Objective · To investigate association between serum 25-hydroxyvitamin D3 [25(OH)D3] level and diabetic peripheral neuropathy (DPN) in elderly patients with type 2 diabetes mellitus and explore its value in clinical practice for early screening and prevention of DPN. Methods · A total of 188 elderly patients with type 2 diabetes mellitus were enrolled in this cross-sectional study, including 100cases with DPN and 88 cases without. Clinical data was collected and serum levels of 25(OH)D3, glycosylated hemoglobin (HbA1c), blood lipids and hepatic and renal functions were determined in all patients. Spearman correlation analysis was used to evaluate relationship between each index and 25(OH)D3, and Logistic regression was used for statistical analysis of risk factors for DPN. Results · The median of serum 25(OH)D3 level was significantly lower in the patients with DPN (34.95 nmol/L) than that of the patients without DPN (52.6 nmol/L)(P<0.01). Spearmancorrelation analysis showed that there existed a negative correlation between the level of 25(OH)D3 and age, HbA1c and fasting blood glucose (r=-0.37, -0.53, and -0.29, respectively, P<0.01). The multiple Logistical regression analysis revealed that the 25(OH)D3 level was an independent risk factor for DPN. The odds ratio of serum 25(OH)D3 was 15.5 (OR=15.50, 95% CI=2.00 ~ 119.62) for the lowest quartile versus the highest quartile. Conclusion · The decreased level of 25(OH)D3 may increase risks for the occurrence of DPN in the elders with type 2 diabetes mellitus and monitoring the level of 25(OH)D3 contributes to early detection of DPN.

BACKGROUND:SIRT6/NF-κB is the important signal axis to cellsenescence, but the effect of SIRT6/NF-κB signal axis to hematopoietic stem and progenitor cell(HSC/HPC) senescence is unclear. OBJECTIVE:To induce (t-BHP) in vitro and to investigate the role of SIRT6/NF-κB signal axis in Sca-1+HSC/HPC senescence induced by tert-butylhydroperoxide in vitro. METHODS:Sca-1+HSC/HPC was isolated and purified by magnetic activated cellsorting. Sca-1+HSC/HPC senescence was induced by 100μmol/L tert-butylhydroperoxide in vitro. The senescence-associatedβ-Galactosidase staining, cellcycle analysis and culture of mixed hematopoietic progenitor cellwere used to investigate the biological effects of tert-butylhydroperoxide on Sca-1+HSC/HPC senescence. The expression of senescence associated SIRT6, NF-κB mRNA and protein was examined by real-time fluorescence quantitative PCR and western blot assay. RESULTS AND CONCLUSION:Compared with control group, the percentage of positive cells expressing SA-β-Gal and cells in G0/G1 phase increased and the number of forming colony of mixed hematopoietic progenitor decreased in the aging group. It showed lower expression of SIRT6 and higher expression of NF-κB in the aging group. The SIRT6/NF-κB signal axis may play a key role in the Sca-1+ HSC /HPC senescence inducted by tert-butylhydroperoxide.

Objective To investigate the relationship between the expression of Fascin and breast cancer prognosis. Methods Paraffin sections of breast cancer from 110 patients were investigated by immunohostochemistry with monoclonal anti-fascin antibody. Data of the Fascin expression and clinicopathological variables were analyzed for disease-free survival(DFS)and overall survival(OS)by Kaplan-miere and cox model. Results The expression of Fascin was significantly associated with ER negative,PR negative and lymph node metastasis,but not with age,HER2 status and tumor size. The patients with positive expression of Fascin had shorter disease free survival time than those without Fascin expression. Conclusion High expression of Fascin is associated with poor prognosis in breast cancer. Fascin is an independent prognostic indicator of disease-free survival time.

Sarcopenia is a systemic syndrome characterized by decreased muscle mass and muscle strength and decline of motor function.Sarcopenia affects quality of life and disease prognosis of patients seriously, because of the low awareness rate, low treatment rate and high cardiovascular risk. Patients with uremia undergoing peritoneal dialysis are likely to suffer from sarcopenia due to dietary restriction, loss of protein and high catabolism. This article summarizes the diagnostic methods, risk factors, predictive markers and intervention measures for sarcopenia in peritoneal dialysis patients.

Objective:To develop and validate an artificial intelligence (AI) diagnostic model for coronary artery disease based on facial photos.Methods:This study was a cross-sectional study. Patients who were scheduled to undergo coronary angiography (CAG) at Beijing Anzhen Hospital and Beijing Daxing Hospital from August 2022 to November 2023 were included consecutively. Before CAG, facial photos were collected (including four angles: frontal view, left and right 60° profile, and top of the head). Photo datasets were randomly divided into a training set, a validation set (70%), and a testing set (30%). The model was constructed using Masked Autoencoder (MAE) and Vision Transformer (ViT) architectures. Firstly, the model base was pre-training using 2 million facial photos obtained from the publicly available VGGFace dataset, and fine-tuned by the training and validation sets; the model was validated in the test set. In addition, the ResNet architecture was used to process the dataset, and its outputs were compared with those of the models based on MAE and ViT. In the test set, the area under the operating characteristic curve ( AUC) of the AI model was calculated using CAG results as the gold standard. Results:A total of 5 974 participants aged 61 (54, 67) years were included, including 4 179 males (70.0%), with a total of 84 964 facial photos. There were 79 140 facial photos in the training and validation sets, with 3 822 patients with coronary artery disease; there were 5 824 facial photos in the test set, with 239 patients with coronary artery disease. The AUC value of the MAE and ViT model initialized with pre-training model weights was 0.841 and 0.824, respectively. The AUC of the ResNet model initialized with random weights was 0.810, while the AUC of the ResNet model initialized with pre-training model weights was 0.816. Conclusion:The AI model based on facial photos showes good diagnostic performance for coronary artery disease and holds promise for further application in early diagnosis.

OBJECTIVE: To investigate the prevalence and influencing factors of low back pain in workers in automobile manufacturing plants. METHODS: A judgment sampling method was used to select 394 workers with working length ≥1 year in an automobile manufacturing plant as study subjects. A questionnaire survey was conducted to investigate the prevalence of low back pain in these workers using the Nordic Musculoskeletal Disorders Questionnaire. RESULTS: The prevalence of low back pain in these study subjects was 28. 9%( 114/394). The multivariate logistic regression analysis results showed that the relative risk ranked from high to low is as follow: uncomfortable working posture [Odds ratio( OR) =7. 31,95% confidence interval( 95% CI) = 2. 92-18. 28],feeling tired after work( OR = 5. 34,95% CI = 1. 22-23. 32],the commu time more than 30 minutes( OR = 2. 76,95% CI = 1. 38-5. 52),insufficient operating space( OR = 2. 22,95% CI = 1. 28-3. 83),hand or arm frequently used at work( OR = 2. 08,95% CI = 1. 14-3. 78) and age( OR = 2. 00,95% CI = 1. 19-3. 35),that were all risk factors of low back pain( P < 0. 05). CONCLUSION: The frequent use of hand or arm at work,insufficient operating space,uncomfortable working posture,feeling tired after work,and long commute time are the main influencing factors affecting the low back pain of automobile manufacturing workers.