ArticleClinical chemistry2017
A Genoproteomic Approach to Detect Peptide Markers of Bacterial Respiratory Pathogens.
Article in Clinical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00077909 (Biomarkers and Protein Mass Expression Profiles in Bronchoalveolar Lavage From Patients With Lung Infiltrates), which is not on this map. Cited by 13 papers.
What it found
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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.
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.
Biomarkers and Protein Mass Expression Profiles in Bronchoalveolar Lavage From Patients With Lung Infiltrates
Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Discrimination of CommonJournal of the American Society for Mass Spectrometry · 2024Article
- [Determination of the species origin and thrombin-like enzyme content ofSe pu = Chinese journal of chromatography · 2022Article
- Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases.International journal of molecular sciences · 2022Review
- Assay design for unambiguous identification and quantification of circulating pathogen-derived peptide biomarkers.Theranostics · 2022Article
- Advances in the Microbiology of Stenotrophomonas maltophilia.Clinical microbiology reviews · 2021Article
- New approach for the rational selection of markers to identify botulinum toxins.Archives of toxicology · 2021Article
- A Phylogeny-Informed Proteomics Approach for Species Identification within the Burkholderia cepacia Complex.Journal of clinical microbiology · 2020Article
- Discovery of Species-unique Peptide Biomarkers of Bacterial Pathogens by Tandem Mass Spectrometry-based Proteotyping.Molecular & cellular proteomics : MCP · 2020Article
- Towards next-generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics.Bioinformatics (Oxford, England) · 2020Article
- Rapid and Culture Free Identification ofFrontiers in microbiology · 2020Article
- Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning.Molecular & cellular proteomics : MCP · 2019Article
- Identification of the OXA-48 Carbapenemase Family by Use of Tryptic Peptides and Liquid Chromatography-Tandem Mass Spectrometry.Journal of clinical microbiology · 2019Article
- Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundRapid identification of respiratory pathogens may facilitate targeted antimicrobial therapy. Direct identification of bacteria in bronchoalveolar lavage (BAL) by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry is confounded by interfering substances. We describe a method to identify unique peptide markers of 5 gram-negative bacteria by liquid chromatography-tandem mass spectrometry (LC-MS/MS) for direct pathogen identification in BAL.
methodsIn silico translation and digestion were performed on 14-25 whole genomes representing strains of
resultsFive unique peptides with the highest abundance for each pathogen distinguished these pathogens with varied detection sensitivities. Peptide markers for
conclusionsThis proof-of-concept study shows the feasibility of identifying unique peptides in BAL for 5 gram-negative bacterial pathogens, and it may provide a novel approach for rapid direct identification of bacterial pathogens in BAL.
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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.