The rol genes on pRiA4 plasmid of Agrobacterium rhizogenes are potent genes that promote secondary metabolism. Molecular breeding of Atropa belladonna can be conducted by introducing rol genes to increase tropane alkaloids (TAs) content in A. belladonna. In this study, the rolB gene was overexpressed in A. belladonna plants to study the effect of rolB gene on the biosynthesis of TAs. The phenotype, TAs content and expression levels of key enzyme genes in the pathway of TAs biosynthesis of transgenic A. belladonna were analyzed. The results showed that transgenic A. belladonna had developed root system, enlarged leaves, increased leaf fresh weight, deepened leaf color, enlarged flowers, changed flower shape, reduced pistil height and decreased pollen vitality. The content of TAs in the stems of transgenic A. belladonna was significantly higher than that of the control, and the contents of scopolamine, anisodamine, hyoscyamine can reach 2.11-2.91, 1.23-2.37 and 4.88-5.20 times of the control, respectively. Compared with the control group, the expressions of key enzymes putrescine N-methyltransferase (PMT), type III polyketide synthase (PYKS), tropinone reductase I (TRI), aromatic amino acid aminotransferase 4 (ArAT4), UDP-glycosyltransferase 1 (UGT1) and hyoscyamine 6-β-hydroxylase (H6H) in the TAs biosynthesis pathway were up-regulated, and the expression of tropinone reductase II (TRII) as a metabolic shunting gene was down-regulated. The results indicated that rolB gene enhanced TAs synthesis ability in roots and accumulation in stems of A. belladonna by enhancing metabolic flow of TAs synthesis pathway and weakening the metabolic shunt of competing pathway. This study laid a foundation for molecular breeding of A. belladonna with high-yield TAs content using rolB gene.

Child ; Humans ; Lead ; Urban Population ; Nutritional Status ; Health Surveys ; China/epidemiology* ; Rural Population

Objectives: The aim of this study was to characterize the benefits of converting Electronic Medical Records (EMRs) to a common data model (CDM) and to assess the potential of CDM-converted data to rapidly generate insights for benefit-risk assessments in post-market regulatory evaluation and decisions. Methods: EMRs from January 2013 to December 2016 were mapped onto the Observational Medical Outcomes Partnership-CDM (OMOP-CDM) schema. Vocabulary mappings were applied to convert source data values into OMOP-CDM-endorsed terminologies. Existing analytic codes used in a prior OMOP-CDM drug utilization study were modified to conduct an illustrative analysis of oral anticoagulants used for atrial fibrillation in Singapore and South Korea, resembling a typical benefit-risk assessment. A novel visualization is proposed to represent the comparative effectiveness, safety and utilization of the drugs. Results: Over 90% of records were mapped onto the OMOP-CDM. The CDM data structures and analytic code templates simplified the querying of data for the analysis. In total, 2,419 patients from Singapore and South Korea fulfilled the study criteria, the majority of whom were warfarin users. After 3 months of follow-up, differences in cumulative incidence of bleeding and thromboembolic events were observable via the proposed visualization, surfacing insights as to the agent of preference in a given clinical setting, which may meaningfully inform regulatory decision-making. Conclusions While the structure of the OMOP-CDM and its accessory tools facilitate real-world data analysis, extending them to fulfil regulatory analytic purposes in the post-market setting, such as benefit-risk assessments, may require layering on additional analytic tools and visualization techniques.

ObjectiveTo analyze the transcriptome characteristics of Xianlian Jiedu prescription （XLJDP） in the intervention of colorectal carcinoma by high-throughput cDNA-sequencing （RNA-seq）. MethodNinety male C57BL/6 mice were randomly divided into the control group， colorectal carcinoma due to dampness， heat， stasis， and toxin model group， and XLJDP group， with 30 mice in each group. Mice in the model group and XLJDP group were fed a high-fat diet and provided with azoxymethane and dextran sodium sulfate （AOM/DSS） for inducing colorectal carcinoma. Those in the XLJDP group were further treated with intragastric administration of 12.9 g·kg^-1 XLJDP since the day of modeling for 112 days. The colorectal tissues were collected from each group 4 h after the last drug treatment and stained with hematoxylin-eosin （HE） and methylene blue for observing the pathological changes. The total RNA was extracted from colorectal tissues for RNA-Seq-based transcriptome profiling， followed by gene oncology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment analysis and the screening and verification of differentially expressed genes. ResultCompared with the model group， XLJDP significantly relieved the colorectal congestion and edema and decreased tumor number and volume in mouse colorectal tissues. The methylene blue staining results indicated that XLJDP significantly suppressed the development of aberrant crypt foci （ACF，P<0.01）. As revealed by HE staining， XLJDP significantly alleviated the injury and dysplasia of colorectal tissues. Transcriptome analysis identified 615 differentially expressed genes （446 up-regulated and 169 down-regulated） between the model group and the blank group and 54 differentially expressed genes （29 up-regulated and 25 down-regulated） between the XLJDP group and model group. XLJDP mainly affected the expression of NIMA-related protein kinase 7 gene （Nek7， P<0.01）， Mucin 16 （Muc16， P<0.01）， SiahE3 ubiquitin protein ligase family member 3 （Siah3， P<0.01）， regenerating islet-derived protein 3-gamma （Reg3g， P<0.01）， RNA polymerase Ⅱ elongation factor-associated factor 2 （Eaf2， P<0.01）， transforming growth factor‐alfa gene （TGF-α， P<0.05）， secretoglobin family 1A member 1 （Scgb1a1， P<0.05）， family with sequence similarity 227 member B （Fam227B， P<0.05）， cytochrome P450 family 2 subfamily c polypeptide 40 （Cyp2c40， P<0.01）， and ankyrin repeat and EF-hand domain containing protein 1 （Ankef1， P<0.05）. Enrichment analysis showed that intestinal epithelial cell proliferation， metabolism of xenobiotics by cytochrome P450， and arachidonic acid metabolism signaling pathway were significantly enriched. ConclusionXLJDP is able to interfere with colorectal tumorigenesis and development due to dampness， heat， stasis， and toxin in mice， which has been proved by transcriptome analysis to be related to the regulation of metabolism-related pathways.

Six new (1-6) and seven known depsidones (7-13) were isolated from the culture of an ant (Monomorium chinensis)-derived fungus Spiromastix sp. MY-1. Their structures were elucidated by extensive spectroscopic analysis including high resolution MS, 1D and 2D NMR data. The new bromide depsidones were obtained through supplementing potassium bromide in the fermentation medium of Spiromastix sp. MY-1. All isolated compounds showed various bioactivities against the tested phytopathogenic bacteria. Particularly, new bromide compound 4, named spiromastixone S, exhibited the strongest activity against Xanthomonas oryzae pv. oryzae with a MIC value of 5.2 μmol·^-1.
Animals ; Anti-Bacterial Agents ; Ants ; Bromides ; Depsides ; Fungi ; Lactones ; Microbial Sensitivity Tests ; Molecular Structure

Tanshinone IIa is a key ingredient extracted from the traditional Chinese medicine Salvia miltiorrhiza (Danshen), and is widely used to treat various cardiovascular diseases. Vascular calcification is a common pathological change of cardiovascular tissues in patients with chronic kidney disease, diabetes, hypertension and atherosclerosis. However, whether Tanshinone IIa inhibits vascular calcification and the underlying mechanisms remain largely unknown. This study aims to investigate whether Tanshinone IIa can inhibit vascular calcification using high phosphate-induced vascular smooth muscle cell and aortic ring calcification model, and high dose vitamin D₃ (vD₃)-induced mouse models of vascular calcification. Alizarin red staining and calcium quantitative assay showed that Tanshinone IIa significantly inhibited high phosphate-induced vascular smooth muscle cell and aortic ring calcification. qPCR and Western blot showed that Tanshinone IIa attenuated the osteogenic transition of vascular smooth muscle cells. In addition, Tanshinone IIa also significantly inhibited high dose vD₃-induced mouse aortic calcification and aortic osteogenic transition. Mechanistically, Tanshinone IIa inhibited the activation of NF-κB and β-catenin signaling in normal vascular smooth muscle cells. Similar to Tanshinone IIa, inhibition of NF-κB and β-catenin signaling using the chemical inhibitors SC75741 and LF3 attenuated high phosphate-induced vascular smooth muscle cell calcification. These results suggest that Tanshinone IIa attenuates vascular calcification at least in part through inhibition of NF-κB and β-catenin signaling, and Tanshinone IIa may be a potential drug for the treatment of vascular calcification.
Animals ; Mice ; NF-kappa B/metabolism* ; beta Catenin/metabolism* ; Signal Transduction ; Myocytes, Smooth Muscle/metabolism* ; Vascular Calcification/metabolism* ; Phosphates/metabolism*

Slow freezing is the most commonly used technique for the cryopreservation of spermatozoa in clinical practice. However, it has been shown to have a negative impact on sperm function and structure. Vitrification as a successful alternative method has been proved to have better protective effects on human embryos, but vitrification of spermatozoa is still subject to low recovery rates. In this study, a modified vitrification method for native spermatozoa was developed. A total of 28 semen samples were included; each sample was divided into three equal parts and assigned to fresh, slow freezing, and vitrification groups. Sperm vitality, motility, morphology, DNA integrity, and acrosome reaction were assessed for each of the groups. The results showed that vitrification achieves better results for several sperm protection parameters than slow freezing; vitrification achieves a higher recovery rate (P < 0.05), motility (P <0.05), morphology (P <0.05), and curve line velocity (P <0.05) than slow freezing. Furthermore, DNA fragmentation was decreased (P <0.05) and better acrosome protection (P <0.05) was exhibited in the spermatozoa after vitrification. Principal component analysis of all sperm parameters revealed that the vitrification cluster was closer to the fresh cluster, indicating that spermatozoa are better preserved through vitrification. In conclusion, while both slow freezing and vitrification have negative effects on sperm function and structure, the vitrification protocol described here had a relatively better recovery rate (65.8%) and showed improved preservation of several sperm quality parameters compared with slow freezing.

Plants have a memory function for the environmental stress they have suffered. When they are subjected to repeated environmental stress, they can quickly and better activate the response and adaptation mechanism to environmental stress, thus realizing long-term stable reproduction. However, most of the relevant studies are applied to crops and Arabidopsis thaliana rather than medicinal plants about the improvement of plant growth status and the effect on phytoalexin biosynthesis. In this study, yeast extract(YE) was used as an elicitor to simulate biotic stress, and the changes in biomass and the content of some secondary metabolites were measured by giving repeated stresses to Sorbus aucuparia suspension cell(SASC). The results showed that the accumulation levels of biomass and some secondary metabolites in SASC subjected to repeated stress are significantly increased at some time points compared with single stress. A phenomenon that SASC can memorize biotic stress is confirmed in this study and influences phytoalexin accumulation in SASC. Furthermore, the work laid the groundwork for research into the transgenerational stress memory mechanism of medicinal plant.
Cells, Cultured ; Secondary Metabolism ; Sorbus ; Stress, Physiological

BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on deep learning (DL) algorithms, validate the effectiveness of the model, and explore the potential value of DL algorithms in assessing FLM. METHODS: A total of 7013 ultrasound images obtained from 1023 normal pregnancies between 20 and 41 + 6 weeks were analyzed in this study. There were no pregnancy-related complications that affected fetal lung development, and all infants were born without neonatal respiratory diseases. The images were divided into three classes based on the gestational week: class I: 20 to 29 + 6 weeks, class II: 30 to 36 + 6 weeks, and class III: 37 to 41 + 6 weeks. There were 3323, 2142, and 1548 images in each class, respectively. First, we performed a pre-processing algorithm to remove irrelevant information from each image. Then, a convolutional neural network was designed to identify different categories of fetal lung ultrasound images. Finally, we used ten-fold cross-validation to validate the performance of our model. This new machine learning algorithm automatically extracted and classified lung ultrasound image information related to GA. This was used to establish a grading model. The performance of the grading model was assessed using accuracy, sensitivity, specificity, and receiver operating characteristic curves. RESULTS: A normal fetal lung GA grading model was established and validated. The sensitivity of each class in the independent test set was 91.7%, 69.8%, and 86.4%, respectively. The specificity of each class in the independent test set was 76.8%, 90.0%, and 83.1%, respectively. The total accuracy was 83.8%. The area under the curve (AUC) of each class was 0.982, 0.907, and 0.960, respectively. The micro-average AUC was 0.957, and the macro-average AUC was 0.949. CONCLUSIONS The normal fetal lung GA grading model could accurately identify ultrasound images of the fetal lung at different GAs, which can be used to identify cases of abnormal lung development due to gestational diseases and evaluate lung maturity after antenatal corticosteroid therapy. The results indicate that DL algorithms can be used as a non-invasive method to predict FLM.
Algorithms ; Deep Learning ; Female ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Lung/diagnostic imaging* ; Neural Networks, Computer ; Pregnancy