Literature DB >> 33467557

Untargeted Urinary Metabolomics and Children's Exposure to Secondhand Smoke: The Influence of Individual Differences.

Huiwei Zhu1,2, Abu S Abdullah3,4,5, Jingyi He1,2, Jianxiong Xi1,2, Yimeng Mao1,2, Yitian Feng1,2, Qianyi Xiao1,2, Pinpin Zheng1,2.   

Abstract

Children's exposure to secondhand smoke (SHS) is a severe public health problem. There is still a lack of evidence regarding panoramic changes in children's urinary metabolites induced by their involuntary exposure to SHS, and few studies have considered individual differences. This study aims to clarify the SHS-induced changes in urinary metabolites in preschool children by using cross-sectional and longitudinal metabolomics analyses. Urinary metabolites were quantified by using untargeted ultra high-performance liquid chromatography-mass spectrometry (UPLC(c)-MS/MS). Urine cotinine-measured SHS exposure was examined to determine the exposure level. A cross-sectional study including 17 children in a low-exposure group, 17 in a medium-exposure group, and 17 in a high-exposure group was first conducted. Then, a before-after study in the cohort of children was carried out before and two months after smoking-cessation intervention for family smokers. A total of 43 metabolites were discovered to be related to SHS exposure in children in the cross-sectional analysis (false discovery rate (FDR) corrected p < 0.05, variable importance in the projection (VIP) > 1.0). Only three metabolites were confirmed to be positively associated with children's exposure to SHS (FDR corrected p < 0.05) in a follow-up longitudinal analysis, including kynurenine, tyrosyl-tryptophan, and 1-(3-pyridinyl)-1,4-butanediol, the latter of which belongs to carbonyl compounds, peptides, and pyridines. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that 1-(3-pyridinyl)-1,4-butanediol and kynurenine were significantly enriched in xenobiotic metabolism by cytochrome P450 (p = 0.040) and tryptophan metabolism (p = 0.030), respectively. These findings provide new insights into the pathophysiological mechanism of SHS and indicate the influence of individual differences in SHS-induced changes in urinary metabolites in children.

Entities:  

Keywords:  children; cotinine; metabolomics; secondhand smoke; untargeted

Year:  2021        PMID: 33467557      PMCID: PMC7830063          DOI: 10.3390/ijerph18020710

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  53 in total

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Authors:  Jason E Lang; Allen J Dozor; Janet T Holbrook; Edward Mougey; Sankaran Krishnan; Shawn Sweeten; Robert A Wise; W Gerald Teague; Christine Y Wei; David Shade; John J Lima
Journal:  J Allergy Clin Immunol Pract       Date:  2013-01-12

2.  Application of CE-MS to a metabonomics study of human urine from cigarette smokers and non-smokers.

Authors:  Isabel Garcia-Perez; John C Lindon; Emmanuel Minet
Journal:  Bioanalysis       Date:  2014-10       Impact factor: 2.681

Review 3.  Exposure to tobacco smoke and low birth weight: from epidemiology to metabolomics.

Authors:  Angelica Dessì; Laura Corona; Roberta Pintus; Vassilios Fanos
Journal:  Expert Rev Proteomics       Date:  2018-08-03       Impact factor: 3.940

4.  Metabolomics using GC-TOF-MS followed by subsequent GC-FID and HILIC-MS/MS analysis revealed significantly altered fatty acid and phospholipid species profiles in plasma of smokers.

Authors:  Daniel C Müller; Christian Degen; Gerhard Scherer; Gerhard Jahreis; Reinhard Niessner; Max Scherer
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2014-03-03       Impact factor: 3.205

5.  Prognostic impact of coronary vasodilator dysfunction on adverse long-term outcome of coronary heart disease.

Authors:  V Schächinger; M B Britten; A M Zeiher
Journal:  Circulation       Date:  2000-04-25       Impact factor: 29.690

6.  Quantitation of Neurotoxic Metabolites of the Kynurenine Pathway by Laser Desorption Ionization Mass Spectrometry (LDI-MS).

Authors:  Pallavi Lahiri; Deepika Dhaware; Ajeet Singh; Venkateswarlu Panchagnula; Dipankar Ghosh
Journal:  Methods Mol Biol       Date:  2019

7.  Vitamins B2 and B6 as determinants of kynurenines and related markers of interferon-γ-mediated immune activation in the community-based Hordaland Health Study.

Authors:  Despoina Theofylaktopoulou; Arve Ulvik; Øivind Midttun; Per Magne Ueland; Stein Emil Vollset; Ottar Nygård; Steinar Hustad; Grethe S Tell; Simone J P M Eussen
Journal:  Br J Nutr       Date:  2014-08-08       Impact factor: 3.718

8.  Tobacco smoke exposure is associated with attenuated endothelial function in 11-year-old healthy children.

Authors:  Katariina Kallio; Eero Jokinen; Olli T Raitakari; Mauri Hämäläinen; Marja Siltala; Iina Volanen; Tuuli Kaitosaari; Jorma Viikari; Tapani Rönnemaa; Olli Simell
Journal:  Circulation       Date:  2007-06-04       Impact factor: 29.690

9.  Environmental tobacco smoke and children's health.

Authors:  Sang-Hyun Hwang; Jong Hee Hwang; Jin Soo Moon; Do-Hoon Lee
Journal:  Korean J Pediatr       Date:  2012-02-14

10.  Non-targeted UHPLC-MS metabolomic data processing methods: a comparative investigation of normalisation, missing value imputation, transformation and scaling.

Authors:  Riccardo Di Guida; Jasper Engel; J William Allwood; Ralf J M Weber; Martin R Jones; Ulf Sommer; Mark R Viant; Warwick B Dunn
Journal:  Metabolomics       Date:  2016-04-15       Impact factor: 4.290

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  2 in total

1.  Lipid profiles and differential lipids in serum related to severity of community-acquired pneumonia: A pilot study.

Authors:  Li Chen; Yali Zheng; Lili Zhao; Ying Zhang; Lu Yin; Yukun He; Xinqian Ma; Yu Xu; Zhancheng Gao
Journal:  PLoS One       Date:  2021-03-11       Impact factor: 3.240

2.  Disturbed microbial ecology in Alzheimer's disease: evidence from the gut microbiota and fecal metabolome.

Authors:  Jianxiong Xi; Ding Ding; Huiwei Zhu; Ruru Wang; Feng Su; Wanqing Wu; Zhenxu Xiao; Xiaoniu Liang; Qianhua Zhao; Zhen Hong; Hua Fu; Qianyi Xiao
Journal:  BMC Microbiol       Date:  2021-08-12       Impact factor: 3.605

  2 in total

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