Glabridin reduces neuroinflammation by modulating inflammatory signals in LPS-induced in vitro and in vivo models.

OBJECTIVES: Chronic neuroinflammation has become one of the important causes of common neurodegeneration disease. Therefore, the target of this study was to explore the protective action of glabridin on lipopolysaccharide (LPS)-induced neuroinflammation in vivo and in vitro and its mechanism. METHODS: The neuroinflammation model was established by LPS-induced BV2 cells. The cell viability with various concentrations of glabridin was determined by MTT assay, and the content of NO in each group was detected. A neuroinflammatory model was established in male C57BL/6J mice for a water maze test. Subsequently, NF-κB and SOD indices were measured by ELISA, GFAP and IBA-1 indices were measured by immunofluorescence, and Nissl staining was used to explore the Nissl bodies in the hippocampus of mice. RESULTS: In vitro experiments, our results expressed that glabridin could markedly increase the cell activity of LPS-induced BV2 cells and reduce the NO expression in cells. It indicated that glabridin had a remarkable impact on the neuroinflammation of LPS-induced BV2 cell protection. In vivo neuroinflammation experiments, mice treated with different doses of glabridin showed significantly improved ability of memory compared with the LPS group in the Morris water maze test. The levels of NF-κB, GFAP, and the number of positive cells in Nissl staining were decreased. High-dose glabridin significantly increased the SOD content in the brain tissue and decreased the IBA-1 levels. CONCLUSION: Glabridin can significantly reduce or even reverse LPS-induced neuroinflammation, which may be related to the fact that glabridin can reduce the NO expression, NF-κB, IBA-1, GFAP, and other inflammatory mediators, upregulate the expression of SOD to relieve oxidative stress of brain and inhibit the activation of gliocyte in brain tissue.

Aromatic-turmerone ameliorates DSS-induced ulcerative colitis via modulating gut microbiota in mice.

Curcuma longa L. is one of the traditional Chinese herbs in the list of medicinal and food homology. Aromatic-turmerone is the main ingredient in turmeric essential oil. The aim of the present study is to investigate the treatment of Aromatic-turmerone on DSS-included colitis and its regulatory effect on intestinal flora disorder. Male KM mice supplemented with different concentration of aromatic-turmerone and mesalazine are subjected to 2% DSS in drinking water to induce colitis. Colon and cecum contents were collected for colitis lesion evaluation and inflammation-related gene analysis and colon contents for gut microbiota. The results show that treatments with Aromatic-turmerone significantly prevents colon shortening, alleviates the damage of colonic tissue, and reduces colonic inflammatory cytokines TNF-α and COX-2. Furthermore, the 16S rDNA gene sequence data indicate that Aromatic-turmerone improve the abundance of bacterial species, maintain some beneficial bacteria, and reduce harmful bacteria. Aromatic-turmerone downregulates the colonic inflammatory cytokines and modulates the abundance of intestinal flora, which is conductive to ameliorates DSS-induced colitis. Regularly intake of the edible herb may be help to prevent ulcerative colitis-related diseases.

Geographical distribution and potential distribution prediction of thirteen species of Citrus L. in China.

Using DIVA-GIS software to study the spatial accumulation of Citrus species, an important economic crop in China. Draw the distribution maps of Citrus to concerning altitude and vegetation, and use DIVA-GIS' Bioclim ecological model and maximum information entropy model Maxent software to estimate the potential distribution areas of various Citrus species. The results show that the Citrus genus is located in the south of Qinling Mountains, mainly in the southwest of China and the coast of southeastern China. Sichuan and Chongqing are the most densely distributed regions of Citrus. The distribution of Citrus is closely related to the vegetation type and altitude. The vegetation types in the distribution area is evergreen broad-leaved forest, evergreen shrub, deciduous broad-leaved forest, mixed-leaf forest coverage area, deciduous coniferous forest, farmland, trees, other vegetation coverage, and evergreen coniferous forest. The current potential distribution area of Citrus is mainly in Guizhou, Hubei, Hunan, Guangdong, Guangxi, Yunnan, Sichuan, Chongqing, and other provinces and municipalities and their borders, while the potential distribution area in the future moves northward and enter Henan and southern Gansu. At the same time, climate warming changes the distribution of suitable areas of Citrus, which makes the suitable areas of C. sinensis Osbeck, C. reticulata Blanco, and other crops greatly increased. Planning the planting area will effectively improve the yield and quality in the future. Planning presents new challenges.

Geographical distribution and predict potential distribution of Cerasus serrulata.

Climate change is closely related to the distribution of plant resources. Cerasus serrulata is an important plant resource in China. The study on the influence of environmental factors on the distribution of suitable areas of C. serrulata is conducive to the protection and development of C. serrulata. In this paper, the distribution information of 238 Chinese Cerasus serrulata plants was processed by DIVA-GIS. The MaxEnt model was used to simulate the current and future distribution, and the ecological distribution and richness of Cerasus were analyzed. The results showed that the Cerasus serrulata was widely distributed in Hebei, Heilongjiang, Shandong, Jiangsu, Zhejiang, Anhui, Jiangxi, Hunan, and Guizhou provinces, mainly in the low and middle elevation areas of 10 to 1200 m. Based on this model, the precipitation of the warmest quarter, the precipitation of the driest month, and the mean temperature of the coldest were the most significant bioclimatic variables affecting the distribution of C. serrulata. In the future, climate change may lead to a slight increase of 2.31% in the area of suitable habitat for Cerasus serrulata, while the optimal habitat will decrease from 20.81 to 14.55%. Therefore, conservation measures should be taken to protect these precious resources.

Geographical distribution and predict potential distribution of Angelica L. genus.

Climate change is very important for the distribution of plant resources, especially for crops. Angelica plants have a long history of use and significant crop resources in China, whose rhizomes are extensively used in medicine and food. In this paper, 1599 georeferenced herbarium records were analyzed using DIVA-GIS, and the ecological distribution and richness of the current and future distribution simulation were analyzed using the MaxEnt model. The results show that they are from 32 provinces in China. Among these provinces, Sichuan, Gansu, and Yunnan have the largest number of herbariums. According to the MaxEnt model simulation, it is found that the precipitation in the warmest season, annual precipitation, and the driest monthly precipitation are the foremost bioclimatic variables that control the distribution of eight selected Angelica plants (A. biserrata, A. gigas, A. laxifoliata, A. likiangensis, A. longicaudata, A. omeiensis, A. polymorpha, and A. valida). It can be seen from the potential distribution map that the suitable growth areas of A. polymorpha and A. valida have increased, while the suitable growth areas of the six species of Angelica have decreased in varying degrees, 18.24%, 20.01%, 9.91%, 53.16%, 10.06%, and 12.64% respectively. Therefore, it is necessary to protect the Angelica plants.

Geographic distribution and impacts of climate change on the suitable habitats of Glycyrrhiza species in China.

Climate change has a major impact on the growth and distribution of plants. Glycyrrhiza is widely used in the treatment of many diseases in China. However, with the overexploitation and the growing demand for medicinal uses in of Glycyrrhiza plants. The investigation of the geographical distribution of Glycyrrhiza plants and the analysis of future climate change are of great significance for the conservation of Glycyrrhiza. In this study, combined with administrative maps of Chinese provinces, the present and future of geographical distribution and richness of six Glycyrrhiza plants in China were studied by using DIVA-GIS and MaxEnt software. A total of 981 herbarium records of these six species of Glycyrrhiza were collected to research. Results show that the change of climate in the future will lead to an increase in habitat suitability for some Glycyrrhiza species as follows: Glycyrrhiza inflata by 61.6%, Glycyrrhiza squamulosa by 47.5%, Glycyrrhiza pallidiflora by 34.0%, Glycyrrhiza yunnanensis by 49.0%, Glycyrrhiza glabra by 51.7%, and Glycyrrhiza aspera by 65.9%. Glycyrrhiza plants have considerable medicinal and economic value, so it is necessary to adopt targeted development and rational management strategies for it.

Effects of climate change on the geographical distribution and potential distribution areas of 35 Millettia Species in China.

Climate change has an extremely important impact on the geographic distribution of plants. The genus Millettia is an important plant resource in China and is widely used in medicine and ornamental industries. Due to the continuous changes of climate and the development and utilization of plant resources of the genus Millettia, it is of great significance to systematically investigate the geographic distribution of plants of the Millettia and their potential distribution under climate change. DIVA-GIS software was used to analyze 3492 plant specimens of 35 species of genus Millettia in the herbarium, and the ecological geographic distribution and richness of Millettia were analyzed, and the MaxEnt model was used to analyze the current and potential distribution in the future. The results show that the genus Millettia is distributed in 30 provinces in China, among which Yunnan and Guangdong provinces are the most distributed. Our model determines that precipitation in the driest month and annual temperature range are the most important bioclimatic variables. Future climate changes will increase the suitable habitat area of M. congestiflora by 16.75%, but other cliff beans Suitable habitats for vines will decrease significantly: M. cinereal by 47.66%, M. oosperma by 39.16%, M. pulchra by 36.04%, M. oraria by - 29.32%, M. nitida by 22.88%, M. dielsiana by 22.72%, M. sericosema by 19.53%, M. championii by 7.77%, M. pachycarpa by 7.72%, M. speciose by 2.05%, M. reticulata by 1.32%. Therefore, targeted measures should be taken to protect and develop these precious plant resources.