The Plasma Proteome in Community-acquired Pneumonia: Pathophysiology, Outcome and 10-Year Risk
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View abstract on PubMed
Summary
This summary is machine-generated.This study mapped the plasma proteome in community-acquired pneumonia (CAP) patients, identifying proteins linked to disease severity and patient outcomes. These findings offer insights into CAP pathophysiology and potential personalized treatment strategies.
Area Of Science
- Biochemistry
- Immunology
- Genomics
Background
- Community-acquired pneumonia (CAP) poses a significant global health challenge.
- Understanding the molecular underpinnings of CAP is crucial for improving patient care.
Purpose Of The Study
- To comprehensively map the plasma proteome in patients with CAP.
- To correlate protein abundance with CAP pathophysiology, tissue of origin, and clinical outcomes.
- To identify potential biomarkers for disease severity and prognosis.
Main Methods
- Plasma proteomic profiling of CAP patients using Olink technology across derivation and validation cohorts.
- Inclusion of patients from general wards, intensive care units (ICUs), and SARS-CoV-2 pneumonia cases.
- Analysis of protein abundance in relation to clinical outcomes like time to clinical stability (TCS) and survival.
Main Results
- Analysis of 2676 proteins revealed significant differential abundance in CAP patients compared to controls.
- Elevated protein levels were associated with innate immune responses and mitosis pathways, originating from lung and cardiac tissues.
- 131 proteins were linked to TCS, with 124 correlating with prolonged recovery; these proteins were also differentially abundant in non-survivors.
- Longitudinal analysis in the UK Biobank showed associations between specific proteins and future pneumonia risk.
Conclusions
- The study presents a comprehensive, publicly available plasma proteome map for CAP.
- Findings elucidate pathophysiological mechanisms and tissue involvement in CAP.
- The identified proteins may serve as targets for developing personalized therapies and improving diagnostic strategies.
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