Choroidal metastasis is one of the most common malignant tumors inside the eyes. It causes pain, hypopsia and some other related symptoms. It reduces the quality of the patients' life. It's significant for the patients to be detected and treated early, therefore they will have better vision and longer life. The treatments of choroidal metastasis are developing quickly. Both the vitreous cavity injection of targeted drug and gene therapy are hot topics of research. This paper summarizes the etiology, development, diagnosis and treatment of choroidal metastasis nowadays.

Humans ; Hypertension, Pulmonary ; metabolism ; Iron ; metabolism ; Metabolic Diseases

Child ; Churg-Strauss Syndrome ; pathology ; Female ; Humans

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

This paper was aimed to study the genetic diversity and genetic relationship of germplasm resource of Lonicerae Japonicae Flos in order to provide references for its breeding. A total of 36 samples from 18 farm varieties and wild species, as well as related species of Lonicera japonica Thunb. from the main production areas were studied by ISSR-PCR markers. The Jaccard coefficient was worked out by NTSYS-pc software. And a cluster dendrogram of different samples was established based on unweighted pair-group method with arithmetic mean (UPGMA). The re-sults showed that 12 ISSR primers generated 129 loci of which 114 loci were polymorphic. The average percentage of polymorphic bands (PPB) is 88.37%. In the cluster dendrogram, different samples of Lonicera japonica are in the same group, which showed that it is a natural species; the wild sample is separated from the cultivated samples; the traditional type-Maohua is relative stable, but the type of Jizhuahua includes complicated varieties, and it has obvi-ous genetic variation; the new variety Jiufeng 1 has already distinct into one stable type. It was concluded that the ISSR method was suitable for germplasm identification, genetic diversity analysis of Lonicerae Japonicae Flos, thus providing a theoretical foundation for its cultivation and breeding.

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 explore the behavior characteristics in children with benign epilepsy combined with centro-temporal spikes(BECTS).Methods Eighty-two children with BECTS aged 2.5-3.0(2.65?2.31)years old,51 male,31 female,who were free of mental retardation assessed with Gesell developmental schedules,untreated with antiepileptic drugs,and were investigated 15 days after the latest seizure.Eighty-two healthy children with sex and age matched to the cases,53 male,29 female,aged 2.5-3.0(2.6?0.4)years old.The behavior characteristics of infants in BECTS group and control group were assessed with CBCL,including 6 behavior factors which were sleep problem,social flinches,depression,physical aspect,attacking,act of sabotage and the infants-middle school student social ability scale.Results The total scores of behavior characteristics and the scores of depression,sleep problem,attacking and act of sabotage in BECTS group were all higher than those in control group,the differences were statistically significant.However,scores of social flinches,and physical aspect in BECTS group had no significant differences compared with those of control group.There were no significant difference of social adaptive component between the BECTS and control group.Conclusions Children with BECTS have behavior disorders to some extent,but their social adaptive capacity are the same as normal children.

Objective To investigate the relationship between serum adiponectin and metabolic syndrome(MS) in children and adolescents with obesity and nonalcoholic fatty liver disease(NAFLD).Methods Four elementary schools and 4 middle schools were selected from Haidian district in Beijing with representative cluster sampling.Two hundred and eighty obese children(obese group),65 obese children with NAFLD(NAFLD group) and 264 normal weight children(healthy control group) aged 7 to 18 years were recruited from the 8 schools with uncompletely randomized sampling.Data including questionnaire,anthropometric measurements,B type ultrasonographic examination for liver were collected and fasting blood laboratory assay were determined.Variables including triglyceride(TG),adiponectin,alanine aminotransferase(ALT) and aspartate aminotransferase(AST) were skewed distribution and natural logarithmical transformations were performed.Chi-square test for category and multiple binary Logistic regression analysis were used to statistical analysis.Results Body mass index(BMI) and waist circumference(WC) in obese group and NAFLD group were higher than those in healthy control group.All the chi-square tests for trend among the 3 groups were statistically significant(P

ObjectiveTo investigate influence of sedation and analgesia on stress reaction of post-cardiac surgery in infants with congenital heart disease.MethodsForty children with congenital heart disease were randomly divided into 2 groups after cardiac surgery.The analgesia group was given 0.5-2.0 ?g/(kg?h) fentanyl intravenous infusion in 20 children undergoing cardiovascular surgery.The control group was given 5-8 mg/(kg?dose) lbuprofen orally.Midaiolam 0.01-0.20 mg/(kg?h) was used in 2 groups for sedation by intravenous infusion or 0.05-0.10 mg/(kg?dose)by intravenous push intermittently.The effects and adverse effects of sedation and analgesia were observed on 2,8,24,48 h after surgery in each group.The levels of cortisol,growth hormone,insulin and blood glucose were measured,respectively.ResultsThere were significant differences in Ramsay,Comfort value on 2,8,24 h(Pa

In order to identify Aucklandiae Radix, Vladimiriae Radix, Inulae Radix, Aristolochiae Radix and Kadsurae Radix using ITS2 barcodes, genomic DNA from sixty samples was extracted and the ITS2 (internal transcribed spacer) regions were amplified and sequenced. The genetic distances were computed using MEGA 5.0 in accordance with the kimura 2-parameter (K2P) model and the neighbor-joining (NJ) phylogenetic tree was constructed. The results indicated that for Aucklandiae Radix (Aucklandia lappa), Vladimiriae Radix (Vladimiria souliei and V. souliei var. cinerea), Inulae Radix (Inula helenium), Aristolochiae Radix (Aristolochia debilis) and Kadsurae Radix (Kadsura longipedunculata), the intra-specific variation was smaller than inter-specific one. There are 162 variable sites among 272 bp after alignment of all ITS2 sequence haplotypes. For each species, the intra-specific genetic distances were also smaller than inter-specific one. Furthermore, the NJ tree strongly supported that Aucklandiae Radix, Vladimiriae Radix, Inulae Radix, Aristolochiae Radix and Kadsurae Radix can be differentiated. At the same time, V. souliei (Dolomiaea souliei) and V. souliei var. cinerea( D. souliei var. cinerea) belonging to Vladimiriae Radix were clearly identified. In conclusion, ITS2 barcode could be used to identify Aucklandiae Radix, Vladimiriae Radix, Inulae Radix, Aristolochiae Radix and Kadsurae Radix. Our study may provide a scientific foundation for clinical safe use of the traditional Chinese medicines.
Aristolochia ; classification ; genetics ; Base Sequence ; DNA Barcoding, Taxonomic ; methods ; DNA, Plant ; genetics ; DNA, Ribosomal Spacer ; genetics ; Drugs, Chinese Herbal ; chemistry ; classification ; Molecular Sequence Data ; Phylogeny ; Plants, Medicinal ; classification ; genetics ; Quality Control