2022
DOI: 10.3389/fmolb.2022.907832
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Plasma metabolomics analyses highlight the multifaceted effects of noise exposure and the diagnostic power of dysregulated metabolites for noise-induced hearing loss in steel workers

Abstract: Noise exposure can lead to various kinds of disorders. Noise-induced hearing loss (NIHL) is one of the leading disorders confusing the noise-exposed workers. It is essential to identify NIHL markers for its early diagnosis and new therapeutic targets for its treatment. In this study, a total of 90 plasma samples from 60 noise-exposed steel factory male workers (the noise group) with (NIHL group, n = 30) and without NIHL (non-NIHL group, n = 30) and 30 male controls without noise exposure (control group) were c… Show more

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Cited by 7 publications
(9 citation statements)
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“…The statistical methods chosen for this study have been recently applied in several studies dealing with metabolomics and lipidomics data. [14][15][16][17] Multivariate statistical methods were applied on the transformed data in order to account for the small sample size and the inherent multicollinearity of the data. Unsupervised principal component analysis (PCA) was performed in order to obtain an overall view of the variation between samples and their separation into clusters.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The statistical methods chosen for this study have been recently applied in several studies dealing with metabolomics and lipidomics data. [14][15][16][17] Multivariate statistical methods were applied on the transformed data in order to account for the small sample size and the inherent multicollinearity of the data. Unsupervised principal component analysis (PCA) was performed in order to obtain an overall view of the variation between samples and their separation into clusters.…”
Section: Discussionmentioning
confidence: 99%
“…The metabolite concentrations were log2‐transformed in order to account for the expected high variability and noise found in metabolomics data. The statistical methods chosen for this study have been recently applied in several studies dealing with metabolomics and lipidomics data 14–17 …”
Section: Methodsmentioning
confidence: 99%
“…Multivariate statistical analysis methods include principal component analysis (PCA), hierarchical cluster analysis (HCA), and orthogonal partial least squares discriminant analysis (OPLS-DA). The significantly regulated metabolites between these groups were determined by VIP value > 1 and p value < 0.05 ( Zhang et al., 2022 ). VIP values were extracted from the OPLS-DA results, which also contained score plots and permutation plots generated using the R package MetaboAnalystR (The R Foundation for Statistical Computing, Vienna, Austria).…”
Section: Methodsmentioning
confidence: 99%
“…The main characteristics of the studies carried out in humans are summarized in Table 1. Of the 13 studies included, 8 were performed on urine samples [30][31][32][33][34][35][36][37]; 1 on perilymph [38], 2 on plasma [39,40] and 2 on serum [41,42]. The most commonly used technique for metabolomic profiling was liquid chromatography coupled with mass spectrometry (LC-MS); while only one study was performed by Nuclear Magnetic Resonance (NMR) and two by Gas Chromatography-Mass Spectrometry (GC-MS).…”
Section: Metabolomic Profiling In Humans With Hearing Lossmentioning
confidence: 99%
“…To further investigate how noise exposure affects the autophagy pathway, as part of this study the authors assessed the expression of three autophagy-related genes, namely PI3K, AKT and ATG5, which were found to be significantly down-regulated in NIHL patients compared to controls. Zhang et al [40] studied noise-induced metabolic dysregulation by analysing a total of 90 samples collected from 60 noise exposed individuals, half of whom suffering from NIHL, and 30 HC. A total of 6 pathways resulted to be associated with both NIHL and noise exposure, including retrograde endocannabinoid signaling, sphingolipid signaling pathway, vitamin digestion and absorption, Fc gamma R-mediated phagocytosis, phospholipase D signaling pathway, and central carbon metabolism in cancer.…”
Section: Metabolomic Analysis On Blood-derived Samplesmentioning
confidence: 99%