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Chen J, Zhu S, Wang P, Zheng Z, Shi S, Li X, Xu C, Yu K, Chen R, Kan H, Zhang H, Meng X. Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models. Sci Total Environ 2024; 926:171831. [PMID: 38521267 DOI: 10.1016/j.scitotenv.2024.171831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 03/25/2024]
Abstract
In Great Britain, limited studies have employed machine learning methods to predict air pollution especially ozone (O3) with high spatiotemporal resolution. This study aimed to address this gap by developing random forest models for four key pollutants (fine and inhalable particulate matter [PM2.5 and PM10], nitrogen dioxide [NO2] and O3) by integrating multiple-source predictors at a daily level and 1-km resolution. The out-of-bag R2 (root mean squared error, RMSE) between predictions from models and measurements from monitoring stations in 2006-2013 was 0.85 (3.63 μg/m3) for PM2.5, 0.77 (6.00 μg/m3) for PM10, 0.85 (9.71 μg/m3) for NO2, and 0.85 (9.39 μg/m3) for maximum daily 8-h average (MDA8) O3 at daily level, and the predicting accuracy was higher at monthly and annual level. The high-resolution predictions captured characterized spatiotemporal patterns of the four pollutants. Higher concentrations of PM2.5, PM10, and NO2 were distributed in densely populated southern regions of Great Britain while O3 showed an inverse spatial pattern in general, which could not be fully depicted by monitoring stations. Therefore, predictions produced in this study could improve exposure assessment with less exposure misclassification and flexible exposure windows for future epidemiological studies to investigate the impact of air pollution across Great Britain.
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Affiliation(s)
- Jiaxin Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Shengqiang Zhu
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, 200438, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Zhonghua Zheng
- Department of Earth and Environmental Sciences, The University of Manchester, Manchester, UK
| | - Su Shi
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Xinyue Li
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Chang Xu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Kexin Yu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Renjie Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China.
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China; Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China.
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Cai X, Song Q, Meng X, Li K, Shi S, Jin L, Kan H, Wang S. Epigenome-wide association study on ambient PM 2.5 exposure in Han Chinese, the NSPT study. Environ Res 2024; 247:118276. [PMID: 38246299 DOI: 10.1016/j.envres.2024.118276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/02/2024] [Accepted: 01/18/2024] [Indexed: 01/23/2024]
Abstract
Ambient PM2.5 exposure has been recognized as a major health risk and related to aging, cardiovascular, respiratory and neurologic diseases, and cancer. However, underlying mechanism of epigenetic alteration and regulated pathways still remained unclear. The study on methylome effect of PM2.5 exposure was quite limited in Chinese population, and cohort-based study was absent. The study included blood-derived DNA methylation for 3365 Chinese participants from the NSPT cohort. We estimated individual PM2.5 exposure level of short-medium-, medium- and long-term, based on a validated prediction model. We preformed epigenome-wide association studies to estimate the links between PM2.5 exposure and DNA methylation change, as well as stratification and sensitive analysis to examined the robustness of the association models. A systematic review was conducted to obtain the previously published CpGs and examined for replication. We also conducted comparison on the DNA methylation variation corresponding to different time windows. We further conducted gene function analysis and pathway enrichment analysis to reveal related biological response. We identified a total of 177 CpGs and 107 DMRs associated with short-medium-term PM2.5 exposure, at a strict genome-wide significance (P < 5 × 10-8). The effect sizes on most CpGs tended to cease with the exposure of extended time scale. Associated markers and aligned genes were related to aging, immunity, inflammation and carcinogenesis. Enriched pathways were mostly involved in cell cycle and cell division, signal transduction, inflammatory pathway. Our study is the first EWAS on PM2.5 exposure conducted in large-scale Han Chinese cohort and identified associated DNA methylation change on CpGs and regions, as well as related gene functions and pathways.
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Affiliation(s)
- Xiyang Cai
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qinglin Song
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xia Meng
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Kaixuan Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Su Shi
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China; Taizhou Institute of Health Sciences, Fudan University, Taizhou, Jiangsu, China
| | - Haidong Kan
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, 201102, China.
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Taizhou Institute of Health Sciences, Fudan University, Taizhou, Jiangsu, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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3
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Lei J, Liu C, Meng X, Sun Y, Huang S, Zhu Y, Gao Y, Shi S, Zhou L, Luo H, Kan H, Chen R. Associations between fine particulate air pollution with small-airway inflammation: A nationwide analysis in 122 Chinese cities. Environ Pollut 2024; 344:123330. [PMID: 38199484 DOI: 10.1016/j.envpol.2024.123330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/24/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024]
Abstract
Alveolar nitric oxide is a non-invasive indicator of small-airway inflammation, a key pathophysiologic mechanism underlying lower respiratory diseases. However, no epidemiological studies have investigated the impact of fine particulate matter (PM2.5) exposure on the concentration of alveolar nitric oxide (CANO). To explore the associations between PM2.5 exposure in multiple periods and CANO, we conducted a nationwide cross-sectional study in 122 Chinese cities between 2019 and 2021. Utilizing a satellite-based model with a spatial resolution of 1 × 1 km, we matched long-term, mid-term, and short-term PM2.5 exposure for 28,399 individuals based on their home addresses. Multivariable linear regression models were applied to estimate the associations between PM2.5 at multiple exposure windows and CANO. Stratified analyses were also performed to identify potentially vulnerable subgroups. We found that per interquartile range (IQR) unit higher in 1-year average, 1-month average, and 7-day average PM2.5 concentration was significantly associated with increments of 17.78% [95% confidence interval (95%CI): 12.54%, 23.26%], 8.76% (95%CI: 7.35%, 10.19%), and 4.00% (95%CI: 2.81%, 5.20%) increment in CANO, respectively. The exposure-response relationship curves consistently increased with the slope becoming statistically significant beyond 20 μg/m3. Males, children, smokers, individuals with respiratory symptoms or using inhaled corticosteroids, and those living in Southern China were more vulnerable to PM2.5 exposure. In conclusion, our study provided novel evidence that PM2.5 exposure in long-term, mid-term, and short-term periods could significantly elevate small-airway inflammation represented by CANO. Our results highlight the significance of CANO measurement as a non-invasive tool for early screening in the management of PM2.5-related inflammatory respiratory diseases.
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Affiliation(s)
- Jian Lei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China; Department of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yiqing Sun
- Eberly College of Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Suijie Huang
- Guangzhou Homesun Medical Technology Co., Ltd, Guangdong, 518040, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, 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, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, 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, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
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Cai X, Li K, Meng X, Song Q, Shi S, Li W, Niu Y, Jin L, Kan H, Wang S. Epigenome-wide association study on short-, intermediate- and long-term ozone exposure in Han Chinese, the NSPT study. J Hazard Mater 2024; 463:132780. [PMID: 37898092 DOI: 10.1016/j.jhazmat.2023.132780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 10/09/2023] [Accepted: 10/12/2023] [Indexed: 10/30/2023]
Abstract
Epidemiological and epigenetic studies have acknowledged ambient ozone exposure associated with inflammatory and cardiovascular disease. However, the molecular mechanisms still remained unclear, and epigenome-wide analysis in cohort were lacking, especially in Chinese. We included blood-derived DNA methylation for 3365 Chinese participants from the NSPT cohort and estimated individual ozone exposure level of short-, intermediate- and long-term, based on a validated prediction model. We performed epigenome-wide association studies which identified 59 CpGs and 30 DMRs at a strict genome-wide significance (P < 5 ×10-8). We also conducted comparison on the DNA methylation alteration corresponding to different time windows, and observed an enhanced differentiated methylation trend for intermediate- and long-term exposure, while the short-term exposure associated methylation changes did not retain. The targeted genes of methylation alteration were involved in mechanism related to aging, inflammation disease, metabolic syndrome, neurodevelopmental disorders, and oncogenesis. Underlying pathways were enriched in biological activities including telomere maintenance process, DNA damage response and megakaryocyte differentiation. In conclusion, our study is the first EWAS on ozone exposure conducted in large-scale Han Chinese cohort and identified associated DNA methylation change on CpGs and regions, as well as related gene functions and pathways.
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Affiliation(s)
- Xiyang Cai
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kaixuan Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xia Meng
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Qinglin Song
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Su Shi
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Wenran Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yue Niu
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China; Taizhou Institute of Health Sciences, Fudan University, Taizhou, Jiangsu, China
| | - Haidong Kan
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China.
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Taizhou Institute of Health Sciences, Fudan University, Taizhou, Jiangsu, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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Wang S, Shi S, Huang Y, Huang H, Zhong VW. Severity of abdominal obesity and cardiometabolic diseases in US adults. Public Health 2024; 227:154-162. [PMID: 38232563 DOI: 10.1016/j.puhe.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/13/2023] [Accepted: 12/05/2023] [Indexed: 01/19/2024]
Abstract
OBJECTIVES To determine the prevalence of cardiometabolic diseases (CMDs) among adults with abdominal obesity and to evaluate the necessity of differentiating severity of abdominal obesity. STUDY DESIGN Cross-sectional study and prospective cohort study. METHODS National Health and Nutrition Examination Survey (NHANES) data between 2011 and 2020 were included for cross-sectional analyses. Class I, II and III abdominal obesity were created by dividing waist circumference within sex-specific abdominal obesity range into tertiles. Age-standardized prevalence of CMDs was estimated and differences by severity of abdominal obesity were compared using Poisson regressions. Prospective analyses were performed using NHANES data between 1988 and 2018 with linked mortality data. Cox proportional hazards models were used to assess the association between severity of abdominal obesity and mortality. RESULTS Among 23,168 adults included (mean age: 47.8 years, 49.3% men), 13,307 (57.4%) had abdominal obesity. Among adults with abdominal obesity, the estimated prevalence of diabetes was 17.3% (95% confidence interval: 16.3%, 18.2%), hypertension 39.3% (38.2%, 40.3%), dyslipidemia 59.5% (58.0%, 61.1%), cardiovascular disease 9.0% (8.3%, 9.8%), chronic kidney disease 16.8% (15.9%, 17.7%) and non-alcoholic fatty liver disease 39.9% (38.4%, 41.4%). The estimated prevalence was 55.5% (53.8%, 57.2%) for having ≥2 CMDs. Compared with class I abdominal obesity, class III abdominal obesity was related to a 43%-184% higher prevalence of CMDs and a 44% higher risk of all-cause mortality. CONCLUSIONS The prevalence of CMDs was high and multimorbidity of CMDs was common among US adults with abdominal obesity. The prevalence of CMDs and risk of mortality differed significantly by severity of abdominal obesity.
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Affiliation(s)
- S Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - S Shi
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Huang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Huang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - V W Zhong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Zhu Y, Chen R, Liu C, Niu Y, Meng X, Shi S, Yu K, Huang G, Xie L, Lin S, Huang M, Huang M, Chen S, Kan H, Liu F, Chu C. Short-term exposure to ozone may trigger the onset of Kawasaki disease: An individual-level, case-crossover study in East China. Chemosphere 2024; 349:140828. [PMID: 38040257 DOI: 10.1016/j.chemosphere.2023.140828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 11/14/2023] [Accepted: 11/26/2023] [Indexed: 12/03/2023]
Abstract
Kawasaki disease (KD) is an acute, systemic vasculitis that primarily affects children aged under the age of 5. While environmental factors have been linked to the development of KD, the specific role of ozone (O3) pollution in triggering the disease onset remains uncertain. This study aimed to examine the associations between short-term O3 exposure and KD onset in children. Utilizing a satellite-based model with a spatial resolution of 1 × 1 km, we matched 1808 KD patients (out of a total of 6115 eligible individuals) to pre-onset ozone exposures based on their home addresses in East China between 2013 and 2020. Our findings revealed a significant association of O3 exposure with KD onset on the day of onset (lag 0 day). However, this association attenuated and became statistically insignificant on lag 1 and lag 2 days. Each interquartile range (52.32 μg/m3) increase in O3 concentration at lag 0 day was associated with a 16.2% (95% CI: 3.6%, 30.3%) increased risk of KD onset. The E-R curve for O3 exhibited a plateau at low concentrations and then increased rapidly at concentrations ≥75 μg/m3. Notably, these associations were stronger in male children, younger children (<2 years of age) and patients experiencing KD onset during the warm season. This study provides novel epidemiological evidence indicating that short-term O3 exposure is associated with an increased risk of childhood KD onset. These findings emphasized the importance of considering this environmental risk factor in KD prevention strategies.
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Affiliation(s)
- Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Kexin Yu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Guoying Huang
- Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China
| | - Liping Xie
- Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China
| | - Siyuan Lin
- Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China
| | - Min Huang
- Department of Cardiology, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Meirong Huang
- Pediatric Heart Center, Shanghai Children's Medical Center, Shanghai, China
| | - Sun Chen
- Department of Pediatric Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China; Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China
| | - Fang Liu
- Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
| | - Chen Chu
- Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
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Xing Z, Yang T, Shi S, Meng X, Chai D, Liu W, Tong Y, Wang Y, Ma Y, Pan M, Cui J, Long H, Sun T, Chen R, Guo Y. Combined effect of ozone and household air pollution on COPD in people aged less than 50 years old. Thorax 2023; 79:35-42. [PMID: 37852778 PMCID: PMC10804043 DOI: 10.1136/thorax-2022-219691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 09/14/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVES Air pollution has been suggested as an important risk factor for chronic obstructive pulmonary disease (COPD); however, evidence of interactive effects on COPD between different factors was sparse, especially for young adults. We aimed to assess the combined effects of ambient ozone (O3) and household air pollution on COPD in young individuals. METHODS We conducted a population-based study of residents aged 15-50 years in the low-income and middle-income regions of western China. We used multivariable logistic regression models to examine the associations between long-term ozone exposure and COPD in young individuals. RESULTS A total of 6537 young cases were identified among the participants, with a COPD prevalence rate of 7.8 (95% CI 7.2% to 8.5%), and most young COPD individuals were asymptomatic. Exposure to household air pollution was associated with COPD in young patients after adjustment for other confounding factors (OR 1.82, 95% CI 1.41 to 2.37). We also found positive associations of COPD with O3 per IQR increase of 20 ppb (OR 1.92, 95% CI 1.59 to 2.32). The individual effects of household air pollution and O3 were 1.68 (95% CI 1.18 to 2.46) and 1.55 (95% CI 0.99 to 2.43), respectively, while their joint effect was 3.28 (95% CI 2.35 to 4.69) with the relative excess risk due to interaction of 1.05 (95% CI 0.33 to 1.78). CONCLUSIONS This study concludes that exposure to ambient O3 and household air pollution might be important risk factors for COPD among young adults, and simultaneous exposure to high levels of the two pollutants may intensify their individual effects.
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Affiliation(s)
- Zhenzhen Xing
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Peking University Fifth School of Clinical Medicine, Peking University, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine & National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Su Shi
- 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, China
| | - Xia Meng
- 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, China
| | - Di Chai
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - WeiMing Liu
- Department of Intensive Care Medicine, Beijing Boai Hospital, Rehabilitation Research Center, Beijing, China
| | - Yaqi Tong
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuxia Wang
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yali Ma
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - MingMing Pan
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jia Cui
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Huanyu Long
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Tieying Sun
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 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, China
| | - YanFei Guo
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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8
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Shi S, Wang W, Li X, Xu C, Lei J, Jiang Y, Zhang L, He C, Xue T, Chen R, Kan H, Meng X. Evolution in disparity of PM 2.5 pollution in China. Eco Environ Health 2023; 2:257-263. [PMID: 38435353 PMCID: PMC10902506 DOI: 10.1016/j.eehl.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/06/2023] [Accepted: 08/28/2023] [Indexed: 03/05/2024]
Abstract
The spatial disparity of air pollutants is one of the key influential factors for environmental inequality. We quantitatively evaluated the evolution of PM2.5 spatial disparity in China during 2013-2020, and investigated the associations between PM2.5 spatial disparity and economic indicators. Differences in PM2.5 between more- and less-polluted cities declined over time, suggesting decreased absolute disparity. However, the more polluted cities in 2013 remained so in 2017 and 2020, and vice versa, indicating persistent relative disparity. PM2.5 pollution levels increased with higher GDP per capita in less-developed areas of China, but such negative effects weakened over time, while economic development tended to promote cleaner air in developed areas of China. Therefore, policies to improve air quality and promote economic development simultaneously are needed in China to reduce the disparity of air pollution and promote all people to enjoy environmental equality.
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Affiliation(s)
- Su Shi
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Xinyue Li
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Chang Xu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Jian Lei
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Yixuan Jiang
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Lina Zhang
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Cheng He
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
- Institute of Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health (GmbH), Munich D-85764, Germany
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Renjie Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China
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9
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Yin P, Luo H, Gao Y, Liu W, Shi S, Li X, Meng X, Kan H, Zhou M, Li G, Chen R. Criteria air pollutants and diabetes mortality classified by different subtypes and complications: A nationwide, case-crossover study. J Hazard Mater 2023; 460:132412. [PMID: 37696209 DOI: 10.1016/j.jhazmat.2023.132412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/09/2023] [Accepted: 08/24/2023] [Indexed: 09/13/2023]
Abstract
The associations between air pollution and diabetes mortality of different subtypes and complications were largely unclear. We performed an individual-level, time-stratified case-crossover study among over 0.9 million diabetes deaths from all administrative regions of Chinese mainland during 2013-2019. Daily concentrations of fine particles (PM2.5), coarse particles (PM2.5-10), nitrogen dioxide (NO2) and ozone (O3) were obtained for each decedent using high-resolution prediction models. Conditional logistic regression models were utilized to analyze the data. Each interquartile range increment in PM2.5, PM2.5-10, NO2 and O3 concentrations on lag 0-2 d increased the risks of overall diabetes mortality by 2.81 %, 1.92 %, 3.96 % and 2.15 %, respectively. Type 2 diabetes had stronger associations with air pollution than type 1 diabetes. Air pollutants were associated with diabetic ketoacidosis and diabetic nephropathy, but not other complications. The exposure-response curves were approximately linear with a plateau at higher concentrations of PM2.5, PM2.5-10, and NO2, while the associations for O3 appear to be statistically significant beyond 60 μg/m3. This nationwide study reinforces the evidence of higher risks of acute diabetic events following short-term air pollution exposure. We identified differential effects of air pollutants on various subtypes and complications of diabetes, which require further mechanistic investigations.
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Affiliation(s)
- Peng Yin
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huihuan Luo
- 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, 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, China
| | - Wei Liu
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Su Shi
- 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, China
| | - Xinyue 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, China
| | - Xia Meng
- 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, 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, China
| | - Maigeng Zhou
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guanglin Li
- Chinese Preventive Medicine Association, Beijing, 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, China.
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10
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. First Dark Matter Search with Nuclear Recoils from the XENONnT Experiment. Phys Rev Lett 2023; 131:041003. [PMID: 37566859 DOI: 10.1103/physrevlett.131.041003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/22/2023] [Indexed: 08/13/2023]
Abstract
We report on the first search for nuclear recoils from dark matter in the form of weakly interacting massive particles (WIMPs) with the XENONnT experiment, which is based on a two-phase time projection chamber with a sensitive liquid xenon mass of 5.9 ton. During the (1.09±0.03) ton yr exposure used for this search, the intrinsic ^{85}Kr and ^{222}Rn concentrations in the liquid target are reduced to unprecedentedly low levels, giving an electronic recoil background rate of (15.8±1.3) events/ton yr keV in the region of interest. A blind analysis of nuclear recoil events with energies between 3.3 and 60.5 keV finds no significant excess. This leads to a minimum upper limit on the spin-independent WIMP-nucleon cross section of 2.58×10^{-47} cm^{2} for a WIMP mass of 28 GeV/c^{2} at 90% confidence level. Limits for spin-dependent interactions are also provided. Both the limit and the sensitivity for the full range of WIMP masses analyzed here improve on previous results obtained with the XENON1T experiment for the same exposure.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - F Agostini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Bazyk
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - E J Brookes
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | | | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | | | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Flierman
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - C Fuselli
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Guan
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - N F Hood
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Lombardi
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - R Singh
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - V H S Wu
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Y Xing
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- INFN-Ferrara and Dip. di Fisica e Scienze della Terra, Università di Ferrara, 44122 Ferrara, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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11
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Chen T, Shi S, Li X, Zhou L, Yu Y, Cai Y, Wang J, Kan H, Xu Y, Huang C, Tan Y, Meng X, Zhao Z. Improved ambient air quality is associated with decreased prevalence of childhood asthma and infancy shortly after weaning is a sensitive exposure window. Allergy 2023. [PMID: 37458141 DOI: 10.1111/all.15815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 04/30/2023] [Accepted: 05/22/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The urban ambient air quality has been largely improved in the past decade. It is unknown whether childhood asthma prevalence is still increasing in ever top-ranking city of Shanghai, whether the improved air quality is beneficial for children's asthma and what time window of exposure plays critical roles. METHODS Using a repeat cross-sectional design, we analyzed the association between early life exposure to particles and wheezing/asthma in each individual and combined surveys in 2011 and 2019, respectively, in 11,825 preschool children in Shanghai. RESULTS A significantly lower prevalence of doctor-diagnosed asthma (DDA) (6.6% vs. 10.5%, p < 0.001) and wheezing (10.5% vs. 23.2%, p < 0.001) was observed in 2019 compared to 2011. Exposure to fine particulate matter (PM2.5 ), coarse particles (PM2.5-10 ) and inhalable particles (PM10 ) was decreased in 2019 by 6.3%, 35.4%, and 44.7% in uterus and 24.3%, 20.2%, and 31.8% in infancy, respectively. Multilevel log-binomial regression analysis showed exposure in infancy had independent association with wheezing/DDA adjusting for exposure in uterus. For each interquartile range (IQR) increase of infancy PM2.5 , PM2.5-10 and PM10 exposure, the odds ratios were 1.39 (95% confidence interval (CI): 1.24-1.56), 1.51 (95% CI:1.15-1.98) and 1.53 (95% CI:1.27-1.85) for DDA, respectively. The distributed lag non-linear model showed the sensitive exposure window (SEW) was 5.5-11 months after birth. Stratified analysis showed the SEWs were at or shortly after weaning, but only in those with <6 months of exclusive breastfeeding. CONCLUSIONS Improved ambient PM benefits in decreasing childhood asthma prevalence. We firstly reported the finding of SEW to PM at or closely after weaning on childhood asthma.
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Affiliation(s)
- Tianyi Chen
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Su Shi
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xinyue Li
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Lu Zhou
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yongfu Yu
- Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Yunfei Cai
- Department of General Management and Statistics, Shanghai Environment Monitoring Center, Shanghai, China
| | - Jing Wang
- Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Yanyi Xu
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Yongqiang Tan
- Department of Pediatrics, Chongming Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Xia Meng
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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12
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Shi S, Wen G, Lei C, Chang J, Yin X, Liu X, Huang S. A DNA Replication Stress-Based Prognostic Model for Lung Adenocarcinoma. Acta Naturae 2023; 15:100-110. [PMID: 37908773 PMCID: PMC10615186 DOI: 10.32607/actanaturae.25112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 09/25/2023] [Indexed: 11/02/2023] Open
Abstract
Tumor cells endure continuous DNA replication stress, which opens the way to cancer development. Despite previous research, the prognostic implications of DNA replication stress on lung adenocarcinoma (LUAD) have yet to be investigated. Here, we aimed to investigate the potential of DNA replication stress-related genes (DNARSs) in predicting the prognosis of individuals with LUAD. Differentially expressed genes (DEGs) originated from the TCGA-LUAD dataset, and we constructed a 10-gene LUAD prognostic model based on DNARSs-related DEGs (DRSDs) using Cox regression analysis. The receiver operating characteristic (ROC) curve demonstrated excellent predictive capability for the LUAD prognostic model, while the Kaplan-Meier survival curve indicated a poorer prognosis in a high-risk (HR) group. Combined with clinical data, the Riskscore was found to be an independent predictor of LUAD prognosis. By incorporating Riskscore and clinical data, we developed a nomogram that demonstrated a capacity to predict overall survival and exhibited clinical utility, which was validated through the calibration curve, ROC curve, and decision curve analysis curve tests, confirming its effectiveness in prognostic evaluation. Immune analysis revealed that individuals belonging to the low-risk (LR) group exhibited a greater abundance of immune cell infiltration and higher levels of immune function. We calculated the immunopheno score and TIDE scores and tested them on the IMvigor210 and GSE78220 cohorts and found that individuals categorized in the LR group exhibited a higher likelihood of deriving therapeutic benefits from immunotherapy intervention. Additionally, we predicted that patients classified in the HR group would demonstrate enhanced sensitivity to Docetaxel using anti-tumor drugs. To summarize, we successfully developed and validated a prognostic model for LUAD by incorporating DNA replication stress as a key factor.
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Affiliation(s)
- S. Shi
- Department of Cardiothoracic Surgery, The People’s Hospital of Dazu District, Chongqing, 402360 China
| | - G. Wen
- Department of Cardiothoracic Surgery, The People’s Hospital of Dazu District, Chongqing, 402360 China
| | - C. Lei
- Department of Cardiothoracic Surgery, The People’s Hospital of Dazu District, Chongqing, 402360 China
| | - J. Chang
- Department of Cardiothoracic Surgery, The People’s Hospital of Dazu District, Chongqing, 402360 China
| | - X. Yin
- Department of Cardiothoracic Surgery, The People’s Hospital of Dazu District, Chongqing, 402360 China
| | - X. Liu
- Department of Cardiothoracic Surgery, The People’s Hospital of Dazu District, Chongqing, 402360 China
| | - S. Huang
- Department of Orthopedics, The People’s Hospital of Dazu District, Chongqing, 402360 China
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13
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Aprile E, Abe K, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Pellegrini Q, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Pollmann TR, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. Searching for Heavy Dark Matter near the Planck Mass with XENON1T. Phys Rev Lett 2023; 130:261002. [PMID: 37450817 DOI: 10.1103/physrevlett.130.261002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 07/18/2023]
Abstract
Multiple viable theoretical models predict heavy dark matter particles with a mass close to the Planck mass, a range relatively unexplored by current experimental measurements. We use 219.4 days of data collected with the XENON1T experiment to conduct a blind search for signals from multiply interacting massive particles (MIMPs). Their unique track signature allows a targeted analysis with only 0.05 expected background events from muons. Following unblinding, we observe no signal candidate events. This Letter places strong constraints on spin-independent interactions of dark matter particles with a mass between 1×10^{12} and 2×10^{17} GeV/c^{2}. In addition, we present the first exclusion limits on spin-dependent MIMP-neutron and MIMP-proton cross sections for dark matter particles with masses close to the Planck scale.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Bazyk
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - E J Brookes
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | | | - M Clark
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | | | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Flierman
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - C Fuselli
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Guan
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - N F Hood
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Lombardi
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - Q Pellegrini
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - T R Pollmann
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - R Singh
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - V H S Wu
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Y Xing
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- INFN-Ferrara and Dipartimento di Fisica e Scienze della Terra, Università di Ferrara, 44122 Ferrara, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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Yang L, Zhu Y, Zhao B, Wan W, Shi S, Xuan C, Yu C, Mao W, Yan J. Long-term cardiometabolic effects of ambient ozone pollution in a large Chinese population. Ecotoxicol Environ Saf 2023; 261:115115. [PMID: 37295302 DOI: 10.1016/j.ecoenv.2023.115115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 06/04/2023] [Accepted: 06/05/2023] [Indexed: 06/12/2023]
Abstract
Limited studies investigated the effects of long-term ozone exposure on cardiometabolic health. We aimed to examine the association of long-term ozone exposure with a range of cardiometabolic diseases, as well as the subclinical indicators in Eastern China. The study included 202,042 adults living in 11 prefecture-level areas in Zhejiang Province between 2014 and 2021. Using a satellite-based model with a 1 × 1 km spatial resolution, we estimated residential 5-year average ozone exposures for each subject. Mixed-effects logistic and linear regression models were applied to explore the associations of ozone exposure with cardiometabolic diseases and subclinical indicators, respectively. We found that a 9% [95% confidence interval (95% CI): 7-12%] higher in odds of cardiometabolic disease per 10 μg/m3 increase in ozone exposure. Specifically, we also found higher prevalence of cardiovascular diseases (15%), stroke (19%), hypertension (7%), dyslipidemia (15%), and hypertriglyceridemia (9%) associated with ozone exposure. However, we did not find significant associations between ozone exposure and coronary heart disease, myocardial infarction, or diabetes mellitus. Long-term ozone exposures were also significantly associated with adverse changes in systolic blood pressure, diastolic blood pressure, total serum cholesterol, triglyceride, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, glucose concentration, and body mass index. Our results showed that people with lower education levels, those over 50 years old, and those who were overweight or obese were more susceptible to the effects of ozone on cardiometabolic diseases. Our findings demonstrated the detrimental effects of long-term ozone exposure on cardiometabolic health, emphasizing the need for ozone control strategies to reduce the burden of cardiometabolic diseases.
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Affiliation(s)
- Li Yang
- Zhejiang Provincial Research Center for Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Yixiang Zhu
- 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, China
| | - Bowen Zhao
- The First Clinical Medical College of Zhejiang Chinese Medicine University, Hangzhou, Zhejiang, China
| | - Wenjing Wan
- The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Su Shi
- 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, China
| | - Cheng Xuan
- Chronic Disease Control Department, Zhuji Second People's Hospital, Zhuji, Zhejiang, China
| | - Caiyan Yu
- Chronic Disease Control Department, Zhuji Second People's Hospital, Zhuji, Zhejiang, China
| | - Wei Mao
- Zhejiang Provincial Research Center for Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Zhejiang Hospital, Hangzhou, Zhejiang, China.
| | - Jing Yan
- Zhejiang Provincial Research Center for Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Zhejiang Hospital, Hangzhou, Zhejiang, China.
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15
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Lei J, Chen R, Liu C, Zhu Y, Xue X, Jiang Y, Shi S, Gao Y, Kan H, Xuan J. Fine and coarse particulate air pollution and hospital admissions for a wide range of respiratory diseases: a nationwide case-crossover study. Int J Epidemiol 2023; 52:715-726. [PMID: 37159523 DOI: 10.1093/ije/dyad056] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/20/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND The associations between fine and coarse particulate matter (PM2.5 and PM2.5-10) air pollution and hospital admissions for full-spectrum respiratory diseases were rarely investigated, especially for age-specific associations. We aim to estimate the age-specific associations of short-term exposures to PM2.5 and PM2.5-10 with hospital admissions for full-spectrum respiratory diseases in China. METHODS We conducted an individual-level case-crossover study based on a nationwide hospital-based registry including 153 hospitals across 20 provincial regions in China in 2013-20. We applied conditional logistic regression models and distributed lag models to estimate the exposure- and lag-response associations. RESULTS A total of 1 399 955 hospital admission records for various respiratory diseases were identified. The associations of PM2.5 and PM2.5-10 with total respiratory hospitalizations lasted for 4 days, and an interquartile range increase in PM2.5 (34.5 μg/m3) and PM2.5-10 (26.0 μg/m3) was associated with 1.73% [95% confidence interval (95% CI): 1.34%, 2.12%)] and 1.70% (95% CI: 1.31%, 2.10%) increases, respectively, in total respiratory hospitalizations over lag 0-4 days. Acute respiratory infections (i.e. pneumonia, bronchitis and bronchiolitis) were consistently associated with PM2.5 or PM2.5-10 exposure across different age groups. We found the disease spectrum varied by age, including rarely reported findings (i.e. acute laryngitis and tracheitis, and influenza) among children and well-established associations (i.e. chronic obstructive pulmonary disease, asthma, acute bronchitis and emphysema) among older populations. Besides, the associations were stronger in females, children and older populations. CONCLUSIONS This nationwide case-crossover study provides robust evidence that short-term exposure to both PM2.5 and PM2.5-10 was associated with increased hospital admissions for a wide range of respiratory diseases, and the spectra of respiratory diseases varied by age. Females, children and older populations were more susceptible.
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Affiliation(s)
- Jian Lei
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Renjie Chen
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Cong Liu
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yixiang Zhu
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Xiaowei Xue
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yixuan Jiang
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Su Shi
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Ya Gao
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
- National Center for Children's Health, Children's Hospital of Fudan University, Shanghai, China
| | - Jianwei Xuan
- Health Economic Research Institute, School of Pharmacy, Sun Yat-Shen University, Guangzhou, China
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16
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Li X, Wang P, Wang W, Zhang H, Shi S, Xue T, Lin J, Zhang Y, Liu M, Chen R, Kan H, Meng X. Mortality burden due to ambient nitrogen dioxide pollution in China: Application of high-resolution models. Environ Int 2023; 176:107967. [PMID: 37244002 DOI: 10.1016/j.envint.2023.107967] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/07/2023] [Accepted: 05/07/2023] [Indexed: 05/29/2023]
Abstract
BACKGROUND A large gap exists between the latest Global Air Quality Guidelines (AQG 2021) and Chinese air quality standards for NO2. Assessing whether and to what extent air quality standards for NO2 should be tightened in China requires a comprehensive understanding of the spatiotemporal characteristics of population exposure to ambient NO2 and related health risks, which have not been studied to date. OBJECTIVE We predicted ground NO2 concentrations with high resolution in mainland China, explored exposure characteristics to NO2 pollution, and assessed the mortality burden attributable to NO2 exposure. METHODS Daily NO2 concentrations in 2019 were predicted at 1-km spatial resolution in mainland China using random forest models incorporating multiple predictors. From these high-resolution predictions, we explored the spatiotemporal distribution of NO2, population and area percentages with NO2 exposure exceeding criterion levels, and premature deaths attributable to long- and short-term NO2 exposure in China. RESULTS The cross-validation R2and root mean squared error of the NO2 predicting model were 0.80 and 7.78 μg/m3, respectively,at the daily level in 2019.The percentage of people (population number) with annual NO2 exposure over 40 μg/m3 in mainland China in 2019 was 10.40 % (145,605,200), and it reached 99.68 % (1,395,569,840) with the AQG guideline value of 10 μg/m3. NO2 levels and population exposure risk were elevated in urban areas than in rural. Long- and short-term exposures to NO2 were associated with 285,036 and 121,263 non-accidental deaths, respectively, in China in 2019. Tightening standards in steps gradually would increase the potential health benefit. CONCLUSION In China, NO2 pollution is associated with significant mortality burden. Spatial disparities exist in NO2 pollution and exposure risks. China's current air quality standards may no longer objectively reflect the severity of NO2 pollution and exposure risk. Tightening the national standards for NO2 is needed and will lead to significant health benefits.
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Affiliation(s)
- Xinyue Li
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China
| | - Weidong Wang
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Hongliang Zhang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China
| | - Su Shi
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Jintai Lin
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Yuhang Zhang
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Mengyao Liu
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Renjie Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200302, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China.
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17
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Gao S, Zou BJ, Shi S, Wei YF, Du ZD, Zheng G, Wang R, Yin JL, Zhao JQ, Yan S, Qin X, Xiao Q, Gong TT, Chen RJ, Zhao YH, Wu QJ. PM 2.5 exposure and its interaction of oxidative balance score on ovarian cancer survival: A prospective cohort study. Ecotoxicol Environ Saf 2023; 256:114877. [PMID: 37037107 DOI: 10.1016/j.ecoenv.2023.114877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 03/24/2023] [Accepted: 04/04/2023] [Indexed: 06/19/2023]
Abstract
Recent evidence advises particles with a diameter of 2.5 µm or less (PM2.5) might be a prognostic factor for ovarian cancer (OC) survival. The oxidative balance score (OBS) incorporates diet-lifestyle factors to estimate individuals' anti-oxidant exposure status which may be relevant to cancer prognosis. We aimed to investigate the roles of PM2.5, and OBS and their interaction in OC prognosis. 663 patients with OC were enrolled in the current study. Satellite-derived annual average exposures to PM2.5 based on patients' residential locations. The OBS was calculated based on 16 different diet-lifestyle components derived using an acknowledged self-reported questionnaire. The Cox regression model was performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival (OS). We also assessed the effect of modification between PM2.5 and OS by OBS via interaction terms. During a median follow-up of 37.57 (interquartile:35.27-40.17) months, 123 patients died. Compared to low-concentration PM2.5 exposure, high PM2.5 during 1 year before diagnosis was associated with worse OC survival (HR= 1.19, 95% CI = 1.01-1.42). We observed an improved OS with the highest compared with the lowest OBS (HR = 0.46, 95% CI = 0.27-0.79, P for trend < 0.05). Notably, we also found an additive interaction between low OBS and high exposure to PM2.5, with the corresponding associations of PM2.5 being more pronounced among participants with lower OBS (HR = 1.42, 95% CI = 1.09-1.86). PM2.5 may blunt OC survival, but high OBS represented an antioxidative performance that could alleviate the adverse association of PM2.5 and OS.
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Affiliation(s)
- Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Su Shi
- 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, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zong-Da Du
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Gang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Rang Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jun-Qi Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qian Xiao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ren-Jie 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, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Reproductive and Genetic Medicine (China Medical University), National Health Commission, Shenyang, China.
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18
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Xing Z, Yang T, Shi S, Meng X, Chen R, Long H, Hu Y, Chai D, Liu W, Tong Y, Wang Y, Ma Y, Pan M, Cui J, Sun T, Guo Y. Ambient particulate matter associates with asthma in high altitude region: A population-based study. World Allergy Organ J 2023; 16:100774. [PMID: 37214170 PMCID: PMC10193005 DOI: 10.1016/j.waojou.2023.100774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 03/14/2023] [Accepted: 04/06/2023] [Indexed: 05/24/2023] Open
Abstract
Background Exposure to particulate matter (PM) has been a major public health threat, but the potentially differential effects on asthma of PM remain largely unknown in high altitude settings. We evaluated the effects of ambient PM on asthma in high altitude settings. Methods The study recruited a representative sample from high altitude settings using a multistage stratified sampling procedure. Asthma was defined by a self-reported history of diagnosis by a physician or by wheezing symptoms in the preceding 12 months. The annual mean PM2.5 and PM10 concentrations were calculated for each grid cell at 1-km spatial resolution based on the geographical coordinates. Results We analyzed data for participants (mean age 39.1 years, 51.4% female) and 183 (3.7%, 95% confidence interval (CI): 3.2-4.2) of the participants had asthma. Prevalence was higher in women (4.3%, 95% CI 3.5-5.1) than in men (3.1%, 2.4-3.8) and increasing with higher concentration of PM exposures. For an interquartile range (IQR) difference (8.77 μg/m3) in PM2.5 exposure, the adjusted odds ratio (OR) was 1.64 (95% CI 1.46-1.83, P < 0.001) for risk of asthma. For PM10, there was evidence for an association with risk of asthma (OR 2.34, 95% CI: 1.75-3.15, P < 0.001 per IQR of 43.26 μg/m3). Further analyses showed that household mold or damp exposure may aggravate PM exposure associated risks of asthma. Conclusions This study identified that PM exposure could be a dominate environmental risk factor for asthma but largely unconsidered in the high-altitude areas. The association between PM exposure and asthma should be of interest for planners of national policies and encourage programs for prevention of asthma in residents living at high altitudes.
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Affiliation(s)
- ZhenZhen Xing
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, China
- National Center for Respiratory Medicine & National Clinical Research Center for Respiratory Diseases, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China
- Department of Respiratory Medicine, Capital Medical University, Beijing, China
| | - Su Shi
- 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, China
| | - Xia Meng
- 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, 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, China
| | - Huanyu Long
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yanlu Hu
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Di Chai
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - WeiMing Liu
- Department of Intensive Care Medicine, Beijing Boai Hospital, Rehabilitation Research Center, Beijing, China
| | - YaQi Tong
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - YuXia Wang
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - YaLi Ma
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - MingMing Pan
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jia Cui
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - TieYing Sun
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - YanFei Guo
- Peking University Fifth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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Li YZ, Huang SH, Shi S, Chen WX, Wei YF, Zou BJ, Yao W, Zhou L, Liu FH, Gao S, Yan S, Qin X, Zhao YH, Chen RJ, Gong TT, Wu QJ. Association of long-term particulate matter exposure with all-cause mortality among patients with ovarian cancer: A prospective cohort. Sci Total Environ 2023; 884:163748. [PMID: 37120017 DOI: 10.1016/j.scitotenv.2023.163748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 04/19/2023] [Accepted: 04/22/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Evidence of the association between particles with a diameter of 2.5 μm or less (PM2.5) in long term and ovarian cancer (OC) mortality is limited. METHODS This prospective cohort study analyzed data collected between 2015 and 2020 from 610 newly diagnosed OC patients, aged 18-79 years. The residential average PM2.5 concentrations 10 years before the date of OC diagnosis were assessed by random forest models at a 1 km × 1 km resolution. Cox proportional hazard models fully adjusted for the covariates (including age at diagnosis, education, physical activity, kitchen ventilation, FIGO stage, and comorbidities) and distributed lag non-linear models were used to estimate the hazard ratios (HRs) and 95 % confidence intervals (CIs) of PM2.5 and all-cause mortality of OC. RESULTS During a median follow-up of 37.6 months (interquartile: 24.8-50.5 months), 118 (19.34 %) deaths were confirmed among 610 OC patients. One-year PM2.5 exposure levels before OC diagnosis was significantly associated with an increase in all-cause mortality among OC patients (single-pollutant model: HR = 1.22, 95 % CI: 1.02-1.46; multi-pollutant models: HR = 1.38, 95 % CI: 1.10-1.72). Furthermore, during 1 to 10 years prior to diagnosis, the lag-specific effect of long-term PM2.5 exposure on the all-cause mortality of OC had a risk increase for lag 1-6 years, and the exposure-response relationship was linear. Of note, significant interactions between several immunological indicators as well as solid fuel use for cooking and ambient PM2.5 concentrations were observed. CONCLUSION Higher ambient PM2.5 concentrations were associated with an increased risk of all-cause mortality among OC patients, and there was a lag effect in long-term PM2.5 exposure.
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Affiliation(s)
- Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shu-Hong Huang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Su Shi
- 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, China
| | - Wen-Xiao Chen
- Department of Sports Medicine and Joint Surgery, The People's Hospital of Liaoning Province, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wei Yao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lu Zhou
- 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, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ren-Jie 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, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Reproductive and Genetic Medicine (China Medical University), National Health Commission, Shenyang, China.
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Mao J, Lu Q, Li P, Shi S, Li J, Li Y, Chen S, Xie X. CCDC3 Gene Regulates the Proliferation of Breast Cancer Cells. Bull Exp Biol Med 2023; 174:653-658. [PMID: 37052857 DOI: 10.1007/s10517-023-05763-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Indexed: 04/14/2023]
Abstract
We studied the effect of CCDC3 on the viability of human breast cancer cell line MDA-MB-231. The levels of CCDC3 mRNA and the corresponding protein in MDA-MB-231, MCF-7, T-47D, and HCC1937 cell lines were measured by reverse transcription quantitative real-time PCR and Western blotting. Since MDA-MB-231 cells had higher expression of mRNA CCDC3 and CCDC3 protein, we used this cell line for transfection with small interfering RNA by lentivirus. Cell Counting Kit-8 and clone formation assay were used to detect the effects of CCDC3 knockdown on cell viability; flow cytometry was used to detect the effects of CCDC3 knockdown on cell apoptosis and cell cycle. In MDA-MB-231 cell line, the CCDC3 protein level was significantly down-regulated after CCDC3 knockdown in comparison with the control group (p<0.05). The cell viability and the number of clones in the CCDC3 knockdown group were significantly reduced (p<0.05), while the apoptosis rate significantly increased (p<0.05). Thus, after CCDC3 knockdown, cell viability is weakened in MDA-MB-231 cells, and cell apoptosis rate is increased. Therefore, CCDC3 gene is promising as a new candidate target for BC treatment.
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Affiliation(s)
- J Mao
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China
| | - Q Lu
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China
| | - P Li
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China
| | - S Shi
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China
| | - J Li
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China
| | - Y Li
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China
| | - S Chen
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China
| | - X Xie
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China.
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21
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He D, Pan C, Zhao Y, Wei W, Qin X, Cai Q, Shi S, Chu X, Zhang N, Jia Y, Wen Y, Cheng B, Liu H, Feng R, Zhang F, Xu P. Exome-wide screening identifies novel rare risk variants for bone mineral density. Osteoporos Int 2023; 34:965-975. [PMID: 36849660 DOI: 10.1007/s00198-023-06710-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 02/14/2023] [Indexed: 03/01/2023]
Abstract
UNLABELLED Bone mineral density (BMD) is an independent risk factor of osteoporosis-related fractures. We performed gene-based burden tests to assess the association between rare variants and BMD, and identified several BMD candidate genes. PURPOSE BMD is highly heritable and a major predictor of osteoporotic fractures, but its genetic basis remains unclear. We aimed to identify rare risk variants contributing to BMD. METHODS Utilizing the newly released UK Biobank 200,643 exome dataset, we conducted a gene-based exome-wide association study in males and females, respectively. First, 100,639 males and 117,338 females with BMD values were included in the polygenic risk scores (PRS) analysis. Among individuals with lower 30% PRS, cases were individuals with top 10% BMD, and individuals with bottom 10% BMD were the controls. Considering the effects of vitamin D (VD), individuals with the highest 30% VD concentration were selected for VD-BMD analysis. After quality control, 741 males and 697 females were included in the BMD analysis, and 717 males and 708 females were included in the VD-BMD analysis. The variants were annotated by ANNOVAR software, then BMD and VD-BMD qualified variants were imported into the SKAT R-package to perform gene-based burden tests, respectively. RESULTS The gene-based burden test of the exonic variants identified genome-wide candidate associations in ANKRD18A (P = 1.60 × 10-5, PBonferroni adjust = 2.11 × 10-3), C22orf31 (P = 3.49 × 10-4, PBonferroni adjust = 3.17 × 10-2), and SPATC1L (P = 1.09 × 10-5, PBonferroni adjust = 8.80 × 10-3). For VD-BMD analysis, three genes were associated with BMD, such as NIPAL1 (P = 1.06 × 10-3, PBonferroni adjust = 3.91 × 10-2). CONCLUSIONS Our study suggested that rare variants contribute to BMD, providing new sights for broadening the genetic structure of BMD.
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Affiliation(s)
- D He
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - C Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Zhao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - W Wei
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - X Qin
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Q Cai
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - S Shi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - X Chu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - N Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - B Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - H Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - R Feng
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - F Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China.
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
| | - P Xu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.
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Sivasankar V, Omine K, Zhang Z, Shi S, Sano H, Chicas SD. Plaster board waste (PBW) - A potential fluoride leaching source in soil/water environments and, fluoride immobilization studies using soils. Environ Res 2023; 218:115005. [PMID: 36493809 DOI: 10.1016/j.envres.2022.115005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
Plaster board waste generated from industries, usually contains major proportion of calcium as calcium sulfate. In addition, fluoride is remarkably one among the constituents of this waste material which leaches off into the soil and aquatic environments and causes fluoride pollution. In order to simulate how the dumping of PBW causes fluoride contamination in soil and water sources, shaking and stirring based batch-mode leaching studies were conducted. These studies explored the leaching of fluoride as a function of particle size, agitation time, pH of the leaching solvent (distilled water), L/S (water: PBW) ratio, temperature and electrolytes. It was explored that 1 g of plaster board waste contains18.54 mg F per gram of PBP. High leaching of 3.72 mg F per liter was studied at pH 6.02 with Ca2+ and TDS contents of 1050 mg L-1 and1640 mg L-1 respectively. The influence of sodium electrolytes such as chloride, nitrate, hydrogen carbonate, carbonate, sulfate, borate, phosphate and acetate on the leaching of fluoride from PBW was studied. The influence of fluoride leaching by sodium phosphate recorded a high value of 12.75 mg L-1 with no detectable amount of calcium ions. The influence of eight electrolytic mixtures each containing five sodium electrolytes on fluoride leaching corroborated the highest leaching in mixtures containing phosphate followed by hydrogen carbonate/carbonate. Solutions of calcium and aluminium chloride and their mixture were used to measure the rate of leachable fluoride in solution. Furthermore, the fluoride leaching at different temperatures and acids was studied. Naturally occurring soils when blended with PBW were observed to immobilize fluoride and lessened the amount of leaching fluoride in water. Various characterization studies such as FTIR, Raman, FESEM (with EDS), XRD and XPS were carried out for PBW and its treated samples using different electrolytes. Fluoride leaching proportionate to the precipitation of carbonate and phosphate was recorded in the case of appropriate electrolyte and mixtures.
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Affiliation(s)
- V Sivasankar
- Post Graduate and Research Department of Chemistry, Pachaiyappa's College (affiliated to University of Madras), Chennai, 600 030, Tamil Nadu, India.
| | - K Omine
- Geo-environmental Laboratory, Department of Civil Engineering, Graduate School of Engineering, Nagasaki University, Nagasaki, 852 8521, Japan.
| | - Z Zhang
- Geo-environmental Laboratory, Department of Civil Engineering, Graduate School of Engineering, Nagasaki University, Nagasaki, 852 8521, Japan
| | - S Shi
- Geo-environmental Laboratory, Department of Civil Engineering, Graduate School of Engineering, Nagasaki University, Nagasaki, 852 8521, Japan
| | - H Sano
- Division of Chemistry and Materials Science, Graduate School of Engineering, Nagasaki University, Nagasaki, 852 8521, Japan
| | - S D Chicas
- Humboldt-Universitat zu Berlin, Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Unter Den Linden 6, 10099, Berlin, Germany
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23
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Shi S, Wang W, Li X, Hang Y, Lei J, Kan H, Meng X. Optimizing modeling windows to better capture the long-term variation of PM 2.5 concentrations in China during 2005-2019. Sci Total Environ 2023; 854:158624. [PMID: 36089041 DOI: 10.1016/j.scitotenv.2022.158624] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 06/15/2023]
Abstract
Including data of different time intervals during model development influences the predicting accuracy of PM2.5 but has not been widely discussed. Therefore, we included modeling data with multiple time windows to identify optimized modeling time windows for capturing the long-term variation of PM2.5 in China during 2005-2019. In general, we incorporated PM2.5 measurements, aerosol optical depth (AOD), meteorological parameters, land use data, and other predictors to train random forest models. The study period was separated into two phases (2013-2019 and 2005-2012) according to the availability of PM2.5 measurements. First, we trained models with two strategies of choosing time windows to compare model performance in predicting PM2.5 from 2013 to 2019, when measurements were available. Strategy 1a (ST1a) refers to training one model with all available data, and Strategy 1b (ST1b) refers to training multiple models each with one-year data. Second, we trained models with additional ten strategies (ST2a-ST2j) based on data from different time windows during 2013-2019 to compare the accuracy in predicting PM2.5 before 2013, when measurements were unavailable. The internal and external cross-validation (CV) indicated that the model performance of ST1b was better than ST1a. Predictions based on ST1a tended to underestimate PM2.5 levels in 2013 and 2014 when PM2.5 concentrations were high, and overestimate after 2017 when PM2.5 dropped dramatically. The external CV of predicting historical PM2.5 was the most robust in ST2i (averaged predictions from two models developed by 2013 and 2014 data, respectively). Models with data closer to historical years and PM2.5 levels performed better in predicting historical PM2.5 concentrations. Our results suggested that training models with data of current-years performed better during 2013-2019, and with data of 2013 and 2014 performed better in predicting historical PM2.5 before 2013 in China. The comparison provided evidence for choosing optimized time windows when predicting long-term PM2.5 concentrations in China.
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Affiliation(s)
- Su Shi
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Xinyue Li
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Yun Hang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Jian Lei
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China.
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Shi S, Wang ML, Chen LL, Ji Y, Zeng MS. [MRI features of lymphoepithelioma-like intrahepatic cholangiocarcinoma]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:1188-1193. [PMID: 36891696 DOI: 10.3760/cma.j.cn501113-20211123-00573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
Objective: To investigate the MRI manifestations of lymphoepithelioma-like intrahep cholangiocarcinoma (LEL-ICC). Methods: MR images of 26 cases with LEL-ICC confirmed pathologically at Zhongshan Hospital Affiliated with Fudan University between March 2011 and March 2021 were retrospectively analyzed. The number, location, size, morphology, edges of lesions, non-scan signal intensity, cystic necrosis, enhancement mode, peak, and capsule, vascular invasion, lymph node metastasis, and other MR images were included for analysis. The apparent diffusion coefficient (ADC) value of the lesion and the surrounding normal liver parenchyma were measured. A paired-sample t-test was used to statistically analyze the measurement data. Results: All 26 cases of LEL-ICC had solitary lesions. Mass-type LEL-ICC was the most common [n=23, lesion size (4.02±2.32) cm] with distribution along the bile duct [n=3, lesion size (7.23±1.40 cm)]. Among the 23 lesions of mass type LEL-ICC, most of the lesions were close to the liver capsule (n=20), round (n=22), clearly bordered (n=13), and cystic necrosis (n=22). In the three lesions of LEL-ICC distributed along the bile duct, most of them were close to the liver capsule (n=2), irregular (n=3), blurred edges (n=3), and cystic necrosis (n=3). All 26 lesions showed a low/slightly low signal on T1WI, a high/slightly high signal on T2WI, and a slightly high or high signal on DWI. Three lesions showed fast-in and fast-out enhancement modes, and 23 lesions showed continuous enhancement. Twenty-five lesions showed peak enhancement in the arterial phase, and one lesion appeared in the delayed phase. The ADC value of 26 lesions and adjacent normal liver parenchyma was (1.112±0.274)×10-3 mm2/s and (1.482±0.346)×10-3 mm2/s, respectively, and the both had a statistically significant difference (P<0.05). Conclusion: Certain manifestations of LEL-ICC in magnetic resonance imaging are advantageous for diagnosis and differential diagnosis.
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Affiliation(s)
- S Shi
- Department of Radiology, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou 350004, China Department of Radiology, Zhongshan Hospital, Fudan University, Department of Radiology, Shanghai Geriatric Medical Center, Shanghai 200032, China
| | - M L Wang
- Department of Radiology, Zhongshan Hospital, Fudan University, Department of Radiology, Shanghai Geriatric Medical Center, Shanghai 200032, China
| | - L L Chen
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Ji
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - M S Zeng
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Zhang Q, Meng X, Shi S, Kan L, Chen R, Kan H. Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities. Innovation (N Y) 2022; 3:100312. [PMID: 36160941 PMCID: PMC9490194 DOI: 10.1016/j.xinn.2022.100312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/25/2022] Open
Abstract
Ambient particulate matter (PM) pollution in China continues to be a major public health challenge. With the release of the new WHO air quality guidelines in 2021, there is an urgent need for China to contemplate a revision of air quality standards (AQS). In the recent decade, there has been an increase in epidemiological studies on PM in China. A comprehensive evaluation of such epidemiological evidence among the Chinese population is central for revision of the AQS in China and in other developing countries with similar air pollution problems. We thus conducted a systematic review on the epidemiological literature of PM published in the recent decade. In summary, we identified the following: (1) short-term and long-term PM exposure increase mortality and morbidity risk without a discernible threshold, suggesting the necessity for continuous improvement in air quality; (2) the magnitude of long-term associations with mortality observed in China are comparable with those in developed countries, whereas the magnitude of short-term associations are appreciably smaller; (3) governmental clean air policies and personalized mitigation measures are potentially effective in protecting public and individual health, but need to be validated using mortality or morbidity outcomes; (4) particles of smaller size range and those originating from fossil fuel combustion appear to show larger relative health risks; and (5) molecular epidemiological studies provide evidence for the biological plausibility and mechanisms underlying the hazardous effects of PM. This updated review may serve as an epidemiological basis for China’s AQS revision and proposes several perspectives in designing future health studies. Acute effects of PM are smaller in China compared with developed countries Health effects caused by PM depend on particle composition, source, and size There are no thresholds for the health effects of PM Mechanistic studies support the biological plausibility of PM’s health effects
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Affiliation(s)
- Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Lena Kan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, MD 21205, USA
| | - 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, Shanghai Institute of Infectious Disease and Biosecurity, 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, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
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26
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Shi S, Dong N, Ding Y, Wang C, Yuan L, Fang YS, Wang BJ, Niu YH, Wei ZZ, Pu T, Dong XY, Lu Q. [COVID-19 treated with oral Nirmatrelvir-Ritonavir in 3 children]. Zhonghua Er Ke Za Zhi 2022; 60:1168-1171. [PMID: 36319152 DOI: 10.3760/cma.j.cn112140-20220701-00608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To summarize the application experience and the therapeutic effect of Nirmatrelvir-Ritonavir (trade name: Paxlovid) for COVID-19 in children. Methods: A retrospective analysis was performed on the clinical data, including collecting the clinical manifestations and clinical outcomes, dynamically monitoring the blood routine, hepatic and renal function and SARS-CoV-2 nucleic acid results, and observing the related side effects during the treatment, etc, of 3 cases with COVID-19 treated with Paxlovid admitted to Shanghai Children's Hospital (designated referral hospital for SARS-CoV-2 infection in Shanghai) from May 1st to June 1st, 2022. Results: The 3 cases were 12, 14, 17 years of age, among which 2 cases were males, 1 case was female. All 3 cases were mild cases with underlying diseases and risk of developing into severe COVID-19, with symptoms of high fever, sore throat and dry cough. The treatment of Paxlovid at 3rd day of symptom onset contributed to the symptom-free after 1-2 days and negative results of SARS-CoV-2 nucleic acid after 2-4 days. All patients had no adverse manifestations of gastrointestinal tract and nervous system but a case had little skin rashes, which recovered after the withdrawal of Paxlovid. Three cases had normal hepatic and renal function during the Paxlovid treatment. At 3 months after discharge, no clinical manifestations of post-COVID syndrome were found in all 3 cases. Conclusion: Paxlovid was effective and relatively safe in the treatment of 3 children with COVID-19.
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Affiliation(s)
- S Shi
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - N Dong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - Y Ding
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - C Wang
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - L Yuan
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - Y S Fang
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - B J Wang
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - Y H Niu
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - Z Z Wei
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - T Pu
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - X Y Dong
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
| | - Q Lu
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
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Liao M, Li S, Wu H, Gao Q, Shi S, Huang Y, Cao H. Transcriptomic analysis of Sitophilus zeamais in response to limonene fumigation. Pest Manag Sci 2022; 78:4774-4782. [PMID: 35900300 DOI: 10.1002/ps.7097] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 07/04/2022] [Accepted: 07/24/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Frequent application of chemical fumigants has contributed to the development of resistance in stored-product pests. Essential oils provide a novel and environmentally friendly alternative to conventional chemical pesticides. In this work, the fumigant activity of Taxodium 'zhongshansha' essential oil (TZEO) and main active components against Sitophilus zeamais were evaluated. In addition, the molecular mechanisms mediating the fumigant activity of limonene were assessed. RESULTS TZEO showed strong fumigant activity against Sitophilus zeamais, with a 50% lethal concentration (LC50 ) of 22.90 μL L-1 air in 24 h. The main components of TZEO were identified using gas chromatography-mass spectrometry, the main active ingredient (limonene) showed an LC50 of 9.93 μL L-1 air in 24 h which had a serious dose-time-effect. The LC50 value of the positive control (aluminum phosphide) was 1.91 μL L-1 . In total, 3982 up-regulated and 3067 down-regulated genes were sequenced in limonene-fumigated Sitophilus zeamais, the genes related to metabolic detoxification were significantly enriched. The mortality rate of 7 day-old Sitophilus zeamais adult mediated with knockdown of SzCYP6MS5 and SzCYP6MS6 raised up to 65.67% and 67.65% after fumigation with limonene in 24 h, respectively. The results showed that SzCYP6MS5 and SzCYP6MS6 are closely involved to the detoxification of limonene. CONCLUSION In this study, candidate genes affected by limonene treatment in Sitophilus zeamais were identified. These findings provided insights into the systemic metabolic response of Sitophilus zeamais to limonene and established a basis for the development of limonene as a botanical pesticide for the control of stored-product pests. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Min Liao
- Anhui Province Engineering Laboratory for Green Pesticide Development and Application, School of Plant Protection, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Crop Integrated Pest Management, School of Plant Protection, Anhui Agricultural University, Hefei, China
| | - Shengnan Li
- Anhui Province Engineering Laboratory for Green Pesticide Development and Application, School of Plant Protection, Anhui Agricultural University, Hefei, China
| | - Hailong Wu
- Anhui Province Engineering Laboratory for Green Pesticide Development and Application, School of Plant Protection, Anhui Agricultural University, Hefei, China
| | - Quan Gao
- Anhui Province Engineering Laboratory for Green Pesticide Development and Application, School of Plant Protection, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Crop Integrated Pest Management, School of Plant Protection, Anhui Agricultural University, Hefei, China
| | - Su Shi
- Anhui Province Engineering Laboratory for Green Pesticide Development and Application, School of Plant Protection, Anhui Agricultural University, Hefei, China
| | - Yong Huang
- Anhui Province Engineering Laboratory for Green Pesticide Development and Application, School of Plant Protection, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Crop Integrated Pest Management, School of Plant Protection, Anhui Agricultural University, Hefei, China
| | - Haiqun Cao
- Anhui Province Engineering Laboratory for Green Pesticide Development and Application, School of Plant Protection, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Crop Integrated Pest Management, School of Plant Protection, Anhui Agricultural University, Hefei, China
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bellagamba L, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Capelli C, Cardoso JMR, Cichon D, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Di Giovanni A, Di Stefano R, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Fulgione W, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Gardner R, Glade-Beucke R, Grandi L, Grigat J, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Paschos P, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Stephen J, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. Search for New Physics in Electronic Recoil Data from XENONnT. Phys Rev Lett 2022; 129:161805. [PMID: 36306777 DOI: 10.1103/physrevlett.129.161805] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
We report on a blinded analysis of low-energy electronic recoil data from the first science run of the XENONnT dark matter experiment. Novel subsystems and the increased 5.9 ton liquid xenon target reduced the background in the (1, 30) keV search region to (15.8±1.3) events/(ton×year×keV), the lowest ever achieved in a dark matter detector and ∼5 times lower than in XENON1T. With an exposure of 1.16 ton-years, we observe no excess above background and set stringent new limits on solar axions, an enhanced neutrino magnetic moment, and bosonic dark matter.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - F Agostini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - C Capelli
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - M Clark
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - J J Cuenca-García
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Di Giovanni
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - R Di Stefano
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Gardner
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - F Lombardi
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - P Paschos
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - S Reichard
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Rocchetti
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - N Rupp
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - J Stephen
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - Y Wei
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Xu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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Wu F, Liu J, Hu C, Liu J, Zhao W, Wu Y, Xu Y, Hu J, Xiao L, Liu X, Pan Y, Zeng Y, Shi S, Peng Y, Jiang Y. EP01.07-005 Combined Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced MRI for Diagnosing Indeterminate Pulmonary Nodules. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Yang J, Shi S, Wang L, Li N, Han JT, Hu DH. [A prospective randomized controlled study on the effects of compound analgesia in ultra-pulsed fractional carbon dioxide laser treatment of post-burn hypertrophic scars in children]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2022; 38:683-690. [PMID: 35899336 DOI: 10.3760/cma.j.cn501120-20210507-00171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the effects of compound analgesia on ultra-pulsed fractional carbon dioxide laser (UFCL) treatment of post-burn hypertrophic s in children. Methods: A prospective randomized controlled study was conducted. From April 2018 to March 2020, 169 pediatric patients with post-burn hypertrophic s admitted to the First Affiliated Hospital of Air Force Medical University were randomly divided into general anesthesia alone group (39 cases, 19 males and 20 females, aged 35 (21, 48) months), general anesthesia+lidocaine group (41 cases, 23 males and 18 females, aged 42 (22, 68) months), general anesthesia+ibuprofen suppository group (41 cases, 25 males and 16 females, aged 38 (26, 52) months), and three-drug combination group with general anesthesia + lidocaine+ibuprofen suppository (48 cases, 25 males and 23 females, aged 42 (25, 60) months), and the pediatric patients in each group were treated with corresponding analgesic regimens when UFCL was used to treat s, and the pediatric patients were given comprehensive care throughout the treatment process. The pain degree of pediatric patients scar was evaluated by facial expression,legs,activity,cry,and consolability (FLACC) of children's pain behavior scale at 0 (immediately), 1, 2, and 4 h after awakening from the first anesthesia, respectively. At 4 h after awakening from the first anesthesia of postoperative pain assessment, the self-made analgesia satisfaction questionnaire was used to evaluate the satisfaction for the analgesic effect of the pediatric patients or their families, and the satisfaction rate was calculated. Within 2 h after the first operation, the occurrences of adverse reactions of the pediatric patients, such as nausea and vomiting, headache, dizziness, drowsiness, etc, were observed and recorded. Before the first treatment and 1 month after the last treatment, the Vancouver scar scale (VSS) was used to evaluate the pediatric patients scar, and the difference value between the two was calculated. Data were statistically analyzed with least significant difference test, Kruskal-Wallis H test, chi-square test and Fisher's exact probability test. Results: At 0 h after awakening from the first anesthesia, the FLACC scores of pediatric patients in general anesthesia+lidocaine group, general anesthesia+ibuprofen suppository group and three-drug combination group were significantly lower than those in general anesthesia alone group (P<0.01). The FLACC scores of the pediatric patients in anesthesia+ibuprofen suppository group and three-drug combination group were significantly lower than that in general anesthesia+lidocaine group (P<0.01), and the FLACC score of the pediatric patients in three-drug combination group was significantly lower than that in general anesthesia+ibuprofen suppository group (P<0.01). At 1 and 2 h after awakening from the first anesthesia, the FLACC scores of pediatric patients in general anesthesia+ibuprofen suppository group and three-drug combination group were both significantly lower than those in general anesthesia alone group and general anesthesia+lidocaine group (P<0.01), and the FLACC score of the pediatric patients in three-drug combination group was significantly lower than that in general anesthesia+ibuprofen suppository group (P<0.01). At 4 h after awakening from the first anesthesia, the FLACC scores of the pediatric patients in general anesthesia+ibuprofen suppository group and three-drug combination group were significantly lower than those in general anesthesia alone group and general anesthesia+lidocaine group (P<0.01). At 4 h after awakening from the first anesthesia, the satisfactions rate with the analgesic effect in the four groups of pediatric patients or their families were 79.49% (31/39), 85.37% (35/41), 87.80% (36/41), and 97.92% (47/48), respectively. The satisfaction rate of the pediatric patients in three-drug combination group was significantly higher than those in general anesthesia alone group, general anesthesia+lidocaine group, general anesthesia+ibuprofen suppository group. Within 2 h after the first operation, there was no significant difference in the overall comparison of adverse reactions such as nausea and vomiting, headache, dizziness, and drowsiness of pediatric patients among the 4 groups (P>0.05). The VSS scores of pediatric patients before the first treatment, 1 month after the last treatment, and and the difference value between the two in the 4 groups were not significantly different (P>0.05). Conclusions: Three-drug combination for analgesia has a good effect in the treatment of hypertrophic scars after burn in pediatric patients with UFCL. Pediatric patients or their families are highly satisfied with the effect, and the treatment effect and incidence of adverse reactions are similar to other analgesic regimens, so it is recommended to be promoted in clinical practice.
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Affiliation(s)
- J Yang
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - S Shi
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - L Wang
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - N Li
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - J T Han
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - D H Hu
- Department of Burns and Cutaneous Surgery, Burn Center of PLA, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Alfonsi M, Althueser L, Angelino E, Angevaare J, Antochi V, Antón Martin D, Arneodo F, Baudis L, Baxter A, Bellagamba L, Bernard A, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Capelli C, Cardoso J, Cichon D, Cimmino B, Clark M, Colijn A, Conrad J, Cuenca-García J, Cussonneau J, D’Andrea V, Decowski M, Di Gangi P, Di Pede S, Di Giovanni A, Di Stefano R, Diglio S, Elykov A, Farrell S, Ferella A, Fischer H, Fulgione W, Gaemers P, Gaior R, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Higuera A, Hils C, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Landsman H, Lang R, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Lombardi F, Long J, Lopes J, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Manfredini A, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Peres R, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, dos Santos J, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhang Y, Zhong M, Zhu T, Zopounidis J. Emission of single and few electrons in XENON1T and limits on light dark matter. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.022001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Liang X, Shi S, Gao T. Preoperative gadoxetic acid-enhanced MRI predicts aggressive pathological features in LI-RADS category 5 hepatocellular carcinoma. Clin Radiol 2022; 77:708-716. [PMID: 35738938 DOI: 10.1016/j.crad.2022.05.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/30/2022] [Accepted: 05/19/2022] [Indexed: 11/09/2022]
Abstract
AIM To investigate whether Liver Imaging Reporting and Data System (LI-RADS) imaging features and non-LI-RADS imaging features can predict aggressive pathological features in adult patients with hepatocellular carcinoma (HCC). MATERIALS AND METHODS From February 2018 to September 2021, 236 adult patients with cirrhosis or hepatitis B virus infection in which liver cancer was suspected underwent MRI within 1 month before surgery. Significant MRI findings and alpha-fetoprotein (AFP) level predicted high-grade HCC and microvascular invasion (MVI) by univariate and multivariate logistic regression models. RESULTS The study included 112 patients with histopathologically confirmed liver cancer (≤5 cm), 35 of whom (31.3%) high-grade HCC and 42 of 112 (37.5%) patients had MVI. Mosaic architecture (odds ratio [OR] = 6.031; 95% confidence interval [CI]: 1.366, 26.626; p=0.018), coronal enhancement (OR=5.878; 95% CI: 1.471, 23.489; p=0.012), and intratumoural vessels (OR=5.278; 95% CI: 1.325, 21.020; p=0.018) were significant independent predictors of high-grade HCC. A non-smooth tumour margin (OR=10.237; 95% CI: 1.547, 67.760; p=0.016), coronal enhancement (OR=3.800; 95% CI: 1.152, 12.531; p=0.028), and peritumoural hypointensity on the hepatobiliary phase (HBP; OR=10.322; 95% CI: 2.733, 38.986; p=0.001) were significant independent predictors of MVI. CONCLUSION In high-risk adult patients with single LR-5 HCC (≤5 cm), mosaic architecture, coronal enhancement, and intratumoural vessels are independent predictors of high-grade HCC. Non-smooth tumour margin, coronal enhancement, and peritumoural hypointensity on HBP independently predicted MVI.
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Affiliation(s)
- X Liang
- Department of Radiology, People's Hospital of Chongqing Banan District, Banan District, Chongqing, China
| | - S Shi
- Department of Radiology, People's Hospital of Chongqing Banan District, Banan District, Chongqing, China
| | - T Gao
- Department of Radiology, People's Hospital of Chongqing Banan District, Banan District, Chongqing, China.
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He K, Chen X, Shi Z, Shi S, Tian Q, Hu X, Song R, Bai K, Shi W, Wang J, Li H, Ding J, Geng S, Sheng X. Relationship of resting heart rate and blood pressure with all-cause and cardiovascular disease mortality. Public Health 2022; 208:80-88. [PMID: 35728416 DOI: 10.1016/j.puhe.2022.03.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/21/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES This study aimed to investigate associations of resting heart rate (RHR) and blood pressure (BP) with all-cause and cardiovascular disease (CVD) mortality. STUDY DESIGN A retrospective cohort study. METHODS A total of 67,028 Chinese participants aged ≥60 years were included in the analysis. RHR, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were evaluated according to quartiles ([41-69, 70-74, 75-79, 80-127 beats/min], [80-119, 120-129, 130-139, 140-238 mm Hg], and [40-70, 71-79, 80-84, 85-133 mm Hg]). Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of all-cause and CVD mortality with RHR, SBP, and DBP. Restricted cubic splines were used to evaluate the dose-response association. RESULTS During the 361,975 person-year follow-up, 9326 deaths were recorded, of which 5039 deaths were due to CVD. The risk of all-cause mortality was increased by 25% with the quartiles four vs quartile one of RHR (HR [95% CI]:1.25 [1.17-1.33]), and CVD mortality was increased by 32% (HR [95% CI]: 1.32 [1.22-1.44]). Similar results were observed when comparing the quartiles four vs quartile one of SBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.14 [1.07, 1.22] and 1.23 [1.12. 1.34]) and DBP with the risk of all-cause and CVD mortality (HRs [95% CIs]: 1.17 [1.11. 1.24] and 1.36 [1.26. 1.47]). We found linear associations of RHR, SBP, and DBP with all-cause and CVD mortality (Pnon-linearity >0.05), except for the approximately J-shaped association between DBP and all-cause mortality (Pnon-linearity = 0.008). There was a significant interaction of RHR and SBP with all-cause and CVD mortality (Pinteraction <0.05). CONCLUSIONS RHR and BP increased the risk of all-cause and CVD mortality, especially fast RHR combined with high SBP.
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Affiliation(s)
- K He
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Chen
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Z Shi
- Department of Pharmacy, Zhengzhou People's Hospital, Zhengzhou, Henan, People's Republic of China
| | - S Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Q Tian
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Song
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - K Bai
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - W Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - H Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - J Ding
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - S Geng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - X Sheng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
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Lei J, Peng L, Yang T, Huang S, Zhu Y, Gao Y, Zhou L, Shi S, Liu C, Kan H, Chen R. Non-optimum ambient temperature may decrease pulmonary function: A longitudinal study with intensively repeated measurements among asthmatic adult patients in 25 Chinese cities. Environ Int 2022; 164:107283. [PMID: 35576731 DOI: 10.1016/j.envint.2022.107283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/20/2022] [Accepted: 05/04/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Non-optimum ambient temperature has not been widely perceived as an important environmental risk factor for asthma, and the association between ambient temperature and pulmonary function is rarely explored. Our study aimed to investigate the associations between non-optimum ambient temperature and pulmonary function among asthmatic adult patients. METHODS We performed a longitudinal study among 4,992 eligible adult asthmatic patients in 25 cities of China from 2017 to 2020. The patients were required to complete pulmonary function test every day in the morning and evening. Linear mixed-effects models and distributed lag non-linear models were used to evaluate the associations between ambient temperature and pulmonary function. RESULTS We evaluated 298,396 records of pulmonary function tests. We found inversely J-shaped exposure-response relationship curves for ambient temperature and pulmonary function. The effects of extreme low temperature occurred at lag 0 h and vanished at lag 72 h (almost 3 days). Compared with referent temperature (29.5 °C), extreme low temperature (-9.4 °C) was associated with decreases of 60.4 mL in FEV1, 299.7 mL/s in PEF, and 101.5 mL in FVC. Extreme high temperature (34.2 °C) was associated with decreases of 26.0 mL in FEV1, 35.8 mL/s in PEF, and 23.4 mL in FVC. Patients of male, overweight, and elder ages were vulnerable populations, and cold effects were more prominent in the south and in areas without central heating. CONCLUSIONS Both extreme low and high ambient temperatures were associated with decreased pulmonary function in adult asthmatic patients. The effect could last for almost 3 days and low temperature was more harmful.
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Affiliation(s)
- Jian Lei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Li Peng
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine and National Center for Respiratory Medicine & National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Suijie Huang
- Guangzhou Homesun Medical Technology Co., Ltd, Guangdong Province, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ya Gao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China; IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China; IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.
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Niu Y, Li H, Wang W, Wang C, Liu C, Du X, Zhang Q, Li J, Shi S, Meng X, Chen R, Kan H. Ozone exposure and prothrombosis: Mechanistic insights from a randomized controlled exposure trial. J Hazard Mater 2022; 429:128322. [PMID: 35086041 DOI: 10.1016/j.jhazmat.2022.128322] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/06/2022] [Accepted: 01/19/2022] [Indexed: 06/14/2023]
Abstract
Epidemiological studies have associated ozone exposure with cardiovascular diseases, but the molecular mechanisms were not elucidated. We performed an untargeted serum proteomic analysis in a randomized, crossover, controlled exposure trial. We recruited 32 healthy young adults and asked them to receive filtered air and 200-ppb ozone exposures for 2 h in a random order before serum collection. Linear mixed-effect models were used to identify differentially expressed proteins (DEPs) between the two exposures and Gene Ontology enrichment and ingenuity pathway analysis were performed to determine their biological function. A total of 56 DEPs were identified. For example, acute ozone exposure increased coagulation factor X and factor VII-activating protease by 20.96% and 28.35%, respectively. Whereas, protein Z, protein Z-dependent protease inhibitor, and plasminogen decreased by 13.62%, 33.54%, and 10.47%, respectively. We also observed a 42.32% decrease in paraoxonase 3 and evident changes in four apolipoproteins. Additionally, we found 18.21% and 95.82% increases in L-selectin and β2-microglobulin, respectively, and significant changes in three complements. DEPs and enriched pathways suggest that short-term ozone exposure may promote coagulation, suppress fibrinolysis, disrupt lipoprotein metabolism, activate immune responses, and affect the complement system. These findings provide additional insights into the mechanisms linking acute ozone exposure to thrombosis.
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Affiliation(s)
- Yue Niu
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Huichu Li
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA 02215, USA
| | - Weidong Wang
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Cuiping Wang
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Cong Liu
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Xihao Du
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Qingli Zhang
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Jingguang Li
- Shanghai Research Institute of Building Sciences (Group) Co., Ltd., Shanghai 200032, China
| | - Su Shi
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, 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, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China.
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Meng X, Wang W, Shi S, Zhu S, Wang P, Chen R, Xiao Q, Xue T, Geng G, Zhang Q, Kan H, Zhang H. Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013-2019. Environ Pollut 2022; 299:118865. [PMID: 35063542 DOI: 10.1016/j.envpol.2022.118865] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/24/2021] [Accepted: 01/15/2022] [Indexed: 06/14/2023]
Abstract
Evaluating ozone levels at high resolutions and accuracy is crucial for understanding the spatiotemporal characteristics of ozone distribution and assessing ozone exposure levels in epidemiological studies. The national models with high spatiotemporal resolutions to predict ground ozone concentrations are limited in China so far. In this study, we aimed to develop a random forest model by combining ground ozone measurements from fixed stations, ozone simulations from the Community Multiscale Air Quality (CMAQ) modeling system, meteorological parameters, population density, road length, and elevation to predict ground maximum daily 8-h average (MDA8) ozone concentrations at a daily level and 1 km × 1 km spatial resolution. The model cross-validation R2 and root mean squared error (RMSE) were 0.80 and 20.93 μg/m3 at daily level in 2013-2019, respectively. CMAQ ozone simulations and near-surface temperature played vital roles in predicting ozone concentrations among all predictors. The population-weighted median concentrations of predicted MDA8 ozone were 89.34 μg/m3 in mainland China in 2013, and reached 100.96 μg/m3 in 2019. However, the long-term temporal variations among regions were heterogeneous. Central and Eastern China, as well as the Southeast Coastal Area, suffered higher ozone pollution and higher increased rates of ozone concentrations from 2013 to 2019. The seasonal pattern of ozone pollution varied spatially. The peak-season ozone pollution with the highest 6-month ozone concentrations occurred in different months among regions, with more than half domain in April-September. The predictions showed that not only the annual mean concentrations but also the percentages of grid-days with MDA8 ozone concentrations higher than 100/160 μg/m3 have been increasing in the past few years in China; meanwhile, majority areas in mainland China suffered peak-season ozone concentrations higher than the air quality guidelines launched by the World Health Organization in September 2021. The proposed model and ozone predictions with high spatiotemporal resolution and full coverage could provide health studies with flexible choices to evaluate ozone exposure levels at multiple spatiotemporal scales in the future.
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Affiliation(s)
- Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Weidong Wang
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Su Shi
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Shengqiang Zhu
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, 200438, China
| | - Renjie Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Qingyang Xiao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Tao Xue
- Institute of Reproductive and Child Health /Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Guannan Geng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China.
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Zhao M, Liu X, Yuan C, Zheng W, Zhang D, Long Q, Li J, Han T, Xu L, Li H, Li X, Shi S. 16P Camrelizumab monotherapy or plus apatinib for PD-L1-positive advanced pulmonary sarcomatoid carcinoma: A single-arm, open-label, multicenter, phase II study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Zhang L, Shi S, Wu S, Yang Y, Xu J, Zhang Y, Wang Q, Shen H, Zhang Y, Yan D, Peng Z, Liu C, Wang W, Jiang Y, Shi S, Chen R, Kan H, He Y, Meng X, Ma X. Effects of greenness on preterm birth: A national longitudinal study of 3.7 million singleton births. Innovation (N Y) 2022; 3:100241. [PMID: 35492433 PMCID: PMC9046626 DOI: 10.1016/j.xinn.2022.100241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/06/2022] [Indexed: 11/26/2022] Open
Abstract
Exposure to greenness may lead to a wide range of beneficial health outcomes. However, the effects of greenness on preterm birth (PTB) are inconsistent, and limited studies have focused on the subcategories of PTB. A total of 3,751,672 singleton births from a national birth cohort in mainland China were included in this study. Greenness was estimated using the satellite-based Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index with 500-m and 1,000-m buffers around participants’ addresses. The subcategories of PTB (20–36 weeks) included extremely PTB (EPTB, 20–27 weeks), very PTB (VPTB, 28–31 week), and moderate-to-late PTB (MPTB, 32–36 weeks). Gestational age (GA) was included as another birth outcome. We used logistic regression models and multiple linear regression models to analyze these associations throughout the entire pregnancy. We found inverse associations between greenness and PTB and positive associations between greenness and GA. Specifically, an increase of 0.1 NDVI exposure within a 500-m buffer throughout the entire pregnancy was significantly associated with decreases in PTB (odds ratio [OR], 0.930; 95% confidence interval [CI], 0.927–0.932), EPTB (OR, 0.820; 95% CI, 0.801–0.839), VPTB (OR, 0.913; 95% CI, 0.908–0.919), MPTB (OR, 0.934; 95% CI, 0.931–0.936), and an increase in GA (β = 0.050; 95% CI, 0.049–0.051 weeks). These results suggest the potential protective effects of greenness on PTB and its subcategories: MPTB, VPTB, and EPTB in China. A national study with 3.7 million births on greenness-PTB in China Higher greenness was associated with lower risks of PTB and its subcategories PTB of shorter gestational weeks may benefit more from greenness exposure
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Liu Y, Zhang Y, Chen Y, Yue L, Su T, Shi S. Sternum-mental angle: A new predictor of difficult. Laryngeal exposure in suspension microsurgery - An observational study. Eur Ann Otorhinolaryngol Head Neck Dis 2022; 139:202-207. [PMID: 35148972 DOI: 10.1016/j.anorl.2021.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/06/2021] [Accepted: 03/18/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES In our study, we hypothesized that sternum-mental angle (SMA) was a totally new preoperative predictor of difficult laryngeal exposure (DLE). The main objective of this study was to evaluate the diagnostic utility of SMA in predicting DLE in patients undergoing suspension microlaryngeal surgery, and we also searched for risk factors among the selected parameters. METHODS A total of 95 patients with vocal cord dysfunction who underwent microlaryngeal surgery were collected. According to the Cormack-Lehane classification method, the patients were divided into non-DLE group (n=73) and DLE group (n=22). Preoperative assessments included age, sex, body mass index (BMI), Modified Mallampati's index (MMI), neck circumference (NC), thyroid-mental distance at neutral position (TMD-NP), TMD at full extension position (TMD-FE), sternum-mental distance at neutral position (SMD-NP), SMD at full extension position (SMD-FE), SMA at neutral position (SMA-NP) and SMA at full extension position (SMA-FE). SMA was defined as the angle between the horizontal line and the line from upper border of the manubrium sterni to mental prominence, and SMA's ability to predict difficult laryngoscopy was compared with that of established predictors. RESULTS The DLE incidence of the enrolled patients was 23%. Univariate analysis showed that patients in DLE group presented significantly smaller SMA values. SMA-NP less than 13 provided 68.2% sensitivity and 83.6% specificity and SMA-FE less than 22.5 provided 86.4% sensitivity and 80.8% specificity for the detection of DLE. SMA-FE (≤22.5) exhibited the largest area under the curve (AUC: 0.868; 95% CI: 0.784-0.952), confirming its better predictive ability. Binary multivariate logistic regression analyses identified four risk factors including MMI, TMD-FE, TMD-NP which were independently associated with DLE. CONCLUSIONS SMA is a new and simple predictor with a higher level of efficacy, and could help otorhinolaryngologist plan for managements in patients with DLE.
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Affiliation(s)
- Y Liu
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Shanghai 200336, China
| | - Y Zhang
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Shanghai 200336, China
| | - Y Chen
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Shanghai 200336, China
| | - L Yue
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Shanghai 200336, China
| | - T Su
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Shanghai 200336, China
| | - S Shi
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Shanghai 200336, China.
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LI J, Guo L, Shi S, Zhou X, Zhu L, Liu L, Lv J, Zhang H. POS-528 The Role of Complement in Microangiopathic Lesions of IgA Nephropathy. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Li Q, Lu X, Chen W, Huang H, Chen S, Chen W, Shi S, Liang G, Huang Z, Deng J, Guo W, Su S, Tan N, Chen J, Liu J, Liu Y, Xie N. Malnutrition Increases the Risk of Left Ventricular Remodeling. J Nutr Health Aging 2022; 26:1094-1100. [PMID: 36519773 DOI: 10.1007/s12603-022-1862-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Malnutrition is associated with increased incidence of heart failure (HF). Left ventricular (LV) remodeling is one of the most important processes in the occurrence and evolution of HF. However, the association between nutritional status and LV remodeling is not well known. The study aimed to investigate the association between malnutrition and LV remodeling. DESIGN The study was a retrospective observation study. SETTING AND PARTICIPANTS We included patients from the registry of Cardiorenal Improvement study from January 2007 to December 2018 at Guangdong Provincial People's Hospital. MEASUREMENTS The primary endpoint was LV remodeling, defined as an absolute decrease in LV ejection fraction ≥10% after discharge compared with baseline. Nutritional status was assessed by the Controlling Nutritional Status (CONUT) score. Eligible patients were divided into absent-mild malnutrition group (CONUT score ≤4) and moderate-severe malnutrition group (CONUT score >4). Univariable and multivariable logistic regression was performed to verify the association between malnutrition and left ventricular remodeling. RESULTS A total of 7,217 patients (mean age 61.3±10.5 years, 71.7% male) were included in the final analysis, among which 712 (9.9%) had LV remodeling. The incidence of LV remodeling in moderate-severe malnutrition group was significantly higher than that in absent-mild malnutrition group (12.9% vs. 9.5%, p=0.002). In multivariable logistic regression, moderate-severe malnutrition group was significantly associated with 1.69-fold increased risk of LV remodeling after adjusting confounders (OR: 1.69, CI: 1.32-2.16). Similar results were observed in subgroup stratified by age, gender, and coronary artery disease. CONCLUSION Nearly one eighth of patients were classified as moderate-severe malnutrition, 12% of whom had LV remodeling. Moderate-severe malnutrition was associated with 69% increased risk of LV remodeling. Further studies are needed to prospectively evaluate the nutrition-oriented managements on outcomes in LV remodeling.
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Affiliation(s)
- Q Li
- Nianjin Xie, MD; Yong Liu, MD, PhD, FACC; Jin Liu, MD, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China, Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong, Academy of Medical Sciences, Guangzhou, 510080, China, Tel: (+86) 02083827812-10528/Fax: (+86) 02083851483, E-mail: ; ;
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Shi S, Liu J, Dong J, Hu J, Liu Y, Feng J, Zhou D. Research progress on the regulation mechanism of probiotics on the microecological flora of infected intestines in livestock and poultry. Lett Appl Microbiol 2021; 74:647-655. [PMID: 34882816 DOI: 10.1111/lam.13629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022]
Abstract
The animal intestine is a complex ecosystem composed of host cells, gut microbiota and available nutrients. Gut microbiota can prevent the occurrence of intestinal diseases in animals by regulating the homeostasis of the intestinal environment. The intestinal microbiota is a complex and stable microbial community, and the homeostasis of the intestinal environment is closely related to the invasion of intestinal pathogens, which plays an important role in protecting the host from pathogen infections. Probiotics are strains of microorganisms that are beneficial to health, and their potential has recently led to a significant increase in studies on the regulation of intestinal flora. Various potential mechanisms of action have been proposed on probiotics, especially mediating the regulation mechanism of the intestinal flora on the host, mainly including competitive inhibition of pathogens, stimulation of the host's adaptive immune system and regulation of the intestinal flora. The advent of high-throughput sequencing technology has given us a clearer understanding and has facilitated the development of research methods to investigate the intestinal microecological flora. This review will focus on the regulation of probiotics on the microbial flora of intestinal infections in livestock and poultry and will depict future research directions.
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Affiliation(s)
- S Shi
- College of Life Sciences, Anqing Normal University and Anhui Key Laboratory of Biodiversity Research and Ecological Protection in Southwest Anhui Province, Anqing, P. R. China
| | | | - J Dong
- College of Life Sciences, Anqing Normal University and Anhui Key Laboratory of Biodiversity Research and Ecological Protection in Southwest Anhui Province, Anqing, P. R. China
| | - J Hu
- College of Life Sciences, Anqing Normal University and Anhui Key Laboratory of Biodiversity Research and Ecological Protection in Southwest Anhui Province, Anqing, P. R. China
| | - Y Liu
- College of Life Sciences, Anqing Normal University and Anhui Key Laboratory of Biodiversity Research and Ecological Protection in Southwest Anhui Province, Anqing, P. R. China
| | - J Feng
- Susong Chunrun Food Co., Ltd, Anqing, P. R. China
| | - D Zhou
- College of Life Sciences, Anqing Normal University and Anhui Key Laboratory of Biodiversity Research and Ecological Protection in Southwest Anhui Province, Anqing, P. R. China
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Zhang L, Chen C, Liu C, Zhang Y, Fang J, Han J, Zhao F, Du P, Wang Q, Wang J, Shi W, Wang W, Shi S, Chen R, Kan H, Meng X, Li T, Shi X. Associations of residential greenness with peripheral and central obesity in China. Sci Total Environ 2021; 791:148084. [PMID: 34139501 DOI: 10.1016/j.scitotenv.2021.148084] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Obesity is a well-known risk factor for public health. Recent studies found that greenness exposure may protect against obesity. However, the accumulated evidence on associations of greenness-obesity is inconsistent and most of them are from developed countries. OBJECTIVES This study aimed to evaluate the associations of greenness exposure with indicators of peripheral and central obesity. METHODS This cross-sectional study was based on a Chinese national Sub-Clinical Outcomes of Polluted Air (SCOPA) prospective cohort across 15 provinces, and 5849 participants with average age of 64.7 were included. Surrounding greenness was estimated with the Enhanced Vegetation Index (EVI), which was calculated at each participant's residential addresses within a 250 m buffer. Weight, height and waist circumference (WC) were measured, and body mass index (BMI) and the waist-to-height ratio% (WHtR%) were calculated based on those measurements. The relationships between EVI and obese outcomes were explored using multiple linear regression and logistic regression models. RESULTS Non-linear associations were observed between EVI and obese indicators. Participants living in Quartile 3 benefited more than in Quartile 4 compared to the lowest quartile (Quartile 1) of greenness. For peripheral obesity, participants living in Quartile 3 of EVI250m had 0.86 kg/m2 (β -0.86, 95% CI: -1.10, -0.61) lower BMI, and 46% (OR 0.54, 95% CI: 0.44-0.66) lower odds of peripheral obesity than in Quartile 1. For central obesity, participants living in Quartile 3 of EVI250m had 1.85 cm (β -1.85, 95% CI: -2.54, -1.15) lower waist circumference, 1.12% (β -1.12, 95% CI: -1.56, -0.67) lower waist-to-height ratio% (WHtR%), and 33% (OR 0.67, 95% CI: 0.57-0.78) lower odds of central obesity than in Quartile 1 of EVI250m. CONCLUSIONS Higher levels of greenness were statistically significant associated with lower obesity risk.
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Affiliation(s)
- Lina Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jingxiu Han
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qiong Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jiaonan Wang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, 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, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, 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, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China.
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Gauthier-Loiselle M, Cloutier M, Toro W, Patel A, Shi S, Davidson M, Bischof M, LaMarca N, Dabbous O. SMA - TREATMENT. Neuromuscul Disord 2021. [DOI: 10.1016/j.nmd.2021.07.310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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45
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Yang Y, Wu J, Wang X, Yao J, Lao KS, Xu Y, Hu Y, Pan Y, Feng Y, Shi S, Zhang J, Qiao Y, Li Q, Ye D, Wang Y. P–389 The relationship between serum hormone profiles and missed abortion in humans. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Study question
Are circulating profiles of metabolic-related hormones also associated with the missed abortion (MA) in humans?
Summary answer
Serum levels of fatty acid-binding protein–4 (FABP4) and fibroblast growth factor 21 (FGF21) are positively associated with MA.
What is known already
A cluster of endocrine hormones, including FABP4, FGF21, adiponectin, lipocalin–2 (LCN2), exhibit pleiotropic effects on regulating systematic metabolism. Serum levels of them are associated with gestational obesity and diabetes and affect pregnancy outcomes, however, the relationship between their circulating profiles and MA is under-investigated.
Study design, size, duration
78 patients with MA and 86 healthy pregnant subjects matching on maternal age and body mass index (BMI) were nested from a prospective cohort in the Chinese population.
Participants/materials, setting, methods
Fasting serum samples from all participants were collected to test their serum levels of FGF21, FABP4, adiponectin, and LCN2 by enzyme-linked immunosorbent assay method (ELISA).
Main results and the role of chance
There were no significant differences in circulating profiles of adiponectin and LCN2 between MA patients and healthy pregnant subjects. By contrast, circulating levels of FGF21 and FABP4 were significantly and independently elevated in patients with MA relative to control cases even after adjusting confounding factors (for FGF21: MA: 28.96 ± 2.17 ng/ml; HP: 19.18 ± 1.12 ng/ml, P < 0.001, for FABP4: MA: 152.50 ± 9.31 pg/ml; HP: 90.86 ± 4.14 pg/ml, P < 0.001). Linear regression analysis showed, FGF21 raised every 10 pg/ml contributed to a 24% (95% CI: 15% - 34%) increase in the risk of MA, whereas the OR of FABP4 for the risk of MA was 1.052 (95% CI: 1.022 –1.088). Furthermore, using serum FGF21 level or FABP4 levels discriminated MA from healthy controls with an area under the operating characteristic’s curve (AUROC) of 0.81 (95% CI 0.76–0.92) and 0.70 (95% CI 0.62 - 0.78), respectively.
Limitations, reasons for caution
The study is limited by the sample size. In addition, our results were based-on Chinese population, whether it could be observed in other ethics group remain to be investigated. Meanwhile, the cause-effect relationship between increased serum FGF21 level and MA remains to be explored.
Wider implications of the findings: Our data would suggest that serum levels of FGF21 and FABP4 are associated with MA. Moreover, circulating FGF21 levels may serve as a potential diagnostic biomarker for the recognition of M.
Trial registration number
IRB Ref. No.: KY201913
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Affiliation(s)
- Y Yang
- Shaanxi University of Chinese Medicine, The Second Clinical Medical College, Xianyang, China
| | - J Wu
- The University of Hong Kong, State Key Laboratory of Pharmaceutical Biotechnology, Hong Kong SAR, China
| | - X Wang
- Shaanxi University of Chinese Medicine, Department of Obstetrics and Gynecology, Xianyang, China
| | - J Yao
- Guangdong Pharmaceutical University, Guangdong Research Center of Metabolic Diseases of Integrated Western and Chinese Medicine, Guangzhou, China
| | - K S Lao
- The University of Hong Kong, Centre for Safe Medication Practice and Research, Hong Kong SAR, China
| | - Y Xu
- Guangdong Pharmaceutical University, The First Affiliated Hospital/School of Clinical Medicine, Guangzhou, China
| | - Y Hu
- The University of Hong Kong, State Key Laboratory of Pharmaceutical Biotechnology, Hong Kong SAR, China
| | - Y Pan
- Shenzhen University, School of Biomedicine Science, Shenzhen, China
| | - Y Feng
- Shaanxi University of Chinese Medicine, The Second Clinical Medical College, Xianyang, China
| | - S Shi
- Shaanxi University of Chinese Medicine, Department of Obstetrics and Gynecology, Xianyang, China
| | - J Zhang
- Shaanxi University of Chinese Medicine, Department of Obstetrics and Gynecology, Xianyang, China
| | - Y Qiao
- Shaanxi University of Chinese Medicine, Department of Obstetrics and Gynecology, Xianyang, China
| | - Q Li
- Shaanxi University of Chinese Medicine, The Second Clinical Medical College, Xianyang, China
| | - D Ye
- Guangdong Pharmaceutical University, Guangdong Research Center of Metabolic Diseases of Integrated Western and Chinese Medicine, Guangzhou, China
| | - Y Wang
- The University of Hong Kong, State Key Laboratory of Pharmaceutical Biotechnology, Hong Kong SAR, China
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Liu XC, Ma SR, Shi S, Zhao YF, Jia J. Prognostic significance of lymph node ratio in patients with squamous cell carcinoma of the floor of the mouth. Int J Oral Maxillofac Surg 2021; 51:307-313. [PMID: 34281747 DOI: 10.1016/j.ijom.2021.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 04/21/2021] [Accepted: 07/01/2021] [Indexed: 11/19/2022]
Abstract
The lymph node ratio (LNR) has been proposed as an independent prognostic factor for survival in patients with oral squamous cell carcinoma (OSCC). However, little attention has been paid to its role in the specific subsite of the floor of the mouth (FOM). The purpose of this study was to evaluate the prognostic significance of the LNR in patients with FOM SCC. A retrospective analysis of 92 patients with FOM SCC who were treated with primary curative resection and neck dissection was conducted. Overall survival (OS) and disease-free survival (DFS) were used to evaluate the prognostic significance of the LNR. Both of these parameters were significantly worse (P < 0.001) in patients with neck metastases. The mean LNR was 0.145 in patients with positive lymph nodes. A LNR <0.145 was predictive of longer DFS, while the receiver operating characteristic curve analysis demonstrated that a LNR ≥0.175 indicated a significantly lower OS. This study confirms that metastatic cervical lymph nodes correlate with an adverse prognosis in patients with FOM SCC, and specifically, a LNR ≥0.145 is predictive. Therefore, the LNR in patients with FOM SCC may be a predictor of survival in these patients.
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Affiliation(s)
- X C Liu
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and Key Laboratory of Oral Biomedicine - Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - S R Ma
- Department of Oral Maxillofacial-Head Neck Oncology, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - S Shi
- Department of Oral Maxillofacial-Head Neck Oncology, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Y F Zhao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and Key Laboratory of Oral Biomedicine - Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Oral Maxillofacial-Head Neck Oncology, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - J Jia
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and Key Laboratory of Oral Biomedicine - Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Oral Maxillofacial-Head Neck Oncology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
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47
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Shi S, Yu XJ. [Surgical treatment for pancreatic cancer with liver metastasis:exploration and innovation]. Zhonghua Wai Ke Za Zhi 2021; 59:593-596. [PMID: 34256459 DOI: 10.3760/cma.j.cn112139-20210406-00161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The prognosis of pancreatic cancer patients with liver metastasis (PCLM) is very poor and the median overall survival(OS) is less than 6 months.The current standard treatment for PCLM is systematic chemotherapy.Though the chemotherapeutic regimens are better than gemcitabine only,the OS remains dissatisfied.A lot of retrospective studies identified that surgical treatment can only offer survival benefits for highly selected rather than entire PCLM patients.The Chinese Study Group for Pancreatic Cancer (CSPAC) has initiated a multiple-center,prospective,randomized comparison clinical trial,named CSPAC-1 to identify the standard and value of surgical treatment of PCLM patients.This manuscript reviewed the current progress of surgical treatment for pancreatic cancer with liver metastasis and looked forward to opportunities and challenges in the future.
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Affiliation(s)
- S Shi
- Department of Pancreatic Surgery,Fudan University Shanghai Cancer Center; Department of Oncology,Shanghai Medical College,Fudan University,Shanghai 200032,China
| | - X J Yu
- Department of Pancreatic Surgery,Fudan University Shanghai Cancer Center; Department of Oncology,Shanghai Medical College,Fudan University,Shanghai 200032,China
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Doelman DS, Snik F, Por EH, Bos SP, Otten GPPL, Kenworthy M, Haffert SY, Wilby M, Bohn AJ, Sutlieff BJ, Miller K, Ouellet M, de Boer J, Keller CU, Escuti MJ, Shi S, Warriner NZ, Hornburg K, Birkby JL, Males J, Morzinski KM, Close LM, Codona J, Long J, Schatz L, Lumbres J, Rodack A, Van Gorkom K, Hedglen A, Guyon O, Lozi J, Groff T, Chilcote J, Jovanovic N, Thibault S, de Jonge C, Allain G, Vallée C, Patel D, Côté O, Marois C, Hinz P, Stone J, Skemer A, Briesemeister Z, Boehle A, Glauser AM, Taylor W, Baudoz P, Huby E, Absil O, Carlomagno B, Delacroix C. Vector-apodizing phase plate coronagraph: design, current performance, and future development [Invited]. Appl Opt 2021; 60:D52-D72. [PMID: 34263828 DOI: 10.1364/ao.422155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 04/19/2021] [Indexed: 06/13/2023]
Abstract
Over the last decade, the vector-apodizing phase plate (vAPP) coronagraph has been developed from concept to on-sky application in many high-contrast imaging systems on 8 m class telescopes. The vAPP is a geometric-phase patterned coronagraph that is inherently broadband, and its manufacturing is enabled only by direct-write technology for liquid-crystal patterns. The vAPP generates two coronagraphic point spread functions (PSFs) that cancel starlight on opposite sides of the PSF and have opposite circular polarization states. The efficiency, that is, the amount of light in these PSFs, depends on the retardance offset from a half-wave of the liquid-crystal retarder. Using different liquid-crystal recipes to tune the retardance, different vAPPs operate with high efficiencies (${\gt}96\%$) in the visible and thermal infrared (0.55 µm to 5 µm). Since 2015, seven vAPPs have been installed in a total of six different instruments, including Magellan/MagAO, Magellan/MagAO-X, Subaru/SCExAO, and LBT/LMIRcam. Using two integral field spectrographs installed on the latter two instruments, these vAPPs can provide low-resolution spectra (${\rm{R}} \sim 30$) between 1 µm and 5 µm. We review the design process, development, commissioning, on-sky performance, and first scientific results of all commissioned vAPPs. We report on the lessons learned and conclude with perspectives for future developments and applications.
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Chen D, Xiao L, Hong D, Zhao Y, Hu X, Shi S, Chen F. Epidemiology of resistance of carbapenemase-producing Klebsiella pneumoniae to ceftazidime-avibactam in a Chinese hospital. J Appl Microbiol 2021; 132:237-243. [PMID: 34053144 PMCID: PMC9290937 DOI: 10.1111/jam.15166] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 05/04/2021] [Accepted: 05/26/2021] [Indexed: 11/30/2022]
Abstract
AIMS Klebsiella pneumoniae has been reported to develop increased antibiotic resistance. Ceftazidime-avibactam (CZA) is a novel antibiotic with activity against serine-lactamase. Here, we investigated the sensitivity of carbapenem-resistant K. pneumoniae (CRKP) to CZA and the mechanisms of drug resistance in our hospital. METHODS AND RESULTS Patient characteristics were obtained from medical records. K. pneumoniae and its antibiotic susceptibility were determined using the Vitek-2 Compact instrument. The antibiotic resistance genes KPC, NDM, OXA-48, VIM, IMP, CIM, SPM, TMB, SMB, SIM, AIM and DIM were detected using real-time PCR. Multilocus sequence typing was used for genetic RELATEDNESS analysis. In total, 121 CRKP strains were isolated from patients in the intensive care unit (51·2%), senior ward (12·4%) and neurosurgery department (10%). With an average age of 72·5 years, most patients were in care for respiratory (34·7%), brain (20·7%), digestive tract (13·2%) and cardiovascular (8·3%) diseases. Specimens were predominantly obtained from sputum (39·67%), urine (29·75%) and blood (6·61%). CONCLUSION Of 23 CZA-resistant CRKP strains (19·01%), ST11 being the most common at 56·52%, 11 NDM-1-positive (47·83%) and four NDM-5-positive (17·39%) strains were detected. SIGNIFICANCE AND IMPACT OF THE STUDY Our study indicates that CZA resistance occurs in ~19·01% CRKP strains and that blaNDM-1 and blaNDM-5 might be critical for resistance.
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Affiliation(s)
- D Chen
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.,Clinical Microbiology Laboratory, Fujian Provincial Hospital, Fuzhou, China
| | - L Xiao
- Department of Respiratory Medicine, The Affiliated Hospital (Group) of Putian University, Putian, China
| | - D Hong
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.,Department of Critical Care Medicine, Fujian Provincial Hospital, Fuzhou, China
| | - Y Zhao
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - X Hu
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.,Clinical Microbiology Laboratory, Fujian Provincial Hospital, Fuzhou, China
| | - S Shi
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.,Department of Critical Care Medicine, Fujian Provincial Hospital, Fuzhou, China
| | - F Chen
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.,Clinical Microbiology Laboratory, Fujian Provincial Hospital, Fuzhou, China
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50
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Shi S, Cheng B, Gu B, Sheng T, Tu J, Shao Y, Qi K, Zhou D. Evaluation of the probiotic and functional potential of Lactobacillus agilis 32 isolated from pig manure. Lett Appl Microbiol 2021; 73:9-19. [PMID: 33098675 DOI: 10.1111/lam.13422] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 10/20/2020] [Accepted: 10/20/2020] [Indexed: 12/16/2022]
Abstract
Escherichia coli is a symbiotic bacterium in humans and animals and an important pathogen of humans and animals. Prevention and suppression of E. coli infection is of great concern. In this study, we isolated a strain of Lactobacillus agilis 32 from pig manure and evaluated its biological characteristics, and found that its bacterial survival rate was 25% after 4 h of treatment at pH 2, and under the condition of 0·5% bile concentration, its survival rate exceeds 30%. In addition, L. agilis 32 has a cell surface hydrophobicity of 77·8%, and exhibits 67·1% auto-aggregation and 63·2% aggregation with Enterotoxigenic E. coli 10 (ETEC 10). FITC fluorescence labelling showed that the fluorescence intensity of cecum was significantly higher than that of duodenum, jejunum or colon (P < 0·05), but no significant difference from ileum. Lactobacillus agilis 32 bacterial culture and CFS showed average inhibition zone diameters of 14·2 and 15·4 mm respectively. Lactobacillus agilis 32 CFS treatment can significantly reduce the pathogenicity of ETEC 10. These results show that L. agilis 32 is an active and potential probiotic, and it has a good antibacterial effect on ETEC10, which provides basic research for probiotics to prevent and treat intestinal diarrhoea pathogen infection.
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Affiliation(s)
- S Shi
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, Anhui Agricultural University, Hefei, P. R. China.,College of Life Sciences, Anqing Normal University, Anqing, P. R. China
| | - B Cheng
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, Anhui Agricultural University, Hefei, P. R. China
| | - B Gu
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, Anhui Agricultural University, Hefei, P. R. China
| | - T Sheng
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, Anhui Agricultural University, Hefei, P. R. China
| | - J Tu
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, Anhui Agricultural University, Hefei, P. R. China
| | - Y Shao
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, Anhui Agricultural University, Hefei, P. R. China
| | - K Qi
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, Anhui Agricultural University, Hefei, P. R. China
| | - D Zhou
- College of Life Sciences, Anqing Normal University, Anqing, P. R. China
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