Proteomic Biomarkers of Quantitative Interstitial Abnormalities in COPDGene and CARDIA Lung Study
Rationale: Quantitative interstitial abnormalities (QIAs) are early measures of lung injury automatically detected on chest computed tomography scans. QIAs are associated with impaired respiratory health and share features with advanced lung diseases, but their biological underpinnings are not well understood. Objectives: To identify novel protein biomarkers of QIAs using high-throughput plasma proteomic panels within two multicenter cohorts. Methods: We measured the plasma proteomics of 4,383 participants in an older, ever-smoker cohort (COPDGene [Genetic Epidemiology of Chronic Obstructive Pulmonary Disease]) and 2,925 participants in a younger population cohort (CARDIA [Coronary Artery Disease Risk in Young Adults]) using the SomaLogic SomaScan assays. We measured QIAs using a local density histogram method. We assessed the associations between proteomic biomarker concentrations and QIAs using multivariable linear regression models adjusted for age, sex, body mass index, smoking status, and study center (Benjamini-Hochberg false discovery rate-corrected P ⩽ 0.05). Measurements and Main Results: In total, 852 proteins were significantly associated with QIAs in COPDGene and 185 in CARDIA. Of the 144 proteins that overlapped between COPDGene and CARDIA, all but one shared directionalities and magnitudes. These proteins were enriched for 49 Gene Ontology pathways, including biological processes in inflammatory response, cell adhesion, immune response, ERK1/2 regulation, and signaling; cellular components in extracellular regions; and molecular functions including calcium ion and heparin binding. Conclusions: We identified the proteomic biomarkers of QIAs in an older, smoking population with a higher prevalence of pulmonary disease and in a younger, healthier community cohort. These proteomics features may be markers of early precursors of advanced lung diseases.
| Errataetall: |
CommentIn: Am J Respir Crit Care Med. 2024 May 1;209(9):1052-1054. - PMID 38442249 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:209 |
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| Enthalten in: |
American journal of respiratory and critical care medicine - 209(2024), 9 vom: 01. Mai, Seite 1091-1100 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Choi, Bina [VerfasserIn] |
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| Links: |
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| Themen: |
Biomarkers |
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| Anmerkungen: |
Date Completed 01.05.2024 Date Revised 01.05.2024 published: Print CommentIn: Am J Respir Crit Care Med. 2024 May 1;209(9):1052-1054. - PMID 38442249 Citation Status MEDLINE |
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| doi: |
10.1164/rccm.202307-1129OC |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367762625 |
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| 100 | 1 | |a Choi, Bina |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Proteomic Biomarkers of Quantitative Interstitial Abnormalities in COPDGene and CARDIA Lung Study |
| 264 | 1 | |c 2024 | |
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| 500 | |a Date Revised 01.05.2024 | ||
| 500 | |a published: Print | ||
| 500 | |a CommentIn: Am J Respir Crit Care Med. 2024 May 1;209(9):1052-1054. - PMID 38442249 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Rationale: Quantitative interstitial abnormalities (QIAs) are early measures of lung injury automatically detected on chest computed tomography scans. QIAs are associated with impaired respiratory health and share features with advanced lung diseases, but their biological underpinnings are not well understood. Objectives: To identify novel protein biomarkers of QIAs using high-throughput plasma proteomic panels within two multicenter cohorts. Methods: We measured the plasma proteomics of 4,383 participants in an older, ever-smoker cohort (COPDGene [Genetic Epidemiology of Chronic Obstructive Pulmonary Disease]) and 2,925 participants in a younger population cohort (CARDIA [Coronary Artery Disease Risk in Young Adults]) using the SomaLogic SomaScan assays. We measured QIAs using a local density histogram method. We assessed the associations between proteomic biomarker concentrations and QIAs using multivariable linear regression models adjusted for age, sex, body mass index, smoking status, and study center (Benjamini-Hochberg false discovery rate-corrected P ⩽ 0.05). Measurements and Main Results: In total, 852 proteins were significantly associated with QIAs in COPDGene and 185 in CARDIA. Of the 144 proteins that overlapped between COPDGene and CARDIA, all but one shared directionalities and magnitudes. These proteins were enriched for 49 Gene Ontology pathways, including biological processes in inflammatory response, cell adhesion, immune response, ERK1/2 regulation, and signaling; cellular components in extracellular regions; and molecular functions including calcium ion and heparin binding. Conclusions: We identified the proteomic biomarkers of QIAs in an older, smoking population with a higher prevalence of pulmonary disease and in a younger, healthier community cohort. These proteomics features may be markers of early precursors of advanced lung diseases | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Multicenter Study | |
| 650 | 4 | |a biomarkers | |
| 650 | 4 | |a interstitial lung disease | |
| 650 | 4 | |a proteomics | |
| 650 | 4 | |a pulmonary emphysema | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 700 | 1 | |a Liu, Gabrielle Y |e verfasserin |4 aut | |
| 700 | 1 | |a Sheng, Quanhu |e verfasserin |4 aut | |
| 700 | 1 | |a Amancherla, Kaushik |e verfasserin |4 aut | |
| 700 | 1 | |a Perry, Andrew |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Xiaoning |e verfasserin |4 aut | |
| 700 | 1 | |a San José Estépar, Ruben |e verfasserin |4 aut | |
| 700 | 1 | |a Ash, Samuel Y |e verfasserin |4 aut | |
| 700 | 1 | |a Guan, Weihua |e verfasserin |4 aut | |
| 700 | 1 | |a Jacobs, David R |c Jr |e verfasserin |4 aut | |
| 700 | 1 | |a Martinez, Fernando J |e verfasserin |4 aut | |
| 700 | 1 | |a Rosas, Ivan O |e verfasserin |4 aut | |
| 700 | 1 | |a Bowler, Russell P |e verfasserin |4 aut | |
| 700 | 1 | |a Kropski, Jonathan A |e verfasserin |4 aut | |
| 700 | 1 | |a Banovich, Nicholas E |e verfasserin |4 aut | |
| 700 | 1 | |a Khan, Sadiya S |e verfasserin |4 aut | |
| 700 | 1 | |a San José Estépar, Raúl |e verfasserin |4 aut | |
| 700 | 1 | |a Shah, Ravi |e verfasserin |4 aut | |
| 700 | 1 | |a Thyagarajan, Bharat |e verfasserin |4 aut | |
| 700 | 1 | |a Kalhan, Ravi |e verfasserin |4 aut | |
| 700 | 1 | |a Washko, George R |e verfasserin |4 aut | |
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