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Zhao Y, Peng Y, Wang M, Zhao Y, He Y, Zhang L, Liu J, Zheng S. Exposure to PM 2.5 and its constituents is associated with metabolic dysfunction-associated fatty liver disease: a cohort study in Northwest of China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:304. [PMID: 39002087 DOI: 10.1007/s10653-024-02071-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 06/06/2024] [Indexed: 07/15/2024]
Abstract
Accumulating animal studies have demonstrated associations between ambient air pollution (AP) and metabolic dysfunction-associated fatty liver disease (MAFLD), but relevant epidemiological evidence is limited. We evaluated the association of long-term exposure to AP with the risk of incident MAFLD in Northwest China. The average AP concentration between baseline and follow-up was used to assess individual exposure levels. Cox proportional hazard models and restricted cubic spline functions (RCS) were used to estimate the association of PM2.5 and its constituents with the risk of MAFLD and the dose-response relationship. Quantile g-computation was used to assess the joint effects of mixed exposure to air pollutants on MAFLD and the weights of the various pollutants. We observed 1516 cases of new-onset MAFLD, with an incidence of 10.89%. Increased exposure to pollutants was significantly associated with increased odds of MAFLD, with hazard ratios (HRs) of 2.93 (95% CI: 1.22, 7.00), 2.86 (1.44, 5.66), 7.55 (3.39, 16.84), 4.83 (1.89, 12.38), 3.35 (1.35, 8.34), 1.89 (1.02, 1.62) for each interquartile range increase in PM2.5, SO42-, NO3-, NH4+, OM, and BC, respectively. Stratified analyses suggested that females, frequent exercisers and never-drinkers were more susceptible to MAFLD associated with ambient PM2.5 and its constituents. Mixed exposure to SO42-, NO3-, NH4+, OM and BC was associated with an increased risk of MAFLD, and the weight of BC had the strongest effect on MAFLD. Exposure to ambient PM2.5 and its constituents increased the risk of MAFLD.
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Affiliation(s)
- Yamin Zhao
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yindi Peng
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Minzhen Wang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
| | - Yanan Zhao
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yingqian He
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Lulu Zhang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Jing Liu
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Shan Zheng
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
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Zhu Y, Wu Y, Cheng J, Liang H, Chang Q, Lin F, Li D, Zhou X, Chen X, Pan P, Liu H, Guo Y, Zhang Y. Ambient air pollution, lifestyle, and genetic predisposition on all-cause and cause-specific mortality: A prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:173120. [PMID: 38750765 DOI: 10.1016/j.scitotenv.2024.173120] [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: 01/20/2024] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND Although it is widely acknowledged that long-term exposure to ambient air pollution is closely related to the risk of mortality, there were inconsistencies in terms of cause-specific mortality and it is still unknown whether lifestyle and genetic susceptibility could modify the association. METHODS This population-based prospective cohort study involved 461,112 participants from the UK Biobank. The land-use regression model was used to estimate the concentrations of particulate matter (PM2.5, PMcoarse, PM10), and nitrogen oxides (NO2 and NOx). The association between air pollution and mortality was evaluated using Cox proportional hazard models. Furthermore, a lifestyle score incorporated with smoking status, physical activity, alcohol consumption, and diet behaviors, and polygenic risk score using 12 genetic variants, were developed to assess the modifying effect of air pollution on mortality outcomes. RESULTS During a median follow-up of 14.0 years, 33,903 deaths were recorded, including 17,083 (2835; 14,248), 6970, 2429, and 1287 deaths due to cancer (lung cancer, non-lung cancer), cardiovascular disease (CVD), respiratory and digestive disease, respectively. Each interquartile range (IQR) increase in PM2.5, NO2 and NOx was associated with 7 %, 6 % and 5 % higher risk of all-cause mortality, respectively. Specifically, for cause-specific mortality, each IQR increase in PM2.5, NO2 and NOx was also linked to mortality due to cancer (lung cancer and non-lung cancer), CVD, respiratory and digestive disease. Furthermore, additive and multiplicative interactions were identified between high ambient air pollution and unhealthy lifestyle on mortality. In addition, associations between air pollution and mortality were modified by lifestyle behaviors. CONCLUSION Long-term exposure to air pollutants increased the risk of all-cause and cause-specific mortality, which was modified by lifestyle behaviors. In addition, we also revealed a synergistically detrimental effect between air pollution and an unhealthy lifestyle, suggesting the significance of joint air pollution management and adherence to a healthy lifestyle on public health.
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Affiliation(s)
- Yiqun Zhu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Yao Wu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jun Cheng
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Huaying Liang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Qinyu Chang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Fengyu Lin
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Dianwu Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Xin Zhou
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China
| | - Xiang Chen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China
| | - Pinhua Pan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China
| | - Hong Liu
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yan Zhang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China.
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Yan Z, Qin G, Shi X, Jiang X, Cheng Z, Zhang Y, Nan N, Cao F, Qiu X, Sang N. Multilevel Screening Strategy to Identify the Hydrophobic Organic Components of Ambient PM 2.5 Associated with Hepatocellular Steatosis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:10458-10469. [PMID: 38836430 DOI: 10.1021/acs.est.3c10012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Hepatic steatosis is the first step in a series of events that drives hepatic disease and has been considerably associated with exposure to fine particulate matter (PM2.5). Although the chemical constituents of particles matter in the negative health effects, the specific components of PM2.5 that trigger hepatic steatosis remain unclear. New strategies prioritizing the identification of the key components with the highest potential to cause adverse effects among the numerous components of PM2.5 are needed. Herein, we established a high-resolution mass spectrometry (MS) data set comprising the hydrophobic organic components corresponding to 67 PM2.5 samples in total from Taiyuan and Guangzhou, two representative cities in North and South China, respectively. The lipid accumulation bioeffect profiles of the above samples were also obtained. Considerable hepatocyte lipid accumulation was observed in most PM2.5 extracts. Subsequently, 40 of 695 components were initially screened through machine learning-assisted data filtering based on an integrated bioassay with MS data. Next, nine compounds were further selected as candidates contributing to hepatocellular steatosis based on absorption, distribution, metabolism, and excretion evaluation and molecular dockingin silico. Finally, seven components were confirmed in vitro. This study provided a multilevel screening strategy for key active components in PM2.5 and provided insight into the hydrophobic PM2.5 components that induce hepatocellular steatosis.
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Affiliation(s)
- Zhipeng Yan
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Shanxi 030006, PR China
| | - Guohua Qin
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Shanxi 030006, PR China
| | - Xiaodi Shi
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, PR China
| | - Xing Jiang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, PR China
| | - Zhen Cheng
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, PR China
| | - Yaru Zhang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Shanxi 030006, PR China
| | - Nan Nan
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Shanxi 030006, PR China
| | - Fuyuan Cao
- Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Shanxi 030006, PR China
| | - Xinghua Qiu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, PR China
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Shanxi 030006, PR China
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Niu Z, Chen J, Wang H, Wang R, Peng H, Duan S, Yao S. Predictive Value of the Chinese Visceral Adiposity Index for Metabolic Dysfunction-Associated Fatty Liver Disease and Elevated Alanine Aminotransferase Levels in Nonobese Chinese Adults: A Cross-Sectional Study. J Inflamm Res 2024; 17:3893-3913. [PMID: 38915805 PMCID: PMC11194174 DOI: 10.2147/jir.s468093] [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: 05/05/2024] [Accepted: 06/08/2024] [Indexed: 06/26/2024] Open
Abstract
Purpose It is unclear how the Chinese Visceral Adiposity Index (cVAI) relates to metabolic dysfunction-associated fatty liver disease (MAFLD) and alanine aminotransferase (ALT) in nonobese individuals. In this study, we evaluated the ability of the cVAI to predict MAFLD and elevated ALT in nonobese participants. Methods This cross-sectional study recruited 541 nonobese subjects from March 2019 to January 2022 with the age range of 18-80 years. Hepatic steatosis was diagnosed by ultrasound. Participants were divided into four groups according to cVAI quartiles. To assess the associations between cVAI and MAFLD and elevated ALT, multivariate logistic regression was used. Receiver operating characteristic (ROC) curves were generated to evaluate the ability of the cVAI to predict MAFLD and elevated ALT. Results Compared to the group with the lowest cVAI, the group with the highest cVAI was positively associated with nonobese MAFLD [16.173 (4.082-64.073), P < 0.001] and elevated ALT [8.463 (2.859-25.049), P < 0.001]. The area under the ROC curve (AUC) of the cVAI was greater than that of WC, waist-to-height ratio, or BMI for predicting nonobese MAFLD in the male, female, > 38 and ≤ 38 years old subgroups (P < 0.05), respectively. In addition, the ability of the cVAI to predict MAFLD was better in females, young individuals, and individuals with a higher education level (P < 0.05). The cVAI also had good predictive ability for elevated ALT levels [0.655 (0.602-0.708)], particularly in females, young people, and highly educated participants. Furthermore, the cVAI was strongly positively correlated with the liver fibrosis score (P < 0.05) and was also a strong indicator of concomitant metabolic syndrome in nonobese MAFLD patients [AUC = 0.688 (0.612-0.763)]. Conclusion The cVAI was strongly related to nonobese MAFLD and elevated ALT. The cVAI may be a reliable and accessible predictor of nonobese MAFLD and elevated ALT.
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Affiliation(s)
- Zuohu Niu
- Department of Infections, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Jialiang Chen
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Huijing Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Rongrui Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Hongye Peng
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Shaojie Duan
- Department of Geriatrics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, People’s Republic of China
| | - Shukun Yao
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
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Hou J, Sun H, Lu B, Yue Y, Li X, Ban K, Fu M, Zhang B, Luo X. Accelerated biological aging mediated associations of ammonium, sulfate in fine particulate matter with liver cirrhosis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172638. [PMID: 38643869 DOI: 10.1016/j.scitotenv.2024.172638] [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: 01/02/2024] [Revised: 04/02/2024] [Accepted: 04/18/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND Although both air pollution and aging are related to the development of liver cirrhosis, the role of biological aging in association of the mixture of fine particulate matter (PM2.5) and its constituents with liver cirrhosis was unknown. METHODS This case-control retrospective study included 100 liver cirrhosis patients and 100 control subjects matched by age and sex. The concentrations of PM2.5 and its constituents were estimated for patients using machine-learning methods. The clinical biomarkers were used to calculate biological age using the Klemera-Doubalmethod (KDM) algorithms. Individual associations of PM2.5 and its constituents or biological age with liver cirrhosis were analyzed by generalized linear models. WQS and BKMR were applied to analyze association of mixture of PM2.5 and its constituents with liver cirrhosis. The mediation effect of biological age on associations of PM2.5 and its constituents with liver cirrhosis was further explored. RESULTS we found that each 1-unit increment in NH4+, NO3-, SO42- and biological age were related to 3.618-fold (95%CI: 1.896, 6.904), 1.880-fold (95%CI: 1.319, 2.680), 2.955-fold (95%CI: 1.656, 5.272) and 1.244-fold (95%CI: 1.093, 1.414) increased liver cirrhosis. Both WQS and BKMR models showed that the mixture of PM2.5 and its constituents was related to increased liver cirrhosis. Furthermore, the mediated proportion of biological age on associations of NH4+ and SO42- with liver cirrhosis were 14.7 % and 14.6 %, respectively. CONCLUSIONS Biological aging may partly explain the exposure to PM2.5 and its constituents in association with increased risk for liver cirrhosis, implying that delaying the aging process may be a key step for preventing PM2.5-related liver cirrhosis risk.
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Affiliation(s)
- Jian Hou
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China; Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Huizhen Sun
- Hubei Provincial Center for Disease Control and Prevention, Hubei, Wuhan, PR China
| | - Bingxin Lu
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China
| | - Yanqin Yue
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China
| | - Xianxi Li
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China
| | - Kangjia Ban
- School of Architecture, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Mengze Fu
- School of Architecture, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - Bingyong Zhang
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China.
| | - Xiaoying Luo
- Department of Gastroenterology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, PR China.
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India-Aldana S, Midya V, Betanzos-Robledo L, Yao M, Alcalá C, Andra SS, Arora M, Calafat AM, Chu J, Deierlein A, Estrada-Gutierrez G, Jagani R, Just AC, Kloog I, Landero J, Oulhote Y, Walker RW, Yelamanchili S, Baccarelli AA, Wright RO, Téllez Rojo MM, Colicino E, Cantoral A, Valvi D. Metabolism-Disrupting Chemical Mixtures during Pregnancy, Folic Acid Supplementation, and Liver Injury in Mother-Child Pairs. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.13.24308903. [PMID: 38947077 PMCID: PMC11213105 DOI: 10.1101/2024.06.13.24308903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Background and Aims Scarce knowledge about the impact of metabolism-disrupting chemicals (MDCs) on liver injury limits opportunities for intervention. We evaluated pregnancy MDC-mixture associations with liver injury and effect modification by folic acid (FA) supplementation in mother-child pairs. Methods We studied ∼200 mother-child pairs from the Mexican PROGRESS cohort, with measured 43 MDCs during pregnancy (estimated air pollutants, blood/urine metals or metalloids, urine high- and low-molecular-weight phthalate [HMWPs, LMWPs] and organophosphate-pesticide [OP] metabolites), and serum liver enzymes (ALT, AST) at ∼9 years post-parturition. We defined liver injury as elevated liver enzymes in children, and using established clinical scores for steatosis and fibrosis in mothers (i.e., AST:ALT, FLI, HSI, FIB-4). Bayesian Weighted Quantile Sum regression assessed MDC-mixture associations with liver injury outcomes. We further examined chemical-chemical interactions and effect modification by self-reported FA supplementation. Results In children, many MDC-mixtures were associated with liver injury outcomes. Per quartile HMWP-mixture increase, ALT increased by 10.1% (95%CI: 1.67%, 19.4%) and AST by 5.27% (95% CI: 0.80%, 10.1%). LMWP-mixtures and air pollutant-mixtures were associated with higher AST and ALT, respectively. Air pollutant and non-essential metal/element associations with liver enzymes were attenuated by maternal cobalt blood concentrations ( p -interactions<0.05). In mothers, only the LMWP-mixture was associated with liver injury [OR=1.53 (95%CI: 1.01, 2.28) for HSI>36, and OR=1.62 (95%CI: 1.05, 2.49) for AST:ALT<1]. In mothers and children, most associations were attenuated (null) at FA supplementation≥600mcg/day ( p -interactions<0.05). Conclusions Pregnancy MDC exposures may increase liver injury risk, particularly in children. These associations may be attenuated by higher FA supplementation and maternal cobalt levels.
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Xu J, Chen Y, Lu F, Chen L, Dong Z. The Association between Short-Term Exposure to PM 1 and Daily Hospital Admission and Related Expenditures in Beijing. TOXICS 2024; 12:393. [PMID: 38922073 PMCID: PMC11209456 DOI: 10.3390/toxics12060393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/16/2024] [Accepted: 05/18/2024] [Indexed: 06/27/2024]
Abstract
Ambient particulate matter (PM) pollution is a leading environmental health threat worldwide. PM with an aerodynamic diameter ≤ 1.0 μm, also known as PM1, has been implicated in the morbidity and mortality of several cardiorespiratory and cerebrovascular diseases. However, previous studies have mostly focused on analyzing fine PM (PM2.5) associated with disease metrics, such as emergency department visits and mortality, rather than ultrafine PM, including PM1. This study aimed to evaluate the association between short-term PM1 exposure and hospital admissions (HAs) for all-cause diseases, chronic obstructive pulmonary disease (COPD), and respiratory infections (RIs), as well as the associated expenditures, using Beijing as a case study. Here, based on air pollution and hospital admission data in Beijing from 2015 to 2017, we performed a time-series analysis and meta-analysis. It was found that a 10 μg/m3 increase in the PM1 concentration significantly increased all-cause disease HAs by 0.07% (95% Confidence Interval (CI): [0, 0.14%]) in Beijing between 2015 and 2017, while the COPD and RI-related HAs were not significantly associated with short-term PM1 exposure. Meanwhile, we estimated the attributable number of HAs and hospital expenditures related to all-cause diseases. This study revealed that an average of 6644 (95% CI: [351, 12,917]) cases of HAs were attributable to ambient PM1, which was estimated to be associated with a 106 million CNY increase in hospital expenditure annually (95% CI: [5.6, 207]), accounting for 0.32% (95% CI: [0.02, 0.62%]) of the annual total expenses. The findings reported here highlight the underlying impact of ambient PM pollution on health risks and economic burden to society and indicate the need for further policy actions on public health.
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Affiliation(s)
- Jingwen Xu
- School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King’s College London, London SE1 1UL, UK
| | - Yan Chen
- Ganzhou People’s Hospital, Ganzhou 341000, China
| | - Feng Lu
- Beijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China
| | - Lili Chen
- School of Public Health, Southeast University, Nanjing 210009, China
| | - Zhaomin Dong
- School of Materials Science and Engineering, Beihang University, Beijing 100191, China
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8
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Li C, Ni S, Zhao L, Lin H, Yang X, Zhang Q, Zhang L, Guo L, Jiang S, Tang N. Effects of PM 2.5 and high-fat diet on glucose and lipid metabolisms and role of MT-COX3 methylation in male rats. ENVIRONMENT INTERNATIONAL 2024; 188:108780. [PMID: 38821017 DOI: 10.1016/j.envint.2024.108780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/24/2024] [Accepted: 05/26/2024] [Indexed: 06/02/2024]
Abstract
Both fine particulate matter (PM2.5) and high-fat diet (HFD) can cause changes in glucose and lipid metabolisms; however, the mechanism of their combined effects on glucose and lipid metabolisms is still unclear. This study aimed to investigate the effects of PM2.5 and HFD co-exposure on glucose and lipid metabolisms and mitochondrial DNA methylation in Wistar rats. PM2.5 and HFD co-treatment led to an increase in fasting blood glucose levels, an alteration in glucose tolerance, and a decrease in high density lipoprotein cholesterol (HDL-C) levels in Wistar rats. In the homeostasis model assessment (HOMA), HOMA-insulin resistance (HOMA-IR) increased and HOMA-insulin sensitivity (HOMA-IS) and HOMA-β cell function (HOMA-β) decreased in rats co-exposed to PM2.5 and HFD. Additionally, superoxide dismutase (SOD) and malondialdehyde (MDA) levels were increased, and interleukin-6 (IL-6) and interleukin-10 (IL-10) mRNA expressions were upregulated in the brown adipose tissue following PM2.5 and HFD co-exposure. Bisulfite pyrosequencing was used to detect the methylation levels of mitochondrially-encoded genes (MT-COX1, MT-COX2 and MT-COX3), and MT-COX3 was hypermethylated in the PM2.5 and HFD co-exposure group. Moreover, MT-COX3-Pos.2 mediated 36.41 % (95 % CI: -27.42, -0.75) of the total effect of PM2.5 and HFD exposure on HOMA-β. Our study suggests that PM2.5 and HFD co-exposure led to changes in glucose and lipid metabolisms in rats, which may be related to oxidative stress and inflammatory responses, followed by mitochondrial stress leading to MT-COX3 hypermethylation. Moreover, MT-COX3-Pos.2 was found for the first time as a mediator in the impact of co-exposure to PM2.5 and HFD on β-cell function. It could serve as a potential biomarker, offering fresh insights into the prevention and treatment of metabolic diseases.
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Affiliation(s)
- Chen Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Shu Ni
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 32500, China
| | - Huishu Lin
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 32500, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Qiang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 32500, China.
| | - Shoufang Jiang
- Department of Occupational and Environmental Health, Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China.
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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Aimuzi R, Xie Z, Qu Y, Jiang Y. Air pollution, life's essential 8, and risk of severe non-alcoholic fatty liver disease among individuals with type 2 diabetes. BMC Public Health 2024; 24:1350. [PMID: 38769477 PMCID: PMC11103844 DOI: 10.1186/s12889-024-18641-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/17/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND The impacts of long-term exposure to air pollution on the risk of subsequent non-alcoholic fatty liver disease (NAFLD) among participants with type 2 diabetes (T2D) is ambiguous. The modifying role of Life's Essential 8 (LE8) remains unknown. METHODS This study included 23,129 participants with T2D at baseline from the UK Biobank. Annual means of nitrogen dioxide (NO2), nitrogen oxides (NOX), and particulate matter (PM2.5, PM2.5-10, PM10) were estimated using the land-use regression model for each participant. The associations between exposure to air pollution and the risk of severe NAFLD were evaluated using Cox proportional hazard models. The effect modification of LE8 was assessed through stratified analyses. RESULTS During a median 13.6 years of follow-up, a total of 1,123 severe NAFLD cases occurred. After fully adjusting for potential covariates, higher levels of PM2.5 (hazard ratio [HR] = 1.12, 95%CI:1.02, 1.23 per interquartile range [IQR] increment), NO2 (HR = 1.15, 95%CI:1.04, 1.27), and NOX (HR = 1.08, 95%CI:1.01, 1.17) were associated with an elevated risk of severe NAFLD. In addition, LE8 score was negatively associated with the risk of NAFLD (HR = 0.97, 95% CI: 0.97, 0.98 per point increment). Compared with those who had low air pollution and high LE8, participants with a high air pollution exposure and low LE8 had a significantly higher risk of severe NAFLD. CONCLUSIONS Our findings suggest that long-term exposure to air pollution was associated with an elevated risk of severe NAFLD among participants with T2D. A lower LE8 may increase the adverse impacts of air pollution on NAFLD.
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Affiliation(s)
- Ruxianguli Aimuzi
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Zhilan Xie
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yimin Qu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yu Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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López-Bueno JA, Padrón-Monedero A, Díaz J, Navas-Martín MA, Linares C. Short-term impact of air pollution, noise and temperature on emergency hospital admissions in Madrid (Spain) due to liver and gallbladder diseases. ENVIRONMENTAL RESEARCH 2024; 249:118439. [PMID: 38346485 DOI: 10.1016/j.envres.2024.118439] [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: 12/11/2023] [Revised: 01/24/2024] [Accepted: 02/05/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Very few epidemiological studies have explored the environmental and meteorological risk factors that influence liver diseases and gallbladder disorders, and no studies have addressed the specific case of Spain. METHODS This is a retrospective ecological study conducted during 2013-2018. We analysed emergency admissions in the central area of the Region of Madrid for the following causes: Liver and gallbladder diseases (L&GB) (ICD-10: K70-K81); disorders of gallbladder (DGB) (ICD 10: K80-K81); liver disease (LD) (ICD 10: K70-K77); alcoholic liver disease (ALD) (ICD-10: K70); viral hepatitis (VH) (ICD10:B15-B19); and hepatic failure, not elsewhere classified (HFNS) (ICD-10: K72). Independent variables used: meteorological (maximum daily temperature (Tmax in ⁰C), minimum daily temperature (Tmin in ⁰C), and relative humidity (RH in %)); chemical air pollution (8-hO3, NO2, PM10, PM2.5 in μg/m3); and noise pollution (equivalent level of daily noise (Ld in dB(A)). Transformed variables: extreme heat in degrees (Theat); wet cold (WC); and high ozone. We fitted Poisson models, negative binomials and zero-inflated Poisson controlled for seasonality, day of the week, holidays, trend, and autoregressive trend. Based on these models, the percentage of cases attributable to statistically significant risk factors was then estimated. RESULTS In L&GB emergency admissions daily noise is related to 4.4% (CI95%: 0.8 7.9) of admissions; NO2 to 2.9% (CI95%: 0.1 5.7) and wet cold to 0.2% (CI95%: 0.8 7.9). Heat wave temperature was only related to ALD. In addition, the wet cold association with L&GB is also related to HFNS attributing 1.0% (CI95%: 0.3 1.8) of admissions for this cause. CONCLUSIONS Daily noise and NO2 are associated with more than 7% of urgent L&GB admissions. Both pollutants, are mainly emitted by road traffic. A reduction of traffic in cities would result in a reduction of emergency admissions due to this cause.
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Affiliation(s)
- J A López-Bueno
- Climate Change, Health and Urban Environment Reference Unit, National School of Public Health, Carlos III Institute of Health, Madrid, Spain
| | - A Padrón-Monedero
- National School of Public Health, Carlos III Institute of Health, Madrid, Spain
| | - J Díaz
- Climate Change, Health and Urban Environment Reference Unit, National School of Public Health, Carlos III Institute of Health, Madrid, Spain.
| | - M A Navas-Martín
- Climate Change, Health and Urban Environment Reference Unit, National School of Public Health, Carlos III Institute of Health, Madrid, Spain
| | - C Linares
- Climate Change, Health and Urban Environment Reference Unit, National School of Public Health, Carlos III Institute of Health, Madrid, Spain
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11
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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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12
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Xiao Y, Hu J, Chen R, Xu Y, Pan B, Gao Y, Deng Y, Li W, Kan H, Chen S. Impact of fine particulate matter on liver injury: evidence from human, mice and cells. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133958. [PMID: 38479138 DOI: 10.1016/j.jhazmat.2024.133958] [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: 01/27/2024] [Revised: 02/29/2024] [Accepted: 03/03/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND A recently discovered risk factor for chronic liver disease is ambient fine particulate matter (PM2.5). Our research aims to elucidate the effects of PM2.5 on liver injury and the potential molecular mechanisms. METHODS AND RESULTS A population-based longitudinal study involving 102,918 participants from 15 Chinese cities, using linear mixed-effect models, found that abnormal alterations in liver function were significantly associated with long-term exposure to PM2.5. The serum levels of alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase, direct bilirubin, and triglyceride increased by 2.05%, 2.04%, 0.58%, 2.99%, and 1.46% with each 10 µg/m3 increase in PM2.5. In contrast, the serum levels of total protein, albumin, and prealbumin decreased by 0.27%, 0.48%, and 2.42%, respectively. Mice underwent chronic inhalation exposure to PM2.5 experienced hepatic inflammation, steatosis and fibrosis. In vitro experiments found that hepatocytes experienced an inflammatory response and lipid metabolic dysregulation due to PM2.5, which also activated hepatic stellate cells. The down-regulation and mis-localization of polarity protein Par3 mediated PM2.5-induced liver injury. CONCLUSIONS PM2.5 exposure induced liver injury, mainly characterized by steatosis and fibrosis. The down-regulation and mis-localization of Par3 were important mechanisms of liver injury induced by PM2.5.
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Affiliation(s)
- Yalan Xiao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Jialu Hu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yanyi Xu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Bin Pan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Ya Gao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yiran Deng
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Wenshu Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; National Center for Children's Health, Children's Hospital of Fudan University, Shanghai 201102, China.
| | - She Chen
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
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13
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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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Tovoli F, Stefanini B, Mandrioli D, Mattioli S, Vornoli A, Sgargi D, Manservisi F, Piscaglia F, Curti S, Bolondi L. Exploring occupational toxicant exposures in patients with metabolic dysfunction-associated steatotic liver disease: A prospective pilot study. Dig Liver Dis 2024; 56:571-578. [PMID: 38151451 DOI: 10.1016/j.dld.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/15/2023] [Accepted: 12/13/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) has been traditionally associated with insulin resistance and obesity. Recently, pollutants have been shown to contribute to the development of MASLD. Given the global burden of MASLD, understanding whether pollutants are merely associated with steatosis or contribute to its progression to advanced chronic liver disease (ACLD) and hepatocellular carcinoma (HCC) is critical. Workers exposed to occupational toxicants represent an ideal population for assessing the potentially hazardous consequences of professional exposure. Confirming a link between occupational exposure and ACLD/HCC may not only provide further elements in understanding MASLD, but also contribute to preventive strategies for exposed workers. OBJECTIVE This study aimed to assess the prevalence of self-reported occupational exposure to toxicants in patients with MASLD. METHODS This hospital-based prospective pilot study included 201 patients with MASLD. Data on workplace toxicant exposure were collected systematically using a structured questionnaire. Subsequently, patients with ACLD and/or HCC (n = 55) were compared to controls (n = 146). Logistic regression analysis and propensity score models were used to investigate the associations between self-reported occupational exposure and ACLD and/or HCC. RESULTS Patients with ACLD/HCC reported exposure to metals, halogenated refrigerants, pain/resins, and fuel emissions more often than the controls. After controlling for confounders, durations of 21-30 years and >30 years of occupational exposure to toxicants showed odds ratios (ORs) of 2.31 (95 % confidence interval [CI]: 1.09-4.88, p = 0.029) and 4.47 (95 % CI: 2.57-7.78, p<0.001), respectively. CONCLUSIONS In this pilot study, patients with MASLD complications were more likely to report workplace toxicant exposure. Our results warrant future multicentre confirmatory studies, as implementing prevention policies may reduce the risk of life-threatening diseases among exposed populations.
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Affiliation(s)
- Francesco Tovoli
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
| | - Bernardo Stefanini
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Daniele Mandrioli
- Cesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy
| | - Stefano Mattioli
- Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy
| | - Andrea Vornoli
- Cesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy
| | - Daria Sgargi
- Cesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy
| | - Fabiana Manservisi
- Cesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy
| | - Fabio Piscaglia
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Stefania Curti
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Luigi Bolondi
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
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Jang TY, Ho CC, Liang PC, Wu CD, Wei YJ, Tsai PC, Hsu PY, Hsieh MY, Lin YH, Hsieh MH, Wang CW, Yang JF, Yeh ML, Huang CF, Chuang WL, Huang JF, Cheng YY, Dai CY, Chen PC, Yu ML. Air pollution associate with advanced hepatic fibrosis among patients with chronic liver disease. Kaohsiung J Med Sci 2024; 40:304-314. [PMID: 37947277 DOI: 10.1002/kjm2.12781] [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: 09/09/2023] [Revised: 10/20/2023] [Accepted: 10/25/2023] [Indexed: 11/12/2023] Open
Abstract
We aimed to investigate the association between air pollution and advanced fibrosis among patients with metabolic associated fatty liver disease (MAFLD) and chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections. A total of 1376 participants who were seropositive for HBV surface antigen (HBsAg) or antibodies to HCV (anti-HCV) or had abnormal liver function in a community screening program from 2019 to 2021 were enrolled for the assessment of liver fibrosis using transient elastography. Daily estimates of air pollutants (particulate matter ≤2.5 μm in diameter [PM2.5 ], nitrogen dioxide [NO2 ], ozone [O3 ] and benzene) were aggregated into mean estimates for the previous year based on the date of enrolment. Of the 1376 participants, 767 (52.8%) and 187 (13.6) had MAFLD and advanced fibrosis, respectively. A logistic regression analysis revealed that the factors associated with advanced liver fibrosis were HCV viremia (odds ratio [OR], 3.13; 95% confidence interval [CI], 2.05-4.77; p < 0.001), smoking (OR, 1.79; 95% CI, 1.16-2.74; p = 0.01), age (OR, 1.04; 95% CI, 1.02-1.05; p < 0.001) and PM2.5 (OR, 1.10; 95% CI, 1.05-1.16; p < 0.001). Linear regression analysis revealed that LSM was independently correlated with PM2.5 (β: 0.134; 95% CI: 0.025, 0.243; p = 0.02). There was a dose-dependent relationship between different fibrotic stages and the PM2.5 level (the PM2.5 level in patients with fibrotic stages 0, 1-2 and 3-4: 27.9, 28.4, and 29.3 μg/m3 , respectively; trend p < 0.001). Exposure to PM2.5 , as well as HBV and HCV infections, is associated with advanced liver fibrosis in patients with MAFLD. There was a dose-dependent correlation between PM2.5 levels and the severity of hepatic fibrosis.
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Affiliation(s)
- Tyng-Yuan Jang
- Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University and National Health Research Institutes, Kaohsiung, Taiwan
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Pingtung Hospital, Ministry of Health and Welfare, Ping-Tung, Taiwan
| | - Chi-Chang Ho
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan
| | - Po-Cheng Liang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan
- Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Tainan, Taiwan
| | - Yu-Ju Wei
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pei-Chien Tsai
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Po-Yao Hsu
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Yen Hsieh
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Hung Lin
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Meng-Hsuan Hsieh
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Wen Wang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jeng-Fu Yang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Lun Yeh
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chung-Feng Huang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wan-Long Chuang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jee-Fu Huang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ya-Yun Cheng
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Chia-Yen Dai
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pau-Chung Chen
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan
- Department of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, Taiwan
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan
- Division of Hepato-Gastroenterology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
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Rajagopalan S, Brook RD, Salerno PRVO, Bourges-Sevenier B, Landrigan P, Nieuwenhuijsen MJ, Munzel T, Deo SV, Al-Kindi S. Air pollution exposure and cardiometabolic risk. Lancet Diabetes Endocrinol 2024; 12:196-208. [PMID: 38310921 DOI: 10.1016/s2213-8587(23)00361-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/15/2023] [Accepted: 11/23/2023] [Indexed: 02/06/2024]
Abstract
The Global Burden of Disease assessment estimates that 20% of global type 2 diabetes cases are related to chronic exposure to particulate matter (PM) with a diameter of 2·5 μm or less (PM2·5). With 99% of the global population residing in areas where air pollution levels are above current WHO air quality guidelines, and increasing concern in regard to the common drivers of air pollution and climate change, there is a compelling need to understand the connection between air pollution and cardiometabolic disease, and pathways to address this preventable risk factor. This Review provides an up to date summary of the epidemiological evidence and mechanistic underpinnings linking air pollution with cardiometabolic risk. We also outline approaches to improve awareness, and discuss personal-level, community, governmental, and policy interventions to help mitigate the growing global public health risk of air pollution exposure.
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Affiliation(s)
- Sanjay Rajagopalan
- University Hospitals, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
| | - Robert D Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, MI, USA
| | - Pedro R V O Salerno
- University Hospitals, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | | | - Philip Landrigan
- Program for Global Public Health and the Common Good, Boston College, Boston, MA, USA; Centre Scientifique de Monaco, Monaco
| | | | - Thomas Munzel
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; German Center of Cardiovascular Research, Partner-Site Rhine-Main, Germany
| | - Salil V Deo
- Louis Stokes Cleveland VA Medical Center, Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Sadeer Al-Kindi
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA
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18
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Jang TY, Ho CC, Wu CD, Dai CY, Chen PC. Air pollution as a potential risk factor for hepatocellular carcinoma in Taiwanese patients after adjusting for chronic viral hepatitis. J Chin Med Assoc 2024; 87:287-291. [PMID: 38206793 DOI: 10.1097/jcma.0000000000001053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Air pollution is a risk factor for hepatocellular carcinoma (HCC). However, the effect of air pollution on HCC risk in patients with hepatitis remains unclear. METHODS This cross-sectional study recruited 348 patients with chronic hepatitis who were tested for serum hepatitis B surface antigen (HBsAg) and for antibodies against hepatitis B core antigen (HBcIgG) and hepatitis C virus (anti-HCV) in 2022. The diagnosis of HCC was based on the International Classification of Diseases, 10th revision (ICD-10). Daily estimates of air pollutants were aggregated into mean estimates for the previous year based on the date of recruitment or HCC diagnosis. RESULTS Out of 348 patients, 12 had HCC (3.4%). Patients with HCC were older (71.7 vs 50.9 years; p = 0.004), had higher proportion of HBsAg seropositivity (41.7% vs 5.1%; p < 0.001), and substantially higher levels of particulate matter 2.5 (PM 2.5 ) (21.5 vs 18.2 μg/m 3 ; p = 0.05). Logistic regression analysis revealed that the factors associated with HCC were age (odds ratio [OR]: 1.10; CI, 1.03-1.17; p = 0.01), PM 2.5 level (OR: 1.51; CI, 1.02-2.23; p = 0.04), and HBsAg seropositivity (OR: 6.60; CI, 1.51-28.85; p = 0.01) ( Table 3 ). There was a combined effect of PM 2.5 and HBsAg seropositivity on the risk of HCC development (OR: 22.17; CI, 3.33-147.45; p = 0.001). CONCLUSION In this study, we demonstrated that PM 2.5 and HBsAg seropositivity were associated with HCC occurrence and had synergistic effects after adjusting for confounding factors.
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Affiliation(s)
- Tyng-Yuan Jang
- Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University and National Health Research Institutes, Kaohsiung, Taiwan, ROC
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC
- Department of Internal Medicine, Pingtung Hospital, Ministry of Health and Welfare, Pingtung, Taiwan, ROC
| | - Chi-Chang Ho
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan, ROC
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan, ROC
- Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Tainan, Taiwan, ROC
| | - Chia-Yen Dai
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC
| | - Pau-Chung Chen
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan, ROC
- Department of Public Health, National Taiwan University, Taipei, Taiwan, ROC
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan, ROC
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19
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Ji W, Cheng Y, Tang S, Gu K, Liao H, Li L, Wang Y, Yang BY, Zhou Y. Exposure to ambient air pollution and metabolic dysfunction-associated fatty liver disease: Findings from over 2.7 million adults in Northwestern China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 272:116109. [PMID: 38364762 DOI: 10.1016/j.ecoenv.2024.116109] [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: 11/13/2023] [Revised: 02/09/2024] [Accepted: 02/10/2024] [Indexed: 02/18/2024]
Abstract
Ambient air pollutants exposures may lead to aggravated Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD). However, there is still a scarcity of empirical studies that have rigorously estimated this association, especially in regions where air pollution is severe. To fill in the literature gap, we conducted a cross-sectional study involving 2711,207 adults living in five regions of southern Xinjiang Uyghur Autonomous Region in 2021. Using a Space-Time Extra-Trees model, we assessed the four-year (2017-2020) average concentrations of particulate matter with aerodynamic diameter ≤1 µm (PM1), particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5), particulate matter with aerodynamic diameter ≤10 µm (PM10), ozone (O3), sulfur dioxide (SO2), and carbon monoxide (CO), and then assigned these values to the participants. Generalized linear mixed models were employed to examine the relationships between air pollutants and the prevalence of MAFLD, with adjustment for multiple confounding factors. The odds ratios and 95% confidence intervals of MAFLD were 2.002 (1.826-2.195), 1.133 (1.108-1.157), 1.034 (1.027-1.040), 1.077 (1.023-1.134), 2.703 (2.322-3.146) and 1.033 (1.029-1.036) per 10 µg/m3 increase in the 4-year average PM1, PM2.5, PM10, O3, SO2 and CO exposures, respectively. The robustness of the findings was confirmed by a series of sensitivities. In summary, long-term exposure to ambient air pollutants was associated with increased odds of MAFLD, particularly in males and individuals with unhealthy lifestyles.
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Affiliation(s)
- Weidong Ji
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou , Guangdong 510080, China
| | - Yinlin Cheng
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou , Guangdong 510080, China
| | - Shengsheng Tang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou , Guangdong 510080, China
| | - Kuiying Gu
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Huipeng Liao
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Lin Li
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou , Guangdong 510080, China
| | - Yushan Wang
- Center of Health Management, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China.
| | - Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Yi Zhou
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou , Guangdong 510080, China.
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Guo M, Li M, Cui F, Ding X, Gao W, Fang X, Chen L, Wang H, Niu P, Ma J. MTBE exposure may increase the risk of insulin resistance in male gas station workers. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:334-343. [PMID: 38168809 DOI: 10.1039/d3em00491k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Insulin resistance is closely related to many metabolic diseases and has become a serious public health problem worldwide. So, it is crucial to find its environmental pathogenic factors. Methyl tert-butyl ether (MTBE), a widely used unleaded gasoline additive, has been proven to affect glycolipid metabolism. However, results from population studies are lacking. For this purpose, the potential relationships between MTBE exposure and the triglyceride glucose (TyG) index, a useful surrogate marker of insulin resistance, were evaluated using a small-scale occupational population. In this study, 201 participants including occupational and non-occupational MTBE exposure workers were recruited from the Occupational Disease Prevention and Control Hospital of Huaibei, and their health examination information and blood samples with informed consent were collected. The internal exposure levels were assessed by detecting blood MTBE using solid-phase-micro-extraction gas chromatography-mass spectrometry. Then the adjusted linear regression model was used to assess the relationship between MTBE exposure and fasting plasma glucose (FPG), or TyG index. Then, receiver-operating-characteristic (ROC) curves were performed to calculate the optimal cut-off points. Multivariable and hierarchical logistic regression models were used to analyze the impact of MTBE exposure on the risk of insulin resistance. Obvious correlations were observed between blood MTBE levels with TyG index (p = 0.016) and FPG (p = 0.001). Further analysis showed that using the mean of the TyG index (8.77) as a cutoff value had a good effect on reflecting the risk of insulin resistance. Multivariable logistic regression analysis also indicated that MTBE exposure was an independent risk factor for a high TyG index (OR = 1.088, p = 0.038), which indicated that MTBE exposure might be a new environmental pathogenic factor leading to insulin resistance, and MTBE exposure might increase the risk of insulin resistance by independently elevating the TyG index in male gas station workers.
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Affiliation(s)
- Mingxiao Guo
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Mengdi Li
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Fengtao Cui
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Xinping Ding
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Wei Gao
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Xingqiang Fang
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Li Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Hanyun Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Piye Niu
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Junxiang Ma
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
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21
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Jiang J, Wei Y, Wang Y, Wang X, Lin X, Guo T, Sun X, Li Z, Zhang Y, Wu G, Wu W, Chen S, Sun H, Zhang W, Hao Y. The impact of long-term PM 1 exposure on all-cause mortality and its interaction with BMI: A nationwide prospective cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168997. [PMID: 38040364 DOI: 10.1016/j.scitotenv.2023.168997] [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: 08/18/2023] [Revised: 11/07/2023] [Accepted: 11/28/2023] [Indexed: 12/03/2023]
Abstract
BACKGROUND China has a serious air pollution problem and a high prevalence of obesity. The interaction between the two and its impact on all-cause mortality is a public health issue of great concern. OBJECTIVES This study aimed to investigate the association between long-term exposure to particulate matter with aerodynamic diameter ≤ 1 μm (PM1) and all-cause mortality, as well as the interaction effect of body mass index (BMI) in the association. METHODS A total of 33,087 participants from 162 counties in 25 provinces in China were included, with annual average PM1 exposure being estimated based on the county address. The PM1-mortality relation was evaluated using the time-varying Cox proportional hazards models, with the dose-response relationship being fitted using the penalized splines. Besides, the potential interaction effect of BMI in the PM1-mortality relation was evaluated. RESULTS The incidence of all-cause deaths was 76.99 per 10,000 person-years over a median of 8.2 years of follow-up. After controlling for potential confounders, the PM1-mortality relation was approximately J-shaped. The full-adjustment analysis observed the hazard ratio (HR) of all-cause mortality was 1.114 [95 % confidence interval (CI): 1.017-1.220] corresponding to a 10 μg/m3 rise in PM1 concentration. Further stratified analyses suggested the adverse effects of PM1 might be more pronounced among the underweight. DISCUSSION Higher PM1 concentrations were associated with an increase in all-cause mortality. The BMI might further alter the relation, and the underweight population was the sensitive subgroup of the population that needed to be protected.
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Affiliation(s)
- Jie Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yongyue Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Xiaowen Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Xiao Lin
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Tong Guo
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Xurui Sun
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Zhiqiang Li
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Gonghua Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Shirui Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Huimin Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
| | - Yuantao Hao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
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Tang X, Liao Q, Li Q, Jiang L, Li W, Xu J, Xiong A, Wang R, Zhao J, Wang Z, Ding L, Yang L. Lusianthridin ameliorates high fat diet-induced metabolic dysfunction-associated fatty liver disease via activation of FXR signaling pathway. Eur J Pharmacol 2024; 965:176196. [PMID: 38006926 DOI: 10.1016/j.ejphar.2023.176196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/30/2023] [Accepted: 11/09/2023] [Indexed: 11/27/2023]
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a common chronic liver disease, but there are few specific medications for it. Lusianthridin, a major phenanthrene component that originates from Dendrobium Sonia, has various in vitro biological functions. In this study, we aimed to evaluate the therapeutic effects of lusianthridin on high-fat diet (HFD)-induced MAFLD as well as to examine the mechanism of its effects. We fed male mice high-fat-diet for 12 weeks to induce MAFLD and then continued to feed them, either with or without lusianthridin, for another six weeks. We found that lusianthridin decreased serum triacylglycerol, hepatic triacylglycerol, and serum low density lipoprotein cholesterol. It also reduced hepatic lipid accumulation based on the results of morphology analysis. Besides, it improved hepatic inflammation as well, including a decrease in serum alanine aminotransferase and a reduction in macrophage and neutrophil infiltration. Mechanistically, surface plasmon resonance, cell thermal shift assay and dual-luciferase report system results suggested that lusianthridin combined with farnesoid X receptor (FXR) ligand binding region and activated its transcriptional activity. Lusianthridin also decreased de no lipogenesis though inhibiting Srebp1c and downstream Scd-1, Lpin1 and Dgat2 expression in a FXR-dependent manner in oleic acid treated L02 cells. Correspondingly, lusianthridin inhibited Srebp1c and downstream lipogenesis in MAFLD liver tissues of mice at both of genetic and protein levels. Finally, the protective effects of lusianthridin on hepatic steaotosis were abolished in Fxr-/- mice. Taken together, our results suggested that lusianthridin attenuated high-fat-diet induced MAFLD via activation the FXR signaling pathway.
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Affiliation(s)
- Xiaowen Tang
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Qi Liao
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Qinqin Li
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Linshan Jiang
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Wei Li
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Jie Xu
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Aizhen Xiong
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Rufeng Wang
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Jing Zhao
- State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, 999078, China
| | - Zhengtao Wang
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Lili Ding
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Li Yang
- Shanghai Key Laboratory of Complex Prescription, and Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines and the State Administration of Traditional Chinese Medicine (SATCM) Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai R&D Center for Standardization of Traditional Chinese Medicine, Shanghai, 201203, China.
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Sun HZ, Tang H, Fang J, Dai H, Zhao H, Xu S, Xiang Q, Tian Y, Jiao Y, Luo T, Huang M, Shu J, Zang L, Liu H, Guo Y, Xu W, Bai X. A Chinese longitudinal maternity cohort study (2013-2021) on intrahepatic cholestasis phenotypes: Risk associations from environmental exposure to adverse pregnancy outcomes. JOURNAL OF HAZARDOUS MATERIALS 2024; 463:132915. [PMID: 37951168 DOI: 10.1016/j.jhazmat.2023.132915] [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: 08/17/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/13/2023]
Abstract
Intrahepatic cholestasis of pregnancy (ICP) is an idiopathic disease that occurs during mid-to-late pregnancy and is associated with various adverse pregnancy outcomes, including intrauterine fetal demise. However, since the underlying cause of ICP remains unclear, there is an ongoing debate on the phenotyping criteria used in the diagnostic process. Here, we identified single- and multi-symptomatic ICP (ICP-S and ICP-M) in 104,221 Chinese females from the ZEBRA maternity cohort, with the objective of exploring the risk implications of the two phenotypes on pregnancy outcomes and from environmental exposures. We employed multivariate binary logistic regression to estimate confounder-adjusted odds ratios and found that ICP-M was more strongly associated with preterm birth and low birth weight compared to ICP-S. Throughout pregnancy, incremental exposure to PM2.5, O3, and greenness could alter ICP risks by 17.3%, 12.5%, and -2.3%, respectively, with more substantial associations observed with ICP-M than with ICP-S. The major scientific advancements lie in the elucidation of synergistic risk interactions between pollutants and the protective antagonistic effects of greenness, as well as highlighting the risk impact of preconceptional environmental exposures. Our study, conducted in the context of the "three-child policy" in China, provides epidemiological evidence for policy-making to safeguard maternal and neonatal health.
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Affiliation(s)
- Haitong Zhe Sun
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore; Centre for Sustainable Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore; Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK; Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, UK.
| | - Haiyang Tang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Jing Fang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China; Lanxi People's Hospital, Jinhua, Zhejiang 321102, PR China
| | - Haizhen Dai
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Huan Zhao
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China; Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang 322000, PR China
| | - Siyuan Xu
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Qingyi Xiang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Yijia Tian
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Yurong Jiao
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Ting Luo
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Meishuang Huang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Jia Shu
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Lu Zang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Hengyi Liu
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, School of Public Health, Peking University Health Science Centre, Beijing 100191, PR China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Wei Xu
- Maternal and Child Health Division, Health Commission of Zhejiang Province, Hangzhou, Zhejiang 310006, PR China
| | - Xiaoxia Bai
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China; Traditional Chinese Medicine for Reproductive Health Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, PR China; Zhejiang Provincial Clinical Research Centre for Obstetrics and Gynecology, Hangzhou, Zhejiang 310006, PR China; Key Laboratory of Women's Reproductive Health, Hangzhou, Zhejiang 310006, PR China.
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24
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Hou T, Zhu L, Wang Y, Peng L. Oxidative stress is the pivot for PM2.5-induced lung injury. Food Chem Toxicol 2024; 184:114362. [PMID: 38101601 DOI: 10.1016/j.fct.2023.114362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/20/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023]
Abstract
Fine particulate matter (PM2.5) is a primary air pollutant recognized worldwide as a serious threat to public health. PM2.5, which has a diameter of less than 2.5 μm, is known to cause various diseases, including cardiovascular, respiratory, metabolic, and neurological diseases. Studies have shown that the respiratory system is particularly susceptible to PM2.5 as it is the first line of defense against external pollutants. PM2.5 can cause oxidative stress, which is triggered by the catalyzation of biochemical reactions, the activation of oxidases and metabolic enzymes, and mitochondrial dysfunction, all of which can lead to lung injury and aggravate various respiratory diseases including chronic obstructive pulmonary disease (COPD), asthma, pulmonary fibrosis, and cancer. Oxidative stress plays a crucial role in the harmful effects and mechanisms of PM2.5 on the respiratory system by activating several detrimental pathways related to inflammation and cellular damage. However, experimental studies have shown that antioxidative therapy methods can effectively cure PM2.5-induced lung injury. This review aims to clarify how PM2.5 induces oxidative stress and the mechanisms by which it is involved in the aggravation of various lung diseases. Additionally, we have listed antioxidant treatments to protect against PM2.5-induced lung injury.
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Affiliation(s)
- Tianhua Hou
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130001, China
| | - Laiyu Zhu
- Institute of Translational Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130001, China
| | - Yusheng Wang
- Department of Otolaryngology Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin, 130001, China.
| | - Liping Peng
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130001, China.
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25
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Guo T, Chen S, Wang Y, Zhang Y, Du Z, Wu W, Chen S, Ju X, Li Z, Jing Q, Hao Y, Zhang W. Potential causal links of long-term air pollution with lung cancer incidence: From the perspectives of mortality and hospital admission in a large cohort study in southern China. Int J Cancer 2024; 154:251-260. [PMID: 37611179 DOI: 10.1002/ijc.34699] [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: 04/10/2023] [Revised: 07/16/2023] [Accepted: 07/20/2023] [Indexed: 08/25/2023]
Abstract
Evidence on the potential causal links of long-term air pollution exposure with lung cancer incidence (reflected by mortality and hospital admission) was limited, especially based on large cohorts. We examined the relationship between lung cancer and long-term exposure to particulate matter (PM, including PM2.5 , PM10 and PM10-2.5 ) and nitrogen dioxide (NO2 ) among a large cohort of general Chinese adults using causal inference approaches. The study included 575 592 participants who were followed up for an average of 8.2 years. The yearly exposure of PM and NO2 was estimated through satellite-based random forest approaches and the ordinary kriging method, respectively. Marginal structural Cox models were used to examine hazard ratios (HRs) of mortality and hospital admission due to lung cancer following air pollution exposure, adjusting for potential confounders. The HRs of mortality due to lung cancer were 1.042 (95% confidence interval [CI]: 1.033-1.052), 1.032 (95% CI:1.024-1.041) and 1.052 (95% CI:1.041-1.063) for each 1 μg/m3 increase in PM2.5 , PM10 and NO2 , respectively. In addition, we observed statistically significant effects of PMs on hospital admission due to lung cancer. The HRs (95%CI) were 1.110 (1.027-1.201), 1.067 (1.020-1.115) and 1.079 (1.010-1.153) for every 1 μg/m3 increase in PM2.5 , PM10 , PM10-2.5 , respectively. Furthermore, we found larger effect estimates among the elderly and those who exercised more frequently. We provided the most comprehensive evidence of the potential causal links between two outcomes of lung cancer and long-term air pollution exposure. Relevant policies should be developed, with special attention to protecting the vulnerable groups of the population.
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Affiliation(s)
- Tong Guo
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shirui Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhicheng Du
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shimin Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xu Ju
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhiqiang Li
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qinlong Jing
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
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26
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Zeng Q, Zhou J, Meng Q, Qian W, Wang Z, Yang L, Wang Z, Yang T, Liu L, Qin Z, Zhao X, Kan H, Hong F. Environmental inequalities and multimorbidity: Insights from the Southwest China Multi-Ethnic Cohort Study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:167744. [PMID: 37863237 DOI: 10.1016/j.scitotenv.2023.167744] [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: 08/15/2023] [Revised: 09/24/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023]
Abstract
Multimorbidity is an increasingly significant public health challenge worldwide. Although the association between environmental factors and the morbidity and mortality of individual chronic diseases is well-established, the relationship between environmental inequalities and multimorbidity, as well as the patterns of multimorbidity across different areas and ethnic groups, remains unclear. We first focus on analyzing the differences in environmental exposures and patterns of multimorbidity across diverse areas and ethnic groups. The results show that individuals of Han ethnicity residing in Chongqing and Sichuan are exposure to higher levels of air pollutants such as PM2.5, PM10, and NO2. Conversely, Tibetans in Tibet and Yi people in Yunnan face elevated concentrations of O3. Furthermore, the Dong, Miao, Buyi ethnicities in Guizhou and Bai in Yunnan have greater access to green spaces. The key multimorbidity patterns observed in Southwest China are related to metabolic abnormalities combined with digestive system diseases. However, significant differences in multimorbidity patterns exist among different regions and ethnic groups. Further utilizing the logistic regression model, the analysis demonstrates that increased exposure to environmental pollutants (PM2.5, PM10, NO2, O3) is significantly associated with higher odds ratios of multimorbidity. Conversely, a greater presence of green spaces (NDVI 250, NDVI 500, NDVI 1000) significantly reduces the risk of multimorbidity. This large-scale epidemiological study provides some evidence of a significant association between environmental inequalities and multimorbidity. By addressing these environmental inequalities and promoting healthy environments for all, we can work towards reducing the prevalence of multimorbidity and improving overall population health.
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Affiliation(s)
- Qibing Zeng
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Provincial Ecological Food Creation Engineering Research Center & School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Jingbo Zhou
- Lab of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Qiong Meng
- School of Public Health, Kunming Medical University, Kunming, 650500, China
| | - Wen Qian
- Chengdu Center for Disease Control and Prevention, Chengdu, 610044, China
| | - Zihao Wang
- Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - La Yang
- High Altitude Health Science Research Center of Tibet University, Lhasa, 850013, China
| | - Ziyun Wang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Provincial Ecological Food Creation Engineering Research Center & School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Tingting Yang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Provincial Ecological Food Creation Engineering Research Center & School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Leilei Liu
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Provincial Ecological Food Creation Engineering Research Center & School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Zixiu Qin
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Provincial Ecological Food Creation Engineering Research Center & School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
| | - Feng Hong
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Provincial Ecological Food Creation Engineering Research Center & School of Public Health, Guizhou Medical University, Guiyang, 550025, China.
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27
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Liu S, Liu L, Ye X, Fu M, Wang W, Zi Y, Zeng X, Yu K. Ambient ozone and ovarian reserve in Chinese women of reproductive age: Identifying susceptible exposure windows. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132579. [PMID: 37738852 DOI: 10.1016/j.jhazmat.2023.132579] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 09/10/2023] [Accepted: 09/17/2023] [Indexed: 09/24/2023]
Abstract
Little is known about the association of ambient ozone with ovarian reserve. Based on a retrospective cohort study of 6008 women who attended a fertility center in Hubei, China, during 2018-2021, we estimated ozone exposure levels by calculating averages during the development of follicles (2-month [W1], 4-month [W2], 6-month [W3]) and 1-year before measurement (W4) according to Tracking Air Pollution in China database. We used multivariate logistic regression and linear regression models to investigate association of ozone exposure with anti-müllerian hormone (AMH), the preferred indicator of ovarian reserve. Each 10 μg/m3 increases in ozone were associated with 2.34% (0.68%, 3.97%), 2.08% (0.10%, 4.01%), 4.20% (1.67%, 6.67%), and 8.91% (5.79%, 11.93%) decreased AMH levels during W1-W4; AMH levels decreased by 15.85%, 11.90%, 16.92% in the fourth quartile during W1, W3, and W4 when comparing the extreme quartile, with significant exposure-response relationships during W4 (P < 0.05). Ozone exposure during W1 was positively associated with low AMH. Additionally, we detected significant effect modification by age, body mass index, and temperature in ozone-associated decreased AMH levels. Our findings highlight the potential adverse impact of ozone pollution on female ovarian reserve, especially during the secondary to small antral follicle stage and 1-year before measurement.
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Affiliation(s)
- Shuangyan Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lin Liu
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Xin Ye
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mingjian Fu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yunhua Zi
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xinliu Zeng
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| | - Kuai Yu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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28
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Rollin FG, Washington C, Fluker SA. Using race as a social construct when looking at differences in racial associations between non-alcoholic fatty liver disease and type 2 diabetes. Diabetologia 2024; 67:211-212. [PMID: 37676480 DOI: 10.1007/s00125-023-05998-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 07/25/2023] [Indexed: 09/08/2023]
Affiliation(s)
- Francois G Rollin
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
| | - Colin Washington
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Shelly-Ann Fluker
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
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29
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Cheng WC, Wong PY, Wu CD, Cheng PN, Lee PC, Li CY. Non-linear association between long-term air pollution exposure and risk of metabolic dysfunction-associated steatotic liver disease. Environ Health Prev Med 2024; 29:7. [PMID: 38346730 PMCID: PMC10898959 DOI: 10.1265/ehpm.23-00271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/08/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) has become a global epidemic, and air pollution has been identified as a potential risk factor. This study aims to investigate the non-linear relationship between ambient air pollution and MASLD prevalence. METHOD In this cross-sectional study, participants undergoing health checkups were assessed for three-year average air pollution exposure. MASLD diagnosis required hepatic steatosis with at least 1 out of 5 cardiometabolic criteria. A stepwise approach combining data visualization and regression modeling was used to determine the most appropriate link function between each of the six air pollutants and MASLD. A covariate-adjusted six-pollutant model was constructed accordingly. RESULTS A total of 131,592 participants were included, with 40.6% met the criteria of MASLD. "Threshold link function," "interaction link function," and "restricted cubic spline (RCS) link functions" best-fitted associations between MASLD and PM2.5, PM10/CO, and O3 /SO2/NO2, respectively. In the six-pollutant model, significant positive associations were observed when pollutant concentrations were over: 34.64 µg/m3 for PM2.5, 57.93 µg/m3 for PM10, 56 µg/m3 for O3, below 643.6 µg/m3 for CO, and within 33 and 48 µg/m3 for NO2. The six-pollutant model using these best-fitted link functions demonstrated superior model fitting compared to exposure-categorized model or linear link function model assuming proportionality of odds. CONCLUSION Non-linear associations were found between air pollutants and MASLD prevalence. PM2.5, PM10, O3, CO, and NO2 exhibited positive associations with MASLD in specific concentration ranges, highlighting the need to consider non-linear relationships in assessing the impact of air pollution on MASLD.
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Affiliation(s)
- Wei-Chun Cheng
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Internal Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Gastroenterology and Hepatology, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan
| | - Pei-Yi Wong
- Department of Environmental and Occupational Health, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
- Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung, Taiwan
| | - Pin-Nan Cheng
- Department of Internal Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Pei-Chen Lee
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
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30
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Zhou Q, Li X, Zhang J, Duan Z, Mao S, Wei J, Han S, Niu Z. Long-term exposure to PM 1 is associated with increased prevalence of metabolic diseases: evidence from a nationwide study in 123 Chinese cities. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:549-563. [PMID: 38015390 DOI: 10.1007/s11356-023-31098-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
Exposure to particulate matter (PM) has been linked to metabolic diseases. However, the effects of PM with an aerodynamic diameter ≤ 1.0 µm (PM1) on metabolic diseases remain unclear. This study is aimed at assessing the associations of PM1 with metabolic disease risk and quantifying the concentration-response (C-R) relationship of PM1 with metabolic disease risk. A national cross-sectional study was conducted, including 12,495 middle-aged and older adults in 123 Chinese cities. The two-year average concentration of PM1 was evaluated using satellite-based spatiotemporal models. Metabolic diseases, including abdominal obesity, diabetes, hypertension, dyslipidemia, and metabolic syndrome, were identified based on physical examination, blood standard biochemistry examination, and self-reported disease histories. Generalized linear models and C-R curves were used to evaluate the associations of PM1 with metabolic diseases. A total of 12,495 participants were included in this study, with a prevalence of 45.73% for abdominal obesity, 20.22% for diabetes, 42.46% for hypertension, 41.01% for dyslipidemia, and 33.78% for metabolic syndrome. The mean ± standard deviation age of participants was 58.79 ± 13.14 years. In addition to dyslipidemia, exposure to PM1 was associated with increased risks of abdominal obesity, diabetes, hypertension, and metabolic syndrome. Each 10 μg/m3 increase in PM1 concentrations was associated with 39% (odds ratio (OR) = 1.39, 95% confidence interval (CI) 1.33, 1.46) increase in abdominal obesity, 18% (OR = 1.18, 95%CI 1.12, 1.25) increase in diabetes, 11% (OR = 1.11, 95%CI 1.06, 1.16) increase in hypertension, and 25% (OR = 1.25, 95%CI 1.19, 1.31) in metabolic syndrome, respectively. C-R curves showed that the OR values of abdominal obesity, diabetes, hypertension, and metabolic syndrome were increased gradually with the increase of PM1 concentrations. Subgroup analysis indicated that exposure to PM1 was associated with increased metabolic disease risks among participants with different lifestyles and found that solid fuel users were more susceptible to PM1 than clean fuel users. This national cross-sectional study indicated that exposure to higher PM1 might increase abdominal obesity, diabetes, hypertension, and metabolic syndrome risk, and solid fuel use might accelerate the adverse effects of PM1 on metabolic syndrome risk. Further longitudinal cohort studies are warranted to establish a causal inference between PM1 exposure and metabolic disease risk.
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Affiliation(s)
- Qin Zhou
- Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, No. 98 XiWu Road, Xi'an, 710004, Shaanxi, China
| | - Xianfeng Li
- Department of Reproductive Service Technology, Urumqi Maternal and Child Health Hospital, No. 344 Jiefang South Road, Tianshan District, Urumqi, 830000, China
| | - Jinglong Zhang
- Department of Cardiovascular Surgery, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, 152 Aiguo Road, Nanchang, Jiangxi, China
| | - Shuyuan Mao
- The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Road, Zhengzhou, 450000, Henan, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Shichao Han
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Zhiping Niu
- Department of Environmental Health, School of Public Health, Fudan University, 196 Xietu Road, Shanghai, 200032, China.
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31
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Dehghan H, Ghasempour A, Sabeti Akbar-Abad M, Khademi Z, Sedighi M, Jamialahmadi T, Sahebkar A. An update on the therapeutic role of RNAi in NAFLD/NASH. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2023; 204:45-67. [PMID: 38458743 DOI: 10.1016/bs.pmbts.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
Unhealthy lifestyles have given rise to a growing epidemic of metabolic liver diseases, including nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH). NAFLD often occurs as a consequence of obesity, and currently, there is no FDA-approved drug for its treatment. However, therapeutic oligonucleotides, such as RNA interference (RNAi), represent a promising class of pharmacotherapy that can target previously untreatable conditions. The potential significance of RNAi in maintaining physiological homeostasis, understanding pathogenesis, and improving metabolic liver diseases, including NAFLD, is discussed in this article. We explore why NAFLD/NASH is an ideal target for therapeutic oligonucleotides and provide insights into the delivery platforms of RNAi and its therapeutic role in addressing NAFLD/NASH.
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Affiliation(s)
- Hamideh Dehghan
- Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran
| | - Alireza Ghasempour
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran; Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahboobeh Sabeti Akbar-Abad
- Department of Clinical Biochemistry, Faculty of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Zahra Khademi
- Pharmaceutical Biotechnology Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Mahsa Sedighi
- Department of Pharmaceutics and Nanotechnology, School of Pharmacy, Birjand University of Medical Sciences, Birjand, Iran; Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Tannaz Jamialahmadi
- Medical Toxicology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirhossein Sahebkar
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
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Pardo M, Li C, Jabali A, Petrick LM, Ben-Ari Z, Rudich Y. Toxicity mechanisms of biomass burning aerosols in in vitro hepatic steatosis models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:166988. [PMID: 37704129 DOI: 10.1016/j.scitotenv.2023.166988] [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: 07/05/2023] [Revised: 09/06/2023] [Accepted: 09/09/2023] [Indexed: 09/15/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a common chronic liver disease that contributes to the global rise in liver-related morbidity and mortality. Wood tar (WT) aerosols are a significant fraction of carbonaceous aerosol originating from biomass smoldering, contributing to air pollution particles smaller than 2.5 mm (PM2.5). Mechanistic biological associations exist between exposure to PM2.5 and increased NAFLD phenotypes in both cell and animal models. Therefore, this study examines whether an existing NAFLD-like condition can enhance the biological susceptibility of liver cells exposed to air pollution in the form of WT material. Liver cells were incubated with lauric or oleic acid (LA, OA, respectively) for 24 h to accumulate lipids and served as an in vitro hepatic steatosis model. When exposed to 0.02 or 0.2 g/L water-soluble WT aerosols, both steatosis model cells showed increased cell death compared to the control cells (blank-treated cells with or without pre-incubation with LA or OA) or compared to WT-treated cells without pre-incubation with LA or OA. Furthermore, alterations in oxidative status included variations in reactive oxygen species (ROS) levels, elevated levels of lipid peroxidation adducts, and decreased expression of antioxidant genes associated with the NRF2 transcription factor. In addition, steatosis model cells exposed to WT had a higher degree of DNA damage than the control cells (blank-treated cells with or without pre-incubation with LA or OA). These results support a possible systemic effect through the direct inflammatory and oxidative stress response following exposure to water-soluble WT on liver cells, especially those predisposed to fatty liver. Furthermore, the liver steatosis model can be influenced by the type of fatty acid used; increased adverse effects of WT on metabolic dysregulation were observed in the LA model to a higher extent compared to the OA model.
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Affiliation(s)
- Michal Pardo
- Department of Earth and Planetary Sciences, Faculty of Chemistry, Weizmann Institute of Science, Rehovot, Israel.
| | - Chunlin Li
- Department of Earth and Planetary Sciences, Faculty of Chemistry, Weizmann Institute of Science, Rehovot, Israel.
| | - Amani Jabali
- Department of Earth and Planetary Sciences, Faculty of Chemistry, Weizmann Institute of Science, Rehovot, Israel.
| | - Lauren M Petrick
- The Bert Strassburger Metabolic Center, Sheba Medical Center, Tel Hashomer, Israel; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Ziv Ben-Ari
- Liver Disease Center, Sheba Medical Center, Tel Hashomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Yinon Rudich
- Department of Earth and Planetary Sciences, Faculty of Chemistry, Weizmann Institute of Science, Rehovot, Israel.
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Han X, Guo B, Wang L, Chen K, Zhou H, Huang S, Xu H, Pan X, Chen J, Gao X, Wang Z, Yang L, Laba C, Meng Q, Guo Y, Chen G, Hong F, Zhao X. The mediation role of blood lipids on the path from air pollution exposure to MAFLD: A longitudinal cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166347. [PMID: 37591384 DOI: 10.1016/j.scitotenv.2023.166347] [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: 06/06/2023] [Revised: 08/12/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023]
Abstract
BACKGROUND & AIMS Recent cross-sectional studies found that exposure to ambient air pollution (AP) was associated with an increased risk of metabolic dysfunction-associated fatty liver disease (MAFLD). The alternation of blood lipids may explain the association, but epidemiological evidence is lacking. We aimed to examine whether and to what extent the association between long-term exposure to AP and incident MAFLD is mediated by blood lipids and dyslipidemia in a prospective cohort. METHODS We included 6350 participants from the China Multi-Ethnic Cohort (CMEC, baseline 2018-2019, follow-up 2020-2021). Three-year average (2016-2018) of AP (PM1, PM2.5, PM10, NO2), blood lipids (TC, LDL-C, HDL-C, TG with their combinations) and incident MAFLD for each individual were assessed chronologically. Linear and logistic regression was used to assess the associations among AP, blood lipids, and MAFLD, and the potential mediation effects of blood lipids were evaluated using causal mediation analysis. RESULTS A total of 744 participants were newly diagnosed with MAFLD at follow-up. The odds ratios of MAFLD associated with a 10 μm increase in PM1, PM2.5, and NO2 were 1.35 (95 % CI: 1.14, 1.58), 1.34 (1.10, 1.65) and 1.28 (1.14, 1.44), respectively. Blood lipids are important mediators between AP and incident MAFLD. LDL-C (Proportion Mediated: 6.9 %), non-HDL (13.4 %), HDL-C (20.7 %), LDL/HDL (30.1 %), and dyslipidemia (6.5 %) significantly mediated the association between PM2.5 and MAFLD. For PM1, the indirect effects were similar to those for PM2.5, with a larger value for the direct effect, and the mediation proportion by blood lipids was less for NO2. CONCLUSION Blood lipids are important mediators between AP and MAFLD, and can explain 5 %-30 % of the association between AP and incident MAFLD, particularly cholesterol-related variables, indicating that AP could lead to MAFLD through the alternation of blood lipids. These findings provided mechanical evidence of AP leading to MAFLD in epidemiological studies.
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Affiliation(s)
- Xinyu Han
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lele Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kejun Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hanwen Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shourui Huang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huan Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China; Institute for Disaster Management and Reconstruction, Sichuan University-The Hongkong Polytechnic University, Chengdu, Sichuan, China
| | - Xianmou Pan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinyao Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xufang Gao
- Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Zhenghong Wang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - La Yang
- Tibet University, Lhasa, Tibet, China
| | - Ciren Laba
- Tibet Center for Disease Control and Prevention CN, Lhasa, Tibet, China
| | - Qiong Meng
- Department of Epidemiology and Health Statistics, School of public Health, Kunming Medical University, Kunming, Yunnan, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Feng Hong
- School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
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Liu S, Zhao J, Ye X, Fu M, Zhang K, Wang H, Zou Y, Yu K. Fine particulate matter and its constituent on ovarian reserve: Identifying susceptible windows of exposure. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166744. [PMID: 37659528 DOI: 10.1016/j.scitotenv.2023.166744] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 08/12/2023] [Accepted: 08/30/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Little is known about the associations of exposure to fine particulate matter (PM2.5) and its constituents with ovarian reserve, and the potential susceptible window of exposure remains unclear. METHODS We performed a retrospective cohort study of 5189 women who attended a fertility center in Hubei, China, during 2019-2022, and estimated concentrations of PM2.5 and its major constituents during the development of follicles (4th-6th month [W1], 0-4th month [W2], 0-6th month [W3]) and 1-year before measurement (W4) based on Tracking Air Pollution in China database. We used multivariable linear regression and logistic regression models to examine the associations of PM2.5 and its constituent exposures with anti-Müllerian hormone (AMH), the preferred indicator of ovarian reserve. RESULTS We observed significantly decreased AMH levels associated with increasing PM2.5 concentrations, with the percent changes (95 % confidence intervals [CIs]) of 1.99 % (0.24 %-3.71 %) during W1 and 3.99 % (0.74 %-7.15 %) during W4 for per 10 μg/m3 increases in PM2.5.When PM2.5 exposure levels were equal to 50th percentile (32.6-42.3 μg/m3) or more, monotonically decreased AMH levels and increased risks of low AMH were seen with increasing PM2.5 concentrations during W1 and W4 (P < 0.05). Black carbon (BC), ammonium (NH4+), nitrate (NO3-), and organic matter (OM) during W1, and NH4+, NO3-, as well as sulfate (SO42-) during W4 were significantly associated with decreased AMH. Moreover, PM2.5 and SO42- exposures during W4 were positively associated with low AMH. Additionally, the associations were stronger among women aged <35 years, lived in urban regions, or measured AMH in cold-season (P for interaction <0.05). CONCLUSION PM2.5 and specific chemical components (particularly NH4+, NO3-, and SO42-) exposure during the secondary to antral follicle stage and 1-year before measurement were associated with diminished ovarian reserve (DOR), indicating the adverse impact of PM2.5 and its constituent exposures on female reproductive potential.
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Affiliation(s)
- Shuangyan Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jing Zhao
- Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Xin Ye
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mingjian Fu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kexin Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Han Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yujie Zou
- Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Kuai Yu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Fu Y, Yu B, Yang B, Pan J, Feng C, Jia P, Zeng H, Yang S. Association between chronotype and metabolic-associated fatty liver disease in employed adults: A longitudinal study in Southwestern China. Chronobiol Int 2023; 40:1557-1565. [PMID: 38012067 DOI: 10.1080/07420528.2023.2285316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
The circadian system is an essential physiological regulator of mammals, and sleep chronotype may be associated with the risk of metabolic disorders. However, evidence regarding the role of sleep chronotype in the development of metabolic-associated fatty liver disease (MAFLD) is scarce, particularly in employed adults. We conducted a longitudinal study of 1,309 employed adults in Southwestern China with a five-year follow-up from 2017 to 2021. MAFLD was assessed by the presence of hepatic steatosis using abdominal ultrasonography, overweight/obese status, diabetes mellitus, metabolic dysregulation, or elevation of high-sensitivity C-reactive protein. Chronotype was assessed by the Morning and Evening Questionnaire-5 (MEQ-5). The logistic random effects model was applied to analyze the 5-year panel data to estimate the association between chronotype and MAFLD, and the potential effect modification of demographics on such association. The MAFLD prevalence of participants was 38.6% at baseline and showed an increasing trend during follow-up (p for trends < 0.05). Compared with morning chronotype, evening chronotype was positively associated with MAFLD (OR = 2.19, 95%CI: [1.09, 4.40]) after controlled for covariates. Age, sex, ethnicity, and educational level did not modify the association between chronotype and MAFLD. These findings suggest that improving circadian rhythms could reduce the risk of MAFLD and chronic disease burden among employed adults.
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Affiliation(s)
- Yao Fu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China
| | - Bo Yang
- Department of Clinical Medical College, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Jia Pan
- Department of Clinical Medical College, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Chuanteng Feng
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China
| | - Peng Jia
- School of Public Health, Wuhan University, Wuhan, China
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Honglian Zeng
- Department of Clinical Medical College, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Clinical Medical College, Affiliated Hospital of Chengdu University, Chengdu, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
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Guo B, Huang S, Li S, Han X, Lin H, Li Y, Qin Z, Jiang X, Wang Z, Pan Y, Zhang J, Yin J, Zhao X. Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD. JHEP Rep 2023; 5:100912. [PMID: 37954486 PMCID: PMC10632732 DOI: 10.1016/j.jhepr.2023.100912] [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: 02/13/2023] [Revised: 08/14/2023] [Accepted: 08/31/2023] [Indexed: 11/14/2023] Open
Abstract
Background & Aims Existing evidence suggests that long-term exposure to ambient fine particulate pollution (PM2.5) may increase metabolic dysfunction-associated fatty liver disease (MAFLD) risk. However, there is still limited evidence on the association of PM2.5 constituents with MAFLD. Therefore, this study explores the associations between the five main chemical constituents of PM2.5 and MAFLD to provide more explicit information on the liver exposome. Methods A total of 76,727 participants derived from the China Multi-Ethnic Cohort, a large-scale epidemic survey in southwest China, were included in this study. Multiple linear regression models were used to estimate the pollutant-specific association with MAFLD. Weighted quantile sum regression was used to evaluate the joint effect of the pollutant-mixture on MAFLD and identify which constituents contribute most to it. Results Three-year exposure to PM2.5 constituents was associated with a higher MAFLD risk and more severe liver fibrosis. Odds ratios for MAFLD were 1.480, 1.426, 1.294, 1.561, 1.618, and 1.368 per standard deviation increase in PM2.5, black carbon, organic matter, ammonium, sulfate, and nitrate, respectively. Joint exposure to the five major chemical constituents was also positively associated with MAFLD (odds ratio 1.490, 95% CI 1.360-1.632). Nitrate contributed most to the joint effect of the pollutant-mixture. Further stratified analyses indicate that males, current smokers, and individuals with a high-fat diet might be more susceptible to ambient PM2.5 exposure than others. Conclusions Long-term exposure to PM2.5 and its five major chemical constituents may increase the risk of MAFLD. Nitrate might contribute most to MAFLD, which may provide new clues for liver health. Males, current smokers, and participants with high-fat diets were more susceptible to these associations. Impact and implications This large-scale epidemiologic study explored the associations between constituents of fine particulate pollution (PM2.5) and metabolic dysfunction-associated fatty liver disease (MAFLD), and further revealed which constituents play a more important role in increasing the risk of MAFLD. In contrast to previous studies that examined the effects of PM2.5 as a whole substance, this study carefully explored the health effects of the individual constituents of PM2.5. These findings could (1) help researchers to identify the specific particles responsible for hepatotoxicity, and (2) indicate possible directions for policymakers to efficiently control ambient air pollution, such as targeting the sources of nitrate pollution.
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Affiliation(s)
- Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shourui Huang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Sicheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xinyu Han
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, China
| | - Zixiu Qin
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Xiaoman Jiang
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Zihao Wang
- Chongqing Municipal Center for Disease Control and Prevention, China
| | | | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jianzhong Yin
- School of Public Health, Kunming Medical University, Kunming, Yunnan, China
- Baoshan College of Traditional Chinese Medicine, Baoshan, Yunnan, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - China Multi-Ethnic Cohort (CMEC) collaborative group
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Tibet Center for Disease Control and Prevention, Lhasa, China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
- Chengdu Center for Disease Control and Prevention, Chengdu, China
- Chongqing Municipal Center for Disease Control and Prevention, China
- Tibet University, Lhasa, China
- School of Public Health, Kunming Medical University, Kunming, Yunnan, China
- Baoshan College of Traditional Chinese Medicine, Baoshan, Yunnan, China
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Gan X, Zhang Y, He P, Ye Z, Zhou C, Liu M, Yang S, Zhang Y, Qin X. Positive association between ambient air pollutants and incident kidney stones. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:124067-124077. [PMID: 37996579 DOI: 10.1007/s11356-023-31136-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
We aimed to assess the association between exposure to various air pollutants, individually or jointly, and incident kidney stones, and examine whether genetic susceptibility for kidney stones may modify this association. 453,977 participants without prior kidney stones from the UK Biobank were included. Annual mean concentrations of PM2.5, PM2.5-10, PM10, NO2, and NOx were estimated with a land use regression model. A weighted air pollution score was constructed that incorporates the five pollutants mentioned above. A genetic risk score (GRS) was calculated based on 20 single-nucleotide polymorphisms associated with kidney stones. The primary outcome was incident kidney stones. During a median follow-up of 11.9 years, 5,375 kidney stones were recorded. The adjusted HRs (95%CI) of incident kidney stones were 1.04 (1.01-1.07), 1.02 (1.00-1.05), 1.03 (1.01-1.06), 1.05 (1.02-1.08), and 1.04 (1.01-1.07), for per standard deviation (SD) increment in PM2.5 (SD:1.06 μg/m3), PM2.5-10 (SD:0.90 μg/m3), PM10 (SD:1.90 μg/m3), NO2 (SD:7.63 μg/m3), and NOx (SD: 15.63 μg/m3), respectively. Moreover, there was a significantly linear association between the air pollution score and incident kidney stones (per SD increment: HR, 1.05, 95%CI: 1.02-1.08), especially in those without diabetes (vs. participants with diabetes; P-interaction = 0.037). In addition, the association between air pollution and kidney stones was statistically significant only in participants within intermediate-high kidney stone GRS, but not in those with low GRS kidney stone, though the interaction was not significant (P-interaction = 0.385). In conclusion, exposure to air pollution was associated with a higher risk of incident kidney stones, calling for the need to improve air quality.
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Affiliation(s)
- Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China.
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Li K, Yin J, Qin Z, Ma B, He R, Zhuoma D, Wang Z, Liu Q, Zhao X. Age at menarche and metabolic dysfunction-associated fatty liver disease: Evidence from a large population-based epidemiological study in Southwest China. Prev Med 2023; 177:107776. [PMID: 37951543 DOI: 10.1016/j.ypmed.2023.107776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/29/2023] [Accepted: 11/08/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND The relationship between age at menarche and metabolic dysfunction-associated fatty liver disease remains largely not clear. The objective of this study was to examine the association between age at menarche (AAM) and metabolic dysfunction-associated fatty liver disease (MAFLD) in Chinese women and whether any observed associations were mediated by early adulthood adiposity. METHODS The cross-sectional study included 46,873 Chinese women, aged 30-79 from baseline data of the China Multi-Ethnic Cohort study. Logistic regression models were used to evaluate the association between AAM and MAFLD. Mediation analysis was adopted to examine whether early adulthood adiposity (around 25 years) mediated the association between AAM and MAFLD. RESULTS AAM was linearly and inversely associated with the risk of MAFLD (P for nonlinearity =0.743). In a multivariable-adjusted model, the odds ratios and 95% confidence interval (ORs (95% CI)) for MAFLD comparing menarche at <12, 12, 13, 15, 16, 17, ≥18 years to menarche at 14 years were 1.290 (1.082-1.537), 1.172 (1.068-1.285), 1.042 (0.960-1.131), 0.937 (0.861-1.020), 0.911(0.835-0.994), 0.868 (0.786-0.959), and 0.738 (0.670-0.814), respectively (P for trend <0.001). The 6.4% increased MAFLD risk was associated with each preceding year in AAM. The association between AAM and MAFLD was modified by age, ethnicity, and menopause. Early adulthood adiposity partially mediated this association. CONCLUSION The findings of this study suggest that obesity prevention strategies are needed from young adulthood in women who undergo early menarche to reduce the risk of MAFLD.
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Affiliation(s)
- Kehan Li
- Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jianzhong Yin
- Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming, Yunan, China; Baoshan College of Traditional Chinese Medicine, Baoshan, Yunan, China
| | - Zixiu Qin
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, China
| | - Bangjing Ma
- Qingbaijiang District Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Ruifeng He
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet, China
| | - Duoji Zhuoma
- School of Medicine, Tibet University, Lhasa, Tibet, China
| | - Zihao Wang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Qiaolan Liu
- Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Xing Zhao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
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Younossi ZM, Zelber-Sagi S, Henry L, Gerber LH. Lifestyle interventions in nonalcoholic fatty liver disease. Nat Rev Gastroenterol Hepatol 2023; 20:708-722. [PMID: 37402873 DOI: 10.1038/s41575-023-00800-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/26/2023] [Indexed: 07/06/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a dynamic chronic liver disease that develops in close association with metabolic irregularities. Between 2016 and 2019, the global prevalence among adults was reported as 38% and among children and adolescents it was about 10%. NAFLD can be progressive and is associated with increased mortality from cardiovascular disease, extrahepatic cancers and liver complications. Despite these numerous adverse outcomes, no pharmacological treatments currently exist to treat nonalcoholic steatohepatitis, the progressive form of NAFLD. Therefore, the main treatment is the pursuit of a healthy lifestyle for both children and adults, which includes a diet rich in fruits, nuts, seeds, whole grains, fish and chicken and avoiding overconsumption of ultra-processed food, red meat, sugar-sweetened beverages and foods cooked at high heat. Physical activity at a level where one can talk but not sing is also recommended, including leisure-time activities and structured exercise. Avoidance of smoking and alcohol is also recommended. Policy-makers, community and school leaders need to work together to make their environments healthy by developing walkable and safe spaces with food stores stocked with culturally appropriate and healthy food items at affordable prices as well as providing age-appropriate and safe play areas in both schools and neighbourhoods.
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Affiliation(s)
- Zobair M Younossi
- Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA, USA.
- Center for Liver Disease, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, VA, USA.
- Inova Medicine, Inova Health System, Falls Church, VA, USA.
| | | | - Linda Henry
- Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA, USA
- Inova Medicine, Inova Health System, Falls Church, VA, USA
| | - Lynn H Gerber
- Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA, USA
- Inova Medicine, Inova Health System, Falls Church, VA, USA
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Dales R, Mitchell K, Lukina A, Brook J, Karthikeyan S, Cakmak S. Does ambient air pollution influence biochemical markers of liver injury? Findings of a cross-sectional population-based survey. CHEMOSPHERE 2023; 340:139859. [PMID: 37619749 DOI: 10.1016/j.chemosphere.2023.139859] [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: 05/10/2023] [Revised: 07/25/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND There is limited evidence supporting an adverse effect of ambient air pollution on the liver. OBJECTIVES To test the association between exposure to residential air pollution and serum biochemical indicators of liver injury. METHODS We used a nationally representative sample of 32,989 participants aged 3-79 years old who participated in the Canadian Health Measures Survey between 2007 and 2019. Cross-sectional associations were assessed by generalized linear mixed models incorporating survey-specific sampling weights. RESULTS The joint effect of an interquartile range (IQR) increase in nitrogen dioxide (NO2), ozone (O3) and fine particulate matter (PM2.5) was positively and significantly associated with all measures of liver injury adjusting for age, sex, education, income, smoking, alcohol consumption, body mass index (BMI), total cholesterol, diabetes, hypertension, and physical activity. The ranking of effect sizes from largest to smallest percent increases were 8.72% (95% confidence interval [CI] 7.56, 9.88) for alanine aminotransferase (ALT), 5.54% (95%CI 3.31, 7.77) for gamma-glutamyl transferase (GGT), 4.81% (95%CI 3.87, 5.74) for aspartate aminotransferase (AST), 2.46% (95%CI 0.26, 4.65) for total bilirubin (TBIL) and 1.18% (95%CI 0.62, 1.75) for alkaline phosphatase (ALP). Findings were not significantly different when stratified by age (≤16, >16 yr), sex, smoking (current, other), cholesterol (≤6.18, >6.18 mmol/l) and BMI (<30, ≥30 kg/m2). DISCUSSION These findings suggest that ambient air pollution may have a relatively small impact on the liver, but these changes may have significant impact from a population health perspective, considering the ubiquitous nature of air pollution, or for individuals exposed to very high levels of air pollution.
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Affiliation(s)
- Robert Dales
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada; University of Ottawa and Ottawa Hospital Research Institute, Canada
| | - Kimberly Mitchell
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Anna Lukina
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | | | - Subramanian Karthikeyan
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Sabit Cakmak
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
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Qi W, Mei Z, Sun Z, Lin C, Lin J, Li J, Ji JS, Zheng Y. Exposure to Multiple Air Pollutants and the Risk of Fractures: A Large Prospective Population-Based Study. J Bone Miner Res 2023; 38:1549-1559. [PMID: 37341992 DOI: 10.1002/jbmr.4872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/12/2023] [Accepted: 06/15/2023] [Indexed: 06/22/2023]
Abstract
Atmospheric chemistry studies suggest air pollution impedes ultraviolet B photons and thus reduces cutaneous vitamin D3 synthesis. Biological evidence shows that inhaled pollutants disrupt circulating 25-hydroxyvitamin D (25[OH]D) metabolism and ultimately impact bone health. The hypothesis is that higher air pollution concentrations are associated with a higher risk of fractures, mediated by lower circulating 25(OH)D. The study included participants of the UK Biobank who were free of fracture history at enrollment (2006 to 2010) and analyzed their environmental exposure data (2007 to 2010). Air pollution measurements included the annual averages of air particulate matter (PM2.5 , PM2.5-10 , and PM10 ), nitrogen oxides (NO2 and NOx ), and a composite air pollution score. Multivariable Cox proportional hazard models were used to assess the associations of the individual pollutants and the score with fracture risks. Mediation analyses were conducted to assess the underlying role of serum 25(OH)D in such associations. Among 446,395 participants with a median of 8-year follow-up, 12,288 incident fractures were documented. Participants living in places with the highest quintile of air pollution score had a 15.3% increased risk of fractures (hazard ratio [95%CI]: 1.15[1.09,1.22]) compared to those in the lowest, and 5.49% of this association was mediated through serum 25(OH)D (pmediation < 0.05). Pollutant-specific hazard of top-to-bottom quintiles was 16% for PM2.5 , 4% for PM2.5-10 , 5% for PM10 , 20% for NO2 , and 17% for NOx , with a 4% to 6% mediation effect of serum 25(OH)D concentrations. The associations of the air pollution score with fracture risks were weaker among female participants, those who drank less alcohol, and consumed more fresh fruit than their counterparts (pinteraction < 0.05). © 2023 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Wenhao Qi
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Zhendong Mei
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Zhonghan Sun
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Chenhao Lin
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Jinran Lin
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Jialin Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
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Zhang Y, Shi J, Ma Y, Yu N, Zheng P, Chen Z, Wang T, Jia G. Association between Air Pollution and Lipid Profiles. TOXICS 2023; 11:894. [PMID: 37999546 PMCID: PMC10675150 DOI: 10.3390/toxics11110894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/30/2023] [Accepted: 10/28/2023] [Indexed: 11/25/2023]
Abstract
Dyslipidemia is a critical factor in the development of atherosclerosis and consequent cardiovascular disease. Numerous pieces of evidence demonstrate the association between air pollution and abnormal blood lipids. Although the results of epidemiological studies on the link between air pollution and blood lipids are unsettled due to different research methods and conditions, most of them corroborate the harmful effects of air pollution on blood lipids. Mechanism studies have revealed that air pollution may affect blood lipids via oxidative stress, inflammation, insulin resistance, mitochondrial dysfunction, and hypothalamic hormone and epigenetic changes. Moreover, there is a risk of metabolic diseases associated with air pollution, including fatty liver disease, diabetes mellitus, and obesity, which are often accompanied by dyslipidemia. Therefore, it is biologically plausible that air pollution affects blood lipids. The overall evidence supports that air pollution has a deleterious effect on blood lipid health. However, further research into susceptibility, indoor air pollution, and gaseous pollutants is required, and the issue of assessing the effects of mixtures of air pollutants remains an obstacle for the future.
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Affiliation(s)
- Yi Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Jiaqi Shi
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Ying Ma
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Nairui Yu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Pai Zheng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Zhangjian Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Tiancheng Wang
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China;
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
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Xing Y, Gao X, Li Q, Li X, Wang Y, Yang Y, Yang S, Lau PWC, Zeng Q, Wang H. Associations between exposure to ambient particulate matter and advanced liver fibrosis in Chinese MAFLD patients. JOURNAL OF HAZARDOUS MATERIALS 2023; 460:132501. [PMID: 37690203 DOI: 10.1016/j.jhazmat.2023.132501] [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: 06/20/2023] [Revised: 08/16/2023] [Accepted: 09/05/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND & AIMS Liver fibrosis is an important feature in patients with metabolic dysfunction-associated fatty liver disease (MAFLD). This study aimed to explore the association between long-term ambient particulate matter (PM) exposure and advanced liver fibrosis (ALF) in MAFLD participants. METHODS A cross-sectional study of 23170 adults recruited from 33 provinces of China from 2010 to 2020. ALF was detected using the nonalcoholic fatty liver disease fibrosis score (NFS). The annual average levels of particulate matter with aerodynamic diameters of ≤ 1 µm (PM1), ≤ 2.5 µm (PM2.5) and ≤ 10 µm (PM10) were calculated using validated spatiotemporal models. Generalized additive models were applied to analyze the association between PM and ALF in patients with MAFLD. RESULTS One-year exposure to higher levels of all PM was found to increase the risk of ALF, with odds ratios (ORs) of 1.10 (95% CI 1.06-1.14), 1.05 (1.03-1.07), and 1.03(1.02-1.04) for each 10 μg/m3 increase in PM1, PM2.5 and PM10, respectively. With the dissection of the impact of PM1 in PM2.5, PM2.5 in PM10 and PM1 in PM10, we found that PM2.5 had a stronger impact on ALF (both Pinteraction<0.05) in comparison with PM1 and PM10. CONCLUSIONS Long-term exposure to PM is associated with ALF in patients with MAFLD, with PM2.5 playing a dominant role.
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Affiliation(s)
- Yunfei Xing
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Xiangyang Gao
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100039, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China; Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100083, China
| | - Xueying Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Youxin Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Yifan Yang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Shuhan Yang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Patrick W C Lau
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, 999077, Hong Kong SAR China; Laboratory of Exercise Science and Health, BNU-HKBU United International College, Zhuhai 519087, China
| | - Qiang Zeng
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100039, China.
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China.
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Liu M, Yang S, Ye Z, Zhang Y, He P, Zhou C, Zhang Y, Qin X. Residential green and blue spaces with nonalcoholic fatty liver disease incidence: Mediating effect of air pollutants. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115436. [PMID: 37672940 DOI: 10.1016/j.ecoenv.2023.115436] [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: 07/13/2023] [Revised: 08/20/2023] [Accepted: 09/01/2023] [Indexed: 09/08/2023]
Abstract
BACKGROUND This study aimed to investigate the relationship of residential green and blue spaces with incident nonalcoholic fatty liver disease (NAFLD), and explore the potential mediation effects of air pollutants and modification effect of genetic susceptibility. METHODS 411,200 UK Biobank participants without prior liver diseases were included. Land use data were used to estimate residential green and blue spaces (land coverage percentage) at 300 m and 1000 m buffer. The study outcome was incident NAFLD, ascertained through linkage to hospital admissions and death registry records. RESULTS 5198 NAFLD cases were documented after a median follow-up of 12.5 years. Green and blue spaces were inversely associated with the hazard of NAFLD: per standard deviation (SD) increment of green space coverage at 300 m (SD: 14.5 %; HR, 0.88, 95 %CI, 0.86-0.91) and 1000 m (SD: 14.1 %; HR, 0.88, 95 %CI, 0.86-0.91) buffer, and blue space coverage at 300 m (SD: 1.0 %; HR,0.95, 95 %CI, 0.93-0.98) and 1000 m (SD: 1.2 %; HR,0.96, 95 %CI, 0.93-0.99) buffer were related with a 4-12 % reduction of NAFLD incidence. The beneficial effects of approximately 25-52 % of green space exposure and about 5-35 % of blue space exposure on NAFLD incidence were mediated by the reduction of PM2.5, NO2 and NOx (All Pindirect effect <0.05). Moreover, genetic susceptibility of NAFLD did not modify the relationship of green and blue spaces with NAFLD incidence. CONCLUSION Residential green and blue spaces were inversely related to NAFLD incidence. These results suggest that green and blue spaces are modifiable factors that may help prevent NAFLD, and therefore, can be considered as a novel environmental strategy to promote liver health at the community level, rather than only at the individual level.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China.
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Patterson WB, Holzhausen E, Chalifour B, Goodrich J, Costello E, Lurmann F, Conti DV, Chen Z, Chatzi L, Alderete TL. Exposure to ambient air pollutants, serum miRNA networks, lipid metabolism, and non-alcoholic fatty liver disease in young adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115486. [PMID: 37729806 PMCID: PMC10548742 DOI: 10.1016/j.ecoenv.2023.115486] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/30/2023] [Accepted: 09/13/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND AND AIM Ambient air pollution (AAP) exposure has been associated with altered blood lipids and liver fat in young adults. MicroRNAs regulate gene expression and may mediate these relationships. This work investigated associations between AAP exposure, serum microRNA networks, lipid profiles, and non-alcoholic fatty liver disease (NAFLD) risk in young adults. METHODS Participants were 170 young adults (17-22 years) from the Meta-AIR cohort of the Children's Health Study (CHS). Residential AAP exposure (PM2.5, PM10, NO2, 8-hour maximum O3, redox-weighted oxidative capacity [Oxwt]) was spatially interpolated from monitoring stations via inverse-distance-squared weighting. Fasting serum lipids were assayed. Liver fat was imaged by MRI and NAFLD was defined by ≥ 5.5% hepatic fat fraction. Serum microRNAs were measured via NanoString and microRNA networks were constructed by weighted gene correlation network analysis. The first principal component of each network represented its expression profile. Multivariable mixed effects regression models adjusted for sociodemographic, behavioral, and clinical covariates; baseline CHS town code was a random effect. Effects estimates are scaled to one standard deviation of exposure. Mediation analysis explored microRNA profiles as potential mediators of exposure-outcome associations. DIANA-mirPATH identified overrepresented gene pathways targeted by miRNA networks. RESULTS Prior-month Oxwt was associated with NAFLD (OR=3.45; p = 0.003) and inversely associated with microRNA Network A (β = -0.016; p = 0.026). Prior-year NO2 was associated with non-HDL-cholesterol (β = 7.13; p = 0.01) and inversely associated with miRNA Network A (β = -0.019; p = 0.022). Network A expression was inversely associated with NAFLD (OR=0.35; p = 0.010) and non-HDL-C (β = -6.94 mg/dL; p = 0.035). Network A members miR-199a/b-3p and miR-130a, which both target fatty acid synthase, mediated 21% of the association between prior-month Oxwt exposure with NAFLD (p = 0.048) and 23.3% of the association between prior-year NO2 exposure and non-HDL-cholesterol (p = 0.026), respectively. CONCLUSIONS Exposure to AAP may contribute to adverse lipid profiles and NAFLD risk among young adults via altered expression of microRNA profiles.
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Affiliation(s)
- William B Patterson
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Elizabeth Holzhausen
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Bridget Chalifour
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Jesse Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Elizabeth Costello
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | | | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.
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Ye Z, Liu M, He P, Wu Q, Yang S, Zhang Y, Zhou C, Zhang Y, Gan X, Sun J, Qin X. Various ambient air pollutants, residential green spaces, fibrosis 4 scores, genetic susceptibility, and risk of severe liver disease. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 263:115246. [PMID: 37453269 DOI: 10.1016/j.ecoenv.2023.115246] [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: 03/07/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The relationship of air pollutants and residential exposure to greenspace with severe liver disease remains inconclusive. OBJECTIVE Our objective was to assess the relationship of joint exposure to air pollutants, residential exposure to greenspaces with new-onset severe liver disease. METHODS We included 427,697 participants without prior liver diseases from UK Biobank. A weighted air pollution score was calculated based on PM2.5, PM10, PM2.5-10, NO2, and NOX. The percentage of land coverage by residential greenspaces was estimated using land use data. The primary outcome was new-onset severe liver disease, defined as a composite outcome including hospitalization or death due to compensated or decompensated liver cirrhosis, liver failure, and hepatocellular carcinoma. RESULTS During a median follow-up of 12.0 years, 4572 participants developed severe liver disease. A higher air pollution score was significantly associated with an increased risk of new-onset severe liver disease (per SD increment; adjusted hazard ratio [HR],1.07; 95% confidence interval [CI],1.04-1.10). Moreover, residential greenspace coverage was inversely associated with new-onset severe liver disease (per SD increment; adjusted HR, 0.95; 95% CI,0.92-0.98). Genetic risks of liver cirrhosis did not significantly modify the associations (both P-interactions >0.05). However, we observed a stronger positive association between air pollution scores and new-onset severe liver disease in individuals with higher fibrosis-4 (FIB-4) scores, lower residential greenspaces, hypertension, and smokers (all P-interactions <0.05). Similarly, a more pronounced inverse association between residential exposure to greenspaces and new-onset severe liver disease was found in smokers and individuals with higher FIB-4 scores (both P-interactions<0.05). CONCLUSIONS Our findings suggest a positive association between air pollution scores and the risk of new-onset severe liver disease, while residential greenspaces show an inverse association. These results underscore the importance of maintaining high exposure to green space and reducing air pollution to prevent serious liver disease.
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Affiliation(s)
- Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Qimeng Wu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Jian Sun
- State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China.
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Huang T, Zheng D, Song Y, Pan H, Qiu G, Xiang Y, Wang Z, Wang F. Demonstration of the impact of COVID-19 on metabolic associated fatty liver disease by bioinformatics and system biology approach. Medicine (Baltimore) 2023; 102:e34570. [PMID: 37657050 PMCID: PMC10476796 DOI: 10.1097/md.0000000000034570] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/13/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Severe coronavirus disease 2019 (COVID-19) has caused a great threat to human health. Metabolic associated fatty liver disease (MAFLD) is a liver disease with a high prevalence rate. Previous studies indicated that MAFLD led to increased mortality and severe case rates of COVID-19 patients, but its mechanism remains unclear. METHODS This study analyzed the transcriptional profiles of COVID-19 and MAFLD patients and their respective healthy controls from the perspectives of bioinformatics and systems biology to explore the underlying molecular mechanisms between the 2 diseases. Specifically, gene expression profiles of COVID-19 and MAFLD patients were acquired from the gene expression omnibus datasets and screened shared differentially expressed genes (DEGs). Gene ontology and pathway function enrichment analysis were performed for common DEGs to reveal the regulatory relationship between the 2 diseases. Besides, the hub genes were extracted by constructing a protein-protein interaction network of shared DEGs. Based on these hub genes, we conducted regulatory network analysis of microRNA/transcription factors-genes and gene - disease relationship and predicted potential drugs for the treatment of COVID-19 and MAFLD. RESULTS A total of 3734 and 589 DEGs were screened from the transcriptome data of MAFLD (GSE183229) and COVID-19 (GSE196822), respectively, and 80 common DEGs were identified between COVID-19 and MAFLD. Functional enrichment analysis revealed that the shared DEGs were involved in inflammatory reaction, immune response and metabolic regulation. In addition, 10 hub genes including SERPINE1, IL1RN, THBS1, TNFAIP6, GADD45B, TNFRSF12A, PLA2G7, PTGES, PTX3 and GADD45G were identified. From the interaction network analysis, 41 transcription factors and 151 micro-RNAs were found to be the regulatory signals. Some mental, Inflammatory, liver diseases were found to be most related with the hub genes. Importantly, parthenolide, luteolin, apigenin and MS-275 have shown possibility as therapeutic agents against COVID-19 and MAFLD. CONCLUSION This study reveals the potential common pathogenesis between MAFLD and COVID-19, providing novel clues for future research and treatment of MAFLD and severe acute respiratory syndrome coronavirus 2 infection.
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Affiliation(s)
- Tengda Huang
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Sichuan, Chengdu, China
- Division of Liver Surgery, Department of General Surgery and Laboratory of Liver Surgery, and State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Dawei Zheng
- The College of Life Sciences, Sichuan University, Chengdu, China
| | - Yujia Song
- Division of Liver Surgery, Department of General Surgery and Laboratory of Liver Surgery, and State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Hongyuan Pan
- Division of Liver Surgery, Department of General Surgery and Laboratory of Liver Surgery, and State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Guoteng Qiu
- Division of Liver Surgery, Department of General Surgery and Laboratory of Liver Surgery, and State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yuchu Xiang
- The College of Life Sciences, Sichuan University, Chengdu, China
| | - Zichen Wang
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Fang Wang
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Sichuan, Chengdu, China
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Wang P, Li K, Xu C, Fan Z, Wang Z. Spatial analysis of overweight prevalence in China: exploring the association with air pollution. BMC Public Health 2023; 23:1595. [PMID: 37608324 PMCID: PMC10463435 DOI: 10.1186/s12889-023-16518-6] [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: 04/23/2023] [Accepted: 08/13/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Overweight is a known risk factor for various chronic diseases and poses a significant threat to middle-aged and elderly adults. Previous studies have reported a strong association between overweight and air pollution. However, the spatial relationship between the two remains unclear due to the confounding effects of spatial heterogeneity. METHODS We gathered height and weight data from the 2015 China Health and Retirement Long-term Survey (CHARLS), comprising 16,171 middle-aged and elderly individuals. We also collected regional air pollution data. We then analyzed the spatial pattern of overweight prevalence using Moran's I and Getis-Ord Gi* statistics. To quantify the explanatory power of distinct air pollutants for spatial differences in overweight prevalence across Southern and Northern China, as well as across different age groups, we utilized Geodetector's q-statistic. RESULTS The average prevalence of overweight among middle-aged and elderly individuals in each city was 67.27% and 57.39%, respectively. In general, the q-statistic in southern China was higher than that in northern China. In the north, the prevalence was significantly higher at 54.86% compared to the prevalence of 38.75% in the south. SO2 exhibited a relatively higher q-statistic in middle-aged individuals in both the north and south, while for the elderly in the south, NO2 was the most crucial factor (q = 0.24, p < 0.01). Moreover, fine particulate matter (PM2.5 and PM10) also demonstrated an important effect on overweight. Furthermore, we found that the pairwise interaction between various risk factors improved the explanatory power of the prevalence of overweight, with different effects for different age groups and regions. In northern China, the strongest interaction was found between NO2 and SO2 (q = 0.55) for middle-aged individuals and PM2.5 and SO2 (q = 0.27) for the elderly. Conversely, in southern China, middle-aged individuals demonstrated the strongest interaction between SO2 and PM10 (q = 0.60), while the elderly showed the highest interaction between NO2 and O3 (q = 0.42). CONCLUSION Significant spatial heterogeneity was observed in the effects of air pollution on overweight. Specifically, air pollution in southern China was found to have a greater impact on overweight than that in northern China. And, the impact of air pollution on middle-aged individuals was more pronounced than on the elderly, with distinct pollutants demonstrating significant variation in their impact. Moreover, we found that SO2 had a greater impact on overweight prevalence among middle-aged individuals, while NO2 had a greater impact on the elderly. Additionally, we identified significant statistically interactions between O3 and other pollutants.
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Affiliation(s)
- Peihan Wang
- Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, P.R. China
| | - Kexin Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, P.R. China
| | - Chengdong Xu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, P.R. China.
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China.
| | - Zixuan Fan
- Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, P.R. China.
- School of Health Policy and Management, Peking Union Medical College, Beijing, 100730, P.R. China.
| | - Zhenbo Wang
- Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, P.R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
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Barouki R, Samson M, Blanc EB, Colombo M, Zucman-Rossi J, Lazaridis KN, Miller GW, Coumoul X. The exposome and liver disease - how environmental factors affect liver health. J Hepatol 2023; 79:492-505. [PMID: 36889360 PMCID: PMC10448911 DOI: 10.1016/j.jhep.2023.02.034] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 03/10/2023]
Abstract
Since the initial development of the exposome concept, much effort has been devoted to the characterisation of the exposome through analytical, epidemiological, and toxicological/mechanistic studies. There is now an urgent need to link the exposome to human diseases and to include exposomics in the characterisation of environment-linked pathologies together with genomics and other omics. Liver diseases are particularly well suited for such studies since major functions of the liver include the detection, detoxification, and elimination of xenobiotics, as well as inflammatory responses. It is well known that several liver diseases are associated with i) addictive behaviours such as alcohol consumption, smoking, and to a certain extent dietary imbalance and obesity, ii) viral and parasitic infections, and iii) exposure to toxins and occupational chemicals. Recent studies indicate that environmental exposures are also significantly associated with liver diseases, and these include air pollution (particulate matter and volatile chemicals), contaminants such as polyaromatic hydrocarbons, bisphenol A and per-and poly-fluorinated substances, and physical stressors such as radiation. Furthermore, microbial metabolites and the "gut-liver" axis play a major role in liver diseases. Exposomics is poised to play a major role in the field of liver pathology. Methodological advances such as the exposomics-metabolomics framework, the determination of risk factors' genomic and epigenomic signatures, and cross-species biological pathway analysis should further delineate the impact of the exposome on the liver, opening the way for improved prevention, as well as the identification of new biomarkers of exposure and effects, and additional therapeutic targets.
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Affiliation(s)
| | - Michel Samson
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | | | - Massimo Colombo
- San Raffaele Hospital, Liver Center, Via Olgettina 60, 20132, Milan, Italy
| | - Jessica Zucman-Rossi
- Centre de Recherche des Cordeliers, Université Paris Cité, Sorbonne Université, Inserm, AP-HP, Hôpital Européen Georges Pompidou, Institut du Cancer Paris CARPEM, F-75006, Paris, France
| | | | - Gary W Miller
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, 10032, USA
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Hou X, Mao Z, Song X, Li R, Liao W, Kang N, Zhang C, Liu X, Chen R, Huo W, Wang C, Hou J. Synergistic association of long-term ozone exposure and solid fuel use with biomarkers of advanced fibrosis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:85318-85329. [PMID: 37382821 DOI: 10.1007/s11356-023-28337-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 06/13/2023] [Indexed: 06/30/2023]
Abstract
This study aims to explore the association of combined exposure to cooking fuel type and ambient ozone (O3) levels with hepatic fibrosis indices among rural adults. A total of 21,010 participants were derived from the Henan Rural Cohort. Information regarding cooking fuel type was collected through a questionnaire, and the concentration of ground-level O3 for each subject was obtained from the Tracking Air Pollution in China (TAP) dataset. A generalized linear model was used to examine the independent association of cooking fuel type or O3 exposure with hepatic fibrosis indices (FIB-4, APRI, and AST/ALT), and their possible interactions with advanced fibrosis were conducted. Compared to clean fuel users, solid fuel users had increased the risk of advanced fibrosis, the adjusted odds ratio (OR) of its assessment by FIB-4 1.240 (1.151, 1.336), by APRI 1.298 (1.185, 1.422), and by AST/ALT 1.135 (1.049, 1.227), respectively. Compared to low O3 exposure, the adjusted ORs of advanced fibrosis assessed by FIB-4, APRI, and AST/ALT in women with high O3 exposure were correspondingly 1.219 (1.138, 1.305), 1.110 (1.017, 1.212), and 0.883 (0.822, 0.949). The adjusted ORs of advanced fibrosis assessed by FIB-4, APRI, and AST/ALT for solid fuel users with high O3 exposure relative to clean fuel users with low O3 exposure in women were 1.557 (1.381, 1.755), 1.427 (1.237, 1.644), and 0.979 (0.863, 1.108), respectively. Significant additive effect of O3 exposure and solid fuel use on FIB-4-defined advanced fibrosis was observed in women, which was quantified by RERI (0.265, 95%CI: 0.052, 0.477), AP (0.170 95%CI: 0.045, 0.295), and SI (1.906, 95%CI: 1.058, 3.432). Solid fuel users with high O3 exposure were significantly associated with elevated hepatic fibrosis indices among rural women, suggesting that poor air quality may induce hepatocellular injury, and women might be more vulnerable to air pollution. The findings indicate that using cleaner fuels in cooking is an effective measure to maintain sustainable development of the environment and gain beneficial effect on human health. Clinical trial registration: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375.
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Affiliation(s)
- Xiaoyu Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiaoqin Song
- Physical Examination Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China.
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