Objective: To study immune tolerance state to heterologous- transplanted tumor of human stomach cancer in Syria Hamsters. Methods: Syria hamsters within 24 hous after bom were intraperitoneally inoculated primary BCC-823 cells of human stomach cancer to establish the tumor model.Lymphocyte transformation test and complement dependent cytotoxicity test were performed. Lymphocytic infiltration from host in tumor transplanted was observed.Some neonatal Syria Hamsers were intraperitoneally inoculated dead primary cells of human stomach cancer to induce immune tolerance, and then re-inoculated subcutaneously live cells at three-week age. Tumor growth was observed and its relationship to immune inhibitory factor secreted from the tumor transplanted was studied.Results:Tumor cells from transplantation failed to induce the lymphocyte transformation of tumor-carrying Syrian hamsters and the serum from tumor-carrying Syrian hamsters couldn't cause complement dependent cytotoxicity to tumor cells of transplantation.The infiltration of of lymphocyte from host was not found in the tumor transplanted.The re-inoculation with live human stomach cancer cells in Syria hamsters at three-week age succeeded in inducing tumor after immune tolerance was induced by inoculatin dead cells. Conclusion: The Syria hamster after the inoculation of tumor cells has produced specific immune tolerance to transplanted tumor.

Objective:To study feasibility of preparing artificial antigen by membrane coated with hapten-carrier.To compare the Emodin-BSA membrane antigen immunogenicity and specificity against the liquid antigen.Methods:Emodin-BSA-PVDF membrane was prepared by the method that BSA was coated on PVDF membrane and the BSA was coupled with Emodin-couplint agent derivative.Rats were immunized by subcutaneous implantation.The immunogenicity and antibody specificity were characterized using Emodin-CA or Chrysophanol-CA or Physcion-CA membrane immunoassay. Results: The immunogenicity of Emodin-BSA coated membrane antigen was higher than Emodin-BSA liquid antigen;the specificity for three anthraquinones was almost the same(P>0.05). Conclusion:Emodin antiserum generated using Emodin-BSA coated membrane antigen has a high immunogenicity and specificity to Emodin.The results show it is feasible that membrane coated with hapten-carrier is used as artificial antigen.

Objective To explore the correlation between the glucose variability and the severity of acute isolated traumatic brain injury(TBI). Method According to the inclusion/exclusion criteria,a total of 125 cases of acute isolated TBI admitted in Department of Neurosurgery of China Medical University from July 2012 to June 2015 were included. According to Glasgow coma scale(GSC),the patients were divided into five groups including control(GCS 15),mild(GCS 13?14),moderate(GCS 9?12),severe(GCS 6?8),and extra?severe(GCS 3?5)groups. Blood glucose control(including relief of the stress and the application of insulin)were carried out immediately. The average,standard deviation,and variation co?efficient of blood glucose of all groups were recorded at admission,48 hours and 3?7 days after hospitalization. The clinical records and glycemic in?dex were compared among different groups and during different periods,so as to analyze the relationship of the variability of glucose and the duration of hyperglycemia with the severity of TBI and the effects of glycemic intensive care management. Results The results of Kruskal Wallis test and Mann?Whitney Utest showed that the average,standard deviation,and variation coefficient of glucose in the extra?severe group and the severe group were statistically higher than those in the control group(P<0.05)during the same period. Meanwhile,the average,standard deviation,and variation coefficient of glucose at admission,48 hours and 3?7 days after hospitalization were also different among each group(P<0.05). The duration of hy?perglycemia and conscious disturbance in both the extra?severe group and the severe group were longer than those in the control(P<0.05). The analyses using rank correlation indicated that glucose variability,the level and duration of hyperglycemia were positively correlated with the severity of TBI(r>1). Conclusion The glucose variability in acute isolated TBI patients could be considered as the index of the severity of TBI.

A new variant of concern for SARS-CoV-2,Omicron(B.1.1.529),was designated by the World Health Organization on November 26,2021.This study analyzed the viral genome sequenc-ing data of 108 samples collected from patients infected with Omicron.First,we found that the enrichment efficiency of viral nucleic acids was reduced due to mutations in the region where the primers anneal to.Second,the Omicron variant possesses an excessive number of mutations compared to other variants circulating at the same time(median:62 vs.45),especially in the Spike gene.Mutations in the Spike gene confer alterations in 32 amino acid residues,more than those observed in other SARS-CoV-2 variants.Moreover,a large number of nonsynonymous mutations occur in the codons for the amino acid residues located on the surface of the Spike protein,which could potentially affect the replication,infectivity,and antigenicity of SARS-CoV-2.Third,there are 53 mutations between the Omicron variant and its closest sequences available in public databases.Many of these mutations were rarely observed in public databases and had a low muta-tion rate.In addition,the linkage disequilibrium between these mutations was low,with a limited number of mutations concurrently observed in the same genome,suggesting that the Omicron vari-ant would be in a different evolutionary branch from the currently prevalent variants.To improve our ability to detect and track the source of new variants rapidly,it is imperative to further strengthen genomic surveillance and data sharing globally in a timely manner.

COVID-19 has swept globally and Pakistan is no exception.To investigate the initial introductions and transmissions of the SARS-CoV-2 in Pakistan,we performed the largest genomic epidemiology study of COVID-19 in Pakistan and generated 150 complete SARS-CoV-2 genome sequences from samples collected from March 16 to June 1,2020.We identified a total of 347 mutated positions,31 of which were over-represented in Pakistan.Meanwhile,we found over 1000 intra-host single-nucleotide variants(iSNVs).Several of them occurred concurrently,indicating possible interactions among them or coevolution.Some of the high-frequency iSNVs in Pakistan were not observed in the global population,suggesting strong purifying selections.The genomic epidemiology revealed five distinctive spreading clusters.The largest cluster consisted of 74 viruses which were derived from different geographic locations of Pakistan and formed a deep hierarchical structure,indicating an extensive and persistent nation-wide transmission of the virus that was probably attributed to a signature mutation(G8371T in ORF 1ab)of this cluster.Further-more,28 putative international introductions were identified,several of which are consistent with the epidemiological investigations.In all,this study has inferred the possible pathways of introduc-tions and transmissions of SARS-CoV-2 in Pakistan,which could aid ongoing and future viral surveillance and COVID-19 control.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.