PMID- 38170364
OWN - NLM
STAT- MEDLINE
DCOM- 20240131
LR  - 20240131
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 31
IP  - 5
DP  - 2024 Jan
TI  - Association between urinary multiple metals and platelet-related parameters: A 
      cross-sectional study in a metal-contaminated area of China.
PG  - 7828-7836
LID - 10.1007/s11356-023-31775-z [doi]
AB  - Previous works have shown that hematological system can be affected by exposure 
      to lead; however, the effects of multiple metals on platelets remain elusive 
      within the population from metal-contaminated areas. Hence, the study enrolled 
      609 participants, with 396 from a metal-exposed area and 213 from a control area. 
      Platelet count (PLT), mean platelet volume (MPV), thrombocytocrit (PCT), platelet 
      to large cell ratio (P-LCR), and platelet distribution width (PDW) were selected 
      to evaluate platelet function. Stepwise regression and Lasso regression were 
      utilized to identify the most influential metals. Moreover, the generalized 
      linear model (GLM), Bayesian kernel machine regression (BKMR) models, and 
      quantile g-computation were employed to estimate the individual or combined 
      effects associations between 12 urinary metals and platelet indices. The results 
      revealed all metals except vanadium, copper, strontium, and molybdenum were 
      significantly higher in the exposed group. The GLM models indicated that urinary 
      metals, including lead, antimony, and arsenic, exhibited associations with PLT, 
      MPV, P-LCR, and PDW. Quantile g-computation and BKMR demonstrated negative 
      correlations between metal mixtures and MPV as well as PDW. In conclusion, the 
      study highlights the associations between multiple metal exposures and platelet 
      indices, suggesting that elevated levels of the metal mixture may impede platelet 
      activation in the population in metal-contaminated areas.
CI  - (c) 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Zheng, Min
AU  - Zheng M
AD  - State Key Laboratory of Environment Health (Incubation), Key Laboratory of 
      Environment and Health, Ministry of Education, Key Laboratory of Environment and 
      Health (Wuhan), Ministry of Environmental Protection, School of Public Health, 
      Tongji Medical College, Huazhong University of Science and Technology, #13 
      Hangkong Road, Wuhan, 430030, Hubei, China.
FAU - Yu, Hang
AU  - Yu H
AD  - Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, 
      Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, 
      School of Environmental Science and Engineering, Institute of Environmental 
      Health and Pollution Control, Guangdong University of Technology, Guangzhou, 
      510006, China.
FAU - An, Taicheng
AU  - An T
AD  - Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, 
      Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, 
      School of Environmental Science and Engineering, Institute of Environmental 
      Health and Pollution Control, Guangdong University of Technology, Guangzhou, 
      510006, China.
FAU - Shen, Xiantao
AU  - Shen X
AD  - State Key Laboratory of Environment Health (Incubation), Key Laboratory of 
      Environment and Health, Ministry of Education, Key Laboratory of Environment and 
      Health (Wuhan), Ministry of Environmental Protection, School of Public Health, 
      Tongji Medical College, Huazhong University of Science and Technology, #13 
      Hangkong Road, Wuhan, 430030, Hubei, China. xtshenlab@hust.edu.cn.
LA  - eng
GR  - 2019YFC1804504/Key Technologies Research and Development Program/
PT  - Journal Article
DEP - 20240103
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 2P299V784P (Lead)
SB  - IM
MH  - Humans
MH  - Cross-Sectional Studies
MH  - Bayes Theorem
MH  - *Mean Platelet Volume
MH  - *Lead
MH  - China
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Combined effect
OT  - Platelet indices
OT  - Smelting area
OT  - Urinary metals
EDAT- 2024/01/04 01:18
MHDA- 2024/01/31 06:42
CRDT- 2024/01/03 12:52
PHST- 2023/09/13 00:00 [received]
PHST- 2023/12/26 00:00 [accepted]
PHST- 2024/01/31 06:42 [medline]
PHST- 2024/01/04 01:18 [pubmed]
PHST- 2024/01/03 12:52 [entrez]
AID - 10.1007/s11356-023-31775-z [pii]
AID - 10.1007/s11356-023-31775-z [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2024 Jan;31(5):7828-7836. doi: 
      10.1007/s11356-023-31775-z. Epub 2024 Jan 3.