Genome-wide association analysis reveals potential genetic correlation and causality between circulating inflammatory proteins and amyotrophic lateral sclerosis.

BACKGROUND: Amyotrophic Lateral Sclerosis (ALS), a fatal neurodegenerative disease, continues to elude complete comprehension of its pathological underpinnings. Recent focus on inflammation in ALS pathogenesis prompts this investigation into the genetic correlation and potential causal relationships between circulating inflammatory proteins and ALS. METHODS: Genome-wide association study (GWAS) data encompassing 91 circulating inflammatory protein measures from 14,824 individuals of European ancestry, alongside records from 27,205 ALS cases and 110,881 controls, were employed. Assessment of genetic correlation and overlap utilized LD score regression (LDSC), high-definition likelihood (HDL), and genetic analysis integrating pleiotropy and annotation (GPA) methodologies. Identification of shared genetic loci involved pleiotropy analysis, functional mapping and annotation (FUMA), and co-localization analysis. Finally, Mendelian randomization was applied to probe causal relationships between inflammatory proteins and ALS. RESULTS: Our investigation revealed significant genetic correlation and overlap between ALS and various inflammatory proteins, including C-C motif chemokine 28, Interleukin-18, C-X-C motif chemokine 1, and Leukemia inhibitory factor receptor (LIFR). Pleiotropy analysis uncovered shared variations at specific genetic loci, some of which bore potential harm. Mendelian randomization analysis suggested that alterations in specific inflammatory protein levels, notably LIFR, could impact ALS risk. CONCLUSIONS: Our findings uncover a genetic correlation between certain circulating inflammatory proteins and ALS, suggesting their possible causal involvement in ALS pathogenesis. Moreover, the identification of LIFR as a crucial protein may yield new insights into ALS pathomechanisms and offer a promising avenue for therapeutic interventions. These discoveries provide novel perspectives for advancing the comprehension of ALS pathophysiology and exploring potential therapeutic avenues.

Two-sample Mendelian randomization analysis of 91 circulating inflammatory protein levels and amyotrophic lateral sclerosis.

Introduction: Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease with poorly understood pathophysiology. Recent studies have highlighted systemic inflammation, especially the role of circulating inflammatory proteins, in ALS. Methods: This study investigates the potential causal link between these proteins and ALS. We employed a two-sample Mendelian Randomization(MR) approach, analyzing data from large-scale genome-wide association studies to explore the relationship between 91 circulating inflammatory proteins and ALS. This included various MR methods like MR Egger, weighted median, and inverse-variance weighted, complemented by sensitivity analyses for robust results. Results: Significant associations were observed between levels of inflammatory proteins, including Adenosine Deaminase, Interleukin-17C, Oncostatin-M, Leukemia Inhibitory Factor Receptor, and Osteoprotegerin, and ALS risk. Consistencies were noted across different P-value thresholds. Bidirectional MR suggested that ALS risk might influence levels of certain inflammatory proteins. Discussion: Our findings, via MR analysis, indicate a potential causal relationship between circulating inflammatory proteins and ALS. This sheds new light on ALS pathophysiology and suggests possible therapeutic targets. Further research is required to confirm these results and understand the specific roles of these proteins in ALS.

Mechanism of electroconvulsive therapy in schizophrenia: a bioinformatics analysis study of RNA-seq data.

OBJECTIVE: The molecular mechanism of electroconvulsive therapy (ECT) for schizophrenia remains unclear. The aim of this study was to uncover the underlying biological mechanisms of ECT in the treatment of schizophrenia using a transcriptional dataset. METHODS: The peripheral blood mRNA sequencing data of eight patients (before and after ECT) and eight healthy controls were analyzed by integrated co-expression network analysis and the differentially expressed genes were analyzed by cluster analysis. Gene set overlap analysis was performed using the hypergeometric distribution of phypfunction in R. Associations of these gene sets with psychiatric disorders were explored. Tissue-specific enrichment analysis, gene ontology enrichment analysis, and protein-protein interaction enrichment analysis were used for gene set organization localization and pathway analysis. RESULTS: We found the genes of the green-yellow module were significantly associated with the effect of ECT treatment and the common gene variants of schizophrenia ( P  = 0.0061; family-wise error correction). The genes of the green-yellow module are mainly enriched in brain tissue and mainly involved in the pathways of neurotrophin, mitogen-activated protein kinase and long-term potentiation. CONCLUSION: Genes associated with the efficacy of ECT were predominantly enriched in neurotrophin, mitogen-activated protein kinase and long-term potentiation signaling pathways.

Peripheral Interleukin-18 is negatively correlated with abnormal brain activity in patients with depression: a resting-state fMRI study.

BACKGROUND: Interleukin-18 (IL-18) may participate in the development of major depressive disorder, but the specific mechanism remains unclear. This study aimed to explore whether IL-18 correlates with areas of the brain associated with depression. METHODS: Using a case-control design, 68 subjects (34 patients and 34 healthy controls) underwent clinical assessment, blood sampling, and resting-state functional Magnetic Resonance Imaging (fMRI). The total Hamilton depression-17 (HAMD-17) score was used to assess depression severity. Enzyme-linked immunosorbent assay (ELISA) was used to detect IL-18 levels. Rest-state fMRI was conducted to explore spontaneous brain activity. RESULTS: The level of IL-18 was higher in patients with depression in comparison with healthy controls. IL-18 was negatively correlated with degree centrality of the left posterior cingulate gyrus in the depression patient group, but no correlation was found in the healthy control group. CONCLUSION: This study suggests the involvement of IL-18 in the pathophysiological mechanism for depression and interference with brain activity.

A Combined Analysis of Genetically Correlated Traits Identifies Genes and Brain Regions for Insomnia.

AIMS: Previous studies have inferred that there is a strong genetic component in insomnia. However, the etiology of insomnia is still unclear. This study systematically analyzed multiple genome-wide association study (GWAS) data sets with core human pathways and functional networks to detect potential gene pathways and networks associated with insomnia. METHODS: We used a novel method, multitrait analysis of genome-wide association studies (MTAG), to combine 3 large GWASs of insomnia symptoms/complaints and sleep duration. The i-Gsea4GwasV2 and Reactome FI programs were used to analyze data from the result of MTAG analysis and the nominally significant pathways, respectively. RESULTS: Through analyzing data sets using the MTAG program, our sample size increased from 113,006 subjects to 163,188 subjects. A total of 17 of 1,816 Reactome pathways were identified and showed to be associated with insomnia. We further revealed 11 interconnected functional and topologically interacting clusters (Clusters 0 to 10) that were associated with insomnia. Based on the brain transcriptome data, it was found that the genes in Cluster 4 were enriched for the transcriptional coexpression profile in the prenatal dorsolateral prefrontal cortex (P = 7 × 10-5), inferolateral temporal cortex (P = 0.02), medial prefrontal cortex (P < 1 × 10-5), and amygdala (P < 1 × 10-5), and detected RPA2, ORC6, PIAS3, and PRIM2 as core nodes in these 4 brain regions. CONCLUSIONS: The findings provided new genes, pathways, and brain regions to understand the pathology of insomnia.

Plasma neuropeptides as circulating biomarkers of multifactorial schizophrenia.

BACKGROUND: Promising biomarkers would be used to improve the determination of diagnosis and severity, as well as the prediction of symptomatic and functional outcomes of schizophrenia. BASIC PROCEDURES: In this study, we used three different mouse models induced by a genetic factor (PV-Cre; ErbB4-/-, G group), an environmental stressor (adolescent social isolation, G group), and a combination of genetic factor and environmental stressor (PV-Cre; ErbB4-/- mice with isolation, G × E group). Attenuated PPI (%) confirmed the successful establishment of three schizophrenia-like mouse models. To evaluate whether neuropeptide levels in plasma would be potential biomarkers of different schizophrenia models in our work, we used MILLIPLEX® MAP method to simultaneously measure 6 critical neuropeptides in plasma. MAIN FINDINGS: Among the evaluated neuropeptides, increased neurotensin tends to be associated with genetic factors of schizophrenia, increased orexin A seems to be a biomarker of an interplay between genetic and social isolation, while higher plasma oxytocin might be more apt to be responsive to social isolation. The potential biomarkers are mostly independent of sex. CONCLUSIONS: This research would provide novel clues to develop circulating biomarkers of plasma neuropeptides for multifactorial schizophrenia.

Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia.

BACKGROUND: Previous studies have inferred a strong genetic component for insomnia. However, the etiology of insomnia is still unclear. The aim of the current study was to explore potential biological pathways, gene networks, and brain regions associated with insomnia. METHODS: Using pathways (gene sets) from Reactome, we carried out a two-stage gene set enrichment analysis strategy. From a large genome-wide association studies (GWASs) of insomnia symptoms (32,155 cases/26,973 controls), significant gene sets were tested for replication in other large GWASs of insomnia complaints (32,384 cases/80,622 controls). After the network analysis of unique genes within the replicated pathways, a gene set analysis for genes in each cluster/module of the enhancing neuroimaging genetics through meta-analysis GWAS data was performed for the volumes of the intracranial and seven subcortical regions. RESULTS: A total of 31 of 1,816 Reactome pathways were identified and showed associations with insomnia risk. In addition, seven functionally and topologically interconnected clusters (clusters 0-6) and six gene modules (named Yellow, Blue, Brown, Green, Red, and Turquoise) were associated with insomnia. Moreover, significant associations were detected between common variants of the genes in Cluster 2 with hippocampal volume (p = 0.035; family wise error [FWE] correction) and the red module with intracranial volume (p = 0.047; FWE correction). Functional enrichment for genes in the Cluster 2 and the Red module revealed the involvement of immune responses, nervous system development, NIK/NF-kappaB signaling, and I-kappaB kinase/NF-kappaB signaling. Core genes (UBC, UBB, and UBA52) in the interconnected functional network were found to be involved in regulating brain development. CONCLUSIONS: The current study demonstrates that the immune system and the hippocampus may play central roles in neurodevelopment and insomnia risk.

Systematic genetic analyses of genome-wide association study data reveal an association between the key nucleosome remodeling and deacetylase complex and bipolar disorder development.

BACKGROUND: Genome-wide association studies (GWASs) are used to identify genetic variants for association with bipolar disorder (BD) risk; however, each GWAS can only reveal a small fraction of this association. This study systematically analyzed multiple GWAS data sets to provide further insights into potential causal BD processes by integrating the results of Psychiatric Genomics Consortium Phase I (PGC-I) for BD with core human pathways and functional networks. METHODS: The i-Gsea4GwasV2 program was used to analyze data from the PGC-I GWAS for BD (the pathways came from Reactome), as well as the nominally significant pathways. We established a gene network of the significant pathways and performed a gene set analysis for each gene cluster of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) GWAS data for the volumes of the intracranial region and seven subcortical regions. RESULTS: A total of 30 of 1816 Reactome pathways were identified and showed associations with BD risk. We further revealed 22 interconnected functional and topologically interacting clusters (Clusters 0-21) that were associated with BD risk. Moreover, we obtained brain transcriptome data from BrainSpan and found significant associations between common variants of the genes in Cluster 1 with the hippocampus (HIP; P = .026; family-wise error [FWE] correction) and amygdala (AMY; P = .016; FEW correction) in Cluster 8 with HIP (P = .022; FWE correction). The genes in Cluster 1 were enriched for the transcriptional co-expression profile in the prenatal AMY, and core genes (CDH4, MTA2, RBBP4, and HDAC2) were identified to be involved in regulating early brain development. CONCLUSION: This study demonstrated that the HIP and AMY play a central role in neurodevelopment and BD risk.

[Association of Val66Met polymorphism of brain-derived neurotrophic factor gene with cognitive impairment and clinical symptoms in first episode schizophrenia].

OBJECTIVE: To assess the association of cognitive impairment and clinical symptoms in first-episode schizophrenia with the Val66Met (rs6265) polymorphism of brain-derived neurotrophic factor (BDNF) gene. METHODS: For 87 patients with first-episode schizophrenia and 76 healthy controls, the Val66Met polymorphism was determined with a Taqman Assay-on-Demand method. Wechsler intelligence test was carried out for all participants. Correlation of cognitive impairment with clinical severity was also analyzed. RESULTS: The patients were significantly lower in total IQ, verbal IQ and performance IQ compared to the controls. The lower total IQ (F=4.59, P= 0.01) and verbal IQ (F=4.44, P=0.01) were influenced by genetic factors and diagnostic interaction. The vertal IQ of Val/Val patients was significantly lower than those of Val/Met and Met/Met carriers. For the control group, the verbal IQ of Met/Met carriers was lower than that of Val/Met carriers, and the total IQ of Met/Met carriers was lower than those of Val/Met and Val/Val carriers. For the patient group, the total IQ of Val/Val carriers was negatively correlated with positive symptoms (r=-0.65, P=0.03) and thought disorders (r=-0.61, P=0.02). CONCLUSION: Cognitive impairment in first-episode schizophrenic patients is associated with the Val66Met polymorphism of the BDNF gene, and has an important clinical relevance.

[Pathway-focused correlation study of genome-wide methylation status with visual memory].

OBJECTIVE To explore the biological processes and pathways associated with memory function which may be regulated by gene promoter methylation. METHODS The genome-wide promoter methylation statuses in 9 healthy individuals were analyzed with a Multiplex HG18 CpG Promoter chip. Genes with promoter methylation statuses strongly correlated with both immediate and delayed visual memory function were preceded for pathway and physical interactions analysis. RESULTS Sixty nine genes have been correlated with both immediate and delayed visual memory functions. Twenty two pathways, with a Q-value of < 0.05, were identified by the pathway and physical interactions analysis, which included energy metabolism, axon guidance, tyrosine kinase activity, anterograde synaptic vesicle transport, and leukocyte migration and differentiation. CONCLUSION Pathways related with memory function may be regulated by DNA methylation.

[Association of gender, age, education and polymorphism of DRD4 gene with cognitive functions in adults].

OBJECTIVE: To assess the association of cognitive functions with gender, age, education and polymorphism of dopamine receptor D4 (DRD4) gene in healthy adults. METHODS: Four hundred and fifty-five healthy participants have completed 3 cognitive function tests including Tower of Hanoi (TOH), Wisconsin Card Sorting Test (WCST) and Trail Making Test (TMT). Peripheral blood samples were collected from all participants, and genomic DNA was extracted according to a standard phenol-chloroform procedure. Rs3758653 in the promoter region of the DRD4 gene was genotyped using Illumina GoldenGate genotyping assay. RESULTS: Males have performed better than females in terms of TOH executive time and TOH total score, but did worse in TOH planning time. Most of the measured cognitive domains were affected by age and education. Cognitive ability has decreased along with increased age and decline of educational years. The polymorphism of rs3758653 has mainly correlated with the TOH executive time. Compared with A allele carriers, G allele carriers did worse in TOH executive time. CONCLUSION: Gender, age, education and the rs3758653 polymorphism of the DRD4 gene play an important role in cognitive functions in healthy adults.

[Regulation of PI3K-Akt-GSK3ß signaling pathway in U251 cells by risperidone].

OBJECTIVE: To investigate the effect of risperidone, an antipsychotic drug, on the Akt-GSK3ß pathway and the role of PI3K in dopamine D2 receptor (DRD2) expression and Akt-GSK3ß signal pathway. METHODS: Human glioma cells (U251) were cultured in vitro. Cells without any treatment as control, Western blotting was used for measuring the expression of Akt (Thr308 and Ser473) and GSK3ß (Ser9) protein phosphorylation by risperidone and LY294002 in U251 cell, and real-time PCR was used for detecting the expression of DRD2 mRNA. RESULTS: Risperidone has significantly enhanced the expression of phosphorylated Akt and phosphorylated GSK3ß (P< 0.05), but did not alter the mRNA expression of DRD2. LY294002 could reduce the phosphorylation of Akt and GSK3ß (P< 0.01, P< 0.05), and also decrease the DRD2 mRNA (P<0 .05). CONCLUSION: Risperidone can activate the Akt-GSK3ß signaling pathway in the U251 cells, and PI3K is a common regulatory site in Akt-GSK3ß signaling and D2 receptor gene expression.

[Lack of association of COMT Val158Met polymorphism with attention and executive function in patients with schizophrenia].

OBJECTIVE: To explore the association of a functional polymorphism Val158Met of COMT gene and attention and executive function in first-episode treatment-naive patients with schizophrenia and healthy controls. METHODS: Trail making test (TMT) and clinical performances were evaluated in 103 first-episode treatment-naive patients with schizophrenia and 99 healthy controls. Polymorphism of COMT Val158Met was analyzed using polymerase chain reaction-restriction fragment length polymorphism method. A general linear model was used to investigate the effect of genotype subgroups on the attention and executive function. RESULTS: There was a significant difference between control subjects and patients with schizophrenia on the TMT-A and B. However, no significant difference among Val/Val, Val/Met and Met/Met on the TMT-A and B in control subjects and patients with schizophrenia was detected. CONCLUSION: The association among COMT Met variant and trail making testing (attention and executive function) has been replicated. However, no association of COMT Met variant with disruption of dopaminergic influence on neurocognitive function was detected. This may be due to the heterogeneity of population.

Properties of extracellular matrix-like scaffolds for the growth and differentiation of endothelial progenitor cells.

BACKGROUND: To provide a new strategy for constructing small vascular graft, the survival conditions of endothelial progenitor cells (EPCs), which were seeded on two different groups of extracellular matrix (ECM) scaffolds were studied in vitro. MATERIALS AND METHODS: The scaffold was made with a mixture of fibrinogen, fibronectin, and laminin, which solidified to form unpressed structure. A 1N force could make it to be pressed. EPCs induced from cultures of rat mesenchymal stem cells were seeded on two different groups of ECM scaffolds: (1) pressed scaffolds; and (2) unpressed scaffolds. The survival conditions of cells on the two groups of scaffolds were reflected by properties below: cell attachment and proliferation detected by cell counting; differentiation of EPCs detected by changes in the cell morphology and the expression of endothelial marker von Willebrand factor (VWF) using immunofluorescence, immuno-blot, and real-time PCR; the two different scaffolds were characterized for their surface ultra-structures by SEM, and torques by a rheometer. RESULTS: The cells grew faster on the pressed scaffold (P<0.001) for the first 7 d. Furthermore, cells on the pressed scaffolds displayed more uniform shapes with morphology resembling that of endothelial cells than those on the unpressed scaffolds. VWF protein expressions were also higher in cells from the pressed scaffold. Real-time PCR showed correlated changes too. In addition, the pressed scaffold with EPCs showed the smallest torque value among all scaffolds (P<0.01). CONCLUSION: Pressed ECM-like scaffold promoted the survival condition of EPC. It may be used to promote endothelialization within the next generation of vascular grafts in vivo.