Background:Post-stroke depression (PSD) is a mental health condition that can develop after a stroke, with a higher risk of death and negative outcomes. However, limited research has explored how PSD incidence relates to brain locations in Chinese patients. This study aims to fill this gap by examining the link between PSD occurrence and brain lesion location, as well as the type of stroke experienced by the patient.Methods:We conducted a systematic search in databases to gather post-stroke depression literature published between January 1, 2015 and May 31, 2021. Following this, we performed a meta-analysis using RevMan to analyze the incidence of PSD associated with different brain regions and types of stroke separately.Results:We analyzed seven studies, with a total of 1604 participants. Our findings indicated that the incidence of PSD was higher when the stroke occurred in the left hemisphere compared to the right hemisphere (RevMan: Z = 8.93, P <0.001, OR = 2.69, 95% CI: 2.16-3.34, fixed model); PSD was more common when the stroke affected the cerebral cortex rather than the subcerebral cortex (RevMan: Z = 3.96, P <0.001, OR = 2.00, 95% CI: 1.42-2.81) and when it affected the anterior cortex compared to the posterior cortex (RevMan: Z = 3.85, P <0.001, OR = 1.89, 95% CI: 1.37-2.62). However, we did not find a significant difference in the occurrence of PSD between ischemic and hemorrhagic strokes (RevMan: Z = 0.62, P = 0.53, OR = 0.02, 95% CI: -0.05-0.09).Conclusions:Our findings revealed a higher likelihood of PSD in the left hemisphere, specifically in the cerebral cortex and anterior region.
BACKGROUND Neuropsychiatric disorders are highly heritable and have overlapping genetic underpinnings. Single nucleotide polymorphisms (SNPs) in the gene CACNA1C have been associated with several neuropsychiatric disorders, across multiple genome-wide association studies. METHOD A total of 70,711 subjects from 37 independent cohorts with 13 different neuropsychiatric disorders were meta-analyzed to identify overlap of disorder-associated SNPs within CACNA1C. The differential expression of CACNA1C mRNA in five independent postmortem brain cohorts was examined. Finally, the associations of disease-sharing risk alleles with total intracranial volume (ICV), gray matter volumes (GMVs) of subcortical structures, cortical surface area (SA), and average cortical thickness (TH) were tested. RESULTS Eighteen SNPs within CACNA1C were nominally associated with more than one neuropsychiatric disorder (P < .05); the associations shared among schizophrenia, bipolar disorder, and alcohol use disorder survived false discovery rate correction (five SNPs with P < 7.3 × 10-4 and q < 0.05). CACNA1C mRNA was differentially expressed in brains from individuals with schizophrenia, bipolar disorder, and Parkinson's disease, relative to controls (three SNPs with P < .01). Risk alleles shared by schizophrenia, bipolar disorder, substance dependence, and Parkinson's disease were significantly associated with ICV, GMVs, SA, or TH (one SNP with P ≤ 7.1 × 10-3 and q < 0.05). CONCLUSION Integrating multiple levels of analyses, we identified CACNA1C variants associated with multiple psychiatric disorders, and schizophrenia and bipolar disorder were most strongly implicated. CACNA1C variants may contribute to shared risk and pathophysiology in these conditions.
Objectives Numerous genome-wide association studies have identified CACNA1C as one of the top risk genes for schizophrenia. As a necessary post-genome-wide association study (GWAS) follow-up, here, we focused on this risk gene, carefully investigated its novel risk variants for schizophrenia, and explored their potential functions. Methods We analyzed four independent samples (including three European and one African-American) comprising 5648 cases and 6936 healthy subjects to identify replicable single nucleotide polymorphism-schizophrenia associations. The potential regulatory effects of schizophrenia-risk alleles on CACNA1C mRNA expression in 16 brain regions (n = 348), gray matter volumes (GMVs) of five subcortical structures (n = 34 431), and surface areas and thickness of 34 cortical regions (n = 36 936) were also examined. Results A novel 17-variant block across introns 36-45 of CACNA1C was significantly associated with schizophrenia in the same effect direction across at least two independent samples (1.8 x 10(-4) <= P <= 0.049). Most risk variants within this block showed significant associations with CACNA1C mRNA expression (1.6 x 10(-3) <= P <= 0.050), GMVs of subcortical structures (0.016 <= P <= 0.048), cortical surface areas (0.010 <= P <= 0.050), and thickness (0.004 <= P <= 0.050) in multiple brain regions. Conclusion We have identified a novel and functional risk variant block at CACNA1C for schizophrenia, providing further evidence for the important role of this gene in the pathogenesis of schizophrenia. Psychiatr Genet 33: 182-190 Copyright (c) 2023 Wolters Kluwer Health, Inc. All rights reserved.
OBJECTIVE:To compare the clinical efficacy of penicillin and ceftriaxone sodium in the treatment of neurosyphilis with psychiatric symptoms.METHODS:50 neurosyphilis with mental symptoms patients were randomly divided into penicillin group (4 million units, Q4h) and ceftriaxone sodium group (1 g, Q12h). The total treatment time was 14 and 15 days respectively.The activity of daily living scale (ADL), brief psychiatric rating scale (BPRS) and mini-mental state examination (MMSE) were scored as the measurement of efficiency in living ability, mental symptoms and cognitive function.RESULT:There were no significant differences in ADL, MMSE and BPRS between the penicillin group and the ceftriaxone sodium treatment group (p > 0.05). After treatment, the score of BPRS and ADL decreased from baseline, while MMSE scores increased from baseline, having a main time effect (F=31.098,F=26.342,F= 79.916; p < 0.05).CONCLUSION:Penicillin or ceftriaxone sodium are both effective in the aspect of mental symptoms, cognitive function and life ability among neurosyphilis with psychiatric symptoms patients.