ArticleCritical care (London, England)2023
Serum-integrated omics reveal the host response landscape for severe pediatric community-acquired pneumonia.
Article in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 47 citations in OpenAlex.
- Multi-omics integration of proteomics and metabolomics in pediatric health and disease.Communications medicine · 2026Review
- Serum mass spectral fingerprints with machine learning for early discrimination of infectious pneumonia in the emergency department.BMC infectious diseases · 2026Observational
- A large-scale single-cell transcriptomic atlas indicates the immune panorama of influenza A infection.iMeta · 2026Article
- Association of the LncRNA TINCR rs2288947 polymorphism with survival outcomes in severe pneumonia among Han Chinese children.European journal of medical research · 2026Article
- Prognostic value of IL-6, HMGB1, and TLR4 in bronchoalveolar lavage fluid of patients with community-acquired pneumonia.American journal of translational research · 2026Article
- A Large-Scale Single-Cell Atlas Reveals the Peripheral Immune Panorama of Bacterial Pneumonia.American journal of respiratory and critical care medicine · 2025Article
- Prospective multicenter study identifying prognostic biomarkers and microbial profiles in severe CAP using BALF, blood mNGS, and PBMC transcriptomics.Scientific reports · 2025Article
- Uncovering host response in adults with severe community-acquired pneumonia: a proteomics and metabolomics perspective study.World journal of emergency medicine · 2025Article
- Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review.Journal of translational medicine · 2025Review
- Proteomic, metabolomic and lipidomic profiles in community acquired pneumonia for differentiating viral and bacterial infections.Scientific reports · 2025Article
- A pan-immune panorama of bacterial pneumonia revealed by a large-scale single-cell transcriptome atlas.Signal transduction and targeted therapy · 2025Article
- Unlocking the secrets of glucose metabolism reprogramming: the role in pulmonary diseases.Frontiers in pharmacology · 2025Review
- Microbial and clinical disparities in pneumonia: insights from metagenomic next-generation sequencing in patients with community-acquired and severe pneumonia.Frontiers in microbiology · 2025Article
- Single-cell transcriptome atlas revealed bronchoalveolar immune features related to disease severity in pediatricMedComm · 2024Article
- Article
- Dysregulated proteasome activity and steroid hormone biosynthesis are associated with mortality among patients with acute COVID-19.Journal of translational medicine · 2024Article
- Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS.Critical care (London, England) · 2024Observational
- A multimodal integration pipeline for accurate diagnosis, pathogen identification, and prognosis prediction of pulmonary infections.Innovation (Cambridge (Mass.)) · 2024Article
- Omics-based profiles and biomarkers of respiratory infections: are we there yet?The European respiratory journal · 2024Article
- Article
Corrections and comments
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Authors and funding
18 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveCommunity-acquired pneumonia (CAP) is the primary cause of death for children under five years of age globally. Hence, it is essential to investigate new early biomarkers and potential mechanisms involved in disease severity.
methodsProteomics combined with metabolomics was performed to identify biomarkers suitable for early diagnosis of severe CAP. In the training cohort, proteomics and metabolomics were performed on serum samples obtained from 20 severe CAPs (S-CAPs), 15 non-severe CAPs (NS-CAPs) and 15 healthy controls (CONs). In the verification cohort, selected biomarkers and their combinations were validated using ELISA and metabolomics in an independent cohort of 129 subjects. Finally, a combined proteomics and metabolomics analysis was performed to understand the major pathological features and reasons for severity of CAP.
resultsThe proteomic and metabolic signature was markedly different between S-CAPs, NS-CAPs and CONs. A new serum biomarker panel including 2 proteins [C-reactive protein (CRP), lipopolysaccharide (LBP)] and 3 metabolites [Fasciculol C, PE (14:0/16:1(19Z)), PS (20:0/22:6(4Z, 7Z, 10Z, 13Z, 16Z, 19Z))] was developed to identify CAP and to distinguish severe pneumonia. Pathway analysis of changes revealed activation of the cell death pathway, a dysregulated complement system, coagulation cascade and platelet function, and the inflammatory responses as contributors to tissue damage in children with CAP. Additionally, activation of glycolysis and higher levels of nucleotides led to imbalanced deoxyribonucleotide pools contributing to the development of severe CAP. Finally, dysregulated lipid metabolism was also identified as a potential pathological mechanism for severe progression of CAP.
conclusionThe integrated analysis of the proteome and metabolome might open up new ways in diagnosing and uncovering the complexity of severity of CAP.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.