Bin Wang

Prof. Dr. Bin Wang

orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2021 in Environment International
Verified
Journal Article
Open access
LYLinling Yu
Linling Yu
MYMeng Yang
Meng Yang
MCMan Cheng
Man Cheng
LFLieyang Fan
Lieyang Fan
XWXing Wang
Xing Wang
Weihong ChenWeihong Chen
Weihong Chen
Phthalates have been largely used for years in varieties of products worldwide. However, research on the joint toxic effect of various phthalates exposure on the liver is lacking. We aimed to assess exposure to phthalates on liver function tests (LFTs). This analysis included data on 6046 adults (≥20 years old) who participated in a National Health and Nutrition Examination Survey (NHANES) in 2007-2016. We employed linear regression and Bayesian kernel machine regression (BKMR), to explore the associations of urinary phthalate metabolites with 8 indicators of LFTs. Di(2-ethylhexyl) phthalate (ΣDEHP) was found to be positively associated with serum alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT) and alkaline phosphatase (ALP) (all P FDR < 0.05). We found significant positive associations of ∑DEHP, mono-ethyl phthalate (MEP) and mono-(carboxyisononyl) phthalate (MCNP) with total bilirubin (TBIL) (all P FDR < 0.05). ΣDEHP, mono-n-butyl phthalate (MBP), mono-(3-carboxypropyl) phthalate (MCPP) and mono-benzyl phthalate (MBzP) were negatively associated with serum ALB (all P FDR < 0.05). The BKMR analyses showed a significantly positive overall effect on ALT, AST, ALP and TBIL levels with high concentrations of phthalate metabolites and a significantly negative overall effect on ALB and TP, when all the chemicals at low concentrations. Our results add novel evidence that exposures to phthalates might be adversely associated with the indicators of LTFs, indicating the potential toxic effect of phthalate exposures on the human liver.

25 May 2024 in Environment International
Verified
Journal Article
Open access
RLRuyi Liang
Ruyi Liang
LFLieyang Fan
Lieyang Fan
XLXuefeng Lai
Xuefeng Lai
DSDa Shi
Da Shi
HWHao Wang
Hao Wang
BWBin Wang
Bin Wang
Long-term air pollution exposure is a major health concern, yet its associations with thyroid dysfunction (hyperthyroidism and hypothyroidism) and biological aging remain unclear. We aimed to determine the association of long-term air pollution exposure with thyroid dysfunction and to investigate the potential roles of biological aging. A prospective cohort study was conducted on 432,340 participants with available data on air pollutants including particulate matter (PM2.5, PM10, and PM2.5-10), nitrogen dioxide (NO2), and nitric oxide (NO) from the UK Biobank. An air pollution score was calculated using principal component analysis to reflect joint exposure to these pollutants. Biological aging was assessed using the Klemera-Doubal method biological age and the phenotypic age algorithms. The associations of individual and joint air pollutants with thyroid dysfunction were estimated using the Cox proportional hazards regression model. The roles of biological aging were explored using interaction and mediation analyses. During a median follow-up of 12.41 years, 1,721 (0.40 %) and 9,296 (2.15 %) participants developed hyperthyroidism and hypothyroidism, respectively. All air pollutants were observed to be significantly associated with an increased risk of incident hypothyroidism, while PM2.5, PM10, and NO2 were observed to be significantly associated with an increased risk of incident hyperthyroidism. The hazard ratios (HRs) for hyperthyroidism and hypothyroidism were 1.15 (95 % confidence interval: 1.00-1.32) and 1.15 (1.08-1.22) for individuals in the highest quartile compared with those in the lowest quartile of air pollution score, respectively. Additionally, we noticed that individuals with higher pollutant levels and biologically older generally had a higher risk of incident thyroid dysfunction. Moreover, accelerated biological aging partially mediated 1.9 %-9.4 % of air pollution-associated thyroid dysfunction. Despite the possible underestimation of incident thyroid dysfunction, long-term air pollution exposure may increase the risk of incident thyroid dysfunction, particularly in biologically older participants, with biological aging potentially involved in the mechanisms.

6 August 2023 in Chemosphere
Verified
Journal Article
Closed access
WLWei Liu
Wei Liu
SCShuting Cao
Shuting Cao
DSDa Shi
Da Shi
LYLinling Yu
Linling Yu
WQWeihong Qiu
Weihong Qiu
BWBin Wang
Bin Wang

15 March 2013 in Theoretical and Applied Genetics
Verified
Journal Article
Closed access
PDF file
GZGuodong Zhang
Guodong Zhang
XWxiaopeng wang
xiaopeng wang
BWBin Wang
Bin Wang
Yanchen TianYanchen Tian
Yanchen Tian
MLMeng Li
Meng Li
ZWZeli Wang
Zeli Wang

14 July 2022 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
WLWei Liu
Wei Liu
RLRuyi Liang
Ruyi Liang
RZRixin Zhang
Rixin Zhang
BWBin Wang
Bin Wang
SCShuting Cao
Shuting Cao
Weihong ChenWeihong Chen
Weihong Chen

12 August 2024 in Eco-Environment & Health
Verified
Journal Article
Open access
LYLinling Yu
Linling Yu
WLWei Liu
Wei Liu
YZYongfang Zhang
Yongfang Zhang
QTQiyou Tan
Qiyou Tan
JSJiahao Song
Jiahao Song
Weihong ChenWeihong Chen
Weihong Chen
Styrene and ethylbenzene (S/EB) are identified as hazardous air contaminants that raise significant concerns. The association between S/EB exposure and the incidence of type 2 diabetes mellitus (T2DM), and the interaction between genes and environment, remains poorly understood. Our study consisted of 2219 Chinese adults who were part of the Wuhan-Zhuhai cohort. A follow-up assessment was conducted after six years. Exposure to S/EB was quantified by determining the concentrations of urinary biomarkers of exposure to S/EB (UBE-S/EB; urinary phenylglyoxylic acid level plus urinary mandelic acid level). Logistic regression models were constructed to investigate the relations of UBE-S/EB and genetic risk score (GRS) with T2DM prevalence and incidence. The interaction effects of UBE-S/EB and GRS on T2DM were investigated on multiplicative and additive scales. UBE-S/EB was dose-dependently and positively related to T2DM prevalence and incidence. Participants with high levels of UBE-S/EB [relative risk (RR) = 1.930, 95% confidence interval (CI): 1.157-3.309] or GRS (1.943, 1.110-3.462) demonstrated the highest risk of incident T2DM, in comparison to those with low levels of UBE-S/EB or GRS. Significant additive interaction between UBE-S/EB and GRS on T2DM incidence was discovered with relative excess risk due to interaction (95% CI) of 0.178 (0.065-0.292). The RR (95% CI) of T2DM incidence was 2.602 (1.238-6.140) for individuals with high UBE-S/EB and high GRS, compared to those with low UBE-S/EB and low GRS. This study presented the initial evidence that S/EB exposure was significantly related to increased risk of T2DM incidence, and the relationship was interactively aggravated by genetic predisposition.