ArticlePloS one2013
Proteomic profiling of bronchoalveolar lavage fluid in critically ill patients with ventilator-associated pneumonia.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Emerging strategies for the noninvasive diagnosis of nosocomial pneumonia.Expert review of anti-infective therapy · 2019Pooled it
- Therapeutic Potential ofFood science & nutrition · 2026Article
- Longitudinal proteomic analysis of pathophysiology in plasma and bronchoalveolar lavage fluid of patients with ARDS.Journal of intensive care · 2025Article
- Transforming Microbiological Diagnostics in Nosocomial Lower Respiratory Tract Infections: Innovations Shaping the Future.Diagnostics (Basel, Switzerland) · 2025Review
- Proteome signature for differential diagnosis of patients with bilateral lung infiltrates.ERJ open research · 2025Article
- Microbial dynamics and pulmonary immune responses in COVID-19 secondary bacterial pneumonia.Nature communications · 2024Article
- A breath-based in vitro diagnostic assay for the detection of lower respiratory tract infections.PNAS nexus · 2024Article
- Molecular mechanism analysis of nontuberculous mycobacteria infection in patients with cystic fibrosis.Future microbiology · 2024Article
- Unveiling Ventilator-Associated Pneumonia: S100A8 as a Promising Biomarker Through Integrated RNA-Seq Analysis.Journal of multidisciplinary healthcare · 2024Article
- Review
- Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes.Respiratory research · 2022Review
- Non-targeted proteomics of acute respiratory distress syndrome: clinical and research applications.Proteome science · 2021Review
- Human body-fluid proteome: quantitative profiling and computational prediction.Briefings in bioinformatics · 2021Review
- Molecular Profiling of Innate Immune Response Mechanisms in Ventilator-associated Pneumonia.Molecular & cellular proteomics : MCP · 2020Article
- Combined Use of Three Machine Learning Modeling Methods to Develop a Ten-Gene Signature for the Diagnosis of Ventilator-Associated Pneumonia.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Composition and origin of lung fluid proteome in premature infants and relationship to respiratory outcome.PloS one · 2020Article
- Biomarkers in Pneumonia-Beyond Procalcitonin.International journal of molecular sciences · 2019Review
- Neutrophil extracellular traps (NETs) are increased in the alveolar spaces of patients with ventilator-associated pneumonia.Critical care (London, England) · 2018Article
- Differential regulation of the transcriptomic and secretomic landscape of sensor and effector functions of human airway epithelial cells.Mucosal immunology · 2018Article
- Aging increases the expression of lung CINCs and MCP-1 in senile patients with pneumonia.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
rationaleVentilator-associated pneumonia (VAP) is a common complication in patients with acute lung injury (ALI) and can lead to increased morbidity and mortality. Identifying protein profiles specific to VAP in bronchoalveolar lavage fluid (BALF) may aid in earlier diagnosis, elucidate mechanisms of disease, and identify putative targets for therapeutic intervention.
methodsBALF was obtained from 5 normal subjects and 30 ALI patients: 14 with VAP (VAP(+)) and 16 without VAP (VAP(-)). Each sample underwent shotgun proteomic analysis based on tandem mass spectrometry. Differentially expressed proteins between the groups were identified using statistical methods based on spectral counting. Mechanisms of disease were explored using functional annotation and protein interaction network analysis. Supervised classification algorithms were implemented to discover a proteomic classifier for identifying critically ill patients with VAP.
resultsALI patients had distinct BALF proteomic profiles compared to normal controls. Within the ALI group, we identified 76 differentially expressed proteins between VAP(+) and VAP(-). Functional analysis of these proteins suggested activation of pro-inflammatory pathways during VAP. We identified and validated a limited proteomic signature that discriminated VAP(+) from VAP(-) patients comprised of three proteins: S100A8, lactotransferrin (LTF), and actinin 1 (ACTN1).
conclusionsCombining proteomic with computational analyses is a powerful approach to study the BALF proteome during lung injury and development of VAP. This integrative methodology is a promising strategy to differentiate clinically relevant subsets of ALI patients, including those suffering from VAP.
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