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Correlation of psychological resilience with social support and coping style in Parkinson's disease: A cross‐sectional study

Abstract

Aims

To analyse the current status of psychological resilience in Parkinson's disease (PD) patients and its correlation with social support and coping style.

Design

A cross-sectional study.

Methods

PD patients hospitalized in a tertiary-level hospital in Shijiazhuang, Hebei Province, from March 2022 to March 2023 were selected for the study using the convenience sampling method. A general information questionnaire, psychological resilience scale, Medical Coping Modes Questionnaire and Perceived Social Support Scale were used to investigate 111 cases of PD. SPSS 25.0 software was used for statistical analysis. The data were analysed using independent samples t-test, one-way ANOVA, multiple linear regression analysis and the Pearson correlation coefficient.

Results

Parkinson's disease patients have a moderate level of psychological resilience. The results of the Pearson correlation analyses showed that the level of psychological resilience was positively correlated with social support and confrontation and was negatively correlated with avoidance and acceptance-resignation. The results of multiple linear regression analysis showed that social support and acceptance-resignation were the influencing factors of psychological resilience in PD patients.

Conclusion

The psychological resilience of PD patients is at a moderate level. Social support and acceptance-resignation are the factors influencing the psychological resilience of PD patients.

Impact Statement

This study analysed the level of psychological resilience in PD patients and its correlation with social support and coping style from the perspective of positive psychology to provide some reference for targeted clinical interventions. Our study found that social support and acceptance-resignation are influential factors in psychological resilience in PD patients. Medical staff should encourage patients to face the disease positively and their social support should be increased in order to improve their level of psychological resilience.

Patient or Public Contribution

No patient or public contribution.

Quantitative proteomic analysis reveals key proteins involved in radiation-induced brain injury

by Jing Liu, Junshuang Wang, Shuang Lv, Hengjiao Wang, Defu Yang, Ying Zhang, Ying Li, Huiling Qu, Ying Xu, Ying Yan

Objective

Radiation-induced brain injury (RIBI) is a significant complication following radiotherapy for brain tumors, leading to neurocognitive deficits and other neurological impairments. This study aims to identify potential biomarkers and therapeutic targets for RIBI by utilizing advanced proteomic techniques to explore the molecular mechanisms underlying RIBI.

Methods

A rat model of RIBI was established and subjected to whole-brain irradiation (30 Gy). Tandem mass tagging (TMT)-based quantitative proteomics, combined with high-resolution mass spectrometry, was used to identify differentially expressed proteins (DEPs) in the brain tissues of irradiated rats. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to identify the biological processes and pathways involved. Protein-protein interaction (PPI) networks were constructed to identify key hub proteins.

Results

A total of 35 DEPs were identified, including PHLDA3, APOE and CPE. GO enrichment analysis revealed that the DEPs were mainly involved in lipid transport, cell adhesion, and metabolic processes. KEGG analysis highlighted the enrichment of pathways related to metabolism, tight junctions, and PPAR signaling. APOE was identified as a key hub protein through PPI network analysis, indicating its potential role in RIBI pathophysiology. Immunohistochemistry further validated the increased expression of PHLDA3, APOE, and CPE in the brain tissue of irradiated rats.

Conclusion

This study provides valuable insights into the molecular mechanisms of RIBI by identifying key proteins and their associated pathways. The findings suggest that these proteins, particularly APOE and PHLDA3, could serve as potential biomarkers and therapeutic targets for clinical intervention in RIBI. These results not only enhance our understanding of RIBI’s molecular pathology but also open new avenues for the development of targeted therapies to mitigate radiation-induced neurotoxicity.

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