ArticleJournal of proteome research2013
Feasibility of identifying the tobacco-related global metabolome in blood by UPLC-QTOF-MS.
Article in Journal of proteome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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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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Who cites it
23 citing papers in PubMed, 40 citations in OpenAlex.
- Associations between Metabolomic Signatures of Persistent Smoking Effects and Lung Cancer Risk among Former Smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Sample Preparation for Metabolomic Analysis in Exercise Physiology.Biomolecules · 2024Review
- Metabolomics-based search for lung cancer markers among patients with different smoking status.Scientific reports · 2024Article
- Mass spectrometry-based metabolomics study of nicotine exposure in THP-1 monocytes.Scientific reports · 2024Article
- The Metabolomic Profile of Microscopic Colitis Is Affected by Smoking but Not Histopathological Diagnosis, Clinical Course, Symptoms, or Treatment.Metabolites · 2024Article
- Electronic cigarette vapor disrupts key metabolic pathways in human lung epithelial cells.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Article
- Role of untargeted omics biomarkers of exposure and effect for tobacco research.Addiction neuroscience · 2023Article
- Development and Application of an LC-MS/MS Untargeted Exposomics Method with a Separated Pooled Quality Control Strategy.Molecules (Basel, Switzerland) · 2022Article
- Dysregulated Metabolites Serve as Novel Biomarkers for Metabolic Diseases Caused by E-Cigarette Vaping and Cigarette Smoking.Metabolites · 2021Article
- Metabolomics Profiles of Smokers from Two Ethnic Groups with Differing Lung Cancer Risk.Chemical research in toxicology · 2020Article
- Pathway Analysis of Global Metabolomic Profiles Identified Enrichment of Caffeine, Energy, and Arginine Metabolism in Smokers but Not Moist Snuff Consumers.Bioinformatics and biology insights · 2019Article
- Untargeted metabolomics reveals multiple metabolites influencing smoking-related DNA methylation.Epigenomics · 2018Article
- Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults.Environmental health perspectives · 2018Article
- A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017Review
- Exhaled breath condensate to discriminate individuals with different smoking habits by GC-TOF/MS.Scientific reports · 2017Article
- Metabolomic profiles of current cigarette smokers.Molecular carcinogenesis · 2017Article
- Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS.Scientific reports · 2016Article
- Cigarette smoking behaviour and blood metabolomics.International journal of epidemiology · 2016Article
- Persistent alterations of gene expression profiling of human peripheral blood mononuclear cells from smokers.Molecular carcinogenesis · 2016Article
- Total Exposure Study Analysis consortium: a cross-sectional study of tobacco exposures.BMC public health · 2015Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
Metabolomics is likely an ideal tool to assess tobacco smoke exposure and the impact of cigarette smoke on human exposure and health. To assess reproducibility and feasibility of this by UPLC-QTOF-MS, three experiments were designed for the assessment of smokers' blood. Experiment I was an analysis of 8 smokers with 8 replicates. Experiment II was an analysis of 62 pooled quality control (QC) samples from 7 nonsmokers' plasma placed as every tenth sample among a study of 613 samples from 160 smokers. Finally, to examine the feasibility of metabolomic study in assessing smoke exposure, Experiment III consisted of 9 smokers and 10 nonsmokers' serum to evaluate differences in their global metabolome. There was minimal measurement and sample preparation variation in all experiments, although some caution is needed when analyzing specific parts of the chromatogram. When assessing QC samples in the large scale study, QC clustering indicated high stability, reproducibility, and consistency. Finally, in addition to the identification of nicotine metabolites as expected, there was a characteristic profile distinguishing smokers from nonsmokers. Metabolites selected from putative identifications were verified by MS/MS, showing the potential to identify metabolic phenotypes and new metabolites relating to cigarette smoke exposure and toxicity.
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