Tau is the most abundant microtubule-associated protein in the brain .If tau protein lost the normal function, the toxic effect should be showed and plays an important role in various central nervous system lesions .Hypoxic-ischemic encephalopathy ( HIE) is an important cause of mortality in the neonatal period and it is mainly characterized by neurological deficits such as cognitive limitations .However , the mechanism still needs further study , and the underlying re-lationship between tau protein and HIE lacks direct evidence .Some recent clinical study reported that tau protein expres-sion elevated in the serum of asphyxia children and had a high correlation with behavior deficient .In this review , we focus on 3 key points to provide new insights to understand the tau protein-related pathogenesis of HIE as followed:(1) tau pro-tein and its phosphorylation change during central nervous system development ;(2) comparison of tau protein expression in developing brain and adult brain under some neurological disorders;(3) potential pathological change of tau in HIE related pathological conditions , such as dysmyelination , inflammation response and glutamate metabolism .

Child, Preschool ; Humans ; Male ; Neurilemmoma ; Spinal Canal ; Spinal Neoplasms

Biomarkers, Tumor ; Chromosomes, Human, Pair 17 ; Chromosomes, Human, Pair 22 ; Chromosomes, Human, Pair 5 ; Dermatofibrosarcoma ; genetics ; metabolism ; Humans ; Oligonucleotide Array Sequence Analysis ; Oncogene Proteins, Fusion ; biosynthesis ; genetics ; RNA, Messenger ; biosynthesis ; genetics ; Ring Chromosomes ; Skin Neoplasms ; genetics ; metabolism ; Translocation, Genetic ; Trisomy

Chinese meteria medica (CMM) chain is a long-span chain covering agriculture which mainly depends on the forces of nature as well as high-tech CMM industry, CMM expertise industry and fast developing CMM circulation industry. Imbalance among the development of these industries produces bottlenecks and hinders the operation of the entire production chain. After analyzing the structure of Chinese meteria medica industrial chain from the perspective of national economy industry, three industry classifications and differentiation of factor intensity, we conclude that the complex structure of CMM industry chain is attributable to these three aspects. And the complexity is mainly shown at complex industry, varied product types, different coordination of various industrial sections and different technical growth speed of varied industry. We propose that structural complexity is the natural property of the chain, which is the main reason of industry sector development imbalance and bottleneck. Results of this research could provide theoretical analysis for future research on the coordination of industrial chain and the efficiency of resource allocation.
China ; Drug Industry ; economics ; standards ; Medicine, Chinese Traditional ; economics ; standards ; Plants, Medicinal ; chemistry

Objective To investigate the effects and mechanism of silicone gel sheeting on hypertrophic scar. Methods Using human hypertrophic scar as a research object, the changes of fibroblast, collagen metabolism and cytokine expression were observed to study the effects of silicone gel sheeting on hypertrophic scar by clinical observation, histomorphology and immunohistochemistry. Results Compared with the control group, the hypertrophic scar became thin, soft and light markedly, and the expression of TGF ? 1, TGF ? (RI) and ? SM actin were significantly decreased in therapeutic group. Conclusion Silicone gel sheeting may have an influence on scar via inhibiting the expression of TGF ? 1, TGF ?(RI) and ? SM actin in fibroblasts.

Background Postoperative endophthalmitis following intraocular lens(IOL)implantation is still one of the most feared complications of cataract surgery.Bacterial adhesion to IOLs during their insertion is a prominent etiological factor.The adhesion characteristics of bacteria to IOL are very vital for the prevention of endophthalmitis after cataract surgery.Objective The present study was to observe the in vitro adherence ability of Staphylococcus epidermidis to different intraocular lenses(IOLs)and compare the results in bacterial counting between scanning electron microscopy(SEM)photographs and quantitative cultures. Methods Five types of IOLs,including hydrophobic acrylic IOL,polymethylmethaerylate(PMMA)IOL,heparin-surface-modified(HSM) PMMA IOL,silicone(SI)IOL and hydrophilic acrylic IOL,were put into S.epidermidis(ATCC 12228)suspension for 1 hour.The bacterial adhesion numbers on the IOL surfaces were counted by quantitative cultures and scanning electron microscopy(SEM) photographs. Results Quantitative culture counting of viable adherent bacteria released by sonication showed that hydrophobic acrylic IOL and PMMA IOL were more likely for bacteria to attach.The number of bacteria on the five types of IOL surfaces showed significant differences(F=100.084,P=0.000).No significant differences were found in the number of bacteria between hydrophilic acrylic IOL and HSM-PMMA IOL (t=2.285,P=0.052)with the quantitative culture method.Direct counting of adherent bacteria in SEM photographs revealed that there were significant differences in bacterial adhesion numbers among difierent IOL material groups,with the numbers from high to low as follows:Hydrophobic IOL＞PMMA IOL＞SI IOL＞Hydrophilic IOL＞HSM-PMMA IOL(F=118.065,P=0.000).The counting method by SEM method was superior to that by quantitative cultures (t=5.019,P=0.000). Conclusion The bacterial adhesion ability varies upon the difference of IOL materials.Less bacterial adhesion is found on hydrophilic acrylic IOL and HSM-PMMA IOL,implying that the use of IOLs made from these two materials during surgery could diminish the incidence of postoperative endophthalmitis and intraocular inflammation associated with IOLs implantation.

A new risk analysis method based upon reliability theory was introduced in this paper for the quality risk management of Chinese medicine injection manufacturing plants. The risk events including both cause and effect ones were derived in the framework as nodes with a Bayesian network analysis approach. It thus transforms the risk analysis results from failure mode and effect analysis (FMEA) into a Bayesian network platform. With its structure and parameters determined, the network can be used to evaluate the system reliability quantitatively with probabilistic analytical appraoches. Using network analysis tools such as GeNie and AgenaRisk, we are able to find the nodes that are most critical to influence the system reliability. The importance of each node to the system can be quantitatively evaluated by calculating the effect of the node on the overall risk, and minimization plan can be determined accordingly to reduce their influences and improve the system reliability. Using the Shengmai injection manufacturing plant of SZYY Ltd as a user case, we analyzed the quality risk with both static FMEA analysis and dynamic Bayesian Network analysis. The potential risk factors for the quality of Shengmai injection manufacturing were identified with the network analysis platform. Quality assurance actions were further defined to reduce the risk and improve the product quality.
Drugs, Chinese Herbal ; administration & dosage ; chemistry ; standards ; Medicine, Chinese Traditional ; standards ; Quality Control ; Reproducibility of Results ; Risk Assessment

Anemia, Iron-Deficiency ; complications ; Female ; Humans ; Middle Aged ; Telangiectasia, Hereditary Hemorrhagic ; complications

Huge amount of data becomes available from the pharmaceutical manufacturing process with wide application of in- dustrial automatic control technology in traditional Chinese medicine (TCM) industry. The industrial big data thus provides golden op- portunities to better understand the manufacturing process and improve the process performance. Therefore it is important to implement data integration and management systems in TCM plants to easily collect, integrate, store, analyze, communicate and visulize the data with high efficiency. It could break the data island and discover useful information and knowledge to improve the manufacturing process performance. The key supporting technologies for TCM manufacturing and industrial big data management were introduced in this paper, with a specific focus on data mining and visualization technologies. Using historic data collected from a manufacturing plant of Shengmai injection of SZYY group, we illustrated the usefulness and discussed future prospects of data mining and visualization technologies.
Cluster Analysis ; Computer Graphics ; Data Mining ; methods ; Manufactured Materials ; Medicine, Chinese Traditional ; methods ; Quality Control

OBJECTIVE: To study the effects of Shengji Huayu Recipe (a traditional Chinese medicine compound recipe for resolving stagnation and promoting granulation) and its decomposed formulas (Huayu Recipe for resolving stagnation and Shengji Recipe for promoting granulation) on the synthesis of collagen types I and III in granulation tissue of rats in early wound healing. METHODS: Twenty-four male Sprague-Dawley (SD) rats with full-thickness skin lesion were randomized into 4 groups: Shengji Huayu Recipe-treated group, Shengji Recipe-treated group, Huayu Recipe-treated group and untreated group. Collagen types I and III in granulation tissue of the rats were tested with immunohistochemical methods and image analysis. RESULTS: On the third day of wound healing, collagen I of the rats in both Shengji Huayu Recipe-treated group and Shengji Recipe-treated group was higher than that in the untreated group, and collagen I of the rats in Huayu Recipe-treated group was lower than that in the untreated group (P<0.05). Collagen III of the rats in the three treated groups were lower than that in the untreated group (P<0.05). On the seventh day of wound healing, Collagen I of the rats in both Shengji Huayu Recipe-treated group and Shengji Recipe-treated group was higher than that in the untreated group (P<0.05), and collagen III of the rats in both Shengji Recipe-treated group and Huayu Recipe-treated group was higher than that in the untreated group (P<0.05). CONCLUSION: Resolving stagnation and promoting granulation therapy can promote the wound healing in rats.