PMID- 37935546
OWN - NLM
STAT- MEDLINE
DCOM- 20231109
LR  - 20231109
IS  - 1001-9391 (Print)
IS  - 1001-9391 (Linking)
VI  - 41
IP  - 10
DP  - 2023 Oct 20
TI  - [Benchmark dose estimation of polycyclic aromatic hydrocarbons exposure base on 
      Bayesian kernel machine regression].
PG  - 814-820
LID - 10.3760/cma.j.cn121094-20220907-00446 [doi]
AB  - Objective: To explore benchmark dose (BMD) estimations of polycyclic aromatic 
      hydrocarbons (PAHs) based on Bayesian kernel machine regression (BKMR) . Methods: 
      A total of 155 adult residents of a coking plant in Shanxi Province who were 
      surveyed in summer (June to August) from 2014 to 2019 were selected as the 
      research objects. Fasting elbow vein blood of the subjects was collected in the 
      morning for automatic analysis and detection of blood routine. Morning urine 
      samples were collected for automatic analysis and detection of urine routine and 
      urine creatinine detection. BKMR model combined with BMD method was used to 
      calculate the acceptable doses of PAHs exposure on red blood cell damage in 
      non-occupational population. Results: The concentration of hydroxylpolycyclic 
      aromatic hydrocarbons (OH-PAHs) in the red blood cells abnormal group (n=117) was 
      significantly higher than that in the normal group (n=38) (P<0.01). In the 
      combined effect of OH-PAHs, 2-hydrol-naphthalene contributed the most, and the 
      posterior inclusion probability (PIP) value was 0.9354. When OH-PAHs >/=P(55) 
      concentration, the joint effect on the risk of red blood cell abnormalities 
      increased as the concentration of the OH-PAHs mixture increased. When OH-PAHs 
      were at P(65) and P(75) concentrations, respectively, the risk of red blood cell 
      abnormalities in adults were 3.09 and 4.98 times that of OH-PAHs at P(50) 
      concentrations, respectively. Compared with high concentration, low concentration 
      of OH-PAHs exposure was more sensitive to red blood cell darmage. The acceptable 
      doses of 8 kinds of OH-PAHs were 1.010 mumol/mol Cr (2-hydrol-naphthalene), 0.743 
      mumol/mol Cr (1-hydrol-naphthalene), 0.901 mumol/mol Cr (2-hydroxy-fluorene) and 
      0.775 mumol/mol Cr (1-hydroxy-phenanthrene), 0.737 mumol/mol Cr (1-hydroxy-pyrene), 
      0.607 mumol/mol Cr (9-hydroxy-fluorene), 0.713 mumol/mol Cr 
      (2-hydroxy-phenanthrene) and 0.628 mumol/mol Cr (3-hydroxybenzo[a] pyrene), 
      respectively. Conclusion: OH-PAHs mixture has positive combined effect on red 
      blood cell damage in non-occupational population, and low concentration of 
      OH-PAHs exposure is more sensitive to red blood cell damage. It is recommended 
      that the exposure dose of PAHs should be controlled within 1 mumol/mol Cr.
FAU - Wang, Q Q
AU  - Wang QQ
AD  - Department of Health Statistics, School of Public Health, Shanxi Medical 
      University, Taiyuan 030001, China.
FAU - Cui, J
AU  - Cui J
AD  - Department of Health Statistics, School of Public Health, Shanxi Medical 
      University, Taiyuan 030001, China.
FAU - Zhang, C
AU  - Zhang C
AD  - Department of Radiological and Environmental Medicine, State Environmental 
      Protection Key Laboratory of Environment and Health, China Institute for 
      Radiation Protection (CIRP), Taiyuan 030006, China.
FAU - Yuan, M
AU  - Yuan M
AD  - Department of Health Statistics, School of Public Health, Shanxi Medical 
      University, Taiyuan 030001, China.
FAU - Yu, H M
AU  - Yu HM
AD  - Department of Health Statistics, School of Public Health, Shanxi Medical 
      University, Taiyuan 030001, China Shanxi Provincial Key Laboratory of Major 
      Diseases Risk Assessment, Taiyuan 030001, China Key Laboratory of Coal 
      Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry 
      of Education, Taiyuan 030001, China.
FAU - Zhou, X L
AU  - Zhou XL
AD  - Department of Radiological and Environmental Medicine, State Environmental 
      Protection Key Laboratory of Environment and Health, China Institute for 
      Radiation Protection (CIRP), Taiyuan 030006, China.
LA  - chi
GR  - 21111011101EHH (2014) SX-03/National Key-Areas Environmental and Health Special 
      Survey/
GR  - YP21020203/China Institute for Radiation Protection (CIRP) Open Fund of Radiation 
      Protection Laboratories/
PT  - English Abstract
PT  - Journal Article
PL  - China
TA  - Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
JT  - Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng 
      zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases
JID - 8410840
RN  - 0 (Polycyclic Aromatic Hydrocarbons)
RN  - 0 (Pyrenes)
RN  - 2166IN72UN (naphthalene)
RN  - 0 (Naphthalenes)
RN  - 0 (Phenanthrenes)
RN  - 0 (Fluorenes)
RN  - 0 (Biomarkers)
SB  - IM
MH  - Adult
MH  - Humans
MH  - *Polycyclic Aromatic Hydrocarbons/analysis
MH  - Benchmarking
MH  - Bayes Theorem
MH  - Environmental Monitoring/methods
MH  - Pyrenes/analysis
MH  - Naphthalenes/analysis
MH  - *Phenanthrenes/analysis
MH  - Fluorenes/analysis
MH  - Biomarkers/urine
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Benchmark dose
OT  - Joint effect
OT  - Polycyclic aromatic hydrocarbons
OT  - Red blood cell
EDAT- 2023/11/08 00:41
MHDA- 2023/11/09 06:42
CRDT- 2023/11/07 20:53
PHST- 2023/11/09 06:42 [medline]
PHST- 2023/11/08 00:41 [pubmed]
PHST- 2023/11/07 20:53 [entrez]
AID - 10.3760/cma.j.cn121094-20220907-00446 [doi]
PST - ppublish
SO  - Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2023 Oct 20;41(10):814-820. doi: 
      10.3760/cma.j.cn121094-20220907-00446.