PMID- 36706997
OWN - NLM
STAT- MEDLINE
DCOM- 20230306
LR  - 20230306
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 869
DP  - 2023 Apr 15
TI  - Associations between multiple heavy metals exposure and neural damage biomarkers 
      in welders: A cross-sectional study.
PG  - 161812
LID - S0048-9697(23)00427-8 [pii]
LID - 10.1016/j.scitotenv.2023.161812 [doi]
AB  - BACKGROUND: Both occupational and environmental exposure to heavy metals are 
      associated with various neurodegenerative diseases. However, limited evidence is 
      available on the potential effects of exposure to metallic mixtures and neural 
      damage. OBJECTIVES: This study aimed to evaluate the association between metal 
      mixtures in urine and neural damage biomarkers in welders. METHODS: In this 
      cross-sectional study, a total of 186 workers were recruited from steel mills. 
      Twenty-three metals in urine were measured by inductively coupled plasma mass 
      spectrometry. Serum neural damage biomarkers, including neurofilament light chain 
      (NfL), sphingosine-1-phosphate (S1P), prolactin (PRL), and dopamine (DA) were 
      detected using enzyme-linked immunosorbent assay kits. Multivariable linear 
      regression, Bayesian kernel machine regression (BKMR), and Quantile g-computation 
      (QG-C) were employed to estimate the association between metals exposure and 
      neural damage biomarkers. RESULTS: Inverted u-shaped associations of nickel with 
      NfL, S1P, and DA were observed in the BKMR model. A non-linear relationship was 
      also found between Fe and PRL. Urinary cobalt was positively associated with 
      serum PRL and had the strongest positive weights in the QG-C model. Urinary lead 
      was associated with higher serum S1P levels. We also found the interaction among 
      nickel, zinc, arsenic, strontium, iron, and lead with the neural damage 
      biomarkers. CONCLUSION: This study provides new evidence of a direct association 
      between metal mixture exposure and the serum biomarkers of neural damage. Several 
      metals Ni, Co, Pb, Sr, As and Fe, may have adverse effects on the nervous system, 
      while Zn may have neuroprotective effects.
CI  - Copyright (c) 2023. Published by Elsevier B.V.
FAU - Wu, Luli
AU  - Wu L
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Capital Medical University, 100069 Beijing, China; Beijing Key Laboratory 
      of Environmental Toxicology, School of Public Health, Capital Medical University, 
      100069 Beijing, China.
FAU - Cui, Fengtao
AU  - Cui F
AD  - Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, 
      Huaibei, Anhui Province 235000, China.
FAU - Zhang, Shixuan
AU  - Zhang S
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Capital Medical University, 100069 Beijing, China; Beijing Key Laboratory 
      of Environmental Toxicology, School of Public Health, Capital Medical University, 
      100069 Beijing, China.
FAU - Ding, Xinping
AU  - Ding X
AD  - Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, 
      Huaibei, Anhui Province 235000, China.
FAU - Gao, Wei
AU  - Gao W
AD  - Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, 
      Huaibei, Anhui Province 235000, China.
FAU - Chen, Li
AU  - Chen L
AD  - Experimental Teaching Center, School of Public Health, Capital Medical 
      University, Beijing 100069, China.
FAU - Ma, Junxiang
AU  - Ma J
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Capital Medical University, 100069 Beijing, China; Beijing Key Laboratory 
      of Environmental Toxicology, School of Public Health, Capital Medical University, 
      100069 Beijing, China. Electronic address: majxiang83@ccmu.edu.cn.
FAU - Niu, Piye
AU  - Niu P
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Capital Medical University, 100069 Beijing, China; Beijing Key Laboratory 
      of Environmental Toxicology, School of Public Health, Capital Medical University, 
      100069 Beijing, China. Electronic address: niupiye@ccmu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20230124
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 7OV03QG267 (Nickel)
RN  - 0 (Metals, Heavy)
RN  - 0 (Biomarkers)
SB  - IM
MH  - Humans
MH  - Cross-Sectional Studies
MH  - *Nickel
MH  - Metal Workers
MH  - Bayes Theorem
MH  - *Metals, Heavy
MH  - Biomarkers
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Multiple metals
OT  - Neural damage
OT  - Neurofilament light chain protein
OT  - Quantile g-computation
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/01/28 06:00
MHDA- 2023/03/07 06:00
CRDT- 2023/01/27 19:25
PHST- 2022/08/29 00:00 [received]
PHST- 2023/01/15 00:00 [revised]
PHST- 2023/01/20 00:00 [accepted]
PHST- 2023/01/28 06:00 [pubmed]
PHST- 2023/03/07 06:00 [medline]
PHST- 2023/01/27 19:25 [entrez]
AID - S0048-9697(23)00427-8 [pii]
AID - 10.1016/j.scitotenv.2023.161812 [doi]
PST - ppublish
SO  - Sci Total Environ. 2023 Apr 15;869:161812. doi: 10.1016/j.scitotenv.2023.161812. 
      Epub 2023 Jan 24.