Biotechnology is one of the important areas of Beijing’s high-technology industry. Steadily progress had been obtained after 1995. Beijing has predominance in this area, such as research and development, talents, clinic, and so on. The development of Beijing biotechnology industry in recent years was focused, and the main challenges and relative suggestions were proposed.

Objective To explore the optimal diagnosis and treatment strategy of tumors at the foramen magnum,the clinical characteristics were analyzed retrospectively.Methods The clinical data of 58 cases with foramen magnum tumors treated with microsurgery in our department were collected and analyzed retrospectively.And intraoperative neurophysiological monitoring was employed in later 21 cases.Results Gross total resection was achieved in 48 of the 58 cases ; Five of the 10 patients with VA encased by tumors were totally resected.Full resection was achieved in 43 of the last 48 cases.Forty-three of the 47 cases with intradural tumors got complete resection,and total resection was achieved in 3 and 2,respectively,in 9 intra-extradural communicated tumors and 2 extradural ones.Symptoms were significantly improved in 50 cases,worsened in 5 patients,and maintained stable in the last 3 patients.Post-operative symptoms were obviously improved in the later 21 cases with intraoperative neurophysiological monitoring employed and the therapeutic effect of the treatment was much better than the former cases.Three patients died postoperatively.Fifty cases got complete follow-up from 6 months to 3 years.Among them,forty-four patients had a KPS score of 80-100,but the other 6 patients less than 80.Conclusion Microsurgical treatment for foramen magnum tumors is effective.Optimal surgical approaches and precise micro-operative techniques are crucial for the tumor removing.It is quite difficult and risky to fully resect the intra-extradural communicated tumors and the ones encasing vertebral artery.Preoperative evaluation should be profound.The application of intra-operative electrophysiological monitoring and the timely management of post-operative complications can improve the prognosis obviously.

Recombinant baculovirus containing sigmaC gene of Avian reovirus was constructed using Bac-To-Bac Baculovirus expression system, and recombinant sigmaC protein was expressed by infecting the sf9 cell with recombinant baculovirus. Firstly, sigmaC gene of Avian reovirus was cloned and inserted into donor plasmid pFastBacHTA to obtain recombinant donor plasmid pFsigmaC. Plasmid pFsigmaC was transformed into E. coli DH10Bac for integration into bacmid vector and the recombinant bacmid plasmid BacmidsigmaC was obtained. Recombinant baculovirus rBacsigmaC was obtained by transfection of the sf9 cells with BacmidsigmaC. Western blot and indirect immunofluorescence assay (IFA) were carried and the results showed that the recombinant sigmaC protein with 37 kDa molecular weight was expressed successfully.
Animals ; Baculoviridae ; genetics ; Capsid Proteins ; genetics ; metabolism ; Cell Line ; Cloning, Molecular ; Gene Expression ; Genetic Vectors ; genetics ; metabolism ; Orthoreovirus, Avian ; genetics ; metabolism ; Recombinant Proteins ; genetics ; metabolism ; Spodoptera ; Transfection

OBJECTIVE: To evaluate toxicity of raw extract of Panax notoginseng (rPN) and decocted extract of PN (dPN) by a toxicological assay using zebrafish larvae, and explore the mechanism by RNA sequencing assay. METHODS: Zebrafish larvae was used to evaluate acute toxicity of PN in two forms: rPN and dPN. Three doses (0.5, 1.5, and 5.0 µ g/mL) of dPN were used to treat zebrafishes for evaluating the developmental toxicity. Behavior abnormalities, body weight, body length and number of vertebral roots were used as specific phenotypic endpoints. RNA sequencing (RNA-seq) assay was applied to clarify the mechanism of acute toxicity, followed by real time PCR (qPCR) for verification. High performance liquid chromatography analysis was performed to determine the chemoprofile of this herb. RESULTS: The acute toxicity result showed that rPN exerted higher acute toxicity than dPN in inducing death of larval zebrafishes (P<0.01). After daily oral intake for 21 days, dPN at doses of 0.5, 1.5 and 5.0 µ g/mL decreased the body weight, body length, and vertebral number of larval zebrafishes, indicating developmental toxicity of dPN. No other adverse outcome was observed during the experimental period. RNA-seq data revealed 38 genes differentially expressed in dPN-treated zebrafishes, of which carboxypeptidase A1 (cpa1) and opioid growth factor receptor-like 2 (ogfrl2) were identified as functional genes in regulating body development of zebrafishes. qPCR data showed that dPN significantly down-regulated the mRNA expressions of cpa1 and ogfrl2 (both P<0.01), verifying cpa1 and ogfrl2 as target genes for dPN. CONCLUSION This report uncovers the developmental toxicity of dPN, suggesting potential risk of its clinical application in children.
Animals ; Zebrafish/genetics* ; Saponins/pharmacology* ; Panax notoginseng/chemistry* ; Larva ; Sequence Analysis, RNA

The stable quality of hospital preparations is the basis for their clinical efficacy. Gynecological antipruritic prescription is widely used in gynecology clinics of Chinese medicine hospitals. Therefore,in this study,the production process of gynecological antipruritic lotion was optimized based on the concept of quality by design( QbD). The production process of the gynecological antipruritic lotion was developed to ensure its process stability and reliable quality,and enhance its clinical applicability. With total amount of matrine and oxymatrine used as the critical quality attribute( CQA) of the production process,parameter levels were designed based on production practice of hospital preparations,and Plackett-Burman and Box-Behnken experiments were used to optimize the water extraction and alcohol precipitation process of antipruritic lotion based on CQA of intermediates and final product. The soaking time,the first extraction time,and the second extraction time were determined as the critical process parameters( CPPs) of the production process. The optimal preparation process was as follows: water volume of 8 times,soaking for 0. 5 h,extraction for 2 times,the first extraction for 30 min,the second extraction for 56 min,alcohol concentration of 50%,and alcohol precipitation for 3 h. Furthermore,the design space was established based on the binomial regress model between CPPs and CQA,so as to set the optimization target and risk range; and the control space was displayed by overlay plot. The results of three repeated experiments in the control space showed that the relative standard deviation( RSD) of CQA was 4. 70%,and the similarity of chromatogram for gynecological antipruritic lotion was 0. 978,0. 974,and 0. 998,respectively. The above results indicated that the operation in the control space can guarantee the quality and stability of gynecological antipruritic lotion,suitable for practical application.
Antipruritics ; Drugs, Chinese Herbal ; Water

For the field detection problems of critical quality attribute(CQA) of moisture content in traditional Chinese medicine(TCM) manufacturing process, big brand TCM Tongren Niuhuang Qingxin Pills were used as the carrier, to establish a moisture content NIR field detection model with or without cellophane in real world production with use of near infrared(NIR) spectroscopy combined with stoichiometry. With the moisture content determined by drying method as reference value, the partial least square method(PLS) was used to analyze the correlation between the spectrum and the moisture reference value. Then the spectral pretreatment methods were screened and optimized to further improve the accuracy and stability of the model. The results showed that the best quantitative model was developed by the spectral data pretreatment of standard normal variate(SNV) with the latent variable factor number of 2 and 7 of Tongren Niuhuang Qingxin Pills with or without cellophane samples. The prediction coefficient of determination(R_(pre)~2) and standard deviation of prediction(RMSEP) of the model with cellophane samples were 0.765 7 and 0.157 2%; R_(pre)~2 and RMSEP of the model without cellophane samples were 0.772 2 and 0.207 8%. The NIR quantitative models of moisture content of Tongren Niuhuang Qingxin Pills with and without cellophane both showed good predictive performance to realize the rapid, accurate and non-destructive quantitative analysis of moisture content in such pills, and provide a method for the field quality control of the critical chemical attributes of moisture in the manufacturing of big brand TCM.
Drugs, Chinese Herbal ; Least-Squares Analysis ; Medicine, Chinese Traditional ; Spectroscopy, Near-Infrared

Identification of critical quality attribute(CQA) is crucial in quality control of Tongren Niuhuang Qingxin Pills(TRNHQXP). In this study, 661 active components in TRNHQXP were selected by liquid chromatography-mass spectrometry(LC-MS) and network pharmacology based on reported data and TCMSP, BATMAN-TCM, and TCMID databases, as well as mass spectrometry data, and 1 413 targets of the active components were obtained through SwissTargetPrediction. The 152 potential targets obtained from the intersection of predicted targets with 456 stroke targets underwent functional enrichment analysis by Metascape. The 27 Chinese medicinals in TRNHQXP were divided into four sets according to efficacies. Thirty-seven key targets in the blood-activating and stasis-resolving set and 41 in the tonifying set were screened out. On the basis of these potential key targets, 137 potential key CQA of TRNHQXP for stroke were reversely predicted. This study revealed the possible mechanism of TRNHQXP in treating stroke and established a modular identification method for the potential CQA of big brand traditional Chinese medicine(TCM) based on efficacies and chemical properties. Consequently, the CQA of TRNHQXP were identified by this method, which has provided a reference for the following experimental studies of CQA.
Chromatography, Liquid ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional ; Quality Control

Spatial distribution uniformity is the critical quality attribute(CQA) of Ginkgo Leaves Tablets, a variety of big brand traditional Chinese medicine. The evaluation of the spatial distribution uniformity of active pharmaceutical ingredients(APIs) in Ginkgo Leaves Tablets is important in ensuring their stable and controllable quality. In this study, hyperspectral imaging technology was used to construct the spatial distribution map of API concentration based on three prediction models, further to realize the visualization research on the spatial distribution uniformity of Ginkgo Leaves Tablets. The region of interest(ROI) was selected from each Ginkgo Leaves Tablet, with length and width of 50 pixels, and a total of 2 500 pixels. Each pixel had 288 spectral channels, and the number of content prediction data could reach 1×10~5 for a single sample. The results of the three models showed that the Partial Least Squares(PLS) model had the highest prediction accuracy, with calibration set determination coefficient R_(pre)~2 of 0.987, prediction set determination coefficient R_(pre)~2 of 0.942, root mean square error of calibration(RMSEC) of 0.160%, and root mean square error of prediction(RMSEP) of 0.588%. The classical least-squares(CLS) model had a greater prediction error, with the RMSEP of 0.867%. Multivariate Curve Resolution-Alternating Least Square(MCR-ALS) model showed the worst predictive ability among the three models, and it couldn't realize content prediction. Based on the prediction results of PLS and CLS models, the spatial distribution map of APIs concentration was obtained through three-dimensional data reconstruction. Furthermore, histogram method was used to evaluate the spatial distribution uniformity of API. The data showed that the spatial distribution of APIs in Ginkgo Leaves Tablets was relatively uniform. The study explored the feasibility of visualization of spatial distribution of Ginkgo Leaves Tablets based on three models. The results showed that PLS model had the highest prediction accuracy, and MCR-ALS model had the lowest prediction accuracy. The research results could provide a new strategy for the visualization method of quality control of Ginkgo Leaves Tablets.
Calibration ; Ginkgo biloba ; Least-Squares Analysis ; Medicine, Chinese Traditional ; Plant Leaves ; Quality Control ; Spectroscopy, Near-Infrared ; Tablets