences","denotations":[{"id":"T161","span":{"begin":0,"end":59},"obj":"Sentence"},{"id":"T162","span":{"begin":60,"end":295},"obj":"Sentence"},{"id":"T163","span":{"begin":296,"end":377},"obj":"Sentence"},{"id":"T164","span":{"begin":378,"end":528},"obj":"Sentence"},{"id":"T165","span":{"begin":529,"end":593},"obj":"Sentence"},{"id":"T166","span":{"begin":594,"end":711},"obj":"Sentence"},{"id":"T167","span":{"begin":712,"end":731},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Figure 2 Plasma Lipids Associated with Severity of COVID-19\nLogistic regression model with covariates BMI, age, and sex was built with each lipid to search for significant variables that could predict disease severity of subjects (i.e., healthy control, and mild, moderate, and severe COVID-19). Only lipids with false discovery rate (FDR) \u003c0.05 were shortlisted and presented. Forest plots illustrate the magnitude of odds ratios with indicator of significance of the estimate in the model; ∗∗∗p \u003c 0.001, ∗∗p \u003c 0.01, ∗p \u003c 0.05. For non-significant lipids, the estimates were plotted as zeros. Lipids were broadly classified according to major classes of neutral lipids, glycerophospholipids, and sphingolipids. See also Figure S4."}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T509","span":{"begin":16,"end":22},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T510","span":{"begin":51,"end":68},"obj":"SP_7"},{"id":"T511","span":{"begin":140,"end":145},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T512","span":{"begin":285,"end":293},"obj":"SP_7"},{"id":"T513","span":{"begin":301,"end":307},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T514","span":{"begin":549,"end":555},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T515","span":{"begin":594,"end":600},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T516","span":{"begin":663,"end":669},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T517","span":{"begin":671,"end":691},"obj":"CHEBI:37739;CHEBI:37739"},{"id":"T518","span":{"begin":697,"end":710},"obj":"CHEBI:26739;CHEBI:26739"},{"id":"T55143","span":{"begin":26,"end":35},"obj":"CHEBI:25212;CHEBI:25212"},{"id":"T36658","span":{"begin":140,"end":150},"obj":"CHEBI:25212;CHEBI:25212"},{"id":"T91890","span":{"begin":233,"end":238},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T98946","span":{"begin":308,"end":313},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T39180","span":{"begin":333,"end":339},"obj":"UBERON:0001969"},{"id":"T374","span":{"begin":373,"end":379},"obj":"UBERON:0001969"},{"id":"T375","span":{"begin":406,"end":414},"obj":"SP_7"},{"id":"T376","span":{"begin":478,"end":484},"obj":"UBERON:0001969"},{"id":"T377","span":{"begin":485,"end":493},"obj":"CHEBI:25212;CHEBI:25212"},{"id":"T378","span":{"begin":517,"end":525},"obj":"SP_7"},{"id":"T379","span":{"begin":628,"end":633},"obj":"CHEBI:18059;CHEBI:18059"},{"id":"T380","span":{"begin":648,"end":657},"obj":"CHEBI:25212;CHEBI:25212"},{"id":"T381","span":{"begin":718,"end":726},"obj":"SP_7"}],"text":"Figure 2 Plasma Lipids Associated with Severity of COVID-19\nLogistic regression model with covariates BMI, age, and sex was built with each lipid to search for significant variables that could predict disease severity of subjects (i.e., healthy control, and mild, moderate, and severe COVID-19). Only lipids with false discovery rate (FDR) \u003c0.05 were shortlisted and presented. Forest plots illustrate the magnitude of odds ratios with indicator of significance of the estimate in the model; ∗∗∗p \u003c 0.001, ∗∗p \u003c 0.01, ∗p \u003c 0.05. For non-significant lipids, the estimates were plotted as zeros. Lipids were broadly classified according to major classes of neutral lipids, glycerophospholipids, and sphingolipids. See also Figure S4."}