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Huo C, Jiao X, Wang Y, Jiang Q, Ning F, Wang J, Jia Q, Zhu Z, Tian L. Silica aggravates pulmonary fibrosis through disrupting lung microbiota and amino acid metabolites. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:174028. [PMID: 38889818 DOI: 10.1016/j.scitotenv.2024.174028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/10/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024]
Abstract
Silicosis, recognized as a severe global public health issue, is an irreversible pulmonary fibrosis caused by the long-term inhalation of silica particles. Given the intricate pathogenesis of silicosis, there is no effective intervention measure, which poses a severe threat to public health. Our previous study reported that dysbiosis of lung microbiota is associated with the development of pulmonary fibrosis, potentially involving the lipopolysaccharides/toll-like receptor 4 pathway. Similarly, the process of pulmonary fibrosis is accompanied by alterations in metabolic pathways. This study employed a combined approach of 16S rDNA sequencing and metabolomic analysis to investigate further the role of lung microbiota in silicosis delving deeper into the potential pathogenesis of silicosis. Silica exposure can lead to dysbiosis of the lung microbiota and the occurrence of pulmonary fibrosis, which was alleviated by a combination antibiotic intervention. Additionally, significant metabolic disturbances were found in silicosis, involving 85 differential metabolites among the three groups, which are mainly focused on amino acid metabolic pathways. The changed lung metabolites showed a substantial correlation with lung microbiota. The relative abundance of Pseudomonas negatively correlated with L-Aspartic acid, L-Glutamic acid, and L-Threonine levels. These results indicate that dysbiosis in pulmonary microbiota exacerbates silica-induced fibrosis through impacts on amino acid metabolism, providing new insights into the potential mechanisms and interventions of silicosis.
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Affiliation(s)
- Chuanyi Huo
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Xukun Jiao
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Yan Wang
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Qiyue Jiang
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Fuao Ning
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Jiaxin Wang
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Qiyue Jia
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
| | - Zhonghui Zhu
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
| | - Lin Tian
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
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Liu K, Sun X, Hu WJ, Mei LY, Zhang HD, Su SB, Ning K, Nie YF, Qiu LP, Xia Y, Han L, Zhi Q, Shi CB, Wang G, Wen W, Gao JQ, Yu B, Wang X, Dong YW, Kang N, Han F, Bian HY, Chen YQ, Ye M. Occupational Exposure to Silica Dust and Silicosis Risk in Chinese Noncoal Mines: Qualitative and Quantitative Risk Assessment. JMIR Public Health Surveill 2024; 10:e56283. [PMID: 39222341 DOI: 10.2196/56283] [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: 01/11/2024] [Revised: 05/14/2024] [Accepted: 07/04/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Despite increasing awareness, silica dust-induced silicosis still contributes to the huge disease burden in China. Worryingly, recent silica dust exposure levels and silicosis risk in Chinese noncoal mines remain unclear. OBJECTIVE We aimed to determine recent silica dust exposure levels and assess the risk of silicosis in Chinese noncoal mines. METHODS Between May and December 2020, we conducted a retrospective cohort study on 3 noncoal mines and 1 public hospital to establish, using multivariable Cox regression analyses, prediction formulas of the silicosis cumulative hazard ratio (H) and incidence (I) and a cross-sectional study on 155 noncoal mines in 10 Chinese provinces to determine the prevalence of silica dust exposure (PDE), free silica content, and total dust and respirable dust concentrations. The qualitative risk of silicosis was assessed using the International Mining and Metals Commission's risk-rating table and the occupational hazard risk index; the quantitative risk was assessed using prediction formulas. RESULTS Kaplan-Meier survival analysis revealed significant differences in the silicosis probability between silica dust-exposed male and female miners (log-rank test χ21=7.52, P=.01). A total of 126 noncoal mines, with 29,835 miners and 4623 dust samples, were included; 13,037 (43.7%) miners were exposed to silica dust, of which 12,952 (99.3%) were male. The median PDE, free silica content, total dust concentration, and respirable dust concentration were 61.6%, 27.6%, 1.30 mg/m3, and 0.58 mg/m3, respectively, indicating that miners in nonmetal, nonferrous metal, small, and open-pit mines suffer high-level exposure to silica dust. Comprehensive qualitative risk assessment showed noncoal miners had a medium risk of silicosis, and the risks caused by total silica dust and respirable silica dust exposure were high and medium, respectively. When predicting H and I over the next 10, 20, and 30 years, we assumed that the miner gender was male. Under exposure to current total silica dust concentrations, median I10, I20, and I30 would be 6.8%, 25.1%, and 49.9%, respectively. Under exposure to current respirable silica dust concentrations, median I10, I20, and I30 would be 6.8%, 27.7%, and 57.4%, respectively. These findings showed that miners in nonmetal, nonferrous metal, small, and open-pit mines have a higher I and higher qualitative silicosis risk. CONCLUSIONS Chinese noncoal miners, especially those in nonmetal, nonferrous metal, small, and open-pit mines, still suffer high-level exposure to silica dust and a medium-level risk of silicosis. Data of both total silica dust and respirable silica dust are vital for occupational health risk assessment in order to devise effective control measures to reduce noncoal mine silica dust levels, improve miners' working environment, and reduce the risk of silicosis.
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Affiliation(s)
- Kai Liu
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Sun
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei-Jiang Hu
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liang-Ying Mei
- Institute of Occupational Disease Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Heng-Dong Zhang
- Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Shi-Biao Su
- Institute of Occupational Health Assessment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China
| | - Kang Ning
- Institute of Occupational Disease Prevention, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Yun-Feng Nie
- Department of Health Risk Assessment, Hunan Prevention and Treatment Institute for Occupational Diseases, Changsha, China
| | - Le-Ping Qiu
- Institute of Occupational Health and Radiological Health, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Ying Xia
- Institute of Occupational Disease Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Lei Han
- Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qiang Zhi
- Department of Occupational Disease Prevention and Control, Inner Mongolia Autonomous Region Center for Disease Control and Prevention, Hohhot, China
| | - Chun-Bo Shi
- Institute of Occupational Health and Public Health, Qinghai Center for Disease Control and Prevention, Xining, China
| | - Geng Wang
- Institute of Occupational Health and Public Health, Qinghai Center for Disease Control and Prevention, Xining, China
| | - Wei Wen
- Institute of Occupational Health Assessment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China
| | - Jian-Qiong Gao
- Department of Occupational Disease Prevention and Control, Inner Mongolia Autonomous Region Center for Disease Control and Prevention, Hohhot, China
| | - Bing Yu
- Enshi Tujia and Miao Autonomous Prefectural Center for Disease Control and Prevention, Enshi, China
| | - Xin Wang
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi-Wen Dong
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ning Kang
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Han
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hong-Ying Bian
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong-Qing Chen
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Ye
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
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Wang M, Miao H. Disease burden and related risk factors of esophageal cancer in China and globally from 1990 to 2021, with forecast to 2035: An analysis and comparison. Tob Induc Dis 2024; 22:TID-22-140. [PMID: 39091891 PMCID: PMC11292605 DOI: 10.18332/tid/191389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 07/18/2024] [Accepted: 07/21/2024] [Indexed: 08/04/2024] Open
Abstract
INTRODUCTION In this study we estimate the burden of esophageal cancer (EC) in China and globally from 1990 to 2021, with a forecast to 2035, using Global Burden of Disease (GBD) data. We also analyze the related risk factors to investigate burden trends. METHODS Mortality, disability-adjusted life years (DALYs), crude rates, and age-standardized rates of EC were analyzed in China and globally from 1990 to 2035, utilizing GBD open data as a secondary dataset analysis of GBD data. Temporal change trends of EC risk factors were analyzed from 1990 to 2021. Joinpoint regression determined average annual percentage change (AAPC) of age-standardized rates. Descriptive analysis compared mortality and DALYs by age groups. Bayesian age-period-cohort (BAPC) predicted age-standardized mortality and DALYs rates for the next 14 years. RESULTS The ASMR and ASDR fluctuations in EC were significant in China, showing an overall downward trend. Globally, although there was also a downward trend, the fluctuations were relatively mild. The number of deaths and DALYs related to EC in China and globally showed a significant upward trend. Age-specific burden trends in China for EC indicated that the age group with the peak number of EC deaths shifted to the 70-74 years age group in 2021, while DALYs peaked in the 65-69 years age group. The crude mortality rate (CMR) peaked consistently in 1990 and 2021, both within the 90-94 years age range, while the crude DALY rate (CDR) shifted to the 85-89 years age group. Overall, the burden of EC deaths and DALYs in the population aged <40 years was relatively low, increasing rapidly after the age of 40 years, reaching a peak and gradually declining, and reaching a lower level after the age of 85 years. The predictive results of the BAPC model indicated that over the next 14 years, both ASMR and ASDR for EC in China and globally would show a slight overall increase. The GBD 2021 study identified smoking, high alcohol use, chewing tobacco, and diet low in vegetables as the main risk factors affecting EC mortality rate and DALYs. Among these, smoking and alcohol use were the most significant risk factors, with a higher impact on EC in China compared to the global level. From 1990 to 2021, the overall changes in ASMR and ASDR indicate a decreasing trend in the impact of these four risk factors on EC mortality rate and DALYs. CONCLUSIONS The burden of EC is expected to steadily increase in China and globally until 2035, posing a significant challenge. Targeted prevention and control policies, such as calling on people to quit smoking and reduce alcohol use, may help curb this upward trend.
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Affiliation(s)
- Mimi Wang
- Science and Education Information Section, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Huiwen Miao
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, China
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Jia Q, Wang H, Wang Y, Xue W, Jiang Q, Wang J, Ning F, Zhu Z, Tian L. Investigation of the mechanism of silica-induced pulmonary fibrosis: The role of lung microbiota dysbiosis and the LPS/TLR4 signaling pathway. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168948. [PMID: 38048996 DOI: 10.1016/j.scitotenv.2023.168948] [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: 09/15/2023] [Revised: 11/25/2023] [Accepted: 11/25/2023] [Indexed: 12/06/2023]
Abstract
The widespread manufacture of silica and its extensive use, and potential release of silica into the environment pose a serious human health hazard. Silicosis, a severe global public health issue, is caused by exposure to silica, leading to persistent inflammation and fibrosis of the lungs. The underlying pathogenic mechanisms of silicosis remain elusive. Lung microbiota dysbiosis is associated with the development of inflammation and fibrosis. However, limited information is currently available regarding the role of lung microbiota in silicosis. The study therefore is designed to conduct a comprehensive analysis of the role of lung microbiota dysbiosis and establish a basis for future investigations into the potential mechanisms underlying silicosis. Here, the pathological and biochemical parameters were used to systematically assessed the degree of inflammation and fibrosis following silica exposure and treatment with combined antibiotics. The underlying mechanisms were studied via integrative multi-omics analyses of the transcriptome and microbiome. Analysis of 16S ribosomal DNA revealed dysbiosis of the microbial community in silicosis, characterized by a predominance of gram-negative bacteria. Exposure to silica has been shown to trigger lung inflammation and fibrosis, leading to an increased concentration of lipopolysaccharides in the bronchoalveolar lavage fluid. Furthermore, Toll-like receptor 4 was identified as a key molecule in the lung microbiota dysbiosis associated with silica-induced lung fibrosis. All of these outcomes can be partially controlled through combined antibiotic administration. The study findings demonstrate that the dysbiosis of lung microbiota enhances silica-induced fibrosis associated with the lipopolysaccharides/Toll-like receptor 4 pathway and provided a promising target for therapeutic intervention of silicosis.
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Affiliation(s)
- Qiyue Jia
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Hongwei Wang
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Yan Wang
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Wenming Xue
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Qiyue Jiang
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Jiaxin Wang
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Fuao Ning
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Zhonghui Zhu
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
| | - Lin Tian
- Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
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Wu Z, Huang G, Ai J, Liu Y, Pei B. The burden of low back pain in adolescents and young adults. J Back Musculoskelet Rehabil 2024; 37:955-966. [PMID: 38517768 PMCID: PMC11321494 DOI: 10.3233/bmr-230215] [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: 07/16/2023] [Accepted: 01/18/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND Low back pain is highly prevalent and the main cause of years lived with disability, but data on the burden and trends of low back pain (LBP) in adolescents and young adults (AYAs) are sparse. OBJECTIVE To assess trends in the burden of LBP among AYAs aged 15-39 years at the global, regional and national levels from 1990 to 2019. METHODS Data from the Global Burden of Disease (GBD) 2019 were used to analyze incidence, prevalence and Disability-adjusted life year (DALY) due to LBP at global, regional, and national levels. Joinpoint regression analysis calculated the average annual percentage changes (AAPC). Then analyse the association between incidence, prevalence and DALYs and socioeconomic development using the GBD Socio-demographic Index (SDI). Finally, projections were made until 2030 and calculated in Nordpred. RESULTS The incidence, prevalence and DALYs rates (95%UI) were 2252.78 (1809.47-2784.79), 5473.43 (4488.62-6528.15) and 627.66 (419.71-866.97) in 2019, respectively. From 1990 to 2019, the incidence, prevalence, and DALYs rates AAPC (95%CI) were -0.49 (-0.56 to -0.42), -0.58 (-0.65 to -0.51) and -0.57 (-0.64 to -0.5), respectively. Incidence, prevalence, and DALYs rates in South Asia, East Asia, High-income North America, Western Europe, and Australasia decreased with SDI. Incidence, prevalence, and DALYs rates in Central Asia, Central Europe, and Eastern Europe decreased and then increased with SDI. At the national level, the incidence, prevalence, and DALYs rates are high in the United States and low in India and China. From the 2020 to 2030, most regions is predicted to decline. CONCLUSION LBP in AYAs is a major global public problem with a high burden. There are large differences in incidence, prevalence and DALYs across SDIs, regions and countries. there is still a need to focus on LBP in AYAs and tailor interventions to reduce the future burden of this condition.
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Affiliation(s)
- Zhiming Wu
- Department of Orthopedics, Xiangyang No.1 People’s Hospital, Jinzhou Medical University Union Training Base, Xiangyang, Hubei, China
| | - Guoxin Huang
- Department of Orthopedics, Xiangyang No.1 People’s Hospital, Jinzhou Medical University Union Training Base, Xiangyang, Hubei, China
- Department of Evidence-Based Medicine Center, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, Hubei, China
| | - Jinwei Ai
- Department of Orthopedics, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, Hubei, China
| | - Ying Liu
- Department of Nursing, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, Hubei, China
| | - Bin Pei
- Department of Orthopedics, Xiangyang No.1 People’s Hospital, Jinzhou Medical University Union Training Base, Xiangyang, Hubei, China
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