Objective To investigate the relationship between ferroptosis-related genes[heme oxygenase-1(HO-1),solute carrier family 7 member 11(SLC7A11),and long-chain acyl-coenzyme A synthetase 4(ACSL4)]expression and cardiovascular events in patients with chronic renal failure(CRF),aiming to pro-vide clinical insights for risk assessment of cardiovascular complications.Methods A total of 124 CRF pa-tients(CRF group)admitted to the hospital from January 2020 to January 2023 and 124 healthy people(con-trol group)who underwent physical examination in the hospital during the same period were selected as the research objects.The levels of ferroptosis-related gene HO-1,SLC7A11 and ACSL4 were detected and com-pared between the two groups.CRF patients were followed up for 12 months after discharge,and they were di-vided into concurrent group(n=56)and non-concurrent group(n=66)according to the occurrence of cardio-vascular events.Spearman correlation analysis was used to investigate the correlation between iron death relat-ed genes HO-1,SLC7A11,ACSL4 and cardiovascular events in CRF patients.Univariate and multivariate Lo-gistic regression analysis were used to investigate the influencing factors of cardiovascular events in CRF pa-tients.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of iron death re-lated genes HO-1,SLC7A11,and ACSL4 for cardiovascular events in CRF patients.Results Serum HO-1 and SLC7A11 levels in CRF group were lower than those in control group(P＜0.05),and the ACSL4 level was higher than that in control group(P＜0.05).The serum HO-1 and SLC7A11 levels in concurrent group were lower than those in non-concurrent group(all P＜0.05),and the serum ACSL4 level was higher than that in non-concurrent group(P＜0.05).Ferroptosis-related genes HO-1 and SLC7A11 were negatively correlated with cardiovascular events(r=-0.708,—0.721,P＜0.05),while ACSL4 was positively correlated with car-diovascular events(r=0.699,P＜0.05).High serum ACSL4 expression and high cTnT level were risk fac-tors for cardiovascular events in CRF patients(P＜0.05),and high hemoglobin level and high serum HO-1 and SLC7A11 expression were protective factors for cardiovascular events in CRF patients(P＜0.05).ROC curve analysis results showed that the area under the curve(AUC)of serum HO-1,SLC7A11,ACSL4,hemo-globin and cTnT alone for predicting cardiovascular events in CRF patients were 0.787,0.735,0.773,0.651 and 0.782,respectively.The AUC of the combined prediction of ferroptosis-related genes was 0.837,and the AUC of the combined application of five factors was 0.880.According to Delong's test,the AUC of both com-bined application models was significantly higher than those of individual application(P＜0.05).The nomo-gram model showed that all ferroptosis-related genes were positively expressed(HO-1＜1.5,SLC7A11＜1.15,ACSL4≥2.75),and the risk of developing concurrent cardiovascular events in CRF patients could reach over 75％.Conclusion The expression of serum HO-1 and SLC7A11 in CRF patients is decreased,and the ACSL4 expression is increased,which is closely related to cardiovascular events,and the combined detection of three indexes has high value in predicting cardiovascular events in CRF patients.

To evaluate long-term survival and clinical outcomes of patients with knee osteo-arthritis undergoing total knee arthroplasty (TKA) through long-term follow-up.

To analyze the occurrence of early complications after total hip arthroplasty (THA) in patients with systemic lupus erythematosus (SLE).

Neuropathic pain is frequently comorbidity with cognitive deficits. Neuralized1 (Neurl1)-mediated ubiquitination of CPEB3 in the hippocampus is critical in learning and memory. However, the role of Neurl1 in the cognitive impairment in neuropathic pain remains elusive. Herein, we found that lumbar 5 spinal nerve ligation (SNL) in male rat-induced neuropathic pain was followed by learning and memory deficits and LTP impairment in the hippocampus. The Neurl1 expression in the hippocampal CA1 was decreased after SNL. And this decrease paralleled the reduction of ubiquitinated-CPEB3 level and reduced production of GluA1 and GluA2. Overexpression of Neurl1 in the CA1 rescued cognitive deficits and LTP impairment, and reversed the reduction of ubiquitinated-CPEB3 level and the decrease of GluA1 and GluA2 production following SNL. Specific knockdown of Neurl1 or CPEB3 in bilateral hippocampal CA1 in naïve rats resulted in cognitive deficits and impairment of synaptic plasticity. The rescued cognitive function and synaptic plasticity by the treatment of overexpression of Neurl1 before SNL were counteracted by the knockdown of CPEB3 in the CA1. Collectively, the above results suggest that the downregulation of Neurl1 through reducing CPEB3 ubiquitination and, in turn, repressing GluA1 and GluA2 production and mediating synaptic plasticity impairment in hippocampal CA1 leads to the genesis of cognitive deficits in neuropathic pain.
Animals ; Male ; Neuralgia/metabolism* ; Rats ; Down-Regulation/physiology* ; Ubiquitination/physiology* ; Neuronal Plasticity/physiology* ; Rats, Sprague-Dawley ; CA1 Region, Hippocampal/metabolism* ; Cognitive Dysfunction/metabolism* ; RNA-Binding Proteins/metabolism* ; Receptors, AMPA/metabolism*

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Glioma is the most common primary malignant tumor of the central nervous system in adults. Despite the standard treatment of surgery combined with radiotherapy and chemotherapy, the prognosis for high-grade glioma patients remains poor, highlighting the urgent need to further explore its pathogenesis and develop new therapeutic strategies. This article reviews the research progress in the field of glioma in China in 2024, covering tumorigenesis mechanisms, tumor immune microenvironment composition, advances in imaging techniques and novel imaging agents, improvements in surgical approaches, mechanisms of radio- and chemoresistance, and explorations of new therapeutic modalities. These studies provide a solid theoretical foundation for advancing clinical diagnosis and treatment of gliomas and may offer new opportunities to improve patient outcomes.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

[This corrects the article DOI: 10.1016/j.apsb.2021.07.024.].

Objective:To explore the dilemmas in the discharge preparation process of postoperative breast cancer patients within the framework of Meleis' Transition Theory, and to provide evidence for the development of nursing interventions to improve discharge readiness.Methods:This was a qualitative study. Using purposive sampling, postoperative breast cancer patients hospitalized in the Department of Breast Surgery of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University between September and October 2024 were selected for the study. Semi-structured, in-depth interviews were conducted. Data were analyzed and themes extracted using Colaizzi's seven-step analysis method.Results:A total of four themes were extracted: personal status-patients experienced complex emotions at discharge; disease knowledge preparation-patients had insufficient mastery of relevant knowledge after discharge; coping ability-patients lacked confidence in home self-care after returning home; social support-patients desired support from peers and medical staff.Conclusions:Postoperative breast cancer patients face multiple dilemmas during discharge preparation. Medical staff are advised to pay attention to the psychological status of discharged patients and develop individualized emotional coping strategies; provide professional information and meet patients' fertility and sexual health knowledge needs; optimize health education models to enhance patients' home coping ability; and strengthen the integration of mobile health with nursing practice to build a multidimensional support system.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.