Purpose To study the expression of metastasis suppressor gene (KAI1/CD82) and cell adhesion molecules(CD44v6) in human laryngeal squamous cell carcinoma ( LSCC) and its clinical significance, and to investigate their relationship. Methods EnVi-sion immunohistochemistry was used to detect the expression of KAI1/CD82 and CD44v6 protein in 64 cases of LSCC tissues and 15 ca-ses of normal laryngeal mucosa ( NLM) tissues. Results The positive rate of KAI1/CD82 in LSCC tissues ( 37. 50%) was signifi-cantly lower than that of the NLM tissues(86. 67%) (P=0. 031), and the positive rate of CD44v6 in LSCC tissues(75. 00%) was significantly higher than that of the NLM tissues(26. 67%) (P=0. 011). The expression of KAI1/CD82 was associated with clinical stages, grade of tumor differentiation, neck lymph node metastasis ( P<0. 05 ) while not related with age, sex and prognosis ( P>0. 05). And CD44v6 with grade of tumor differentiation, neck lymph node metastasis and prognosis (P<0. 05), but not with age, sex and clinical stages (P>0. 05). In addition, KAI1/CD82 expression was negatively correlated with CD44v6 expression (rs = -0. 504, P=0. 036). Conclusion KAI1/CD82 and CD44v6 are mutually inhibited in the tumorigenesis, progress, invasion and metastasis, and detection of the expression of KAI1/CD82 and CD44v6 may be helpful for judging the biological behaviors of LSCC.

Objective To study the expression of metastasic suppressor gene( KAI1 / CD82)and cell adhesion molecules(CD44v6)in human laryngeal squamous cell carcinoma(LSCC),precancerous lesion,polyps,and normal mucosa. Methods Immunohistochemical technique( Envision)was used to detect the expression of KAI1 / CD82 protein and CD44v6 protein in 64 cases of LSCC,21 cases of laryngeal precancerous lesion(LPL),15 cases of polyp of larynx(LP)and 15 cases of normal laryngeal mucosa(NLM). Results The result turned out to be as follows:①KAI1 / CD82 protein was highly expressed in NLM and LP,and lowly expressed in LPL and LSCC,the positive rates of KAI1 / CD82 protein expression were 86. 67%(13 / 15),80. 00%(12 / 15),38. 10%(8 / 21)and 37. 50%(24 /64),respectively. There was statistically significant difference in NLM and LSCC. ② CD44v6 protein was lowly ex-pressed in NLM and LP and highly expressed in LPL and LSCC,the positive rates of CD44v6 protein expression were 26. 67%(4 / 15),33. 33%(5 / 15),80. 95%(17 / 21)and 75. 00%(48 / 64),respectively. There was statisti-cally significant difference in NLM and LSCC. Conclusion ① The down-regulation or deletion of KAI1 / CD82 and the up-regulation of CD44v6 are related to carcinogenesis,development of LSCC. ② The combined detection of KAI1 / CD82 and CD44v6 may provide clinical basis for the early diagnosis of LSCC.

10.3969/j.issn.2095-4344.2013.26.025

BACKGROUND:As bone marrow mesenchymal stem cel s can be differentiated into osteoblasts under certain induction conditions, autologous bone marrow mesenchymal stem cel s can be implanted into the bone nonunion site of bone fracture. This new technology garners increasing attention of orthopedic clinicians.
OBJECTIVE:To summarize the clinical efficacy of transplantation of bone marrow mesenchymal stem cel s in the treatment of bone nonunion of limb fractures.
METHODS:A computer-based search of Foreign Medical Journal Ful-Text Service and CNKI databases was performed for articles related to bone marrow mesenchymal stem cel s for treatment of bone nonunion of limb fractures published from 1998 to 2014 using the keywords of“bone marrow stem cel s (BMSCs), stem cel transplantation (SCT), nonunions, tissue engineering”in English and Chinese, respectively. Literatures with repetitive content and lack of originality were excluded. A total of 36 literatures were obtained for further analysis. RESULTS AND CONCLUSION:Bone marrow mesenchymal stem cel s are transplanted into the end of bone nonunion, and then can be induced to differentiate into osteoblasts to repair bone nonunion and bone defects,
laying a theoretical basis for clinical application. Bone marrow mesenchymal stem cel s can repair bone defects, which provides an effective method and material to promote fracture healing. Transplantation of bone marrow mesenchymal stem cel s is safe and effective for treatment of bone nonunion of limb fracture.

Objective To study the mechanism of liver-qi stagnation syndrome of rat models. Methods The binding method was used to make rat models of liver-qi stagnation syndrome and the quantitative changes of hypothalamus norepinephrine (NE), epinephrine (E), dopamine (DA), and 5-hydroxytryptamine (5-HT) before and after modeling were determined with reversed phase ion pair (RP-IP)-HPLC. Results The level of E, DA and 5-HT was remarkably increased (P

Objective To explore the test-retest reliability and correlations of the light-dark box (LDB).MethodsThe behavior of mice in LDB was recorded twice, for five minutes,with a one-week inter-trial interval.Following parameters were evaluated:latency time for the first entry into the dark area (Latence); percentage of time exploring in the light area ( Ltime％ ); percentage of squares crossing in the light area ( Lcross％ ); total number of squares crossing ( Cross ); percentage of rears in the light area ( Lrear％ ); total number of rears (Rear); total score (Total); transitions between two areas (Transition); and number of fecal boli (Fbi). Subsequently,the intraclass correlation coefficient (ICC), the Kappa agreement coefficient (Kappa) and the Pearson correlation coefficient (Pearson) were calculated for these parameters. Results ①ICC for Lrear％ ( ICC =0.5207, P＜0.01 ) showed a fair reliability. ②Kappa for all parameters indicated a poor reliability. ③Pearson displayed weak negative correlations between Transition and Ltime％ ( Pearson = - 0.4030, P ＜ 0.05; Pearson =- 0. 1490, P＞ 0. 05 ), Lcross％ ( Pearson = - 0. 4331, P ＞ 0. 05; Pearson = - 0.1893, P ＞ 0.05 ), Lrear％ ( Pearson = - 0. 4485, P ＜ 0. 05; Pearson = 0. 02845, P ＞ 0. 05 ), however, fair positive correlations between Transition and Cross (Pearson =0. 8603, P＜0.01; Pearson =0.6341, P＜0. 01 ) ,Rear(Pearson =0.4271, P＞0. 05;Pearson = 0. 7245, P ＜ 0. 001 ). Conclusion Rear is found to be stable over time, and indicated a fair reliability.There is a weak negative correlation between Transition and Ltime％, Lcross％, Lrear％, but fair positive correlations between Transition and Cross, Rear.

ObjectiveTo explore the correlation between open field test(OFT) and light-dark box (LDB),as two animal models of state anxiety in Kunming mice.MethodsThe behavior of adult,male,Kunming mice in OFT and LDB was recorded by sequence,for five minutes,with a one-week inter-trial interval.The following parameters were evaluated:percentage of time exploring in the OFT central area( OFT-Ctime％ ) ; percentage of squares crossing in the OFT central area( OFT-Ccross％ ) ; total number of squares crossing in OFT(OFT-Cross) ;total number of rears in the OFT(OFT-Rear) ; number of fecal boli in OFT(OFT-FB) ; percentage of time exploring in the LDB light area( LDB-Ltime％ ) ; percentage of squares crossing in the LDB light area( LDB-Lcross％ ) ;and percentage of rears in the LDB light area( LDB-Lrear％ ) ; transitions between two areas in LDB( LDB-Transition) ; total number of squares crossing in LDB(LDB-Croas) ; total number of rears in LDB(LDB-Rear) ; number of fecal boli in LDB (LDB-FB).Subsequently,factor analysis,cluster analysis and correlation analysis were calculated for these parameters.ResultsFactor analysis and cluster analysis of variances from either OFT or LDB revealed a three behavioral dimensions:anxiety factor ( loaded by OFT-Ctime％,OFT-Ccross％ or LDB-Ltime％,LDB-Lcross％,LDB-Lrear％ ),activity factor ( loaded by OFT-Cross,OFT-Rear or LDB-Transition,LDB-Cross,LDB-Rear) and emotionality factor(loaded by OFT-FB or LDB-FB).While all the variances from both OFT and LDB in combination were analyzed,it could be seen as five components:' LDB-anxiety factor ( loaded by LDBLtime％,LDB-Lcross％ and LDB-Lrear％ ),' OFT-anxiety factor ( loaded by OFT-Ctime％ and OFT-Ccross％ ),'LDB-activity factor (loaded by LDB-Transition,LDB-Cross and LDB-Rear),'OFT-LDB-emotionality factor( loaded by OFT-FB and LDB-FB) and 'OFT-activity factor (loaded by OFT-Cross and OFT-Rear).Good correlation were found between OFT/LDB factors alone and in combination,such as OFT-emotionality factor and LDB-emotionality factor(Pearson =0.383,P＜0.05),LDB-anxiety factor and 'LDB-anxiety factor( Pearson =0.989,P＜0.01 ),OFT-anxiety factor and 'OFT-anxiety factor( Pearson =0.934,P ＜ 0.01 ),LDB-activity factor and 'LDB-activity factor ( Pearson =0.956,P ＜ 0.01 ),OFT/LDB-emotionality factor and ' OFT-LDB-emotionality factor ( Pearson =0.835,P＜0.01 ;Pearson =0.696,P＜0.01 ),OFT-activity factor and 'OFF-activity factor( Pearson =0.926,P＜0.01 ).ConclusionEither OFT or LDB comprised three behavioral dimensions:anxiety factor,activity factor and emotionality factor; however,it was difficult to establish face validity as a point-to-point concordance between OFT and LDB.Attention should be paid to heterogeneity of animal models when OFT and LDB were in combination as a behavionomics to evaluate anxiolytics in Kunming mice.

We present that the modern basic theory of traditional Chinese medicine is a new science in this article. To demonstrate the problem new discipline faced and needed to be understood, firstly we want to clear the related concepts of discipline and traditional Chinese medicine from an international perspective achieving the original inten-tion of deepening the research field, forming a discipline branch and towards modern teaching. Secondly, we explore the discipline classification system and in which the location of traditional Chinese medicine and theory of traditional Chinese medicine discipline, and then explore the discipline overall regularity of occurrence, development and demise focusing on regularity and evaluation criteria reveal of medicine and traditional Chinese medicine disciplines. On this basis, we demonstrate the discipline property and location of new scientific disciplines of modern basic theo-ry of traditional Chinese medicine, subjects and fields, direction and meaning and then draw a credible conclusion in accordance with deductive reasoning.

To clarify the meaning, role and significance of the new idea of the modern basic theory of traditional chinese medicine, We clarified its origin and evolution starting from the basic concept of idea in this paper, re-vealed the basic connotation and relationship of ideas, scientific ideas, Chinese medicine ideas, and the new ideas of the modern basic theory of traditional Chinese medicine, and tried to give proper definitions; summarized three roles of scientific ideas. According to this basis, we demonstrated the new idea is the scientific ideas with core spirit run-ning through rational questioning, scientific testing, research and conclusion being accepted three-point line cen-tral interlocking; and have three roles changing the theory of traditional chinese medicine, guiding the innovative research on chinese medicine and elevating the scholars' thoughts. We proposed yin and yang to refer to the hypothesis of body's physiology and pathology and prevention and treatment effects, given an empirical analysis a feasible way of medicine and philosophy separation and yin and yang turning to medicine; displayed the guidance of new idea and to show the scientific connotation and scientific value of the theory of traditional Chinese medicine.

This article was aimed to study the factors associated with sleep quality of anger-out and anger-in population based on the frequent pattern-tree (FP-Tree) growing algorithm with data mining. The algorithm of structuring frequent model FP-tree and mining frequent itemsets were designed. The database information scanned was recorded by using FP-Tree growing algorithm through state-trees. The frequent itemsets met minimum support required was generated through reducing the search space of project sets and scanning database only one. The data mining of all factors associated with emotional diseases was actualized. The results showed that factors associated with sleep quality of anger-out and anger-in population were disturbance in respiration, cough or snoring, feeling cold, hot or nightmares. The total time for program analysis was 2 seconds. It was concluded that data mining algorithm based on FP-Tree frequent itemsets can effectively realize the useful information receiving from factors associated with emotional diseases.