Literature DB >> 22292500

Metabolomic characterization of laborers exposed to welding fumes.

Kuo-Ching Wang1, Ching-Hua Kuo, Tze-Feng Tian, Mong-Hsun Tsai, Yin-Mei Chiung, Chun-Ming Hsiech, Sung-Jeng Tsai, San-Yuan Wang, Dong-Ming Tsai, Chiang-Ching Huang, Y Jane Tseng.   

Abstract

The complex composition of welding fumes, multiplicity of molecular targets, diverse cellular effects, and lifestyles associated with laborers vastly complicate the assessment of welding fume exposure. The urinary metabolomic profiles of 35 male welders and 16 male office workers at a Taiwanese shipyard were characterized via (1)H NMR spectroscopy and pattern recognition methods. Blood samples for the same 51 individuals were also collected, and the expression levels of the cytokines and other inflammatory markers were examined. This study dichotomized the welding exposure variable into high (welders) versus low (office workers) exposures to examine the differences of continuous outcome markers-metabolites and inflammatory markers-between the two groups. Fume particle assessments showed that welders were exposed to different concentrations of chromium, nickel, and manganese particles. Multivariate statistical analysis of urinary metabolomic patterns showed higher levels of glycine, taurine, betaine/TMAO, serine, S-sulfocysteine, hippurate, gluconate, creatinine, and acetone and lower levels of creatine among welders, while only TNF-α was significantly associated with welding fume exposure among all cytokines and other inflammatory markers measured. Of the identified metabolites, the higher levels of glycine, taurine, and betaine among welders were suspected to play some roles in modulating inflammatory and oxidative tissue injury processes. In this metabolomics experiment, we also discovered that the association of the identified metabolites with welding exposure was confounded by smoking, but not with drinking, which is a finding consistent with known modified response of inflammatory markers among smokers. Our results correspond with prior studies that utilized nonmetabolomic analytical techniques and suggest that the metabolomic profiling is an efficient method to characterize the overall effect of welding fume exposure and other confounders.
© 2012 American Chemical Society

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22292500     DOI: 10.1021/tx200465e

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  14 in total

1.  Metabolomic profiles of plasma, exhaled breath condensate, and saliva are correlated with potential for air toxics detection.

Authors:  Chandresh Nanji Ladva; Rachel Golan; Roby Greenwald; Tianwei Yu; Stefanie Ebelt Sarnat; W Dana Flanders; Karan Uppal; Douglas I Walker; ViLinh Tran; Donghai Liang; Dean P Jones; Jeremy A Sarnat
Journal:  J Breath Res       Date:  2017-12-06       Impact factor: 3.262

Review 2.  Metabolomics for exposure assessment and toxicity effects of occupational pollutants: current status and future perspectives.

Authors:  Fatemeh Dehghani; Saeed Yousefinejad; Douglas I Walker; Fariborz Omidi
Journal:  Metabolomics       Date:  2022-09-09       Impact factor: 4.747

3.  Urinary metabolomics revealed arsenic internal dose-related metabolic alterations: a proof-of-concept study in a Chinese male cohort.

Authors:  Jie Zhang; Heqing Shen; Weipan Xu; Yankai Xia; Dana Boyd Barr; Xiaoli Mu; Xiaoxue Wang; Liangpo Liu; Qingyu Huang; Meiping Tian
Journal:  Environ Sci Technol       Date:  2014-10-02       Impact factor: 9.028

Review 4.  Animal-Free Chemical Safety Assessment.

Authors:  George D Loizou
Journal:  Front Pharmacol       Date:  2016-07-21       Impact factor: 5.810

5.  Integration of Traditional and Metabolomics Biomarkers Identifies Prognostic Metabolites for Predicting Responsiveness to Nutritional Intervention against Oxidative Stress and Inflammation.

Authors:  You Jin Kim; Iksoo Huh; Ji Yeon Kim; Saejong Park; Sung Ha Ryu; Kyu-Bong Kim; Suhkmann Kim; Taesung Park; Oran Kwon
Journal:  Nutrients       Date:  2017-03-04       Impact factor: 5.717

6.  Short Report: Using Targeted Urine Metabolomics to Distinguish Between Manganese Exposed and Unexposed Workers in a Small Occupational Cohort.

Authors:  Kayla A Carter; Christopher D Simpson; Daniel Raftery; Marissa G Baker
Journal:  Front Public Health       Date:  2021-05-20

7.  Metabolomics tools for describing complex pesticide exposure in pregnant women in Brittany (France).

Authors:  Nathalie Bonvallot; Marie Tremblay-Franco; Cécile Chevrier; Cécile Canlet; Charline Warembourg; Jean-Pierre Cravedi; Sylvaine Cordier
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

8.  Global metabolomic profiling reveals an association of metal fume exposure and plasma unsaturated fatty acids.

Authors:  Yongyue Wei; Zhaoxi Wang; Chiung-yu Chang; Tianteng Fan; Li Su; Feng Chen; David C Christiani
Journal:  PLoS One       Date:  2013-10-15       Impact factor: 3.240

Review 9.  Metabolomics and Its Application to Acute Lung Diseases.

Authors:  Kathleen A Stringer; Ryan T McKay; Alla Karnovsky; Bernadette Quémerais; Paige Lacy
Journal:  Front Immunol       Date:  2016-02-29       Impact factor: 7.561

10.  Metabolomic patterns associated to QTc interval in shiftworkers: an explorative analysis.

Authors:  Marcello Campagna; Emanuela Locci; Roberto Piras; Antonio Noto; Luigi Isaia Lecca; Ilaria Pilia; Pierluigi Cocco; Ernesto d'Aloja; Paola Scano
Journal:  Biomarkers       Date:  2016-04-28       Impact factor: 2.658

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.