RESUMEN
Introduction: Increasing evidence has indicated a connection between bipolar disorder (BD) and arteriosclerosis (AS), yet the specific molecular mechanisms remain unclear. This study aims to investigate the hub genes and molecular pathways for BD with AS. Methods: BD-related dataset GSE12649 were downloaded from the Gene Expression Omnibus database and differentially expressed genes (DEGs) and key module genes derived from Limma and weighted gene co-expression network analyses (WGCNA) were identified. AS-related genes were sourced from the DisGeNET database, and the overlapping genes between DEGs and AS-related genes were characterized as differentially expressed arteriosclerosis-related genes (DE-ASRGs). The functional enrichment analysis, protein-protein interaction (PPI) network and three machine learning algorithms were performed to explore the hub genes, which were validated with two external validation sets. Additionally, immune infiltration was performed in BD. Results: Overall, 67 DE-ASRGs were found to be overlapping between the DEGs and AS-related genes. Functional enrichment analysis highlighted the cancer pathways between BD and AS. We identified seven candidate hub genes (CTSD, IRF3, NPEPPS, ST6GAL1, HIF1A, SOX9 and CX3CR1). Eventually, two hub genes (CX3CR1 and ST6GAL1) were identified as BD and AS co-biomarkers by using machine learning algorithms. Immune infiltration had revealed the disorder of immunocytes. Discussion: This study identified the hub genes CX3CR1 and ST6GAL1 in BD and AS, providing new insights for further research on the bioinformatic mechanisms of BD with AS and contributing to the diagnosis and prevention of AS in psychiatric clinical practice.
RESUMEN
OBJECTIVE: Vitamin D is thought to be deficient in patients with bipolar disorder. The purpose of this study is to use latent profile analysis to identify the patterns of vitamin D levels in patients with episodes of bipolar depression, and to examine the relationship among these latent profiles and demographic and clinical characteristics. METHODS: A total of 149 patients diagnosed with bipolar depression were selected in Guangzhou, China. Depression was evaluated by Zung Self-Rating Depression Scale. Serum 25-hydroxyvitamin D levels tested at baseline and after two weeks of psychiatric treatment were included in the latent profile analysis to identify subgroups. P-trend analysis was used to assess the association between subgroups and depression improvement. Multinomial logistic regression analysis was used to assess the influencing factors of subgroups. RESULTS: A three-profiles solution was found to demonstrate the best fit [low-level profile (32.9%), medium-level profile (51.0%), and high-level profile (16.1%)]. There was a significant nonlinear relationship between depression improvement and vitamin D high-level profile, compared to medium-level profile (P for trend <0.05). In multinomial logistic regression analysis, baseline and post-treatment SDS scores, admission season, age, and body mass index significantly affect the profile membership. CONCLUSIONS: This study found that individuals with high levels of vitamin D showed a significant improvement in depression severity. However, those with low levels of vitamin D remained deficient, indicating a need for targeted vitamin D supplementation. Our findings may provide valuable insights for designing tailored vitamin D supplement interventions to address vitamin D deficiency in bipolar depression.
RESUMEN
Vitamin B12 deficiency is a metabolic disorder affecting the functions of hematopoietic system and nervous system. It manifests as a wide spectrum of anemia and nervous system symptoms, but psychotic symptoms are rare. We report a case of a 34-year-old man with an unbalanced diet who initially presented with psychotic symptoms. Prompt remission was achieved through vitamin B12 repletion, ultimately leading to a diagnosis of mental disorder caused by vitamin B12 deficiency. The patient provided his written informed consent to participate in this study. This case report emphasizes the importance of ruling out vitamin B12 deficiency in patients with psychotic symptoms instead of directly diagnosing schizophrenia, especially in cases where diet is unbalanced.
RESUMEN
Objective: This study focused on mood regulations and their association with sociodemographic status, exercise pattern, and physical conditions of adults and older adults in China who did not undergo interventions. Method: Data were based on the 2016 to 2018 Guangdong National Physique Monitoring data, in which 5242 participants aged 20-69 years were recruited. Multiple statistical analysis methods, such as descriptive and logistic regression analyses, were used to study each exercise motivation and its association with influencing factors, including sociodemographic characteristics, exercise measurements, and physical conditions. An exercise index for mental health was also used to investigate the number and types of people who were more likely to meet the index. Results: We observed that 44.9% (2355/5242) of participants did not engage in physical exercise in this study. Only older participants (40 to 69 years old) and those with an average level of education (high school/technical secondary school) showed a significant association with exercising for mood regulation. Few people met the index that is good for mental health (16.64% [872/5242] met index 1, and 2.84% (149/5242) met index 2), and higher education showed a significant association with a reduction in the mental health burden and the prevention of depression. Conclusion: This study found that motivating people to be more active and educating them on the potential mental health benefits of exercise could help them to exercise more.