Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severity
Abstract Proteins are direct products of the genome and metabolites are functional products of interactions between the host and other factors such as environment, disease state, clinical information, etc. Omics data, including proteins and metabolites, are useful in characterizing biological proces...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-16396-9 |
| _version_ | 1811293600732938240 |
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| author | Ali Rahnavard Brendan Mann Abhigya Giri Ranojoy Chatterjee Keith A. Crandall |
| author_facet | Ali Rahnavard Brendan Mann Abhigya Giri Ranojoy Chatterjee Keith A. Crandall |
| author_sort | Ali Rahnavard |
| collection | DOAJ |
| description | Abstract Proteins are direct products of the genome and metabolites are functional products of interactions between the host and other factors such as environment, disease state, clinical information, etc. Omics data, including proteins and metabolites, are useful in characterizing biological processes underlying COVID-19 along with patient data and clinical information, yet few methods are available to effectively analyze such diverse and unstructured data. Using an integrated approach that combines proteomics and metabolomics data, we investigated the changes in metabolites and proteins in relation to patient characteristics (e.g., age, gender, and health outcome) and clinical information (e.g., metabolic panel and complete blood count test results). We found significant enrichment of biological indicators of lung, liver, and gastrointestinal dysfunction associated with disease severity using publicly available metabolite and protein profiles. Our analyses specifically identified enriched proteins that play a critical role in responses to injury or infection within these anatomical sites, but may contribute to excessive systemic inflammation within the context of COVID-19. Furthermore, we have used this information in conjunction with machine learning algorithms to predict the health status of patients presenting symptoms of COVID-19. This work provides a roadmap for understanding the biochemical pathways and molecular mechanisms that drive disease severity, progression, and treatment of COVID-19. |
| first_indexed | 2024-04-13T05:03:52Z |
| format | Article |
| id | doaj.art-be4fa50e8b174b49b7e061454436b45f |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-13T05:03:52Z |
| publishDate | 2022-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-be4fa50e8b174b49b7e061454436b45f2022-12-22T03:01:14ZengNature PortfolioScientific Reports2045-23222022-07-0112111610.1038/s41598-022-16396-9Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severityAli Rahnavard0Brendan Mann1Abhigya Giri2Ranojoy Chatterjee3Keith A. Crandall4Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington UniversityComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington UniversityComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington UniversityComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington UniversityComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington UniversityAbstract Proteins are direct products of the genome and metabolites are functional products of interactions between the host and other factors such as environment, disease state, clinical information, etc. Omics data, including proteins and metabolites, are useful in characterizing biological processes underlying COVID-19 along with patient data and clinical information, yet few methods are available to effectively analyze such diverse and unstructured data. Using an integrated approach that combines proteomics and metabolomics data, we investigated the changes in metabolites and proteins in relation to patient characteristics (e.g., age, gender, and health outcome) and clinical information (e.g., metabolic panel and complete blood count test results). We found significant enrichment of biological indicators of lung, liver, and gastrointestinal dysfunction associated with disease severity using publicly available metabolite and protein profiles. Our analyses specifically identified enriched proteins that play a critical role in responses to injury or infection within these anatomical sites, but may contribute to excessive systemic inflammation within the context of COVID-19. Furthermore, we have used this information in conjunction with machine learning algorithms to predict the health status of patients presenting symptoms of COVID-19. This work provides a roadmap for understanding the biochemical pathways and molecular mechanisms that drive disease severity, progression, and treatment of COVID-19.https://doi.org/10.1038/s41598-022-16396-9 |
| spellingShingle | Ali Rahnavard Brendan Mann Abhigya Giri Ranojoy Chatterjee Keith A. Crandall Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severity Scientific Reports |
| title | Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severity |
| title_full | Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severity |
| title_fullStr | Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severity |
| title_full_unstemmed | Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severity |
| title_short | Metabolite, protein, and tissue dysfunction associated with COVID-19 disease severity |
| title_sort | metabolite protein and tissue dysfunction associated with covid 19 disease severity |
| url | https://doi.org/10.1038/s41598-022-16396-9 |
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