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Li J, Shen M, Wang T, Zhang X, Gu W, Xu M, Yang T, Cui J, Xia X, Chen G, Zheng S, Yang H, Wang Y, Zhan H, Teng J, Duan H. Impact of metals exposure on lung function and serum club cell secretory protein among schoolchildren: A mixture and mediation analysis. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:136164. [PMID: 39413513 DOI: 10.1016/j.jhazmat.2024.136164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 09/21/2024] [Accepted: 10/12/2024] [Indexed: 10/18/2024]
Abstract
Particulate matter (PM) and its harmful components are significant contributors to respiratory diseases and impaired lung function, especially in children. Club cell secretory protein (CC16) is a maker of lung epithelium or club cell injuries. To date, the relationship between metals related with PM and CC16 and lung function impairment has been overlooked in children. We enrolled 603 schoolchildren exposed to different levels of PM in China. We found per doubling increase, urinary thallium, and iron was associated with a 3.42 % (95 % CI: 0.01, 6.72) and 3.09 % (95 % CI: 0.55, 5.56) decrease of serum CC16, respectively, whereas urinary cadmium was associated with a 4.74 % (95 % CI: 1.29, 8.31) increase of serum CC16. The Bayesian kernel machine regression (BKMR) model confirmed these associations and showed a potential synergistic interaction between thallium and cadmium. Urinary metal mixtures were associated with lower CC16 when they were below the 35th percentile compared with their median. Serum CC16 mediated 11.47 % (95 % CI: 0.06, 45.00) of the association between urinary thallium and FEV1/FVC decline. The inverted U-shaped association with CC16 and the mediation role of CC16 on associations with lung function provide insight into the mechanisms underlying lung injury induced by metals related with PM.
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Affiliation(s)
- Jie Li
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Meili Shen
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ting Wang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wen Gu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mengmeng Xu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tongjin Yang
- Anhui Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei, China
| | - Jie Cui
- Anhui Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei, China
| | - Xin Xia
- Anhui Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei, China
| | - Guoping Chen
- Anhui Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei, China
| | - Siyu Zheng
- Anhui Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei, China
| | - Haoying Yang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanhua Wang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haibing Zhan
- Anhui Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei, China
| | - Jingjing Teng
- Anhui Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei, China.
| | - Huawei Duan
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China; Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
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Wang N, Xiao W, Tang Q, Hu W, Wang S, Zhang Z, Huang F. Plasma nicotine and its metabolite as biomarkers of tobacco exposure and their relevance to pulmonary nodule. Biomark Med 2024; 18:1061-1073. [PMID: 39564794 PMCID: PMC11633419 DOI: 10.1080/17520363.2024.2422809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 10/25/2024] [Indexed: 11/21/2024] Open
Abstract
Aim: Explore the optimal cut-off values for plasma nicotine and its metabolites in assessing smoking status and quantify the association between individual tobacco exposure and pulmonary nodules (PNs).Materials & methods: A total of 2245 plasma samples were included for the determination of nicotine (Nic), cotinine (Cot) and trans-3'-hydroxycotinine (OHCot) concentrations. The receiver operating characteristic curve was used to determine the optimal biomarkers reflecting smoking status. Binary logistic regression, restricted cubic spline and generalized linear model were used to analyze the association of nicotine and its metabolites with PNs. Quantile g-computation was used to investigate the mixed effects between them.Results: Cot was found to be the best biomarker of self-reported active-passive smoking, with optimal thresholds of 9.06 and 1.26 ng/ml, respectively. Except for OHCot, increased concentrations of Cot, Nic, total nicotine equivalent (TNE2) and TNE3 were significantly positively associated with the risk of PNs, whereas nicotine metabolite ratio presented a negative association. The mixed effects of OHCot, Cot and Nic were associated with PNs, with an odds ratio of 1.17 and a 95% CI of 1.05-1.30.Conclusion: Nicotine and its metabolites as potential biomarkers of tobacco exposure were significantly associated with PNs.
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Affiliation(s)
- Na Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Wei Xiao
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Qian Tang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Wenlei Hu
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Sheng Wang
- The Center for Scientific Research of Anhui Medical University, Hefei, Anhui, 230032, China
| | - Zhihua Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Fen Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
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Zhang C, Xu J, Dong T, Gai X, Zhang H, Li Y. Prospective Study on the Association Between Blood Heavy Metal Levels and Pulmonary Function in University Students from a Medical College in Shandong Province, China. Int J Gen Med 2024; 17:4257-4265. [PMID: 39318790 PMCID: PMC11421449 DOI: 10.2147/ijgm.s477243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 08/18/2024] [Indexed: 09/26/2024] Open
Abstract
Background This study aimed to examine the blood concentrations of selected heavy metals, their corresponding pulmonary functions, and their interrelationship with university students. Methods This prospective study, conducted from September 2019 to September 2020, encompassed 593 university students. Participants completed self-administered questionnaires regarding demographic factors and underwent lung function testing and blood mercury analysis at two distinct intervals: an initial assessment and a follow-up examination. Pulmonary function was assessed using Forced Vital Capacity, Forced Expiratory Volume in one second, and Peak Expiratory Flow. The blood concentrations of various heavy metals were determined through inductively coupled plasma mass spectrometry. Results Notable disparities in pulmonary function emerged among university students when categorized by gender, Body Mass Index, physical activity, and seafood consumption frequency, all showing statistical significance (p<0.05). Blood levels of Pb, Mn, Co, and Ni exhibited diverse patterns and extents of correlation with pulmonary function (p<0.05 in each instance). Specifically, a positive correlation was observed with blood Pb levels, while Mn, Co, and Ni levels were inversely correlated with pulmonary function (p<0.01 for both observations). Conclusion This study uncovered significant and complex relationships between the blood concentrations of individual heavy metals and pulmonary function in university students. These findings highlight the need for further research to elucidate these associations in greater detail.
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Affiliation(s)
- Chengshuai Zhang
- Department of Neurorehabilitation, Sheng Li Oilfield Central Hospital, Dongying, People’s Republic of China
- Binzhou Medical University, Binzhou, People’s Republic of China
| | - Juan Xu
- Department of Neurorehabilitation, Sheng Li Oilfield Central Hospital, Dongying, People’s Republic of China
| | - Tingting Dong
- Department of Neurorehabilitation, Sheng Li Oilfield Central Hospital, Dongying, People’s Republic of China
| | - Xin Gai
- Department of Neurorehabilitation, Sheng Li Oilfield Central Hospital, Dongying, People’s Republic of China
| | - Hongmei Zhang
- Department of Neurorehabilitation, Sheng Li Oilfield Central Hospital, Dongying, People’s Republic of China
| | - Yuanyuan Li
- Department of Neurorehabilitation, Sheng Li Oilfield Central Hospital, Dongying, People’s Republic of China
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Otelea MR, Oancea C, Reisz D, Vaida MA, Maftei A, Popescu FG. Club Cells-A Guardian against Occupational Hazards. Biomedicines 2023; 12:78. [PMID: 38255185 PMCID: PMC10813369 DOI: 10.3390/biomedicines12010078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/11/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Club cells have a distinct role in the epithelial repair and defense mechanisms of the lung. After exposure to environmental pollutants, during chronic exposure, the secretion of club cells secretory protein (CCSP) decreases. Exposure to occupational hazards certainly has a role in a large number of interstitial lung diseases. According to the American Thoracic Society and the European Respiratory Society, around 40% of the all interstitial lung disease is attributed to occupational hazards. Some of them are very well characterized (pneumoconiosis, hypersensitivity pneumonitis), whereas others are consequences of acute exposure (e.g., paraquat) or persistent exposure (e.g., isocyanate). The category of vapors, gases, dusts, and fumes (VGDF) has been proven to produce subclinical modifications. The inflammation and altered repair process resulting from the exposure to occupational respiratory hazards create vicious loops of cooperation between epithelial cells, mesenchymal cells, innate defense mechanisms, and immune cells. The secretions of club cells modulate the communication between macrophages, epithelial cells, and fibroblasts mitigating the inflammation and/or reducing the fibrotic process. In this review, we describe the mechanisms by which club cells contribute to the development of interstitial lung diseases and the potential role for club cells as biomarkers for occupational-related fibrosis.
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Affiliation(s)
- Marina Ruxandra Otelea
- Clinical Department 5, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania;
| | - Corina Oancea
- Department of Physical Medicine and Rehabilitation, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Daniela Reisz
- Department of Neurology, “Victor Babeș” University of Medicine and Pharmacy, 300041 Timișoara, Romania;
| | - Monica Adriana Vaida
- Department of Anatomy and Embryology, “Victor Babeş” University of Medicine and Pharmacy, 300041 Timișoara, Romania;
| | - Andreea Maftei
- Doctoral School, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania;
| | - Florina Georgeta Popescu
- Department of Occupational Health, “Victor Babeş” University of Medicine and Pharmacy, 300041 Timișoara, Romania;
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Liu Y, Cheng Z, Zha B, Chen X, Gong Z, Ji L, Wei L. Risk factors of pulmonary arterial hypertension in patients with systemic lupus erythematosus: A meta-analysis. Lupus 2023; 32:1310-1319. [PMID: 37699157 DOI: 10.1177/09612033231202398] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
OBJECTIVE To determine the risk factors of pulmonary arterial hypertension (PAH) related to systemic lupus erythematosus (SLE) through systematic reviews and meta-analyses. METHODS We undertook electronic search strategies using Medline via PubMed, Embase, Web of Science, and Cochrane Library up to April 11, 2023. Study selection and data extraction were performed by 2 authors independently. We made risk of bias judgments based on the Newcastle-Ottawa Scale (NOS). Pooled risk ratios (RRs) and 95% confidence intervals (CIs) were calculated to estimate the overall effect sizes of potential risk factors for PAH in SLE patients. Univariate and multivariate meta-regression models were used to assess the independent effects of each risk factor on PAH. Sensitivity analyses were also conducted to explore potential sources of heterogeneity. RESULTS A total of 19 articles were included in this meta-analysis, and the results showed that gender (female) [RR = 1.04, 95% CI (1.02, 1.06), p = .0001], interstitial lung disease [RR = 4.36, 95% CI (2.42, 7.85), p = .0001], alopecia [RR = 1.39, 95% CI (1.06, 1.83), p = .017], Raynaud's phenomenon [RR = 1.83, 95% CI (1.41, 2.37), p = .0001], systemic hypertension [RR = 1.30, 95% CI (1.07, 1.58), p = .007], serositis [RR = 2.29, 95% CI (1.89, 2.77), p = .0001], pericardial effusion [RR = 3.33, 95% CI (2.20, 5.05), p = .0001], anti-RNP [RR = 1.86, 95% CI (1.19, 2.91), p = .006], anti-SSA [RR = 1.28, 95% CI (1.01, 1.62), p = .041], anti-SSB [RR = 1.38, 95% CI (1.19, 1.60), p = .0001], anti-U1RNP [RR = 1.58, 95% CI (1.07, 2.34), p = .023], thrombocytopenia [RR = 1.38, 95% CI (1.14, 1.68), p = .001], and current smokers [RR = 2.20, 95% CI (1.19, 4.06), p = .012] were all risk factors for PAH related to SLE. CONCLUSION PAH is a serious complication of SLE. Since prognosis of SLE patients after the occurrence of PAH is poor, routine examination should be conducted for SLE patients with PAH risk factors.
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Affiliation(s)
- Yuqi Liu
- Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Zhen Cheng
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Bowen Zha
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiaodong Chen
- Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Zhiyu Gong
- Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Lang Ji
- Central Laboratory, Beijing Luhe Clinical Institute, Capital Medical University, Beijing, China
| | - Lingling Wei
- Beijing Key Laboratory of Diabetic Prevention and Research, Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, China
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