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Wang S, Gao H, Zhang M, Chen S. High Apolipoprotein B/Apolipoprotein A1 is Associated with Vitamin D Deficiency Among Type 2 Diabetes Patients. Diabetes Metab Syndr Obes 2024; 17:2357-2369. [PMID: 38881697 PMCID: PMC11178075 DOI: 10.2147/dmso.s465391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 06/05/2024] [Indexed: 06/18/2024] Open
Abstract
Purpose To explore the relationship between vitamin D (VitD) deficiency and the apolipoprotein B/apolipoprotein A1 (apo B/A1) in type 2 diabetes mellitus (T2DM) patients. Methods This was a retrospective study that lasted 2 years and 6 months, collecting information and laboratory data from 784 patients with T2DM. Patients were divided into VitD deficiency group (n = 433) and non-VitD deficiency group (n = 351) based on VitD levels. Calculated apo B/A1 ratio, and patients were further divided into high-apo B/A1 group (n = 392) and low-apo B/A1 group (n = 392) based on the median of the apo B/A1. All data were analyzed using Prism 8.0.1 and R version 4.3.1 software. Results Apo B/A1 levels of T2DM patients combined with VitD deficiency was significantly higher than that of non-VitD deficiency patients, and the VitD levels of patients with high apo B/A1 was significantly lower than that patients with low apo B/A1 (all P<0.001). Spearman correlation analysis showed that VitD levels were negatively correlated with apo B/A1 (r=-0.238, P<0.001). Multiple linear regression analysis revealed after adjusting other factors, VitD levels were significantly negatively associated with apo B/A1 (β=-0.123, P=0.001). Binary logistic regression analysis showed apoB/A1 was an independent risk factor for VitD deficiency in T2DM patients. Restrictive cubic spline indicated a significant linear relationship between apoB/A1 and VitD deficiency (P general trend <0.0001, P nonlinear = 0.0896), after stratification of gender, the results showed that apo B/A1 was more susceptible to VitD deficiency in female patients. The receiver operating characteristic (ROC) curve analysis showed that the area under the curve, sensitivity and specificity of the apo B/A1 for VitD deficiency were 0.654, 66.3% and 59.8%, respectively. Conclusion The apo B/A1 was significantly negatively associated with VitD levels and an independent risk factor for VitD deficiency in patients with T2DM.
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Affiliation(s)
- Shuqi Wang
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China
| | - Haina Gao
- Department of Internal Medicine, The Second Hospital of Shijiazhuang, Shijiazhuang, People's Republic of China
| | - Mengmeng Zhang
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China
| | - Shuchun Chen
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China
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Wang Y, Yang S, Zhang S, Lu X, Ma W. Apolipoprotein E Gene Polymorphism Effects on Lipid Metabolism and Risk of Cerebral Infarction in Northwest Han Chinese Population. Pharmgenomics Pers Med 2023; 16:303-312. [PMID: 37051559 PMCID: PMC10083142 DOI: 10.2147/pgpm.s404663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/31/2023] [Indexed: 04/07/2023] Open
Abstract
Background The apolipoprotein E (ApoE) genetic variation may contribute to the development of Cerebral Infarction (CI). Serum lipid levels are known risk factors for CI, but the effect of the ApoE gene polymorphism on lipid metabolism remains unclear. This retrospective cohort study was designed to determine the role of ApoE genotypes in CI risk and the relationships between ApoE gene polymorphism and serum lipid levels among the population of northwest China. Patients and Methods 517 CI patients and 517 non-CI controls were enrolled in the study. Polymerase chain reaction and hybridization were utilized to determine the ApoE gene polymorphisms. Results The ε3/ε4 genotype and ε4 allele frequency were significantly higher in CI patients than in controls. When stratified by age and sex, statistically significant differences in the distribution and frequency of the ε3/ε4 genotype and ε4 allele were found between patients and controls. Compared to ε2 carriers, ε4 carriers had significantly lower ApoE levels and higher low-density lipoprotein cholesterol (LDL-C), ApoB and ApoB/ApoA-I levels in both two groups. Additionally, control participants with ε4 carriers had significantly higher levels of lipoprotein and total cholesterol (TC) levels than ε2 carriers, while CI patients with ε4 carriers had a significantly lower level of ApoA-I. After adjusting for other established risk factors, drinking, hypertension, lipoprotein, triglycerides (TG) and ε4 allele were significant independent risk factors for CI, which was shown to be associated with a nearly two-fold CI risk. Conclusion This study demonstrated that ε4 allele is independent risk factors for CI among patients in Northwest China. ApoE polymorphism was associated with CI, which was partly mediated through blood lipids and may also be mediated through non-lipid pathways. These data might be of great clinical significance in individualized preventive and therapeutic strategies.
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Affiliation(s)
- Yaqi Wang
- Department of Pharmacology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, 710061, People’s Republic of China
| | - Shuang Yang
- Department of Pharmacology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, 710061, People’s Republic of China
| | - Suya Zhang
- Department of Pharmacology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, 710061, People’s Republic of China
| | - Xiaoyu Lu
- Department of Biological Science and Bioengineering, Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, People’s Republic of China
| | - Wenbing Ma
- Department of Pharmacology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, 710061, People’s Republic of China
- Department of Biological Science and Bioengineering, Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, People’s Republic of China
- Correspondence: Wenbing Ma, Department of Pharmacology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, 710061, People’s Republic of China, Tel/Fax +86-29-85323240, Email
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Chen X, Lu X, Li W, Zhang H, Wang T. Correlation between Lpa, APO-A, APO-B, and Stenosis of Middle Cerebral Artery in Patients with Cerebral Ischemic Stroke. Emerg Med Int 2022; 2022:6403645. [PMID: 36419955 PMCID: PMC9678485 DOI: 10.1155/2022/6403645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/24/2022] [Accepted: 09/29/2022] [Indexed: 09/16/2023] Open
Abstract
Ischemic stroke (CIS) is characterized by a high incidence, disability, and mortality. Numerous studies have demonstrated that intracranial arterial stenosis is an important pathological basis of CIS, and its main cause is atherosclerosis. Dyslipidemia is an important risk factor for atherosclerosis. Lysophosphatidic acid (Lpa), apolipoprotein -A(APO-A), and apolipoprotein -B(APO-B) proved to be significantly correlated with the severity of coronary artery disease. This study retrospectively collected the case data of 186 patients with CIS treated from May 2020 to May 2022 and explored the correlation between Lpa, APO-A, APO-B, and middle cerebral artery (MCA) stenosis in CIS patients.
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Affiliation(s)
- Xinxu Chen
- Department of Neurology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, China
| | - Xuefei Lu
- Department of Anesthesiology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, China
| | - Wei Li
- Department of Neurology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, China
| | - Hongyan Zhang
- Department of Neurology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, China
| | - Tan Wang
- Department of Neurology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, China
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Alsamani R, Limin Z, Jianwei W, Dan W, Yuehong S, Ziwei L, Huiwen X, Dongzhi W, Yijun S, Lingye Q, Xingquan Z, Guojun Z. Predictive value of the apolipoprotein B/A1 ratio in intracerebral hemorrhage outcomes. J Clin Lab Anal 2022; 36:e24562. [PMID: 35692081 PMCID: PMC9279969 DOI: 10.1002/jcla.24562] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/30/2022] [Accepted: 06/05/2022] [Indexed: 11/15/2022] Open
Abstract
Background and Aims The apolipoprotein B (apoB)/apolipoprotein A1 (apoA1) ratio is a key indicator in predicting future cardiovascular outcomes. However, it is still unclear whether the ratio of apoB/apoA1 is a better predictor of the outcomes after intracerebral hemorrhage (ICH). Therefore, we aimed to assess the relationships between the ratio of apoB/apoA1 and functional outcomes, all‐cause mortality, and stroke recurrence in ICH patients. Methods Two hundred and sixteen Chinese ICH patients participated in this study from December 2018 to December 2019. Laboratory routine tests including hematology analysis, coagulation tests, and lipid levels were examined. The clinical outcomes included functional outcomes evaluated by the modified Rankin Scale score (mRS), all‐cause death, and stroke recurrence 1 year after discharge. Associations between the apoB/apoA1 ratio and the outcomes were evaluated using logistic regression analysis. Based on multivariate analysis, we constructed a nomogram. Univariate survival analysis was performed by the Kaplan–Meier method and log‐rank test. All the patients were classified into two groups by the median value of the apoB/apoA1 ratio: B1 < 0.8 and B2 ≥ 0.8. Results Of the 216 patients, 107 had an apoB/apoA1 ratio ≥ 0.8. Eighty‐five patients had poor functional outcomes (mRS ≥ 3), and 32 patients had severe functional outcomes (mRS ≥ 4). During the 1‐year follow‐up, a total of 18 patients died, and 13 patients had apoB/apoA1 ratio levels ≥0.8 during the 1‐year follow‐up period. Moreover, 16 recurrent strokes were recorded. Adjustments for age, sex, smoking, alcohol, body mass index, lipid levels, and hematoma site and volume showed that a high apoB/apoA1 ratio was significantly related to adverse functional outcomes and all‐cause mortality. The ORs for B2 versus B1 were 3.76 (95% CI: 1.37 to 10.40, p = 0.010), 22.74 (95% CI: 1.08 to 474.65, p = 0.044), and 7.23 (95% CI: 1.28 to 40.88, p = 0.025) for poor functional outcomes with mRS ≥ 3, mRS ≥ 4, and all‐cause mortality, respectively. Conclusion An increased apoB/apoA1 ratio at admission was independently related to poor functional outcome and all‐cause mortality in ICH patients at the 1‐year follow‐up.
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Affiliation(s)
- Rasha Alsamani
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Zhang Limin
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Wu Jianwei
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Wang Dan
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Sun Yuehong
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Liu Ziwei
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Xu Huiwen
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Wang Dongzhi
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Shi Yijun
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Qian Lingye
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
| | - Zhao Xingquan
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Zhang Guojun
- Department of Clinical Diagnosis Laboratory of Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- NMPA Key Laboratory for Quality Control of In Vitro DiagnosticsBeijingChina
- Beijing Engineering Research Center of Immunological Reagents Clinical ResearchBeijingChina
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Liu D, Zhang Y, Wang C, Zuo H. Association of the ApoB/ApoA-I ratio with stroke risk: Findings from the China Health and Nutrition Survey (CHNS). Nutr Metab Cardiovasc Dis 2022; 32:203-209. [PMID: 34916118 DOI: 10.1016/j.numecd.2021.09.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 08/09/2021] [Accepted: 09/21/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND AIMS Studies on associations of apolipoprotein B (ApoB), apolipoprotein A-I (ApoA-I) and the ApoB/ApoA-I ratio with stroke risk are scarce. We aimed to prospectively examine the associations of the ApoB/ApoA-I ratio and other lipid profiles with the risk of stroke using data from the China Health and Nutrition Survey (CHNS). METHODS AND RESULTS A total of 7318 participants without stroke at baseline in 2009 were included in the final analysis and followed for a median of 6.1 years. The serum lipid profiles including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), ApoA-I, and ApoB were measured at baseline. Multivariable Cox proportional hazards models were used to evaluate the associations between these parameters and stroke risk. The ApoB/ApoA-I ratio was positively associated with incident stroke, yielding adjusted hazard ratio (HR) of 1.32 (95% CI: 1.09-1.59, P = 0.004). In comparison, ratio of ApoB and ApoA-I containing lipoproteins, the non-HDL-C/HDL-C ratio, possessed relatively weaker association with incident stroke (HR: 1.24, 95% CI: 1.01-1.52, P = 0.036). Furthermore, the risk associations for the ApoB/ApoA-I and non-HDL-C/HDL-C ratios were prominent among those participants aged >51, body mass index ≤23, or female. There were no significant associations of other lipids and their ratios with the stroke risk. CONCLUSIONS Higher ApoB/ApoA-I ratio was associated with an increased risk of stroke. Our findings suggest that the ApoB/ApoA-I ratio may serve as a better risk indicator of stroke than other lipid profiles and their ratios.
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Affiliation(s)
- Dong Liu
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Ya Zhang
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Cuicui Wang
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Hui Zuo
- School of Public Health, Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.
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He ZZ, Guo PY, Xu SL, Zhou Y, Jalaludin B, Leskinen A, Knibbs LD, Heinrich J, Morawska L, Yim SHL, Bui D, Komppula M, Roponen M, Hu L, Chen G, Zeng XW, Yu Y, Yang BY, Dong G. Associations of Particulate Matter Sizes and Chemical Constituents with Blood Lipids: A Panel Study in Guangzhou, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:5065-5075. [PMID: 33764049 DOI: 10.1021/acs.est.0c06974] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Existing evidence is scarce concerning the various effects of different PM sizes and chemical constituents on blood lipids. A panel study that involved 88 healthy college students with five repeated measurements (440 blood samples in total) was performed. We measured mass concentrations of particulate matter with diameters ≤ 2.5 μm (PM2.5), ≤1.0 μm (PM1.0), and ≤0.5 μm (PM0.5) as well as number concentrations of particulate matter with diameters ≤ 0.2 μm (PN0.2) and ≤0.1 μm (PN0.1). We applied linear mixed-effect models to assess the associations between short-term exposure to different PM size fractions and PM2.5 constituents and seven lipid metrics. We found significant associations of greater concentrations of PM in different size fractions within 5 days before blood collection with lower high-density lipoprotein cholesterol (HDL-C) and apolipoprotein A (ApoA1) levels, higher apolipoprotein B (ApoB) levels, and lower ApoA1/ApoB ratios. Among the PM2.5 constituents, we observed that higher concentrations of tin and lead were significantly associated with decreased HDL-C levels, and higher concentrations of nickel were associated with higher HDL-C levels. Our results suggest that short-term exposure to PM in different sizes was deleteriously associated with blood lipids. Some constituents, especially metals, might be the major contributors to the detrimental effects.
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Affiliation(s)
- Zhi-Zhou He
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Peng-Yue Guo
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shu-Li Xu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
| | - Bin Jalaludin
- Centre for Air Quality and Health Research and Evaluation, Glebe, NSW 2037, Australia
- Population Health, South Western Sydney Local Health District, Liverpool, NSW 2170, Australia
- Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia
- School of Public Health and Community Medicine, The University of New South Wales, Kensington, NSW 2052, Australia
| | - Ari Leskinen
- Finnish Meteorological Institute, Kuopio 70211, Finland
- Department of Applied Physics, University of Eastern Finland, Kuopio 70211, Finland
| | - Luke D Knibbs
- School of Public Health, The University of Queensland, Herston, Queensland 4006, Australia
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich 80336, Germany
- Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology (QUT), GP.O. Box 2434, Brisbane, Queensland 4001, Australia
| | - Steve Hung-Lam Yim
- Department of Geography and Resource Management, Stanley Ho Big Data Decision Analytics Research Centre, Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, China
| | - Dinh Bui
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Mika Komppula
- Finnish Meteorological Institute, Kuopio 70211, Finland
| | - Marjut Roponen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, FI 70211, Finland
| | - Liwen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
| | - Bo-Yi Yang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
| | - Guanghui Dong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China
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