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Wu S, Peng B, Wu N, Xie S, Yang X, Fang X, Song Z. Mobility and environmental impact of cadmium (Cd) during weathering of carbonaceous black shales in western Hunan, China. J Hazard Mater 2024; 470:134267. [PMID: 38608591 DOI: 10.1016/j.jhazmat.2024.134267] [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: 01/13/2024] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Carbonaceous black shale generally contains high concentration of Cd, with weathering leading to Cd release to environment. In this study, the mobility of Cd during weathering was quantified using geochemical assessment on black shale from western Hunan, China. Results suggested that Cd was heterogeneously distributed in shale profiles with concentrations ranging from 0.16 to 109.9 (mg/kg). Cd distribution was heterogeneous resulting from the parent shale inheritance and the mobility of Cd during weathering. Black shales weathered to a moderate degree with Cd mobility characterized by both enrichment in and release from weathered shales. Cd enrichment in weathered shales resulted from the re-enrichment of Cd in secondary minerals formed during the initial stage of carbonate (and phosphorite) dissolution, and the secondary stage of sulfide oxidation. The release of Cd was caused by decomposition of the secondary Cd-bearing minerals. Cadmium was extensively released during pedogenesis, and Cd release mass flux was estimated to range from 1.26 to 9.50 (g/m2) with a mean of 6.60 g/m2. Thus, black shale weathering may lead to the releasing of large amount of Cd resulting in Cd contamination to local environments.
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Affiliation(s)
- Sicheng Wu
- School of Geographic Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, Changsha 410081, PR China
| | - Bo Peng
- School of Geographic Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, Changsha 410081, PR China.
| | - Nengqiu Wu
- School of Geographic Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, Changsha 410081, PR China
| | - Shurong Xie
- School of Earth Sciences, East China University of Technology, Nanchang 330013, PR China
| | - Xia Yang
- School of Geographic Sciences, Hunan Normal University, Changsha 410081, PR China; Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, Changsha 410081, PR China
| | - Xiaohong Fang
- College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, PR China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, PR China
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Yang X, Ni Y, Li Z, Yue K, Wang J, Li Z, Yang X, Song Z. Silicon in paddy fields: Benefits for rice production and the potential of rice phytoliths for biogeochemical carbon sequestration. Sci Total Environ 2024; 929:172497. [PMID: 38636875 DOI: 10.1016/j.scitotenv.2024.172497] [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: 02/12/2024] [Revised: 04/12/2024] [Accepted: 04/13/2024] [Indexed: 04/20/2024]
Abstract
Silicon (Si) biogeochemical cycling is beneficial for crop productivity and carbon (C) sequestration in agricultural ecosystem, thus offering a nonnegligible role in alleviating global warming and food crisis. Compared with other crops, rice plants have a greater quantity of phytolith production, because they are able to take up a lot of Si. However, it remains unclear on Si supply capacity of paddy soils across the world, general rice yield-increasing effect after Si fertilizer addition, and factors affecting phytolith production and potential of phytolith C sequestration in paddy fields. This study used a meta-analysis of >3500 data from 87 studies to investigate Si supply capacity of global paddy soils and elaborate the benefits of Si regarding rice productivity and phytolith C sequestration in paddy fields. Analytical results showed that the Si supply capacity of paddy soils was insufficient in the major rice producing countries/regions. Dealing with this predicament, Si fertilization was an effective strategy to supply plant-available Si to improve rice productivity. Our meta-analysis results further revealed that Si fertilization led to the average increasing rate of 36 % and 39 % in rice yield and biomass, which could reach up to 52 % and 46 % with the increasing doses of Si fertilizer, respectively. Especially, this strategy also improved the potential of phytolith C sequestration through the increased phytolith content and rice biomass, despite that this potential might have a decline in old paddy soils (≥ 7000 year) compared to in young paddy soils (≤ 1000 year) due to the slow migration and dissolution of phytoliths at millennial scale. Our findings thus indicate that a deep investigation on the benefits of Si in agroecosystem will further improve our understanding on regulating crop production and the potential of biogeochemical C sequestration within phytoliths in global cropland.
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Affiliation(s)
- Xiaomin Yang
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guiyang 550025, China; College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China; Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang 550025, China
| | - Yilun Ni
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guiyang 550025, China; College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China; Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang 550025, China
| | - Zimin Li
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, Shaanxi 710061, China; National Observation and Research Station of Earth Critical Zone on the Loess Plateau, Xi'an, Shaanxi 710061, China.
| | - Kai Yue
- Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Jingxu Wang
- Institute of Geography, Henan, Academy of Sciences, Zhengzhou 450052, China
| | - Zhijie Li
- School of Computing, Clemson University, Clemson, SC 29634, USA
| | - Xing Yang
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Ecology and Environment, Hainan University, Renmin Road 58, Haikou 570228, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
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Gao X, Wang Y, Song Z, Jiang M, Huang T, Baccarelli AA. Early-life risk factors, accelerated biological aging and the late-life risk of mortality and morbidity. QJM 2024; 117:257-268. [PMID: 37930885 DOI: 10.1093/qjmed/hcad247] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/18/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Early-life exposure increases health risks throughout an individual's lifetime. Biological aging is influenced by early-life risks as a key process of disease development, but whether early-life risks could accelerate biological aging and elevate late-life mortality and morbidity risks remains unknown. Knowledge is also limited on the potential moderating role of healthy lifestyle. METHODS We investigate associations of three early-life risks around birth, breastfeeding, maternal smoking and birth weight, with biological aging of 202 580 UK Biobank participants (54.9 ± 8.1 years old). Biological aging was quantified as KDM-BA, PhenoAge and frailty. Moderate alcohol intake, no current smoking, healthy diet, BMI <30 kg/m2 and regular physical activity were considered as healthy lifestyles. Mortality and morbidity data were retrieved from health records. RESULTS Individual early-life risk factors were robustly associated with accelerated biological aging. A one-unit increase in the 'early-life risk score' integrating the three factors was associated with 0.060 (SE=0.0019) and 0.036-unit (SE = 0.0027) increase in z-scored KDM-BA acceleration and PhenoAge acceleration, respectively, and with 22.3% higher odds (95% CI: 1.185-1.262) of frailty. Increased chronological age and healthy lifestyles could mitigate the accelerations of KDM-BA and PhenoAge, respectively. Associations of early-life risk score with late-life mortality and morbidity were mediated by biological aging (proportions: 5.66-43.12%). KDM-BA and PhenoAge accelerations could significantly mediate the impact on most outcomes except anxiety, and frailty could not mediate the impact on T2D. CONCLUSION Biological aging could capture and mediate the late-life health risks stemming from the early-life risks, and could be potentially targeted for healthy longevity promotion.
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Affiliation(s)
- X Gao
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- Center for Healthy Aging, Peking University Health Science Center, Beijing 100191, China
| | - Y Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Z Song
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China
| | - M Jiang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - A A Baccarelli
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
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Liu L, Yang X, Ellam RM, Li Q, Feng D, Song Z, Tang J. Evidence that co-existing cadmium and microplastics have an antagonistic effect on greenhouse gas emissions from paddy field soils. J Hazard Mater 2024; 467:133696. [PMID: 38341889 DOI: 10.1016/j.jhazmat.2024.133696] [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: 11/24/2023] [Revised: 01/15/2024] [Accepted: 01/31/2024] [Indexed: 02/13/2024]
Abstract
Accumulation of microplastics (MPs) and cadmium (Cd) are ubiquitous in paddy soil. However, the combined effects of MPs and Cd on physiochemical and microbial mechanisms in soils and the attendant implications for greenhouse gas (GHG) emissions, remain largely unknown. Here, we evaluated the influence of polylactic acid (PLA) and polyethylene (PE) MPs on GHG emissions from Cd-contaminated paddy soil using a microcosm experiment under waterlogged and drained conditions. The results showed that PLA significantly increased CH4 and N2O emission fluxes and hence the global warming potential (GWP) of waterlogged soil. Soils treated with MPs+Cd showed significantly reduced GWP compared to those treated only with MPs suggesting that, irrespective of attendant consequences, Cd could alleviate N2O emissions in the presence of MPs. Conversely, the presence of MPs in Cd-contaminated soils tended to alleviate the bioavailability of Cd. Based on a structural equation model analysis, both the MPs-derived dissolved organic matter and the soil bioavailable Cd affected indirectly on soil GHG emissions through their direct influencing on microbial abundance (e.g., Firmicutes, Nitrospirota bacteria). These findings provide new insights into the assessment of GHG emissions and soil/cereal security in response to MPs and Cd coexistence that behaved antagonistically with respect to adverse ecological effects in paddy systems.
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Affiliation(s)
- Linan Liu
- MOE Key Laboratory of Pollution Processes and Environmental Criteria/Tianjin Engineering Center of Environmental Diagnosis and Contamination Remediation, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xinzuo Yang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria/Tianjin Engineering Center of Environmental Diagnosis and Contamination Remediation, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Rob M Ellam
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Qiang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Di Feng
- Shandong Facility Horticulture Bioengineering Research Center/Weifang University of Science and Technology, Weifang 262700, Shandong, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Jingchun Tang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria/Tianjin Engineering Center of Environmental Diagnosis and Contamination Remediation, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
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Wu Q, Yang D, Dong W, Song Z, Yang J, Gu Y. Causal relationship between cigarette smoking behaviors and the risk of hernias: a Mendelian randomization study. Hernia 2024; 28:435-446. [PMID: 38148419 DOI: 10.1007/s10029-023-02925-6] [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: 09/12/2023] [Accepted: 10/27/2023] [Indexed: 12/28/2023]
Abstract
PURPOSE As the global population continues to age, there is a noticeable yearly rise in the incidence of hernias. Simultaneously, smoking, a widespread addictive behavior and a significant contributor to mortality, has evolved into a pervasive public health concern. Existing literature has already established a connection between smoking and an increased risk of postoperative recurrence and postoperative infections following hernia surgery. However, there remains a dearth of research exploring the association between smoking and hernia morbidity. In this study, our objective is to systematically evaluate the causal relationship between cigarette smoking behaviors and hernia morbidity using a Mendelian randomization (MR) approach. METHODS Hernia-related data were sourced from the FinnGen Biobank database, while cigarette smoking behavior data were gathered from the GWAS and Sequencing Consortium of Alcohol and Nicotine Use. To assess the causal relationship, we employed five methods: the weighted median, the weighted mode the inverse variance weighted (IVW), MR-Egger, and the simple mode. Sensitivity analysis was conducted, incorporating Cochran's Q test, the MR-Egger intercept test, leave-one-out analysis, and funnel plot. The presentation of the causal relationship is expressed as an odds ratio (OR) along with their corresponding 95% confidence intervals (CI). RESULTS Employing the IVW method as the reference standard, we found that smoking intensity is associated with an increased risk of diaphragmatic hernia (OR = 1.21, 95% CI 1.00-1.46, P = 0.047). These consistent findings were further corroborated by the weighted median and weighted mode methods (OR = 1.26, 95% CI 1.03-1.54, P = 0.026; OR = 1.25, 95% CI 1.02-1.52, P = 0.045). Conversely, when applying the IVW method, we identified no statistically significant causal relationship between smoking age, smoking initiation status, smoking cessation status, and the incidence of hernia. CONCLUSIONS Our MR study has uncovered genetic evidence linking smoking intensity and the occurrence of diaphragmatic hernia. The risk of developing diaphragmatic hernia rises in tandem with the intensity of smoking. This emphasizes the crucial role of regularly advising patients to cease smoking in clinical settings.
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Affiliation(s)
- Q Wu
- Department of General Surgery, Fudan University Affiliated Huadong Hospital, 221 Yan'an West Road, Jing'an District, Shanghai, 200040, China
| | - D Yang
- Department of General Surgery, Fudan University Affiliated Huadong Hospital, 221 Yan'an West Road, Jing'an District, Shanghai, 200040, China
| | - W Dong
- Department of General Surgery, Fudan University Affiliated Huadong Hospital, 221 Yan'an West Road, Jing'an District, Shanghai, 200040, China
| | - Z Song
- Department of General Surgery, Fudan University Affiliated Huadong Hospital, 221 Yan'an West Road, Jing'an District, Shanghai, 200040, China
| | - J Yang
- Department of General Surgery, Fudan University Affiliated Huadong Hospital, 221 Yan'an West Road, Jing'an District, Shanghai, 200040, China
| | - Y Gu
- Department of General Surgery, Fudan University Affiliated Huadong Hospital, 221 Yan'an West Road, Jing'an District, Shanghai, 200040, China.
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Yang X, Song Z, Van Zwieten L, Guo L, Chen J, Luo Z, Wang Y, Luo Y, Wang Z, Wang W, Wang J, Wang Y, Liu CQ, Wang H. Significant accrual of soil organic carbon through long-term rice cultivation in paddy fields in China. Glob Chang Biol 2024; 30:e17213. [PMID: 38436125 DOI: 10.1111/gcb.17213] [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] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/09/2024] [Accepted: 02/16/2024] [Indexed: 03/05/2024]
Abstract
Paddy fields serve as significant reservoirs of soil organic carbon (SOC) and their potential for terrestrial carbon (C) sequestration is closely associated with changes in SOC pools. However, there has been a dearth of comprehensive studies quantifying changes in SOC pools following extended periods of rice cultivation across a broad geographical scale. Using 104 rice paddy sampling sites that have been in continuous cultivation since the 1980s across China, we studied the changes in topsoil (0-20 cm) labile organic C (LOC I), semi-labile organic C (LOC II), recalcitrant organic C (ROC), and total SOC. We found a substantial increase in both the content (48%) and density (39%) of total SOC within China's paddy fields between the 1980s to the 2010s. Intriguingly, the rate of increase in content and density of ROC exceeded that of LOC (I and II). Using a structural equation model, we revealed that changes in the content and density of total SOC were mainly driven by corresponding shifts in ROC, which are influenced both directly and indirectly by climatic and soil physicochemical factors; in particular temperature, precipitation, phosphorous (P) and clay content. We also showed that the δ13 CLOC were greater than δ13 CROC , independent of the rice cropping region, and that there was a significant positive correlation between δ13 CSOC and δ13 Cstraw . The δ13 CLOC and δ13 CSOC showed significantly negative correlation with soil total Si, suggesting that soil Si plays a part in the allocation of C into different SOC pools, and its turnover or stabilization. Our study underscores that the global C sequestration of the paddy fields mainly stems from the substantial increase in ROC pool.
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Affiliation(s)
- Xiaomin Yang
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guiyang, China
- College of Resources and Environmental Engineering, Guizhou University, Guiyang, China
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang, China
| | - Zhaoliang Song
- Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
| | - Lukas Van Zwieten
- NSW Department of Primary Industries, Wollongbar, New South Wales, Australia
- School of Environment and Chemical Engineering, Foshan University, Foshan, Guangdong, China
| | - Laodong Guo
- School of Freshwater Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - Ji Chen
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
- Department of Agroecology, Aarhus University, Tjele, Denmark
| | - Zhongkui Luo
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Yidong Wang
- Tianjin Key Laboratory of Water Resources and Environment, School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Yu Luo
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Zhengang Wang
- School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China
| | - Weiqi Wang
- Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China
| | - Jingxu Wang
- Institute of Geography, Henan Academy of Sciences, Zhengzhou, China
| | - Yu Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Cong-Qiang Liu
- Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
| | - Hailong Wang
- School of Environment and Chemical Engineering, Foshan University, Foshan, Guangdong, China
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7
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Zhang J, Hao Q, Li Q, Zhao X, Fu X, Wang W, He D, Li Y, Zhang Z, Zhang X, Song Z. Source identification of sedimentary organic carbon in coastal wetlands of the western Bohai Sea. Sci Total Environ 2024; 913:169282. [PMID: 38141989 DOI: 10.1016/j.scitotenv.2023.169282] [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: 08/13/2023] [Revised: 12/05/2023] [Accepted: 12/09/2023] [Indexed: 12/25/2023]
Abstract
Coastal wetlands play a vital role in mitigating climate change, yet the characteristics of buried organic carbon (OC) and carbon cycling are limited due to difficulties in assessing the composition of OC from different sources (allochthonous vs. autochthonous). In this study, we analyzed the total organic carbon (TOC) to total nitrogen (TN) ratio (C/N), stable carbon isotope (δ13C) composition, and n-alkane content to distinguish different sources of OC in the surface sediments of the coastal wetlands on the western coast of the Bohai Sea. The coupling of the C/N ratio with δ13C and n-alkane biomarkers has been proved to be an effective tool for revealing OC sources. The three end-member Bayesian mixing model based on coupling C/N ratios with δ13C showed that the sedimentary OC was dominated by the contribution of terrestrial particulate organic matter (POM), followed by freshwater algae and marine phytoplankton, with relative contributions of 47 ± 21 %, 41 ± 18 % and 12 ± 17 %, respectively. The relative contributions of terrestrial plants, aquatic macrophytes and marine phytoplankton assessed by n-alkanes were 56 ± 8 %, 35 ± 9 % and 9 ± 5 % in the study area, respectively. The relatively high salinity levels and strong hydrodynamic conditions of the Beidagang Reservoir led to higher terrestrial plants source and lower aquatic macrophytes source than these of Qilihai Reservoir based on the assessment of n-alkanes. Both methods showed that sedimentary OC was mainly derived from terrestrial sources (plant-dominated), suggesting that vegetation plays a crucial role in storing carbon in coastal wetlands, thus, the coastal vegetation management needs to be strengthened in the future. Our findings provide insights into the origins and dynamics of OC in coastal wetlands on the western coast of the Bohai Sea and a significant scientific basis for future monitoring of the blue carbon budget balance in coastal wetlands.
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Affiliation(s)
- Juqin Zhang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Qian Hao
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
| | - Qiang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xiangwei Zhao
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xiaoli Fu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Weiqi Wang
- Key Laboratory of Humid Sub-tropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350117, China
| | - Ding He
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong SAR, China; State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, Hong Kong SAR, China; State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Science, Wuhan 430071, China
| | - Yuan Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, China
| | - Zhenqing Zhang
- School of Geographic and Environmental Sciences, Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, China; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Xiaodong Zhang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
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8
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Zhao X, Song Z, Van Zwieten L, Wang Y, Ran X, Hao Q, Zhang J, Li Z, Sun J, Wei Y, Wu L, Liu S, Liu CQ, Wu Y, Wang H. Silicon fractionations in coastal wetland sediments: Implications for biogeochemical silicon cycling. Sci Total Environ 2024; 912:169206. [PMID: 38092199 DOI: 10.1016/j.scitotenv.2023.169206] [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: 10/26/2023] [Revised: 11/30/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023]
Abstract
Coastal wetland sediment is important reservoir for silicon (Si), and plays an essential role in controlling its biogeochemical cycling. However, little is known about Si fractionations and the associated factors driving their transformations in coastal wetland sediments. In this study, we applied an optimized sequential Si extraction method to separate six sub-fractions of non-crystalline Si (Sinoncry) in sediments from two coastal wetlands, including Si in dissolved silicate (Sidis), Si in the adsorbed silicate (Siad), Si bound to organic matter (Siorg), Si occluded in pedogenic oxides and hydroxides (Siocc), Si in biogenic amorphous silica (Siba), and Si in pedogenic amorphous silica (Sipa). The results showed that the highest proportion of Si in the Sinoncry fraction was Siba (up to 6.6 % of total Si (Sitot)), followed by the Sipa (up to 1.8 % of Sitot). The smallest proportion of Si was found in the Sidis and Siad fractions with the sum of both being <0.1 % of the Sitot. We found a lower Siocc content (188 ± 96.1 mg kg-1) when compared to terrestrial soils. The Sidis was at the center of the inter-transformation among Si fractions, regulating the biogeochemical Si cycling of coastal wetland sediments. Redundancy analysis (RDA) combined with Pearson's correlations further showed that the basic biogenic elements (total organic carbon and total nitrogen), pH, and sediment salinity collectively controlled the Si fractionations in coastal wetland sediments. Our research optimizes sediment Si fractionation procedure and provides insights into the role of sedimentary Si fractions in controlling Si dynamics and knowledge for unraveling the biogeochemical Si cycling in coastal ecosystems.
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Affiliation(s)
- Xiangwei Zhao
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China; Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, PR China.
| | - Lukas Van Zwieten
- Wollongbar Primary Industries Institute, NSW Department of Primary Industries, Australia
| | - Yidong Wang
- Tianjin Key Laboratory of Water Resources and Environment, School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Xiangbin Ran
- Research Center for Marine Ecology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China
| | - Qian Hao
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Juqin Zhang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Zimin Li
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, Shaanxi 710061, China; Earth and Life Institute, Soil Science, Université catholique de Louvain (UCLouvain), Croix du Sud 2, L7.05.10, 1348 Louvain-La-Neuve, Belgium
| | - Jun Sun
- Institute for Advanced Marine Research, China University of Geosciences, Guangzhou 511462, China
| | - Yuqiu Wei
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Lele Wu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Shuyan Liu
- National Nature Reserve Management Center of Liujiang Basin Geological Relics, Qinhuangdao, China
| | - Cong-Qiang Liu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China; Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, PR China
| | - Yuntao Wu
- College of Ecology, Lishui University, Lishui, Zhejiang 323000, China.
| | - Hailong Wang
- School of Environmental and Chemical Engineering, Foshan University, Foshan, China; Guangdong Provincial Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
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9
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Xiao J, Zheng YC, Zhao JW, Cui CH, Wang HJ, Sun Q, Ma J, Ma YS, Song Z, Xiao ZJ, Li CW. [Use of the ETV6/RUNX1 probe to verify the performance of the fluorescence in situ hybridization probe before clinical detection]. Zhonghua Xue Ye Xue Za Zhi 2024; 45:48-53. [PMID: 38527838 DOI: 10.3760/cma.j.cn121090-20230721-00015] [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] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Objective: To explore the standardized performance of a FISH probe before clinical detection. Methods: The probe sensitivity and specificity of ETV6/RUNX1 were analyzed via interphase and metaphase FISH in 20 discarded healthy bone marrow samples. The threshold system of the probe was established using an inverse beta distribution, and an interpretation standard was established. Finally, a parallel-controlled polymerase chain reaction detection study was conducted on 286 bone marrow samples from patients at our hospital. The clinical sensitivity, specificity, and diagnostic coincidence rate of ETV6/RUNX1 FISH detection were analyzed, and the diagnostic consistency of the two methods was analyzed by the kappa test. Results: The probe sensitivity and specificity of the ETV6/RUNX1 probe were 98.47% and 100%, respectively. When 50, 100, and 200 cells were counted, the typical positive signal pattern cutoffs were 5.81%, 2.95%, and 1.49%, respectively, and the atypical positive signal pattern cutoffs were 13.98%, 9.75%, and 6.26%, respectively. The clinical sensitivity of FISH was 96.1%, clinical specificity was 99.6%, diagnostic coincidence rate was 99.00%, diagnostic consistency test kappa value was 0.964, and P value was <0.001. Conclusion: For FISH probes without a national medical device registration certificate, standardized performance verification and methodology performance verification can be performed using laboratory developed test verification standards to ensure a reliable and accurate reference basis for clinical diagnosis and treatment.
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Affiliation(s)
- J Xiao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Y C Zheng
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J W Zhao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - C H Cui
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H J Wang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Sun
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Ma
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Y S Ma
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z Song
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z J Xiao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - C W Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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10
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Li Q, Song Z, Xia S, Kuzyakov Y, Yu C, Fang Y, Chen J, Wang Y, Shi Y, Luo Y, Li Y, Chen J, Wang W, Zhang J, Fu X, Vancov T, Van Zwieten L, Liu CQ, Wang H. Microbial Necromass, Lignin, and Glycoproteins for Determining and Optimizing Blue Carbon Formation. Environ Sci Technol 2024; 58:468-479. [PMID: 38141044 DOI: 10.1021/acs.est.3c08229] [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] [Indexed: 12/24/2023]
Abstract
Coastal wetlands contribute to the mitigation of climate change through the sequestration of "blue carbon". Microbial necromass, lignin, and glycoproteins (i.e., glomalin-related soil proteins (GRSP)), as important components of soil organic carbon (SOC), are sensitive to environmental change. However, their contributions to blue carbon formation and the underlying factors remain largely unresolved. To address this paucity of knowledge, we investigated their contributions to blue carbon formation along a salinity gradient in coastal marshes. Our results revealed decreasing contributions of microbial necromass and lignin to blue carbon as the salinity increased, while GRSP showed an opposite trend. Using random forest models, we showed that their contributions to SOC were dependent on microbial biomass and resource stoichiometry. In N-limited saline soils, contributions of microbial necromass to SOC decreased due to increased N-acquisition enzyme activity. Decreases in lignin contributions were linked to reduced mineral protection offered by short-range-ordered Fe (FeSRO). Partial least-squares path modeling (PLS-PM) further indicated that GRSP could increase microbial necromass and lignin formation by enhancing mineral protection. Our findings have implications for improving the accumulation of refractory and mineral-bound organic matter in coastal wetlands, considering the current scenario of heightened nutrient discharge and sea-level rise.
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Affiliation(s)
- Qiang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300192, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300192, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
| | - Shaopan Xia
- Institute of Resource, Ecosystem and Environment of Agriculture, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Yakov Kuzyakov
- Department of Soil Science of Temperate Ecosystems, Department of Agricultural Soil Science, University of Goettingen, Göttingen 37077, Germany
- Institute of Environmental Sciences, Kazan Federal University, Kazan 420049, Russia
- Peoples Friendship University of Russia (RUDN University), Moscow 117198, Russia
| | - Changxun Yu
- Department of Biology and Environmental Science, Linnaeus University, Kalmar 39231, Sweden
| | - Yunying Fang
- Australian Rivers Institute, School of Environment and Science, Griffith University, Nathan 4111, Australia
| | - Ji Chen
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Department of Agroecology, Aarhus University, Tjele 8830, Denmark
| | - Yidong Wang
- Tianjin Key Laboratory of Water Resources and Environment, & School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Yu Shi
- School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Yu Luo
- Institute of Soil & Water Resources and Environmental Science, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China
| | - Yongchun Li
- School of Environmental and Resource Sciences, Zhejiang A&F University, Zhejiang, Hangzhou 311300, China
| | - Junhui Chen
- School of Environmental and Resource Sciences, Zhejiang A&F University, Zhejiang, Hangzhou 311300, China
| | - Wei Wang
- Department of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jianchao Zhang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300192, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
| | - Xiaoli Fu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300192, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
| | - Tony Vancov
- NSW Department of Planning, Industry & Environment, Elizabeth Macarthur Agricultural Institute, Menangle, NSW 2568, Australia
| | - Lukas Van Zwieten
- Wollongbar Primary Industries Institute, NSW Department of Primary Industries, Wollongbar, NSW 2477, Australia
| | - Cong-Qiang Liu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300192, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China
| | - Hailong Wang
- Institute of Soil & Water Resources and Environmental Science, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China
- School of Environmental and Chemical Engineering, Foshan University, Foshan, Guangdong 528000, China
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11
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Shen X, Shen M, Wu C, Peñuelas J, Ciais P, Zhang J, Freeman C, Palmer PI, Liu B, Henderson M, Song Z, Sun S, Lu X, Jiang M. Critical role of water conditions in the responses of autumn phenology of marsh wetlands to climate change on the Tibetan Plateau. Glob Chang Biol 2024; 30:e17097. [PMID: 38273510 DOI: 10.1111/gcb.17097] [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] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/24/2023] [Accepted: 11/29/2023] [Indexed: 01/27/2024]
Abstract
The Tibetan Plateau, housing 20% of China's wetlands, plays a vital role in the regional carbon cycle. Examining the phenological dynamics of wetland vegetation in response to climate change is crucial for understanding its impact on the ecosystem. Despite this importance, the specific effects of climate change on wetland vegetation phenology in this region remain uncertain. In this study, we investigated the influence of climate change on the end of the growing season (EOS) of marsh wetland vegetation across the Tibetan Plateau, utilizing satellite-derived Normalized Difference Vegetation Index (NDVI) data and observational climate data. We observed that the regionally averaged EOS of marsh vegetation across the Tibetan Plateau was significantly (p < .05) delayed by 4.10 days/decade from 2001 to 2020. Warming preseason temperatures were found to be the primary driver behind the delay in the EOS of marsh vegetation, whereas preseason cumulative precipitation showed no significant impact. Interestingly, the responses of EOS to climate change varied spatially across the plateau, indicating a regulatory role for hydrological conditions in marsh phenology. In the humid and cold central regions, preseason daytime warming significantly delayed the EOS. However, areas with lower soil moisture exhibited a weaker or reversed delay effect, suggesting complex interplays between temperature, soil moisture, and EOS. Notably, in the arid southwestern regions of the plateau, increased preseason rainfall directly delayed the EOS, while higher daytime temperatures advanced it. Our results emphasize the critical role of hydrological conditions, specifically soil moisture, in shaping marsh EOS responses in different regions. Our findings underscore the need to incorporate hydrological factors into terrestrial ecosystem models, particularly in cold and dry regions, for accurate predictions of marsh vegetation phenological responses to climate change. This understanding is vital for informed conservation and management strategies in the face of current and future climate challenges.
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Affiliation(s)
- Xiangjin Shen
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Miaogen Shen
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Chaoyang Wu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Josep Peñuelas
- CREAF, Cerdanyola del Vallès, Barcelona, Spain
- CSIC, Global Ecology Unit CREAF-CSIC- UAB, Barcelona, Spain
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Jiaqi Zhang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chris Freeman
- School of Natural Sciences, Bangor University, Bangor, UK
| | - Paul I Palmer
- School of GeoSciences, University of Edinburgh, Edinburgh, UK
- National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
| | - Binhui Liu
- College of Forestry, Northeast Forestry University, Harbin, China
| | - Mark Henderson
- Mills College, Northeastern University, Oakland, California, USA
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
| | - Shaobo Sun
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
| | - Xianguo Lu
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Ming Jiang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
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12
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Zhao JY, Zhang LL, Kuang ZX, Xu J, Wang WW, Pan H, Gao Z, Li WW, Fang LW, Song Z, Shi J. [Evaluation of the clinical manifestations of COVID-19 in patients with aplastic anemia undergoing immunosuppressive therapy: a prospective cohort study (NICHE)]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:900-905. [PMID: 38185518 PMCID: PMC10753251 DOI: 10.3760/cma.j.issn.0253-2727.2023.11.003] [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] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Indexed: 01/09/2024]
Abstract
Objective: To investigate the clinical features of coronavirus disease 2019 (COVID-19) in patients with aplastic anemia (AA) undergoing immunosuppressive therapy (IST) . Methods: In this prospective cohort study, we collected the demographic and clinical data of patients with AA and COVID-19 from December 1, 2022, to January 31, 2023. We described the clinical features of COVID-19 among patients with AA and evaluated the effects of IST on the signs and severity of COVID-19. Results: A total of 170 patients with AA and COVID-19 were included. The common early symptoms, including fever, dizziness or headache, muscle or body aches, and sore throat, disappeared within 1-2 weeks. Approximately 25% of the patients had persistent fatigue within 2 weeks. Many patients experienced cough after an initial 1-3 days of infection, which lasted for more than 2 weeks. There were no differences in the duration of total fever episodes and maximum body temperature when patients were stratified according to whether or not they underwent IST, by IST duration, or by use of anti-lymphocyte globulin (ALG) (P>0.05). No differences were observed in the occurrence of symptoms in either the early or recovery stages when patients with AA were stratified according to whether or not they underwent IST, or by IST duration (P>0.05). However, patients who received ALG had fewer fever episodes within 1 week after infection (P=0.035) and more sore throat episodes within 2 weeks after infection (P=0.015). There were no other significant differences in clinical symptoms between patients who did and patients who did not receive ALG (P>0.05) . Conclusion: The majority of patients with AA and COVID-19 recovered within 2 weeks of noticing symptoms when treated with IST.
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Affiliation(s)
- J Y Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z X Kuang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - W W Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - W W Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L W Fang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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13
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Maxwell TL, Rovai AS, Adame MF, Adams JB, Álvarez-Rogel J, Austin WEN, Beasy K, Boscutti F, Böttcher ME, Bouma TJ, Bulmer RH, Burden A, Burke SA, Camacho S, Chaudhary DR, Chmura GL, Copertino M, Cott GM, Craft C, Day J, de Los Santos CB, Denis L, Ding W, Ellison JC, Ewers Lewis CJ, Giani L, Gispert M, Gontharet S, González-Pérez JA, González-Alcaraz MN, Gorham C, Graversen AEL, Grey A, Guerra R, He Q, Holmquist JR, Jones AR, Juanes JA, Kelleher BP, Kohfeld KE, Krause-Jensen D, Lafratta A, Lavery PS, Laws EA, Leiva-Dueñas C, Loh PS, Lovelock CE, Lundquist CJ, Macreadie PI, Mazarrasa I, Megonigal JP, Neto JM, Nogueira J, Osland MJ, Pagès JF, Perera N, Pfeiffer EM, Pollmann T, Raw JL, Recio M, Ruiz-Fernández AC, Russell SK, Rybczyk JM, Sammul M, Sanders C, Santos R, Serrano O, Siewert M, Smeaton C, Song Z, Trasar-Cepeda C, Twilley RR, Van de Broek M, Vitti S, Antisari LV, Voltz B, Wails CN, Ward RD, Ward M, Wolfe J, Yang R, Zubrzycki S, Landis E, Smart L, Spalding M, Worthington TA. Global dataset of soil organic carbon in tidal marshes. Sci Data 2023; 10:797. [PMID: 37952023 PMCID: PMC10640612 DOI: 10.1038/s41597-023-02633-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 06/14/2023] [Accepted: 10/11/2023] [Indexed: 11/14/2023] Open
Abstract
Tidal marshes store large amounts of organic carbon in their soils. Field data quantifying soil organic carbon (SOC) stocks provide an important resource for researchers, natural resource managers, and policy-makers working towards the protection, restoration, and valuation of these ecosystems. We collated a global dataset of tidal marsh soil organic carbon (MarSOC) from 99 studies that includes location, soil depth, site name, dry bulk density, SOC, and/or soil organic matter (SOM). The MarSOC dataset includes 17,454 data points from 2,329 unique locations, and 29 countries. We generated a general transfer function for the conversion of SOM to SOC. Using this data we estimated a median (± median absolute deviation) value of 79.2 ± 38.1 Mg SOC ha-1 in the top 30 cm and 231 ± 134 Mg SOC ha-1 in the top 1 m of tidal marsh soils globally. This data can serve as a basis for future work, and may contribute to incorporation of tidal marsh ecosystems into climate change mitigation and adaptation strategies and policies.
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Grants
- W912HZ2020070 United States Department of Defense | United States Army | US Army Corps of Engineers | Engineer Research and Development Center (U.S. Army Engineer Research and Development Center)
- 84375 NRF | South African Agency for Science and Technology Advancement (SAASTA)
- The Nature Conservancy through the Bezos Earth Fund and other donor support
- Nelson Mandela University
- State Research Agency of Spain (AEI; CGL2007-64915), the Mancomunidad de los Canales del Taibilla (MCT), and the Science and Technology Agency of the Murcia Region (Seneca Foundation; 00593/PI/04 & 08739/PI/08).
- Scottish Government and UK Natural Environment Research Council C-SIDE project (grant NE/R010846/1)
- COOLSTYLE/CARBOSTORE project
- New Zealand Ministry for Business, Innovation and Employment Contract #C01X2109
- Portuguese national funds from FCT - Foundation for Science and Technology through projects UIDB/04326/2020, UIDP/04326/2020, LA/P/0101/2020, and 2020.03825.CEECIND
- German Research Foundation (DFG project number: GI 171/25-1)
- State Research Agency of Spain (AEI; CGL2007-64915), the Mancomunidad de los Canales del Taibilla (MCT), the Science and Technology Agency of the Murcia Region (Seneca Foundation; 00593/PI/04 & 08739/PI/08), and a Ramón y Cajal contract from the Spanish Ministry of Science and Innovation (RYC2020-029322-I)
- Velux foundation (#28421, Blå Skove – Havets Skove som kulstofdræn)
- LIFE ADAPTA BLUES project Ref. LIFE18 CCA/ES/001160
- LIFE ADAPTA BLUES project Ref. LIFE18 CCA/ES/001160, support of national funds through Fundação para a Ciência e Tecnologia, I.P. (FCT), under the projects UIDB/04292/2020, UIDP/04292/2020, granted to MARE, and LA/P/0069/2020, granted to the Associate Laboratory ARNET
- Financial support provided by the Welsh Government and Higher Education Funding Council for Wales through the Sêr Cymru National Research Network for Low Carbon, Energy and Environment; as well as the Spanish Ministry of Science and Innovation (project PID2020-113745RB-I00) and FEDER
- South African Department of Science and Innovation (DSI)—National Research Foundation (NRF) Research Chair in Shallow Water Ecosystems (UID: 84375), and the Nelson Mandela University
- I+D+i projects RYC2019-027073-I and PIE HOLOCENO 20213AT014 funded by MCIN/AEI/10.13039/501100011033 and FEDER
- Funding support from the Scottish Government and UK Natural Environment Research Council C-SIDE project (grant NE/R010846/1)
- Xunta de Galicia (GRC project IN607A 2021-06)
- U.S. Army Engineering, Research and Development Center (ACTIONS project, W912HZ2020070)
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Affiliation(s)
- Tania L Maxwell
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, UK.
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
| | - André S Rovai
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, 70803, USA.
- US Army Engineer Research and Development Center, Vicksburg, MS, 39183, USA.
| | - Maria Fernanda Adame
- Australian Rivers Institute, Centre for Marine and Coastal Research, Griffith University, Nathan, QLD, 4117, Australia
| | - Janine B Adams
- DSI-NRF Research Chair in Shallow Water Ecosystems, Institute for Coastal Marine Research, Nelson Mandela University, PO Box 77000, Gqeberha, 6031, South Africa
| | - José Álvarez-Rogel
- Department of Agricultural Engineering of the E.T.S.I.A. and Soil Ecology and Biotechnology Unit of the I.B.V., Technical University of Cartagena, 30203, Cartagena, Spain
| | - William E N Austin
- School of Geography and Sustainable Development, University of St Andrews, KY16 9AL, St Andrews, UK
- Scottish Association for Marine Science, Oban, Argyll, PA37 1QA, UK
| | - Kim Beasy
- College of Arts, Law and Education, University of Tasmania, Hobart, Tasmania, 7005, Australia
| | - Francesco Boscutti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle Scienze 206, Udine, 33100, Italy
| | - Michael E Böttcher
- Geochemistry and Isotope Biogeochemistry Group, Department of Marine Geology, Leibniz Institute for Baltic Sea Research (IOW), Seestrasse 15, D-18119, Warnemünde, Germany
- Marine Geochemistry, University of Greifswald, Friedrich-Ludwig-Jahn Str. 17a, D-17489, Greifswald, Germany
- Interdisciplinary Faculty, University of Rostock, Albert-Einstein-Strase 21, D-18059, Rostock, Germany
| | - Tjeerd J Bouma
- Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research (NIOZ), 4401 NT, Yerseke, The Netherlands
- Faculty of Geosciences, Department of Physical Geography, Utrecht University, 3508 TC, Utrecht, The Netherlands
- Delta Academy Applied Research Centre, HZ University of Applied Sciences, Postbus 364, 4380 AJ, Vlissingen, The Netherlands
| | | | | | - Shannon A Burke
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, D04 V1W8, Dublin, Ireland
| | - Saritta Camacho
- CIMA - Centro de Investigação Marinha e Ambiental, Faro, Portugal
| | | | - Gail L Chmura
- McGill University Department of Geography, Montreal, Canada
| | - Margareth Copertino
- Institute of Oceanography - Federal University of Rio Grande, Rio Grande, Brazil
- Brazilian Network for Global Change Studies - Rede CLIMA, Rio Grande, Brazil
| | - Grace M Cott
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, D04 V1W8, Dublin, Ireland
| | - Christopher Craft
- O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, USA
- University of Georgia Marine Institute, Sapelo Island, Georgia, USA
| | - John Day
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, 70803, USA
| | | | - Lionel Denis
- Univ. Littoral Côte d'Opale, CNRS, Univ. Lille, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, 32, Avenue Foch, F-62930, Wimereux, France
| | - Weixin Ding
- Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Joanna C Ellison
- School of Geography, Planning Spatial Sciences, University of Tasmania, Launceston, Tasmania, 7250, Australia
| | - Carolyn J Ewers Lewis
- Department of Environmental Sciences, University of Virginia, 221 McCormick Road, Charlottesville, Virginia, 22903, USA
| | - Luise Giani
- Institute for Biology and Environmental Sciences, Carl von Ossietzky University of Oldenburg, Ammerländer Heerstrase 114-118, D-26129, Oldenburg, Germany
| | - Maria Gispert
- Department of Chemical Engineering, Agriculture and Food Technology, Universitat de Girona, 17003, Girona, Spain
| | - Swanne Gontharet
- LOCEAN UMR 7159 Sorbonne Université/CNRS/IRD/MNHN, 4 place Jussieu - boite 100, F-75252, Paris, France
| | | | - M Nazaret González-Alcaraz
- Department of Agricultural Engineering of the E.T.S.I.A. and Soil Ecology and Biotechnology Unit of the I.B.V., Technical University of Cartagena, 30203, Cartagena, Spain
| | - Connor Gorham
- School of Sciences Centre for Marine Ecosystems Research, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
| | | | - Anthony Grey
- School of Chemical Science, Dublin City University, Dublin, Ireland
| | - Roberta Guerra
- Department of Physics and Astronomy (DIFA), Alma Mater Studiorum - Università di Bologna, Bologna, Italy
| | - Qiang He
- Fudan University, Shanghai, China
| | | | - Alice R Jones
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
- The Environment Institute, Adelaide, Australia
| | - José A Juanes
- IHCantabria, Instituto de Hidráulica Ambiental de la Universidad de Cantabria, PCTCAN, 39011, Santander, Spain
| | - Brian P Kelleher
- School of Chemical Science, Dublin City University, Dublin, Ireland
| | - Karen E Kohfeld
- School of Resource and Environmental Management, Simon Fraser University, Burnaby, V5A 1S6, Canada
- School of Environmental Science, Simon Fraser University, Burnaby, V5A 1S6, Canada
| | | | - Anna Lafratta
- School of Sciences Centre for Marine Ecosystems Research, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
| | - Paul S Lavery
- School of Sciences Centre for Marine Ecosystems Research, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
- Centro de Estudios Avanzados de Blanes, Consejo Superior de Investigaciones Científicas (CEAB-CSIC), 17300, Blanes, Catalunya, Spain
| | - Edward A Laws
- Department of Environmental Sciences, Louisiana State University, Baton Rouge, USA
| | | | | | | | - Carolyn J Lundquist
- National Institute of Water and Atmospheric Research (NIWA), Hamilton, 3251, New Zealand
- School of Environment, University of Auckland, New Zealand, Auckland, 1142, New Zealand
| | - Peter I Macreadie
- Deakin University, Centre for Marine Science, School of Life and Environmental Sciences, Burwood, Victoria, 3125, Australia
| | - Inés Mazarrasa
- IHCantabria, Instituto de Hidráulica Ambiental de la Universidad de Cantabria, PCTCAN, 39011, Santander, Spain
| | | | - Joao M Neto
- MARE - Marine and Environmental Sciences Centre/ARNET - Aquatic Research Network, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Juliana Nogueira
- LARAMG - Radioecology and Climate Change Laboratory, Department of Biophysics and Biometry, Rio de Janeiro State University, Rua São Francisco Xavier 524, 20550-013, Rio de Janeiro, RJ, Brazil
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 00, Prague, Czech Republic
| | - Michael J Osland
- U.S. Geological Survey, Wetland and Aquatic Research Center, Lafayette, Louisiana, 70506, USA
| | - Jordi F Pagès
- Centro de Estudios Avanzados de Blanes, Consejo Superior de Investigaciones Científicas (CEAB-CSIC), 17300, Blanes, Catalunya, Spain
| | - Nipuni Perera
- Department of Zoology and Environment Sciences, University of Colombo, Colombo, 03, Sri Lanka
| | | | - Thomas Pollmann
- Institute for Biology and Environmental Sciences, Carl von Ossietzky University of Oldenburg, Ammerländer Heerstrase 114-118, D-26129, Oldenburg, Germany
| | - Jacqueline L Raw
- DSI-NRF Research Chair in Shallow Water Ecosystems, Institute for Coastal Marine Research, Nelson Mandela University, PO Box 77000, Gqeberha, 6031, South Africa
| | - María Recio
- IHCantabria, Instituto de Hidráulica Ambiental de la Universidad de Cantabria, PCTCAN, 39011, Santander, Spain
| | - Ana Carolina Ruiz-Fernández
- Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Sophie K Russell
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
- The Environment Institute, Adelaide, Australia
| | | | - Marek Sammul
- Elva Gymnasium, Puiestee 2, Elva, 61505, Estonia
| | - Christian Sanders
- National Marine Science Centre, School of Environment, Science and Engineering, Southern Cross University, P.O. Box 157, Coffs Harbour, NSW, 2540, Australia
| | - Rui Santos
- Centre of Marine Sciences of Algarve, University of Algarve, Faro, Portugal
| | - Oscar Serrano
- School of Sciences Centre for Marine Ecosystems Research, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
- Centro de Estudios Avanzados de Blanes, Consejo Superior de Investigaciones Científicas (CEAB-CSIC), 17300, Blanes, Catalunya, Spain
| | - Matthias Siewert
- Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
| | - Craig Smeaton
- School of Geography and Sustainable Development, University of St Andrews, KY16 9AL, St Andrews, UK
| | - Zhaoliang Song
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
| | - Carmen Trasar-Cepeda
- Departamento de Suelos, Biosistemas y Ecología Agroforestal, MBG sede Santiago (CSIC), Apartado 122, E-15780, Santiago de Compostela, Spain
| | - Robert R Twilley
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Marijn Van de Broek
- Department of Environmental Systems Science, ETH Zurich, 8092, Zürich, Switzerland
| | - Stefano Vitti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle Scienze 206, Udine, 33100, Italy
- Department of Life Sciences, University of Trieste, Via L. Giorgieri 10, 34127, Trieste, Italy
| | - Livia Vittori Antisari
- Dipartimento di Scienze e Tecnologie Agro-alimentari, Viale G. Fanin, 40 - 40127, Bologna, Italy
| | - Baptiste Voltz
- Univ. Littoral Côte d'Opale, CNRS, Univ. Lille, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, 32, Avenue Foch, F-62930, Wimereux, France
| | - Christy N Wails
- Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, 24060, USA
| | - Raymond D Ward
- Centre For Aquatic Environments, University of Brighton, Moulsecoomb, Brighton, BN2 4GJ, UK
- Institute of Agriculture and Environmental Sciences, Estonia University of Life Sciences, Kreutzwaldi 5, EE-51014, Tartu, Estonia
| | - Melissa Ward
- University of Oxford, Oxford, UK
- San Diego State University, San Diego, USA
| | - Jaxine Wolfe
- Smithsonian Environmental Research Center, Edgewater, USA
| | - Renmin Yang
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
| | - Sebastian Zubrzycki
- Center of Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany
| | | | - Lindsey Smart
- The Nature Conservancy, Arlington, VA, USA
- Center for Geospatial Analytics, College of Natural Resources, North Carolina State University, 2800 Faucette Drive, Raleigh, NC, 27695, USA
| | - Mark Spalding
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, UK
- The Nature Conservancy, Strada delle Tolfe, 14, Siena, 53100, Italy
| | - Thomas A Worthington
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, UK
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Liu N, Ji X, Song Z, Deng X, Wang J. Effect of dietary lutein on the egg production, fertility, and oxidative injury indexes of aged hens. Anim Biosci 2023; 36:1221-1227. [PMID: 37170520 PMCID: PMC10330968 DOI: 10.5713/ab.22.0473] [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: 12/18/2022] [Revised: 02/20/2023] [Accepted: 03/09/2023] [Indexed: 05/13/2023] Open
Abstract
OBJECTIVE The present study aimed to investigate the effect of dietary lutein on egg production, follicles, reproductive hormones, fertility, hatchability, and oxidative injury indexes of hens. METHODS Treatments consisted of a control diet (CON) and three lutein-supplementing diets at 25 (L1), 50 (L2), or 75 (L3) mg/kg of diet. Egg production was measured using 576 Arbor Acres breeder hens at 61 to 65 wk and follicles grades, reproductive hormones, fertility, hatchability, tissue lutein contents, and oxidative injury indexes were determined at 65 wk. RESULTS The results showed that at 65 wk, lutein- supplementing diets increased (p<0.05) egg production, follicular grades, fertility, hatchability, estradiol (E2), luteinizing hormone, progesterone (PROG), lutein content in the serum and yolk, compared to CON. L2 and L3 showed more pronounced (p<0.05) effects on egg production, PROG, and yolk lutein content than L1. With the increase of lutein doses from 25 to 75 mg/kg, there were linear increases (p<0.05) in egg production, lutein content, and PROG, and a quadratic trend (p<0.05) in E2. For the oxidative injury products, lutein-supplementing diets decreased (p<0.05) malondialdehyde (MDA) and protein carbonyl (PCO) in the serum, MDA and 8-hydroxy 2 deoxyguanosine (8-OHdG) in the yolk. There were linear decreases (p<0.05) in 8-OHdG in the serum, MDA, PCO, and 8-OHdG in the yolk, a quadratic trend (p<0.05) on serum 8-OHdG. CONCLUSION It is concluded that lutein supplementation can improve egg production and fertility by beneficially regulating reproductive hormones and oxidative status in aged hens.
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Affiliation(s)
- N. Liu
- Department of Animal Science, Henan University of Science and Technology, Luoyang, Henan 471000,
China
- National Engineering Research Center of Biological Feed, Beijing 100081,
China
| | - X. Ji
- Department of Animal Science, Henan University of Science and Technology, Luoyang, Henan 471000,
China
| | - Z. Song
- Department of Animal Science, Henan University of Science and Technology, Luoyang, Henan 471000,
China
| | - X. Deng
- National Engineering Research Center of Biological Feed, Beijing 100081,
China
| | - J. Wang
- Department of Animal Science, Henan University of Science and Technology, Luoyang, Henan 471000,
China
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15
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Song Z, Dong H, Ma N, Ren Y, Jiang B. [Value of Improved Mayo Endoscopic Score for evaluating treatment efficacy for active ulcerative colitis]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1204-1213. [PMID: 37488803 PMCID: PMC10366518 DOI: 10.12122/j.issn.1673-4254.2023.07.17] [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] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To assess the value of Improved Mayo Endoscopic Score (IMES) for evaluation of treatment efficacy for active ulcerative colitis (UC). METHODS We retrospectively analyzed the clinical and endoscopic data of 103 patients diagnosed with active UC in Beijing Tsinghua Changgung Hospital from January, 2015 to December, 2020. The severity of endoscopic lesions was determined by Mayo Endoscopic Score and the Ulcerative Colitis Endoscopic Index of Severity (UCEIS), and the area of the endoscopic lesions was evaluated based on the Montreal classification system. The IMES was established by combining the MES with the Montreal classification. RESULTS Univariate analysis suggested that young patients (<40 years old), patients with extensive disease type (E3), patients with high endoscopic scores (MES=3, UCEIS>4, and IMES>4), and patients receiving advanced drug therapy (with systemic hormones, immunosuppressants, immunomodulators, and biological agents, etc.) had lower clinical and endoscopic remission rates. COX survival analysis showed that IMES≤4 was an independent risk factor for clinical and endoscopic remission. ROC curve indicated that the predictive value of IMSE≤4 for clinical and endoscopic remission (AUC=0.7793 and 0.7095, respectively; P<0.01) was better than that of Montreal (AUC=0.7357 and 0.6847, respectively; P<0.01), MES=2 (AUC=0.6671 and 0.5929, respectively; P<0.01), and UCEIS≤4 (AUC=0.6823 and 0.6459, respectively; P<0.01); IMES=5 had a better predictive value for patients with active UC undergoing colectomy tham E3 and MES=3. CONCLUSION IMES has good value in evaluating treatment efficacy for active UC.
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Affiliation(s)
- Z Song
- Department of Gastroenterology, Yulin First Hospital, Yulin 719000, China
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - H Dong
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - N Ma
- Department of Gastroenterology, Yulin First Hospital, Yulin 719000, China
| | - Y Ren
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - B Jiang
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
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16
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Gao YY, Jia YJ, Qi BQ, Zhang XY, Chen YM, Zou Y, Guo Y, Yang WY, Zhang L, Wang SC, Zhang RR, Liu TF, Song Z, Zhu XF, Chen XJ. [Genomics of next generation sequencing in pediatric B-acute lymphoblastic leukemia and its impact on minimal residual disease]. Zhonghua Er Ke Za Zhi 2023; 61:527-532. [PMID: 37312464 DOI: 10.3760/cma.j.cn112140-20230417-00278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To describe the gene mutation profile of newly diagnosed pediatric B-acute lymphoblastic leukemia (B-ALL) and analyze its effect on minimal residual disease (MRD). Methods: A total of 506 newly diagnosed B-ALL children treated in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences from September 2018 to July 2021 were enrolled in this retrospective cohort study. The enrolled children were divided into MRD ≥1.00% group and <1.00% group according to MRD results on the 19th day since chemotherapy, and MRD ≥0.01% group and <0.01% group according to MRD results on the 46th day. Clinical characteristics and gene mutations of two groups were compared. Comparisons between groups were performed with chi-square test or Fisher's exact test. Independent risk factors of MRD results on the 19th day and the 46th day were analyzed by Logistic regression model. Results: Among all 506 patients, there were 318 males and 188 females. On the 19th day, there were 114 patients in the MRD ≥1.00% group and 392 patients in the MRD <1.00% group. On the 46th day, there were 76 patients in the MRD ≥0.01% group and 430 patients in the MRD <0.01% group. A total of 187 gene mutations were detected in 487 (96.2%) of 506 children. The most common gene mutations were signal transduction-related KRAS gene mutations in 111 cases (22.8%) and NRAS gene mutations in 99 cases (20.3%). Multivariate analysis showed that PTPN11 (OR=1.92, 95%CI 1.00-3.63), KMT2A (OR=3.51, 95%CI 1.07-11.50) gene mutations and TEL-AML1 (OR=0.48, 95%CI 0.27-0.87), BCR-ABL1 (OR=0.27, 95%CI 0.08-0.92) fusion genes and age >10 years (OR=1.91, 95%CI 1.12-3.24) were independent influencing factors for MRD ≥1.00% on the 19th day. BCORL1 (OR=2.96, 95%CI 1.18-7.44), JAK2 (OR=2.99, 95%CI 1.07-8.42) and JAK3 (OR=4.83, 95%CI 1.50-15.60) gene mutations and TEL-AML1 (OR=0.43, 95%CI 0.21-0.87) fusion gene were independent influencing factors for MRD ≥0.01% on the 46th day. Conclusions: Children with B-ALL are prone to genetic mutations, with abnormalities in the RAS signaling pathway being the most common. Signal transduction related PTPN11, JAK2 and JAK3 gene mutations, epigenetic related KMT2A gene mutation and transcription factor related BCORL1 gene mutation are independent risk factors for MRD.
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Affiliation(s)
- Y Y Gao
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y J Jia
- Next Generation Sequencing Preparatory Group, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - B Q Qi
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X Y Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y M Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Zou
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Guo
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - W Y Yang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - L Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - S C Wang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - R R Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - T F Liu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Z Song
- Information and Resource Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X F Zhu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X J Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
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Liu L, Song Z, Tang J, Li Q, Sarkar B, Ellam RM, Wang Y, Zhu X, Bolan N, Wang H. New insight into the mechanisms of preferential encapsulation of metal(loid)s by wheat phytoliths under silicon nanoparticle amendment. Sci Total Environ 2023; 875:162680. [PMID: 36889405 DOI: 10.1016/j.scitotenv.2023.162680] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/02/2023] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
Silicon nanoparticles (SiNPs) have been widely used to immobilize toxic trace metal(loid)s (TTMs) in contaminated croplands. However, the effect and mechanisms of SiNP application on TTM transportation in response to phytolith formation and phytolith-encapsulated-TTM (PhytTTM) production in plants are unclear. This study demonstrates the promotion effect of SiNP amendment on phytolith development and explores the associated mechanisms of TTM encapsulation in wheat phytoliths grown on multi-TTM contaminated soil. The bioconcentration factors between organic tissues and phytoliths of As and Cr (> 1) were significantly higher than those of Cd, Pb, Zn and Cu, and about 10 % and 40 % of the total As and Cr that bioaccumulated in wheat organic tissues were encapsulated into the corresponding phytoliths under high-level SiNP treatment. These observations demonstrate that the potential interaction of plant silica with TTMs is highly variable among elements, with As and Cr being the two most strongly concentrated TTMs in the phytoliths of wheat treated with SiNPs. The qualitative and semi-quantitative analyses of the phytoliths extracted from wheat tissues suggest that the high pore space and surface area (≈ 200 m2 g-1) of phytolith particles could have contributed to the embedding of TTMs during silica gel polymerization and concentration to form PhytTTMs. The abundant SiO functional groups and high silicate-minerals in phytoliths are dominant chemical mechanisms for the preferential encapsulation of TTMs (i.e., As and Cr) by wheat phytoliths. Notably, the organic carbon and bioavailable Si of soils and the translocation of minerals from soil to plant aerial parts can impact TTM sequestration by phytoliths. Thus, this study has implications for the distribution or detoxification of TTMs in plants via preferential PhytTTM production and biogeochemical cycling of PhytTTMs in contaminated cropland following exogenous Si supplementation.
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Affiliation(s)
- Linan Liu
- College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
| | - Jingchun Tang
- College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Qiang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Binoy Sarkar
- Future Industries Institute, University of South Australia, Mawson Lakes, SA 5095, Australia
| | - Robert Mark Ellam
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Yangyang Wang
- National Demonstration Center for Environmental and Planning, College of Environment & Planning, Henan University, Kaifeng 475004, China
| | - Xiangyu Zhu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Nanthi Bolan
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6001, Australia; The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia
| | - Hailong Wang
- School of Environment and Chemical Engineering, Foshan University, Foshan, Guangdong 528000, China; School of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
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18
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Hao Y, Si J, Wei J, Gu X, Wang W, Zhang Y, Guan Y, Huang H, Xu C, Song Z. 221P Comparison of efficacy and safety of carboplatin combined with nab-paclitaxel or paclitaxel as first-line therapy for advanced thymic epithelial tumors. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00474-4] [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: 04/03/2023]
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19
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Hao Y, Si J, Jin J, Wei J, Xiang J, Xu C, Song Z. 220P Comparison of efficacy and safety of platinum-based chemotherapy as first-line therapy between B3 thymoma and thymic carcinoma. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00473-2] [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: 04/04/2023]
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20
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Hao Y, Sun W, Zeng X, Shi Z, Wang W, Xu C, Song Z. 219P Clinical outcomes for advanced thymoma patients receiving platinum-based chemotherapy as first-line treatment. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00472-0] [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: 04/04/2023]
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21
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Wang Y, Song Z, Zhang S, Yu X, Cui Y, Zhang Z. Primary amyloidosis presenting as unusual cutaneous nodules diagnosed by 18F-FDG PET/CT aided biopsy: a case report. QJM 2023; 116:237-238. [PMID: 36218976 DOI: 10.1093/qjmed/hcac230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 09/29/2022] [Accepted: 10/01/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
- Y Wang
- From the Department of Rheumatology and Clinical Immunology, Peking University First Hospital, No. 8, Xishiku Street, West District, Beijing 100034, China
| | - Z Song
- From the Department of Rheumatology and Clinical Immunology, Peking University First Hospital, No. 8, Xishiku Street, West District, Beijing 100034, China
| | - S Zhang
- Department of Pathology, Peking University First Hospital, No. 8, Xishiku Street, West District, Beijing 100034, China
| | - X Yu
- Department of Nephrology, Peking University First Hospital, No. 8, Xishiku Street, West District, Beijing 100034, China
| | - Y Cui
- Department of Nuclear Medicine, Peking University First Hospital, No. 8, Xishiku Street, West District, Beijing 100034, China
| | - Z Zhang
- From the Department of Rheumatology and Clinical Immunology, Peking University First Hospital, No. 8, Xishiku Street, West District, Beijing 100034, China
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Xia S, Song Z, Wang W, Fan Y, Guo L, Van Zwieten L, Hartley IP, Fang Y, Wang Y, Zhang Z, Liu C, Wang H. Patterns and determinants of plant‐derived lignin phenols in coastal wetlands: implications for organic C accumulation. Funct Ecol 2023. [DOI: 10.1111/1365-2435.14290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Affiliation(s)
- Shaopan Xia
- Institute of Resource, Ecosystem and Environment of Agriculture, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China
- School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim Tianjin University Tianjin China
| | - Zhaoliang Song
- School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim Tianjin University Tianjin China
- Haihe Laboratory of Sustainable Chemical Transformations Tianjin China
| | - Weiqi Wang
- Key Laboratory of Humid Subtropical Eco‐Geographical Process, Ministry of Education Fujian Normal University Fuzhou China
| | - Yaran Fan
- Institute of Resource, Ecosystem and Environment of Agriculture, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China
| | - Laodong Guo
- School of Freshwater Sciences University of Wisconsin‐ Milwaukee Wisconsin United States
| | - Lukas Van Zwieten
- Wollongbar Primary Industries Institute, NSW Department of Primary Industries Australia
| | - Iain P. Hartley
- Geography College of Life and Environmental Sciences, University of Exeter, Rennes Drive Exeter UK
| | - Yin Fang
- State Key Laboratory of Estuarine and Coastal Research (SKLEC) East China Normal University Shanghai China
| | - Yidong Wang
- Tianjin Key Laboratory of Water Resources and Environment Tianjin Normal University Tianjin China
| | - Zhenqing Zhang
- School of Geographic and Environmental Sciences Tianjin Normal University Tianjin China
| | - Cong‐Qiang Liu
- School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim Tianjin University Tianjin China
- Haihe Laboratory of Sustainable Chemical Transformations Tianjin China
| | - Hailong Wang
- School of Environmental and Chemical Engineering Foshan University Foshan Guangdong China
- School of Environmental and Resource Sciences, Zhejiang A&F University Hangzhou Zhejiang China
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Yang X, Song Z, Guo L, Wang J, Ni Y, Li Z, Hao Q, Li Q, Wu L, Kuang W, Liu Y, Ran X, Singh BP, Hartley IP, Wang H. Specific PhytOC fractions in rice straw and consequent implications for potential of phytolith carbon sequestration in global paddy fields. Sci Total Environ 2023; 856:159229. [PMID: 36208770 DOI: 10.1016/j.scitotenv.2022.159229] [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: 08/10/2022] [Revised: 09/28/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
Phytoliths are silica biomineralization products within plants and have been considered as a promising material to sequester carbon (C). However, there is considerable uncertainty and controversy regarding the C content in phytoliths due to the lack of detailed information on variation of C under different extraction procedures. Herein, we established a series of batch digestion experimental procedures coupled with analyses of phytoliths using Scanning Electron Microscopy and Energy-Dispersive X-ray Spectroscopy to divide phytoliths into three fractions. We then reported an approach for standardizing across hundreds of values found in the literature. Combining this standardized approach with C contents in phytoliths extracted from different digestion degrees, we revaluated the potential production rates of phytolith-occluded carbon (PhytOC) input globally in rice paddy fields. The results showed that the C content in recovered phytoliths exhibited a significantly fitting exponential relationship (p < 0.01) with digestion degrees and decreased from 30 to 75 g kg-1 under moderate digestion to <5 g kg-1 under over digestion. On a global scale, the production of total PhytOC in the world paddy fields reached up to (2.71 ± 0.85) × 106 t year-1. Therein, the contribution of sub-stable PhytOC fraction, stable PhytOC fraction, and recalcitrant PhytOC fraction was 63 %, 28 %, and 9 %, respectively. Our results imply that the estimation of phytolith C sequestration potential across the global paddy fields is associated with specific PhytOC fractions. Therefore, further determining the storage time limits of these specific PhytOC fractions after returning to soil will be vital for predicting terrestrial biogeochemical C sequestration potentials of phytoliths.
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Affiliation(s)
- Xiaomin Yang
- Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China; Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang 550025, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China.
| | - Laodong Guo
- School of Freshwater Science, University of Wisconsin-Milwaukee, 600 East Greenfield Avenue, Milwaukee, WI 53204, USA
| | - Jingxu Wang
- Institute of Geography, Henan Academy of Sciences, Zhengzhou 450052, China
| | - Yilun Ni
- Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China; Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Guiyang 550025, China
| | - Zimin Li
- Soil Science and Environment Geochemistry, Earth and Life Institute, Université Catholique de Louvain (UCLouvain), Croix du Sud 2/L7.05.10, 1348 Louvain-la-Neuve, Belgium
| | - Qian Hao
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China
| | - Qiang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China
| | - Lele Wu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China
| | - Wei Kuang
- Hunan Rice Research Institute, Changsha 410125, China
| | - Yang Liu
- Hunan Rice Research Institute, Changsha 410125, China
| | - Xiangbin Ran
- Research Center for Marine Ecology, First Institute of Oceanography, Ministry of Natural Resources, No. 6, Xianxialing Road, Qingdao 266061, China
| | - Bhupinder Pal Singh
- University of New England, School of Environmental and Rural Science, Armidale, NSW 2351, Australia
| | - Iain P Hartley
- Geography, College of Life and Environmental Sciences, University of Exeter, Rennes Drive, Exeter EX4 4RJ, UK
| | - Hailong Wang
- School of Environment and Chemical Engineering, Foshan University, Foshan, Guangdong 528000, China; School of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
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Wen F, Dai P, Song Z, Jin C, Ji X, Hou J, Liu N. Alleviating effect of mulberry leaf 1-deoxynojirimycin on resistin-induced hepatic steatosis and insulin resistance in mice. J Physiol Pharmacol 2022; 73. [PMID: 37087566 DOI: 10.26402/jpp.2022.6.07] [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] [Received: 08/03/2022] [Accepted: 12/31/2022] [Indexed: 04/24/2023]
Abstract
Resistin is upregulated in obese humans and mice, and elevated serum resistin induces insulin resistance and hepatic steatosis. Previous studies have revealed that mulberry 1-deoxynojirimycin (DNJ) is important for a variety of physiological processes, especially carbohydrate and lipid metabolism. However, it remains unclear whether DNJ has a positive effect on insulin resistance and hepatic steatosis, and what the exact mechanism is. Male C57BL/6J mice were treated with resistin with or without DNJ. DNJ reversed the homeostasis model assessment of insulin resistance (HOMA-IR)-induced by resistin and significantly decreased triglyceride levels both in the serum and liver. A histological analysis demonstrated that lipid accumulation significantly decreased in the DNJ group compared to the resistin group. A mechanistic analysis showed that DNJ significantly inhibited the resistin-induced decline in enzyme activities of hormone-sensitive lipase (HSL) and hepatic lipase (HL) in serum and lipoprotein lipase (LPL) in liver. FAS and Acox13α were significantly altered by resistin but restored by DNJ. Furthermore, DNJ partially but significantly restored insulin-stimulated glucose uptake compared with the resistin group, suggesting that DNJ reversed the insulin sensitivity impaired by hyperresistinemia. Treatment of AML12 cells with DNJ significantly restored the expression level and phosphorylation of Akt. The transcriptional levels of InsR and IRS1, as well as the protein levels of InsR and Glut4 and phosphorylation of PI3K and GSK3β, were also normalized in the DNJ-treated group. In conclusion: mulberry DNJ significantly alleviated liver steatosis and insulin resistance in hyperresistinemia.
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Affiliation(s)
- F Wen
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, Henan, P.R. China.
| | - P Dai
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, Henan, P.R. China
| | - Z Song
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, Henan, P.R. China
| | - C Jin
- College of Agriculture/Tree peony, Henan University of Science and Technology, Luoyang, Henan, P.R. China
| | - X Ji
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, Henan, P.R. China
| | - J Hou
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, Henan, P.R. China
| | - N Liu
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, Henan, P.R. China
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25
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Xing J, Fu YH, Song Z, Wang Q, Ma T, Li M, Zhuang Y, Li Z, Zhu YJ, Tang W, Wang SG, Yang N, Wang PF, Zhang K. Predictive model for deep venous thrombosis caused by closed lower limb fracture after thromboprophylactic treatment. Eur Rev Med Pharmacol Sci 2022; 26:8508-8522. [PMID: 36459032 DOI: 10.26355/eurrev_202211_30387] [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: 01/12/2023]
Abstract
OBJECTIVE Currently, there are still no convincing clinical models predicting closed lower extremity fracture-associated deep vein thrombosis in patients treated through thromboprophylactic methods. We aimed at using two retrospective cohorts to develop and externally verify a clinical prediction model for deep vein thrombosis in patients treated with anticoagulants after suffering closed lower extremity fractures. PATIENTS AND METHODS We evaluated the patients' pre- and post-operatively, to accurately determine the predictive power of the biomarkers and clinical risk factors. Two retrospective cohorts were used for the development and external verification of a pre-operative clinical prediction model (development: n = 2,253; verification: n = 833) and post-operative clinical prediction model (development: n = 1,422; verification: n = 449), respectively. RESULTS The C-indices were used to show the predicted incidence of objective thrombosis at the pre- and post-operative stage, which were then compared with the observed incidence of thrombosis in both cohorts. Biomarkers and clinical indicators were included in pre- and post-operative nomograms, which were adequately calibrated in both cohorts. The cross-validated C-indices of the pre- and post-operative clinical prediction models in the verification cohort were 0.706 (95% Cl, 0.67-0.74) and 0.875 (95% Cl, 0.84-0.91), respectively. CONCLUSIONS We present our findings of novel pre- and post-operative nomograms for the prediction of deep venous thrombosis in patients who received thromboprophylaxis after suffering closed lower extremity fractures.
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Affiliation(s)
- J Xing
- Department of Orthopedics and Traumatology, Honghui Hospital, Xi'an Jiaotong University, Shaanxi, China.
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26
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Shi YB, Zhang KL, Song Z. Exceptional spectrum and dynamic magnetization. J Phys Condens Matter 2022; 34:485401. [PMID: 36191568 DOI: 10.1088/1361-648x/ac971f] [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: 06/23/2022] [Accepted: 10/03/2022] [Indexed: 06/16/2023]
Abstract
A macroscopic effect can be induced by a local non-Hermitian term in a many-body system, when it manifests simultaneously level coalescence of a full real degeneracy spectrum, leading to exceptional spectrum. In this paper, we propose a family of systems that support such an intriguing property. It is generally consisted of two arbitrary identical Hermitian sub-lattices in association with unidirectional couplings between them. We show exactly that all single-particle eigenstates coalesce in pairs even only single unidirectional coupling appears. It means that all possible initial states obey the exceptional dynamics, resulting in some macroscopic phenomena, which never appears in a Hermitian system. As an application, we study the dynamic magnetization induced by complex fields in an itinerant electron system. It shows that an initial saturated ferromagnetic state at half-filling can be driven into its opposite state according to the dynamics of high-order exceptional point. Any Hermitian quench term cannot realize a steady opposite saturated ferromagnetic state. Numerical simulations for the dynamical processes of magnetization are performed for several representative situations, including lattice dimensions, global random and local impurity distributions. It shows that the dynamic magnetization processes exhibit universal behavior.
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Affiliation(s)
- Y B Shi
- School of Physics, Nankai University, Tianjin 300071, People's Republic of China
| | - K L Zhang
- School of Physics, Nankai University, Tianjin 300071, People's Republic of China
| | - Z Song
- School of Physics, Nankai University, Tianjin 300071, People's Republic of China
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27
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Xia S, Song Z, Van Zwieten L, Guo L, Yu C, Wang W, Li Q, Hartley IP, Yang Y, Liu H, Wang Y, Ran X, Liu CQ, Wang H. Storage, patterns and influencing factors for soil organic carbon in coastal wetlands of China. Glob Chang Biol 2022; 28:6065-6085. [PMID: 35771205 DOI: 10.1111/gcb.16325] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 12/11/2021] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Soil organic carbon (SOC) in coastal wetlands, also known as "blue C," is an essential component of the global C cycles. To gain a detailed insight into blue C storage and controlling factors, we studied 142 sites across ca. 5000 km of coastal wetlands, covering temperate, subtropical, and tropical climates in China. The wetlands represented six vegetation types (Phragmites australis, mixed of P. australis and Suaeda, single Suaeda, Spartina alterniflora, mangrove [Kandelia obovata and Avicennia marina], tidal flat) and three vegetation types invaded by S. alterniflora (P. australis, K. obovata, A. marina). Our results revealed large spatial heterogeneity in SOC density of the top 1-m ranging 40-200 Mg C ha-1 , with higher values in mid-latitude regions (25-30° N) compared with those in both low- (20°N) and high-latitude (38-40°N) regions. Vegetation type influenced SOC density, with P. australis and S. alterniflora having the largest SOC density, followed by mangrove, mixed P. australis and Suaeda, single Suaeda and tidal flat. SOC density increased by 6.25 Mg ha-1 following S. alterniflora invasion into P. australis community but decreased by 28.56 and 8.17 Mg ha-1 following invasion into K. obovata and A. marina communities. Based on field measurements and published literature, we calculated a total inventory of 57 × 106 Mg C in the top 1-m soil across China's coastal wetlands. Edaphic variables controlled SOC content, with soil chemical properties explaining the largest variance in SOC content. Climate did not control SOC content but had a strong interactive effect with edaphic variables. Plant biomass and quality traits were a minor contributor in regulating SOC content, highlighting the importance of quantity and quality of OC inputs and the balance between production and degradation within the coastal wetlands. These findings provide new insights into blue C stabilization mechanisms and sequestration capacity in coastal wetlands.
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Affiliation(s)
- Shaopan Xia
- Institute of Resource, Ecosystem and Environment of Agriculture, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Zhaoliang Song
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, China
| | - Lukas Van Zwieten
- Wollongbar Primary Industries Institute, NSW Department of Primary Industries, Wollongbar, NSW, Australia
| | - Laodong Guo
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - Changxun Yu
- Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Weiqi Wang
- Key Laboratory of Humid Subtropical Eco-Geographical Process, Ministry of Education, Fujian Normal University, Fuzhou, China
| | - Qiang Li
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Iain P Hartley
- Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Yuanhe Yang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Hongyan Liu
- College of Urban and Environmental Sciences, Peking University, Peking, China
| | - Yidong Wang
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, China
| | - Xiangbin Ran
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Cong-Qiang Liu
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
- Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, China
| | - Hailong Wang
- School of Environment and Chemical Engineering, Foshan University, Foshan, Guangdong, China
- School of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou, Zhejiang, China
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28
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Ran X, Wu W, Song Z, Wang H, Chen H, Yao Q, Xin M, Liu P, Yu Z. Decadal change in dissolved silicate concentration and flux in the Changjiang (Yangtze) River. Sci Total Environ 2022; 839:156266. [PMID: 35644380 DOI: 10.1016/j.scitotenv.2022.156266] [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] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 05/22/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
Silicon (Si) plays an essential role in the biogeochemistry of rivers. This study explored how damming, eutrophication and climate change alters the abundance and flux of DSi in the Changjiang (Yangtze) River based on long-term observations. The results showed that Three Gorges Reservoir (TGR) could enhance DSi transfer only during low-flow time period, and a downstream DSi retention effect by the TGR was found between the Yichang and Jianli stations in the Changjiang River. This resulted in a DSi loss during March and April in the mainstream from Three Gorges Dam (TGD) to Jianli but a DSi addition during July and October along the main channel of the Changjiang River. Long-term data showed a sharp decrease in DSi abundance at the Cuntan, Hankou and Datong stations between the 1960s and 1980s, but a slight increase in DSi between the 1990s and 2010s at these stations. The decrease in DSi during the 1960s -1980s was primarily the result of a decrease trend of silicate weathering, while a slight DSi increase compared to the temperature/DSi relation after the 1990s was largely due to increased DSi retention in the basin by damming and eutrophication. Eutrophication and damming increase DSi trapping in both the river channel and reservoir systems in the low-flow period and thus enhance the nutrient distortion in the coastal ocean.
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Affiliation(s)
- Xiangbin Ran
- Research Center for Marine Ecology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China; Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China.
| | - Wentao Wu
- Research Center for Marine Ecology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Hao Wang
- Research Center for Marine Ecology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China
| | - Hongtao Chen
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China
| | - Qingzhen Yao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China
| | - Ming Xin
- Research Center for Marine Ecology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China
| | - Pengxia Liu
- Ecology and Environment Monitoring and Scientific Research Center of Taihu Basin, East China Sea Ecology and Environment Supervision Authority, Ministry of Ecology and Environment, Shanghai 200120, China
| | - Zhigang Yu
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China
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Lu S, Jian H, Zhang Y, Song Z, Zhao Y, Wang P, Jiang L, Gong Y, Zhou J, Dong X, Yang N, Fang J, Zhuang W, Cang S, Ma R, Shi J, Wu P, Lu J, Xiang Z, Shi Z, Zhang L, Wang Y. OA03.07 Safety and Efficacy of D-1553 in Patients with KRAS G12C Mutated Non-Small Cell Lung Cancer: A Phase 1 Trial. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.026] [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: 11/30/2022]
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30
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Song Z, Zhang M, Ren Y, Iang B. [Improved Mayo Endoscopic Score has a higher value for evaluating clinical severity of ulcerative colitis]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:997-1005. [PMID: 35869761 DOI: 10.12122/j.issn.1673-4254.2022.07.05] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To assess the value of Improved Mayo Endoscopic Score (IMES) for evaluation of the clinical severity of ulcerative colitis (UC). METHODS We retrospectively analyzed the clinical and endoscopic data of 167 patients diagnosed with UC in Beijing Tsinghua Changgung Hospital from January, 2015 to November, 2021. The severity of endoscopic lesions was determined by Mayo Endoscopic Score (MES, 0-3 points) and the Ulcerative Colitis Endoscopic Index of Severity (UCEIS) score (0-8 points), and the scope of endoscopic lesions was evaluated based on the Montreal classification system. The IMES was established by combining the MES with the Montreal classification. RESULTS The IMSE showed stronger correlations with modified Truelove and Witts Disease Severity, Mayo score and partial Mayo score (r=0.712, 0.784, and 0.703, respectively) than MES (r=0.642, 0.754, and 0.604, respectively), Montreal classification (r=0.598, 0.628, and 0.603, respectively) and UCEIS (r= 0.670, 0.767, and 0.677, respectively). ROC curve analysis showed that IMES was superior to MES, Montreal and UCEIS in diagnosis of severe and moderate- to-severe UC. IMES also showed stronger correlations with the laboratory indicators including CRP (r=0.583), WBC (r=0.235), HB (r=-0.280), PLT (r=0.352), ALB (r=-0.396) and ESR (r=0.471) than MES and Montreal classification. An IMES score of 5 was of greater value than a MES score of 3, E3, and UCEIS≥6 for predicting the administration of systemic hormones, immunosuppressants, or surgery in the near future. CONCLUSION IMES can better reflect the clinical severity of UC and has good correlations with the laboratory indicators of the patients.
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Affiliation(s)
- Z Song
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - M Zhang
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - Y Ren
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - B Iang
- Department of Gastroenterology, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
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Zhao X, Yang K, Song Z, He H, Zhang W. [Juglone induces proliferation inhibition and apoptosis of cervical cancer cells via promoting c-Myc ubiquitination]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1026-1031. [PMID: 35869765 DOI: 10.12122/j.issn.1673-4254.2022.07.09] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To observe the expression of c-Myc protein in cervical cancer HeLa cells and explore the effect of juglone on the proliferation and apoptosis of HeLa cells by affecting c-Myc ubiquitination. METHODS HeLa cells treated with different concentrations (0, 10, 20, or 50 μmol/L) of juglone or with 20 μmol/L juglone for different time lengths were examined for expression of c-Myc protein with Western blotting. The half-life of c-Myc protein was determined using cycloheximide (CHX) and c-Myc protein degradation was detected using coimmunoprecipitation. We also assessed the effects of 20 μmol/L juglone combined with 0, 1.0 or 2.0 μmol/L MG132 (a proteasome inhibitor) on c-Myc expression. The effects of 20 μmol/L juglone on the proliferation and apoptosis of HeLa cells with RNA interference-mediated knockdown of c-Myc were evaluated with MTT assay and flow cytometry. RESULTS Treatment with juglone significantly lowered c-Myc protein expression in HeLa cells in a concentration-and time-dependent manner (P < 0.05). Juglone obviously shortened the half-life of c-Myc protein, and the addition of MG132 significantly up-regulated the expression level of c-Myc protein (P < 0.05). Juglone treatment also promoted ubiquitination of c-Myc protein in HeLa cells. Compared with the cells transfected with a negative control construct, the cells transfected with si-c-Myc showed significantly decreased proliferation inhibition and a lowered cell rate with early apoptosis after juglone treatment (P < 0.05). CONCLUSION Juglone inhibits proliferation and promotes apoptosis of HeLa cells by affecting the ubiquitination of c-Myc protein.
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Affiliation(s)
- X Zhao
- Department of Biochemistry, Jilin Medical College, Jilin 132013, China
| | - K Yang
- Department of Biochemistry, Jilin Medical College, Jilin 132013, China
| | - Z Song
- Department of Biochemistry, Jilin Medical College, Jilin 132013, China
| | - H He
- Department of Biochemistry, School of Basic Medicine, Yanbian University, Yanbian 133000, China
| | - W Zhang
- Department of Biochemistry, Jilin Medical College, Jilin 132013, China
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Song Z, Zhang SX, Cheng T, Zhao R, Qiao J, Song S, LI Y, LI X, Wang C. POS0330 DIFFERENCES IN GUT MICROBIOTA ASSOCIATED WITH LYMPHOCYTE SUBSETS, CYTOKINES AND DISEASE ACTIVITY IN ANKYLOSING SPONDYLITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1928] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundAnkylosing spondylitis (AS), a common chronic inflammatory disease, is a prototype of spondyloarthritis affecting sacroiliac joints and spine with or without peripheral arthritis and other systemic symptoms[1]. Environmental factors, especially microorganisms have been suggested to implicate with AS pathogenesis[2].ObjectivesUtilizing 16S rRNA genes sequencing on the feces of untreated AS patients and healthy controls (HCs), our study aimed to provide an in-depth understanding of AS gut microbiota and identifying a feasible diagnostic strategy for AS.MethodsFecal samples were collected from 62 AS patients and 62 age-and-gender- matched HCs. Microbial genome was extracted from approximately 250mg fresh fecal samples from all participants using QIAamp PowerFecal DNA Kit (Qiagen). The V3-V4 variable regions of bacterial 16S rRNA genes were sequenced with the Illumina Miseq PE300 system. QIIME2 based pipeline was used to process the raw sequence data. Alpha and beta diversities were assessed using result from QIIME2, and comparisons of gut microbiome profile were performed using linear discriminant analysis (LDA) effect size (LEfSe) to examine differences between AS and HCs. R (version 4. 0.1) was used for comparative statistics, and pearson’s correlation was used to assess the correlations between the relative abundances of bacterial genera and clinical parameters; correlations with p<0.05 were considered significant.ResultsAS for alpha-diversity, ACE and Chao1 indices were lower in AS compared with those HCs(Figure 1A, p<0.05), though no significant differences observed in Shannon and Simpson index. Bray curtis distance-based beta-diversity analysis revealed significant differences in the microbial community between AS and HCs (Figure 1B, p=0.003, ANOSIM). Fecal microbial communities in AS differed significantly from those in HCs, driven by higher abundances of Escherichia-Shigella, Turicibacter, Enterococcus, et al. and a lower abundance of Agathobacter, Roseburia, Eubacterium_eligens_group, et al (Figure 1C, p<0.05). There was a significant positive correlation between ESR and Klebsiella, Butyricicoccus, Roseburia, CRP and Faecalibacterium, Muribaculaceae, ASDAS-CRP score and Faecalibacterium, Ruminococcus, total lymphocyte cells and Agathobacter, Ruminococcus, T cell and Agathobacter, CD4+T cell and Agathobacter, B cell and Agathobacter, Streptococcus, Th1 and Prevotella, CAG−352, Th2 and Agathobacter, Th17 and Prevotella, Agathobacter, IL-2 and Agathobacter, IL-4 and Agathobacter, IL-6 and Lachnospiraceae_UCG−004, Muribaculaceae, IL-17 and Eubacterium_hallii_group, IFN-gama and Phascolarctobacterium.There were negative correlations between total lymphocytes and Escherichia−Shigella, CD4+T cell and Enterobacteriaceae, Th2 cell and Escherichia−Shigella, IL-10 and CAG−352, Ruminococcus (Figure 2, p<0.05).Figure 1.Feature of gut microbiota in AS patients and HCs. (A) Alpha-diversity assessed by richness (Chao1, ACE) and diversity (Shannon, Simpson), Median estimates compared across cohorts. (B) PCoA plot based on the Bray curtis distance of gut microbiota samples from AS patients vs. HC group(p=0.003, ANOSIM). (C) Panel demonstrated the average relative abundance of different genus in AS and HCs. (D) Distribution of gut microbiota at genus level.Figure 2.Correlations between the relative abundance of significantly different bacteria and clinical variables. *p<0.05, **p < 0.01, ***p <0 .001, ****p < 0.0001.ConclusionHuman gut microbiome in patients with AS differed from that of the HCs. Characters of bacteria communities were associated with disease activity.References[1]Simone D, Al Mossawi M H, Bowness P. Progress in our understanding of the pathogenesis of ankylosing spondylitis [J]. Rheumatology (Oxford), 2018, 57(suppl_6): vi4-vi9.[2]Zhou C, Zhao H, Xiao X Y, et al. Metagenomic profiling of the pro-inflammatory gut microbiota in ankylosing spondylitis [J]. J Autoimmun, 2020, 107(102360.AcknowledgementsThis project was supported by the National Natural Science Foundation of China (No. 82001740).Disclosure of InterestsNone declared
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LI B, LI G, Song Z, Wang Y, Zhang Z. POS1081 SERUM MPO-DNA COMPLEX LEVEL CORRELATES WITH DISEASE ACTIVITY IN PSORIATIC ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2522] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundNETosis has been found to participate in the pathogenesis of many autoimmune diseases, however rarely reported in psoriatic arthritis (PsA).ObjectivesWe aimed to explore the involvement of NETosis in the inflammation of PsA.MethodsSerum MPO-DNA complex was detected by a modified enzyme-linked immunosorbent assay (ELISA) and compared among 74 patients with PsA, 58 patients with psoriasis (PsO) and 20 healthy controls. The association of MPO-DNA level with disease activity index at baseline and follow-up was analyzed in PsA patients. Receiver operating characteristic curve was used to evaluate the predictive value of MPO-DNA for treatment response.ResultsMPO-DNA complex level in serum was significantly increased in PsA/PsO patients compared to healthy controls (p<0.001). The level of MPO-DNA was positively associated with DAPSA score and its components (including TJC, SJC, PGA, EGA, VAS-pain and CRP, r=0.25-0.409, all p-value<0.05). Serum MPO-DNA level was downregualted at 12-week after treatment compared to baseline (p=0.022). The decrease of MPO-DNA level was more dramatic in PsA patients who achieved both ACR50 and PASI50 response than those achieving neither of them at 12 weeks (p=0.023). ROC analysis revealed that the serum MPO-DNA level predicted both ACR50 and PASI50 achievement at week 12 (p=0.04, 95% CIs 0.56-0.94). Moreover, the baseline MPO-DNA level (p=0.009, 95% CIs 0.748-1) and change of MPO-DNA at week 12 from baseline (p=0.004, 95% CIs 0.802-1) were associated with the achievement of both ACR70 and PASI75 response.ConclusionNETosis plays an important role in psoriatic diseases. The level of MPO-DNA complex in serum reflects disease activity. Serum MPO-DNA complex may be a useful biomarker to predict the therapeutic response in PsA.Table 1.Treatment response and changes of serum MPO-DNA of 29 PsA patients.ItemsBaseline12 weeks24weeksTJC, median (IQR)3(7)3(4)2(3.5)SJC, median (IQR)2(5)2(2)1(3)ESR, median (IQR) mm/h13(15)8(10)10(14)CRP, median (IQR) mg/L3(10.2)†2.6(3.72)2.3(3.8)PGA, median (IQR)40(30)*††20(30)††10(17.5)EGA, median (IQR)30(20)††20(10)††10(20.4)VAS-pain, median (IQR)30(30)*††20(20)††10(10)PASI, median (IQR)2.8(6.2)*†0.7(1.5)0.35(1.55)DAPSA, median (IQR)15(15.1)†8.4(8.4)6.15(10.3)MPO-DNA, median (IQR)0.416(0.615)*0.231(0.321)-Minimal disease activity, n (%)4(13.7%)6(20.6%)12(41.3%)ACR50, n (%)-13(44.8%)15(51.7%)PASI50, n (%)-14(48.2%)17(58.6%)ACR70, n (%)-4(13.7%)7(24.1%)PASI75, n (%)-11(37.9%)14(48.2%)Both ACR50PASI50, n (%)-8(27.5%)13(44.8%)Both ACR70PASI75, n (%)-3(10.3%)5(17.2%)Figure 1.ROC curves for predictions of treatment achievements at 12 and 24weeks.Disclosure of InterestsNone declared
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Geng Y, Song Z, Zhang X, Deng X, Wang Y, Zhang Z. POS0315 DIAGNOSTIC PERFORMANCE OF CASPAR CRITERIA FOR PSORIATIC ARTHRITIS WITH OR WITHOUT INTEGRATION OF ULTRASOUND. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3605] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundAlthough the CASPAR criteria in the diagnosis of psoriatic arthritis (PsA) have been validated, CASPAR based on physical examination (PE) is not “gold standard”. The ultrasound (US) could improve the diagnostic accuracy as compared to clinical examination alone.ObjectivesTo evaluate the diagnostic performance of CASPAR criteria for psoriatic arthritis (PsA) with or without integration of ultrasound (US).MethodsThe patients with hint of PsA were enrolled. Tender and swollen joint counts, presents of enthesitis and dactylitis were collected by physical examination (PE). US was performed to evaluate peripheral joints, entheses and tendons. The additional value of US to CASPAR criteria were analysed.Results326 consecutive patients were enrolled, with 164 PsA and 162 non-PsA. Significantly higher frequencies of tenosynovitis and enthesitis on US and new bone formation on X-ray were found in PsA than non-PsA patients (56.7% vs. 13.0%; 62.2% vs. 14.2%; 62.2% vs. 8.0%, p<0.01 for all). Logistic regression analysis showed that dactylitis (OR=12.0, p<0.01), family history of PsO/PsA (OR=3.1, p<0.05), nail involvement (OR=3.5, p=0.01), new bone formation (OR=14.8, p<0.01) and tenosynovitis on US (OR=21.3, p<0.01), enthesitis on US (OR=21.7, p<0.01) were independent risk factors for PsA. Adding US tenosynovitis and/or enthesitis to CASPAR criteria showed better performance by improving the specificity (91.4% vs. 67.9%) and meanwhile keeping sensitivity (92.1% vs. 96.3%). When replacing hand X-ray by US in CASPAR criteria, the sensitivity and specificity were comparable to CASPAR criteria adding with US. The diagnostic accuracy was 82.2% for CASPAR criteria based on PE, 91.7% for CASPAR integrated with US, and 91.4% for CASPAR with US to replace X-ray.ConclusionCASPAR criteria based on US improve the diagnosis utility of PsA than CASPAR criteria based on PE. US assessment is valuable in the diagnosis of PsA.References[1]Fiorenza A, Bonitta G, Gerratana E, et al. Assessment of enthesis in patients with psoriatic arthritis and fibromyalgia using clinical examination and ultrasound. Clinical and experimental rheumatology 2020;38 Suppl 123:31-9.[2]Zabotti A, Bandinelli F, Batticciotto A, et al. Musculoskeletal ultrasonography for psoriatic arthritis and psoriasis patients: a systematic literature review. Rheumatology (Oxford) 2017;56:1518-32.Figure 1.ROC curves for adding US or substituting X-ray by US in CASPAR criteria. Receiver operating characteristic (ROC) curve illustrates the diagnosis performance of CASPAR criteria adding US or substituting X-ray by US in CASPAR criteria and CASPAR criteria based on PE alone. The area under the curve of the ROC curve (AUC) was 0.929 (95%CI 0.897, 0.961) (p<0.01) for adding US to CASPAR criteria. AUC was 0.908 (95%CI 0.876, 0.940) (p<0.01) for CASPAR criteria based on PE. And AUC was 0.916 (95%CI 0.880, 0.951) (p<0.01) for substituting X-ray by US in CASPAR criteria. CASPAR: ClASsification criteria for Psoriatic ARthritis; PE: physical examination; US: ultrasound.Disclosure of InterestsNone declared
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Chen W, Ito T, Lin S, Song Z, Al‐Khuzaei S, Jurik A, Plewig G. Does
SAPHO
syndrome exist in dermatology? J Eur Acad Dermatol Venereol 2022; 36:1501-1506. [DOI: 10.1111/jdv.18172] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022]
Affiliation(s)
- W. Chen
- Department of Dermatology and Allergy Technical University of Munich Munich Germany
| | - T. Ito
- Department of Dermatology Hamamatsu University School of Medicine Hamamatsu Japan
| | - S.‐H. Lin
- Department of Dermatology, Chang Gung Memorial Hospital Kaohsiung Medical Center Kaohsiung Taiwan
| | - Z. Song
- Department of Dermatology and Venereology, Southwest Hospital, Army Medical Universtiy Chongqing China
| | - S. Al‐Khuzaei
- Department of Dermatology, Rumailah Hospital, Hamad Medical Cooperation, Al Rumaila, Off Al Istiolal Street, P.O. Box 3050 Doha Qatar
| | - A.G. Jurik
- Department of Radiology Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University Aarhus Denmark
| | - G. Plewig
- Department of Dermatology and Allergy, Ludwig‐Maximilian‐University of Munich Munich Germany
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Song Z, Wu Y, Yang Y, Zhang X, Van Zwieten L, Bolan N, Li Z, Liu H, Hao Q, Yu C, Sun X, Song A, Wang W, Liu C, Wang H. High potential of stable carbon sequestration in phytoliths of China's grasslands. Glob Chang Biol 2022; 28:2736-2750. [PMID: 35060227 DOI: 10.1111/gcb.16092] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 12/09/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
Phytolith carbon (C) sequestration plays a key role in mitigating global climate change at a centennial to millennial time scale. However, previous estimates of phytolith-occluded carbon (PhytOC) storage and potential in China's grasslands have large uncertainties mainly due to multiple data sources. This contributes to the uncertainty in predicting long-term C sequestration in terrestrial ecosystems using Earth System Models. In this study, we carried out an intensive field investigation (79 sites, 237 soil profiles [0-100 cm], and 61 vegetation assessments) to quantify PhytOC storage in China's grasslands and to better explore the biogeographical patterns and influencing factors. Generally, PhytOC production flux and soil PhytOC density in both the Tibetan Plateau and the Inner Mongolian Plateau had a decreasing trend from the Northeast to the Southwest. The aboveground PhytOC production rate in China's grassland was 0.48 × 106 t CO2 a-1 , and the soil PhytOC storage was 383 × 106 t CO2 . About 45% of soil PhytOC was stored in the deep soil layers (50-100 cm), highlighting the importance of deep soil layers for C stock assessments. Importantly, the Tibetan Plateau had the greatest contribution (more than 70%) to the PhytOC storage in China's grasslands. The results of multiple regression analysis indicated that altitude and soil texture significantly influenced the spatial distribution of soil PhytOC, explaining 78.1% of the total variation. Soil phytolith turnover time in China's grasslands was mainly controlled by climatic conditions, with the turnover time on the Tibetan Plateau being significantly longer than that on the Inner Mongolian Plateau. Our results offer more accurate estimates of the potential for phytolith C sequestration from ecological restoration projects in degraded grassland ecosystems. These estimates are essential to parameterizing and validating global C models.
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Affiliation(s)
- Zhaoliang Song
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
| | - Yuntao Wu
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
| | - Yuanhe Yang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Xiaodong Zhang
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
| | - Lukas Van Zwieten
- NSW Department of Primary Industries, Wollongbar, New South Wales, Australia
| | - Nanthi Bolan
- School of Agriculture and Environment, Institute of Agriculture, University of Western Australia, Crawley, Western Australia, Australia
| | - Zimin Li
- Université catholique de Louvain (UCLouvain), Earth and Life Institute, Soil Science, Louvain-La-Neuve, Belgium
| | - Hongyan Liu
- College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Qian Hao
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
| | - Changxun Yu
- Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Xiaole Sun
- Baltic Sea Center, Stockholm University, Stockholm, Sweden
| | - Alin Song
- Key Laboratory of Crop Nutrition and Fertilization, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenying Wang
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing Normal University, Qinghai, China
| | - Congqiang Liu
- School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
| | - Hailong Wang
- School of Environment and Chemical Engineering, Foshan University, Guangdong, China
- Key Laboratory of Soil Contamination Bioremediation of Zhejiang Province, College of Environmental and Resource Sciences, Zhejiang A & F University, Zhejiang, China
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Liu L, Song Z, Li Q, Ellam RM, Tang J, Wang Y, Sarkar B, Wang H. Accumulation and partitioning of toxic trace metal(loid)s in phytoliths of wheat grown in a multi-element contaminated soil. Environ Pollut 2022; 294:118645. [PMID: 34883150 DOI: 10.1016/j.envpol.2021.118645] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 09/24/2021] [Revised: 11/19/2021] [Accepted: 12/05/2021] [Indexed: 06/13/2023]
Abstract
Cropland contamination by toxic trace metal (loid)s (TTMs) has attracted increasing attention due to the serious consequential threat to crop quality and human health. Mitigation of plant TTM stress by silica amendment has been proposed recently. However, the relationship between the siliceous structure of phytoliths and TTMs in plants, and the environmental implications of phytolith-occluded trace metal (loid)s (PhytTMs) remain unclear. This study assessed the accumulation of five metal (loid)s, including lead (Pb), zinc (Zn), cadmium (Cd), copper (Cu) and arsenic (As), in the organic tissues and phytoliths of wheat grown in a mixed-TTM contaminated soil under both lightly and heavily contaminated conditions. The results show that the concentrations of plant TTMs and PhytTMs were significantly (p < 0.05) positively correlated, and higher in heavily contaminated wheats than those in lightly contaminated ones. The bio-enrichment factors between phytoliths and organic tissues were higher for As (1.83), Pb (0.27) and Zn (0.30) than for Cd (0.03) and Cu (0.14), implying that As, Pb and Zn were more readily co-precipitated with silicon (Si) in phytolith structures than Cd and Cu. Network analysis of the relationship between soil and plant elements with PhytTMs showed that severe contamination could impact the homeostasis of elements in plants by altering the translocation of TTMs between soils, plants, and phytoliths. The accumulation of TTMs in phytoliths was affected by the capacity of Si deposition in tissues and chelation of TTMs with silica, which could impact the role of PhytTMs in global biogeochemical TTM cycles.
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Affiliation(s)
- Linan Liu
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China.
| | - Qiang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Rob M Ellam
- Scottish Universities Environmental Research Centre, East Kilbride, G750QF, Scotland, United Kingdom
| | - Jingchun Tang
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Yangyang Wang
- National Demonstration Center for Environmental and Planning, College of Environment & Planning, Henan University, Kaifeng, 475004, China
| | - Binoy Sarkar
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
| | - Hailong Wang
- School of Environmental and Chemical Engineering, Foshan University, Foshan, Guangdong, 528000, China; Key Laboratory of Soil Contamination Bioremediation of Zhejiang Province, Zhejiang A&F University, Hangzhou, Zhejiang, 311300, China
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Xie W, Zuo J, Ma Z, Yu W, Hu Z, Yang T, Song Z. The Burden of Colorectal Cancer Attributable to Diet Low in Fiber from 1990 to 2019: A Global, Regional and National Analysis. J Nutr Health Aging 2022; 26:1061-1069. [PMID: 36519769 DOI: 10.1007/s12603-022-1865-x] [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 The colorectal cancer (CRC) burden is increasingly high. The aim of this study was to investigate temporal and geographical trends in CRC deaths and disability-adjusted life-years (DALYs) attributable to diet low in fiber globally from 1990 to 2019. DESIGN Cross-sectional study. SETTING The study based on the Global Burden of Disease Study (GBD) 2019. PARTICIPANTS The population comprised individuals from 204 countries and territories who were diagnosed with CRC attributable to diet low in fiber from 1990 to 2019. MEASUREMENTS Deaths, DALYs, age-standardized mortality rates (ASMR), and age-standardized DALY rates (ASDR) for CRC attributable to diet low in fiber were described, and estimated annual percentage change (EAPC) was further calculated to assess the burden in different regions, countries, sexes, and age groups. Additionally, we explored the association between EAPC and ASMR/ASDR (in 1990) and Human Development Index (HDI, in 2019). RESULTS From 1990 to 2019, global ASMR and ASDR for CRC attributable to diet low in fiber decreased slightly, but the corresponding deaths and DALYs increased by 63.37% and 51.36%, respectively. Those burden varied considerably between regions and countries. The burden was higher in high, high-middle and middle SDI regions, especially in Asia and Western Europe, but when HDI > 0.7, an increasingly rapid decline in ASMR and ASDR was revealed. Unexpectedly, many less well-developed countries within the traditionally low deaths and DALYs regions of Africa, Central Latin America, and Middle East showed gradual increases in ASMR and ASDR. CONCLUSION The global burden of CRC attributable to diet low in fiber has decreased over the last 30 years, but remains at a high level. It is essential for decision-makers to take targeted measures for improving population awareness and intake of dietary fiber.
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Affiliation(s)
- W Xie
- Zhenshun Song, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China, Department of General Surgery, Shanghai Fourth People's Hospital, Tongji University School of Medicine, 1279 Sanmen Road, Shanghai, 200072, China, E-mail: , Tel: +86-21-66307437, Fax: +86-21-66307437; Tingsong Yang, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China, E-mail: , Tel: +86-021-66307347, Fax: +86-021-66307347
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Liang X, Hou X, Song Z, Bouhamdan M, Song J, Sun Y, Chen Y, Jin J, Zhang K, Xu J. 199: Protective effects of SGLT1/2 inhibitor sotagliflozin on CF-related liver disease in CF rabbits. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)01624-6] [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: 11/16/2022]
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Lai L, Xu C, Wang W, Wang D, Song Z, Zhu Y, Zhuang W, Fang M, Wang G, Wang Q, Song Y, Lu S. P70.18 Distribution of GNAS Mutations in Chinese Patients With Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.727] [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: 11/29/2022]
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Song Z, Liu R. Topic: AS08-Treatment/AS08h-Allogeneic hematopoietic cell transplantation -Bridging to transplantation. Leuk Res 2021. [DOI: 10.1016/j.leukres.2021.106681.53] [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: 11/28/2022]
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Nguyen DK, OLeary S, Gadalla MA, Wang R, Li W, Song Z, Roberts B, Alvino H, Tremellen KP, Mol BW. P–728 Can in couples with unexplained infertility the use of a prediction model to triage assisted reproduction technology save costs? Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.727] [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: 11/12/2022] Open
Abstract
Abstract
Study question
Can in couples with unexplained infertility a prognosis-tailored management strategy, that delays treatment if natural conception prospects are good, reduce costs without affecting live-birth rate?
Summary answer
In couples with unexplained infertility, use of a prognostic tool for natural conception followed by expectant management in good-prognosis couples is cost-effective.
What is known already
Few countries have guidelines for the assessment of the likelihood of natural conception to determine access to publicly funded ART. In the Netherlands and New-Zealand, couples with unexplained infertility who have a good prognosis for natural conception are encouraged to delay starting ART. However, the cost-effectiveness of this prognosis-tailored treatment strategy has not been determined.
Study design, size, duration
We studied couples with unexplained infertility to compare a prognosis-tailored strategy to care-as-usual. In the prognosis-tailored strategy, couples were assessed using Hunault’s prediction model. In good-prognosis couples (12-months natural conception >40%), outcomes without ART were modelled by censoring observations after start of ART. We then assumed that poor-prognosis couples (<40% natural conception) were treated, while good-prognosis couples delayed the start of treatment for 12 months. Data for the care-as-usual model were based on real observations.
Participants/materials, setting, methods
We studied 272 couples with unexplained infertility. Costs of in vitro fertilisation (IVF) and intra-uterine insemination (IUI) were calculated based on the out-of-pocket costs and Australian Medicare costs. In a cost-effectiveness model, we compared costs and effects of both strategies.
Main results and the role of chance
The prognostic model classified 272 couples with unexplained infertility as favourable (N = 107 (39.3%) or unfavourable prognosis (N = 165 (60.7%)) for natural conception. In the prognosis-tailored strategy, the cumulative live-birth rate was 71.1% (95% CI 64.7% - 76.4%) while the number of ART cycles was 393 (353 IVF; 40 IUI). In care-as-usual strategy, the cumulative conception rate leading to live-birth for the cohort of 272 couples, who underwent a total of 398 IVF cycles and 48 IUI cycles, was 72.1% (95% CI 65.7% - 77.4%). Mean time to conception leading to live birth was 388 days in the prognosis-tailored strategy and 419 days in the care-as-usual strategy.
This translated for the 272 couples into potential savings of 45 IVF cycles and eight IUI cycles, which cost a total of AUD$ 125,817 for out-of-pocket and AUD$ 264,497 for Australian Medicare. The average cost savings per couple was AUD$ 1,435 (out-of-pocket AUD$ 463 per couple and Australian Medicare AUD$ 962 per couple). The incremental cost-effectiveness ratio, which was calculated as the total costs per additional live-births, was AUD$ 143,497 per additional live birth.
Limitations, reasons for caution
This study was limited to couples at a single IVF clinic. The modelling was also based on several key assumptions, particularly the number of fresh and frozen embryo transfer cycles for each couple.
Wider implications of the findings: Our results show that in couples with unexplained infertility the use of a prognostic model guiding the start of an IVF-treatment reduces costs without compromising live birth rates.
Trial registration number
Not applicable
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Affiliation(s)
- D K Nguyen
- Robinson Research Institute, The University of Adelaide, Adelaide, Australia
| | - S OLeary
- Robinson Research Institute, The University of Adelaide, Adelaide, Australia
| | - M A Gadalla
- Women’s Health Hospital, Department of Obstetrics and Gynaecology- Faculty of Medicine- Assuit University, Assuit, Egypt
| | - R Wang
- Department of Obstetrics and Gynaecology, Monash University, Victoria, Australia
| | - W Li
- Department of Obstetrics and Gynaecology, Monash University, Victoria, Australia
| | - Z Song
- Faculty of Medicine- Nursing and Health Sciences, Monash University, Victoria, Australia
| | - B Roberts
- Repromed IVF Adelaide, Dulwich, South Australia, Australia
| | - H Alvino
- Repromed IVF Adelaide, Dulwich, South Australia, Australia
| | - K P Tremellen
- Repromed IVF Adelaide, Dulwich, South Australia, Australia
| | - B W Mol
- Department of Obstetrics and Gynaecology, Monash University, Victoria, Australia
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Zhao Y, Wu L, Lu Q, Gao X, Zhu X, Yao X, Li L, Li W, Ding Y, Song Z, Liu L, Dang N, Zhang C, Liu X, Gu J, Wang J, Geng S, Liu Q, Guo Y, Dong L, Su H, Bai L, O'Malley JT, Luo J, Laws E, Mannent L, Ruddy M, Amin N, Bansal A, Ota T, Wang M, Zhang J. The efficacy and safety of dupilumab in Chinese patients with moderate-to-severe atopic dermatitis: a randomized, double-blind, placebo-controlled study. Br J Dermatol 2021; 186:633-641. [PMID: 34358343 PMCID: PMC9298048 DOI: 10.1111/bjd.20690] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [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] [Accepted: 08/05/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Dupilumab is an antibody against interleukin 4 receptor α, used in treating atopic dermatitis (AD). OBJECTIVES To evaluate the efficacy and safety of dupilumab in adult Chinese patients with moderate-to-severe AD. METHODS In this randomized, double-blind, placebo-controlled, parallel-group, phase III study, conducted between December 2018 and February 2020, patients with AD received dupilumab (300mg) or placebo once every 2 weeks for 16 weeks, and were followed up for 12 weeks. The primary efficacy endpoint was the proportion of patients with both Investigator's Global Assessment (IGA) score of 0-1 and a reduction from baseline of ≥2 points at week 16. RESULTS Overall, 165 patients (mean age: 30.6 years; 71.5% male) were randomized: 82 to dupilumab and 83 to placebo. At week 16, 26.8% of patients in the dupilumab group and 4.8% of patients in the placebo group achieved the primary endpoint (difference, 22.0%; 95% confidence interval [CI], 11.37-32.65%; p<0.0001). Compared with placebo, higher proportions of patients in the dupilumab group achieved ≥75% reduction in the Eczema Area and Severity Index score (57.3% vs 14.5%; difference, 42.9%; 95% CI, 29.75-55.97%; p<0.0001) and had ≥3-point (52.4% vs 9.6%; difference, 42.8%; 95% CI, 30.26-55.34%; p<0.0001) and ≥4-point (39.0% vs 4.8%; difference, 34.2%; 95% CI, 22.69-45.72%; p<0.0001) reductions in weekly average daily peak daily pruritus numerical rating scale scores. The incidence of TEAEs during the treatment period was similar in the two groups. The incidence of conjunctivitis, allergic conjunctivitis, and injection site reaction was higher in the dupilumab group than in the placebo group. CONCLUSIONS In adult Chinese patients, dupilumab was effective in improving the signs and symptoms of AD and demonstrated a favorable safety profile.
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Affiliation(s)
- Y Zhao
- Peking University People's Hospital, Beijing, China
| | - L Wu
- Hangzhou First People's Hospital, Hangzhou, China
| | - Q Lu
- The Second Xiangya Hospital of Central South University, Changsha, China
| | - X Gao
- The First Hospital of China Medical University, Shenyang, China
| | - X Zhu
- Wuxi Second People's Hospital, Jiangsu, China
| | - X Yao
- Hospital for skin diseases, Institute of Dermatology, Chinese Academy of medical sciences, Nanjing, China
| | - L Li
- Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - W Li
- Huashan Hospital, Fudan University, Shanghai, China
| | - Y Ding
- Shanghai Skin Disease Hospital, Shanghai, China
| | - Z Song
- The Southwest Hospital of AMU, Chongqing, China
| | - L Liu
- Peking University First Hospital, Beijing, China
| | - N Dang
- Jinan Central Hospital, Jinan, China
| | - C Zhang
- Peking University Third Hospital, Beijing, China
| | - X Liu
- University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - J Gu
- Changhai Hospital of Shanghai, Shanghai, China
| | - J Wang
- Ningbo No.2 Hospital, Ningbo, China
| | - S Geng
- The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Q Liu
- Tianjin Medical University General Hospital, Tianjin, China
| | - Y Guo
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - L Dong
- Research & Development, Sanofi, Shanghai, China
| | - H Su
- Research & Development, Sanofi, Shanghai, China
| | - L Bai
- Research & Development, Sanofi, Shanghai, China
| | | | - J Luo
- Research & Development, Sanofi, Indianapolis, USA
| | - E Laws
- Research & Development, Sanofi, Bridgewater, USA
| | - L Mannent
- Research & Development, Sanofi, Paris, France
| | - M Ruddy
- Research & Development, Regeneron, New York, USA
| | - N Amin
- Research & Development, Regeneron, New York, USA
| | - A Bansal
- Research & Development, Regeneron, New York, USA
| | - T Ota
- Research & Development, Regeneron, New York, USA
| | - M Wang
- Medical, Sanofi China, Shanghai, China
| | - J Zhang
- Peking University People's Hospital, Beijing, China
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Wang R, Yang XM, Song Z. Localization transitions and mobility edges in quasiperiodic ladder. J Phys Condens Matter 2021; 33:365403. [PMID: 34157686 DOI: 10.1088/1361-648x/ac0d86] [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: 03/27/2021] [Accepted: 06/22/2021] [Indexed: 06/13/2023]
Abstract
We investigate localization properties of two-coupled uniform chains (ladder) with quasiperiodic modulation on interchain coupling strength. We demonstrate that this ladder is equivalent to two Aubry-André chains when two legs are symmetric. Analytical and numerical results indicate the appearance of mobility edges in asymmetric ladder systems. We propose an easy-to-engineer quasiperiodic Moiré superlattice ladder system comprising two-coupled uniform chains. An irrational lattice constant difference results in a quasiperiodic structure. Numerical simulations indicate that such a system supports the existence of mobility edges. Furthermore, we demonstrate that the mobility edges can be detected through a dynamical method, that is based on the measurement of survival probability in the presence of a single imaginary negative potential. The results provide insights into localization transitions and mobility edges in experiments.
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Affiliation(s)
- R Wang
- School of Physics, Nankai University, Tianjin 300071, People's Republic of China
| | - X M Yang
- School of Physics, Nankai University, Tianjin 300071, People's Republic of China
| | - Z Song
- School of Physics, Nankai University, Tianjin 300071, People's Republic of China
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Zhang S, Zhang T, Song Z, Li W, Yu J, Zhao J, Zhou S, Qian Z, Li L, Qiu L, Liu X, Wang X, Zhang H. TRACKING THE EVOLUTION OF UNTREATED HIGH‐INTERMEDIATE/HIGH‐RISK DIFFUSE LARGE B‐CELL LYMPHOMA BY CIRCULATING TUMOR DNA. Hematol Oncol 2021. [DOI: 10.1002/hon.6_2881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- S Zhang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - T Zhang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Z Song
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - W Li
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - J Yu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - J Zhao
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - S Zhou
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Z Qian
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - L Li
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - L Qiu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - X Liu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - X Wang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - H Zhang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
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Fang X, Peng B, Song Z, Wu S, Chen D, Zhao Y, Liu J, Dai Y, Tu X. Geochemistry of heavy metal-contaminated sediments from the Four River inlets of Dongting lake, China. Environ Sci Pollut Res Int 2021; 28:27593-27613. [PMID: 33512684 DOI: 10.1007/s11356-021-12635-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 01/20/2021] [Indexed: 06/12/2023]
Abstract
The concentrations of major and trace elements in the sediments from the Four River inlets of Dongting Lake were analysed. The results show that the element compositions of the Four River inlet sediments are different, among which higher amounts of Al2O3, Fe2O3, MnO, Cs, Rb, Th, U, Y, and REE are found, while MgO, CaO, Na2O, and Sr are more depleted in the sediments from the Xiangjiang and Zijiang inlets than in the sediments from the Yuanjiang and Lishui inlets. The Xiangjiang inlet sediments are distinctly higher enriched (EF > 5.0) in heavy metals Bi, Cd, Mn, Cu, Pb, and Zn, while the other river sediments are moderately enriched (EF > 2.0) in these heavy metals. These geochemical differences are resulted from the source lithology, chemical weathering, hydrological sorting, and anthropogenic processes taking place in the watersheds. The principal component analysis and the geochemical vertical profiles suggest that the trace metals Ba, Mo, V, Cr, Co, Ni, Cs, Rb, Sc, Th, U, Ga, Ge, Zr, Hf, Ta, Nb, and REE are of terrigenous sources. The heavy metals including Bi, Cd, Mn, Cu, Pb, and Zn in the sediments can include those contributed by anthropogenic processes, such as mining and smelting of Pb-Zn ores. Therefore, presenting a scheme for the geochemical backgrounds of the watershed is recommended here for future assessment of the heavy metal contamination in sediments of the watershed.
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Affiliation(s)
- Xiaohong Fang
- Faculty of Resource and Environment Sciences, Hunan Normal University, 410081, Changsha, People's Republic of China
- Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, 410081, Changsha, People's Republic of China
- College of Geography and Tourism, Hengyang Normal University, 421002, Hengyang, People's Republic of China
| | - Bo Peng
- Faculty of Resource and Environment Sciences, Hunan Normal University, 410081, Changsha, People's Republic of China.
- Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, 410081, Changsha, People's Republic of China.
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, Tianjin University, 300072, Tianjin, People's Republic of China
| | - Sicheng Wu
- Faculty of Resource and Environment Sciences, Hunan Normal University, 410081, Changsha, People's Republic of China
- Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, 410081, Changsha, People's Republic of China
| | - Danting Chen
- Faculty of Resource and Environment Sciences, Hunan Normal University, 410081, Changsha, People's Republic of China
- Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, 410081, Changsha, People's Republic of China
| | - Yafang Zhao
- Faculty of Resource and Environment Sciences, Hunan Normal University, 410081, Changsha, People's Republic of China
- Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, 410081, Changsha, People's Republic of China
| | - Jing Liu
- Faculty of Resource and Environment Sciences, Hunan Normal University, 410081, Changsha, People's Republic of China
- Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, 410081, Changsha, People's Republic of China
| | - Yanan Dai
- Faculty of Resource and Environment Sciences, Hunan Normal University, 410081, Changsha, People's Republic of China
- Key Laboratory of Environmental Heavy-Metal Contamination and Ecological Remediation, Hunan Normal University, 410081, Changsha, People's Republic of China
| | - Xianglin Tu
- Guangzhou Institute of Geochemistry, Chinese Academy of Science, 510640, Guangzhou, People's Republic of China
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Song Z, Gao S, Liu YM, Wang Y, Sun ZX, Bao D, Liu C. EphA3 promotes the proliferation of NPC cells through negatively regulating the ability of FOG2. Eur Rev Med Pharmacol Sci 2021; 24:6735-6743. [PMID: 32633364 DOI: 10.26355/eurrev_202006_21661] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The purpose of this study was to investigate the expression level of EphA3 in nasopharyngeal carcinoma (NPC) and its effect on the proliferative capacity of NPC. Meanwhile, the underlying mechanism by which EphA3 prompts NPC malignant progression was further explored. PATIENTS AND METHODS In this study, the expression of EphA3 in 42 pairs of tumor tissue specimens and paracancerous ones collected from NPC patients was detected by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR), and the interplay between EphA3 expression and clinical indicators, as well as prognosis of NPC patients was analyzed. Meanwhile, qRT-PCR was also applied to further verify EphA expression in NPC cell lines. In addition, EphA knockdown model was constructed in NPC cell lines, CNE2, and 6-10B, and the impacts of EphA on NPC cell functions was assessed through Cell Counting Kit-8 (CCK-8), cell colony formation, as well as 5-Ethynyl-2'- deoxyuridine (EdU) assays. Finally, a potential interplay between EphA3 and FOG2 was also investigated. RESULTS In this study, qRT-PCR results revealed that EphA3 expression levels in tumor tissues of patients with NPC were markedly higher than those in adjacent tissues. Compared with patients with low expression of EphA3, those with highly expressed EphA3 had a more advanced pathological stage. In addition, in vitro experiments showed that knocking down EphA3 notably attenuated the proliferation capacity of NPC cells. Subsequently, it was found that the expression of FOG2 in NPC cells was remarkably decreased both in NPC cell lines and tissues, which had a negative correlation with EphA3. Finally, cell recovery experiment revealed a mutual regulation between EphA3 and FOG2, which then together affected the malignant progression of NPC. CONCLUSIONS EphA3 is significantly relevant to pathological staging and poor prognosis of patients with NPC and may enhance the proliferation ability of NPC cells by modulating FOG2.
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Affiliation(s)
- Z Song
- Department of ENT, Qingdao Central Hospital, Qingdao University, Qingdao, China.
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Xia S, Wang W, Song Z, Kuzyakov Y, Guo L, Van Zwieten L, Li Q, Hartley IP, Yang Y, Wang Y, Andrew Quine T, Liu C, Wang H. Spartina alterniflora invasion controls organic carbon stocks in coastal marsh and mangrove soils across tropics and subtropics. Glob Chang Biol 2021; 27:1627-1644. [PMID: 33432697 DOI: 10.1111/gcb.15516] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [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: 11/07/2020] [Accepted: 12/24/2020] [Indexed: 06/12/2023]
Abstract
Coastal wetlands are among the most productive ecosystems and store large amounts of organic carbon (C)-the so termed "blue carbon." However, wetlands in the tropics and subtropics have been invaded by smooth cordgrass (Spartina alterniflora) affecting storage of blue C. To understand how S. alterniflora affects soil organic carbon (SOC) stocks, sources, stability, and their spatial distribution, we sampled soils along a 2500 km coastal transect encompassing tropical to subtropical climate zones. This included 216 samplings within three coastal wetland types: a marsh (Phragmites australis) and two mangroves (Kandelia candel and Avicennia marina). Using δ13 C, C:nitrogen (N) ratios, and lignin biomarker composition, we traced changes in the sources, stability, and storage of SOC in response to S. alterniflora invasion. The contribution of S. alterniflora-derived C up to 40 cm accounts for 5.6%, 23%, and 12% in the P. australis, K. candel, and A. marina communities, respectively, with a corresponding change in SOC storage of +3.5, -14, and -3.9 t C ha-1 . SOC storage did not follow the trend in aboveground biomass from the native to invasive species, or with vegetation types and invasion duration (7-15 years). SOC storage decreased with increasing mean annual precipitation (1000-1900 mm) and temperature (15.3-23.4℃). Edaphic variables in P. australis marshes remained stable after S. alterniflora invasion, and hence, their effects on SOC content were absent. In mangrove wetlands, however, electrical conductivity, total N and phosphorus, pH, and active silicon were the main factors controlling SOC stocks. Mangrove wetlands were most strongly impacted by S. alterniflora invasion and efforts are needed to focus on restoring native vegetation. By understanding the mechanisms and consequences of invasion by S. alterniflora, changes in blue C sequestration can be predicted to optimize storage can be developed.
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Affiliation(s)
- Shaopan Xia
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Weiqi Wang
- Key Laboratory of Humid Subtropical Eco-Geographical Process, Ministry of Education, Fujian Normal University, Fuzhou, China
| | - Zhaoliang Song
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Yakov Kuzyakov
- Tianjin Key Laboratory of Water Resources and Environment, & School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
- Department of Soil Science of Temperate Ecosystems, University of Goettingen, Goettingen, Germany
- Department of Agricultural Soil Science, University of Goettingen, Goettingen, Germany
- Agro-Technological Institute, RUDN University, Moscow, Russia
| | - Laodong Guo
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | | | - Qiang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Iain P Hartley
- Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Yuanhe Yang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Yidong Wang
- Tianjin Key Laboratory of Water Resources and Environment, & School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | | | - Congqiang Liu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
| | - Hailong Wang
- School of Environment and Chemical Engineering, Foshan University, Foshan, Guangdong, China
- School of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou, Zhejiang, China
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Jiang N, Song X, Peng YM, Wang WN, Song Z. Association of disease condition with changes in intestinal flora, and plasma endotoxin and vascular endothelial growth factor levels in patients with liver cancer. Eur Rev Med Pharmacol Sci 2021; 24:3605-3613. [PMID: 32329835 DOI: 10.26355/eurrev_202004_20822] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Currently, the therapeutic effect on patients with liver cancer is associated with disease development. Meanwhile, the efficacy in patients with advanced liver cancer is far from satisfactory. Therefore, the aim of this study was to explore the association of disease condition with changes in liver function indexes, intestinal flora, and plasma endotoxin (ET) and vascular endothelial growth factor (VEGF) levels in patients with liver cancer. PATIENTS AND METHODS A total of 300 patients with primary liver cancer in our hospital were enrolled in this study. All patients were divided into three groups, including early liver cancer group, middle liver cancer group, and advanced liver cancer group. Peripheral blood was collected from each subject to detect liver function indexes, procalcitonin (PCT), plasma ET, and VEGF levels. Furthermore, mid-posterior-segment stools were collected from 15 cases in each group, and sent to the company for detection of intestinal flora. RESULTS Liver function indexes in peripheral blood of patients with liver cancer changed with the changes in disease condition. With the progression of liver cancer, the level of aspartate aminotransferase (AST) increased significantly, and the highest was observed in advanced liver cancer patients [(91.18±10.34) U/L] (p=0.046). However, the level of plasma total protein declined significantly, which was (24.83±1.75) g/L in advanced liver cancer patients (p=0.035). The changes in total bilirubin were significantly associated with the progression of liver cancer (p=0.003). The abundance of Clostridiales, Firmicutes, and Streptococcus in the intestinal tract was high in early liver cancer group. The abundance of Ruminococcaceae, Pasteurellaceae, Tanticharoenia, and Vagococcus in the intestinal tract was high in middle liver cancer group. Meanwhile, the abundance of Bifidobacteriales, Actinobacteria, Barnesiella, Porphyromonadaceae, and Pseudomonadales in the intestinal tract was high in advanced liver cancer group. In patients with liver cancer, the level of Enterobacteriaceae was positively correlated with that of Firmicutes (r=0.36, p=0.003), whereas it was negatively correlated with Lactobacillus (r=-0.72, p=0.021). The level of Lactobacillus was positively correlated with that of Ruminococcaceae (r=0.39, p=0.043), whereas it was negatively correlated with that of Firmicutes (r=-0.27, p=0.019). In addition, the level of PCT markedly rose in advanced liver cancer group [(6.89±0.35) ng/mL] (p=0.021). The level of ET increased significantly with the development of liver cancer, with the highest level observed in advanced liver cancer group [(0.71±0.09) EU/mL] (p=0.004). The level of VEGF also increased remarkably with the aggravation of liver cancer, and the highest was found in advanced liver cancer group [(112.33±2.11) μmol/L], showing differences among groups (p<0.05). CONCLUSIONS With the progression of liver cancer, the abundance of Barnesiella, etc., rose and that of Ruminococcaceae, etc., declined in the intestinal tract. Meanwhile, the composition of intestinal flora was changed, and the levels of plasma ET and VEGF increased.
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Affiliation(s)
- N Jiang
- Department of Pathophysiology, Medical College of Chifeng University, Chifeng, China.
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Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Deng J, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Yun JP, Huang D, Song Z, Fan X, Chen L, Yan X, Li Z, Huang ZC, Huang J, Luttrell J, Zhang CY, Zhou W, Zhang K, Yi C, Wu C, Shen H, Wang YP, Xiao HM, Deng HW. Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence. BMC Med 2021; 19:76. [PMID: 33752648 PMCID: PMC7986569 DOI: 10.1186/s12916-021-01942-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. METHODS Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. RESULTS Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. CONCLUSIONS This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.
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Affiliation(s)
- K S Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - G Yu
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Xu
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - X H Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China
| | - J Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Zheng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Deng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - L Shang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - R Liu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - S Su
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - X Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - Q Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - K Ma
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Qi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Hu
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - P Tang
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
| | - X Qiu
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - B Y Li
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - W D Shen
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - R P Quan
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - J T Yang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - L Y Huang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Y Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Z C Yang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, Hunan, China
| | - Z Li
- School of Life Sciences, Central South University, Changsha, 410013, Hunan, China
| | - S C Wang
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - H Ren
- Department of Pathology, Gongli Hospital, Second Military Medical University, Shanghai, 200135, China
- Department of Pathology, the Peace Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China
| | - C Liang
- Pathological Laboratory of Adicon Medical Laboratory Co., Ltd, Hangzhou, 310023, Zhejiang, China
| | - W Guo
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - Y Li
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - H Xiao
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Gu
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - J P Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - D Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Z Song
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - X Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - L Chen
- Department of Pathology, The first affiliated hospital, Air Force Medical University, Xi'an, 710032, China
| | - X Yan
- Institute of Pathology and southwest cancer center, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Z Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z C Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Luttrell
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - C Y Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - W Zhou
- College of Computing, Michigan Technological University, Houghton, MI, 49931, USA
| | - K Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - C Yi
- Department of Pathology, Ochsner Medical Center, New Orleans, LA, 70121, USA
| | - C Wu
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - H Shen
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Y P Wang
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - H M Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
| | - H W Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA.
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
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