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Xu Y, Pan YC, Zou B, Zheng ZW, Guo ZD. [Quantitative Assessment of the Impact of Climate Change on the Growing Season of Vegetation Gross Primary Productivity in the Middle and Lower Reaches of the Yangtze River]. Huan Jing Ke Xue 2024; 45:1615-1628. [PMID: 38471874 DOI: 10.13227/j.hjkx.202304152] [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: 03/14/2024]
Abstract
Quantitatively determining the direct, indirect, and comprehensive effects of climatic factors on the growing season of the vegetation GPP (GPPGS) in the middle and lower reaches of the Yangtze River at the regional and vegetation type scales can provide a scientific basis for the management and restoration of regional vegetation resources under the background of global climate change. Using MODIS GPP data, meteorological data, and vegetation type data, combined with Theil-Sen Median trend analysis and the Mann-Kendall significance test, the spatiotemporal characteristics of the GPPGS in the middle and lower reaches of the Yangtze River were investigated at different temporal and spatial scales. Path analysis was used to further reveal the direct, indirect, and comprehensive effects of climate factors on GPPGS variation in different vegetation types. The results showed that:① from 2000 to 2021, the vegetation GPPGS in the middle and lower reaches of the Yangtze River showed a fluctuating upward trend, with a rising rate (in terms of C, same below) of 2.70 g·(m2·a)-1 (P<0.01). The GPPGS of different vegetation types all showed a significant upward trend (P<0.01), with shrubs having the highest upward rate of 3.31 g·(m2·a)-1 and cultivated vegetation having the lowest upward rate of 2.54 g·(m2·a)-1. ② The proportion of the area with an upward trend in GPPGS in the middle and lower reaches of the Yangtze River was 88.11%. The proportion of the area with an upward trend in GPPGS was greater than 84% for all different vegetation types, with shrubs (49.76%) and cultivated vegetation (44.36%) having significantly higher proportions of the area with an upward trend than that in other vegetation types. ③ The path analysis results showed that precipitation and the maximum temperature had a significant positive direct effect on vegetation GPPGS (P<0.05), whereas solar radiation had a non-significant positive effect (P ≥ 0.05). The indirect effects of maximum temperature, precipitation, and solar radiation on vegetation GPPGS were all non-significantly negative (P ≥ 0.05). Under the combined effects of direct and indirect influences, precipitation and maximum temperature had a non-significant positive effect on vegetation GPPGS (P ≥ 0.05), whereas solar radiation had a non-significant negative effect on vegetation GPPGS (P ≥ 0.05). Among different vegetation types, precipitation was the main climate factor affecting the changes in GPPGS of cultivated vegetation, whereas the maximum temperature was the main climate factor affecting the changes in GPPGS of coniferous forests, broad-leaved forests, shrubs, and grasslands. ④ The changes in vegetation GPPGS in the middle and lower reaches of the Yangtze River were mainly influenced by the direct effects of maximum temperature, precipitation, and solar radiation, with the direct effect of precipitation dominating 56.72% of the changes in GPPGS. The research results can provide a reference for quantifying the carbon sequestration potential of vegetation in the middle and lower reaches of the Yangtze River and formulating ecological restoration governance policies tailored to local conditions under the background of global climate change.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
- School of Geosciences and Info-physics, Central South University, Changsha 410083, China
| | - Yu-Chun Pan
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Bin Zou
- School of Geosciences and Info-physics, Central South University, Changsha 410083, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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Xu Y, Zheng ZW, Meng YC, Pan YC, Guo ZD, Zhang Y. [Spatio-temporal Variation in Net Primary Productivity of Different Vegetation Types and Its Influencing Factors Exploration in Southwest China]. Huan Jing Ke Xue 2024; 45:262-274. [PMID: 38216477 DOI: 10.13227/j.hjkx.202302121] [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] [Subscribe] [Scholar Register] [Indexed: 01/14/2024]
Abstract
Studying the spatiotemporal variation in vegetation net primary productivity (NPP) and exploring its influencing factors are of considerable practical significance for understanding the spatiotemporal variation in vegetation and for guiding ecological restoration and management projects based on local conditions. Based on MODIS NPP data, combined with in situ meteorological data, land use data, and vegetation type data, this study explores the spatiotemporal variation in different types of vegetation NPP in southwest China via the Mann-Kendall significance test and Theil-Sen Median slope estimator. It reveals the influencing factors of spatial differentiation of different types of vegetation NPP and the interaction between influencing factors in combination with stability analysis and Geo Detectors. The results revealed that on the temporal scale, from 2000 to 2021, vegetation NPP, NPPPre (vegetation NPP exclusively under the influence of climate change), and NPPRes (vegetation NPP exclusively under the influence of human activities) in southwest China showed a fluctuating upward trend. Among different vegetation types, NPP, NPPPre, and NPPRes exhibited an upward trend, except for a minor decline in NPPRes of tree vegetation at a rate of -0.183 g·(m2·a)-1. Among them, NPP, NPPPre, and NPPRes of economic vegetation showed the most significant upward rates, 5.96, 3.09, and 2.94 g·(m2·a)-1, respectively. On the spatial scale, the tree vegetation NPP with the most significant downward trend was mainly distributed in Tibet and southern Yunnan, while the economic vegetation NPP with the highest upward trend was primarily distributed in eastern Sichuan Province. The stability of vegetation NPP in southwest China presented a spatial distribution pattern of "low in the south and high in the north," and the average value of the correlation coefficient increased in the ascending order of arbor vegetation (0.101), shrub vegetation (0.105), herb vegetation (0.110), and economic vegetation (0.114). The interaction between surface temperature and relative humidity was the main influencing factor for spatial differentiation of vegetation NPP, while the interaction between sunshine duration and warmth index had the most significant impact on vegetation in southwest China, with an increasing percentage of 30.91%. Different types of vegetation had different requirements for different climatic factors, but their requirements for surface temperature and warmth index were significantly consistent. When the surface temperature was 21.03-28.49℃, and the warmth index was 106.46-167.2, the NPP of different vegetation types peaked. Under natural succession, the impact of climate change on vegetation was inversely proportional to the stability of the vegetation community. The arbor vegetation community with high stability was less affected, while the herb vegetation community with low stability was highly affected by climate. In contrast, the stability of economic vegetation was directly proportional to the impact of climate due to the influence of human activities. This study establishes a theoretical foundation for evaluating the impact of regional climate on the growth of different vegetation types and can be crucial for formulating ecological restoration and management strategies in southwest China that are adapted to the local conditions.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Yu-Chi Meng
- Department of Spatial Planning, Technical University of Dortmund, Dortmund 44135, Germany
| | - Yu-Chun Pan
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Yan Zhang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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Xu Y, Guo ZD, Zheng ZW, Dai QY, Zhao C, Huang WT. [Spatio-temporal Variation and Multi-dimensional Detection of Driving Mechanism of PM 2.5 Concentration in the Chengdu-Chongqing Urban Agglomeration from 2000 to 2021]. Huan Jing Ke Xue 2023; 44:3724-3737. [PMID: 37438272 DOI: 10.13227/j.hjkx.202207276] [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: 07/14/2023]
Abstract
Studies on the spatio-temporal variation and driving mechanism of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration are of great significance for regional atmospheric environment protection and national economic sustainable development. Based on PM2.5 remote sensing data, DEM data, in situ meteorological data, MODIS NDVI data, population density data, nighttime lighting data, road network data, and land use type data, a series of mathematical methods such as Theil-Sen Medium analysis and Mann-Kendall significance test, combined with the Geo-detector model were used to analyze the spatio-temporal variation and multi-dimensional detection of the driving mechanism of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration. The results showed that the overall PM2.5 concentration showed a fluctuating downward trend in the Chengdu-Chongqing urban agglomeration from 2000 to 2021, and the PM2.5 pollution was the most prominent in winter. PM2.5 concentration exhibited obvious spatial heterogeneity with "high in the middle and low in the surrounding areas." The high-PM2.5 concentration areas were mainly concentrated in Zigong, Neijiang, Ziyang, and Guang'an, and the areas with a PM2.5 concentration decrease were mainly concentrated in the west of Chongqing. Influencing detection results showed that the spatial heterogeneity of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration was influenced by the combined effects of climate factors, topographic factors, vegetation cover, and anthropogenic factors. Furthermore, elevation, slope, and road network density were regarded as the dominant factors influencing the spatial heterogeneity of PM2.5 concentration in the study area. Topographic factors and climate factors showed the highest and lowest contribution rate to the spatial heterogeneity of PM2.5 concentration, respectively. The contribution rate of topographic factors and anthropogenic factors had gradually increased, and the contribution rate of climate factors and vegetation cover had gradually decreased in the study area from 2000 to 2021. Interaction detection results showed that the spatial heterogeneity of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration was mostly affected by the interaction effects of elevation and road network density, slope, precipitation, sunshine duration, and land use type. The interaction detection results exhibited obvious regional differences on the city level. For instance, the spatial heterogeneity of PM2.5 concentration in Chengdu, Deyang, and Leshan was mostly affected by the interaction between different influencing types, and the spatial heterogeneity of PM2.5 concentration in Dazhou, Meishan, Ya'an, Ziyang, Neijiang, and Zigong was mostly affected by the interaction within a single influencing type.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Qiang-Yu Dai
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Chun Zhao
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Wen-Ting Huang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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Xu Y, Huang HY, Dai QY, Guo ZD, Zheng ZW, Pan YC. [Spatial-temporal Variation in Net Primary Productivity in Terrestrial Vegetation Ecosystems and Its Driving Forces in Southwest China]. Huan Jing Ke Xue 2023; 44:2704-2714. [PMID: 37177943 DOI: 10.13227/j.hjkx.202207068] [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: 05/15/2023]
Abstract
Studying the spatial-temporal variation in net primary productivity (NPP) in terrestrial vegetation ecosystems and its driving forces in southwest China is of great importance for regional eco-environmental protection. The spatial and temporal changes in net primary productivity (NPP) in terrestrial vegetation ecosystems and its responding characteristics to climate change and human activities were explored in this study on the basis of the Moderate Resolution Imaging Spectroradiometer (MODIS) NPP from 2000 to 2021, in situ meteorological data from 1999 to 2021, and land use type datasets from 2000 to 2020 using principal component analysis, residual analysis, Theil-Sen Median analysis, and partial correlation analysis. The results showed that on a temporal scale, the vegetation NPP showed a fluctuating upward trend, with a rate of 3.54 g·(m2·a)-1in southwest China from 2000 to 2021. Meanwhile, under the influence of climate change and human activities, NPP of farmland, grassland, and forests all showed an upward trend, but the magnitude of the increasing trends of farmland NPP was the most significant. On the spatial scale, the areas with an upward trend in vegetation NPP accounted for 89.06% in southwest China, and the areas with significant and extremely significant increases were mainly distributed in southern Guangxi, eastern Sichuan, western Chongqing, and the junction areas of Yunnan and Guizhou. Climate change and human activities had dual effects on vegetation growth in southwest China, and the proportions of the areas with upward trends in farmland NPP were higher than that of grassland and forests both under the influences of climate change and human activities. The correlations between vegetation NPP and climate factors showed obvious regional differences in southwest China. On the regional scale, the areas with a positive correlation between vegetation NPP and temperature, precipitation, and sunshine duration were greater than that of the areas with a negative correlation. However, an opposite relationship could be found between vegetation NPP and biological aridity/humidity index. Among them, the areas with a positive correlation between vegetation NPP and temperature were greater than that with other climate factors. In terms of different vegetation ecosystems, temperature, precipitation, and sunshine duration had a stronger role in promoting NPP variation in the grassland ecosystem than in farmland and forest ecosystems. The transformation of other land use types to forest land had contributed to vegetation improvement in southwest China.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Hai-Yan Huang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Qiang-Yu Dai
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Yu-Chun Pan
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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Xu Y, Li XY, Huang WT, Guo ZD, Pan YC, Zheng ZW, Dai QY. [Spatio-temporal Variation in PM 2.5 Concentration and Its Relationship with Vegetation Landscape Patterns in Typical Economic Zones in China from 2000 to 2020]. Huan Jing Ke Xue 2023; 44:1852-1864. [PMID: 37040936 DOI: 10.13227/j.hjkx.202205283] [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: 04/13/2023]
Abstract
This study explored the temporal and spatial variation in PM2.5 concentration and its relationship with the vegetation landscape pattern in three typical economic zones in China, which is of great significance for regional PM2.5pollution control and atmospheric environmental protection. In this study, the pixel binary model, Getis-Ord Gi* analysis, Theil-Sen Median analysis, Mann-Kendall significance test, Pearson correlation analysis, and multiple correlation analysis were used to explore the spatial cluster and spatio-temporal variation in PM2.5 and its correlation with the vegetation landscape index in the three economic zones of China on the basis of PM2.5 concentration data and MODIS NDVI data set. The results showed that PM2.5 in the Bohai Economic Rim was mainly dominated by the expansion of hot spots and the reduction in cold spots from 2000 to 2020. The proportion of cold spots and hot spots in the Yangtze River Delta showed insignificant changes. Both cold and hot spots in the Pearl River Delta had expanded. PM2.5 showed a downward trend in the three major economic zones from 2000 to 2020, and the magnitudes of increasing rates were higher in the Pearl River Delta, followed by those in the Yangtze River Delta and Bohai Economic Rim. From 2000 to 2020, PM2.5 exhibited a downward trend in the context of all vegetation coverage grades, and PM2.5 had most significantly improved within extremely low vegetation coverage in the three economic zones. On the landscape scale, PM2.5 values were mostly correlated with aggregation index in the Bohai Economic Rim, with the largest patch index in the Yangtze River Delta and Shannon's diversity in the Pearl River Delta, respectively. Under the context of different vegetation coverage levels, PM2.5showed the highest correlation with aggregation index in the Bohai Economic Rim, landscape shape index in the Yangtze River Delta, and percent of landscape in the Pearl River Delta, respectively. PM2.5 showed significant differences with vegetation landscape indices in the three economic zones. The combined effect of multiple vegetation landscape pattern indices on PM2.5 was stronger than that of the single vegetation landscape pattern index. The above results indicated that the spatial cluster of PM2.5 in the three major economic zones had changed, and PM2.5 showed a decreasing trend in the three economic zones during the study period. The relationship between PM2.5 and vegetation landscape indices exhibited obvious spatial heterogeneity in the three economic zones.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Xin-Yi Li
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Wen-Ting Huang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Yu-Chun Pan
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Qiang-Yu Dai
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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Zhang M, Sun Y, Zhang Y, Wang Z, Wang ZY, Ming XY, Guo ZD. Lipopolysaccharide and lipoteichoic acid regulate the PI3K/AKT pathway through osteopontin/integrin β3 to promote malignant progression of non-small cell lung cancer. J Thorac Dis 2023; 15:168-185. [PMID: 36794132 PMCID: PMC9922606 DOI: 10.21037/jtd-22-1825] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 01/06/2023] [Indexed: 01/18/2023]
Abstract
Background Lung cancer (LC) is a malignancy with one of the highest mortality rates. Respiratory microbiota is considered to play a key role in the development of LC, but the molecular mechanisms are rarely studied. Methods We used lipopolysaccharide (LPS) and lipoteichoic acid (LTA) to study human lung cancer cell lines PC9 and H1299. The gene expression of CXC chemokine ligand (CXCL)1/6, interleukin (IL)-6, IL-8, and tumor necrosis factor (TNF)-α were analyzed by quantitative real-time polymerase chain reaction (qRT-PCR). The Cell-Counting Kit 8 (CCK-8) was used to analyze cell proliferation. Transwell assays were performed to analyze cell migration ability. Flow cytometry was used to observe cell apoptosis. Western blot and qRT-PCR were used to analyze the expression of secreted phosphoprotein 1 (SPP1), toll-like receptor (TLR)-2/4, and NLR family pyrin domain containing 3 (NLRP3) to determine the mechanism of LPS + LTA. We evaluated the effect of LPS + LTA on cisplatin sensibility by analyzing cell proliferation, apoptosis, and caspase-3/9 expression levels. We observed the proliferation activity, apoptosis, and migration ability of cells in which SPP1 had been transfected small interfering (si) negative control (NC) and integrin β3 siRNA. Then the mRNA expression level and protein expression of PI3K, AKT, and ERK were analyzed. Finally, the nude mouse tumor transplantation model was conducted to verify. Results We studied that in two cell lines, the expression level of inflammatory factors in LPS+LTA group was significantly higher than that in single treatment group (P<0.001). We explored LPS + LTA combined treatment group significantly increased the expression of NLRP3 and genes and proteins. LPS + LTA + Cisplatin group could significantly reduce the inhibitory effect of LPS on cell proliferation (P<0.001), reduce the apoptosis rate (P<0.001) and significantly reduce the expression levels of caspase-3/9 (P<0.001) compared with Cisplatin group. Finally, we verified that LPS and LTA could increase osteopontin (OPN)/integrin β3 expression and activate the PI3K/AKT pathway to promote malignant progression of LC in vitro studies. Conclusions This study provides a theoretical basis for further exploration of the influence of lung microbiota on NSCLC and the optimization of LC treatment in the future.
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Affiliation(s)
- Miao Zhang
- Department of Oncology, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Yi Sun
- Department of Oncology, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Yan Zhang
- Department of Oncology, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Zhen Wang
- Department of Oncology, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Zhao-Yi Wang
- Department of Oncology, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Xi-Yue Ming
- Department of Oncology, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Zhen-Dong Guo
- Beijing Goldstandard Medicine Independent Clinical Laboratory Co. Ltd., Beijing, China
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Xu Y, Dai QY, Huang WT, Pan YC, Zheng ZW, Guo ZD. [Spatio-temporal Variation in Vegetation Cover and Its Driving Mechanism Exploration in Southwest China from 2000 to 2020]. Huan Jing Ke Xue 2023; 44:323-335. [PMID: 36635820 DOI: 10.13227/j.hjkx.202203154] [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: 01/14/2023]
Abstract
Using the MOD13A3 NDVI time series from 2000 to 2020, climate date from 1999 to 2020, and land use type data in 2000 and 2020, the spatio-temporal variation in vegetation cover and the driving mechanisms of climate change and human activities to vegetation variation were analyzed based on Theil-Sen Median analysis, the Mann-Kendall significance test, the multi-collinearity test, residual analysis, and relative analysis. The results showed that the vegetation cover exhibited a fluctuating and increasing trend with a magnitude of 0.0016 a-1 in southwest China from 2000 to 2020. The increasing trend of vegetation cover was mostly significant in the Guangxi Hills and Yunnan-Guizhou Plateau and slightly significant in the Tibet Plateau. The vegetation cover had increased in the context of climate change and human activities, with an increasing rate of 0.0010 a-1 and 0.0006 a-1, respectively. The vegetation improvement was mostly dominated by the combination effects of climate change and human activities. The vegetation improvement was dominated by climate change, and the relative role of climate change reached 61.86%. What is more, the vegetation degradation was dominated by human activities, and the relative role of human activities reached 58.39%. Vegetation cover was positively related to minimum temperature, precipitation, maximum temperature, potential evapotranspiration rate, and relative humidity and negatively related to mean temperature, atmosphere pressure, sunshine duration, warmth index, and humidity index. As a whole, the minimum temperature, sunshine duration, and precipitation were the dominant climate factors affecting the vegetation variation in southwest China. Furthermore, the land use and land cover change were significantly related to vegetation variation in southwest China. The implementation of ecological afforestation projects could be beneficial to regional vegetation improvement, whereas the vegetation degradation was mostly conducted by the built-up land expansion.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Qiang-Yu Dai
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Wen-Ting Huang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Yu-Chun Pan
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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Xu Y, Zheng ZW, Guo ZD, Dou SQ, Huang WT. [Dynamic Variation in Vegetation Cover and Its Influencing Factor Detection in the Yangtze River Basin from 2000 to 2020]. Huan Jing Ke Xue 2022; 43:3730-3740. [PMID: 35791556 DOI: 10.13227/j.hjkx.202112081] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Studies on the dynamic variation in vegetation cover and detecting its influencing factors are highly valuable for monitoring regional ecological environment quality and evaluating forestry restoration project effects. In this study, on the basis of the MODIS normalized difference vegetation index (NDVI), in situ climate data, digital elevation model, population density, nighttime lights using Theil-Sen Median analysis, Mann-Kendall significance test, stability analysis, and geographical detector model, the spatiotemporal variation and stability of vegetation cover in the context of multi-spatiotemporal scales were analyzed, and the dominant influencing factors that affect the spatial differentiation of vegetation cover were further detected. The results showed that the vegetation cover showed a fluctuant increasing trend, and the changing trend exhibited obvious spatial heterogeneity with the increasing rate being higher in the middle and lower in the east and west portion of the Yangtze River basin from 2000 to 2020. At the sub-basin scale, except for that in the Taihu Lake basin, the vegetation cover in all sub-basin units exhibited an increasing trend during the study period. The areas with an increasing trend accounted for 84.09% of the study area, in which the areas with extremely significant increases and significant increases accounted for 53.67%, which were mainly distributed in the Wujiang River basin, Yibin-yichang, Jialing River basin, Han River basin, and Dongting Lake basin. The vegetation cover showed lower stability in the upper reaches of the Jinsha-shigu River basin and Taihu Lake basin and higher stability in other sub-basin units of the study area. Elevation was an important factor affecting the vegetation variation in all sub-basin areas. Climatic factors presented the highest impact on vegetation variation in the upper reaches of the Jinsha-shigu River basin, and human activities exhibited the greatest impact on vegetation variation in the Wujiang River basin, lower reaches of Hukou basin, and Taihu Lake basin. The interaction of the two influencing factors on vegetation variation showed mutual and non-linear enhancement, and the interaction between elevation and wind speed presented the highest value, with an explanatory power of 68%. The ecological exploration results showed that human activities combined with topographic factors and climate factors, except for slope and relative humidity, significantly differed in the explanatory power of vegetation variation in the Yangtze River basin. These results can provide a basis for formulating comprehensive vegetation resource management in the Yangtze River basin that takes into account regional climate, topography, and human activities.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Shi-Qing Dou
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Wen-Ting Huang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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Xu Y, Huang WT, Dou SQ, Guo ZD, Li XY, Zheng ZW, Jing JL. [Responding Mechanism of Vegetation Cover to Climate Change and Human Activities in Southwest China from 2000 to 2020]. Huan Jing Ke Xue 2022; 43:3230-3240. [PMID: 35686793 DOI: 10.13227/j.hjkx.202108107] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Studying vegetation cover variation and its responding mechanism to climate change and human activities is of great significance for regional ecological protection and vegetation restoration. In this study, on the basis of MODIS NDVI, in situ climate data, and land use type data using Theil-Sen Median analysis, the Mann-Kendall significance test, residual analysis, partial correlation analysis, and multi-correlation analysis, the spatial and temporal variation in vegetation cover and its response to climate change and the land use/land cover change in each geomorphological unit in southwest China were analyzed. The vegetation cover showed a fluctuant increasing trend, and the changing trend exhibited obvious spatial heterogeneity, with the increasing rate being higher in the southeast and lower in the northwest of southwest China from 2000 to 2020. The vegetation variation was dominated by positive effects of the climate change and human activities in southwest China, and the positive effects were stronger in Guangxi Hill than those in other geomorphological units. Furthermore, from 2000 to 2020 the vegetation cover was positively associated with precipitation and temperature and negatively correlated with relative humidity and sunshine duration in southwest China. Temperature was considered to be the dominate climate factor controlling the vegetation variation in the study area. Urban expansion had decreased the region vegetation cover, but the overall vegetation cover had increased in southwest China due to the suitable regional climate conditions and the implementation of ecological reforestation projection. These results can provide scientific references for ecological protection and economic sustainable development in southwest China.
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Affiliation(s)
- Yong Xu
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Wen-Ting Huang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Shi-Qing Dou
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhen-Dong Guo
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Xin-Yi Li
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Zhi-Wei Zheng
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
| | - Juan-Li Jing
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
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11
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Guo ZD, Wang ZY, Zhang SF, Li X, Li L, Li C, Cui Y, Fu RB, Dong YZ, Chi XY, Zhang MY, Liu K, Cao C, Liu B, Zhang K, Gao YW, Lu B, Chen W. Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020. Emerg Infect Dis 2020; 26:1583-1591. [PMID: 32275497 PMCID: PMC7323510 DOI: 10.3201/eid2607.200885] [Citation(s) in RCA: 657] [Impact Index Per Article: 164.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
To determine distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards in Wuhan, China, we tested air and surface samples. Contamination was greater in intensive care units than general wards. Virus was widely distributed on floors, computer mice, trash cans, and sickbed handrails and was detected in air ≈4 m from patients.
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12
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Liu XC, Wu SH, Wang WY, Hao Q, Guo ZD, Wang WZ. [Regulatory effect of exosomes secreted by vaginal wall fibroblasts on angiogenesis in patients with stress urinary incontinence]. Zhonghua Yi Xue Za Zhi 2019; 99:510-514. [PMID: 30786348 DOI: 10.3760/cma.j.issn.0376-2491.2019.07.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Exosomes are considered to mediate intercellular communication by delivering biomolecules like mRNA, miRNA into recipient cells. The purpose of this study was to evaluate the effects of exosomes secreted by fibroblasts from women with stress urinary incontinence (SUI-EXO) on endothelial cells angiogenesis. Methods: Primary fibroblasts were acquired from periurethral vaginal wall tissues and exosomes were prepared by ultracentrifugation of fibroblasts cells conditioned medium. The expression levels of pro-angiogenic and anti-angiogenic genes were assessed using qRT-PCR analysis. Migration of endothelial cells was measured by transwell assay, and the effects of SUI-EXO on angiogenesis were evaluated by performing a tube formation assay in vitro. Results: SUI-EXO was successfully isolated from fibroblasts cells conditional medium and transferred to endothelial cells efficiently. When the endothelial cells were treated with SUI-EXO, the expression levels of pro-angiogenic genes in fibroblasts were downregulated, and the expression levels of anti-angiogenic genes were upregulated significantly (P<0.01). Endothelial cells exhibited a decreased migratory capacity after treatment with SUI-EXO compared to exosomes from health women (64.6±8.7 vs 114.5±14.2,P<0.01), and tube formation of endothelial cells was also significantly inhibited in the SUI-EXO treated group as determined by the increase of the tube length (87.6±13.3 vs 168.5±28.3,P<0.01). Conclusion: This study suggests that SUI-EXO plays related roles in regulating endothelial cells angiogenesis and SUI-EXO maybe involve in the pathogenesis of SUI.
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Affiliation(s)
- X C Liu
- Department of Obstetrics & Gynecology, Shanxi Academy of Medical Sciences & Shanxi Da Yi Hospital, Shanxi Da Yi Hospital Affiliated to Shanxi Medical University, Taiyuan 030032, China
| | - S H Wu
- Department of Obstetrics & Gynecology, Shanxi Academy of Medical Sciences & Shanxi Da Yi Hospital, Shanxi Da Yi Hospital Affiliated to Shanxi Medical University, Taiyuan 030032, China
| | - W Y Wang
- Department of Obstetrics & Gynecology, Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China
| | - Q Hao
- Department of Obstetrics & Gynecology, Shanxi Academy of Medical Sciences & Shanxi Da Yi Hospital, Shanxi Da Yi Hospital Affiliated to Shanxi Medical University, Taiyuan 030032, China
| | - Z D Guo
- Department of Obstetrics & Gynecology, Shanxi Academy of Medical Sciences & Shanxi Da Yi Hospital, Shanxi Da Yi Hospital Affiliated to Shanxi Medical University, Taiyuan 030032, China
| | - W Z Wang
- Department of Obstetrics & Gynecology, Shanxi Academy of Medical Sciences & Shanxi Da Yi Hospital, Shanxi Da Yi Hospital Affiliated to Shanxi Medical University, Taiyuan 030032, China
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13
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Wang ZY, Guo ZD, Li JM, Zhao ZZ, Fu YY, Zhang CM, Zhang Y, Liu LN, Qian J, Liu LN. Genome-Wide Search for Competing Endogenous RNAs Responsible for the Effects Induced by Ebola Virus Replication and Transcription Using a trVLP System. Front Cell Infect Microbiol 2017; 7:479. [PMID: 29209594 PMCID: PMC5702449 DOI: 10.3389/fcimb.2017.00479] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Accepted: 11/03/2017] [Indexed: 11/18/2022] Open
Abstract
Understanding how infected cells respond to Ebola virus (EBOV) and how this response changes during the process of viral replication and transcription are very important for establishing effective antiviral strategies. In this study, we conducted a genome-wide screen to identify long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), micro RNAs (miRNAs), and mRNAs differentially expressed during replication and transcription using a tetracistronic transcription and replication-competent virus-like particle (trVLP) system that models the life cycle of EBOV in 293T cells. To characterize the expression patterns of these differentially expressed RNAs, we performed a series cluster analysis, and up- or down-regulated genes were selected to establish a gene co-expression network. Competing endogenous RNA (ceRNA) networks based on the RNAs responsible for the effects induced by EBOV replication and transcription in human cells, including circRNAs, lncRNAs, miRNAs, and mRNAs, were constructed for the first time. Based on these networks, the interaction details of circRNA-chr19 were explored. Our results demonstrated that circRNA-chr19 targeting miR-30b-3p regulated CLDN18 expression by functioning as a ceRNA. These findings may have important implications for further studies of the mechanisms of EBOV replication and transcription. These RNAs potentially have important functions and may be promising targets for EBOV therapy.
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Affiliation(s)
- Zhong-Yi Wang
- Academy of Military Medical Sciences, Beijing, China
| | - Zhen-Dong Guo
- Academy of Military Medical Sciences, Beijing, China
| | - Jia-Ming Li
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China
| | | | - Ying-Ying Fu
- Academy of Military Medical Sciences, Beijing, China
| | | | - Yi Zhang
- Academy of Military Medical Sciences, Beijing, China
| | - Li-Na Liu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China
| | - Jun Qian
- Academy of Military Medical Sciences, Beijing, China
| | - Lin-Na Liu
- Academy of Military Medical Sciences, Beijing, China
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14
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Tong YG, Shi WF, Liu D, Qian J, Liang L, Bo XC, Liu J, Ren HG, Fan H, Ni M, Sun Y, Jin Y, Teng Y, Li Z, Kargbo D, Dafae F, Kanu A, Chen CC, Lan ZH, Jiang H, Luo Y, Lu HJ, Zhang XG, Yang F, Hu Y, Cao YX, Deng YQ, Su HX, Sun Y, Liu WS, Wang Z, Wang CY, Bu ZY, Guo ZD, Zhang LB, Nie WM, Bai CQ, Sun CH, An XP, Xu PS, Zhang XLL, Huang Y, Mi ZQ, Yu D, Yao HW, Feng Y, Xia ZP, Zheng XX, Yang ST, Lu B, Jiang JF, Kargbo B, He FC, Gao GF, Cao WC. Erratum: Genetic diversity and evolutionary dynamics of Ebola virus in Sierra Leone. Nature 2015; 526:595. [PMID: 26308898 PMCID: PMC10759983 DOI: 10.1038/nature15255] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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15
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Tong YG, Shi WF, Liu D, Qian J, Liang L, Bo XC, Liu J, Ren HG, Fan H, Ni M, Sun Y, Jin Y, Teng Y, Li Z, Kargbo D, Dafae F, Kanu A, Chen CC, Lan ZH, Jiang H, Luo Y, Lu HJ, Zhang XG, Yang F, Hu Y, Cao YX, Deng YQ, Su HX, Sun Y, Liu WS, Wang Z, Wang CY, Bu ZY, Guo ZD, Zhang LB, Nie WM, Bai CQ, Sun CH, An XP, Xu PS, Zhang XLL, Huang Y, Mi ZQ, Yu D, Yao HW, Feng Y, Xia ZP, Zheng XX, Yang ST, Lu B, Jiang JF, Kargbo B, He FC, Gao GF, Cao WC. Genetic diversity and evolutionary dynamics of Ebola virus in Sierra Leone. Nature 2015; 524:93-6. [PMID: 25970247 PMCID: PMC10601608 DOI: 10.1038/nature14490] [Citation(s) in RCA: 127] [Impact Index Per Article: 14.1] [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: 01/30/2015] [Accepted: 04/23/2015] [Indexed: 01/22/2023]
Abstract
A novel Ebola virus (EBOV) first identified in March 2014 has infected more than 25,000 people in West Africa, resulting in more than 10,000 deaths. Preliminary analyses of genome sequences of 81 EBOV collected from March to June 2014 from Guinea and Sierra Leone suggest that the 2014 EBOV originated from an independent transmission event from its natural reservoir followed by sustained human-to-human infections. It has been reported that the EBOV genome variation might have an effect on the efficacy of sequence-based virus detection and candidate therapeutics. However, only limited viral information has been available since July 2014, when the outbreak entered a rapid growth phase. Here we describe 175 full-length EBOV genome sequences from five severely stricken districts in Sierra Leone from 28 September to 11 November 2014. We found that the 2014 EBOV has become more phylogenetically and genetically diverse from July to November 2014, characterized by the emergence of multiple novel lineages. The substitution rate for the 2014 EBOV was estimated to be 1.23 × 10(-3) substitutions per site per year (95% highest posterior density interval, 1.04 × 10(-3) to 1.41 × 10(-3) substitutions per site per year), approximating to that observed between previous EBOV outbreaks. The sharp increase in genetic diversity of the 2014 EBOV warrants extensive EBOV surveillance in Sierra Leone, Guinea and Liberia to better understand the viral evolution and transmission dynamics of the ongoing outbreak. These data will facilitate the international efforts to develop vaccines and therapeutics.
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Affiliation(s)
- Yi-Gang Tong
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Wei-Feng Shi
- Institute of Pathogen Biology, Taishan Medical College, Taian, 271000 China
| | - Di Liu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101 China
| | - Jun Qian
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Long Liang
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Xiao-Chen Bo
- Beijing Key Laboratory of New Molecular Diagnostics Technology, Beijing, 100850 China
| | - Jun Liu
- Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 China
| | - Hong-Guang Ren
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Hang Fan
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Ming Ni
- Beijing Key Laboratory of New Molecular Diagnostics Technology, Beijing, 100850 China
| | - Yang Sun
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Yuan Jin
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Yue Teng
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Zhen Li
- Beijing Key Laboratory of New Molecular Diagnostics Technology, Beijing, 100850 China
| | - David Kargbo
- Sierra Leone Ministry of Health and Sanitation, Freetown, Sierra Leone
| | - Foday Dafae
- Sierra Leone Ministry of Health and Sanitation, Freetown, Sierra Leone
| | - Alex Kanu
- Sierra Leone-China Friendship Hospital, Freetown, Sierra Leone
| | | | | | - Hui Jiang
- BGI-Shenzhen, Shenzhen, 518083 China
| | - Yang Luo
- Wellcome Trust Sanger Institute, Cambridge, CB10 1SA UK
| | - Hui-Jun Lu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Xiao-Guang Zhang
- Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 China
| | - Fan Yang
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730 China
| | - Yi Hu
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Yu-Xi Cao
- Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 China
| | - Yong-Qiang Deng
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Hao-Xiang Su
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730 China
| | - Yu Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Wen-Sen Liu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Zhuang Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Cheng-Yu Wang
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Zhao-Yang Bu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Zhen-Dong Guo
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Liu-Bo Zhang
- Institute of Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, 100021 China
| | | | | | - Chun-Hua Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Xiao-Ping An
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Pei-Song Xu
- Beijing Key Laboratory of New Molecular Diagnostics Technology, Beijing, 100850 China
| | | | - Yong Huang
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Zhi-Qiang Mi
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Dong Yu
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Hong-Wu Yao
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Yong Feng
- Department of international cooperation, National Health and Family Planning Commission, Beijing, 100044 China
| | - Zhi-Ping Xia
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Xue-Xing Zheng
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Song-Tao Yang
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, 130122 China
| | - Bing Lu
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Jia-Fu Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
| | - Brima Kargbo
- Sierra Leone Ministry of Health and Sanitation, Freetown, Sierra Leone
| | - Fu-Chu He
- State Key Laboratory of Proteomics, Beijing, 102206 China
| | - George F. Gao
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101 China
- Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206 China
- Chinese Center for Disease Control and Prevention, Beijing, 102206 China
| | - Wu-Chun Cao
- State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071 China
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16
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Abstract
We have prepared fusion proteins of muscarinic M1-M5 receptors with alpha subunits of G proteins Gi1, Gi2, Gs, G11, G16 and chimera of G protein alpha subunits using the bacurovirus-Sf9 expression system. In fusion proteins such as M2-Gi1alpha and M4-Gi1alpha, agonist caused the decrease in the apparent affinity for GDP of these fusion proteins and then the increase in [35S]GTPgammaS binding in the presence of GDP. Thus we could use the membrane preparation expressing these fusion proteins as a tool to screen agonists and antagonists. On the other hand, the effect of agonists to decrease the apparent affinity for GDP was not clearly observed in fusion proteins of Gq/G11-coupled receptors such as M1-G11alpha, M3-G11alpha, and M5-G11alpha. The effect of agonists could be observed for fusion proteins with G16alpha of muscarinic M1, M2 and adrenergic beta2 receptors, but the extent of the effect was much less than that for fusion proteins with Gi1alpha of Gi/Go-coupled receptors. Fusion proteins of M1 receptors with Gi1alpha or chimera of G16alpha and Gi2alpha were also not effective in detecting the action of agonists.
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Affiliation(s)
- Z D Guo
- Department of Neurochemistry, Faculty of Medicine, University of Tokyo, Hongo, Japan
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17
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Ma B, Guo ZD. [Relation between the properties and its induced signal transduction pathways of muscarinic acetylcholine receptor and neoplasm]. Sheng Li Ke Xue Jin Zhan 1999; 30:341-4. [PMID: 12532830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
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18
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Guo ZD, Li Z, Ruan Y, Cong H, Zhang KY. [Distribution of muscarinic receptors of different affinities in smooth muscle of human stomach]. Zhongguo Yao Li Xue Bao 1991; 12:180-3. [PMID: 1776486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Muscarinic receptors of high and low affinity were found in the fundus and the body of human stomach through the contraction experiment combined with ligand method in vitro. The 2 types of muscarinic receptors with different affinity regulated respectively the contractions of the longitudinal and the circular muscle of human gastric fundus and gastric body. However, in the antrum exists only one kind of muscarinic receptors of high affinity, which regulated the contractions of the longitudinal and the circular muscles of human stomach. The contractile force of the longitudinal muscle induced by exogenous ACh in the fundus and that in the body of human stomach were found to be similar to each other. The contractile force of the circular muscle in the body was found to be the strongest, and the contractile force of both longitudinal and circular muscles in antrum was weaker.
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Affiliation(s)
- Z D Guo
- Department of Pharmacology, China Medical University, Shenyang
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19
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Li Z, Ruan Y, Guo ZD, Cong H, Zhang KY, Takemura H. Function and localization of high and low affinity binding sites to muscarinic receptors in longitudinal and circular smooth muscles of human stomach. Res Commun Chem Pathol Pharmacol 1990; 67:31-42. [PMID: 2326547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The contractile response to acetylcholine (ACh) and the binding of [3H]-quinuclidinyl benzilate [( 3H]QNB) to muscarinic receptors in both longitudinal and circular muscles were examined in fundus, body and antrum of human stomach which was obtained by surgical operation for gastric cancer or ulcer. The values of pD2 and pA2 for ACh and atropine, respectively, on longitudinal muscle of fundus were similar to those of body but were larger than those of antrum. On the other hand, the values of pD2 and pA2 on circular muscles were not different among fundus, body, and antrum and were similar to those on longitudinal muscle of antrum. By Scatchard analysis of receptor binding of [3H]QNB in homogenate, at least two subclasses of binding sites, i.e. high and low affinity sites, were observed in fundus and body, while only high affinity binding site was found in antrum. Thus, we conclude that there are at least two subclasses of muscarinic receptors which regulate the contraction of smooth muscle in different regions of human stomach.
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Affiliation(s)
- Z Li
- Department of Pharmacology, Sapporo Medical College, Japan
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