PMID- 35099691
OWN - NLM
STAT- MEDLINE
DCOM- 20220523
LR  - 20220523
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 29
IP  - 26
DP  - 2022 Jun
TI  - The effects of chemical mixtures on lipid profiles in the Korean adult 
      population: threshold and molecular mechanisms for dyslipidemia involved.
PG  - 39182-39208
LID - 10.1007/s11356-022-18871-2 [doi]
AB  - A scarcity of research assesses the effects of exposure to a combination of 
      chemicals on lipid profiles as well as molecular mechanisms related to 
      dyslipidemia. A cross-sectional study of 3692 adults aims to identify the 
      association between chemical mixtures, including blood and urine 26 chemicals, 
      and lipid profiles among Korean adults (aged >/= 18) using linear regression 
      models, weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), 
      and Bayesian kernel machine regression (BKMR). In silico toxicogenomic 
      data-mining, we assessed molecular mechanisms linked with dyslipidemia, including 
      genes, miRNAs, pathways, biological processes, and diseases. In the linear 
      regression models, heavy metals, volatile organic compound metabolites, and 
      phthalate metabolites were found to be related to HDL-C, triglycerides, LDL-C, 
      total lipids, and total cholesterol, and significant trends were observed for 
      these chemical quartiles (p < 0.01). The WQS index was significantly linked with 
      HDL-C, triglycerides, LDL-C, total cholesterol, and total lipids. The qgcomp 
      index also found a significant association between chemicals and HDL-C, 
      triglycerides, and total lipids. In BKMR analysis, the overall effect of the 
      chemical mixture was significantly associated with HDL-C, triglycerides, total 
      cholesterol, and total lipids. We found that mixed chemicals interacted with the 
      PPARA gene and were linked with dyslipidemia. Several pathways ("SREBF and miR33 
      in cholesterol," "estrogen receptor pathway and lipid homeostasis," and 
      "regulation of PGC-1alpha"), "negative regulation of hepatocyte apoptotic process," 
      "negative regulation of sequestering of triglycerides," "regulation of hepatocyte 
      apoptotic process," and "negative regulation of cholesterol storage," and 
      "abdominal obesity metabolic syndrome" were identified as key molecular 
      mechanisms that may be affected by mixed chemicals and implicated in the 
      development of dyslipidemia. The highest interaction and expression of miRNAs 
      involved in the process of dyslipidemia were also described. Especially, the 
      cutoff levels for chemical exposure levels related to lipid profiles were also 
      provided.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Nguyen, Hai Duc
AU  - Nguyen HD
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea.
FAU - Oh, Hojin
AU  - Oh H
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea.
FAU - Kim, Min-Sun
AU  - Kim MS
AUID- ORCID: 0000-0001-9952-0038
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea. minsun@scnu.ac.kr.
LA  - eng
GR  - grant nos. NRF2013R1A1A3008851/This work supported by grants National Research 
      Foundation of Korea (NRF) grant funded by the Korean government (MEST)/
GR  - 2018R1D1A1B07049610/This work supported by grants National Research Foundation of 
      Korea (NRF) grant funded by the Korean government (MEST)/
PT  - Journal Article
DEP - 20220131
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Cholesterol, HDL)
RN  - 0 (Cholesterol, LDL)
RN  - 0 (MicroRNAs)
RN  - 0 (Triglycerides)
SB  - IM
MH  - Adult
MH  - Bayes Theorem
MH  - Cholesterol, HDL
MH  - Cholesterol, LDL
MH  - Cross-Sectional Studies
MH  - *Dyslipidemias
MH  - Humans
MH  - *MicroRNAs
MH  - Republic of Korea
MH  - Triglycerides
OTO - NOTNLM
OT  - Chemical mixture
OT  - Dyslipidemia
OT  - Lipid profiles
OT  - Modeling
OT  - Molecular mechanism
EDAT- 2022/02/01 06:00
MHDA- 2022/05/24 06:00
CRDT- 2022/01/31 12:17
PHST- 2021/10/18 00:00 [received]
PHST- 2022/01/21 00:00 [accepted]
PHST- 2022/02/01 06:00 [pubmed]
PHST- 2022/05/24 06:00 [medline]
PHST- 2022/01/31 12:17 [entrez]
AID - 10.1007/s11356-022-18871-2 [pii]
AID - 10.1007/s11356-022-18871-2 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2022 Jun;29(26):39182-39208. doi: 
      10.1007/s11356-022-18871-2. Epub 2022 Jan 31.