Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Objective:To explore the function of MDM2 and its relationship with p53 at the cellular level during H 2O 2 induced oxidative damage. Methods:MLE-12 HALI cell models were established using 0.5 mmol/L H 2O 2, and were divided into three groups: normal control group, H 2O 2 injury group, H 2O 2+MDM2 overexpressed group, and H 2O 2+MDM2 shRNA group. Infection of MLE-12 cells with adenovirus vector overexpressing and silencing MDM2; Using immunoprecipitation (Co-IP) to analyze the interaction between MDM2 and p53; Western blotting was used to detect the protein expression levels of MDM2, p53, Bcl-2, Bax, and cleared caspase-3 after HALI modeling; Measure the apoptosis rate of cells in each group. Results:After transcriptome sequencing,the p53 signaling pathway closely related to HALI. Compared with the normal group, the expression of MDM2 in the H 2O 2 injury group was lower ( P<0.05); Compared with the H 2O 2 injury group, overexpression of MDM2 resulted in a decrease in the apoptosis rate of MLE-12 cells ( P<0.05), a decrease in the expression levels of p53, Bax, and cleared caspase-3 proteins, and an upregulation of MDM2 and Bcl-2 protein expression ( P<0.05). Compared with the H 2O 2 injury group, when MDM2 was silenced, the cell apoptosis rate increased ( P<0.05), and the expression levels of p53, Bax, and cleared caspase-3 proteins were upregulated, while the expression levels of MDM2 and Bcl-2 proteins decreased ( P<0.05). Co-IP experiments showed that MDM2 binds to p53 protein. Conclusions:MDM2 can exert a protective effect on HALI by inhibiting MLE-12 cell apoptosis through the p53/Bcl-2/Bax axis.

This article reviews the current status, challenges, and reflections on the full-cycle health management of stroke in China. In response to the three major challenges of insufficient public attention to stroke health management, inadequate management of health care services, and an incomplete quality evaluation system, this article proposes to encourage the participation of multiple stakeholders and promote proactive health management, deepen interdisciplinary cooperation and multi-governance, strengthen human resource construction, establish and improve stroke full-cycle health management norms and quality evaluation systems, so as to provide reference for the development and improvement of stroke full-cycle health management in China.

Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.

Objective:To explore the mediating effect of rumination between self-perceived burden (SPB) and stigma in stroke patients, so as to provide theoretical basis for the development of targeted nursing interventions in clinical practice.Methods:In September 2022, cluster sampling was used to select 1 126 stroke patients admitted to Department of Neurology of five ClassⅢ Grade A hospitals in Henan Province as subjects. General Information Questionnaire, Self-Perceived Burden Scale (SPBS), Stroke Stigma Scale (SSS), and Chinese Version of Event Related Rumination Inventory (C-ERRI) were used to investigate stroke patients. Pearson correlation analysis was used to explore the correlation between SPB, rumination, and stigma. AMOS 28.0 software was used to establish the structural equation model, and Bootstrap method was used to test the mediating effect.Results:A total of 1 126 questionnaires were distributed, and 1 026 valid questionnaires were collected, with a valid response rate of 91.12% (1 026/1 126). SPBS score of 1 026 stroke patients was (28.68±8.32), the SSS score was (40.53±9.48) and the C-ERRI score was (25.43±12.62). Pearson correlation analysis showed that SPB in stroke patients was positively correlated with stigma and rumination ( P<0.01), and rumination was positively correlated with stigma ( P<0.01). Bootstrap mediating effect test showed that rumination partially mediated the relationship between SPB and stigma in stroke patients, accounting for 55.15% of the total effect. Conclusions:SPB of stroke patients both directly affect stigma and indirectly affect stigma through rumination. Clinical nursing workers should promptly evaluate patients' SPB, pay attention to the mediating role of rumination, develop effective psychological intervention programs, implement personalized and targeted nursing measures, relieve patients' stigma, and improve treatment and rehabilitation compliance.

Objective:To understand the research status and hotspots in the field of stroke health management at home and abroad, and to provide insights for stroke health management research in China.Methods:Relevant literature on stroke health management published between 2013 and 2023 was retrieved from the Web of Science Core Collection and China National Knowledge Infrastructure databases. CiteSpace 6.1.R6 was used for the visual analysis of the number of publications, authors, institutions, countries, and keywords.Results:A total of 382 relevant articles were included, with 169 in English and 213 in Chinese. The number of publications on stroke health management showed a fluctuating upward trend. Research hotspots and frontiers in stroke health management mainly focused on telemedicine, big data and "Internet+", primary and secondary prevention, risk prediction models, quality of life, and swallowing disorders. Future research trends may focus on management models for post-stroke swallowing disorders, risk identification, and the role of caregivers in remote rehabilitation interventions.Conclusions:Researchers can refer to the research hotspots and trends shown by the visual analysis, with particular attention to health management models for patients with post-stroke swallowing disorders and issues related to remote intervention rehabilitation.

Objective:To investigate the alterations in brain dynamic functional network connectivity (dFNC) and their significance in Parkinson's disease (PD) patients with postural instability/gait difficulty (PIGD).Methods:Ninety PD patients admitted to Department of Neurology, First Affiliated Hospital of Nanjing Medical University from May 2016 to August 2019 were recruited, and 54 healthy controls matched with gender and age were chosen; their clinical data and resting-state functional MRI (rs-fMRI) data were collected. PD patients were divided into PD with PIGD (PD-PIGD) group ( n=49) and PD without PIGD (PD-non-PIGD) group ( n=41) according to Unified Parkinson's Disease Rating Scale (UPDRS) scores. Independent component analysis (ICA), sliding window method and k-means clustering were used to analyze the dFNC and compare among groups. Correlations of dFNC alterations with clinical scales were verified by partial correlation analysis. Results:Four repeated recurring functional connectivity states were identified, and PD-PIGD patients had high frequency in state 3 (44%) and state 2 (23%) of the low dFNC. In terms of dFNC time attributes, PD-PIGD patients had longer mean dwell time in state 3 than PD-non-PIGD patients and had lower number of transitions in state 3 than PD-non-PIGD patients and healthy controls, with significant differences ( P<0.05); PD-PIGD patients had significantly higher fractional windows and statistically longer mean dwell time in state 2 than healthy controls ( P<0.05). In terms of dFNC strengths, compared with healthy controls, PD-PIGD patients showed significantly decreased functional connectivity within default mode network (DMN, between medial superior frontal gyrus and precuneus) and auditory network (AN, between superior temporal gyrus and middle temporal gyrus), but significantly increased functional connectivity between sensorimotor network (SMN, supplementary motor area) and DMN (precuneus) in state 2 ( P<0.05, false discovery rate [FDR]-corrected). Partial correlation analysis indicated positive correlation between mean dwell time in state 3 and PIGD scores in PD-PIGD patients ( r=0.450, P=0.039). Conclusion:PD-PIGD patients exhibit specific dFNC, mainly characterized by low connectivity of the brain functional network and prolonged dwell time; local functional network domains often separate between DMN, AN and SMN networks and within the networks.