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Welding fume exposure is associated with inflammation: a global metabolomics profiling study

BACKGROUND: Increasing evidence suggests that welding fume exposure is associated with systemic inflammation. Although celluar metabolites may be associated with inflammation, there is limited information on metabolomic changes during welding fume exposure. Such changes may play an important role in...

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Autores principales: Shen, Sipeng, Zhang, Ruyang, Zhang, Jinming, Wei, Yongyue, Guo, Yichen, Su, Li, Chen, Feng, Christiani, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106842/
https://www.ncbi.nlm.nih.gov/pubmed/30134906
http://dx.doi.org/10.1186/s12940-018-0412-z
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author Shen, Sipeng
Zhang, Ruyang
Zhang, Jinming
Wei, Yongyue
Guo, Yichen
Su, Li
Chen, Feng
Christiani, David C.
author_facet Shen, Sipeng
Zhang, Ruyang
Zhang, Jinming
Wei, Yongyue
Guo, Yichen
Su, Li
Chen, Feng
Christiani, David C.
author_sort Shen, Sipeng
collection PubMed
description BACKGROUND: Increasing evidence suggests that welding fume exposure is associated with systemic inflammation. Although celluar metabolites may be associated with inflammation, there is limited information on metabolomic changes during welding fume exposure. Such changes may play an important role in the occurrence, development, and prevention of metal-associated diseases. We aim to investigate human metabolomics changes pre- and post-welding fume exposure. METHODS: This study included 52 boilermakers totally. We collected plasma samples pre- and post-shift welding fume exposure and prepared samples using the automated MicroLab STAR® system. Metabolite concentrations were measured using ultra performance liquid chromatography - tandem mass spectrometer (UPLC-MS/MS) methods. Two-way analysis of variance was used to test the significance of metabolite changes with false discovery rate correction. RESULTS: Analysis detected several metabolic changes after welding fume exposure, mainly involved in the lipid pathway [glucocorticoid class (cortisol, corticosterone, and cortisone), acylcarnitine class, and DiHOME species (9,10-DiHOME and 12,13-DiHOME)], amino acid utilization (isoleucine, proline and phenylalanine), and S-(3-hydroxypropyl) mercapturic acid (3-HPMA). These compounds are all associated with inflammation according to previous studies. Further, additive interaction effects linked smoking and 3-HPMA levels. In the metabolite set enrichment analysis for diseases, the top two disease-associated metabolite pathways were systemic inflammation-related diseases including rheumatoid arthritis and systemic lupus erythematosus. CONCLUSIONS: This global metabolomics study shows evidence that metabolite changes during welding fume exposure are closely associated with systemic inflammation. The altered metabolites detected may be potential health monitoring biomarkers for boilermakers, especially for inflammation-related disease prevention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-018-0412-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-61068422018-08-29 Welding fume exposure is associated with inflammation: a global metabolomics profiling study Shen, Sipeng Zhang, Ruyang Zhang, Jinming Wei, Yongyue Guo, Yichen Su, Li Chen, Feng Christiani, David C. Environ Health Research BACKGROUND: Increasing evidence suggests that welding fume exposure is associated with systemic inflammation. Although celluar metabolites may be associated with inflammation, there is limited information on metabolomic changes during welding fume exposure. Such changes may play an important role in the occurrence, development, and prevention of metal-associated diseases. We aim to investigate human metabolomics changes pre- and post-welding fume exposure. METHODS: This study included 52 boilermakers totally. We collected plasma samples pre- and post-shift welding fume exposure and prepared samples using the automated MicroLab STAR® system. Metabolite concentrations were measured using ultra performance liquid chromatography - tandem mass spectrometer (UPLC-MS/MS) methods. Two-way analysis of variance was used to test the significance of metabolite changes with false discovery rate correction. RESULTS: Analysis detected several metabolic changes after welding fume exposure, mainly involved in the lipid pathway [glucocorticoid class (cortisol, corticosterone, and cortisone), acylcarnitine class, and DiHOME species (9,10-DiHOME and 12,13-DiHOME)], amino acid utilization (isoleucine, proline and phenylalanine), and S-(3-hydroxypropyl) mercapturic acid (3-HPMA). These compounds are all associated with inflammation according to previous studies. Further, additive interaction effects linked smoking and 3-HPMA levels. In the metabolite set enrichment analysis for diseases, the top two disease-associated metabolite pathways were systemic inflammation-related diseases including rheumatoid arthritis and systemic lupus erythematosus. CONCLUSIONS: This global metabolomics study shows evidence that metabolite changes during welding fume exposure are closely associated with systemic inflammation. The altered metabolites detected may be potential health monitoring biomarkers for boilermakers, especially for inflammation-related disease prevention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-018-0412-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-22 /pmc/articles/PMC6106842/ /pubmed/30134906 http://dx.doi.org/10.1186/s12940-018-0412-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Shen, Sipeng
Zhang, Ruyang
Zhang, Jinming
Wei, Yongyue
Guo, Yichen
Su, Li
Chen, Feng
Christiani, David C.
Welding fume exposure is associated with inflammation: a global metabolomics profiling study
title Welding fume exposure is associated with inflammation: a global metabolomics profiling study
title_full Welding fume exposure is associated with inflammation: a global metabolomics profiling study
title_fullStr Welding fume exposure is associated with inflammation: a global metabolomics profiling study
title_full_unstemmed Welding fume exposure is associated with inflammation: a global metabolomics profiling study
title_short Welding fume exposure is associated with inflammation: a global metabolomics profiling study
title_sort welding fume exposure is associated with inflammation: a global metabolomics profiling study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106842/
https://www.ncbi.nlm.nih.gov/pubmed/30134906
http://dx.doi.org/10.1186/s12940-018-0412-z
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