A Combination of Magnoflorine and Spinosin Improves the Antidepressant effects on CUMS Mouse Model.

BACKGROUND: Depression is a common neuropsychiatric disease. As a famous traditional Chinese medicine with significant anti-depressive and sleep-promoting effects, Ziziphi Spinosae Semen (ZSS) has attracted the attention of many researchers. Although it is well known that Magnoflorine (MAG) and Spinosin (SPI) were the main active components isolated from ZSS, there is a lack of research on the combined treatment of depression with these two ingredients. METHODS: The shaking bottle method was used to simulate the human environment for detecting the changes in oil-water partition coefficient before and after the drug combination. Cell viability was evaluated by the MTT assay. To establish a mouse model of depression and insomnia by CUMS method, and then to explore the effect of combined administration of MAG and SPI on depression in CUMS model by observing behavior and analyzing pharmacokinetics. RESULTS: The change in LogP values affected the lipid solubility of MAG and increased the water solubility of SPI, allowing them to penetrate more easily through the blood-brain barrier into the brain. Compared with the model group, MAG-SPI with a concentration of 60 µM significantly increased cell survival rate. In both the TST and FST experiments, the mice showed a decrease in immobilization time. Pharmacokinetic results showed that the pharmacokinetic parameters, Cmax and AUC of MAG and SPI, were increased in the case of combination, which resulted in enhancement of their relative bioavailability and improvement of in vivo effects. CONCLUSIONS: The present study demonstrated that a combination of MAG and SPI had a synergistic antidepressant effect in CUMS mouse model.

Corrigendum to "Point-of-care testing for lysine concentration in swine serum via blue-emissive carbon dots entrapped microfluidic chip" [Animal Nutrition 12 (2023) 236-244].

[This corrects the article DOI: 10.1016/j.aninu.2022.08.017.].

Point-of-care testing for lysine concentration in swine serum via blue-emissive carbon dot-entrapped microfluidic chip.

Lysine is one of the essential amino acids and plays a vital role in the growth, development and health of pigs. Blood lysine concentration is a direct indication of lysine status; however, current methods can not satisfy the demands for rapid and on-site lysine concentration measurement of swine serum. Here, we developed blue-emissive nitrogen-doped carbon dots as a fluorescence probe for the determination of lysine with high fluorescence quantum yield, stability, sensitivity and specificity. The carbon dots were entrapped within hydrogel microstructures to fabricate microfluidic chips for rapid assay for lysine quantification. We further developed an imaging attachment to integrate the microfluidic chip and a smartphone into a portable point-of-care testing platform. This platform requires only 3 µL sample and has a linear detection range of 25 to 300 µmol/L with a limit of detection less than 16 µmol/L, which covers the normal range of lysine concentration in swine serum. We tested lysine concentration in swine serum using this platform with high accuracy, low sample consumption, and within 3 min. Together, these results may provide a rapid and portable platform for dynamic monitoring of swine lysine status and contribute to precise feed formula modulation with low-protein diet strategy.

The Built Environment Assessment of Residential Areas in Wuhan during the Coronavirus Disease (COVID-19) Outbreak.

The COVID-19 epidemic has emerged as one of the biggest challenges, and the world is focused on preventing and controlling COVID-19. Although there is still insufficient understanding of how environmental conditions may impact the COVID-19 pandemic, airborne transmission is regarded as an important environmental factor that influences the spread of COVID-19. The natural ventilation potential (NVP) is critical for airborne infection control in the micro-built environment, where infectious and susceptible people share air spaces. Taking Wuhan as the research area, we evaluated the NVP in residential areas to combat COVID-19 during the outbreak. We determined four fundamental residential area layouts (point layout, parallel layout, center-around layout, and mixed layout) based on the semantic similarity model for point of interest (POI) picking. Our analyses indicated that the center-around and point layout had a higher NVP, while the mixed and parallel layouts had a lower NVP in winter and spring. Further analysis showed that the proportion of the worst NVP has been rising, while the proportion of the poor NVP remains very high in Wuhan. This study suggested the need to efficiently improve the residential area layout in Wuhan for better urban ventilation to combat COVID-19 without losing other benefits.

Very high-resolution remote sensing-based mapping of urban residential districts to help combat COVID-19.

Urban residential districts (URDs) are a major element in the formation of cities that are essential for urban planning. Regarding the COVID-19 virus, which remains variable in aerosols for several hours, airborne transmission tends to occur in areas of poor ventilation and high occupant density. Thus, ventilation capacity is an important factor influencing airborne transmission in URDs, which should be evaluated as part of efforts to fight COVID-19 and guide healthy city planning and implementation. Here, we develop and test systematic methods to map URDs in a typical city in northern China and quantify their ventilation capacity using very high-resolution remote sensing images. Four fundamental spatial forms of URD are identified in the research area: the point-group form, parallel form, enclosed form, and hybrid form. Our analyses indicate that the integrated ventilation capacities for well-designed URDs are nearly twice those of poorly designed URDs. Large variations in ventilation capacity are also observed within URDs, with up to 13.42 times difference between the buildings. Therefore, very high-resolution remote sensing data are fundamental for extracting building height and generating precise spatial forms, which can improve the micro-scale URD ventilation planning for the prevention of COVID-19.

Spatial characteristics and influencing factors of risk perception of haze in China: The case study of publishing online comments about haze news on Sina.

Haze has become an important factor to harm people's health. In the face of the harm of haze, people express risk perception behavior through publishing online comments on haze news. To a certain extent, online comments affect the government's decision to deal with haze. However, most of the previous efforts only focused on several cities from a micro perspective whereas the existing research lacks to explore the regional differences of risk perception behavior of the whole country from a macro perspective. The macro perspective of research can help policymakers to formulate strategies of haze control according to local conditions. Therefore, it is important to understand the risk perception behavior of publishing online comments and haze from the macro perspective. In this study, we use quantitative methods to study the spatial-temporal characteristics of online comments and PM2.5 in 334 cities in China from 2014 to 2018. From the spatial perspective, the spatial characteristics of online comments are quite different from those of PM2.5 at the city level. It can be seen that the spatial mismatch can affect the government's strategy of haze control according to local conditions. From the perspective of influencing factors, we find that the risk perception behavior of publishing online comments conforms to the theory of environmental risk perception. Firstly, the local social development level is the largest driving force accelerating risk perception behavior. Secondly, information channel also has significantly positive effect on public risk perception behavior. Finally, the harmful degree of haze has the least positive effect on people's risk perception behavior. This gives us enlightenment. The number of online comments does not reflect the harmful degree of haze in different regions. We suggest that online comments should not be the main reference factor for policymakers to make strategies.

Separation and purification of magnoflorine, spinosin, and 6‴-feruloyspinosin from Ziziphi Spinosae Semen by high-speed counter-current chromatography.

In the study, high-speed counter-current chromatography was used for separation and purification of magnoflorine, spinosin, and 6‴-feruloyspinosin from Ziziphi Spinosae Semen. With n-butanol-ethyl acetate-water (2:3:5, v/v) as the optimum solvent system, about 75 mg of magnoflorine, 110 mg of spinosin, and 40 mg of 6‴-feruloyspinosin were isolated from 0.5 g of crude extract of Z. Spinosae Semen, with the purity of 95.7, 97.2, and 96.4%, respectively. The chemical structures were identified by MS and NMR spectroscopy. In addition, the antidepressant activity of the isolated components was evaluated by PC12 cells injury model and chronic unpredictable mild stress depression mouse model. The results showed that high-speed counter-current chromatography could be used to realize the one-time rapid preparation and separation of magnoflorine, spinosin, and 6‴-feruloyspinosin from Z. Spinosae Semen and compatibility of these isolated components has certain antidepressant activity.