ArticleScientific data2018
A prototypic small molecule database for bronchoalveolar lavage-based metabolomics.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- <p>Application of extracellular vesicles in the diagnosis and treatment of chronic obstructive pulmonary disease (Review)</p>.Molecular medicine reports · 2026Review
- Microbiome and metabolome patterns after lung transplantation reflect underlying disease and chronic lung allograft dysfunction.Microbiome · 2024Article
- Metabolomics in pulmonary medicine: extracting the most from your data.The European respiratory journal · 2022Article
- Research Progress of Metabolomics in Asthma.Metabolites · 2021Review
- Effect of bronchoalveolar lavage on the clinical efficacy, inflammatory factors, and immune function in the treatment of refractory pneumonia in children.Translational pediatrics · 2021Article
- Is the Proteome of Bronchoalveolar Lavage Extracellular Vesicles a Marker of Advanced Lung Cancer?Cancers · 2020Article
- A Perspective and Framework for Developing Sample Type Specific Databases for LC/MS-Based Clinical Metabolomics.Metabolites · 2019Article
- Article
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Authors and funding
8 authors.
Funding
Abstract
The analysis of bronchoalveolar lavage fluid (BALF) using mass spectrometry-based metabolomics can provide insight into lung diseases, such as asthma. However, the important step of compound identification is hindered by the lack of a small molecule database that is specific for BALF. Here we describe prototypic, small molecule databases derived from human BALF samples (n=117). Human BALF was extracted into lipid and aqueous fractions and analyzed using liquid chromatography mass spectrometry. Following filtering to reduce contaminants and artifacts, the resulting BALF databases (BALF-DBs) contain 11,736 lipid and 658 aqueous compounds. Over 10% of these were found in 100% of samples. Testing the BALF-DBs using nested test sets produced a 99% match rate for lipids and 47% match rate for aqueous molecules. Searching an independent dataset resulted in 45% matching to the lipid BALF-DB compared to<25% when general databases are searched. The BALF-DBs are available for download from MetaboLights. Overall, the BALF-DBs can reduce false positives and improve confidence in compound identification compared to when general databases are used.
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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 Socratic graph.