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Wang SN, Shi YC, Lin S, He HF. Particulate matter 2.5 accelerates aging: Exploring cellular senescence and age-related diseases. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116920. [PMID: 39208581 DOI: 10.1016/j.ecoenv.2024.116920] [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: 04/07/2024] [Revised: 08/17/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
Exposure to Particulate matter 2.5 (PM2.5) accelerates aging, causing declines in tissue and organ function, and leading to diseases such as cardiovascular, neurodegenerative, and musculoskeletal disorders. PM2.5 is a major environmental pollutant and an exogenous pathogen in air pollution that is now recognized as an accelerator of human aging and a predisposing factor for several age-related diseases. In this paper, we seek to elucidate the mechanisms by which PM2.5 induces cellular senescence, such as genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, and mitochondrial dysfunction, and age-related diseases. Our goal is to increase awareness among researchers within the field of the toxicity of environmental pollutants and to advocate for personal and public health initiatives to curb their production and enhance population protection. Through these endeavors, we aim to promote longevity and health in older adults.
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Affiliation(s)
- Sheng-Nan Wang
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yan-Chuan Shi
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Australia
| | - Shu Lin
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia.
| | - He-Fan He
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
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Ran S, Zhang J, Tian F, Qian ZM, Wei S, Wang Y, Chen G, Zhang J, Arnold LD, McMillin SE, Lin H. Association of metabolic signatures of air pollution with MASLD: Observational and Mendelian randomization study. J Hepatol 2024:S0168-8278(24)02573-X. [PMID: 39349253 DOI: 10.1016/j.jhep.2024.09.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 08/27/2024] [Accepted: 09/17/2024] [Indexed: 10/02/2024]
Abstract
BACKGROUND & AIMS To identify metabolic signatures associated with exposure to ambient air pollution and to explore their associations with risk of metabolic dysfunction-associated steatotic liver disease (MASLD). METHODS We utilized data from the UK Biobank Cohort. Annual mean concentrations of PM2.5, PM10, NO2 and NOx were assessed for each participant using bilinear interpolation. The Elastic Net regression model was used to identify metabolites associated with four air pollutants and to construct metabolic signatures, respectively. Associations between air pollutants, metabolic signatures and MASLD were analyzed using Cox models. Mendelian randomization (MR) analysis was used to examine potential causality. Mediation analysis was employed to examine the role of metabolic signatures in the association between air pollutants and MASLD. RESULTS A total of 244,842 participants from the UK Biobank were included in this analysis. We identified 87, 65, 76, and 71 metabolites as metabolic signatures of PM2.5, PM10, NO2, and NOx, respectively. Metabolic signatures were associated with risk of MASLD, with hazard ratios (HRs) and 95% confidence intervals (95% CIs) were 1.10 (1.06, 1.14), 1.06 (1.02, 1.10), 1.24 (1.20, 1.29) and 1.14 (1.10, 1.19). The four pollutants were associated with increased risk of MASLD, with HRs (95% CIs) of 1.03 (1.01, 1.05), 1.02 (1.01, 1.04), 1.01 (1.01, 1.02) and 1.01 (1.00, 1.01). MR analysis indicated an association between PM2.5, NO2 and NOx-related metabolic signatures and MASLD. Metabolic signatures mediated the association of PM2.5, PM10, NO2 and NOx with MASLD. CONCLUSION There may be association between PM2.5, PM10, NO2 and NOx-related metabolic signatures and MASLD, and metabolic signatures mediate the increase of PM2.5, PM10, NO2 and NOx in the risk of MASLD. IMPACT AND IMPLICATIONS Air pollution is a significant public health issue and an important risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), however, the mechanism by which air pollution affects MASLD remains unclear. Our study used integrated serological metabolic data of 251 metabolites from a large-scale cohort study to demonstrate that metabolic signatures play a crucial role in the elevated risk of MASLD caused by air pollution. These results are relevant to patients and policymakers because they suggest that air pollution-related metabolic signatures are not only potentially associated with MASLD but also involved in mediating the process by which PM2.5, PM10, NO2, and NOx increase the risk of MASLD. Focusing on changes in air pollution-related metabolic signatures may offer a new perspective for preventing air pollution-induced MASLD and serve as protective measures to address this emerging public health challenge.
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Affiliation(s)
- Shanshan Ran
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jingyi Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Shengtao Wei
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuhua Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ge Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lauren D Arnold
- Department of Epidemiology and Biostatistics College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | | | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Chen Z, Zhu M, Ni W, Wu B, Liu T, Lin B, Lai L, Jing Y, Jiang L, Ouyang Z, Hu J, Zheng H, Peng W, Yu X, Fan J. Association of PM 2.5 exposure in early pregnancy and maternal liver function: A retrospective cohort study in Shenzhen, China. ENVIRONMENTAL RESEARCH 2024; 263:119934. [PMID: 39276834 DOI: 10.1016/j.envres.2024.119934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 09/02/2024] [Accepted: 09/03/2024] [Indexed: 09/17/2024]
Abstract
OBJECTIVE Studies have shown that fine particulate matter (PM2.5) has adverse effects on the liver function, but epidemiological evidence is limited, especially regarding pregnant women. This study aims to investigate the association between PM2.5 exposure in early pregnancy and maternal liver function during pregnancy. METHODS This retrospective cohort study included 13,342 pregnant participants. PM2.5 and Ozone (O3) exposure level, mean temperature, and relative humidity for each participant were assessed according to their residential address. The levels of serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and total bilirubin (TBIL) were measured during the second and third trimesters. Data on PM2.5 and O3 exposure level were sourced from Tracking Air Pollution in China (TAP), while the mean temperature and relative humidity were obtained from the ERA5 dataset. The Generalized Additive Model (GAM) was used to analyze the associations between PM2.5 exposure and maternal liver function during pregnancy, adjusting for potential confounding factors. RESULTS According to the results, each 10 μg/m3 increase in PM2.5 was associated with an increase of 3.57% (95% CI: 0.29%, 6.96%) in ALT and 4.25% (95% CI: 2.33%, 6.21%) in TBIL during the second trimester and 4.51% (95% CI: 2.59%, 6.47%) in TBIL during the third trimester, respectively. After adjusting for O3, these associations remained significant, and the effect of PM2.5 on ALT during the second trimester was further strengthened. No significant association observed between PM2.5 and AST. CONCLUSIONS PM2.5 exposure in early pregnancy is associated with increasement of maternal ALT and TBIL, suggesting that PM2.5 exposure may have an adverse effect on maternal liver function. Although this finding indicates an association between PM2.5 exposure and maternal liver function, more research is needed to confirm our findings and explore the underlying biological mechanisms.
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Affiliation(s)
- Zhijian Chen
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China; Faculty of Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Minting Zhu
- School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Weigui Ni
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China
| | - Bo Wu
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China
| | - Tao Liu
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control, Jinan University, Ministry of Education, Guangzhou 510632, China
| | - Bingyi Lin
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China
| | - Lijuan Lai
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China
| | - Yi Jing
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China
| | - Long Jiang
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China
| | - Zhongai Ouyang
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China; School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Haoqu Zheng
- Faculty of Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Wan Peng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Xi Yu
- Faculty of Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.
| | - Jingjie Fan
- Department of Preventive Healthcare, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen 518028, China.
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Kong X, Huang R, Geng R, Wu J, Li J, Wu Y, Zhao Y, You D, Yu H, Du M, Zhong Z, Li L, Ni S, Bai J. Associations of ambient air pollution and lifestyle with the risk of NAFLD: a population-based cohort study. BMC Public Health 2024; 24:2354. [PMID: 39210312 PMCID: PMC11363520 DOI: 10.1186/s12889-024-19761-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Both ambient air pollution and lifestyle factors contribute to the incidence of non-alcoholic fatty liver disease (NAFLD), but previous studies usually focused on single-factor associations. We aimed to assess the joint associations of ambient air pollution and lifestyle with the NAFLD risk and investigate whether lifestyle modifies the association of air pollution with NAFLD risk. METHODS A total of 417,025 participants from the UK Biobank were included in this study. Annual average concentrations of NO2, NOx, PM2.5, PM10, and PM2.5-10 were estimated. A composite lifestyle score was determined based on physical activity, alcohol intake, smoking status, dietary patterns, sedentary time, and sleep duration. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs), as well as the population attributable fraction (PAF). Potential additive interactions of air pollution with lifestyle were also examined by the relative excess risk due to the interaction (RERI) and the attributable proportion due to the interaction (AP). RESULTS 4752 (1.14%) incident NAFLD events were recorded. Long-term exposure to air pollutants and an unhealthy lifestyle were significantly associated with the increased risk of incident NAFLD. Lifestyle was the primary factor of incident NAFLD, with a PAF of 37.18% (95% CI: 29.67%, 44.69%). In addition, a significant additive interaction between air pollution and lifestyle for NAFLD risk was observed (RERI: 0.36, 95% CI: 0.09-0.63). CONCLUSIONS Long-term exposure to ambient air pollutants and poor lifestyle were jointly associated with a higher risk of NAFLD.
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Affiliation(s)
- Xinxin Kong
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Ruyu Huang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Rui Geng
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Jingwei Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, 19122, USA
| | - Jiong Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yaqian Wu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Dongfang You
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Hao Yu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Mulong Du
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Zihang Zhong
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Ling Li
- Department of Endocrinology, Zhong Da Hospital Southeast University, Nanjing, 210009, China.
| | - Senmiao Ni
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Jianling Bai
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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Liu Y, Li J, Xiong Y, Tan C, Li C, Cao Y, Xie W, Deng Z. Long-term exposure to PM 2.5 leads to mitochondrial damage and differential expression of associated circRNA in rat hepatocytes. Sci Rep 2024; 14:11870. [PMID: 38789588 PMCID: PMC11126672 DOI: 10.1038/s41598-024-62748-y] [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: 12/15/2023] [Accepted: 05/21/2024] [Indexed: 05/26/2024] Open
Abstract
Fine particulate matter (PM2.5) is one of the four major causes of mortality globally. The objective of this study was to investigate the mechanism underlying liver injury following exposure to PM2.5 and the involvement of circRNA in its regulation. A PM2.5 respiratory tract exposure model was established in SPF SD male rats with a dose of 20 mg/kg, and liver tissue of rats in control group and PM2.5-exposed groups rats were detected. The results of ICP-MS showed that Mn, Cu and Ni were enriched in the liver. HE staining showed significant pathological changes in liver tissues of PM2.5-exposed group, transmission electron microscopy showed significant changes in mitochondrial structure of liver cells, and further mitochondrial function detection showed that the PM2.5 exposure resulted in an increase in cell reactive oxygen species content and a decrease in mitochondrial transmembrane potential, while the expression of SOD1 and HO-1 antioxidant oxidase genes was upregulated. Through high-throughput sequencing of circRNAs, we observed a significant down-regulation of 10 and an up-regulation of 17 circRNAs in the PM2.5-exposed groups. The functional enrichment and pathway analyses indicated that the differentially expressed circRNAs by PM2.5 exposure were primarily associated with processes related to protein ubiquitination, zinc ion binding, peroxisome function, and mitochondrial regulation. These findings suggest that the mechanism underlying liver injury induced by PM2.5-exposure may be associated with mitochondrial impairment resulting from the presence of heavy metal constituents. Therefore, this study provides a novel theoretical foundation for investigating the molecular mechanisms underlying liver injury induced by PM2.5 exposure.
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Affiliation(s)
- Ying Liu
- Department of Medical Laboratory, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China
| | - Jing Li
- Department of Medical Laboratory, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China
| | - Yican Xiong
- Department of Ophthalmology and Stomatology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China
| | - Chaochao Tan
- Department of Medical Laboratory, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China
| | - Cunyan Li
- Department of Medical Laboratory, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China
| | - Youde Cao
- Department of Medical Laboratory, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China
| | - Wanying Xie
- Department of Medical Laboratory, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China
| | - Zhonghua Deng
- Department of Medical Laboratory, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410005, People's Republic of China.
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Feng C, Yang B, Wang Z, Zhang J, Fu Y, Yu B, Dong S, Ma H, Liu H, Zeng H, Reinhardt JD, Yang S. Relationship of long-term exposure to air pollutant mixture with metabolic-associated fatty liver disease and subtypes: A retrospective cohort study of the employed population of Southwest China. ENVIRONMENT INTERNATIONAL 2024; 188:108734. [PMID: 38744043 DOI: 10.1016/j.envint.2024.108734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 05/06/2024] [Accepted: 05/08/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND While evidence suggests that PM2.5 is associated with overall prevalence of Metabolic (dysfunction)-Associated Fatty Liver Disease (MAFLD), effects of comprehensive air pollutant mixture on MAFLD and its subtypes remain unclear. OBJECTIVE To investigate individual and joint effects of long-term exposure to comprehensive air pollutant mixture on MAFLD and its subtypes. METHODS Data of 27,699 participants of the Chinese Cohort of Working Adults were analyzed. MAFLD and subtypes, including overweight/obesity, lean, and diabetes MAFLD, were diagnosed according to clinical guidelines. Concentrations of NO3-, SO42-, NH4+, organic matter (OM), black carbon (BC), PM2.5, SO2, NO2, O3 and CO were estimated as a weighted average over participants' residential and work addresses for the three years preceding outcome assessment. Logistic regression and weighted quantile sum regression were used to estimate individual and joint effects of air pollutant mixture on presence of MAFLD. RESULTS Overall prevalence of MAFLD was 26.6 % with overweight/obesity, lean, and diabetes MAFLD accounting for 92.0 %, 6.4 %, and 1.6 %, respectively. Exposure to SO42-, NO3-, NH4+, BC, PM2.5, NO2, O3and CO was significantly associated with overall MAFLD, overweight/obesity MAFLD, or lean MAFLD in single pollutant models. Joint effects of air pollutant mixture were observed for overall MAFLD (OR = 1.10 [95 % CI: 1.03, 1.17]), overweight/obesity (1.09 [1.02, 1.15]), and lean MAFLD (1.63 [1.28, 2.07]). Contributions of individual air pollutants to joint effects were dominated by CO in overall and overweight/obesity MAFLD (Weights were 42.31 % and 45.87 %, respectively), while SO42- (36.34 %), SO2 (21.00 %) and BC (12.38 %) were more important in lean MAFLD. Being male, aged above 45 years and smoking increased joint effects of air pollutant mixture on overall MAFLD. CONCLUSIONS Air pollutant mixture was associated with MAFLD, particularly the lean MAFLD subtype. CO played a pivotal role in both overall and overweight/obesity MAFLD, whereas SO42- were associated with lean MAFLD.
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Affiliation(s)
- Chuanteng Feng
- Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610200, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Bo Yang
- Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu 610106, China
| | - Zihang Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Jiayi Zhang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yao Fu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610200, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Shu Dong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Hua Ma
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Hongyun Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Honglian Zeng
- Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu 610106, China
| | - Jan D Reinhardt
- Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610200, China; Department of Rehabilitation Medicine, Jiangsu Province Hospital/Nanjing Medical University First Affiliated Hospital, Nanjing 210009, China; Department of Health Sciences and Medicine, University of Lucerne, Lucerne 6002, Switzerland.
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu 610106, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan 430079, China.
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Cao R, Jiang H, Zhang Y, Guo Y, Zhang W. Causal relationship between air pollution, lung function, gastroesophageal reflux disease, and non-alcoholic fatty liver disease: univariate and multivariate Mendelian randomization study. Front Public Health 2024; 12:1368483. [PMID: 38746002 PMCID: PMC11092889 DOI: 10.3389/fpubh.2024.1368483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/08/2024] [Indexed: 05/16/2024] Open
Abstract
Background The association between air pollution, lung function, gastroesophageal reflux disease, and Non-alcoholic fatty liver disease (NAFLD) remains inconclusive. Previous studies were not convincing due to confounding factors and reverse causality. We aim to investigate the causal relationship between air pollution, lung function, gastroesophageal reflux disease, and NAFLD using Mendelian randomization analysis. Methods In this study, univariate Mendelian randomization analysis was conducted first. Subsequently, Steiger testing was performed to exclude the possibility of reverse association. Finally, significant risk factors identified from the univariate Mendelian analysis, as well as important factors affecting NAFLD from previous observational studies (type 2 diabetes and body mass index), were included in the multivariable Mendelian randomization analysis. Results The results of the univariable Mendelian randomization analysis showed a positive correlation between particulate matter 2.5, gastroesophageal reflux disease, and NAFLD. There was a negative correlation between forced expiratory volume in 1 s, forced vital capacity, and NAFLD. The multivariable Mendelian randomization analysis indicated a direct causal relationship between gastroesophageal reflux disease (OR = 1.537, p = 0.011), type 2 diabetes (OR = 1.261, p < 0.001), and NAFLD. Conclusion This Mendelian randomization study confirmed the causal relationships between air pollution, lung function, gastroesophageal reflux, and NAFLD. Furthermore, gastroesophageal reflux and type 2 diabetes were identified as independent risk factors for NAFLD, having a direct causal connection with the occurrence of NAFLD.
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Affiliation(s)
- Runmin Cao
- Jinzhou Medical University Postgraduate Training Base (Jinzhou Central Hospital), Jinzhou, Liaoning, China
| | - Honghe Jiang
- Department of Clinical Medicine, Anhui University of Science and Technology, Huainan, Anhui, China
| | - Yurun Zhang
- Rehabilitation Therapy, Shandong Xiandai University, Jinan, Shandong, China
| | - Ying Guo
- General Surgery, Jinzhou Central Hospital, Jinzhou, Liaoning, China
| | - Weibin Zhang
- Jinzhou Medical University Postgraduate Training Base (Jinzhou Central Hospital), Jinzhou, Liaoning, China
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Bo Y, Lin C, Guo C, Wong M, Huang B, Lau A, Huang Y, Lao XQ. Chronic exposure to ambient air pollution and the risk of non-alcoholic fatty liver disease: A cross-sectional study in Taiwan and Hong Kong. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 275:116245. [PMID: 38520807 DOI: 10.1016/j.ecoenv.2024.116245] [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: 11/25/2023] [Revised: 03/17/2024] [Accepted: 03/18/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Information on the relation of air pollution with non-alcoholic fatty liver disease (NAFLD) is scarce. We thus conducted a large cross-sectional study in Asia to investigate the role of air pollution in NAFLD. METHODS We recruited 329,048 adults (mean age: 41.0 years) without other liver disease (hepatitis and cirrhosis) or excessive alcohol consumption in Taiwan and Hong Kong from 2001 to 2018. The concentrations of nitrogen dioxide (NO2) and ozone (O3) were estimated using a space-time regression model, and the concentrations of fine particulate matter (PM2.5) was evaluated using a satellite-based spatio-temporal model. NAFLD was determined using either the fatty liver index (FLI) or the hepatic steatosis index (HSI). The NAFLD-related advanced fibrosis was defined according to BARD score or the fibrosis-4 (FIB-4). A logistic regression model was adopted to explore the relationships of ambient air pollution with the odds of NAFLD and NAFLD-related advanced fibrosis. RESULTS We found positive relationships between PM2.5 and the odds of NAFLD and advanced fibrosis, with every standard deviation (SD, 7.5 µg/m3) increases in PM2.5 exposure being associated with a 10% (95% confidence interval [CI]: 9%-11%) increment in the prevalence of NAFLD and an 8% (95% CI: 7%-9%) increment in the prevalence of advanced fibrosis. Similarly, the prevalence of NAFLD and advanced fibrosis increased by 8% (95% CI: 7%-9%) and 7% (95% CI: 6%-8%) with per SD (18.9 µg/m3) increasement in NO2 concentration, respectively. Additionally, for every SD (9.9 µg/m3) increasement in O3 concentration, the prevalence of NAFLD and advanced fibrosis decreased by 12% (95% CI: 11%-13%) and 11% (95% CI: 9%-12%), respectively. CONCLUSION Higher ambient PM2.5 and NO2 are linked with higher odds of NAFLD and advanced fibrosis. Our findings indicate that reducing PM2.5 and NO2 concentrations may be an effective way for preventing NAFLD. Further studies on O3 are warranted.
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Affiliation(s)
- Yacong Bo
- School of Public Health, Zhengzhou University, China
| | - Changqing Lin
- Division of Environment and Sustainability, the Hong Kong University of Science and Technology, Hong Kong, China
| | - Cui Guo
- Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China
| | - Martin Wong
- Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China
| | - Bo Huang
- Department of Geography and Resource Management, the Chinese University of Hong Kong, Hong Kong, China
| | - Alexis Lau
- Division of Environment and Sustainability, the Hong Kong University of Science and Technology, Hong Kong, China; Department of Civil and Environmental Engineering, the Hong Kong University of Science and Technology, Hong Kong, China
| | - Yu Huang
- Department of Biomedical Science, City University of Hong KongHong Kong, China
| | - Xiang Qian Lao
- Department of Biomedical Science, City University of Hong KongHong Kong, China.
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Li Y, Wu J, Tang H, Jia X, Wang J, Meng C, Wang W, Liu S, Yuan H, Cai J, Wang J, Lu Y. Long-term PM 2.5 exposure and early-onset diabetes: Does BMI link this risk? THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 913:169791. [PMID: 38176550 DOI: 10.1016/j.scitotenv.2023.169791] [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: 08/28/2023] [Revised: 12/18/2023] [Accepted: 12/28/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVE Limited studies investigated the association between high-level fine particulate matter (PM2.5) pollution and early-onset diabetes, leaving the possible metabolic mechanisms unclear. We assessed the association of cumulative PM2.5 exposure with diabetes, including early-onset, in high-pollution areas of China and explored whether metabolic factors mediated this association. METHODS 124,204 participants (≥18 years) from 121 counties in Hunan province, China, were enrolled between 2005 and 2020, with follow-up until 2021. The ground-level air pollution concentrations at each participant's residence were calculated using a high-quality dataset in China. The independent association of PM2.5 with incident diabetes and early-onset diabetes was assessed by Cox proportional hazards models. Restricted cubic splines were utilized to establish the exposure-response relationships. The role of metabolism-related mediators was estimated by mediation analysis. RESULTS During a median follow-up of 8.47 (IQR, 6.65-9.82) years, there were 3650 patients with new-onset diabetes. Each 1 μg/m3 increase in the level of cumulative PM2.5 exposure was positively related to an increased incidence of diabetes (HR 1.177, 95 % CI 1.172-1.181) among individuals in the PM2.5 > 50 μg/m3 group after adjusting for multiple variables. The relationship of the PM2.5 dose-response curve for diabetes was non-linear. Significant associations between PM2.5 exposure and early-onset diabetes risk were observed, with this risk showing an increase with the earlier age of early diabetes onset. Males, young individuals (≤45 years), and those with a lower body mass index (BMI <24 kg/m2) appeared to be more susceptible to diabetes. Moreover, change in BMI significantly mediated 31.06 % of the PM2.5-diabetes relationship. CONCLUSIONS Long-term cumulative PM2.5 exposure increased the risk of early-onset diabetes, which is partially mediated by BMI. Sustained air pollution control measures, priority protection of vulnerable individuals, and effective management of BMI should be taken to reduce the burden of diabetes.
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Affiliation(s)
- Yalan Li
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jingjing Wu
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Haibo Tang
- Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China; Department of Metabolic and Bariatric Surgery, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xinru Jia
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Wang
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Changjiang Meng
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Wang
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Shiqi Liu
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hong Yuan
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jingjing Cai
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jiangang Wang
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, China.
| | - Yao Lu
- Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China; Faculty of Life Sciences & Medicine, King's College London, 150 Stamford Street, London SE1 9NH, UK.
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