LC‐MS based metabolomics identification of novel biomarkers of tobacco smoke‐induced chronic bronchitis

Ren, Xiaolei; Zhang, Jiayu; Fu, Xiaorui; Ma, Shuangshuang; Wang, Chunguo; Wang, Juan; Tian, Simin; Liu, Siqi; Zhao, Baosheng; Wang, Xueyong

doi:10.1002/bmc.3620

Cited by 20 publications

(19 citation statements)

References 47 publications

(70 reference statements)

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“…Metabolomics is an emerging technology that is being used to identify new biomarkers of tobacco smoke exposure (117–125), and for studying COPD (126–128). The assay can be used to identify thousands of small molecules (<1500 Daltons) reflective of exogenous exposures and cellular responses to those exposures.…”

Section: Introductionmentioning

confidence: 99%

A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation

Shields

Berman

Brasky

et al. 2017

Cancer Epidemiology, Biomarkers &Amp; Prevention

110

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The use of electronic cigarettes (e-cigs) is increasing rapidly, but their effects on lung toxicity are largely unknown. Smoking is a well-established cause of lung cancer and respiratory disease, in part through inflammation. It is plausible that e-cig use might affect similar inflammatory pathways. E-cigs are used by some smokers as an aid for quitting or smoking reduction, and by never smokers (e.g., adolescents and young adults). The relative effects for impacting disease risk may differ for these groups. Cell culture and experimental animal data indicate that e-cigs have the potential for inducing inflammation, albeit much less than smoking. Human studies show that e-cig use in smokers is associated with substantial reductions in blood or urinary biomarkers of tobacco toxicants when completely switching and somewhat for dual use. However, the extent to which these biomarkers are surrogates for potential lung toxicity remains unclear. The FDA now has regulatory authority over e-cigs and can regulate product and e-liquid design features such as nicotine content and delivery, voltage, e-liquid formulations, and flavors. All of these factors may impact pulmonary toxicity. This review summarizes current data on pulmonary inflammation related to both smoking and e-cig use, with a focus on human lung biomarkers.

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Section: Introductionmentioning

confidence: 99%

A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation

Shields

Berman

Brasky

et al. 2017

Cancer Epidemiology, Biomarkers &Amp; Prevention

110

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“…Lysophosphatides include LPC, LPE and lysophosphatidic acid (LPA), which are converted from phospholipids through the hydrolysis by the enzyme of phospholipase A2 (PLA2) (Ren et al, ). Owing to different replacement groups, phosphoglyceride can be divided into different classes, such as phosphatidylcholine and phosphatidylethanolamine .…”

Section: Discussionmentioning

confidence: 99%

“…5‐Hydroxytryptamine (5‐HT) is a product of tryptophan through the reaction of hydroxylation and decarboxylation, which is involved in the response of inflammation and pain. 5‐HIAA, as a derivative of 5‐HT, is also involved in the inflammation process (Ren et al, ). It was considered that 5‐HT and its metabolite 5‐HIAA were associated with suicidal/aggressive behavior, which had been described as the major neurochemical system in the patient's brain with major depression (Hamon and Blier, ).…”

Section: Discussionmentioning

confidence: 99%

Plasma metabonomics study on toxicity biomarker in rats treated with Euphorbia fischeriana based on LC–MS

Wang

Man

Gao

et al. 2016

Biomedical Chromatography

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Lang-du (LD) has been traditionally used to treat human diseases in China. Plasma metabolic profiling was applied in this study based on LC-MS to elucidate the toxicity in rats induced by injected ethanol extract of LD. LD injection was given by intraperitoneal injection at doses of 0.1, 0.05, 0.025 and 0 g kg(-1) body weight per day to rats. The blood biochemical levels of alanine aminotransferase, direct bilirubin, creatinine, serum β2-microglobulin and low-density lipoprotein increased in LD-injected rats, and the levels of total protein and albumin decreased in these groups. The metabolic profiles of the samples were analyzed by multivariate statistics analysis, including principal component analysis, partial least squares discriminant analysis and orthogonal projection to latent structures discriminate analysis (OPLS-DA). The metabolic characters in rats injected with LD were perturbed in a dose-dependent manner. By OPLS-DA, 18 metabolites were served as the potential toxicity biomarkers. Moreover, LD treatment resulted in an increase in the p-cresol, p-cresol sulfate, lysophosphatidylethanolamine (LPE) (18:0), LPE (16:0), lysophosphatidylcholine (16:0) and 12-HETE concentrations, and a decrease in hippuric acid, cholic acid and N-acetyl-l-phenylalanine. These results suggested that chronic exposure to LD could cause a disturbance in lipids metabolism and amino acids metabolism, etc. Therefore, an analysis of the metabolic profiles can contribute to a better understanding of the adverse effects of LD. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Mass spectra of these unavailable biomarkers were identified using the accurate mass and MS/MS fragments with searching in reliable biochemical databases such as the Human Metabolome Database (HMDB; http://www.hmdb.ca/) and the Kyoto Encyclopedia of Genes and Genomes (KEGG; http://www. http://kegg.com/) (Ren et al, ; Wang et al, ). The pathway analysis of potential biomarkers was performed with MetaboAnalyst based on database source including HMDB and KEGG.…”

Section: Methodsmentioning

confidence: 99%

A UPLC‐TOF/MS‐based metabolomics study of rattan stems of Schisandra chinensis effects on Alzheimer's disease rats model

Yang

Tan

Liu

et al. 2017

Biomedical Chromatography

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A UPLC-TOF/MS-based metabolomics method was established to explore the therapeutic mechanisms of rattan stems of S. chinensis (SCS) in Alzheimer's disease (AD). Experimental AD model was induced by intra-hippocampal Aβ injection in rats. Cognitive function and oxidative stress condition in brain of AD rats were assessed using Morris water maze tests and antioxidant assays [malondialdehyde (MDA), superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px)], respectively. UPLC-TOF/MS combined with multivariate statistical analysis were conducted to study the changes in metabolic networks in serum of rats. The results indicated that the AD model was established successfully and the inducement of Aβ caused a decline in spatial learning and memory of rats. The injection of Aβ in rat brains significantly elevated the level of MDA, and reduced SOD and GSH-Px activities. In addition, SCS showed significant anti-AD effects on model rats. A total of 30 metabolites were finally identified as potential biomarkers of AD and 14 of them had a significant recovery compared with the AD model after SCS administration. Changes in AD metabolite profiling were restored to different levels through the regulation of 13 pathways. This is first report on the use of the UPLC-TOF/MS-based serum metabolomics method to investigate therapeutic effects of SCS on AD, and enrich potential biomarkers and metabolic networks of AD.

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LC‐MS based metabolomics identification of novel biomarkers of tobacco smoke‐induced chronic bronchitis

Cited by 20 publications

References 47 publications

A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation

A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation

Plasma metabonomics study on toxicity biomarker in rats treated with Euphorbia fischeriana based on LC–MS

A UPLC‐TOF/MS‐based metabolomics study of rattan stems of Schisandra chinensis effects on Alzheimer's disease rats model

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