Objective: To establish an accurate and rapid typing method for Rh typing of samples from patients who have received recent blood transfusions by utilizing the difference in osmotic fragility between fresh and old red blood cells. Methods: A lysing solution suitable for destroying old RBCs was prepared. Sixty-one samples collected in our hospital in 2024 with Rh typing of double groups were treated with the lysing solution to remove the old allogeneic red blood cells while preserving the patient's own fresh red blood cells, followed by repeat Rh typing tests. Results: For 61 samples with Rh typing in double groups, 41 were accurately detected identified through the red blood cell lysis method, yielding an identification rate of 67.21%. No significant difference was observed compared to the detection rate of the commonly used capillary centrifugation modified method (χ =0.103, P>0.05). Conclusion: The red blood cell lysis method provides a novel and rapid experimental approach for clinical use in processing Rh-typed samples that are of double groups, thereby offering a basis for Rh compatibility blood transfusion.

Objective:To prepare a novel ginseng polypeptide thermosensitive hydrogel,and to investigate its repair effect on heat-induced skin injury in the rats and explore the underlying mechanisms.Methods:Thermosensitive hydrogels were formulated using Pluronic F127 and β-sodium glycerophosphate(β-GP),and their phase transition temperatures,spatial structures,elemental compositions,and water retention capacities were evaluated.The rat models of heat-induced skin injury were established and the model rats were divided into PBS group,Gel group,and ginseng polypeptide gel(GP-Gel)group.After 11 d of treatment,the morphological changes of wound and collagen deposition in the wound of the rats in various groups were observed by HE and Masson staining.Immunohistochemistry was used to detect the expression levels of α-smooth muscle actin(α-SMA),connective tissue growth factor(CTGF),basic fibroblast growth factor(bFGF),proliferating cell nuclear antigen(PCNA),cell proliferation marker Ki67,epidermal growth factor(EGF),CD31,vascular endothelial growth factor(VEGF),P50 and P65 proteins in the skin wound tissue of the rats in various groups.Western blotting method was used to detect the expression levels of Toll-like receptor 4(TLR4)in the skin wound tissue of the rats in various groups.ELISA method was used to measure the levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),interleukin-6(IL-6),interleukin-15(IL-15),and interleukin-10(IL-10)in the serum of the rats in various groups.Results:Compared with PBS and Gel groups,the wound area of the rats in GP-Gel group was reduced(P＜0.01),the expression levels of PCNA,Ki67,EGF,CD31,VEGF,α-SMA,and CTGF proteins in the skin wound tissue were increased(P＜0.05 or P＜0.01),and the expression levels of P65 and TLR4 proteins were decreased(P＜0.01);the level of anti-inflammatory factor IL-10 in serum was increased(P＜0.01),while the levels of pro-inflammatory factors TNF-α,IL-1β,IL-6 and IL-15 were decreased(P＜0.05 or P＜0.01).Conclusion:The ginseng polypeptide thermosensitive hydrogel promotes the repair of heat-induced skin injury by enhancing cell proliferation,collagen synthesis,angiogenesis,and reducing inflammatory responses.

OBJECTIVES: To identify potential molecular targets of quercetin in the treatment of clear cell renal carcinoma (ccRCC). METHODS: The therapeutic targets of quercetin were screened from multiple databases by network pharmacology analysis, and the targets significantly correlated with ccRCC were screened from 4907 plasma proteins using a Mendelian randomization method. The drug-disease network model was constructed to screen the potential key targets. The functions of these targets were evaluated via bioinformatics analysis, and the screened targets were verified in cultured ccRCC cells. RESULTS: Network pharmacology analysis combined with Mendelian randomization identified TP53 (OR=3.325, 95% CI: 1.805-6.124, P=0.0001), ARF4 (OR=0.173, 95% CI: 0.065-0.456, P=0.0003), and DPP4 (OR=0.463, 95% CI: 0.302-0.711, P=0.0004) as the core targets in quercetin treatment of ccRCC. Bioinformatics analysis showed that TP53 was highly expressed in ccRCC, and patients with high TP53 expressions had worse survival outcomes. Molecular docking studies showed that the binding energy between quercetin and TP53 was -5.83 kcal/mol. In cultured 786-O cells, CCK-8 assay and wound healing assay showed that treatment with quercetin significantly inhibited cell proliferation and migration. Quercetin treatment also strongly suppressed the expression of TP53 at both the mRNA and protein levels in 786-O cells as shown by RT-qPCR and Western blotting. CONCLUSIONS TP53 may be the key target of quercetin in the treatment of ccRCC, which sheds light on potential molecular mechanism that mediate the therapeutic effect of quercetin.
Humans ; Quercetin/pharmacology* ; Carcinoma, Renal Cell/genetics* ; Cell Proliferation/drug effects* ; Kidney Neoplasms/genetics* ; Cell Movement/drug effects* ; Tumor Suppressor Protein p53/metabolism* ; Cell Line, Tumor ; Computational Biology

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

Objective To conduct an in-depth analysis and feature extraction of the transcriptomics data of 10 types of cancers in order to realize the staging diagnosis of cancer samples.Methods The transcriptomics data of the top 10 cancers having the highest incidence were amassed from the UCSC Xena website,which comprised 4 938 samples and 59 428 genes.With the aid of variational autoencoder,we developed an incremental feature ranking and selection variational autoencoder(IFRSVAE)based on feature importance ranking and incorporating the masking algorithm and the Incremental Feature Selection(IFS).Subsequently,the performance efficiency of our IFRSVAE model was evaluated in conjunction with Random Forest(RF),Support Vector Machine(SVM),and eXtreme Gradient Boosting(XGboost),and it was also compared with other methods.Results Our research extracted 21 features for the ensuing classification.In comparison to the conventional variational autoencoder,recursive feature elimination,and Lasso regression models,the IFRSVAE model attained more favorable performance across all 3 classifiers(highest AUC value,and well performed other indicators).Notably,the IFRSVAE-RF exhibited the most outstanding performance,with an AUC value reaching 85.49%(95%CI:83.24%～87.74%).Moreover,Shapley additive explanations(SHAP)interpretable model illustrated well contributions of the features in our model.Conclusion Our developed IFRSVAE shows certain effectiveness in feature extraction.The constructed IFRSVAE-RF model demonstrates relatively good performance in the task of cancer staging diagnosis,which providing a new and referable idea for research orientation of deep-learning-based diagnostic methods for cancer staging.

Objective:To analyze the salary satisfaction and influencing factors of medical staff in public hospitals in Guangxi under the background of salary system reform, and to provide suggestions for deepening the salary system reform of public hospitals in Guangxi.Methods:From July to December 2022, medical staff from 39 public hospitals that have carried out salary system reform were selected through stratified random sampling, and self-made questionnaires were used to survey them, which mainly included salary, salary expectations and salary satisfaction. Descriptive analysis of the questionnaire data was performed, and binary logistic regression was used to analyze the influencing factors of salary satisfaction.Results:A total of 10 299 valid questionnaires were obtained. 6 869 (66.7%) medical staff had a lower average monthly income after tax than those employed in urban non-private units in Guangxi in that year; 8 100 (78.6%) medical staff expected to be paid 30%~50% higher than the current salary level; 4 073 (39.5%) were satisfied with the overall salary satisfaction, of which 2 377 (23.1%) were satisfied with the salary increase after the reform of the salary system in 2017. The results of multivariate analysis showed that education, hospital type, hospital level, professional title, position and job type were the main influencing factors of salary satisfaction of medical staff ( P<0.05), and hospital level interacted with education, hospital type and job type respectively ( P<0.05). Conclusions:The external competitiveness of the salary of medical staff in Guangxi was insufficient, and the salary satisfaction was not high. It is suggested to pay attention to the inter-embeddedness of the reform of the salary system and the reform of the " three-medical linkage" , pay attention to the balanced development of different levels and types of hospitals, scientifically calculate the value coefficient of different positions, and effectively improve the salary level of medical staff.

Objective:Using the impact of chronic graft-versus-host disease (cGVHD) on overall survival after hematopoietic stem cell transplantation as an example, this study aims to introduces and critically appraises five statistical approaches for handling time-dependent events in survival analysis.Methods:This study was based on data from the Center for International Blood and Marrow Transplant Research (CIBMTR) GV18-03 study. A total of 4361 patients with acute myeloid leukemia or myelodysplastic syndrome were included, who were aged ≥40 years and had received an HLA 8/8 matched sibling donor transplant between 2008 and 2017. Five analytical approaches were used, treating cGVHD as: ① a baseline fixed covariate, ② a time-dependent covariate, ③ a time-dependent event via landmarking analysis, ④ a transitional event in a multi-state model, and ⑤ an exposure in the parametric g-formula. For each approach, we presented its core concept and results, and elaborated on its rationale, strengths, limitations, and applicable scenarios.Results:The five approaches showed significant differences in bias control, modeling flexibility, and clinical interpretability. Method 1 was prone to immortal time bias. Method 2 partially corrected this bias but was vulnerable to informative censoring and estimation instability due to insufficient sample sizes in the early-onset cGVHD group. Method 3 was straightforward but dependent on a predefined landmark time point and unable to account for cGVHD occurring after this point. Method 4 allowed for a comprehensive description of the impact of time-dependent events on survival prognosis by modeling dynamic clinical transitions. Method 5 could simultaneously handle both time-dependent events and confounders, making it suitable for estimating population-level effects of specific exposure strategies.Conclusion:Researchers should select the appropriate method based on their specific study objectives to ensure that the estimation of the impact of time-dependent events on outcomes is both statistically valid and clinically meaningful.

Objective:To explore the effect of ginsenoside Rg1 on spermatogenic dysfunction in mice caused by diabetes and its mechanism of action.Methods:Eighteen male C57BL mice were randomly divided into control group, the model group and the ginsenoside Rg1 group by completely random method, with 6 mice in each group. Type 2 diabetes models were established in the model group and the ginsenoside Rg1 group by a high-fat diet combined with intraperitoneal injection of streptozotocin, while control group was injected with the same amount of normal saline. After successful modeling, control group was given a regular diet for 8 weeks, while the model group and ginsenoside Rg1 group were given a high-fat diet for 8 weeks. The ginsenoside Rg1 group was also treated with ginsenoside Rg1 medication. Reproductive hormone levels were detected by enzyme-linked immunosorbent assay test kits, and Western blotting was used to detect the expressions of apoptosis-related proteins (Bcl2 protein, Caspase-3 protein, Bax protein), autophagy-related proteins (P62, LC3Ⅰ, LC3Ⅱ, Beclin1), β-Catenin protein, mTOR protein, LAMP1 protein and transcription factor EB. The body weight, blood glucose levels, testicular index of mice in each group were compared, as well as the testicular injury status.Results:The body weight [(18.77±1.14) g], testosterone level [(141.07±8.47) ng/L], follicle-stimulating hormone level [(9.19±0.74) U/L], and luteinizing hormone level [(1 497.91±99.57) pg/L] of mice in the model group were significantly lower than those in the control [(31.57±2.35) g, P<0.001; (171.50±11.76) ng/L, P<0.001; (12.46±1.54) U/L, P<0.001; (1 807.29±92.76) pg/L, P<0.001]; fasting blood glucose level [(20.82±1.11) mmol/L], glycosylated hemoglobin (12.67%±1.03%), the testis index (0.65%±0.03%) were significantly higher than those in the control [(6.40±1.34) mmol/L, P<0.001; 5.17%±1.17%, P<0.001; 0.48%±0.04%, P<0.001]. Compared with the model group, the body weight [(22.62±0.92) g, P=0.023], testosterone level [(172.63±9.20) ng/L, P<0.001], follicle-stimulating hormone level [(12.37±1.15) U/L, P<0.001], and luteinizing hormone level [(1 847.80±108.80) pg/L, P<0.001] of mice in the ginsenoside Rg1 group increased significantly, fasting blood glucose level [(18.63±1.14) mmol/L, P=0.017], glycosylated hemoglobin (8.50%±1.05%, P<0.001) and testicular index (0.54%±0.02%, P<0.001) decreased significantly. Compared with the control, the expressions of P62 ( P=0.039), LC3Ⅱ/LC3Ⅰ( P<0.001), Beclin1 ( P=0.002) and mTOR ( P=0.036) in the testicular tissue of mice in the model group all increased, the expression of β-Catenin ( P<0.001), LAMP1 ( P=0.005), transcription factor EB ( P<0.001) all decreased. Compared with the model group, the expressions of autophagy-related proteins P62 ( P=0.048), LC3Ⅱ/LC3Ⅰ( P<0.001) , Beclin1 ( P=0.023) and mTOR ( P=0.005) in the ginsenoside Rg1 group all decreased, while the expression of β-Catenin ( P=0.001), LAMP1 ( P=0.011) and transcription factor EB ( P=0.022) all increased. Transmission electron microscopy detected a decrease in the number of autophagosomes in the testicles of mice in the model group, and it improved after drug intervention. The HE staining showed that the testes of mice in the model group exhibited phenotypes such as the shedding and disorganization of spermatogenic cells, while ginsenoside Rg1 was able to improve these phenotypes. Conclusion:Ginsenoside Rg1 can improve testicular injury caused by diabetes in mice by regulating autophagy.

Chronic epididymitis (CE) is a long-standing inflammatory condition of the epididymis caused by unresolved acute infections, chronic infections, medication use, or other factors. Clinically, it is characterized by persistent dull pain or a dragging sensation in one or both sides of the scrotum. The disease course typically exceeds three months and is marked by insidious onset and recurrent episodes. Current studies suggest that CE may disrupt the epididymal microenvironment through multiple pathological processes, including local inflammatory responses, oxidative stress, fibrotic remodeling, and autophagy. These alterations impair sperm maturation, transport, and capacitation, thereby contributing to male reproductive dysfunction and infertility. This review summarizes the major etiologies and pathophysiological characteristics of CE and its impact on male reproductive function. It focuses on the roles of inflammatory cytokines and related signaling pathways, oxidative stress mechanisms, and fibrotic progression in the pathogenesis of CE. Moreover, it explores targeted therapeutic strategies based on these mechanisms, aiming to provide a theoretical basis for identifying key molecular targets and signaling pathways involved in CE-induced male reproductive impairment.

Depressive disorder is a kind of mental disorder characterized by persistent and significant depressed mood, with complex etiology and high recurrence rate. At present, more precise and effective diagnostic and therapeutic approaches are still required. Increasing evidence suggests that hypoxia inducible factor-1 (HIF-1) and related pathways are involved in regulating the development and recovery of depression. HIF-1 enhances neuroplasticity, mitigates neuroinflammatory responses, alleviates oxidative stress, and modulates brain energy metabolism by influencing specific molecules associated with depression. This paper reviews pertinent domestic and international studies, examine the potential mechanisms of HIF-1 in the pathogenesis and progression of depression, and explore antidepressant treatment strategies targeting the HIF-1 signaling pathway. This article provides novel insights into elucidating the pathogenesis of depression and developing innovative therapeutic approaches.