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

Overview of attention for article published in Environmental Health, August 2018
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Title
Welding fume exposure is associated with inflammation: a global metabolomics profiling study
Published in
Environmental Health, August 2018
DOI 10.1186/s12940-018-0412-z
Pubmed ID
Authors

Sipeng Shen, Ruyang Zhang, Jinming Zhang, Yongyue Wei, Yichen Guo, Li Su, Feng Chen, David C. Christiani

Abstract

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. 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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Other 11 18%
Researcher 9 15%
Student > Master 8 13%
Student > Bachelor 4 6%
Student > Ph. D. Student 4 6%
Other 9 15%
Unknown 17 27%
Readers by discipline Count As %
Medicine and Dentistry 23 37%
Nursing and Health Professions 5 8%
Environmental Science 4 6%
Agricultural and Biological Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 5 8%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2018.
All research outputs
#14,139,149
of 23,100,534 outputs
Outputs from Environmental Health
#1,022
of 1,510 outputs
Outputs of similar age
#180,809
of 334,082 outputs
Outputs of similar age from Environmental Health
#8
of 12 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.