Objective To investigate the clinical safety and efficacy of predictive extracorporeal membrane oxygenation (ECMO) support during liver transplantation in high-risk recipients. Methods A single-center retrospective study was conducted. A total of 35 liver transplant recipients who underwent predictive ECMO assistance during surgery at the Second Affiliated Hospital of Guangxi Medical University from January 2021 to April 2025 were included. Baseline characteristics, ECMO application, ECMO operating parameters and hemodynamic conditions during ECMO operation were analyzed. The cumulative survival rate was calculated using the Kaplan-Meier method and survival curves were plotted. Results Veno-arterial ECMO in 35 recipients was established after induction of general anesthesia. The median ECMO operation time was 8.5 h, and the success rate of weaning from ECMO was 97%. The cardiac index (CI) during the non-liver period and the new liver period was higher than that before cannulation, and CI increased during the non-liver period and before weaning (all P<0.001). The mean invasive arterial pressure and central venous pressure remained stable. No ECMO-related complications occurred in the recipients. The average survival time was (25 ± 3) months. The main causes of death were severe pulmonary infection and multiple organ failure. Conclusions For liver transplant recipients with severe cardiopulmonary dysfunction, hemodynamic disorders, or multiple organ failure risk factors, implementing predictive ECMO support during liver transplantation through active risk prediction is a safe and effective circulatory guarantee strategy.

Objective:To assess the therapeutic efficacy and histopathological effect of photodynamic therapy (PDT) with intralesional injection of aminolevulinic acid (ALA) in a rat model of acneiform inflammatory nodules.Methods:Forty specific pathogen-free (SPF) SD rats were randomly and equally divided into normal control group, model control group, ALA injection group and topical ALA group. Rats in the normal control group received no treatment, and those in the other 3 groups were inoculated with Propionibacterium acne suspension on the right auricle for the establishment of a rat model of acneiform inflammatory nodules. After successful modeling, rats in the model control group received no other treatment, those in the ALA injection group were intranodularly injected with 5% ALA followed by red light irradiation, and those in the topical ALA group were topically treated with 5% ALA on the acneiform inflammatory nodules followed by red light irradiation. The treatment was performed once a week for 2 weeks. Twenty-four hours after the last treatment, general appearance and histopathological changes of rat ears were observed in each group, the thickness of rat auricles was measured, and liver and kidney functions were evaluated. Statistical analysis was carried out by using one-way analysis of variance and least significant difference- t test for comparisons among the groups. Results:The thickness of rat auricles significantly differed among the normal control group, model control group, topical ALA group and ALA injection group (0.435 ± 0.006, 1.269 ± 0.071, 1.088 ± 0.098, 0.699 ± 0.095 mm, respectively, F = 235.60, P < 0.001) , and was significantly higher in the model control group than in the normal control group, topical ALA group and ALA injection group ( t = 24.18, 5.24, 16.48 respectively, all P < 0.01) , but significantly lower in the ALA injection group than in the topical ALA group ( t = 11.24, P < 0.01) . Compared with the model control group, the topical ALA group and ALA injection group showed decreased degree of local redness and swelling as well as number of nodules on the rat auricle, and decreased quantity of infiltrating inflammatory cells in the dermis and subcutaneous tissues. Compared with the topical ALA group, nodules regressed more markedly in the ALA injection group, and no clumps of inflammatory cells or microabscesses were observed in the ALA injection group. There was no significant difference in levels of alanine aminotransferase, aspartate aminotransferase, creatinine or urea nitrogen among the 4 groups (all P > 0.05) . Conclusion:PDT with intralesional injection of ALA is more effective for the treatment of acneiform inflammatory nodules in rat models than PDT with topical application of ALA.

Objective:To analyze the antibody levels and dynamic changes in patients infected with 2019-novel coronavirus(2019-nCoV).Methods:The average age of 72 corona virus disease 2019 (COVID-19) patients was (45.53±16.74)years(median age:47 year), including (44.88±17.09) years(median age:46 year) for 38 males and (46.32±16.52)years (median age:46 year) for 34 females in Loudi City, Hunan Province. There is no significant difference in genders between the severe and mild groups (χ2=0.916, P>0.05). There is a significant difference in the age between the severe and mild groups ( F=3.315, P<0.05). The blood samples of 72 discharged patients were collected and the consistence of IgM and IgG antibodies were detected by chemiluminescence method. SPSS25.0 was used for gender, age, case type and antibody analysis of variance, χ 2 test and other analysis. Results:The average time of the serum samples collection of 72 patients was (34.89±9.02)days (median time: 34 days) from onset of COVID-19, and (14.53±8.35) days (median time: 14 days) from discharge. The positive rate of IgM or IgG was 97.22% (70/72), and the positive rate of IgM and IgG was 48.61% (35/72) and 97.22% (70/72) respectively. Serum COVID-19 antibodies were detected in 72 patients from 1st to 40th days after discharge. The average concentration of IgM in 1-7 days, 8-14 days, 15-21 days, 22-28 days, above 29 days were 21.91(7.07-52.84)AU/ml, 14.16(6.19-32.88)AU/ml, 11.36(6.65-42.15)AU/ml, 8.15(3.66-30.12)AU/ml, 2.98(0.46-6.37)AU/ml. There was no significant difference in the time of IgM antibody concentration ( H= 8.439, P>0.05). The average concentrations of IgG in 1-7 days, 8-14 days, 15-21 days, 22-28 days, 29 days and above were 169.90 (92.06-190.91) AU/ml, 163.89 (91.19-208.02) AU/ml, 173.31 (95.06-191.28) AU/ml, 122.84 (103.19-188.34) AU/ml, 101.98 (43.75-175.30) AU/ml, respectively, ( H=2.232, P>0.05). The IgM becomes negative after the 3rd week of discharge and decreases rapidly with time. The IgG concentration higher than IgM during the same period, and keep at high level without any change, and decrease in the fourth week. Among them, 5 cases developed "re-infection" within 1-3 weeks after discharge, and the rate of "re-infection" was 6.94% (5/72 cases). Conclusions:After the COVID-19 patients are discharged from the hospital, the level of antibodies produced varies greatly among individuals, but the overall changes in antibodies have a certain pattern. It is recommended to strengthen the antibody monitoring during hospitalization and after discharge from the hospital to reduce the "re-infection" rate and potential risk of infection.

Objective:To analyze the antibody levels and dynamic changes in patients infected with 2019-novel coronavirus(2019-nCoV).Methods:The average age of 72 corona virus disease 2019 (COVID-19) patients was (45.53±16.74)years(median age:47 year), including (44.88±17.09) years(median age:46 year) for 38 males and (46.32±16.52)years (median age:46 year) for 34 females in Loudi City, Hunan Province. There is no significant difference in genders between the severe and mild groups (χ2=0.916, P>0.05). There is a significant difference in the age between the severe and mild groups ( F=3.315, P<0.05). The blood samples of 72 discharged patients were collected and the consistence of IgM and IgG antibodies were detected by chemiluminescence method. SPSS25.0 was used for gender, age, case type and antibody analysis of variance, χ 2 test and other analysis. Results:The average time of the serum samples collection of 72 patients was (34.89±9.02)days (median time: 34 days) from onset of COVID-19, and (14.53±8.35) days (median time: 14 days) from discharge. The positive rate of IgM or IgG was 97.22% (70/72), and the positive rate of IgM and IgG was 48.61% (35/72) and 97.22% (70/72) respectively. Serum COVID-19 antibodies were detected in 72 patients from 1st to 40th days after discharge. The average concentration of IgM in 1-7 days, 8-14 days, 15-21 days, 22-28 days, above 29 days were 21.91(7.07-52.84)AU/ml, 14.16(6.19-32.88)AU/ml, 11.36(6.65-42.15)AU/ml, 8.15(3.66-30.12)AU/ml, 2.98(0.46-6.37)AU/ml. There was no significant difference in the time of IgM antibody concentration ( H= 8.439, P>0.05). The average concentrations of IgG in 1-7 days, 8-14 days, 15-21 days, 22-28 days, 29 days and above were 169.90 (92.06-190.91) AU/ml, 163.89 (91.19-208.02) AU/ml, 173.31 (95.06-191.28) AU/ml, 122.84 (103.19-188.34) AU/ml, 101.98 (43.75-175.30) AU/ml, respectively, ( H=2.232, P>0.05). The IgM becomes negative after the 3rd week of discharge and decreases rapidly with time. The IgG concentration higher than IgM during the same period, and keep at high level without any change, and decrease in the fourth week. Among them, 5 cases developed "re-infection" within 1-3 weeks after discharge, and the rate of "re-infection" was 6.94% (5/72 cases). Conclusions:After the COVID-19 patients are discharged from the hospital, the level of antibodies produced varies greatly among individuals, but the overall changes in antibodies have a certain pattern. It is recommended to strengthen the antibody monitoring during hospitalization and after discharge from the hospital to reduce the "re-infection" rate and potential risk of infection.

Objective To proceed deep data mining in large database obtained by Cancer Genome Anatomy Project and to distinguish the difference expression genes of gastric carcinoma.Methods The 300,783 serial analysis of gene expression records from 4 libraries of gastric cancer and 2 libraries of normal gastric tissue in database of the Cancer Genome Anatomy Project were analyzed by digital gene expression displayer.Results The 201 difference expression tags represented 136 genes(54 up-regulated and 82 down-regulated) and 65 ESTs(24 up-regulated and 41 down-regulated) were distinguished,and these genes were involved in biological process and signal transduction pathways,such as cell cycle regulation,cell proliferation and apoptosis.The gene expression profile in whole body normal and cancer tissues of PTMA were constructed by digital Northern based on serial analysis of gene expression database and by virtual Northern based on cDNA database,respectively.Conclusion The difference expression genes of gastric cancer can be distinguished effectively with bioinformatics,and the results will guide our further molecular biology research.If validated by molecular biology experiment,the difference expression genes will be used as molecular targets of gastric carcinoma.