RGD Reference Report - Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer and coronary disease pathways. - Rat Genome Database

Send us a Message
Submit Data |  Help |  Video Tutorials |  News |  Publications |  Download |  REST API |  Citing RGD |  Contact   
Search RGD Grant Resources Citing RGD About Us Contact Us
Genes Variants Community Projects QTLs Strains Markers Genome Information Ontologies Cell Lines References Download Submit Data
OntoMate (Literature Search) JBrowse (Genome Browser) Synteny Browser (VCMap) Variant Visualizer Multi-Ontology Enrichment (MOET) Gene-Ortholog Location Finder (GOLF) InterViewer (Protein-Protein Interactions) PhenoMiner (Quatitative Phenotypes) Gene Annotator OLGA (Gene List Generator) AllianceMine GViewer (Genome Viewer)
Aging & Age-Related Disease Cancer & Neoplastic Disease Cardiovascular Disease Coronavirus Disease Developmental Disease Diabetes Hematologic Disease Immune & Inflammatory Disease Infectious Disease Liver Disease Neurological Disease Obesity & Metabolic Syndrome Renal Disease Respiratory Disease Sensory Organ Disease
Find Models   new Genetic Models Autism Models Rat PhenoMiner (Quantitative Phenotypes) Chinchilla PhenoMiner Expected Ranges (Quantitative Phenotype) PhenoMiner Term Comparison Hybrid Rat Diversity Panel Phenotypes Phenotypes in Other Animal Models Animal Husbandry Strain Medical Records Phylogenetics Strain Availability Calendar Rats 101 Submissions Photo Archive
Pathways
Rat Community Forum Directory of Rat Laboratories Video Tutorials News RGD Publications RGD Presentations Archive Nomenclature Guidelines Resource Links Laboratory Resources Employment Resources

Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer and coronary disease pathways.

Authors: Wang, Lihua  Western, Dan  Timsina, Jigyasha  Repaci, Charlie  Song, Won-Min  Norton, Joanne  Kohlfeld, Pat  Budde, John  Climer, Sharlee  Butt, Omar H  Jacobson, Daniel  Garvin, Michael  Templeton, Alan R  Campagna, Shawn  O'Halloran, Jane  Presti, Rachel  Goss, Charles W  Mudd, Philip A  Ances, Beau M  Zhang, Bin  Sung, Yun Ju  Cruchaga, Carlos 
Citation: Wang L, etal., medRxiv. 2022 Jul 25:2022.07.25.22278025. doi: 10.1101/2022.07.25.22278025. Preprint.
RGD ID: 401827120
Pubmed: PMID:35923315   (View Abstract at PubMed)
PMCID: PMC9347279   (View Article at PubMed Central)
DOI: DOI:10.1101/2022.07.25.22278025   (Journal Full-text)

Identification of the plasma proteomic changes of Coronavirus disease 2019 (COVID-19) is essential to understanding the pathophysiology of the disease and developing predictive models and novel therapeutics. We performed plasma deep proteomic profiling from 332 COVID-19 patients and 150 controls and pursued replication in an independent cohort (297 cases and 76 controls) to find potential biomarkers and causal proteins for three COVID-19 outcomes (infection, ventilation, and death). We identified and replicated 1,449 proteins associated with any of the three outcomes (841 for infection, 833 for ventilation, and 253 for death) that can be query on a web portal ( https://covid.proteomics.wustl.edu/ ). Using those proteins and machine learning approached we created and validated specific prediction models for ventilation (AUC>0.91), death (AUC>0.95) and either outcome (AUC>0.80). These proteins were also enriched in specific biological processes, including immune and cytokine signaling (FDR <= 3.72×10 -14 ), Alzheimer's disease (FDR <= 5.46×10 -10 ) and coronary artery disease (FDR <= 4.64×10 -2 ). Mendelian randomization using pQTL as instrumental variants nominated BCAT2 and GOLM1 as a causal proteins for COVID-19. Causal gene network analyses identified 141 highly connected key proteins, of which 35 have known drug targets with FDA-approved compounds. Our findings provide distinctive prognostic biomarkers for two severe COVID-19 outcomes (ventilation and death), reveal their relationship to Alzheimer's disease and coronary artery disease, and identify potential therapeutic targets for COVID-19 outcomes.

RGD Manual Disease Annotations    Click to see Annotation Detail View
TermQualifierEvidenceWithReferenceNotesSourceOriginal Reference(s)
COVID-19  HEP 401827120 RGD 
COVID-19  ISOGOLM1 (Homo sapiens)401827120; 401827120 RGD 

Objects Annotated

Genes (Rattus norvegicus)
Golm1  (golgi membrane protein 1)

Genes (Mus musculus)
Golm1  (golgi membrane protein 1)

Genes (Homo sapiens)
GOLM1  (golgi membrane protein 1)


Additional Information