Objective To examine loss of heterozygosity(LOH) and microsatellite instability(MSI) of locus D8S277 on chromosome 8 and their influence on the expression of PINX1 in the gastric carcinoma,which may provide an experimental basis for the mechanism of PINX1 gene and tumor development.Methods DNA was extracted from formalin-fixed paraffin-embedded tissues.Polymerase chain reaction-single strand conformation polymorphism(PCR-SSCP) and ordinary silver staining were used to study LOH and MSI of locus D8S277.Envision immunohistochemistry and Leica-Qwin computer imaging techniques were used to assess the expression of PINX1.Results The frequency of LOH was significantly higher in the cases with lymph node metastasis than in those without metastasis(21.15% vs 0,P

Objective To observe the effect of edaravone combined with Plantula Ixeridis Sonchifoliae(PIS) on relieving neurologic impairment symptoms of patients with acute cerebral infarction(ACI).Methods Ninety-two ACI patients were equally randomized into the treatment group and the control group.The two groups were given routine western medical treatment such as use of aspirin and neurotrophic drugs,and decreasing intracranial pressure and symptomatic treatment for large-size cerebral ischemia.Additionally,the treatment group received intravenous injection of edaravone injection plus PIS injection,and the control group received PIS injection.Fourteen days constituted one treatment course,and the treatment lasted 2 courses.The score of neurologic impairment was evaluated with European Stroke Scale(ESS),and the score of activities of daily life(ADL) was observed before treatment,and after one and two treatment course(s).The adverse reaction was recorded during the treatment.Results At the end of the first treatment course,the scores of ESS and ADL were improved in both groups(P0.05).At the end of the second treatment course,the scores of ESS and ADL were markedly improved in both groups(P

Objective: To investigate the early immune effects of rabies vaccine combined with human rabies immunoglobulin (HRIG). Methods: Rapid fluorescent focus inhibition test (RFFIT) was used to test the titers of rabies virus neutralizing antibodies (RVNA). The titers of RVNA of persons who had exposed to rabies at degree III on day 0, day 1, day 7, day 14 and day 45 were compared. The dynamic curves and seroconversion rates (SCR) of RVNA in persons of different genders, age and vaccine regimens (Essen and Zagreb) groups were analyzed. Results: No significant differences of SCR among different genders, age and vaccine regimens groups were observed on the same day. SCR could be 100% on day14 in different groups. The dynamic curves of RVNA within the first 14 days showed the models of gradual rise, rapid rise and rapid decline. Conclusions The dynamic curves of RVNA within the first 14 days varied when rabies vaccines were used in combination with HRIG, and not all subjects were proved to be protected based on the RVNA detection within this period.

Objective: To investigate the association between the time of neutrophils to the lowest and prognosis of patients with esophageal squamous cell carcinoma (ESCC) treated with non-operative therapy. Methods: The clinical data of 325 non-operative treated ESCC patients were collected in this study. The X-title software was applied to establish optimal threshold of neutrophil reduction to the lowest value. According to the optimal threshold, the patients were divided into early group (115 cases) and late group (210 cases). The clinical features and survival time of the two groups were compared, and the factors of prognosis were analyzed by Cox regression model with univariate and multivariate analysis. Results: The X-title software demonstrated the optimal cutoff values for the time of neutrophils to the lowest was 39 days. The median overall survival time was 21.0 months in the early group which was significantly higher than that in the late group (16.0 months). Multivariate Cox regression analysis showed that the treatment methods and the time of neutrophils to the lowest were independent factors for overall survival of patients with ESCC treated by non-surgical therapy. Compared with radiotherapy alone, concurrent chemoradiation could benefit the survival (HR=0.64, P=0.026). The prognosis of patients in the late group of neutrophils to the lowest (HR=1.38, P=0.038) was poor compared with the early group. Furthermore, stratified by treatment methods, the overall survival of two groups showed statistically significant difference only in patients received concurrent chemoradiation. The mortality risk in the late group was higher than that in the early group (HR=3.53, P=0.010). Conclusion The time of neutrophils to the lowest is an independent prognosis factor for non-operative treated ESCC patients. The prognosis of patients in the early group is better than that in the late group.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.