Objectives: To study the involvement of the N-acylsphingosine amidohydrolase 1 gene (ASAH1) in the susceptibility to schizophrenia in the Han Chinese population.
Methods: We performed cDNA microarray analysis to exam the gene expression profile in six schizophrenic patients and six healthy controls. We evaluated the ASAH1 expression levels in 30 subjects with chronic schizophrenia and 30 healthy controls by using real-time polymerase chain reaction (PCR). A total of 254 unrelated probands with schizophrenia and their biological parents were also genotyped at three single nucleotide polymorphisms (SNPs: rs3753118, rs3753116, and rs7830490) of the ASAH1 gene for association analysis.
Results: In the microarray analysis, the ASAH1 gene was down-regulated in all schizophrenic patients compared with healthy controls. In real-time PCR, the ASAH1 expression levels for schizophrenic patients with positive family history were significantly decreased (P = 0.020). In the association analyses, two SNPs (rs7830490 and rs3753118) and one haplotype (rs7830490 (A)-rs3753116 (G)) of ASAH1 showed significant evidence of nominal associations with schizophrenia (P = 0.026; P = 0.046; P = 0.007, respectively). The haplotype remained statistically significant (empirical P = 0.045) after correction for multiple testing.
Conclusions: This study supports that the ASAH1 gene may be a potential candidate gene for schizophrenia in Han Chinese subjects.
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http://dx.doi.org/10.3109/15622975.2011.559273 | DOI Listing |
EClinicalMedicine
January 2025
College of Competitive Sports, Beijing Sport University, Beijing, China.
Background: Given the distinctive physiological characteristics of pregnant women, non-pharmacological therapies are increasingly being used to improve depressive and anxiety symptoms. Our objective was to explore and compare the impact of various non-pharmacological interventions in improving depressive and anxiety symptoms, and to identify the most effective strategies for pregnant women with depressive and/or anxiety symptoms.
Methods: We conducted a systematic search of PubMed, Embase, the Cochrane Library, and Web of Science for randomized controlled trials (RCTs) that compared non-pharmacological interventions to usual care, from the inception of each database up to October 5, 2024.
Schizophr Bull
January 2025
Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China.
Background And Hypothesis: Population-based morphological covariance networks are widely reported to be altered in schizophrenia. Individualized morphological brain network approaches have emerged recently. We hypothesize that individualized morphological brain networks are disrupted in schizophrenia.
View Article and Find Full Text PDFPsychiatry Res
December 2024
Department of Translation and Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain; Catalan Institute for Advanced Studies and Research (ICREA), Barcelona, Spain.
Narrative speech production requires the retrieval of concepts to refer to entities, which need to be referenceable more than once for any form of narrative coherence to arise. Such coherence has long been observed to be affected in schizophrenia spectrum disorders (SSD), yet the underlying mechanisms have been a longstanding puzzle, with existing evidence predominantly derived from Indo-European languages. Here we analyzed two picture descriptions from 22 native Mandarin Chinese speakers with SSD and 15 healthy controls.
View Article and Find Full Text PDFSci Adv
January 2025
Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21287, USA.
DNA methylation (DNAm) is essential for brain development and function and potentially mediates the effects of genetic risk variants underlying brain disorders. We present INTERACT, a transformer-based deep learning model to predict regulatory variants affecting DNAm levels in specific brain cell types, leveraging existing single-nucleus DNAm data from the human brain. We show that INTERACT accurately predicts cell type-specific DNAm profiles, achieving an average area under the receiver operating characteristic curve of 0.
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