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.

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

Phosphodiesterase type 5(PDE5)participates in the physiological functions of multiple organs by regulating the nitric oxide(NO)-cyclic guanosine monophosphate(cGMP)pathway.As a long-acting PDE5 inhibitor,tadalafil has been used clinically for over 20 years and is approved for the treatment of male erectile dysfunction and lower urinary tract symptoms associated with benign prostatic hyperplasia.Furthermore,tadalafil maintains cGMP levels by inhibiting PDE5,thereby activa-ting the downstream NO-cGMP signaling pathway to exert multiple effects,including relaxing smooth muscle,exerting antioxidant actions,regulating apoptosis,and modulating metabolism.Clinical evidence indicates that tadalafil shows promising therapeutic potential in multi-organ system diseases such as pulmonary arterial hypertension,heart failure,type 2 diabetes,cognitive impair-ment,female infertility,and fetal growth restriction.This article systematically reviews the action mechanisms and research pro-gress of tadalafil in treating diseases beyond erectile dysfunction,aiming to summarize its potential for cross-disease system clini-cal applications and provide references for optimizing treatment strategies for patients with chronic diseases.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

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 related risk factors contributing to re-fracture after hip surgery in elderly patients.Methods:This retrospective analysis was conducted on the clinical data of 2 415 elderly individuals who underwent surgical treatment for hip fractures and were discharged from Shanghai Sixth People's Hospital between January 2016 and December 2021.Patients were grouped into re-fracture and non-re-fracture cohorts based on whether a second fracture occurred within three years after surgery.Demographics, clinical data, and postoperative functional rehabilitation outcomes of the two groups were collected, and univariate and multivariate logistic regression analyses were applied to identify the independent risk factors for re-fractures after surgery.Results:A total of 2, 000 patients who completed follow-up were included in the final analysis, aged 60~91 years, with a mean age of (75.4±8.2) years.Among them, 855 were male(42.75%), and the postoperative re-fracture incidence was 28.25% (565/2 000). Univariate analysis indicated that advanced age, fracture type at first onset, lower Harris scores, insufficient rehabilitation training, osteoporosis, diabetes, cerebrovascular disorders, visual impairment, and syncope were all significantly associated with re-fracture (all P<0.05), while gender differences were not statistically significant ( P>0.05). Multivariate regression confirmed the following as independent risk factors: age ≥75 years, postoperative Harris score <80, non-standard rehabilitation training, combined osteoporosis, diabetes, cerebrovascular disease, visual impairment, and syncope ( OR、 RR>1). Conclusions:Elderly patients are prone to re-fracture after hip surgery, and its occurrence is closely related to advanced age, inadequate functional rehabilitation, osteoporosis, and multiple internal medical comorbidities.In clinical practice, attention should be paid to standardized postoperative rehabilitation, systematic anti-osteoporotic therapy, and active intervention of comorbidities to reduce the incidence of re-fracture and improve the long-term prognosis of patients.

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.

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 explore the effects of Xiaoyao Conger Decoction pretreatment on model rats of tinnitus with syndrome of liver-qi stagnation and spleen deficiency (TLSSD) and its preliminary mechanisms.Methods:The rats were divided into four groups: a blank group, a model group, a positive group, and Xiaoyao Conger high- and low-dosage groups, with 7 rats in each group according to random number table method. Except for the blank group, the TLSSD model was prepared by the composite etiological method in all groups of rats. The positive group received a gavage of carbamazepine at 15 mg/kg, while Xiaoyao Conger high- and low-dosage groups were given 30 g/kg and 15 g/kg of Xiaoyao Conger Decoction, respectively. The blank and model groups were administered an equal volume of saline once daily for 4 weeks. The frequency of conditioned avoidance response behaviors in rats was recorded before and at 2 and 4 weeks post-drug administration; TCM syndrome scores were documented before and after treatment; auditory brainstem response (ABR) thresholds were monitored at frequencies of 4, 12, 20, and 28 kHz; IL-1β mRNA expression in the inferior colliculus and cochlea was detected by RT-qPCR; and the levels of γ-aminobutyric acid (GABA) and glutamic acid (Glu) in hippocampal tissues were determined by LC-MS/MS.Results:The model group exhibited symptoms of liver depression, including irritability, yellow fur, and a dark red tongue, along with signs of spleen deficiency such as lethargy, decreased activity, and loose stools. Compared to the model group, rats in the Xiaoyao Conger high- and low-dosage groups demonstrated a reduction in conditioned avoidance response behaviors ( P<0.05 or P<0.01), a decrease in TCM syndrome scores ( P<0.05 or P<0.01), lower ABR thresholds at 12, 20, and 28 kHz ( P<0.01), reduced levels of IL-1β mRNA in the inferior colliculus and cochlea ( P<0.05 or P<0.01), and decreased hippocampal Glu levels ( P<0.01). Conclusion:The therapeutic effect of Xiaoyao Conger Decoction pretreatment on TLSSD rats may be related to its ability to improve the mood disorders and stress, reduce the neuroinflammatory response, regulate the CNS neurotransmitter balance, and correct the overexcitability of the auditory centre, etc.