Dysregulation of p53 and phosphoinositide (PIPn) signaling are both key drivers of oncogenesis and metastasis. Our recent findings reveal a previously unrecognized interaction between these pathways, converging in the nucleus to form a PIPn-p53 signalosome that modulates nuclear AKT activation and downstream signaling, thereby influencing cancer cell survival and motility. This review examines recent insights into nuclear PIPn signaling in the context of established roles for p53 in cell dynamics and migration while also deliberating current research on how nuclear PIPns interact with p53 to form signalosomes that affect cell motility. We emphasize the critical role of PIPns in stabilizing p53 and activating de novo nuclear AKT signaling, which subsequently modulates key motility-related pathways. Understanding the unique operation and function of the PIPn-p53 signalosome in nuclear phosphatidylinositol 3-kinase (PI3K)-AKT activation offers novel therapeutic strategies for controlling cancer metastasis by targeting pertinent interactions and events.
Humans ; Tumor Suppressor Protein p53/metabolism* ; Signal Transduction ; Cell Movement ; Cell Nucleus/metabolism* ; Phosphatidylinositols/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Animals ; Neoplasms/pathology* ; Phosphatidylinositol 3-Kinases/metabolism*

This article comprehensively discusses the concept of workplace ostracism, measurement tools, theoretical basis, the current situation of workplace ostracism among nurses, and research on related variables. It proposes targeted strategies to address workplace ostracism among nurses, aiming to reduce the occurrence of workplace ostracism incidents among nurses. This is of great significance for constructing a harmonious work environment and promoting individual mental health.

The cross-lagged model is a longitudinal data analysis method that can analyze the mutual influence and causal relationships among variables in longitudinal studies. This article introduces an overview of the cross-lagged model and the application progress of the cross-lagged model in the field of nursing, including psychological nursing, community nursing, geriatric nursing, perinatal nursing, nursing management, and nursing education. It is expected to provide a reference for Chinese medical staff to apply the cross-lagged model in nursing practice.

At present, liver transplantation is the most effective method for the treatment of various end-stage liver diseases, and electronic health technology is a new medical service model, which can be used as an efficient and cost-effective alternative to the health management of liver transplant recipients. This paper summarizes the application of electronic health technology in postoperative health management of liver transplant recipients, including applications, robots, video conferencing, tablet computers, text messages, telephones and wearable devices, etc., summarizes the implementation effect of electronic health technology in health management of liver transplant recipients, and analyzes the limitations of research and application at the present stage. In order to provide basis and reference for Chinese medical staff to carry out electronic health technology in the health management of liver transplant recipients.

The symptom clusters increase the symptom distress of liver transplant recipients, reduces their treatment and nursing compliance, and greatly affects the prognosis quality of life of liver transplant recipients. This article reviews the concept, research status, assessment tools, influencing factors, and interventions for symptom clusters in liver transplant recipients, aiming to help clinical nurses formulate targeted interventions based on symptom clusters, provide effective symptom management for liver transplant recipients, reduce the physical and psychological damage caused by symptom clusters, and continuously improve the quality of life of liver transplant recipients.

At present, liver transplantation is the most effective method for the treatment of various end-stage liver diseases, and electronic health technology is a new medical service model, which can be used as an efficient and cost-effective alternative to the health management of liver transplant recipients. This paper summarizes the application of electronic health technology in postoperative health management of liver transplant recipients, including applications, robots, video conferencing, tablet computers, text messages, telephones and wearable devices, etc., summarizes the implementation effect of electronic health technology in health management of liver transplant recipients, and analyzes the limitations of research and application at the present stage. In order to provide basis and reference for Chinese medical staff to carry out electronic health technology in the health management of liver transplant recipients.

The symptom clusters increase the symptom distress of liver transplant recipients, reduces their treatment and nursing compliance, and greatly affects the prognosis quality of life of liver transplant recipients. This article reviews the concept, research status, assessment tools, influencing factors, and interventions for symptom clusters in liver transplant recipients, aiming to help clinical nurses formulate targeted interventions based on symptom clusters, provide effective symptom management for liver transplant recipients, reduce the physical and psychological damage caused by symptom clusters, and continuously improve the quality of life of liver transplant recipients.

This article comprehensively discusses the concept of workplace ostracism, measurement tools, theoretical basis, the current situation of workplace ostracism among nurses, and research on related variables. It proposes targeted strategies to address workplace ostracism among nurses, aiming to reduce the occurrence of workplace ostracism incidents among nurses. This is of great significance for constructing a harmonious work environment and promoting individual mental health.

The cross-lagged model is a longitudinal data analysis method that can analyze the mutual influence and causal relationships among variables in longitudinal studies. This article introduces an overview of the cross-lagged model and the application progress of the cross-lagged model in the field of nursing, including psychological nursing, community nursing, geriatric nursing, perinatal nursing, nursing management, and nursing education. It is expected to provide a reference for Chinese medical staff to apply the cross-lagged model in nursing practice.

Objective To evaluate the predictive performance of the Alberta stroke program early computed tomography score(ASPECTS),the Lausanne stroke scale(ASTRAL),DRAGON,START,and the total healthy risks for patients with vascular events calculated(THRIVE-c)score prediction models for the prognosis of patients with acute ischemic stroke(AIS)in Baoding advanced stroke centers,Hebei Province.Methods Clinical data of 909 patients with AIS who were admitted for intravenous thrombolysis in the department of emergency of the advanced stroke center of the Baoding NO.1 Central Hospital from January 2016 to August 2022 were collected and scored using the ASPECTS,ASTRAL,DRAGON,START,and THRIVE-c scales.The 3-month modified Rankin scale(mRS)score was observed for each score,with a score of 0-2 as a good prognosis and 3-6 as a poor prognosis,and multivariate Logistic regression coefficients for the variables in the 5 scores were compared with the original derivation cohort.The predictive efficacy of each scoring model for 3-month poor prognosis of AIS patients was analyzed by using the receiver operator characteristic curve(ROC curve),and area under the curve(AUC)was calculated;the degree of fit of each model to the actual prognostic results was assessed by using the Hosmer-Lemeshow goodness-of-fit test;at the same time,the calibration curves and Brier scores were used as an evaluation of the model's calibration performance indicators.Results A total of 786 patients were enrolled and 340 had a poor prognosis.Comparison of the validation cohort with the original cohort for model construction showed that the mean age in the validation cohort was 65 years old,with a relatively small proportion of 33.84%females,and a median glycemic value of 8.09 mmol/L.The proportion of poor prognosis was lower in the validation cohort compared to the original ASPECTS and THRIVE-c cohort(43.68%vs.51.90%,43.68%vs.50.30%)and higher in the validation cohort compared to the original cohorts of ASTRAL,DRAGON,and START(43.68%vs.34.00%,43.68%vs.35.20%,43.68%vs.39.10%,all P<0.05).ROC curve analysis showed that ASPECTS,ASTRAL,DRAGON,START and THRIVE-c scores all had predictive value for the prognosis of patients with AIS,with AUC and 95%confidence intervals(95%CI)of 0.848(0.820-0.876),0.825(0.795-0.855),0.833(0.805-0.861),0.838(0.811-0.866),and 0.727(0.691-0.762);in the anterior circulation it was 0.852(0.821-0.883),0.817(0.782-0.853),0.815(0.781-0.849),and 0.833(0.800-0.866),0.710(0.668-0.751);and 0.841(0.781-0.902),0.850(0.792-0.908),0.874(0.816-0.931),0.854(0.800-0.908),and 0.775(0.704-0.846)in the posterior loops,respectively.Hosmer-Lemeshow goodness-of-fit test showed that the DRAGON model curve had a smaller gap from the middle diagonal and was better calibrated(χ2=1.483,P=0.993).The Brier score showed that the ASPECTS scoring model had the smallest Brier score was 0.150 and the best performance.Conclusions The ASPECTS,ASTRAL,DRAGON,START,and THRIVE-c scoring models have been shown to be effective in predicting poor prognosis in patients with AIS treated with intravenous thrombolytic therapy at 3 months,with the ASPECTS model showing the most outstanding predictive performance.For anterior infarcts,the ASPECTS score demonstrated the highest predictive efficacy,whereas for posterior infarcts,the DRAGON score had the best predictive performance.The probability of the ASPECTS score in predicting prognosis in the prediction model was in good agreement with the actual probability.