Analysis of key targets for 5-hydroxymethyl-2-furfural-induced lung cancer based on network toxicology, network informatics, and in vitro experiments.

5-hydroxymethyl-2-furfural (5-HMF) is a by-product of Maillard reaction and widely exists in food and environment, which may lead to lung cancer. However, the relevant mechanism is unknown. This study aims to predict the key targets of 5-HMF-induced lung cancer through network toxicology, analyze the relationship between the key targets and lung cancer through network informatics, and further validate them through in vitro experiments. By using ChEMBL, STITCH, GeneCards, and OMIM databases, 51 toxic targets were identified. GO and KEGG enrichment analyses indicated a strong correlation between toxic targets and lung cancer. Through protein-protein interaction (PPI) analysis, MAPK3, MAPK1, and SRC were identified as key targets implicated in 5-HMF-induced lung cancer. The HPA database showed high expression of these three key targets in lung cancer tissues. Kaplan-Meier database demonstrated that the higher expression of these key targets in lung cancer patients was associated with a poorer prognosis. The TIMER database revealed that the high expression of these key targets had a significant impact on the level of immune cell infiltration in lung cancer, particularly impacting CD4+ T cells and macrophages. Finaly, in In vitro experiments demonstrated that prolonged exposure to 5-HMF induced malignant transformation of BEAS-2B cells and the upregulation of key targets. The findings suggest that 5-HMF is a contributing factor in the development of lung cancer, with MAPK3, MAPK1, and SRC potentially playing crucial roles in this process.

The rising human footprint in the Tibetan Plateau threatens the effectiveness of ecological restoration on vegetation growth.

Ecological restoration projects in the Tibetan Plateau aimed to reverse ecosystem degradation and safeguard the fragile alpine ecological environment. However, it is still being determined if the vegetation restoration is successful on a large scale or reaches the expected magnitude, restricting our ability to adapt practices to maximise the benefit. With multiple vegetation indices (VIs: NDVI, LAI, and GPP) from satellite observations and random forest machine-learning models, we performed an attribution study on vegetation growth trends caused by climate change and human activities. Then, we further explored the relationship between vegetation growth and ecological projects and human footprint without the influence of climate. The results showed that climatic change was a relatively strong driver of vegetation growth. The positive contributions of ecological restoration occurred only in half of the plateau due to the increased human footprint. Vegetation enhancement resulting from ecological restoration occurred in 13.1%-23.1% of the plateau. Among these values, ecological restoration counteracted the negative climate effects in 4.7%-8.3% of the plateau (about half of the negative climate effect area). In forest and grassland protection areas, the ecological restoration was more successful. The study provides a better understanding of the role of ecological projects in vegetation restoration and potential threats to its effectiveness. This is essential to improve future restoration projects.

Contribution of Tibetan Plateau ecosystems to local and remote precipitation through moisture recycling.

The ecosystems of the Tibetan Plateau (TP) provide multiple important ecosystem services that benefit both local populations and those beyond, such as through climate regulation services on precipitation for East Asia and China. However, the precipitation regulation service of the TP ecosystems for supplying moisture and maintaining precipitation is yet to be evaluated. In this study, we used the moisture recycling framework and a moisture tracking model to quantify the precipitation regulation services of TP ecosystems for their contribution to precipitation. We found TP ecosystems contributed substantially to local and downwind precipitation, with a contribution of 221 mm/year for the TP and neighboring areas through evapotranspiration (ET) (104 mm/year through transpiration), declined to <10 mm/year for eastern China and other surrounding countries. Among ecosystem types, grassland contributed most to precipitation, followed by barren and snow lands, forests, and shrublands. In terms of seasonality, precipitation contribution from TP ecosystems was greater in summer months than in non-summer months for western China, while the opposite was true for eastern China-although the magnitude was much smaller. Over the past two decades, the significant ET increases in TP translated to a widespread increase in precipitation contribution for TP and downwind beneficiary regions from 2000 to 2020. Our study provides a quantitative way to understand the precipitation regulation services of TP ecosystems through moisture recycling, substantiating their key role to maintain precipitation and the water cycle for downwind regions-effectively acting as an ecological safeguard that could be perceived by the public.

Natural and socio-environmental factors contribute to the transmissibility of COVID-19: evidence from an improved SEIR model.

COVID-19 has ravaged Brazil, and its spread showed spatial heterogeneity. Changes in the environment have been implicated as potential factors involved in COVID-19 transmission. However, considerable research efforts have not elucidated the risk of environmental factors on COVID-19 transmission from the perspective of infectious disease dynamics. The aim of this study is to model the influence of the environment on COVID-19 transmission and to analyze how the socio-ecological factors affecting the probability of virus transmission in 10 states dramatically shifted during the early stages of the epidemic in Brazil. First, this study used a Pearson correlation to analyze the interconnection between COVID-19 morbidity and socio-ecological factors and identified factors with significant correlations as the dominant factors affecting COVID-19 transmission. Then, the time-lag effect of dominant factors on the morbidity of COVID-19 was investigated by constructing a distributed lag nonlinear model and standard two-stage meta-analytic model, and the results were considered in the improved SEIR model. Lastly, a machine learning method was introduced to explore the nonlinear relationship between the environmental propagation probability and socio-ecological factors. By analyzing the impact of environmental factors on virus transmission, it can be found that population mobility directly caused by human activities had a greater impact on virus transmission than temperature and humidity. The heterogeneity of meteorological factors can be accounted for by the diverse climate patterns in Brazil. The improved SEIR model was adopted to explore the interconnection of COVID-19 transmission and the environment, which revealed a new strategy to probe the causal links between them.

Divergent responses of ecosystem services to afforestation and grassland restoration in the Tibetan Plateau.

Afforestation and grassland restoration have been proposed as important pathways for nature-based solutions. However, the effects of different ecological restoration projects on multiple ecosystem services are poorly understood, inhibiting our ability to maximize ecosystem services for further restoration. Here, we provide a comprehensive assessment of the impact of different ecological projects on ecosystem services (carbon storage, water conservation, soil retention), using a pairwise comparative study of samples from 90 project-control pairs in the Tibetan Plateau. Our results found that afforestation increased carbon storage (31.3%) and soil retention (37.6%), but the effects of grassland restoration on services were mixed, while the overall changes in water conservation were negligible. Prior land use/measures and the age of project implementation were key factors in regulating ecosystem service responses. For example, afforestation on bare land increased carbon storage and soil retention but indirectly decreased water conservation by influencing vegetation cover, while cropland afforestation increased water and soil retention. Ecosystem services increased with project age after afforestation. For grassland restoration, short-term recovery increased carbon storage but was not effective in improving water and soil retention. Climate and topography also directly or indirectly controlled the response of ecosystem services by affecting the changes in total nitrogen, total porosity, clay and fractional vegetation cover following the projects. This study improves our current understanding of the mechanisms underlying the responses of ecosystem services to afforestation and grassland restoration. Our results suggest that sustainable restoration management taking into account prior land use/measures, implementation age, climate, topography and other resources is critical for optimizing ecosystem services.

Ecosystem carbon sequestration service supports the Sustainable Development Goals progress.

Ecosystem carbon sequestration service (ECSS) is the benefits humans derive from the ecosystem carbon sequestration process, which is key to regulating climate, stabilising the natural foundation for development, and supporting the Sustainable Development Goals (SDGs) achievement. However, how ECSS contributes to the SDGs still needs to be discovered. Here, based on downscaling localisation SDG indicators, regression methods, and mechanism analysis, we identified the contribution of ECSS to the SDGs, taking China's Loess Plateau (LP) region as an example. The results showed that the LP made higher progress on resource and environmental SDGs, such as SDGs 13, 12, 6, and 7 (climate, consumption and production, water, and energy) in the last two decades. As for the relationships between ECSS and SDGs, the progress of SDGs 6, 7, 13 and 15 (water, energy, climate, and ecosystems) showed positive linear responses to ECSS. The response of SDGs 1, 4, 8, and 12 (poverty reduction, education, economic growth, and consumption and production) to ECSS showed a threshold when the standardised ECSS value was 0.11. To improve ECSS for a more sustainable ecological foundation underpinning the SDGs, ECSS management should be improved to protect the ecosystem carbon pool and improve carbon sequestration function, as well as to promote the social-ecological co-benefits. This work links carbon sequestration service to sustainable development and can help in leveraging nature's contributions towards carbon neutrality and the 2030 Agenda.

The role of nature reserves in conservation effectiveness of ecosystem services in China.

Establishing nature reserves (NRs) is a common method to avoid biodiversity loss and degradation of ecosystem services (ESs). The evaluation of ESs in NRs and the exploration of associated influencing factors are the basis for improving ESs and management. However, the ES effectiveness of NRs over time remains questionable, namely due to the heterogeneity of landscape characteristics inside and outside of NRs. This study (i) quantifies the role of 75 NRs in China in maintaining ESs (i.e., net primary production (NPP), soil conservation, sandstorm prevention and water yield) from 2000 to 2020, (ii) reveals the trade-offs/synergies, and (iii) identifies the main influencing factors of the ES effectiveness of NRs. The results show that more than 80% of NRs had positive ES effectiveness, which was greater in older NRs. For different ESs, effectiveness over time increases for NPP (E_NPP), soil conservation (E_SC) and sandstorm prevention (E_SP) but declines for water yield (E_WY). There is a clear synergistic relationship between E_NPP and E_SC. Moreover, the effectiveness of ESs is closely correlated with elevation, precipitation, and perimeter area ratio. Our findings can provide important information to support site selection and management of reserves to improve the delivery of critical ecosystem services.

Plant functional traits explain long-term differences in ecosystem services between artificial forests and natural grasslands.

Declining ecosystem services have prompted numerous studies aiming at developing more sustainable management practices for vegetation restoration. Advances in functional ecology indicate that the sustainable management of afforestation ecosystems should be performed based on plant functional traits, which provides pivotal knowledge for long-term sustainable vegetation restoration. Currently, the mechanism of how plant functional traits affect long term ecosystem services in restored areas is still unclear. This study investigates plant functional traits and the associated ecosystem services from artificial forestlands (Robinia pseudoacacia, Caragana korshinskii) and natural grasslands following different durations of vegetation restoration (10, 20, 30 and 40 years) in the Danangou watershed, a loess hilly-gully region in the Loess Plateau, China. The results showed that 1) the water conservation services of artificial forestlands first decreased and then increased over time, whereas the soil conservation service had an opposite trend; in turn, natural grassland led to a consistent increase in soil conservation and carbon sequestration services over time. 2) Artificial forestlands had greater soil conservation and carbon sequestration services than natural grassland but had lower water conservation services. 3) Leaves had a greater impact on carbon sequestration and water conservation services than did root length and root biomass density. 4) Root biomass density had a greater effect on soil conservation services than did leaf carbon content and soil organic matter. 5) Leaf carbon content, specific root length, and root biomass density had significant effects on the trade-off value between any two ecosystem services with increasing time after restoration of artificial forestland. 6) Specific leaf area had a greater effect on the trade-off values among the three services than did the other functional traits in the natural grassland. In arid ecosystems, natural grasslands are the best restoration strategy given their higher water conservation services. However, in soil erosion-affected areas, restoration through artificial forestlands is more appropriate. To mitigate the trade-offs between ecosystem services, it is recommended that artificial forestlands be thinned before the leaf carbon content, specific root length, and root biomass density reach a maximum (i.e., mature forestland).

Designer Cathode Additive for Stable Interphases on High-Energy Anodes.

Rechargeable lithium-based batteries built with high-energy anode materials (e.g., silicon-based and silicon-derivative materials) are considered a feasible solution to satisfy the stringent requirements imposed by emerging markets, including electric vehicles and grid storage, due to their higher energy density compared to contemporary lithium-ion batteries. The robustness of the solid electrolyte interphase (SEI) layer on high-energy anodes is critical to achieve long-term and stable cycling performances of the batteries. Herein, we propose a new type of designer cathode additive (DCA), i.e., an ultrathin coating layer of elemental sulfur on the cathode, for the in situ formation of a thin and robust SEI layer on various types of high-energy anodes. The DCA elemental sulfur undergoes simultaneous oxidation and reduction paths, forming lithium alkyl sulfate (R-OSO2OLi) and poly(ethylene oxide) (PEO)-like polymers on the anode surface. The as-formed R-OSO2OLi/PEO-modified SEI layer has good lithium cation (Li+) permeability to facilitate fast ion transportation across the interphases and superior elasticity to adapt to large volume changes, which is particularly effective for improving the cycling efficiency of high-energy anodes (e.g., ca. 14-35% increase in capacity retention for the silicon-carbon composite (SiC) or silicon-tin alloy (Si-Sn)||LiFePO4 cells). The present work opens a new avenue toward the practical deployment of high-energy rechargeable lithium-based batteries.

Meteorological factors' effects on COVID-19 show seasonality and spatiality in Brazil.

The meteorological conditions may affect COVID-19 transmission. However, the roles of seasonality and macro-climate are still contentious due to the limited time series for early-stage studies. We studied meteorological factors' effects on COVID-19 transmission in Brazil from February 25 to November 15, 2020. We aimed to explore whether this impact showed seasonal characteristics and spatial variations related to the macro-climate. We applied two-way fixed-effect models to identify the effects of meteorological factors on COVID-19 transmission and used spatial analysis to explore their spatial-temporal characteristics with a relatively long-time span. The results showed that cold, dry and windless conditions aggravated COVID-19 transmission. The daily average temperature, humidity, and wind speed negatively affected the daily new cases. Humidity and temperature played a dominant role in this process. For the time series, the influences of meteorological conditions on COVID-19 had a periodic fluctuation of 3-4 months (in line with the seasons in Brazil). The turning points of this fluctuation occurred at the turn of seasons. Spatially, the negative effects of temperature and humidity on COVID-19 transmission clustered in the northeastern and central parts of Brazil. This is consistent with the range of arid climate types. Overall, the seasonality and similar climate types should be considered to estimate the spatial-temporal COVID-19 patterns. Winter is a critical time to be alert for COVID-19, especially in the northern part of Brazil.

Global COVID-19 pandemic trends and their relationship with meteorological variables, air pollutants and socioeconomic aspects.

Meteorological variables, air pollutants, and socioeconomic factors are associated with COVID-19 transmission. However, it is unclear what impact their interactions have on COVID-19 transmission, whether their impact on COVID-19 transmission is linear or non-linear, and where the inflexion points are. This study examined 1) the spatial and temporal trends in COVID-19 monthly infection rate of new confirmed cases per 100,000 people (Rn) in 188 countries/regions worldwide from March to November 2020; 2) the linear correlation between meteorological variables (temperature (T), rainfall (R), wind speed (WS), relative humidity (RH), air pressure (AP)), air pollutants (nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), ozone (O3)) and socioeconomic aspects (population density (PD), gross domestic product per capita (GDP), domestic general government health expenditure per capita (GHE)) and Rn, and 3) the interaction and non-linear effects of the different variables on Rn, based on GeoDetector and Boosted regression tree. The results showed that the global Rn had was spatially clustered, and the average Rn increased From March to November 2020. Global Rn was negatively correlated with meteorological variables (T, R, WS, AP) and positively correlated with air pollutants (NO2, SO2, O3) and socioeconomic aspects (GDP, GHE). The interaction of SO2 and O3, SO2 and RH, and O3 and T strongly affected Rn. The variables effect on COVID-19 transmission was non-linear, with one or more inflexion points. The findings of this work can provide a basis for developing a global response to COVID-19 for global sustainable development.

Reducing plant community variability and improving resilience for sustainable restoration of temperate grassland.

Grassland ecosystem is important for the realization of the global sustainable development goals (e.g. Goal 15) since it provides irreplaceable services for human beings, supporting human health and sustainable development. Most studies have focused on improving grassland restoration techniques, but less attention has been paid to grassland ecosystem stability in succession. Plant community stability of temperate grassland in arid and semi-arid regions is analyzed through 38 sampling sites in Inner Mongolia, China. The degradation succession sequence of grassland is established by principal component analysis, and the species diversity and functional diversity along degradation gradient analyzed by multivariate statistical analysis. The results show that (1) functional diversity has higher explanatory power for community stability than species diversity due to the functional dispersion of plant traits; (2) climate factors rather than grazing or soil control plant community diversity and stability at regional scale; (3) the resistance of plant community does not change in degradation succession, but the trade-off effect of stability components in different plant communities differ, such as the order of trade-off effects (e.g. community resilience (ET)＞community resistance (RT)＞structural variability (St)＞functional variability (Fu) in the community dominated by Stipa grandis, RT＞ET＞St＞Fu in Leymus chinensis community, St＞ET＞Fu＞RT in Stipa capillata community, RT＞St＞Fu＞ET in Artemisia frigida community, St＞Fu＞ET＞RT in Cleistogenes squarrosa community, and Fu＞St＞RT＞ET in Artemisia halodendron community); (4) grassland ecosystem with higher diversity shows greater resilience and lower variability than those with single species, which supports the established diversity hypothesis. Furthermore, sustainable grassland restoration should reduce community variability and improve resilience. These findings highlight the response of diversity to stability in temperate grassland and provide scientific support for grassland ecosystem protection and restoration.

Mapping and assessing coastal recreation cultural ecosystem services supply, flow, and demand in Lithuania.

Coastal recreation as a cultural ecosystem service (CES) is key to human wellbeing. However, anthropogenic impacts at the coast affect CES supply. Mapping and assessing CES can help achieve better coastal planning and management of the coast. Quantitative approaches for assessing and mapping CES are lacking, especially in coastal areas. We develop three quantitative models to assess and map coastal recreation CES supply, flow, and demand. We applied the developed models in the coastal region of Lithuania. The coastal recreation CES supply model comprises natural (e.g., naturalness) and cultural (e.g., points of interest) components. The input variables were (1) analysed for multicollinearity, (2) normalised and (3) overlayed using ArcGIS 10.8. An online survey was undertaken to assess and map CES flow and demand based on locations chosen by respondents where they perform recreation at the coast and the number of activities performed when visiting the coast. The coastal recreation CES supply model results showed that natural recreation is close to the coastline, forest areas, waterlines, and protected areas, while cultural recreation is highest in coastal urban areas. The supply model was validated (r2 = 0.11) based on the respondents' chosen coastal locations for recreation. The low validation allowed us to identify the mismatch between model results and respondents' preferences occurring in Klaipeda urban area. When removing respondents' points in Klaipeda urban area, the model validation increased (r2 = 0.36). CES flow results highlighted Palanga, Sventoji, and Nida as the prime coastal recreation locations. The results of CES demand show that respondents living in municipalities near the coastline (Baltic Sea and Curonian Lagoon) perform fewer activities when visiting the coast. For other municipalities, a demand pattern was not observed. Our results yielded important spatial information that can be useful for planners and decision-makers in the context of coastal management.

Scenarios and sustainability of the economy-nitrogen-resource-environment system using a system dynamic model on the Qinghai-Tibet Plateau.

Nitrogen (N) plays a vital role in the development of crop production and animal husbandry in agricultural and pastoral areas. However, the irrational utilization of N resources and subsequent environmental issues with rapid economic development has attracted wide public attention. Coordinating the economy-N-resource-environment (ENRE) system is of great importance for regional sustainable development. In this study, the dynamics of the ENRE system of a typical agricultural and pastoral area on the Qinghai-Tibet Plateau (QTP) were simulated using the VENSIM software from 1998 to 2018. Four typical scenarios (current development scenario, economic development scenario, environment protection scenario and resource optimization scenario) are established to assess the sustainability level and the coupling coordination degrees (CCDs) of the three subsystems, i.e., the economy, N-resource and environment subsystems from 2019 to 2030. Our study indicates that the N flow-based system dynamics (SD) model connects the different subsystems of the ENRE system together well and allows different scenario simulations. From 2019 to 2030, the ENRE system is at a weak sustainability level during the simulation period, and the three subsystems are at slightly unbalanced stages of development in terms of CCD level. The sustainability and CCD levels of the four examined scenarios are as follows: resource optimization scenario > economic development scenario > environment protection scenario >current development scenario, with average values of 0.45, 0.37; 0.42, 0.36; 0.41, 0.35; and 0.39, 0.34, respectively. Under the resource optimization scenario, reducing N inputs to food production and consumption and reducing the planting area of cash crops can effectively improve the N use efficiency of the food chain in the N-resource subsystem (15.34% from 2019 to 2030 on average). Our results provide a reference for promoting sustainable development and formulating policies in agricultural and pastoral regions.

Objective indicators contribute more than subjective beliefs to resident willingness to pay for ecosystem services on the Tibetan Plateau.

Effective ecosystem management on the Tibetan Plateau will contribute to regional environmental sustainability, and these efforts need broad public support, especially that of residents, over the long run. Although residents' subjective perceptions often directly influence practices, the interactive effects of subjective and objective indicators at the individual level often interfere with resident participation in ecosystem management. With the objective of decoupling the effects of multiple variables on resident participation in environmental sustainability, we launched a questionnaire survey on the topic of willingness to pay (WTP) on the Tibetan Plateau, and explored the effects of single variables and pairwise variables on WTP via dummy regression and proposed specific management suggestions. The results showed that objective indicators were the key drivers of WTP. First, it not only had strong direct effects on WTP (2770.32 CNY/year) but also interacted with subjective beliefs (3805.92 CNY/year); second, it had indirect effects on participation attitudes (R = 0.79) through subjective beliefs (R = 0.38). Put differently, the challenge of achieving sustainable management in the TP is how to enhance and satisfy the sociodemographic and socio-economic attributes of indigenous residents.

Landscape pattern change simulations in Tibet based on the combination of the SSP-RCP scenarios.

Monitoring landscape pattern change can provide spatial explicit basis for future landscape management. The future socioeconomic and climate change drivers should be systematically combined in landscape pattern monitoring, while they are often regarded as independent parameters in landscape monitoring models. This study sought to project the detailed landscape pattern change based on landscape composition and configuration in Tibet by 2030, and combined the shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs). The results showed area of the unused land and forest will reduce by a minimum standard of 11.42 × 104 and 9.04 × 104 km2 from 2010 to 2030, respectively. Other land use types will increase, and the highest increase in grassland will be 9.30 × 105 km2. Combined SSP1 and RCP2.6 scenario show high landscape aggregation and low edge density on cultivated land, urban land and grassland in Tibet as a whole. However, in typical cultivated and urban landscape, the abovementioned rule is appeared in the combined SSP4 and RCP6.0 scenario. These findings stress the importance of systematically modeling the socioeconomic demand and climate change in landscape pattern monitoring, and using both landscape composition and configuration indexes for scenario evaluation.

Impacts of land use and land cover change on the interactions among multiple soil-dependent ecosystem services (case study: Jiroft plain, Iran).

The spatial and temporal distribution pattern is an outstanding feature of the relationship among ecosystem services (ESs) that explains links between human activities and disturbed chemical composition of ecosystems. This study investigated the spatiotemporal variation of land use/cover changes (LUCC) and quantifies the change in four essential ecosystem services with an emphasis on soil (nutrient delivery ratio, carbon storage, crop production, and water yield) and their relationships in the Jiroft plain, Iran, during 1996-2016 through analytical tools including Land Change Modeler, and the Integrated Valuation of Ecosystem Services and Tradeoff. During the 20-year concentrate period, there was a considerable overall gain in cropland (5396 km2) and urban (1787 km2), loss of unused land (5692 km2), water (2088 km2), and forest (1083 km2). As a result of LUCC, while crop production and nutrient delivery ratio showed a rising trend, overall carbon storage and water yield decreased. The spatiotemporal trade-off between carbon storage and crop production, the temporal trade-off between crop production and water yield, and synergy between water yield and crop production were widespread in Jiroft plain. These results showed that the interaction among ESs mutates over time and can be changed under planning and policies. This study will enrich the research of the geographical distribution of ESs interaction in dryland ecosystems to provide practical ecosystem management under local conditions.

Ecological water conveyance drives human-water system evolution in the Heihe watershed, China.

Watersheds are coupled with human-water systems where human, and water resources interact and coevolve with each other. Restoration management not only affects the ecosystem itself but also alters the mutual feedback relationship between humans and water, resulting in additional effects and impeding the ecological restoration process. Taking the lower reaches of the Heihe River as an example (Inner Mongolia, PR China), this study investigated the evolution of the human-water system after the implementation of ecological water conveyance using multiple data sources (e.g., remote sensing data, hydrological data, field data and socioeconomic data). We found that (1) after the implementation of ecological water conveyance, vegetation recovered in the last 15 years with an NDVI increasing from 0.10 to 0.13 across the region except some degraded areas near the river; (2) besides restoring the target ecosystem, ecological water conveyance also promoted socioeconomic development and affected the water resources utilization; (3) after 15 years' water conveyance, the coupled human-water system changed from the early ecological water deficit to the present ecological-socioeconomic water-use trade-off with negative impact resulted from agriculture expansion and water usage conflict between the middle and the lower reaches. These effects impeded the restoration of the ecological environment and aggravated the conflicts of water resources utilization within the whole Heihe watershed, consistent with of the hypothesized disturbance effect transmutation. Our results highlighted that analysis on the mutual feedback effect in the coupled human-water system, and dynamic adjustments for restoration measures are needed for sustainable watershed management.

[Effects of shRNA on Cisplatin-resistant Non-small Cell Lung Cancer Cell A549 via Silencing CCAT2].

OBJECTIVE: To investigate the effects of short hairpin RNA (shRNA) on the proliferation, invasion, apoptosis and tumor formation of non-small cell lung cancer cisplatin-resistant cell line (A549/DDP) via silencing of colon cancer associated transcript 2 ( CCAT2). METHODS: TA549/DDP cells were transfected with shRNA- CCAT2 (sh- CCAT2) or shRNA-negative control (shRNA-NC), and untransfected A549/DDP cells were used as the control group. CCAT2 mRNA expression in three groups of A549/DDP cells was detected by quantitative real-time PCR (qRT-PCR). The proliferation of three groups of A549/DDP cells treated with different mass concentrations of DDP (0-8 mg/L) was detected by MTT. According to the proliferation experiment results, 2 mg/L was selected as DDP concentration for subsequent experiments. The effects of 2 mg/L DDP treatment on the proliferation, apoptosis, and invasion ability of each group of cells (with untreated A549/DDP cells as the control group) were tested by clone formation experiments, flow cytometry analysis and Transwell experiments. The expression levels of cell proliferation marker proteins (Ki67, PCNA), apoptosis marker proteins (Caspase-3, Caspase-9) and invasion marker proteins (VEGF, MMP-14) were detected by Western blot. Nude mice were injected subcutaneously with A549/DDP cells, A549/DDP cells transfected with shRNA-NC or A549/DDP cells transfected with sh- CCAT2. DDP was intraperitoneally injected at the concentration of 2 mg per kilogram of mice body weight totally for 7 times with an interval of 3 d. A control group was injected subcutaneously with A549/DDP cells, and an equal volume of normal saline instead of DDP was injected intraperitoneally. The tumor volume was detected every 5 d for a total of 30 d. Mice were sacrificed and tumor tissues were taken out 30 d later. CCAT2 mRNA expression level in tumor tissues was detected by RT-PCR, and tumor cell apoptosis was detected by TUNEL staining. RESULTS: Compared with the control group and the shRNA-NC transfection group, the expression level of CCAT2 mRNA was decreased in sh- CCAT2 transfected A549/DDP cells ( P<0.01). The decrease degree of cell proliferation was more pronounced after treating with 2 to 8 mg/L of DDP ( P<0.01). Compared with the control group, in the three groups that treated with DDP, the formation of clones and the expression of proliferation marker proteins Ki67 and PCNA were reduce ( P<0.01), while the rate of apoptosis and the expression of apoptosis marker proteins Caspase-3 and Caspase-9 were increased ( P<0.01). Also, the number of invasion cell and the expression of invasion marker proteins VEGF and MMP-14 were reduced in the three groups that treated with DDP ( P<0.01). Among the three groups of DDP-treated cells, the changes in sh- CCAT2 transfected cells was the most obvious ( P<0.01). Compared with the control group, the tumor volume of the three DDP treatment groups was smaller and the differences were statistically significant at 30 d ( P<0.01). The expression of CCAT2 mRNA was decreased in tumor tissues ( P<0.01), while apoptosis increased ( P<0.01). Among the three DDP treatment groups, the A549/DDP cell group transfected with sh- CCAT2 showed the most notable changes ( P<0.01). CONCLUSION: sh- CCAT2 can inhibit the proliferation of A549/DDP cells, induce apoptosis and reduce the cell invasion ability, thereby inhibiting the growth of A549/DDP cells.

Landscape functional zoning at a county level based on ecosystem services bundle: Methods comparison and management indication.

The perspective of ecosystem services bundle is virtually a spatial clustering on landscape to mapping the relationship between ecosystem services and support the spatial strategy of landscape management. However, the efficiency of various clustering algorithms for geographically different regions are still in obscurity. In this study, we provided landscape functional zoning as a planning tool based on the ecosystem services bundles formed by carbon sequestration, soil retention and water yield. Then we used four landscape pattern indices to evaluate the performance of six clustering algorithms on landscape functional zoning. The case counties include Lankao, Jinggangshan and Luquan in China. The results showed the Natural Breaks (Jenks) scheme should be the most reasonable zone because of its high aggregated distribution and low diversity. This scheme was adjusted using some other schemes and has been employed as the final 7 kinds of zoning types. There were 5 types appeared in Lankao and Jinggangshan, and 6 types appeared in Luquan. We discussed that landscape functional zone can be a nexus connecting landscape planning and social policy. Rural reconstructing process on landscape was depicted, and landscape functional zone was proposed a practical planning tool bridged human wellbeing. The task of landscape functional zoning with the management indications may provide interdisciplinary support to decision-makers and natural resource users on landscape management.