Hypoxic-ischemic (HI) brain damage poses a high risk of death or lifelong disability, yet effective treatments remain elusive. Here, we demonstrated that miR-100-5p levels in the lesioned cortex increased after HI insult in neonatal mice. Knockdown of miR-100-5p expression in the brain attenuated brain injury and promoted functional recovery, through inhibiting the cleaved-caspase-3 level, microglia activation, and the release of proinflammation cytokines following HI injury. Engineered extracellular vesicles (EVs) containing neuron-targeting rabies virus glycoprotein (RVG) and miR-100-5p antagonists (RVG-EVs-Antagomir) selectively targeted brain lesions and reduced miR-100-5p levels after intranasal delivery. Both pre- and post-HI administration showed therapeutic benefits. Mechanistically, we identified protein phosphatase 3 catalytic subunit alpha (Ppp3ca) as a novel candidate target gene of miR-100-5p, inhibiting c-Fos expression and neuronal apoptosis following HI insult. In conclusion, our non-invasive method using engineered EVs to deliver miR-100-5p antagomirs to the brain significantly improves functional recovery after HI injury by targeting Ppp3ca to suppress neuronal apoptosis.
Animals ; MicroRNAs/metabolism* ; Extracellular Vesicles/metabolism* ; Mice ; Recovery of Function/physiology* ; Hypoxia-Ischemia, Brain/therapy* ; Mice, Inbred C57BL ; Antagomirs/administration & dosage* ; Male ; Animals, Newborn ; Apoptosis/drug effects* ; Brain Injuries/metabolism* ; Glycoproteins ; Peptide Fragments ; Viral Proteins

Objective:To assess the effect of joint exposure to multiple air pollutants on sleep structure in patients with stable chronic obstructive pulmonary disease (COPD), identify key air pollutants, and analyze potential influencing factors.Methods:In this panel study, 92 stable COPD patients were recruited. From March 2021 to September 2023 in Beijing, all participants completed 254 nights of sleep monitoring. The total sleep duration, light sleep duration, deep sleep duration and rapid eye movement sleep duration and their respective proportions in total sleep duration were recorded. The exposure levels of fine particulate matter (PM 2.5), inhalable particulate matter (PM 10), nitrogen dioxide (NO 2), ozone (O 3), sulfur dioxide (SO 2), and carbon monoxide (CO) were estimated based on the infiltration factor method and time-activity logs of participants. To assess the lag effect of air pollutants, moving average concentrations of air pollutants from 0-1 day to 0-3 months were calculated. The linear mixed-effect model and Bayesian kernel machine regression (BKMR) model were used to assess the single and joint effects of air pollutants on sleep structure parameters in COPD patients, respectively. Results:All six types of air pollutants were associated with changes in sleep structure, manifesting as an increase in total sleep duration and light sleep proportion and a reduction in deep sleep proportion. The effects of O 3 were strongest at lag 0-6 days, while other air pollutants were at lag 0-3 months. Joint exposure to multiple air pollutants exerted significant joint effects on sleep structure, and NO 2 was identified as the dominant pollutant. NO 2 had a posterior inclusion probability (PIP) greater than 0.5 for light sleep proportion (PIP=0.691) and deep sleep proportion (PIP=0.957). With an interquartile range (IQR) increase of 8.6 μg/m 3 in NO 2 at lag 0-3 months, the light sleep proportion increased by 10.5% (95% CI: 2.2%-19.4%), and the deep sleep proportion decreased by 19.5% (95% CI:-30.6%- -6.8%). Conclusion:Joint exposure to air pollutants is associated with changes in sleep structure in stable COPD patients, and NO 2 may be a key pollutant.

Epilepsy is sudden,recurrent,and transient central nervous system dysfunction caused by abnormal discharge of neurons in the brain.Recurrent or prolonged seizures can result in neuronal damage and cell death;however,the mo-lecular mechanisms underlying the epilepsy-in-duced damage to neurons remain unclear.Ferrop-tosis,a novel type of regulated cell death(RCD)characterized by iron-dependent lipid peroxidation,is involved in the pathophysiological progression of epilepsy.Emerging studies have demonstrated pharmacologically inhibiting ferroptosis can miti-gate neuronal damage in epilepsy.In this review,we briefly describe the core molecular mechanisms of ferroptosis and the roles they play in contribut-ing to epilepsy,highlight emerging compounds that can inhibit ferroptosis to treat epilepsy and associ-ated neurobehavioral comorbidities,and outline their pharmacological beneficial effects.The cur-rent review suggests inhibiting ferroptosis as a ther-apeutic target for epilepsy and associated neurobe-havioral comorbidities.

Objective:To explore the effects of multidisciplinary continuous nursing based on the transtheoretical model (TTM) in patients after radiofrequency ablation for atrial fibrillation.Methods:Using a convenience sampling method, 280 patients who underwent radiofrequency ablation for atrial fibrillation at the China-Japan Union Hospital of Jilin University from January to December 2024 were enrolled. Patients treated from January to June 2024 were assigned to the control group ( n=140), and those treated from July to December 2024 were assigned to the intervention group ( n=140). The control group received routine continuous nursing, while the intervention group received multidisciplinary continuous nursing guided by the transtheoretical model. The 8-item Morisky Medication Adherence Scale (MMAS-8), Self-Rated Abilities for Health Practices Scale (SRAHP), Depression Anxiety and Stress Scale (DASS-21), and the Chinese Quality of Life Questionnaire for Cardiovascular Patients (CQQC) were used to evaluate the intervention effects. Results:A total of 135 patients in the control group and 137 patients in the intervention group completed the study. After the intervention, the MMAS-8, CQQC, and SRAHP scores of the intervention group were higher than those of the control group, with statistically significant differences ( P<0.05). The anxiety and stress subscale scores of the DASS-21 were lower in the intervention group compared with the control group, with statistically significant differences ( P<0.05) . Conclusions:Multidisciplinary continuous nursing based on the transtheoretical model can improve medication adherence, reduce negative psychological states, promote healthy behavior formation, and enhance the quality of life of patients after radiofrequency ablation for atrial fibrillation.

Objective:To explore the effects of multidisciplinary continuous nursing based on the transtheoretical model (TTM) in patients after radiofrequency ablation for atrial fibrillation.Methods:Using a convenience sampling method, 280 patients who underwent radiofrequency ablation for atrial fibrillation at the China-Japan Union Hospital of Jilin University from January to December 2024 were enrolled. Patients treated from January to June 2024 were assigned to the control group ( n=140), and those treated from July to December 2024 were assigned to the intervention group ( n=140). The control group received routine continuous nursing, while the intervention group received multidisciplinary continuous nursing guided by the transtheoretical model. The 8-item Morisky Medication Adherence Scale (MMAS-8), Self-Rated Abilities for Health Practices Scale (SRAHP), Depression Anxiety and Stress Scale (DASS-21), and the Chinese Quality of Life Questionnaire for Cardiovascular Patients (CQQC) were used to evaluate the intervention effects. Results:A total of 135 patients in the control group and 137 patients in the intervention group completed the study. After the intervention, the MMAS-8, CQQC, and SRAHP scores of the intervention group were higher than those of the control group, with statistically significant differences ( P<0.05). The anxiety and stress subscale scores of the DASS-21 were lower in the intervention group compared with the control group, with statistically significant differences ( P<0.05) . Conclusions:Multidisciplinary continuous nursing based on the transtheoretical model can improve medication adherence, reduce negative psychological states, promote healthy behavior formation, and enhance the quality of life of patients after radiofrequency ablation for atrial fibrillation.

Objective:To explore latent categories and influencing factors of disease uncertainty in atrial fibrillation patients undergoing radiofrequency ablation (RFA) .Methods:Convenience sampling was used to select 346 atrial fibrillation patients who underwent RFA from February 2022 to July 2024 at China-Japan Union Hospital of Jilin University. Patients were surveyed using the General Information Questionnaire, Mishel Uncertainty in Illness Scale-Adult Form (MUIS-A), Brief Illness Perception Questionnaire, Chinese version of the Sense of Coherence-13, and Family APGAR Index. Latent categories and influencing factors of disease uncertainty in atrial fibrillation patients with RFA were explored using latent profile analysis and Logistic regression analysis.Results:A total of 346 questionnaires were distributed and 328 valid questionnaires were recovered, with a valid recovery rate of 94.80% (328/346). The total MUIS-A score for 328 patients with atrial fibrillation was (97.06±9.41). Three latent categories of disease uncertainty existed in 328 atrial fibrillation patients with RFA, namely high-level disease uncertainty group ( n=138), intermediate-level disease uncertainty group ( n=120), and low-level disease uncertainty group ( n=70). Age, education level, number of RFA, type of atrial fibrillation, perception of disease, sense of coherence, and family care were the factors influencing the disease uncertainty in patients with atrial fibrillation ( P<0.05) . Conclusions:Disease uncertainty after RFA in patients with atrial fibrillation is above the intermediate level. Nursing staff should provide precise interventions for patients with different latent categories of disease uncertainty in conjunction with its influencing factors.

Objective:To explore the developmental trajectories of care dependency in patients after percutaneous coronary intervention (PCI) and to identify its influencing factors.Methods:A convenience sampling method was used to recruit patients who underwent PCI at China-Japan Friendship Hospital of Jilin University from August 2023 to July 2024. The Chinese version of the Care Dependency Scale was administered at 1 week, 1 month, 3 months, and 6 months postoperatively. A latent growth mixture model was employed to identify trajectories of care dependency. Logistic regression analysis was used to examine the influencing factors.Results:A total of 397 questionnaires were distributed, and 389 valid questionnaires were returned, with a response rate of 97.98% (389/397). Three distinct trajectories of care dependency were identified among the 389 patients: stable low dependency, recovering high dependency, and persistent high dependency. Age, cardiac function classification, number of comorbidities, frailty, self-efficacy, and utilization of chronic disease resources were significantly associated with different trajectory classes ( P<0.05) . Conclusions:Care dependency after PCI exhibits heterogeneity in its developmental trajectories. Patients in the persistent high-dependency group represent a high-risk subgroup requiring special attention. Nursing staff should enhance their ability to recognize trajectory patterns and implement precise interventions based on trajectory type and influencing factors.

Objective:To assess the effect of joint exposure to multiple air pollutants on sleep structure in patients with stable chronic obstructive pulmonary disease (COPD), identify key air pollutants, and analyze potential influencing factors.Methods:In this panel study, 92 stable COPD patients were recruited. From March 2021 to September 2023 in Beijing, all participants completed 254 nights of sleep monitoring. The total sleep duration, light sleep duration, deep sleep duration and rapid eye movement sleep duration and their respective proportions in total sleep duration were recorded. The exposure levels of fine particulate matter (PM 2.5), inhalable particulate matter (PM 10), nitrogen dioxide (NO 2), ozone (O 3), sulfur dioxide (SO 2), and carbon monoxide (CO) were estimated based on the infiltration factor method and time-activity logs of participants. To assess the lag effect of air pollutants, moving average concentrations of air pollutants from 0-1 day to 0-3 months were calculated. The linear mixed-effect model and Bayesian kernel machine regression (BKMR) model were used to assess the single and joint effects of air pollutants on sleep structure parameters in COPD patients, respectively. Results:All six types of air pollutants were associated with changes in sleep structure, manifesting as an increase in total sleep duration and light sleep proportion and a reduction in deep sleep proportion. The effects of O 3 were strongest at lag 0-6 days, while other air pollutants were at lag 0-3 months. Joint exposure to multiple air pollutants exerted significant joint effects on sleep structure, and NO 2 was identified as the dominant pollutant. NO 2 had a posterior inclusion probability (PIP) greater than 0.5 for light sleep proportion (PIP=0.691) and deep sleep proportion (PIP=0.957). With an interquartile range (IQR) increase of 8.6 μg/m 3 in NO 2 at lag 0-3 months, the light sleep proportion increased by 10.5% (95% CI: 2.2%-19.4%), and the deep sleep proportion decreased by 19.5% (95% CI:-30.6%- -6.8%). Conclusion:Joint exposure to air pollutants is associated with changes in sleep structure in stable COPD patients, and NO 2 may be a key pollutant.

Epilepsy is sudden,recurrent,and transient central nervous system dysfunction caused by abnormal discharge of neurons in the brain.Recurrent or prolonged seizures can result in neuronal damage and cell death;however,the mo-lecular mechanisms underlying the epilepsy-in-duced damage to neurons remain unclear.Ferrop-tosis,a novel type of regulated cell death(RCD)characterized by iron-dependent lipid peroxidation,is involved in the pathophysiological progression of epilepsy.Emerging studies have demonstrated pharmacologically inhibiting ferroptosis can miti-gate neuronal damage in epilepsy.In this review,we briefly describe the core molecular mechanisms of ferroptosis and the roles they play in contribut-ing to epilepsy,highlight emerging compounds that can inhibit ferroptosis to treat epilepsy and associ-ated neurobehavioral comorbidities,and outline their pharmacological beneficial effects.The cur-rent review suggests inhibiting ferroptosis as a ther-apeutic target for epilepsy and associated neurobe-havioral comorbidities.

Objective:To explore latent categories and influencing factors of disease uncertainty in atrial fibrillation patients undergoing radiofrequency ablation (RFA) .Methods:Convenience sampling was used to select 346 atrial fibrillation patients who underwent RFA from February 2022 to July 2024 at China-Japan Union Hospital of Jilin University. Patients were surveyed using the General Information Questionnaire, Mishel Uncertainty in Illness Scale-Adult Form (MUIS-A), Brief Illness Perception Questionnaire, Chinese version of the Sense of Coherence-13, and Family APGAR Index. Latent categories and influencing factors of disease uncertainty in atrial fibrillation patients with RFA were explored using latent profile analysis and Logistic regression analysis.Results:A total of 346 questionnaires were distributed and 328 valid questionnaires were recovered, with a valid recovery rate of 94.80% (328/346). The total MUIS-A score for 328 patients with atrial fibrillation was (97.06±9.41). Three latent categories of disease uncertainty existed in 328 atrial fibrillation patients with RFA, namely high-level disease uncertainty group ( n=138), intermediate-level disease uncertainty group ( n=120), and low-level disease uncertainty group ( n=70). Age, education level, number of RFA, type of atrial fibrillation, perception of disease, sense of coherence, and family care were the factors influencing the disease uncertainty in patients with atrial fibrillation ( P<0.05) . Conclusions:Disease uncertainty after RFA in patients with atrial fibrillation is above the intermediate level. Nursing staff should provide precise interventions for patients with different latent categories of disease uncertainty in conjunction with its influencing factors.