Little is known about the inter-relationship among fruit and vegetable intake, gut microbiota and metabolites, and type 2 diabetes (T2D) in human prospective cohort study. The aim of the present ...study was to investigate the prospective association of fruit and vegetable intake with human gut microbiota and to examine the relationship between fruit and vegetable-related gut microbiota and their related metabolites with type 2 diabetes (T2D) risk.
This study included 1879 middle-age elderly Chinese adults from Guangzhou Nutrition and Health Study (GNHS). Baseline dietary information was collected using a validated food frequency questionnaire (2008-2013). Fecal samples were collected at follow-up (2015-2019) and analyzed for 16S rRNA sequencing and targeted fecal metabolomics. Blood samples were collected and analyzed for glucose, insulin, and glycated hemoglobin. We used multivariable linear regression and logistic regression models to investigate the prospective associations of fruit and vegetable intake with gut microbiota and the association of the identified gut microbiota (fruit/vegetable-microbiota index) and their related fecal metabolites with T2D risk, respectively. Replications were performed in an independent cohort involving 6626 participants.
In the GNHS, dietary fruit intake, but not vegetable, was prospectively associated with gut microbiota diversity and composition. The fruit-microbiota index (FMI, created from 31 identified microbial features) was positively associated with fruit intake (p < 0.001) and inversely associated with T2D risk (odds ratio (OR) 0.83, 95%CI 0.71-0.97). The FMI-fruit association (p = 0.003) and the FMI-T2D association (OR 0.90, 95%CI 0.84-0.97) were both successfully replicated in the independent cohort. The FMI-positive associated metabolite sebacic acid was inversely associated with T2D risk (OR 0.67, 95%CI 0.51-0.86). The FMI-negative associated metabolites cholic acid (OR 1.35, 95%CI 1.13-1.62), 3-dehydrocholic acid (OR 1.30, 95%CI 1.09-1.54), oleylcarnitine (OR 1.77, 95%CI 1.45-2.20), linoleylcarnitine (OR 1.66, 95%CI 1.37-2.05), palmitoylcarnitine (OR 1.62, 95%CI 1.33-2.02), and 2-hydroglutaric acid (OR 1.47, 95%CI 1.25-1.72) were positively associated with T2D risk.
Higher fruit intake-associated gut microbiota and metabolic alteration were associated with a lower risk of T2D, supporting the public dietary recommendation of adopting high fruit intake for the T2D prevention.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
The complex correlation between regions caused by the externality of air pollution increases the difficulty of its governance. Therefore, analysis of the spatio-temporal network of air pollution ...(STN-AP) holds great significance for the cross-regional coordinated governance of air pollution. Although the spatio-temporal distribution of air pollution has been analyzed, the structural characteristics of the STN-AP still need to be clarified. The STN-AP in the Yangtze River Delta urban agglomeration (YRDUA) is constructed based on the improved gravity model and is visualized by UCINET with data from 2012 to 2019. Then, its overall-individual-clustering characteristics are analyzed through social network analysis (SNA) method. The results show that the STN-AP in the YRDUA was overall stable, and the correlation level gradually improved. The centrality of every individual city is different in the STN-AP, which reveals the different state of their interactive mechanism. The STN-AP could be subdivided into the receptive block, overflow block, bidirectional block and intermediary block. Shanghai, Suzhou, Hangzhou and Wuxi could be key cities with an all above degree centrality, betweenness centrality and closeness centrality and located in the overflow block of the STN-AP. This showed that these cities had a greater impact on the STN-AP and caused a more pronounced air pollution spillovers. The influencing factors of the spatial correlation of air pollution are further determined through the quadratic assignment procedure (QAP) method. Among all factors, geographical proximity has the strongest impact and deserves to be paid attention in order to prevent the cross-regional overflow of air pollution. Furthermore, several suggestions are proposed to promote coordinated governance of air pollution in the YRDUA.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Oxaliplatin resistance limits the efficiency of treatment for colorectal cancer (CRC). Studies have shown that abnormal expression of microRNAs (miRNAs) were associated with tumorigenesis, cancer ...development and chemoresistance. The purpose of this study was to identify potential miRNAs related to oxaliplatin resistance in CRC cells. In this work, using small RNA sequencing (small RNA-Seq) and transcriptome sequencing (RNA-Seq), we found that down-regulated miR-483-3p was concurrent with up-regulated FAM171B in oxaliplatin-resistant colorectal cancer cell line HCT116/L as compared with its parental cell line HCT116. Transient transfection of miR-483-3p mimics markedly decreased the levels of FAM171B and restored oxaliplatin responsiveness of HCT116/L cells, and this alteration enhanced cell apoptosis and weakened cell migration. Whereas miR-483-3p inhibitor dramatically promoted the expression of FAM171B and enhanced oxaliplatin resistance of HCT116 cells by repressing cell apoptosis. Furthermore, knockdown of FAM171B in HCT116/L cells could also sensitize its reaction of the treatment with oxaliplatin, which was verified by the reduced cell migration. These findings demonstrate that FAM171B is a functional target of miR-483-3p in the regulation of oxaliplatin resistance in human CRC cells.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
This study aims to explore the impact of supply chain dynamic capabilities on the construction of sustainable competitive advantage. This paper takes Chinese private manufacturing enterprises as the ...research object, and we also use statistical methods such as correlation analysis and hierarchical regression for empirical testing. Research shows that supply chain sensing has a positive impact on supply chain agility and supply chain adaptability; supply chain agility and supply chain adaptability have a positive impact on the sustainable competitive advantage of enterprises; environmental dynamics does not have a significant regulating effect on the relationship between supply chain sensing and supply chain adaptability. This research guides Chinese private manufacturing companies to focus on cultivating supply chain dynamic capabilities to reasonably respond to changes in the market environment, thereby promoting sustainable competitive advantages.
The shortage of water resources has become a notable bottleneck, restricting the economic development of many countries and areas around the word, especially that of North-west China. The Inner ...Mongolia Autonomous Region and Shaanxi Province are important energy bases and food production areas in North-west China. However, the region is suffering from perennial drought and water shortage, which has become the most significant shortcoming for energy and food production. Guiding the decoupling between regional economic development and water consumption is a critical way to achieve sustainable development. Based on the analysis of the food and energy production value and their water consumption in North-west China from 2009 to 2019, this paper uses the Tapio model to analyze the decoupling relationship between food, energy production, and water consumption, and uses the Logarithmic Mean Divisional Index (LMDI) model to analyze the driving factors affecting decoupling. The results show that most water consumption for food and energy production in North-west China is out of the ideal strong decoupling, the decoupling status is unstable, and re-coupling occurs frequently. The increase in water intensity and the change in industrial structure are the promoting factors of decoupling between production value and water consumption in food and energy in North-west China, while the increase in production value and population size are the main restraining factors. Therefore, in pursuit of strong decoupling, the government should guide the food and energy industry to move toward implementing in water saving measures through policies and promote the enthusiasm and efficiency of the labor force through financial support and other ways. Moreover, ecological protective measures are needed to be strengthened, such as water source protection, and sewage treatment.
Rh(PPh3)3Cl–polyethyleneglycol (PEG) functionalized ionic liquids with various anions were used as a catalytic system for the hydrosilylation reaction of alkenes. The influence of the anion of the ...ionic liquid has been investigated. It was found that the anion has an impact on the catalytic activity and selectivity. PEG400DILPF6-Rh(PPh3)3Cl shows an improved catalytic performance towards the hydrosilylation reaction of alkenes. The scope of alkenes and recycling of the catalytic system have been investigated.
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•PEG400DILX had been successfully synthesized and applied in the hydrosilylation.•PEG400DILX-Rh(PPh3)3Cl catalytic system exhibit excellent catalytic performance.•Effect of anion on hydrosilylation had been investigated.•Catalytic system is stably and could be recycled.
The size-uniformed mesoporous Ag@SiO2 nanospheres’ catalysts were prepared in one-pot step via reducing AgNO3 by different types of aldehyde, which could control the size of Ag@SiO2 NPs and exhibit ...excellent catalytic activity for the hydrogenation of nitrobenzene. The results showed that the Ag core size, monitored by different aldehydes with different reducing abilities, together with the ideal monodisperse core-shell mesoporous structure, was quite important to affect its superior catalytic performances. Moreover, the stability of Ag fixed in the core during reaction for 6 h under 2.0 MPa, 140 °C made this type of Ag@SiO2 catalyst separable and environmentally friendly compared with those conventional homogeneous catalysts and metal NPs catalysts. The best catalyst with smaller Ag cores was prepared by strong reducing agents such as CH2O. The conversion of nitrobenzene can reach 99.9%, the selectivity was 100% and the catalyst maintained its activity after several cycles, and thus, it is a useful novel candidate for the production of aniline.
Dendritic cells (DCs) based cancer immunotherapy is largely dependent on adequate antigen delivery and efficient induction of DCs maturation to produce sufficient antigen presentation and ultimately ...lead to substantial activation of tumor‐specific CD8+ T cells. Carbon nanotubes (CNTs) have attracted great attention in biomedicine because of their unique physicochemical properties. In order to effectively deliver tumor antigens to DCs and trigger a strong anti‐tumor immune response, herein, a specific DCs target delivery system was assembled by using multi‐walled carbon nanotubes modified with mannose which can specifically bind to the mannose receptor on DCs membrane. Ovalbumin (OVA) as a model antigen, could be adsorbed on the surface of mannose modified multi‐walled carbon nanotubes (Man‐MWCNTs) with a large drug loading content. This nanotube‐antigen complex showed low cytotoxicity to DCs and was efficiently engulfed by DCs to induce DCs maturation and cytokine release in vitro, indicating that it could be a potent antigen‐adjuvant nanovector of efficient antigen delivery for therapeutic purpose.
Perfectly delivered! Mannose‐modified multi‐walled carbon nanotubes (Man‐MWCNTs) could efficiently deliver a large amount of antigen to bone marrow derived dendritic cells (DCs) through ligand/receptor interactions of mannose, inducing enhanced BMDCs maturation and cytokines secretion.
Due to the COVID-19/Omicron pandemic and the trade war and tariffs between China and America, the supply chain between Asia and America, or Asia and Europe, faced unprecedented challenges. With the ...outbreak of the Russian-Ukrainian war, the global supply chain has become increasingly unbalanced. In particular, the shortage of container ships and the continuous fluctuation of the BDI and CCFI make shipping scheduling increasingly important for ocean carriers. To solve this problem, in this study, we propose an analytic approach considering the fluctuation of BDI and CCFI based on interval evidence reasoning and the Hungarian algorithm. The proposed approach uses two pairs of nonlinear optimisation models to construct a Nash equilibrium assignment model to compute the shipping company’s scheduling and maximum utility in the CCFI and BDI cycles. Compared to the simulation algorithm, the analytical algorithm can take advantage of stability and efficiency. Finally, a COSCO company’s container shipping scheduling problem was examined to demonstrate the efficiency and effectiveness of the proposed approach.
•Barriers of green construction supply chain management (GCSCM) are identified.•A grey possibility DEMATEL-NK model is proposed for path simulation.•The causal interactive mechanisms among barriers ...are revealed.•The optimal path for overcoming barriers of GCSCM are developed.•Weak government’s ecology and green concept should be prioritized.
The successful implementation of green construction supply chain management (GCSCM) is crucial to balance the environmental issues and the operational performance of construction enterprises. However, the current GCSCM is restricted by different barriers. This paper aims to systematically explore the best methods and timing to choose and overcome various barriers in implementing GCSCM, especially identifying at which stage to prioritize corresponding barriers can improve the GCSCM level maximally. A path analysis framework based on grey possibility DEMATEL-NK is proposed, in which the causal relationships and intensities between barriers are mined to develop a heuristic simulating arithmetic. By simulating the search and optimization procedure in the fitness landscape of NK model, the optimum path of overcoming GCSCM barriers is identified. Through the case analysis of the barriers classified in four subdimensions including participation and support, idea and awareness, technological capability, and financial performance, the path results show that the complex interaction mechanism among different barriers inspires the best sequence of overcoming barriers to improve GCSCM level. The weak ecology and green concept, inadequate environmental policy support and incentives, and insufficient legal enforcement for GCSCM to become the key barriers that should be given priority in short term. The optimum path provides the decision support for managers to better improve the GCSCM level from a new view of prioritizing and overcoming barriers.
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