Background: Schizophrenia (SCZ) is a type of psychiatric disorder characterized by multiple symptoms. Our aim is to decipher the relevant mechanisms of immune-related gene signatures in SCZ.
Methods: The SCZ dataset and its associated immunoregulatory genes were retrieved using Gene Expression Omnibus (GEO) and single-sample gene set enrichment analysis (ssGSEA). Co-expressed gene modules were determined through weighted gene correlation network analysis (WGCNA). To elucidate the functional characteristics of these clusters, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used. Additionally, gene set enrichment analysis (GSEA) and Gene Set Variation Analysis (GSVA) were conducted to identify enriched pathways for the immune subgroups. A protein-protein interaction (PPI) network analysis was performed to identify core genes relevant to SCZ.
Results: A significantly higher immune score was observed in SCZ compared to control samples. Seven distinct gene modules were identified, with genes highlighted in green selected for further analysis. Using the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) method, degrees of immune cell adhesion and accumulation related to 22 different immune cell types were calculated. Significantly enriched bioprocesses concerning the immunoregulatory genes with differential expressions included interferon-beta, IgG binding, and response to interferon-gamma, according to GO and KEGG analyses. Eleven hub genes related to immune infiltration emerged as key players among the three top-ranked GO terms.
Conclusions: This study underscores the involvement of immunoregulatory reactions in SCZ development. Eleven immune-related genes (IFITM1 (interferon induced transmembrane protein 1), GBP1 (guanylate binding protein 1), BST2 (bone marrow stromal cell antigen 2), IFITM3 (interferon induced transmembrane protein 3), GBP2 (guanylate binding protein 2), CD44 (CD44 molecule), FCER1G (Fc epsilon receptor Ig), HLA-DRA (major histocompatibility complex, class II, DR alpha), FCGR2A (Fc gamma receptor IIa), IFI16 (interferon gamma inducible protein 16), and FCGR3B (Fc gamma receptor IIIb)) were identified as hub genes, representing potential biomarkers and therapeutic targets associated with the immune response in SCZ patients.
Background: Vascular dementia (VD) is an extremely common neurological dysfunction in the elderly population, and greatly affects the patient's ability to take care of themselves. Recent research suggests that VD patients need more targeted and individualized nursing during treatment, so as to enhance cognitive function and therapeutic efficacy. The objective of this study is to observe the effect of reminiscence, reality, and remotivation (3R) nursing combined with dietary and nutritional interventions on elderly patients with VD, so as to provide clinical evidence for the management of VD in older adults.
Methods: 120 elderly VD patients admitted between December 2022 and December 2023 were selected, including 64 cases receiving 3R nursing combined with dietary and nutritional interventions (the research group) and 56 cases receiving routine nursing (the control group). The two groups were compared in terms of neurological function, self-care ability, and nutritional status before and after nursing, as well as nursing compliance. After the completion of the care, patients' quality of life and family satisfaction were investigated.
Results: In comparison with the control group, the research group displayed higher scores on the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), greater self-care ability, and higher levels of nutritional proteins and grip strength (p < 0.05). In addition, patients in the research group displayed greater nursing compliance and quality of life of patients, as well as higher family satisfaction (p < 0.05).
Conclusions: 3R nursing combined with dietary and nutritional interventions can effectively improve the neurological function of VD patients and enhance their self-care ability.
Background: Postpartum depression (PPD) is a common mental disorder in postpartum women, negatively impacting physical and mental health. Correlation analysis can predict the relationship between variables. By detecting the abnormal level of oxytocin, clinicians can timely know the emotional states of parturients to guide clinical practice. This study aimed to investigate the relationship between emotional states and oxytocin (OT) levels in patients with PPD.
Materials and methods: The medical records of 166 PPD patients admitted to Cangzhou Central Hospital from May 2020 to March 2023 were retrospectively analyzed. After excluding 9 patients who did not meet the inclusion criteria, the remaining 157 patients were included in this study. The 7-item Generalized Anxiety Disorder Scale and Patient Health Questionaire-9 items were used to evaluate the emotional states of 157 patients, and the included subjects were grouped according to the results of the scale. The serum OT levels of patients was measured, and the relationship between the OT levels and emotional states was analyzed.
Results: In this study, 75 patients were included in the mild anxiety group, and 82 patients were included in the moderate and severe anxiety group. Seventy-nine patients were selected as the mild depression group, and 78 patients were included in the moderate and severe depression group. The mild anxiety group had a higher OT level than the moderate and severe anxiety group (Z = -10.121, p < 0.001). The mild depression group had a higher OT level than the moderate and severe depression group (Z = -9.758, p < 0.001). OT level was negatively correlated with anxiety and depression scores (r = -0.676, r = -0.665, p < 0.001).
Conclusion: There is a specific relationship between the emotional states of PPD patients and the OT levels in the body, and active clinical management strategies need to be implemented.
Background: The number of individuals diagnosed with Alzheimer's disease (AD) has increased, and it is estimated to continue rising in the coming years. The diagnosis of this disease is challenging due to variations in onset and course, its diverse clinical manifestations, and the indications for measuring deposit biomarkers. Hence, there is a need to develop more precise and less invasive diagnostic tools. Multiple studies have considered using electroencephalography (EEG) entropy measures as an indicator of the onset and course of AD. Entropy is deemed suitable as a potential indicator based on the discovery that variations in its complexity can be associated with specific pathologies such as AD.
Methodology: Following PRISMA guidelines, a literature search was conducted in 4 scientific databases, and 40 articles were analyzed after discarding and filtering.
Results: There is a diversity in entropy measures; however, Sample Entropy (SampEn) and Multiscale Entropy (MSE) are the most widely used (21/40). In general, it is found that when comparing patients with controls, patients exhibit lower entropy (20/40) in various areas. Findings of correlation with the level of cognitive decline are less consistent, and with neuropsychiatric symptoms (2/40) or treatment response less explored (2/40), although most studies show lower entropy with greater severity. Machine learning-based studies show good discrimination capacity.
Conclusions: There is significant difficulty in comparing multiple studies due to their heterogeneity; however, changes in Multiscale Entropy (MSE) scales or a decrease in entropy levels are considered useful for determining the presence of AD and measuring its severity.
Background: The use of antidepressants, especially selective serotonin reuptake inhibitors (SSRIs), has been linked to adverse effects on bone health, but findings are conflicting. This study aimed to quantify the associations between newer antidepressants and bone mineral density (BMD) and fracture risk through a comprehensive meta-analysis.
Methods: Observational studies on the association between the use of novel antidepressants and BMD and hip fracture were systematically searched in PubMed, Embase, CINAHL, Cochrane Library, and Scopus. Random effects meta-analyses were conducted to pool results across the eligible studies. The heterogeneity, publication bias, and influence were assessed extensively.
Results: 14 eligible studies with 1,417,134 participants were identified. Antidepressant use was associated with significantly lower BMD compared to non-use at all skeletal sites examined, with pooled standardized mean differences (SMD) ranging from -0.02 (total hip) to -0.04 (femoral neck). Importantly, antidepressant use was associated with a 2.5-fold increased risk of hip fracture (pooled odds ratio (OR) 2.50, 95% CI 2.26-2.76). While heterogeneity was detected, the overall findings were robust in sensitivity analyses.
Conclusions: This meta-analysis provided strong evidence that novel antidepressants, especially widely used SSRIs, have detrimental impacts on bone health. The observed associations with decreased BMD and doubled hip fracture risk have important clinical implications.
Background: Treatment of Substance Use Disorder (SUD) is complex and therefore including patients in the therapeutic process is needed. Patient-Centered Care (PCC) and Shared Decision-Making (SDM) have been associated with greater satisfaction, self-control, and less substance use. However, correlates of SDM have not been investigated in this population.
Method: A cross-sectional analysis was carried out in 214 SUD patients to identify sociodemographic, clinical and psychological correlates of preferences and perceptions about participation in SDM and degree of activation. The Control Preference Scale (CPS), the Shared Decision-Making Questionnaire (SDM-9-Q) and the Patient Activation Measure (PAM) were used to assess the PCC elements. Multinomial logistic regression was used to analyze the correlates of the CPS variables (preferred role, perceived role, and role matching). For SDM-9-Q and PAM, multilevel linear regression was used.
Results: Preferring an active role, compared to a shared one, was significantly associated with higher educational level, lower neuroticism, absence of affective and alcohol use disorders, and higher quality of life. Perceiving greater participation was significantly associated with not being a new patient, having fewer legal problems, higher severity of alcohol consumption, not presenting polydrug use and main substance use different than opioids or sedatives. Activation was associated with higher scores in the personality trait activity, a preference for an active role and greater perception of being involved in the decision process.
Conclusions: Patients with milder clinical profiles prefer an active role compared to a shared one. Patients who prefer or perceive a shared or passive role did not show relevant differences. Greater activation was related to preference for an active role and the perception of having been involved in decisions.
Background: Psychiatric nurses are vulnerable to the menace of negative emotions due to the nature of their work and the closed environment in which they work. In this study, we aimed to investigate the incidence and influencing factors of depression among psychiatric nurses.
Methods: A cross-sectional survey method was adopted to investigate 64 nurses working in the psychiatric department of a hospital from June 2022 to June 2023. The Beck Depression Inventory (BDI) questionnaire was administered to all included respondents, who were divided into depressed group (>4 points) and non-depressed group (≤4 points) according to the BDI scores. General sociological and disease-related characteristics of these two groups were measured, and items with significant differences were analyzed by logistic regression to derive factors that have an impact on the occurrence of depression among psychiatric nurses.
Results: Twelve psychiatric nurses in the surveyed hospital exhibited signs of depressive symptoms, with a rate of 18.75%. The univariate analysis unveiled differences between the depressed group and the non-depressed group in terms of daily sleep time, weekly working hours, professional title, working pressure, physical exercise, length of service, and physical condition. Further analysis through logistic regression revealed that daily sleep time, weekly working hours, and physical condition were factors affecting the occurrence of depression among psychiatric nurses.
Conclusion: The vulnerability of psychiatric nurses to depression, which are potentially influenced by daily sleep hours, weekly working hours, and physical condition, deserves clinical attention so that countermeasures can be developed for early intervention.
Background: Previous observational studies have discovered a connection between depression and mineral status. Confirming this potential connection is challenging due to confounding factors and potential reverse causality which is inherent in observational studies.
Materials and methods: We performed a Mendelian randomization (MR) analysis to estimate the causal association of serum minerals with depression. Leveraging summary-level data on depression, a genome-wide association study (GWAS) was applied. The data on serum minerals were collected from the FinnGen Biobank database. MR assessments representing causality were produced by inverse-variance weighted approaches with multiplicative random and fixed effects.
Result: Sensitivity analyses were performed to validate the reliability of the results. A noteworthy correlation emerged between serum zinc levels and reduced risk of depression. An odds ratio (OR) of 0.917 for depression associated with a one standard deviation increase in serum zinc levels (OR = 0.968; 95% CI = 0.953-0.984, p = 1.19 × 10-4, random effects model inverse variance weighted (IVW)); (OR = 0.928; 95% CI = 0.634-1.358, p = 0.766, MR Egger). Sensitivity assessments supported this causation. However, the risk of depression did not exhibit an association with other minerals.
Conclusions: In summary, a higher zinc concentration is causally associated with a reduced depression risk. This MR outcome may assist clinicians in the regulation of specific mineral intake, particularly for high-risk patients with serum zinc deficiencies.
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