To reconstruct 3 D images of microstructure and ultrastructure of regenerated sciatic nerve of rats with serial cross sections. The 6 mm defects of the sciatic nerve of 90 Wistar rats were bridge connected with silicone tube and were sampled at 3, 7, 15, 30, 60, 90 days respectively after injury. The images of optical and electronic microscope were taken by micro photograph system and scanner, then they were input into the computer, by which the image registration and segmentation were completed. The direct volume rendering model was used to realize the 3 D reconstruction and display. The results showed the morphological changes in degenerated and regenerated sciatic nerve fibres and their appendicular structures could be observed with the 3 D images. It is suggested that the reconstructing results could reveal the differences between the regenerated and normal sciatic nerve fibres of rats intuitively and visually, so it could be used as a new method in the study of peripheral nerve injury.

Background: Few studies of breast cancer surgery outcomes have used longitudinal data for more than 2 years. This study aimed to validate the use of the artificial neural network (ANN) model to predict the 5-year mortality of breast cancer patients after surgery and compare predictive accuracy between the ANN model, multiple logistic regression(MLR) model, and Cox regression model.Methods: This study compared the MLR, Cox, and ANN models based on clinical data of 3632 breast cancer patients who underwent surgery between 1996 and 2010. An estimation dataset was used to train the model, and a validation dataset was used to evaluate model performance. The sensitivity analysis was also used to assess the relative significance of input variables in the prediction model.Results: The ANN model significantly outperformed the MLR and Cox models in predicting 5-year mortality, with higher overall performance indices. The results indicated that the 5-year postoperative mortality of breast cancer patients was significantly associated with age, Charlson comorbidity index (CCI), chemotherapy, radiotherapy, hormone therapy, and breast cancer surgery volumes of hospital and surgeon (all P < 0.05). Breast cancer surgery volume of surgeon was the most influential (sensitive) variable affecting 5-year mortality, followed by breast cancer surgery volume of hospital, age, and CCI.Conclusions: Compared with the conventional MLR and Cox models, the ANN model was more accurate in predicting 5-year mortality of breast cancer patients who underwent surgery. The mortality predictors identified in this study can also be used to educate candidates for breast cancer surgery with respect to the course of recovery and health outcomes.

INTRODUCTION: Frontline healthcare workers (HCWs) exposed to coronavirus disease 2019 (COVID-19) are at risk of psychological distress. This study evaluates the psychological impact of COVID-19 pandemic on HCWs in a national paediatric referral centre. METHODS: This was a survey-based study that collected demographic, work environment and mental health data from paediatric HCWs in the emergency, intensive care and infectious disease units. Psychological impact was measured using the Depression, Anxiety, Stress Scale-21. Multivariate regression analysis was performed to identify risk factors associated with psychological distress. RESULTS: The survey achieved a response rate of 93.9% (430 of 458). Of the 430 respondents, symptoms of depression, anxiety and stress were reported in 168 (39.1%), 205 (47.7%) and 106 (24.7%), respectively. Depression was reported in the mild (47, 10.9%), moderate (76, 17.7%), severe (23, 5.3%) and extremely severe (22, 5.1%) categories. Anxiety (205, 47.7%) and stress (106, 24.7%) were reported in the mild category only. Collectively, regression analysis identified female sex, a perceived lack of choice in work scope/environment, lack of protection from COVID-19, lack of access to physical activities and rest, the need to perform additional tasks, and the experience of stigma from the community as risk factors for poor psychological outcome. CONCLUSION A high prevalence of depression, anxiety and stress was reported among frontline paediatric HCWs during the COVID-19 pandemic. Personal psychoneuroimmunity and organisational prevention measures can be implemented to lessen psychiatric symptoms. At the national level, involving mental health professionals to plan and coordinate psychological intervention for the country should be considered.
Adult ; Anxiety/etiology* ; COVID-19/psychology* ; Depression/etiology* ; Female ; Health Surveys ; Hospitals, Pediatric ; Humans ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Occupational Diseases/etiology* ; Pandemics ; Personnel, Hospital/psychology* ; Prevalence ; Risk Factors ; Self Report ; Severity of Illness Index ; Singapore/epidemiology* ; Stress, Psychological/etiology*

Objective: A meta-analysis of locus-based genome-wide association studies recently identified a relationship between AXIN1 and Parkinson’s disease (PD). Few studies of Asian populations, however, have reported such a genetic association. The influences of rs13337493, rs758033, and rs2361988, three PD-associated genetic variants of AXIN1, were investigated in the present study because AXIN1 is related to Wnt/β-catenin signaling. Methods: A total of 2,418 individuals were enrolled in our Taiwanese cohort for analysis of the genotypic and allelic frequency. Polymerase chain reaction–restriction fragment length polymorphism analysis was employed for rs13337493 genotyping, and the Agena MassARRAY platform (Agena Bioscience, San Diego, CA, USA) was used for rs758033 and rs2361988 genotyping in 672 patients with PD and 392 controls. Taiwan Biobank data of another 1,354 healthy controls were subjected to whole-genome sequencing performed using Illumina platforms at approximately 30× average depth. Results: Our results revealed that rs758033 {odds ratios [OR] (95% confidence interval [CI]) = 0.267 [0.064, 0.795], p = 0.014} was associated with the risk of PD, and there was a trend toward a protective effect of rs2361988 (OR [95% CI] = 0.296 [0.071, 0.884], p = 0.026) under the recessive model. The TT genotype of rs758033 (OR [95% CI] = 0.271 [0.065, 0.805], p = 0.015) and the CC genotype of rs2361988 (OR [95% CI] = 0.305 [0.073, 0.913], p = 0.031) were less common in the PD group than in the non-PD group. Conclusion Our findings indicate that the rs758033 and rs2361988 polymorphisms of AXIN1 may affect the risk of PD in the Taiwanese population.

OBJECTIVETo evaluate the serological markers and biological marker in the diagnosis of hepatitis E infection in a rhesus monkey model.

METHODS86 rhesus monkeys had been infected with different doses of HEV. Hence, they were taken sequential blood samples at intervals up to 86 weeks for 4 hepatitis E virus (HEV) specific antibody assays (E2-IgM, E2-IgG, GL-IgG, and YES-IgG), and nucleic acid assay.

RESULTSAll the animals produced E2-IgG and all but one also produced E2-IgM and excreted the virus in stool, whereas positive rate of GL-IgG and YES IgG were low and correlated with virus level. Hepatitis occurred over a period of 4 weeks (between 3 an 7 weeks) after infection. Virological marker occurred mainly during incubation period and declined rapidly after onset of hepatitis. Seroconversion of E2-IgM occurred before onset of hepatitis in 70% monkeys and declined rapidly up to 50% of peak value after 4 weeks. E2-IgM seroconversion was closely paralleled by E2-IgG; however, E2-IgG persisted in all animals for the entire duration of experiment of up to 86 weeks. Production of GL-IgG and YES-IgG was delayed by one week after the E2 antibodies, these antibodies showed a transient occurrence and seroprevalence declined to 50% of the peak value over a period of 12 weeks.

CONCLUSIONE2-IgM might be used as a suitable acute hepatitis E marker, and E2-IgG as a suitable epidemiological marker. The seroconversion or titer elevation of GL-IgG and YES-IgG antibodies probably used to confirm the infection. The viral markers are optional for early diagnosis.

Alanine Transaminase ; blood ; Animals ; Biomarkers ; Genotype ; Hepatitis Antibodies ; blood ; Hepatitis E ; diagnosis ; Hepatitis E virus ; classification ; genetics ; immunology ; Immunoglobulin E ; blood ; Immunoglobulin M ; blood ; Macaca mulatta