PMID- 37467917
OWN - NLM
STAT- MEDLINE
DCOM- 20230911
LR  - 20230911
IS  - 1873-6424 (Electronic)
IS  - 0269-7491 (Linking)
VI  - 334
DP  - 2023 Oct 1
TI  - Health risks of neonicotinoids chronic exposure and its association with glucose 
      metabolism: A case-control study in rural China.
PG  - 122213
LID - S0269-7491(23)01215-0 [pii]
LID - 10.1016/j.envpol.2023.122213 [doi]
AB  - Since neonicotinoids (NNIs) are widely used around the world, they are 
      extensively distributed in the environment and frequently occurred in humans. 
      This study was conducted to assess the risk of NNIs residues in vegetables and 
      fruits in Henan province, and evaluate the associations of NNIs single and mixed 
      exposure with glucose metabolism, and further explore whether testosterone 
      mediated these relationships in Henan rural population. The data of vegetables 
      and fruits were collected from Henan Province in 2020-2021, and participants were 
      drawn from the Henan Rural Cohort study. Hazard quotient (HQ) and hazard index 
      (HI) were used to assess the risk of exposure to the individual and combined NNIs 
      through vegetables or fruits intake. Relative potency factor (RPF) method was 
      utilized to normalize each NNIs to imidacloprid (IMI(RPF)). Generalized linear 
      models were used to explore the effects of each NNIs and IMI(RPF) on glucose 
      metabolism. Weight quartile sum (WQS) regression and Bayesian kernel machine 
      regression (BKMR) model were applied to estimate the effect of NNIs mixtures on 
      glucose metabolism. Mediation analysis was employed to explore whether 
      testosterone mediated these relationships. The HQs and HI in both vegetables and 
      fruits were much lower than 1, which indicated that NNIs in vegetables and fruits 
      were not expected to cause significant adverse effects. However, plasma natural 
      logarithm nitenpyram (Ln_NIT), Ln_thiacloprid-amid (Ln_THD-A), and Ln_IMI(eq) 
      were positively associated with type 2 diabetes mellitus (T2DM) (odds ratio (OR) 
      (95% confidence interval (CI)): 1.12 (1.05, 1.19), 1.21 (1.10, 1.32), and 1.48 
      (1.22, 1.80)). Both WQS regression and BKMR models observed significantly 
      positive associations between NNIs mixture exposure and T2DM. Testosterone 
      partially mediated these associations among women (PE = 6.67%). These findings 
      suggest that human NNIs exposure may impair glucose metabolism and could 
      contribute to rising rates of T2DM, and it's necessary to regulate the use of 
      pesticides in rural areas.
CI  - Copyright (c) 2023 Elsevier Ltd. All rights reserved.
FAU - Wang, Lulu
AU  - Wang L
AD  - Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou 
      University, Zhengzhou, Henan, PR China.
FAU - Ma, Cuicui
AU  - Ma C
AD  - Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou 
      University, Zhengzhou, Henan, PR China.
FAU - Wei, Dandan
AU  - Wei D
AD  - Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou 
      University, Zhengzhou, Henan, PR China.
FAU - Wang, Mian
AU  - Wang M
AD  - Department of Occupational and Environmental Health Sciences, College of Public 
      Health, Zhengzhou University, Zhengzhou, Henan, PR China.
FAU - Xu, Qingqing
AU  - Xu Q
AD  - Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou 
      University, Zhengzhou, Henan, PR China.
FAU - Wang, Juan
AU  - Wang J
AD  - Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou 
      University, Zhengzhou, Henan, PR China.
FAU - Song, Yu
AU  - Song Y
AD  - Department of Occupational and Environmental Health Sciences, College of Public 
      Health, Zhengzhou University, Zhengzhou, Henan, PR China.
FAU - Huo, Wenqian
AU  - Huo W
AD  - Department of Occupational and Environmental Health Sciences, College of Public 
      Health, Zhengzhou University, Zhengzhou, Henan, PR China.
FAU - Jing, Tao
AU  - Jing T
AD  - School of Public Health, Tongji Medical College, Huazhong University of Science 
      and Technology, Wuhan, Hubei, PR China.
FAU - Wang, Chongjian
AU  - Wang C
AD  - Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou 
      University, Zhengzhou, Henan, PR China.
FAU - Mao, Zhenxing
AU  - Mao Z
AD  - Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou 
      University, Zhengzhou, Henan, PR China. Electronic address: maozhr@gmail.com.
LA  - eng
PT  - Journal Article
DEP - 20230717
PL  - England
TA  - Environ Pollut
JT  - Environmental pollution (Barking, Essex : 1987)
JID - 8804476
RN  - 0 (Neonicotinoids)
RN  - 3XMK78S47O (Testosterone)
RN  - IY9XDZ35W2 (Glucose)
SB  - IM
MH  - Humans
MH  - Female
MH  - *Diabetes Mellitus, Type 2
MH  - Cohort Studies
MH  - Case-Control Studies
MH  - Rural Population
MH  - Bayes Theorem
MH  - Neonicotinoids
MH  - Testosterone
MH  - Glucose
MH  - China/epidemiology
OTO - NOTNLM
OT  - A case-control study
OT  - Impaired fasting glucose
OT  - Plasma neonicotinoids
OT  - Testosterone
OT  - Type 2 diabetes mellitus
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- 2023/07/20 01:07
MHDA- 2023/09/11 06:43
CRDT- 2023/07/19 19:24
PHST- 2023/02/24 00:00 [received]
PHST- 2023/05/13 00:00 [revised]
PHST- 2023/07/14 00:00 [accepted]
PHST- 2023/09/11 06:43 [medline]
PHST- 2023/07/20 01:07 [pubmed]
PHST- 2023/07/19 19:24 [entrez]
AID - S0269-7491(23)01215-0 [pii]
AID - 10.1016/j.envpol.2023.122213 [doi]
PST - ppublish
SO  - Environ Pollut. 2023 Oct 1;334:122213. doi: 10.1016/j.envpol.2023.122213. Epub 
      2023 Jul 17.