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  • Frontiers Media SA  (8)
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  • Frontiers Media SA  (8)
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  • 1
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 14 ( 2023-2-14)
    Abstract: The presence of heterogenous somatic symptoms frequently obscures the recognition of depression in primary care. We aimed to explore the association between somatic symptoms and subthreshold depression (SD) and Major Depressive Disorder (MDD), as well as to determine the predictive potential of somatic symptoms in identifying SD and MDD in primary care. Methods Data were derived from the Depression Cohort in China study (ChiCTR registry number: 1900022145). The Patient Health Questionnaire-9 (PHQ-9) was used to assess SD by trained general practitioners (GPs), and the Mini International Neuropsychiatric Interview depression module was used to diagnose MDD by professional psychiatrists. Somatic symptoms were assessed using the 28-item Somatic Symptoms Inventory (SSI). Results In total of 4,139 participants aged 18–64 years recruited from 34 primary health care settings were included. The prevalence of all 28 somatic symptoms increased in a dose-dependent manner from non-depressed controls to SD, and to MDD ( P for trend & lt;0.001). Hierarchical clustering analysis grouped the 28 heterogeneous somatic symptoms into three clusters (Cluster 1: energy-related symptoms, Cluster 2: vegetative symptoms, and Cluster 3: muscle, joint, and central nervous symptoms). Following adjustment for potential confounders and the other two clusters of symptoms, per 1 increase of energy-related symptoms exhibited significant association with SD ( OR = 1.24, 95% CI , 1.18–1.31) and MDD ( OR = 1.50, 95% CI , 1.41–1.60) The predictive performance of energy-related symptoms in identifying individuals with SD ( AUC = 0.715, 95% CI , 0.697–0.732) and MDD ( AUC = 0.941, 95% CI , 0.926–0.963) was superior to the performance of total SSI and the other two clusters ( P & lt; 0.05). Conclusions Somatic symptoms were associated with the presence of SD and MDD. In addition, somatic symptoms, notably those related to energy, showed good predictive potential in identifying SD and MDD in primary care. The clinical implication of the present study is that GPs should consider the closely related somatic symptoms for early recognition for depression in practice.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2564218-2
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  • 2
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Psychiatry Vol. 12 ( 2021-7-19)
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 12 ( 2021-7-19)
    Abstract: Functional and structural disturbances in the orbitofrontal–striatal–thalamic circuitry are thought to be associated with mental symptoms and neurocognitive impairments in schizophrenia. This study tested whether synapse-associated protein 97 (SAP97), a reasonable candidate gene for schizophrenia, is related to orbitofrontal–striatal–thalamic connection changes in first-episode schizophrenia (FES) patients and the clinical performance of schizophrenic patients by affecting this integrity. Fifty-two FES patients and 52 matched healthy controls were recruited. All subjects underwent genotyping via the improved multiplex ligation detection reaction technique and scanning with magnetic resonance imaging (MRI) to provide orbitofrontal–striatal–thalamic functional and structural imaging data. A two-way analysis of covariance model was employed to examine abnormal brain connectivities, and Spearman correlations were applied to estimate the relationships between brain connectivity and clinical manifestations. In the FES group, those with the SAP97 rs3915512 TT genotype showed lower structural and functional connectivity than A allele carriers between the orbitofrontal gyrus and striatum/thalamus. In the FES group, negative correlations were found between resting-state functional connectivity (RSFC) in the orbitofrontal gyrus and thalamus, and positive symptoms between structural connections in the orbitofrontal gyrus and striatum and cognitive functions, and positive correlations were suggested between RSFC in the orbitofrontal gyrus and thalamus and negative symptoms. Our findings suggested that the SAP97 rs3915512 polymorphism may be involved in mental symptoms and cognitive dysfunction in FES patients by influencing structural and functional connectivity of the orbitofrontal–striatal and orbitofrontal–thalamic regions.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2564218-2
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  • 3
    Online Resource
    Online Resource
    Frontiers Media SA ; 2019
    In:  Frontiers in Genetics Vol. 10 ( 2019-5-28)
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 10 ( 2019-5-28)
    Type of Medium: Online Resource
    ISSN: 1664-8021
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2019
    detail.hit.zdb_id: 2606823-0
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  • 4
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    Frontiers Media SA ; 2021
    In:  Frontiers in Genetics Vol. 12 ( 2021-2-23)
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 12 ( 2021-2-23)
    Abstract: Objective : To investigate the effects of microRNA-137 ( MIR137 ) polymorphisms (rs1198588 and rs2660304) on the risk of schizophrenia in a Han Chinese population. Methods : Schizophrenia was diagnosed according to the DSM-5. Clinical symptoms and cognitive functions were assessed with the Positive and Negative Symptom Scale (PANSS) and Brief Assessment of Cognition in Schizophrenia (BACS), respectively. The polymorphisms were genotyped by improved multiplex ligation detection reaction (iMLDR) technology in 1,116 patients with schizophrenia and 1,039 healthy controls. Results : Significant associations were found between schizophrenia and MIR137 in the distributions of genotypes ( p = 0.037 for rs1198588; p = 0.037 for rs2660304, FDR corrected) and alleles ( p = 0.043 for rs1198588; p = 0.043 for rs2660304, FDR corrected) of two SNPs. When the population was stratified by sex, we found female-specific associations between MIR137 and schizophrenia in terms of genotype and allele distributions of rs1198588 ( χ 2 = 4.41, p = 0.036 and χ 2 = 4.86, p = 0.029, respectively, FDR corrected) and rs2660304 ( χ 2 = 4.74, p =0.036 and χ 2 = 4.80, p = 0.029, respectively, FDR corrected). Analysis of the MIR137 haplotype rs1198588-rs2660304 showed a significant association with schizophrenia in haplotype T-T [ χ 2 = 4.60, p = 0.032, OR = 1.32, 95% CI (1.02–1.70)]. Then, significant female-specific associations were found with the haplotypes T-T and G-A [ χ 2 = 4.92, p = 0.027, OR = 1.62, 95% CI (1.05–2.50); χ 2 = 4.42, p = 0.035, OR = 0.62, 95% CI (0.39–0.97), respectively]. When the TT genotype of rs1198588 was compared to the GT+GG genotype, a clinical characteristics analysis also showed a female-specific association in category instances ( t = 2.76, p = 0.042, FDR corrected). Conclusion : The polymorphisms within the MIR137 gene are associated with susceptibility to schizophrenia, and a female-specific association of MIR137 with schizophrenia was reported in a Han Chinese population.
    Type of Medium: Online Resource
    ISSN: 1664-8021
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2606823-0
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  • 5
    Online Resource
    Online Resource
    Frontiers Media SA ; 2020
    In:  Frontiers in Genetics Vol. 11 ( 2020-10-8)
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 11 ( 2020-10-8)
    Type of Medium: Online Resource
    ISSN: 1664-8021
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2606823-0
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  • 6
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Endocrinology Vol. 12 ( 2021-12-16)
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 12 ( 2021-12-16)
    Abstract: Previous evidence indicates that birth season is associated with type 2 diabetes in adults. However, information on the association of birth with gestational diabetes mellitus (GDM) is lacking. The present study explores the association between birth seasonality and GDM in East China. Methods This retrospective cohort study was conducted at the International Peace Maternal and child health hospital between 2014 and 2019. A total of 79, 292 pregnant women were included in the study after excluding participants with previous GDM, stillbirth, polycystic ovary syndrome, and lack of GDM laboratory records. The multivariate logistic regression model was employed to estimate the odds ratio and 95% confidence interval. After log transformation of blood glucose level, the percentage change and 95% confidence interval were estimated by a multivariate linear model. Results The risk of GDM among pregnant women born in spring, autumn, and winter was not significantly different compared to that among participants born in summer. Pregnant women born in autumn had significantly higher 1-hour postprandial blood glucose (PBG-1h) and 2-hour postprandial blood glucose (PBG-2h) levels than pregnant women born in summer. Compared to pregnant women born in August, the PBG-1h level of pregnant women born in October, November, and December increased significantly, whereas the PBG-2h levels of pregnant women born in November and December increased significantly. Conclusion Pregnant women born in autumn exhibit higher postprandial blood glucose levels during pregnancy than in those born in summer. The findings provide evidence that exposure to seasonal changes in early life may influence blood glucose metabolism during pregnancy.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2592084-4
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  • 7
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Molecular Neuroscience Vol. 14 ( 2021-11-1)
    In: Frontiers in Molecular Neuroscience, Frontiers Media SA, Vol. 14 ( 2021-11-1)
    Abstract: This research aimed to investigate the role of glyoxalase 1 (Glo-1) polymorphisms in the susceptibility of schizophrenia. Using the real-time polymerase chain reaction (PCR) and spectrophotometric assays technology, significant differences in Glo-1 messenger ribonucleic acid (mRNA) expression ( P = 3.98 × 10 −5 ) and enzymatic activity ( P = 1.40 × 10 −6 ) were found in peripheral blood of first-onset antipsychotic-naïve patients with schizophrenia and controls. The following receiver operating characteristic (ROC) curves analysis showed that Glo-1 could predict the schizophrenia risk ( P = 4.75 × 10 −6 in mRNA, P = 1.43 × 10 −7 in enzymatic activity, respectively). To identify the genetic source of Glo-1 risk in schizophrenia, Glo-1 polymorphisms (rs1781735, rs1130534, rs4746, and rs9470916) were genotyped with SNaPshot technology in 1,069 patients with schizophrenia and 1,023 healthy individuals. Then, the impact of risk polymorphism on the promoter activity, mRNA expression, and enzymatic activity was analyzed. The results revealed significant differences in the distributions of genotype ( P = 0.020, false discovery rate (FDR) correction) and allele ( P = 0.020, FDR correction) in rs1781735, in which G & gt; T mutation significantly showed reduction in the promoter activity ( P = 0.016), mRNA expression, and enzymatic activity (P = 0.001 and P = 0.015, respectively, GG vs. TT, in peripheral blood of patients with schizophrenia) of Glo-1. The expression quantitative trait locus (eQTL) findings were followed up with the resting-state functional magnetic resonance imaging (fMRI) analysis. The TT genotype of rs1781735, associated with lower RNA expression in the brain ( P & lt; 0.05), showed decreased neuronal activation in the left middle frontal gyrus in schizophrenia ( P & lt; 0.001). In aggregate, this study for the first time demonstrates how the genetic and biochemical basis of Glo-1 polymorphism culminates in the brain function changes associated with increased schizophrenia risk. Thus, establishing a combination of multiple levels of changes ranging from genetic variants, transcription, protein function, and brain function changes is a better predictor of schizophrenia risk.
    Type of Medium: Online Resource
    ISSN: 1662-5099
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2452967-9
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  • 8
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 9 ( 2018-9-26)
    Type of Medium: Online Resource
    ISSN: 1664-0640
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2018
    detail.hit.zdb_id: 2564218-2
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