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pmid:38048423

Proteomic Evolution from Acute to Post-COVID-19 Conditions.

Yassene Mohammed · Karen Tran · Chris Carlsten · Christopher Ryerson · Alyson Wong · Terry Lee · Matthew P Cheng · Donald C Vinh · Todd C Lee · Brent W Winston · David Sweet · John H Boyd · Keith R Walley · Greg Haljan · Allison McGeer · Francois Lamontagne · Robert Fowler · David Maslove · Joel Singer · David M Patrick · John C Marshall · Srinivas Murthy · Fagun Jain · Christoph H Borchers · David R Goodlett · Adeera Levin · James A Russell

Journal of proteome research · 2024 doi:10.1021/acs.jproteome.3c00324

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:38048423
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science-record
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title
Proteomic Evolution from Acute to Post-COVID-19 Conditions.
doi
10.1021/acs.jproteome.3c00324
pmid
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[0]
Yassene Mohammed
[1]
Karen Tran
[2]
Chris Carlsten
[3]
Christopher Ryerson
[4]
Alyson Wong
[5]
Terry Lee
[6]
Matthew P Cheng
[7]
Donald C Vinh
[8]
Todd C Lee
[9]
Brent W Winston
[10]
David Sweet
[11]
John H Boyd
[12]
Keith R Walley
[13]
Greg Haljan
[14]
Allison McGeer
[15]
Francois Lamontagne
[16]
Robert Fowler
[17]
David Maslove
[18]
Joel Singer
[19]
David M Patrick
[20]
John C Marshall
[21]
Srinivas Murthy
[22]
Fagun Jain
[23]
Christoph H Borchers
[24]
David R Goodlett
[25]
Adeera Levin
[26]
James A Russell
journal
Journal of proteome research
year
2024
abstract
Many COVID-19 survivors have post-COVID-19 conditions, and females are at a higher risk. We sought to determine (1) how protein levels change from acute to post-COVID-19 conditions, (2) whether females have a plasma protein signature different from that of males, and (3) which biological pathways are associated with COVID-19 when compared to restrictive lung disease. We measured protein levels in 74 patients on the day of admission and at 3 and 6 months after diagnosis. We determined protein concentrations by multiple reaction monitoring (MRM) using a panel of 269 heavy-labeled peptides. The predicted forced vital capacity (FVC) and diffusing capacity of the lungs for carbon monoxide (DLCO) were measured by routine pulmonary function testing. Proteins associated with six key lipid-related pathways increased from admission to 3 and 6 months; conversely, proteins related to innate immune responses and vasoconstriction-related proteins decreased. Multiple biological functions were regulated differentially between females and males. Concentrations of eight proteins were associated with FVC, %, and they together had c-statistics of 0.751 (CI:0.732-0.779); similarly, concentrations of five proteins had c-statistics of 0.707 (CI:0.676-0.737) for DLCO, %. Lipid biology may drive evolution from acute to post-COVID-19 conditions, while activation of innate immunity and vascular regulation pathways decreased over that period. (ProteomeXchange identifiers: PXD041762, PXD029437).
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Prediction was performed using regression analysis on proteins with a p-value less than 0.05 and a log fold change of 0.3. Validation was performed using cross-validation to estimate c-statistics and associated confidence intervals and was performed using 30/70% training and testing sets that were drawn randomly from the samples and repeated 100 times.
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Prediction was performed using regression analysis on proteins with a p-value less than 0.05 and a log fold change of 0.3. Validation was performed using cross-validation to estimate c-statistics and associated confidence intervals and was performed using 30/70% training and testing sets that were drawn randomly from the samples and repeated 100 times.
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Data Availability StatementThe mass spectrometry proteomics raw data as well as the associated skyline documents have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier: PXD041762. Additional data from our previous work28 and used for comparison in the current work are available from PRIDE with the identifier: PXD029437.
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Data Availability StatementThe mass spectrometry proteomics raw data as well as the associated skyline documents have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier: PXD041762. Additional data from our previous work28 and used for comparison in the current work are available from PRIDE with the identifier: PXD029437.
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Protein concentrations were associated with pulmonary function outcomes, with cross-validated c-statistics of 0.751 for FVC, % and 0.707 for DLCO, %.
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Concentrations of eight proteins were associated with FVC, %, and they together had c-statistics of 0.751 (CI:0.732–0.779); similarly, concentrations of five proteins had c-statistics of 0.707 (CI:0.676–0.737) for DLCO, %.
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Protein concentrations were associated with pulmonary function outcomes, with cross-validated c-statistics of 0.751 for FVC, % and 0.707 for DLCO, %.
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Data Availability StatementThe mass spectrometry proteomics raw data as well as the associated skyline documents have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier: PXD041762. Additional data from our previous work28 and used for comparison in the current work are available from PRIDE with the identifier: PXD029437.
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Longitudinal Plasma Proteomics Analysis of Acute COVID-19
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Data Availability StatementThe mass spectrometry proteomics raw data as well as the associated skyline documents have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier: PXD041762. Additional data from our previous work28 and used for comparison in the current work are available from PRIDE with the identifier: PXD029437.
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PROTEOMICS EVOLUTION FROM ACUTE TO POST-COVID-19 CONDITION
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Prediction was performed using regression analysis on proteins with a p-value less than 0.05 and a log fold change of 0.3. Validation was performed using cross-validation to estimate c-statistics and associated confidence intervals and was performed using 30/70% training and testing sets that were drawn randomly from the samples and repeated 100 times.
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Data Availability StatementThe mass spectrometry proteomics raw data as well as the associated skyline documents have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier: PXD041762. Additional data from our previous work28 and used for comparison in the current work are available from PRIDE with the identifier: PXD029437.
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Complete file
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