ObjectiveBidirectional and two-sample Mendelian randomization（MR） method was used to investigate the bidirectional causal relationship between constipation and pneumonia and to understand the potential relationship between the two diseases from a new perspective， providing new targets for future treatment strategies. MethodConstipation and pneumonia datasets were selected from the genome-wide association study（GWAS） website for the European population in 2021. The data related to constipation included 411 623 samples， and the single nucleotide polymorphism（SNP） data were 24 176 599. The pneumonia data contained 480 299 samples with a number of SNPs of 24 174 646. In this study， inverse variance weighting（IVW） was adopted as the main analysis method of MR， supplemented by weighted median method， simple model， weighted model and MR-Egger regression analysis results， and sensitivity analysis was performed to evaluate the robustness of the results. ResultSeventeen SNPs highly correlated with constipation and 12 SNPs highly correlated with pneumonia were finally included. IVW analysis results of forward MR analysis showed that constipation increased the risk of pneumonia｛odds ratio（OR）=1.143， 95% confidence interval（CI）［1.045， 1.249］， P=0.003｝， MR-Egger regression， simple model， weighted model and weighted median analysis all supported the result（P<0.05）. IVW analysis by reverse MR analysis showed that pneumonia did not increase the risk of constipation｛OR=1.138， 95%CI［0.974， 1.329］， P=0.103｝， MR-Egger regression， simple model， weighted model and weighted median analysis also supported this result. ConclusionThe bidirectional and dual-sample MR analysis method is used to confirm the causal relationship between constipation and pneumonia from the perspective of genetic variation， while there is no obvious causal relationship on the contrary. This study will be helpful for the clinical diagnosis and treatment of constipation and pneumonia， and provide a reference for the study of the pathogenesis between the two.

Aim To investigate the effect of Toddalia asiatica(TA)on bone destruction in rheumatoid ar-thritis(RA)and its possible mechanism by network pharmacology and in vitro experiments.Methods The active components and targets of TA against RA bone damage were analyzed by network pharmacology.Mo-lecular docking was performed by using AutoDock and PyMOL software pairs.MC3T3-e1 cells were cultured in vitro,and the effect of Toddalia asiatica alcohol ex-tract(TAAE)on cell viability was detected by CCK-8,and appropriate drug concentration and intervention time were screened.The osteoblast model was induced by osteogenic induction medium,and the osteogenic differentiation was detected by ALP staining,activity detection and alizarin red staining.The expression of pathway-related proteins Wnt3a and β-catenin was de-tected by Western blot,and the pathway inhibitor DKK-1 was used to further verify whether TAAE regulated osteoblast differentiation through the Wnt/β-catenin signaling pathway.Results A total of 158 anti-RA bone destruction targets and 56 core targets were se-lected.The enrichment of KEGG signaling pathway mainly included cancer pathway,phosphatidylinositol 3-kinase/protein kinase B signaling pathway and cAMP signaling pathway.The results of CCK-8 showed that 1 g·L-1 TAAE could significantly improve cell survival rate.The results of ALP staining and ALP activity de-tection showed that TAAE could significantly increase the staining positive rate and ALP activity of cells in-duced by osteogenic induction medium.Western blot showed that TAAE could increase the expression of Wnt3a and β-catenin.The expression of these proteins decreased after DKK-1 inhibitors were used.Conclu-sion TAAE can regulate osteoblast differentiation through Wnt/β-catenin signaling pathway to treat os-teodestruction in rheumatoid arthritis.

A field experiment was conducted to measure the physiological characteristics, yield, active ingredient content, and other indicators of Carthamus tinctorius leaves undergoing 13 sowing date treatments. The principal component analysis(PCA) and redundancy analysis were used to analyze the correlation between these indicators to explore the effect of sowing date on the yield and active ingredient content of C. tinctorius in Liupanshan of Ningxia. The results illustrated that the early sowing in autumn and spring had significant effects on leaf photosynthetic parameters, SPAD value, antioxidant enzyme activity, nitrogen metabolism enzyme activity, filament yield, grain yield, and hydroxy safflower yellow A(HYSA) of C. tinctorius. Sowing in mid-November and late March had the best effect. Leaf transpiration rate, stomatal conductance, nitrate reductase, nitrite reductase, glutamine synthetase, and glutamate synthase increased by 44.9%, 52.4%, 15.9%, 60.8%, 10.3%, and 38.3%, respectively. The activities of superoxide dismutase, peroxidase, and catalase decreased by 10.8%, 4.1%, and 20.9%, respectively. The improvement of photosynthetic physiological characteristics promoted the dry matter accumulation and reproductive growth of C. tinctorius. The yield of filaments and seeds increased by 15.5% and 11.7%, and the yield of HYSA and kaempferol increased by 17.9% and 20.0%. In short, the suitable sowing date can promote the growth and development of C. tinctorius in Liupanshan of Ningxia, and significantly improve the yield and quality, which is conducive to the high quality and efficient production of C. tinctorius.
Carthamus tinctorius ; Seeds ; Peroxidase/metabolism* ; Plant Leaves/metabolism* ; Antioxidants

Electronic tongue is one kind of bionic detection technologies, which can objectively reflect the taste of drugs based on electrochemical principle. In this paper, the development histories of electronic tongue both of potential type and voltammetry type were introduced, including their detection principles and key innovation technologies. In order to comprehensively improve the understanding of electronic tongue, its technological progresses, such as the study of dedicated sensors or biosensors for specific tastes, and the development of miniaturized or hybrid devices, were also discussed in detail. And the challenges and countermeasures in the application of electronic tongue were analyzed to provide some suggestions for its further technology promotion.

Objective To investigate the relationship between the expression of glutathione peroxidase(GPX)genes and the clinical prognosis in glioma patients,and to construct and evaluate the model for predicting the prognosis of glioma. Methods The clinical information and GPX expression of 663 patients,including 153 patients of glioblastoma(GBM)and 510 patients of low-grade glioma(LGG),were obtained from The Cancer Genome Atlas(TCGA)database.The relationship between GPX expression and patient survival was analyzed.The key GPX affecting the prognosis of glioma was screened out by single- and multi-factor Cox's proportional-hazards regression models and validated by least absolute shrinkage and selection operator(Lasso)regression.Finally,we constructed the model for predicting the prognosis of glioma with the screening results and then used concordance index and calibration curve respectively to evaluate the discrimination and calibration of model. Results Compared with those in the control group,the expression levels of GPX1,GPX3,GPX4,GPX7,and GPX8 were up-regulated in glioma patients(all P<0.001).Moreover,the expression levels of other GPX except GPX3 were higher in GBM patients than in LGG patients(all P<0.001).The Kaplan-Meier curves showed that the progression-free survival of GBM with high expression of GPX1(P=0.013)and GPX4(P=0.040),as well as the overall survival,disease-specific survival,and progression-free survival of LGG with high expression of GPX1,GPX7,and GPX8,was shortened(all P<0.001).GPX7 and GPX8 were screened out as the key factors affecting the prognosis of LGG.The results were further used to construct a nomogram model,which suggested GPX7 was the most important variable.The concordance index of the model was 0.843(95%CI=0.809-0.853),and the calibration curve showed that the predicted and actual results had good consistency. Conclusion GPX7 is an independent risk factor affecting the prognosis of LGG,and the nomogram model constructed with it can be used to predict the survival rate of LGG.
Brain Neoplasms ; Glioblastoma ; Glioma/diagnosis* ; Glutathione Peroxidase/metabolism* ; Humans ; Peroxidases ; Prognosis ; Proportional Hazards Models

The plant root-associated microbiomes include root microbiome and rhizosphere microbiome, which are closely related to plant life activities. Nearly 30% of photosynthesis products of plants are used to synthesize root compounds, there is evidence that root compounds regulate and significantly affect the root microbiome Tanshinones are the main hydrophobic components in Salvia miltiorrhiza. In order to study whether these compounds can regulate the root-associated microbiomes of S. miltiorrhiza, our study first identified a white root S. miltiorrhiza(BG) which contains little tanshinones. Retain of the fifth intron of tanshinones synthesis key enzyme gene SmCPS1 leading to the early termination of the SmCPS1 gene, and a stable white root phenotype. Further, wild type(WT) and BG were planted in greenhouse with nutrient soil(Pindstrup, Denmark) and Shandong soil(collected from the S. miltiorrhiza base in Weifang, Shandong), then high-throughput sequencing was used to analyze the root-associated microbiomes. The results showed that the tanshinones significantly affected the root-associated microbiomes of S. miltiorrhiza, and the impact on root microbiomes was more significant. There are significant differences between WT and BG root microbiomes in species richness, dominant strains and co-occurrence network. Tanshinones have a certain repelling effect on Bacilli which belongs to Gram-positive, while specifically attract some Gram-negative bacteria such as Betaproteobacteria and some specific genus of Alphaproteobacteria. This study determined the important role of tanshinones in regulating the structure of root-associated microbiomes from multiple angles, and shed a light for further improving the quality and yield of S. miltiorrhiza through microenvironment regulation.
Abietanes ; Microbiota ; Plant Roots ; Salvia miltiorrhiza

Although the etiology of sciatica remains uncertain, there is increasing evidence that the disease process of sciatica is associated with the levels of inflammatory factors. Piperine, an alkaloid isolated from Piper nigrum, has previously been demonstrated to inhibit inflammation and analgesic effects. The purpose of this study is to verify the regulatory relationship between miR-520a and p65 and to explore how miR-520a/P65 affects the level of cytokines under the action of piperine, so as to play a therapeutic role in sciatica. Through ELISA experiment, we confirmed that four inflammatory factors (IL-1β, TNF-α, IL-10, TGF-β1) can be used as evaluation indexes of sciatica. The differentially expressed miRNA was screened as miR-520a, by microarray technology, and the downstream target of miR-520a was P65 by bioinformatics. Real-time fluorescence quantitative PCR confirmed that the expression of miR-520a was negatively correlated with pro-inflammatory cytokines, positively correlated with anti-inflammatory cytokines and negatively correlated with p65 expression at mRNA level. The expression of p65 was positively correlated with pro-inflammatory cytokines and negatively correlated with anti-inflammatory cytokines at the protein level verified by ELISA and Western blot. HE staining analysis showed that the nerve fibers were repaired by piprine, the vacuoles were significantly reduced, and the degree of nerve fiber damage was also improved. Immunohistochemical analysis showed that the expression of p65 decreased after administration of piperine. Dual-luciferase reporter gene assay confirmed that the luciferase signal decreased significantly after cotransfection of miR-520a mimics and p65 3'UTR recombinant plasmid. To sum up, in the rat model of non-compressed lumbar disc herniation, piperine plays a significant role in analgesia. MiR-520a can specifically and directly target P65, and piperine can promote the expression of miR-520a, then inhibit the expression of p65, down-regulate the pro-inflammatory factors IL-1β and TNF-α, and up-regulate the effects of anti-inflammatory factors IL-10 and TGF-β1, so as to treat sciatica.

Aim To explore the biological role and related mechanism of rosuvastatin (RS) in mitochondrial damage of neurons after cerebral ischemia/reperfusion (CIR) through UCP2-SIRT3 signaling pathway. Methods Human neuroblastoma cell (SH-SY5Y cell) cerebral infarction reperfusion model (OGD/R) was established, different concentrations of RS (40 and 2. 5 (mol • L

Yinshan Mountains stands on the southern edge of the Inner Mongolia Plateau, which stretches 1 200 km from east to west and 50 to 100 km from north to south. The rich and varied topographic environment of the Yinshan Mountains has created a variety of vegetation floras, which also makes the species of medicinal plant resources in this area unevenly distributed. Therefore, studying the spatial distribution difference of medicinal plant resources among various banners, counties, and districts in the Yinshan area is of great significance to formulate the protection policy and promote the industry development of medicinal plant. This study is based on the fourth national survey of traditional Chinese medicine resources in Inner Mongolia, regarding the results of the third national survey of traditional Chinese medicine resources. The species of medicinal plant resources in the Yinshan area around 31 banners, counties and districts were counted in detail. Then, using exploratory spatial data analysis(ESDA), trend surface analysis, spatial autocorrelation, geographical detector and other geostatistical analysis methods to analyze the differences in the spatial distribution of medicinal plant resources of the Yinshan area in Inner Mongolia. After discussing and analyzing the experimental results to account for the reasons for the overall trend of change and the degree of aggregation, the author further put forward relevant constructive suggestions. The results show that the areas with the most abundant and concentrated distribution of medicinal plant resources in the Yinshan area are located in Guyang county, Shiguai District of Baotou city, Tutou right banner, and Tuoketuo county; the higher richness and concentrated distribution of medicinal plant resources is in Wulate front banner, Wulate middle banner, Wulate back banner; areas with relatively low abundance and concentrated distribution of medicinal plant resources located in Qingshan district of Baotou city, Saihan district and Yuquan district of Hohhot city; areas with the lowest abundance and concentrated distribution of medicinal plant resources are located in Xincheng district and Huimin district of Hohhot city. It can be concluded that the horizontal distribution difference of multiple ecological factors, the special wetland environment of the river, the vertical difference of elevation, the farmland and other factors have an important influence on the richness of the medicinal plant resources species.
China ; Medicine, Chinese Traditional ; Plants, Medicinal

The study is aimed to effectively obtain the planting area of traditional Chinese medicine resources. The herbs used as the material for traditional Chinese medicine are mostly planted in natural environment suitable mountainous areas. The UAV low altitude remote sensing data were used as the samples and the GF-2 remote sensing images were applied for the data source to extract the planting area of Salvia miltiorrhiza and Artemisia argyi in Luoning county combined with field investigation. Remote sensing satellite data of standard processing obtain specific remote sensing data coverage. The UAV data were pre-processed to visually interpret the species and distribution of traditional Chinese medicine resources in the sample quadrat. Support vector machine( SVM) was used to classify and estimate the area of traditional Chinese medicine resources in Luoning county,confusion matrix was used to determine the accuracy of spatial distribution of traditional Chinese medicine resources. The result showed that the application of UAV of low altitude remote sensing technology and remote sensing image of satellite in the extraction of S. miltiorrhiza and other varieties planting area was feasible,it also provides a scientific reference for poverty alleviation policies of the traditional Chinese medicine Industry in local areas.Meanwhile,research on remote sensing classification of Chinese medicinal materials based on multi-source and multi-phase high-resolution remote sensing images is actively carried out to explore more effective methods for information extraction of Chinese medicinal materials.
Altitude ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional ; Natural Resources ; Remote Sensing Technology ; Support Vector Machine