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Lung proteome and metabolome endotype in HIV-associated obstructive lung disease Samorodnitsky, Sarah; Lock, Eric; Kruk, Monica; Morris, Alison; Leung, Janice; Kunisaki, Ken; Griffin, Timothy; Wendt, Chris
Description
<b>Abstract</b><br/>
<span lang="EN-GB"><strong>Purpose</strong>: Obstructive lung disease is increasingly common among persons with HIV in both smokers and non-smokers. We used aptamer proteomics to identify proteins and associated pathways in HIV-associated obstructive lung disease.</span></p>
<span lang="EN-GB"><strong>Methods</strong>: Bronchoalveolar lavage fluid (BALF) samples from 26 persons living with HIV with obstructive lung disease were matched to persons living with HIV without obstructive lung disease based on age, smoking status, and antiretroviral treatment. 6,414 proteins were measured using SomaScan aptamer-based assay. We used sparse distance-weighted discrimination (sDWD) to test for a difference in protein expression and permutation tests to identify univariate associations between proteins and forced expiratory volume in 1s precent predicted (FEV1pp). Significant proteins were entered into a pathway overrepresentation analysis (ORA). We also constructed protein-driven endotypes using K-means clustering and performed ORA on the proteins that were significantly different between clusters. We compared protein-associated clusters to those obtained from BALF and plasma metabolomics data on the same patient cohort.</span></p>
<span lang="EN-GB"><strong>Results</strong>: After filtering, we retained 3872 proteins for further analysis. Based on sDWD, protein expression was able to separate cases and controls. We found </span><span lang="EN-GB">575 </span><span lang="EN-GB">proteins that were significantly correlated with FEV1pp </span><span lang="EN-GB">after multiple comparisons adjustment</span><span lang="EN-GB">. We identified </span><span lang="EN-GB">two protein-driven endotypes, one of which was</span><span lang="EN-GB"> associated with poor lung function, and found that insulin and apoptosis pathways were differentially represented. We found similar clusters driven by metabolomics in BALF but not plasma.</span></p>
<span lang="EN-GB"><strong>Conclusion</strong>: Protein expression differs in persons living with HIV with and without obstructive lung disease. We were not able to identify specific pathways differentially expressed among patients based on FEV1pp; however, we identified a unique protein endotype associated with insulin and apoptotic pathways. </span></p>
Item Metadata
Title |
Lung proteome and metabolome endotype in HIV-associated obstructive lung disease
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Creator | |
Date Issued |
2023-01-17
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Description |
<b>Abstract</b><br/>
<span lang="EN-GB"><strong>Purpose</strong>: Obstructive lung disease is increasingly common among persons with HIV in both smokers and non-smokers. We used aptamer proteomics to identify proteins and associated pathways in HIV-associated obstructive lung disease.</span></p> <span lang="EN-GB"><strong>Methods</strong>: Bronchoalveolar lavage fluid (BALF) samples from 26 persons living with HIV with obstructive lung disease were matched to persons living with HIV without obstructive lung disease based on age, smoking status, and antiretroviral treatment. 6,414 proteins were measured using SomaScan aptamer-based assay. We used sparse distance-weighted discrimination (sDWD) to test for a difference in protein expression and permutation tests to identify univariate associations between proteins and forced expiratory volume in 1s precent predicted (FEV1pp). Significant proteins were entered into a pathway overrepresentation analysis (ORA). We also constructed protein-driven endotypes using K-means clustering and performed ORA on the proteins that were significantly different between clusters. We compared protein-associated clusters to those obtained from BALF and plasma metabolomics data on the same patient cohort.</span></p> <span lang="EN-GB"><strong>Results</strong>: After filtering, we retained 3872 proteins for further analysis. Based on sDWD, protein expression was able to separate cases and controls. We found </span><span lang="EN-GB">575 </span><span lang="EN-GB">proteins that were significantly correlated with FEV1pp </span><span lang="EN-GB">after multiple comparisons adjustment</span><span lang="EN-GB">. We identified </span><span lang="EN-GB">two protein-driven endotypes, one of which was</span><span lang="EN-GB"> associated with poor lung function, and found that insulin and apoptosis pathways were differentially represented. We found similar clusters driven by metabolomics in BALF but not plasma.</span></p> <span lang="EN-GB"><strong>Conclusion</strong>: Protein expression differs in persons living with HIV with and without obstructive lung disease. We were not able to identify specific pathways differentially expressed among patients based on FEV1pp; however, we identified a unique protein endotype associated with insulin and apoptotic pathways. </span></p> |
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Notes |
Dryad version number: 4</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: https://datadryad.org/stash/share/0pSdlEJFoD4NX3DqGvN5yNVVbGfJBrbk6qZzhbW6mag</p> Storage size: 3353776</p> Visibility: public</p> |
Date Available |
2022-12-15
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Provider |
University of British Columbia Library
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License |
CC0 Waiver
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DOI |
10.14288/1.0423057
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URI | |
Publisher DOI | |
Grant Funding Agency |
National Institutes of Health
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Rights URI | |
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Dataverse
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