PMID- 36950101
OWN - NLM
STAT- MEDLINE
DCOM- 20230324
LR  - 20230329
IS  - 2296-2565 (Electronic)
IS  - 2296-2565 (Linking)
VI  - 11
DP  - 2023
TI  - Associations of metal mixtures with metabolic-associated fatty liver disease and 
      non-alcoholic fatty liver disease: NHANES 2003-2018.
PG  - 1133194
LID - 10.3389/fpubh.2023.1133194 [doi]
LID - 1133194
AB  - OBJECTIVE: The hepatotoxicity of exposure to a single heavy metal has been 
      examined in previous studies. However, there is limited evidence on the 
      association between heavy metals mixture and non-alcoholic fatty liver disease 
      (NAFLD) and metabolic-associated fatty liver disease (MAFLD). This study aims to 
      investigate the associations of 13 urinary metals, individually and jointly, with 
      NAFLD, MAFLD, and MAFLD components. METHODS: This study included 5,548 adults 
      from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. 
      Binary logistic regression was used to explore the associations between 
      individual metal exposures and MAFLD, NAFLD, and MAFLD components. Bayesian 
      kernel machine regression (BKMR) and Quantile-based g-computation (QGC) were used 
      to investigate the association of metal mixture exposure with these outcomes. 
      RESULTS: In single metal analysis, increased levels of arsenic [OR 1.09 (95%CI 
      1.03-1.16)], dimethylarsinic acid [1.17 (95%CI 1.07-1.27)], barium [1.22 (95%CI 
      1.14-1.30)], cobalt [1.22 (95%CI 1.11-1.34)], cesium [1.35 (95%CI 1.18-1.54)], 
      molybdenum [1.45 (95%CI 1.30-1.62)], antimony [1.18 (95%CI 1.08-1.29)], thallium 
      [1.49 (95%CI 1.33-1.67)], and tungsten [1.23 (95%CI 1.15-1.32)] were 
      significantly associated with MAFLD risk after adjusting for potential 
      covariates. The results for NAFLD were similar to those for MAFLD, except for 
      arsenic, which was insignificantly associated with NAFLD. In mixture analysis, 
      the overall metal mixture was positively associated with MAFLD, NAFLD, and MAFLD 
      components, including obesity/overweight, diabetes, and metabolic dysfunction. In 
      both BKMR and QGC models, thallium, molybdenum, tungsten, and barium mainly 
      contributed to the positive association with MAFLD. CONCLUSION: Our study 
      indicated that exposure to heavy metals, individually or cumulatively, was 
      positively associated with NAFLD, MAFLD, and MAFLD components, including 
      obesity/overweight, diabetes, and metabolic dysfunction. Additional research is 
      needed to validate these findings in longitudinal settings.
CI  - Copyright (c) 2023 Xie, Aimuzi, Si, Qu and Jiang.
FAU - Xie, Zhilan
AU  - Xie Z
AD  - School of Population Medicine and Public Health, Chinese Academy of Medical 
      Sciences and Peking Union Medical College, Beijing, China.
FAU - Aimuzi, Ruxianguli
AU  - Aimuzi R
AD  - School of Population Medicine and Public Health, Chinese Academy of Medical 
      Sciences and Peking Union Medical College, Beijing, China.
FAU - Si, Mingyu
AU  - Si M
AD  - School of Population Medicine and Public Health, Chinese Academy of Medical 
      Sciences and Peking Union Medical College, Beijing, China.
FAU - Qu, Yimin
AU  - Qu Y
AD  - School of Population Medicine and Public Health, Chinese Academy of Medical 
      Sciences and Peking Union Medical College, Beijing, China.
FAU - Jiang, Yu
AU  - Jiang Y
AD  - School of Population Medicine and Public Health, Chinese Academy of Medical 
      Sciences and Peking Union Medical College, Beijing, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230306
PL  - Switzerland
TA  - Front Public Health
JT  - Frontiers in public health
JID - 101616579
RN  - 81AH48963U (Molybdenum)
RN  - AD84R52XLF (Thallium)
RN  - 24GP945V5T (Barium)
RN  - N712M78A8G (Arsenic)
RN  - V9306CXO6G (Tungsten)
SB  - IM
MH  - Adult
MH  - Humans
MH  - *Non-alcoholic Fatty Liver Disease/epidemiology
MH  - Molybdenum
MH  - Nutrition Surveys
MH  - Thallium
MH  - Barium
MH  - *Arsenic
MH  - Bayes Theorem
MH  - Overweight
MH  - Tungsten
MH  - Obesity
PMC - PMC10025549
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - heavy metals
OT  - metabolic associated fatty liver disease
OT  - non-alcoholic fatty liver disease
OT  - quantile-based g-computation
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- 2023/03/24 06:00
MHDA- 2023/03/25 06:00
PMCR- 2023/03/06
CRDT- 2023/03/23 02:20
PHST- 2022/12/28 00:00 [received]
PHST- 2023/02/14 00:00 [accepted]
PHST- 2023/03/23 02:20 [entrez]
PHST- 2023/03/24 06:00 [pubmed]
PHST- 2023/03/25 06:00 [medline]
PHST- 2023/03/06 00:00 [pmc-release]
AID - 10.3389/fpubh.2023.1133194 [doi]
PST - epublish
SO  - Front Public Health. 2023 Mar 6;11:1133194. doi: 10.3389/fpubh.2023.1133194. 
      eCollection 2023.