RESUMO
Objective To explore the construction and visualization for knowledge graph of Ling Shu(Spiritual Pivot),with a view to providing ideas for the structured storage and display of the theoretical knowledge of the ancient Chinese medical books.Methods Using the professional idea of constructing knowledge graphs for reference,text mining technology was applied to construct the thesaurus,and then word division,entity recognition,and relationship extraction for the original text of Ling Shu were performed to get the elements of knowledge graph construction.The graph database Neo4j was used for the storage and query of the knowledge graph,and then the visual display of the knowledge graph was achieved.Results The 1 216 high-quality words consisting of the thesaurus of Ling Shu were obtained,and the construction of the knowledge graph of the theory of Ling Shu was realized.The constructed knowledge graph basically displayed the traditional Chinese medicine theories such as the correlation of visceral manifestations with essence qi,and the relationship between emotions and the five-zang organs described in Ling Shu,which made the retrieval and utilization of the related entities and relationships possible,and provided ideas for the structured storage and display of the theoretical knowledge of the ancient books of Chinese medicine.Conclusion The knowledge graph construction technology can be used to obtain the Chinese medicine theoretical knowledge graph of Ling Shu,and to display the knowledge connections of yin-yang and the five elements,and the internal organs and meridians expressed in the Ling Shu.The construction of the knowledge graph and its storage in the graph database enable the knowledge graph involved in the text of Ling Shu to be displayed in the form of visualized semantic network graph,and also make the embedding of other search systems such as the semantic search and semantic wiki possible,which will be helpful for the development of Chinese medicine intelligent medical services.
RESUMO
BACKGROUND: This study was undertaken to determine the prevalence of organ failure and its risk factors in patients with severe acute pancreatitis (SAP) . METHODS: A retrospective analysis was made of 186 patients with SAP who were had been hospitalized in the intensive care unit of Jinzhong First People's Hospital between March 2000 and October 2009. The patients met the diagnostic criteria of SAP set by the Surgical Society of the Chinese Medical Association in 2006. The variables collected included age, gender, etiology of SAP, the number of comorbidit, APACHEII score, contrast-enhanced CT (CECT) pancreatic necrosis, CT severity index (CTSI) , abdominal compartment syndrome (ACS) , the number of organ failure, and the number of death. The prevalence and mortality of organ failure were calculated. The variables were analyzed by unconditional multivariate logistic regression to determine the independent risk factors for organ failure in SAP. RESULTS: Of 186 patients, 96 had organ failure. In the 96 patients, 47 died. There was a significant association among the prevalence of organ failure and age, the number of comorbidity, APACHEII score, CECT pancreatic necrosis, CTSI, and ACS. An increase in age, the number of comorbidity, APACHEII score, CECT pancreatic necrosis were correlated with increased number of organ failure. Age, the number of comorbidity, APACHEII score, CECT pancreatic necrosis, CTSI and ACS were assessed by unconditional multivariate logistic regression. CONCLUSIONS: Organ failure occurred in 51.6％ of the 186 patients with SAP. The mortality of SAP with organ failure was 49.0％. Age, the number of comorbidity, APACHEII score, CECT pancreatic necrosis, CTSI and ACS are independent risk factors of organ failure.
RESUMO
<p><b>OBJECTIVES</b>To analyze the differential expression genes (DEGs) among hepatocellular carcinoma (HCC), para-cancerous tissue (PCT) and normal liver tissue (NLT) and explore the target genes related to the development and progression of HCC.</p><p><b>METHODS</b>The total RNAs of matched HCC, PCT and NLT of HCC patients were isolated using one step Trizol method. Matched RNAs were qualified using 10 g/L agarose gel electrophoresis and lab-on-chip. cRNAs were synthesized, fluorescence labeled and purified after total RNAs were purified. The RNAs of HCC and NLT, HCC and PCT were hybridized with Agilent oligo microarray (21,074 probes). The fluorescence intensity features were detected by Agilent scanner and quantified by feature extraction software. The selected candidate genes were confirmed by SYBR Green I stained real time RT-PCR.</p><p><b>RESULTS</b>(1) The total RNA, reverse transcription product and fluorescence labeled cRNA were all of high quality; (2) There were 420 up-regulated genes and 552 down-regulated genes among 2-fold DEGs, including DKK1 (dickkopf homolog 1) which was 5-fold up-regulated; (3) The results of real time RT-PCR, using beta-actin as an internal control, showed that the 2-Delta Ct values of DKK1 in HCC, PCT and NLT were 0.089 504, 0.007,65 and 0.000,631 respectively.</p><p><b>CONCLUSION</b>(1) The high throughput and effective Agilent oligo microarray can screen novel therapy targeted genes by analyzing the DEGs in development and progression of HCC; (2) The development and progression of HCC is a complicated process involving multigenes and multiprocedures; (3) DKK1, as a novel gene, is involved in the development and progression of HCC and may be a new therapy target.</p>