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Wang P, Duan F, Lv Y, Man S, Liu S, Liu Y. Long- and Intermediate-Term Ambient Particulate Pollution Is Associated with Increased Osteoarthritis Risk: A Population-Based Prospective Analysis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:9536-9547. [PMID: 38771144 DOI: 10.1021/acs.est.3c10893] [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: 05/22/2024]
Abstract
Recent studies found the intrusion and retention of exogenous fine particles into joints, but epidemiological data for long- and intermediate-term exposure associations are scare. Here, all urban working, retired employee, and rural residents (16.78 million) in Beijing from January 1, 2011 to December 31, 2019 were included to investigate the effects of long- and intermediate-term ambient particulate exposure on development of osteoarthritis. We identified 1,742,067 participants as first-visit patients with osteoarthritis. For each interquartile range increase in annual PM2.5 (23.32 μg/m3) and PM10 (23.92 μg/m3) exposure concentration, the pooled hazard ratios were respectively 1.238 (95% CI: 1.228, 1.249) and 1.178 (95% CI: 1.168, 1.189) for first osteoarthritis outpatient visits. Moreover, age at first osteoarthritis outpatient visits significantly decreased by 4.52 (95% CI: 3.45 to 5.40) days per μg/m3 for annual PM2.5 exposure at below 67.85 μg/m3. Finally, among the six constituents analyzed, black carbon appears to be the most important component associated with the association between PM2.5 exposure and the three osteoarthritis-related outcomes.
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Affiliation(s)
- Pingping Wang
- Department of Human Microbiome, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan 250012, China
| | - Fangfang Duan
- Clinical Epidemiology Research Center, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yanwei Lv
- Clinical Epidemiology Research Center, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Siliang Man
- Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Sijin Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yajun Liu
- Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
- Beijing Research Institute of Traumatology and Orthopaedics, Beijing 100035, China
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Skalny AV, Aschner M, Zhang F, Guo X, Buha Djordevic A, Sotnikova TI, Korobeinikova TV, Domingo JL, Farsky SHP, Tinkov AA. Molecular mechanisms of environmental pollutant-induced cartilage damage: from developmental disorders to osteoarthritis. Arch Toxicol 2024:10.1007/s00204-024-03772-9. [PMID: 38758407 DOI: 10.1007/s00204-024-03772-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 04/24/2024] [Indexed: 05/18/2024]
Abstract
The objective of the present study was to review the molecular mechanisms of the adverse effects of environmental pollutants on chondrocytes and extracellular matrix (ECM). Existing data demonstrate that both heavy metals, including cadmium (Cd), lead (Pb), and arsenic (As), as well as organic pollutants, including polychlorinated dioxins and furans (PCDD/Fs) and polychlorinated biphenyls (PCB), bisphenol A, phthalates, polycyclic aromatic hydrocarbons (PAH), pesticides, and certain other organic pollutants that target cartilage ontogeny and functioning. Overall, environmental pollutants reduce chondrocyte viability through the induction apoptosis, senescence, and inflammatory response, resulting in cell death and impaired ECM production. The effects of organic pollutants on chondrocyte development and viability were shown to be mediated by binding to the aryl hydrocarbon receptor (AhR) signaling and modulation of non-coding RNA expression. Adverse effects of pollutant exposures were observed in articular and growth plate chondrocytes. These mechanisms also damage chondrocyte precursors and subsequently hinder cartilage development. In addition, pollutant exposure was shown to impair chondrogenesis by inhibiting the expression of Sox9 and other regulators. Along with altered Runx2 signaling, these effects also contribute to impaired chondrocyte hypertrophy and chondrocyte-to-osteoblast trans-differentiation, resulting in altered endochondral ossification. Several organic pollutants including PCDD/Fs, PCBs and PAHs, were shown to induce transgenerational adverse effects on cartilage development and the resulting skeletal deformities. Despite of epidemiological evidence linking human environmental pollutant exposure to osteoarthritis or other cartilage pathologies, the data on the molecular mechanisms of adverse effects of environmental pollutant exposure on cartilage tissue were obtained from studies in laboratory rodents, fish, or cell cultures and should be carefully extrapolated to humans, although they clearly demonstrate that cartilage should be considered a putative target for environmental pollutant toxicity.
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Affiliation(s)
- Anatoly V Skalny
- IM Sechenov First Moscow State Medical University (Sechenov University), 119435, Moscow, Russia
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Health Science Center, School of Public Health, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Xiong Guo
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Health Science Center, School of Public Health, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Aleksandra Buha Djordevic
- Department of Toxicology "Akademik Danilo Soldatović", Faculty of Pharmacy, University of Belgrade, 11000, Belgrade, Serbia
| | - Tatiana I Sotnikova
- IM Sechenov First Moscow State Medical University (Sechenov University), 119435, Moscow, Russia
- City Clinical Hospital N. a. S.P. Botkin of the Moscow City Health Department, 125284, Moscow, Russia
| | - Tatiana V Korobeinikova
- IM Sechenov First Moscow State Medical University (Sechenov University), 119435, Moscow, Russia
| | - Jose L Domingo
- Laboratory of Toxicology and Environmental Health, School of Medicine, Universitat Rovira I Virgili, 4320, Reus, Catalonia, Spain
| | - Sandra H P Farsky
- Department of Clinical and Toxicological Analyses, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, 005508-000, Brazil
| | - Alexey A Tinkov
- IM Sechenov First Moscow State Medical University (Sechenov University), 119435, Moscow, Russia.
- Laboratory of Ecobiomonitoring and Quality Control, Yaroslavl State University, 150003, Yaroslavl, Russia.
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Mei L, Zhang Z, Chen R, Li Z. Phenome-wide causal associations between osteoarthritis and other complex traits through the latent causal variable analysis. BMC Musculoskelet Disord 2024; 25:238. [PMID: 38532343 DOI: 10.1186/s12891-024-07360-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 03/15/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Individuals with osteoarthritis present with comorbidities, and the potential causal associations remain incompletely elucidated. The present study undertook a large-scale investigation about the causality between osteoarthritis and variable traits, using the summary-level data of genome-wide association studies (GWAS). METHODS The present study included the summary-level GWS data of knee osteoarthritis, hip osteoarthritis, hip or knee osteoarthritis, hand osteoarthritis, and other 1355 traits. Genetic correlation analysis was conducted between osteoarthritis and other traits through cross-trait bivariate linkage disequilibrium score regression. Subsequently, latent causal variable analysis was performed to explore the causal association when there was a significant genetic correlation. Genetic correlation and latent causal variable analysis were conducted on the Complex Traits Genomics Virtual Lab platform ( https://vl.genoma.io/ ). RESULTS We found 133 unique phenotypes showing causal relationships with osteoarthritis. Our results confirmed several well-established risk factors of osteoarthritis, such as obesity, weight, BMI, and meniscus derangement. Additionally, our findings suggested putative causal links between osteoarthritis and multiple factors. Socioeconomic determinants such as occupational exposure to dust and diesel exhaust, extended work hours exceeding 40 per week, and unemployment status were implicated. Furthermore, our analysis revealed causal associations with cardiovascular and metabolic disorders, including heart failure, deep venous thrombosis, type 2 diabetes mellitus, and elevated cholesterol levels. Soft tissue and musculoskeletal disorders, such as hallux valgus, internal derangement of the knee, and spondylitis, were also identified to be causally related to osteoarthritis. The study also identified the putative causal associations of osteoarthritis with digestive and respiratory diseases, such as Barrett's esophagus, esophagitis, and asthma, as well as psychiatric conditions including panic attacks and manic or hyperactive episodes. Additionally, we observed osteoarthritis causally related to pharmacological treatments, such as the use of antihypertensive medications, anti-asthmatic drugs, and antidepressants. CONCLUSION Our study uncovered a wide range of traits causally associated with osteoarthritis. Further studies are needed to validate and illustrate the detailed mechanism of those causal associations.
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Affiliation(s)
- Lin Mei
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Zhiming Zhang
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Ruiqi Chen
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Zhihong Li
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China.
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Zhang YF, Zhang LF, Zhang HY, Jiang W, Li GY, Zhang TP. Short-term exposure to gaseous pollutants is neglected factors for knee osteoarthritis: evidence from a humid subtropical region of China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:2920-2929. [PMID: 38079043 DOI: 10.1007/s11356-023-31374-y] [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: 06/24/2023] [Accepted: 12/01/2023] [Indexed: 01/18/2024]
Abstract
Few studies were performed on the impact of exposure to gaseous pollutants on the risk of knee osteoarthritis (KOA). We conducted this study to analyze the association between short-term exposure to gaseous pollutants and the risk of hospitalizations for KOA. A total of 2952 KOA hospitalizations derived from two hospitals in Hefei, and the relationship between gaseous pollutants and KOA hospitalizations was analyzed by a distributed lag non-linear model combined with a generalized linear model. We found that the decreased risk of hospitalizations for KOA were both related to exposure to NO2 (RR = 0.993, lag19 day) and O3 (RR = 0.984, lag0 day), while exposure to CO could increase the risk of hospitalizations for KOA (RR = 1.076, lag2 day). Stratified analyses suggested that the KOA patients < 65 years were more susceptible to O3 exposure, and the female, male, patients ≥ 65 years, and patients < 65 years were both more sensitive to CO exposure. Our findings demonstrated that exposure to NO2, O3 resulted in a decreased risk for KOA hospitalizations, and CO exposure might increase the risk of KOA hospitalizations.
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Affiliation(s)
- Yi-Fei Zhang
- Department of Orthopaedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Li-Feng Zhang
- Department of Orthopaedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Han-Yuan Zhang
- Department of Orthopaedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Wei Jiang
- Department of Orthopaedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Guang-Yu Li
- Department of Orthopaedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Tian-Ping Zhang
- Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
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Gherscovici ED, Mayer JM. Relationship of Healthy Building Determinants With Musculoskeletal Disorders of the Extremities: A Systematic Review. Cureus 2023; 15:e37456. [PMID: 37091490 PMCID: PMC10115431 DOI: 10.7759/cureus.37456] [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] [Accepted: 04/11/2023] [Indexed: 04/25/2023] Open
Abstract
Musculoskeletal disorders (MSDs) are a substantial societal burden and various factors affect their causation, recovery, and prognosis. Management of MSDs is complex and requires multifaceted interventions. Given the challenges of MSDs and their continued burden, it is possible that additional elements could impact these disorders that have not been fully researched, for example, indoor environmental quality. Our previous review provided preliminary evidence that healthy building determinants (HBDs) are associated with the risk of back and neck pain. However, the relationship of HBDs with extremity MSDs and general MSDs (i.e., MSDs involving multiple body regions or in which body regions were unspecified in the original reports) has not been formally studied. The purpose of this review was to conduct a systematic literature review to assess the relationship of HBDs with extremity and general MSDs (PROSPERO ID: CRD42022314832). PubMed, CINAHL, Embase, and PEDRo databases were searched through April 2022. Inclusion criteria for study eligibility were as follows: humans of ages ≥18 years, reported on one or more of eight HBDs (1. air quality and ventilation, 2. dust and pests, 3. lighting and views, 4. moisture, 5. noise, 6. safety and security, 7. thermal health, 8. water quality), and compared these HBDs with extremity MSDs or general MSDs, original research, English. Exclusion criteria were as follows: articles not published in peer-reviewed journals, full-text articles unavailable. Review procedures were conducted and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. Empirical evidence statements were developed for 33 pairwise comparisons of HBDs with MSDs. The search uncovered 53 eligible studies with 178,532 participants. A total of 74.6% (39/53) of the studies were cross-sectional and 81.1% (43/53) were fair quality. Overall, the majority of uncovered evidence indicates that HBDs are related to risk of extremity and general MSDs. Nineteen comparisons support that as HBDs worsen, the risk of MSDs increases. Six comparisons had conflicting evidence. Three comparisons support that poor HBDs are not related to increased risk of extremity and general MSDs. Five comparisons had no evidence. This systematic review builds upon previous work to provide useful starting points to enhance awareness about the HBD-MSD relationship. These findings can help inform research and public health efforts aimed at addressing suboptimal HBDs through appropriate interventions to improve the lives of those suffering from MSDs.
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Affiliation(s)
| | - John M Mayer
- Research and Development, Healthy Buildings LLC, Malibu, USA
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Prada D, Crandall CJ, Kupsco A, Kioumourtzoglou MA, Stewart JD, Liao D, Yanosky JD, Ramirez A, Wactawski-Wende J, Shen Y, Miller G, Ionita-Laza I, Whitsel EA, Baccarelli AA. Air pollution and decreased bone mineral density among Women's Health Initiative participants. EClinicalMedicine 2023; 57:101864. [PMID: 36820096 PMCID: PMC9938170 DOI: 10.1016/j.eclinm.2023.101864] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/17/2023] Open
Abstract
Background Osteoporosis heavily affects postmenopausal women and is influenced by environmental exposures. Determining the impact of criteria air pollutants and their mixtures on bone mineral density (BMD) in postmenopausal women is an urgent priority. Methods We conducted a prospective observational study using data from the ethnically diverse Women's Health Initiative Study (WHI) (enrollment, September 1994-December 1998; data analysis, January 2020 to August 2022). We used log-normal, ordinary kriging to estimate daily mean concentrations of PM10, NO, NO2, and SO2 at participants' geocoded addresses (1-, 3-, and 5-year averages before BMD assessments). We measured whole-body, total hip, femoral neck, and lumbar spine BMD at enrollment and follow-up (Y1, Y3, Y6) via dual-energy X-ray absorptiometry. We estimated associations using multivariable linear and linear mixed-effects models and mixture effects using Bayesian kernel machine regression (BKMR) models. Findings In cross-sectional and longitudinal analyses, mean PM10, NO, NO2, and SO2 averaged over 1, 3, and 5 years before the visit were negatively associated with whole-body, total hip, femoral neck, and lumbar spine BMD. For example, lumbar spine BMD decreased 0.026 (95% CI: 0.016, 0.036) g/cm2/year per a 10% increase in 3-year mean NO2 concentration. BKMR suggested that nitrogen oxides exposure was inversely associated with whole-body and lumbar spine BMD. Interpretation In this cohort study, higher levels of air pollutants were associated with bone damage, particularly on lumbar spine, among postmenopausal women. These findings highlight nitrogen oxides exposure as a leading contributor to bone loss in postmenopausal women, expanding previous findings of air pollution-related bone damage. Funding US National Institutes of Health.
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Affiliation(s)
- Diddier Prada
- Department of Environmental Health Science, Mailman School of Public Health, Columbia University, New York, NY, USA
- Instituto Nacional de Cancerología – México, Mexico City, Mexico
| | - Carolyn J. Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Allison Kupsco
- Department of Environmental Health Science, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - James D. Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Duanping Liao
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jeff D. Yanosky
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Andrea Ramirez
- Instituto Nacional de Cancerología – México, Mexico City, Mexico
| | - Jean Wactawski-Wende
- School of Public Health and Health Professions, University at Buffalo, State University of New York, New York, USA
| | - Yike Shen
- Department of Environmental Health Science, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Gary Miller
- Department of Environmental Health Science, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Iuliana Ionita-Laza
- Department of Environmental Health Science, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health and Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Science, Mailman School of Public Health, Columbia University, New York, NY, USA
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Zhang RD, Chen C, Wang P, Fang Y, Jiang LQ, Fang X, Zhao Y, Ni J, Wang DG, Pan HF. Air pollution exposure and auto-inflammatory and autoimmune diseases of the musculoskeletal system: a review of epidemiologic and mechanistic evidence. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023:10.1007/s10653-023-01495-x. [PMID: 36735155 DOI: 10.1007/s10653-023-01495-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Auto-inflammatory and autoimmune diseases of the musculoskeletal system can be perceived as a spectrum of rheumatic diseases, with the joints and connective tissues are eroded severely that progressively develop chronic inflammation and lesion. A wide range of risk factors represented by genetic and environmental factors have been uncovered by population-based surveys and experimental studies. Lately, the exposure to air pollution has been found to be potentially involved in the mechanisms of occurrence or development of such diseases, principally manifest in oxidative stress, local and systemic inflammation, and epigenetic modifications, as well as the mitochondrial dysfunction, which has been reported to participate in the intermediate links. The lungs might serve as a starting area of air pollutants, which would cause oxidative stress-induced bronchial-associated lymphoid tissue (iBALT) to further to influence T, B cells, and the secretion of pro-inflammatory cytokines. The binding of aromatic hydrocarbon receptor (AhR) to the corresponding contaminant ligands tends to regulate the reaction of Th17 and Tregs. Furthermore, air pollution components might spur on immune and inflammatory responses by damaging mitochondria that could interact with and exacerbate oxidative stress and pro-inflammatory cytokines. In this review, we focused on the association between air pollution and typical auto-inflammatory and autoimmune diseases of the musculoskeletal system, mainly including osteoarthritis (OA), rheumatoid arthritis (RA), spondyloarthritis (SpA) and juvenile idiopathic arthritis (JIA), and aim to collate the mechanisms involved and the potential channels. A complete summary and in-depth understanding of the autoimmune and inflammatory effects of air pollution exposure should hopefully contribute new perspectives on how to formulate better public health policies to alleviate the adverse health effects of air pollutants.
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Affiliation(s)
- Ruo-Di Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Cong Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Peng Wang
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Yang Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Ling-Qiong Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Xi Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Yan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - De-Guang Wang
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Department of Nephrology, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China.
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8
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Ronaldson A, Arias de la Torre J, Ashworth M, Hansell AL, Hotopf M, Mudway I, Stewart R, Dregan A, Bakolis I. Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study. Front Public Health 2022; 10:1035415. [PMID: 36530697 PMCID: PMC9755180 DOI: 10.3389/fpubh.2022.1035415] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/28/2022] [Indexed: 12/03/2022] Open
Abstract
Background Long-term exposure to air pollution concentrations is known to be adversely associated with a broad range of single non-communicable diseases, but its role in multimorbidity has not been investigated in the UK. We aimed to assess associations between long-term air pollution exposure and multimorbidity status, severity, and patterns using the UK Biobank cohort. Methods Multimorbidity status was calculated based on 41 physical and mental conditions. We assessed cross-sectional associations between annual modeled particulate matter (PM)2.5, PMcoarse, PM10, and nitrogen dioxide (NO2) concentrations (μg/m3-modeled to residential address) and multimorbidity status at the baseline assessment (2006-2010) in 364,144 people (mean age: 52.2 ± 8.1 years, 52.6% female). Air pollutants were categorized into quartiles to assess dose-response associations. Among those with multimorbidity (≥2 conditions; n = 156,395) we assessed associations between air pollutant exposure levels and multimorbidity severity and multimorbidity patterns, which were identified using exploratory factor analysis. Associations were explored using generalized linear models adjusted for sociodemographic, behavioral, and environmental indicators. Results Higher exposures to PM2.5, and NO2 were associated with multimorbidity status in a dose-dependent manner. These associations were strongest when we compared the highest air pollution quartile (quartile 4: Q4) with the lowest quartile (Q1) [PM2.5: adjusted odds ratio (adjOR) = 1.21 (95% CI = 1.18, 1.24); NO2: adjOR = 1.19 (95 % CI = 1.16, 1.23)]. We also observed dose-response associations between air pollutant exposures and multimorbidity severity scores. We identified 11 multimorbidity patterns. Air pollution was associated with several multimorbidity patterns with strongest associations (Q4 vs. Q1) observed for neurological (stroke, epilepsy, alcohol/substance dependency) [PM2.5: adjOR = 1.31 (95% CI = 1.14, 1.51); NO2: adjOR = 1.33 (95% CI = 1.11, 1.60)] and respiratory patterns (COPD, asthma) [PM2.5: adjOR = 1.24 (95% CI = 1.16, 1.33); NO2: adjOR = 1.26 (95% CI = 1.15, 1.38)]. Conclusions This cross-sectional study provides evidence that exposure to air pollution might be associated with having multimorbid, multi-organ conditions. Longitudinal studies are needed to further explore these associations.
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Affiliation(s)
- Amy Ronaldson
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Jorge Arias de la Torre
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of Leon, Leon, Spain
| | - Mark Ashworth
- School of Life Course and Population Sciences, King's College London, London, United Kingdom
| | - Anna L. Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, United Kingdom
- National Institute for Health and Care Research, Health Protection Research Unit (HPRU) in Environmental Exposures and Health at the University of Leicester, Leicester, United Kingdom
| | - Matthew Hotopf
- Department of Psychological Medicine, King's College London, IoPPN and South London and Maudsley NHS Foundation Trust, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Ian Mudway
- National Institute for Health and Care Research, Health Protection Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Rob Stewart
- Department of Psychological Medicine, King's College London, IoPPN and South London and Maudsley NHS Foundation Trust, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Alex Dregan
- Department of Psychological Medicine, King's College London, IoPPN and South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Ioannis Bakolis
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
- Department of Biostatistics and Health Informatics, IoPPN, King's College London, London, United Kingdom
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Fitriyah A, Nikolenko DA, Abdelbasset WK, Maashi MS, Jalil AT, Yasin G, Abdulkadhm MM, Samieva GU, Lafta HA, Abed AM, Amaral LS, Mustafa YF. Exposure to ambient air pollution and osteoarthritis; an animal study. CHEMOSPHERE 2022; 301:134698. [PMID: 35472612 DOI: 10.1016/j.chemosphere.2022.134698] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/16/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
Exposure to air pollution has been associated with many adverse health effects. However, the evidence on the effects on osteoarthritis (OA) is scarce and the potential mechanism is unclear yet. Therefore, this study assessed the effect of exposure to air pollution (gaseous and particulate matter) and OA based on an animal model. We used four groups of female rats, including i) exposure to PMs and gaseous pollutants, ii) exposure only to gaseous pollutants, iii) exposure only to PMs, and iv) control (unexposed) group. The OA biomarkers, i.e., osteocalcin, cartilage oligomeric protein (COMP), and N-Telopeptides of Type I Collagen (NTX-I) and cytokines were measured in the plasma to detect the effect of exposure to ambient air pollution on OA in this animal model. The forced jogging exercises for 1 h and 5 days per week were used to record the physical activities. The median (interquartile range) concentrations of PM2.5 and PM10 were 35.9 (15.4) and 47.5 (22.5) μg/m3, respectively. The median (interquartile range (IQR)) of PM2.5, PM10, CO, NO2, SO2 and O3 in the inlet ambient air were 36.9 (16.9), 51.7 (23.6) μg/m3, 16.1 (12.5) ppm, 413.7 (177.1), 334.2 (218.8) and 208.9 (113.1) ppb, respectively. The osteocalcin was significantly lower in PM as well as PM-gaseous exposure groups compared to control. Moreover, expressions of COMP were increased significantly in the PMs and exposure group compared to the control. For the PMs-gaseous exposure group, the COMP expressions were the highest compared to the control group. Similar results were observed for NTX-I. Exposure to PM and gaseous pollutants significantly increased plasma cytokine levels compared to control. Overall, our study showed a significant effect of exposure to PMs and PMs-gaseous exposure with OA in rats. Moreover, we observed a synergistic effect of mixed gaseous-PMs exposure compared to PMs and gaseous pollutants separately.
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Affiliation(s)
- Abyadul Fitriyah
- Faculty of Animal Science, Universitas Nahdlatul Wathan Mataram, Mataram, Indonesia.
| | | | - Walid Kamal Abdelbasset
- Department of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia; Department of Physical Therapy, Kasr Al-Aini Hospital, Cairo University, Giza, Egypt
| | - Marwah Suliman Maashi
- Medical Laboratory Science Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Abduladheem Turki Jalil
- Faculty of Biology and Ecology, Yanka Kupala State University of Grodno, 230023, Grodno, Belarus; College of Technical Engineering, The Islamic University, Najaf, Iraq
| | - Ghulam Yasin
- Department of Botany University, Bahauddin Zakariya University, Multan, Pakistan
| | | | - G U Samieva
- Doctor of Medical Sciences, Department of Pathologic Physiology, Samarkand State Medical Institute, Samarkand, Uzbekistan
| | | | - Azher M Abed
- Department of Air Conditioning and Refrigeration, Al-Mustaqbal University College, Babylon, Iraq
| | - Larissa Souza Amaral
- Department of Bioengineering, University of São Paulo (USP) and Minas Gerais State University (UEMG), Frutal, Minas Gerais, Brazil
| | - Yasser Fakri Mustafa
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul, 41001, Iraq
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Study on Enhanced Methods for Calculating NH 3 Emissions from Fertilizer Application in Agriculture Sector. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111551. [PMID: 34770065 PMCID: PMC8583250 DOI: 10.3390/ijerph182111551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 10/30/2021] [Accepted: 11/01/2021] [Indexed: 11/23/2022]
Abstract
Ammonia is a representative PM-2.5 secondary product, and the need for management is emerging as health and living damage caused by fine particulate matter worsens. The main source of ammonia is the agricultural sector, and in Korea, 79% of the total ammonia emissions are emitted from the agricultural sector. Among them, there is high uncertainty about how to calculate emissions from ammonia discharged from fertilizer use, and inventory in the U.S. and Europe is borrowed, so inventory needs to be improved according to the situation in Korea. In this study, the ammonia inventory in the agricultural sector in Korea and abroad was examined, and additional activity data that can be used were reviewed. In addition, in order to improve the emission calculation method, the emission was calculated in three ways by different factors. As a result, it was confirmed that the amount of discharge varies depending on the type of soil use or whether cultivated crops are considered, and the possibility of excessive fertilizer top-dress by farmers was confirmed. In order to calculate the emission at a more detailed level based on this study, basic data such as fertilizer input method and regional distribution of crops should be systematically collected, and related follow-up studies should be conducted.
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