PMID- 37125027
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230502
IS  - 2296-861X (Print)
IS  - 2296-861X (Electronic)
IS  - 2296-861X (Linking)
VI  - 10
DP  - 2023
TI  - Single and combined associations of blood lead and essential metals with serum 
      lipid profiles in community-dwelling adults.
PG  - 1129169
LID - 10.3389/fnut.2023.1129169 [doi]
LID - 1129169
AB  - BACKGROUND: Although several studies have examined the relationships between lead 
      (Pb) exposure and serum lipid profiles, the associations of the metal mixture, 
      including lead (Pb) and essential metals with lipid profiles, remain unclear. 
      OBJECTIVE: To investigate the associations of the metal mixture including Pb and 
      essential metals [magnesium (Mg), manganese (Mn), copper (Cu), iron (Fe), zinc 
      (Zn), and calcium (Ca)] with serum lipid profiles [total cholesterol (TC), 
      triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density 
      lipoprotein cholesterol (HDL-C)], as well as the potential interactions among the 
      metals. METHODS: Nine hundred and ninety-eight Chinese community-dwelling adults 
      completed a questionnaire and underwent checkups of anthropometric parameters, 
      serum lipid profile levels (TC, TG, LDL-C, and HDL-C), and blood metal 
      concentrations (Pb, Mg, Mn, Cu, Fe, Zn, and Ca). The multivariable linear 
      regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine 
      regression (BKMR) were applied to evaluate the single and combined associations 
      of blood Pb and essential metals with serum lipid profiles. RESULTS: In the 
      multivariable linear regression model, the blood Pb was positively associated 
      with TC, LDL-C, and HDL-C (p < 0.05, all), and the blood Mg were positively 
      associated with serum TC, LDL-C, and Ln TG (p < 0.05, all). In the WQS regression 
      and BKMR models, the metal mixture of blood Pb and the essential metals was 
      positively associated with all of the serum lipid profiles. In addition, an 
      inverse U-shaped association of Pb with Ln TG and the positive interactive effect 
      between blood Pb and Mg levels on TC and LDL-C were found. CONCLUSION: The levels 
      of blood Pb, together with the essential metals, especially Mg levels, are 
      suggested to be considered when assessing dyslipidemia risk. However, more 
      evidence is still needed to validate the conclusions.
CI  - Copyright (c) 2023 Wan, Wang, Liang, He, Ma, Li, He, Guo, Wang, Li, Lin, Liu and 
      Shen.
FAU - Wan, Heng
AU  - Wan H
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - Wang, Dongmei
AU  - Wang D
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - Liang, Yongqian
AU  - Liang Y
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - He, Yajun
AU  - He Y
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - Ma, Qintao
AU  - Ma Q
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - Li, Tingting
AU  - Li T
AD  - School of Public Health, Southern Medical University, Guangzhou, Guangdong, 
      China.
FAU - He, Yingbo
AU  - He Y
AD  - School of Public Health, Southern Medical University, Guangzhou, Guangdong, 
      China.
FAU - Guo, Hanquan
AU  - Guo H
AD  - School of Public Health, Southern Medical University, Guangzhou, Guangdong, 
      China.
FAU - Wang, Jiachen
AU  - Wang J
AD  - School of Public Health, Southern Medical University, Guangzhou, Guangdong, 
      China.
FAU - Li, Zhao
AU  - Li Z
AD  - Department of Business Development, Shunde Hospital, Southern Medical University 
      (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - Lin, Xu
AU  - Lin X
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - Liu, Lan
AU  - Liu L
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
FAU - Shen, Jie
AU  - Shen J
AD  - Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical 
      University (The First People's Hospital of Shunde), Foshan, Guangdong, China.
LA  - eng
PT  - Journal Article
DEP - 20230414
PL  - Switzerland
TA  - Front Nutr
JT  - Frontiers in nutrition
JID - 101642264
PMC - PMC10140323
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - lead
OT  - lipid profiles
OT  - magnesium
OT  - metal mixture
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2023/05/01 06:42
MHDA- 2023/05/01 06:43
PMCR- 2023/01/01
CRDT- 2023/05/01 03:53
PHST- 2022/12/21 00:00 [received]
PHST- 2023/03/23 00:00 [accepted]
PHST- 2023/05/01 06:43 [medline]
PHST- 2023/05/01 06:42 [pubmed]
PHST- 2023/05/01 03:53 [entrez]
PHST- 2023/01/01 00:00 [pmc-release]
AID - 10.3389/fnut.2023.1129169 [doi]
PST - epublish
SO  - Front Nutr. 2023 Apr 14;10:1129169. doi: 10.3389/fnut.2023.1129169. eCollection 
      2023.