ArticleDiagnostic microbiology and infectious disease2016
Lipid metabolites as potential diagnostic and prognostic biomarkers for acute community acquired pneumonia.
Article in Diagnostic microbiology and infectious disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 65 citations in OpenAlex.
- Proteomic, metabolomic and lipidomic profiles in community acquired pneumonia for differentiating viral and bacterial infections.Scientific reports · 2025Article
- Potential role of serological biomarkers in the diagnosis and prediction of community-acquired pneumonia in elderly individuals.Frontiers in medicine · 2025Review
- Lipids in Equine Airway Inflammation: An Overview of Current Knowledge.Animals : an open access journal from MDPI · 2024Review
- Lipid species profiling of bronchoalveolar lavage fluid cells of horses housed on two different bedding materials.Scientific reports · 2023Article
- Serum sphingolipids aid in diagnosing adult HIV-negative patients with pulmonary cryptococcosis: a clinical cohort study.Journal of thoracic disease · 2023Article
- Circulating sepsis-related metabolite sphinganine could protect against intestinal damage during sepsis.Frontiers in immunology · 2023Article
- Characterization of the Microbiome and Host's Metabolites of the Lower Respiratory Tract During Acute Community-Acquired Pneumonia Identifies Potential Novel Markers.Infection and drug resistance · 2023Article
- A Nomogram for Early Diagnosis of Community-Acquired Pneumonia Based on Bronchoalveolar Lavage Fluid Metabolomics.Infection and drug resistance · 2023Article
- Myristoyl lysophosphatidylcholine is a biomarker and potential therapeutic target for community-acquired pneumonia.Redox biology · 2022Article
- MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data.BMC bioinformatics · 2022Article
- Association between lipid profiles and viral respiratory infections in human sputum samples.Respiratory research · 2022Article
- Targeted lipidomics reveals phospholipids and lysophospholipids as biomarkers for evaluating community-acquired pneumonia.Annals of translational medicine · 2022Article
- Multi-omics association analysis reveals interactions between the oropharyngeal microbiome and the metabolome in pediatric patients with influenza A virus pneumonia.Frontiers in cellular and infection microbiology · 2022Article
- A Metabolomics approach for the diagnosis Of SecondAry InfeCtions in COVID-19 (MOSAIC): a study protocol.BMC infectious diseases · 2021Article
- Alterations in Metabolome and Microbiome Associated with an Early Stress Stage in Male Wistar Rats: A Multi-Omics Approach.International journal of molecular sciences · 2021Article
- mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer.Cancer & metabolism · 2021Article
- Multi-Omics Approach in the Identification of Potential Therapeutic Biomolecule for COVID-19.Frontiers in pharmacology · 2021Review
- Serum Sphingolipids Aiding the Diagnosis of Adult HIV-Negative Patients withFrontiers in cellular and infection microbiology · 2021Article
- MetaClean: a machine learning-based classifier for reduced false positive peak detection in untargeted LC-MS metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Predicting human health from biofluid-based metabolomics using machine learning.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early diagnosis of acute community-acquired pneumonia (CAP) is important in patient triage and treatment decisions. To identify biomarkers that distinguish patients with CAP from non-CAP controls, we conducted an untargeted global metabolome analysis for plasma samples from 142 patients with CAP (CAP cases) and 97 without CAP (non-CAP controls). Thirteen lipid metabolites could discriminate between CAP cases and non-CAP controls with area-under-the-receiver-operating-characteristic curve of >0.8 (P ≤ 10(-9)). The levels of glycosphingolipids, sphingomyelins, lysophosphatidylcholines and L-palmitoylcarnitine were higher, while the levels of lysophosphatidylethanolamines were lower in the CAP cases than those in non-CAP controls. All 13 metabolites could distinguish CAP cases from the non-infection, extrapulmonary infection and non-CAP respiratory tract infection subgroups. The levels of trihexosylceramide (d18:1/16:0) were higher, while the levels of lysophosphatidylethanolamines were lower, in the fatal than those of non-fatal CAP cases. Our findings suggest that lipid metabolites are potential diagnostic and prognostic biomarkers for CAP.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.