Search

As one of the most important urban infrastructure systems, the road network plays a vital role in post-earthquake emergency response. Quantitative evaluation of the emergency response functionality of road network under earthquakes can provide decision support for emergency planning and future construction. In this paper, a novel network performance metric is proposed to consider both the special traffic demand in emergency response and the supply capability of road network. On this basis, an integrated probabilistic assessment framework for post-earthquake network emergency response functionality is presented, considering various uncertainties. In the framework, a penalty-based approach is proposed to consider the impact of partially degraded links on network functionality. At last, the proposed methodology is illustrated on the road network of Tangshan city, China, under different seismic scenarios. [ABSTRACT FROM AUTHOR]

Background: Internet gaming disorder (IGD) is a type of behavioural addictions. One of the key features of addiction is the excessive exposure to addictive objectives (e.g. drugs) reduces the sensitivity of the brain reward system to daily rewards (e.g. money). This is thought to be mediated via the signals expressed as dopaminergic reward prediction error (RPE). Emerging evidence highlights blunted RPE signals in drug addictions. However, no study has examined whether IGD also involves alterations in RPE signals that are observed in other types of addictions. Methods: To fill this gap, we used functional magnetic resonance imaging data from 45 IGD and 42 healthy controls (HCs) during a reward-related prediction-error task and utilised a psychophysiological interaction (PPI) analysis to characterise the underlying neural correlates of RPE and related functional connectivity. Results: Relative to HCs, IGD individuals showed impaired reinforcement learning, blunted RPE signals in multiple regions of the brain reward system, including the right caudate, left orbitofrontal cortex (OFC), and right dorsolateral prefrontal cortex (DLPFC). Moreover, the PPI analysis revealed a pattern of hyperconnectivity between the right caudate, right putamen, bilateral DLPFC, and right dorsal anterior cingulate cortex (dACC) in the IGD group. Finally, linear regression suggested that the connection between the right DLPFC and right dACC could significantly predict the variation of RPE signals in the left OFC. Conclusions: These results highlight disrupted RPE signalling and hyperconnectivity between regions of the brain reward system in IGD. Reinforcement learning deficits may be crucial underlying characteristics of IGD pathophysiology. [ABSTRACT FROM AUTHOR]

Transportation network is of vital importance for city maintaining and reconstruction especially after extreme events. Decisions on the restoration plan of transportation network have to be made in a short period after event, but taking into account various decision-making criteria and resource constraints. This paper explains the essential problems in network restoration scheduling, and presents a novel resilience-based optimisation model for post-disaster urban transportation network restoration. The proposed method could obtain a set of general optimal restoration schedules in an efficient manner, so that decision-makers could make a final choice by weighting other preferences and experience. In the methodology, a new travel speed-based metric is introduced for performance assessment of transportation network, and three normalised independent indicators are developed to characterise network resilience from the perspective of functionality curve. Furthermore, a bi-objective optimisation model based on the recovery trajectory is recommended to search for non-dominated optimal restoration schedules. To illustrate the proposed method, heuristic algorithms are used to solve the restoration schedule optimisation problem of a hypothetical transportation network. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Abstract: Conductive hydrogels are a promising class of materials to design bioelectronics for new technological interfaces with human body, which are required to work for a long‐term or under extreme environment. Traditional hydrogels are limited in short‐term usage under room temperature, as it is difficult to retain water under cold or hot environment. Inspired by the antifreezing/antiheating behaviors from nature, and based on mussel chemistry, an adhesive and conductive hydrogel is developed with long‐lasting moisture lock‐in capability and extreme temperature tolerance, which is formed in a binary‐solvent system composed of water and glycerol. Polydopamine (PDA)‐decorated carbon nanotubes (CNTs) are incorporated into the hydrogel, which assign conductivity to the hydrogel and serve as nanoreinforcements to enhance the mechanical properties of the hydrogel. The catechol groups on PDA and viscous glycerol endow the hydrogel with high tissue adhesiveness. Particularly, the hydrogel is thermal tolerant to maintain all the properties under extreme wide tempreature spectrum (−20 or 60 °C) or stored for a long term. In summary, this mussel‐inspired hydrogel is a promising material for self‐adhesive bioelectronics to detect biosignals in cold or hot environments, and also as a dressing to protect skin from injuries related to frostbites or burns. [ABSTRACT FROM AUTHOR]

Exposure to heavy metals considered a major risk factor for mental health. Examining how heavy metals in blood are associated with depression in individuals of various body mass indexes. A total sample of 15,560 individuals was screened, with 4355 participants finally enrolled to study. The PHQ-9 was used to assess participants' depressive symptoms. A logistic regression analysis was used to investigate the relationship between the levels of heavy metals in the blood and the depression. Serum cadmium levels were found to be associated with risk of depression, with an odds ratio of 2.247 (95 % CI : 1.584–3.244). However, no significant correlations were observed between depression and blood levels of lead, selenium, and manganese. Subgroup analysis was performed and found that higher Cd concentrations were associated with a greater risk of depression at the same BMI. With the same Cd concentration, the risk of depression was lowest when participants' BMI was ≥30 kg/m2 and increased with increasing BMI when participants' BMI was <30 kg/m2. It is not possible to analyze the effect of external exposure to Cd. Cd in blood may be positively correlated with depression in American adults, and the effect of this trend is different in people with different body mass indices. With the increase in BMI, the risk gradually rises. However, it is lowest among obese people. • Blood Cd exposure and depression were more pronounced. • The correlation between blood Cd and depression was different. • Heavy metal exposure increased the risk of depression gradually. [ABSTRACT FROM AUTHOR]

Foliar spray of selenium (Se) has increasingly been applied to improve Se concentrations in crops. There is a lack of systematic and in-depth study comparing the effects of foliar spray with different Se sources at different growth stages. In this study, selenite or selenate (75 g Se ha −1 ) was sprayed to the foliage of rice plants at the late tillering or full heading stage. Se concentrations in different parts of rice plants were determined to assess the effects of foliar spray with different Se sources at different growth stages on Se distribution in the plant, Se metabolism in the grains, and Se recovery efficiency in the brown rice. At the same spraying stages, total Se, organic Se, and protein Se concentrations in brown rice obtained with selenate were ∼2-fold those obtained with selenite. With the same Se sources, total Se, organic Se, and protein Se concentrations in brown rice treated at full heading were 2-fold higher than those treated at late tillering. The delay of spraying stage decreased the distribution ratio of Se in straw and roots, while it increased the distribution ratio of Se in grain; this trend was more evident with selenate. The proportions of organic Se and protein Se in brown rice showed no differences between selenite and selenate treatments at the same stages. The delay of spraying stage decreased the proportions of organic Se and protein Se in brown rice (still up to 80% and 44%, respectively), whereas the recovery efficiency of Se was improved in brown rice by more than 1-fold. In conclusion, appropriately delaying the spraying stage and selecting selenate as the Se source can be more efficient for producing Se-enriched rice. [ABSTRACT FROM AUTHOR]

Background and objectives: Cognitive impairment is a core feature of schizophrenia, and it is now clear that there is a link between nutritional indicators and cognitive functioning. This study aimed to investigate correlations between three nutritional indicators (prognostic nutritional index [PNI], geriatric nutritional risk index [GNRI], and controlling nutritional status score [CONUT]) and cognitive function in hospitalized patients with stable schizophrenia. Methods: A total of 235 patients who were hospitalized with stable schizophrenia were included. Patient demographic information was collected through self-reports or electronic medical records, and cognitive function was assessed using the Montreal Cognitive Assessment in China (MoCA-C). Information on serum albumin and total cholesterol levels, lymphocyte counts, and body mass index during the stable stage of schizophrenia was collected to calculate the PNI, GNRI, and CONUT scores, according to their respective calculation criteria. Covariate-adjusted linear regression model and ordered logistic regression model were constructed to determine the relationship between nutritional indicators and cognitive function. Results: Overall, 90.2% of the patients were under the age of 60 years, and males comprised 60% of all patients. The median scores for MoCA-C, PNI, GNRI, and CONUT in hospitalized patients with stable schizophrenia were 18 (12,23), 52.85 (50.25,55.90), 110.85 (105.80,116.21), and 3 (3,3), respectively. The results of the correlation analysis showed that only PNI was associated with MoCA-C scores (r = 0.15, P = 0.021). This relationship was further confirmed by covariate-adjusted linear regression modeling (β = 0.147, 95%CI:0.049–0.351, p = 0.01) and ordered logistic regression modeling (OR = 0.054, 95%CI:0.001–0.106, p = 0.046). Conclusions: The findings revealed a significant correlation between PNI scores and MoCA-C scores in hospitalized patients with stable schizophrenia. [ABSTRACT FROM AUTHOR]

The death/suicide implicit association test (IAT) may be more resilient to accurately assess suicide risk than self-reports. We examined the IAT in 130 patients with depression and 125 healthy controls, along with self-reported suicidal ideation. IAT could differentiate patients with suicide attempts from patients without suicide attempts and controls. IAT measures were significantly correlated to explicit suicidal ideation and clinical symptoms in patients. Moreover, the IAT-symptom correlations were significant in female but not male patients. The IAT showed promise as a valid tool to estimate suicide risk in patients with depression and may be particularly useful in female patients. [ABSTRACT FROM AUTHOR]

Introduction: The study tested the psychometric properties of two Chinese version Internet Gaming Disorder scales (IGDSs): a dichotomous IGDS with yes/no type of response and a polytomous IGDS with a 0-5 Likert-type response.Methods: The reliability and validity of two scales were tested separately, among two population-based samples of Chinese adolescents and adults (351 for dichotomous IGDS and 378 for polytomous IGDS). The diagnostic accuracy of the dichotomous IGDS was assessed in an independent sample of 114 gamers (56 disordered gamers and 58 average gamers) using Receiver Operating Characteristic (ROC) analysis.Results: The results demonstrated good internal consistency (αdichotomous = 0.80 and αpolytomous = 0.89) and test-retest reliability (rdichotomous = 0.83 and rpolytomous = 0.84) for both scales. Both scales showed sound validity, as indicated by significant correlations with measurements of internet addiction, aggression, impulsivity, craving for gaming and time spent playing games. Factor analysis demonstrated that both Chinese IGDSs have a similar single-component structure to the original scales. The ROC analysis indicated an excellent diagnostic accuracy of the dichotomous IGDS. When apply the five or more cutoff points, the prevalence of IGD was 7.41% in the population-based sample.Conclusion: This study demonstrated robust psychometric properties of the Chinese version dichotomous IGDS and polytomous IGDS, and suggests that these scales are valid tools that suitable for clinical and research purposes. [ABSTRACT FROM AUTHOR]

Objective To investigate the mechanism of inducing macrophage polarization induced by acupoint effect of electroacupuncture to promote the repair of acute skeletal muscle injury. Methods 45 SD rats were randomly divided into blank group, model group, electroacupuncture group(EA group), sodium chrominate group (DSCG group) and electroacupuncture + sodium chrominate group (hereinafter referred to as EA + DSCG group), with 9 rats in each group. The rats in the EA group and the EA + DSCG group were subjected to EA intervention at the right "Chengshan" (BL57) and "Yanglingquan" (GB34), with a frequency of 2 Hz/100 Hz. The gait changes of rats were recorded by animal gait analyzer. The morphological changes of the right gastrocnemius were observed by HE staining. The changes of mast cell aggregation and degranulation in local skin muscles of "chengshan" point were observed by toluidine blue staining. The expressions of Pax7, MyoD and skin mast cells and 5-HT in the right gastrocnemius were detected by immunofluorescence method. The positive expressions of CD68 and CD206 in right gastrocnemius macrophage was observed by immunohistochemical staining. Results Compared with blank group, the wiggle time of the right hind leg in model group and DSCG group increased, stride length decreased, HE staining showed inflammatory cell infiltration, myocyte enlargement, degeneration and necrosis. The degranulation rate of local skin mast cells in "Chengshan" (BL57) area increased, and the expressions of mast cell tryptase, 5-HT, Pax7, MyoD, CD68 and CD206 increased (P<0.05). Compared with model group, the wiggle time of the right hind leg in EA group and EA + DSCG group decreased, stride length increased, HE staining showed that inflammatory cell infiltration was reduced, muscle cells were uniform in size and arranged neatly. Mast cell degranulation rate increased significantly in EA group, and the expressions of mast cell tryptase, 5-HT, Pax7, MyoD and CD206 increased (P<0.05), while CD68 expression decreased (P<0.05). Compared with EA + DSCG group, the degranulation rate of mast cells and the expressions of mast cell tryptase, 5-HT, Pax7, MyoD and CD206 increased (P<0.05), while CD68 expression decreased in EA group (P<0.05). Conclusion EA "Chengshan" (BL57) and "Yanglingquan" (GB34) can stimulate acupuncture points to locally induce mast cell degranulation, promote the polarization of macrophages, and then activate muscle satellite cells to play the regulatory process of repairing skeletal muscle injury. [ABSTRACT FROM AUTHOR]

Introduction: This study examined the psychometric properties of the Chinese version General Causality Orientation Scale‐Clinical Population (GCOS‐CP) and assessed the causality orientations in patients with major depression disorders (MDDs). Method: The psychometric properties of the Chinese GCOS‐CP were tested in an adults group (study 1). And then, the Chinese GCOS‐CP was given to individuals with and without MDD (study 2). Results: The Chinese GCOS‐CP provided good reliability and validity. MDD showed lower autonomy but higher impersonal orientations relative to healthy controls. Discussion: The GCOS‐CP is suitable for the assessment of motivation in patients with mental disorders in Chinese setting. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objectives: Previous studies have found that sleep problems are associated with psychotic experiences (PEs) across clinical designs, but many confounding factors from uncertain variables have been unclear in observational designs. The aim of the present study was to detect the genetic correlations and causal relationship between sleep-related traits and PEs using the largest current genome-wide association study (GWAS) summary statistics.Methods: GWAS results were obtained for positive PEs (N = 116,787-117,794) and sleep-related traits [insomnia complaints (N = 386,533), morningness (N = 345,552), sleep duration (N = 384,317), ease of getting up in the morning (N = 385,949), daytime napping (N = 386,577), daytime sleepiness (N = 386,548), and snoring (N = 359,916)]. Linkage disequilibrium score regression (LDSC) was used to investigate genetic correlations. Mendelian randomization (MR) was conducted on trait pairs with significant genetic associations.Results: We found that auditory hallucinations were significantly genetically correlated with insomnia complaints (rg = -0.27, p = 1.1 × 10-3), sleep duration (rg = 0.21, p = 9.7 × 10-3), and ease of getting up (rg = 0.31, p = 2 × 10-4). Visual hallucinations and insomnia complaints were highly genetically correlated (rg = 0.36, p = 6.4 × 10-5). Mendelian randomization indicated a unidirectional causal relationship between sleep duration with auditory hallucinations (β = -0.93, p = 7.9 × 10-4 for sleep duration as the exposure). We used large GWAS summary statistics across the LDSC and MR programs to determine that sleep duration as exposure to increase the risk of auditory hallucinations.Conclusions: Taken together, these findings suggest that treatment of sleep problems should be considered as a higher priority for future mental health services. [ABSTRACT FROM AUTHOR]

Although electroconvulsive therapy (ECT) has been employed as an effective treatment strategy and to improve mental symptoms in schizophrenia (SCZ), its action mechanisms remain unclear. Our previous study found that some genes and biological pathways were closely related to ECT through genetic technology analysis, such as LTP pathway and EP300. This study combined with healthy controls and symptomatology analysis to further explore the changes of expression of EP300 protein in treatment and related symptoms of SCZ.Methods: One hundred and one patients with SCZ and 45 healthy controls (HCs) were enrolled in this study. Patients with SCZ received acute courses of 6 times bilateral ECT. The peripheral blood of patients with SCZ (BECT: before ECT; AECT: after ECT) and the HCs was collected to calculate the changes of expression level of EP300 protein by enzyme-linked immunosorbent assay. The Positive and Negative Symptoms Scale (PANSS) was used to evaluate the severity of symptoms of SCZ patients and the efficiency of the ECT.Results: There was a statistical difference of EP300 protein expression in patients with SCZ (BECT and AECT) (F = 114.5, p < 0.05). ECT reduced plasma expression level of EP300 protein in patients with SCZ, which was not statistically different from that in HCs (t = 4.47, p = 0.20). The change of the expression level of EP300 protein in patients with SCZ (BECT and AECT) has a positive correlation with reduction rate of positive symptoms (r = 0.228, p < 0.05) and disturbance of thought (r = 0.219, p < 0.05).Conclusion: Our study suggests that the expression level of EP300 protein has a significant change in patients with SCZ treating with ECT, and EP300 may have some connections with positive symptoms and disturbance thought of patients with SCZ. [ABSTRACT FROM AUTHOR]

Background and Objective: HP501 is a highly selective renal urate transporter 1 (URAT1) inhibitor that is being developed for the treatment of hyperuricemia and gout. The primary aim of the present study was to study the pharmacokinetic drug‒drug interactions (DDIs) of HP501, febuxostat, and colchicine in hyperuricemic patients. Methods: Hyperuricemic patients were randomly divided into group A, receiving HP501 40 mg once daily on days 1 and 4–10, and group B, receiving febuxostat 40 mg once daily on day 1 and HP501 40 mg plus febuxostat 40 mg on days 4–10. All patients received 0.5 mg colchicine once daily from day 4 to 12. Blood samples were collected for measurement of drug concentrations and serum uric acid (sUA) levels. Results: Coadministration of colchicine with HP501 or HP501 plus febuxostat did not affect steady-state exposure to colchicine. Coadministration of HP501 and febuxostat did not significantly change the pharmacokinetic profiles of either drug. Following multiple administrations of HP501 40 mg once daily for 7 days, the maximal percent sUA change from baseline in group A was − 24.77%. The coadministration of HP501 40 mg and febuxostat 40 mg in group B for 7 days resulted in a − 55.82% maximal sUA reduction from baseline, and all patients achieved the goal of sUA < 360 μmol/L. All adverse events (AEs) were either mild or moderate, and the most frequently reported AEs were diarrhea and elevated alanine aminotransferase (ALT) levels. Conclusions: The concomitant use of HP501, febuxostat, and colchicine did not produce clinically meaningful DDIs in terms of their pharmacokinetic properties. Clinical Trial Registration: No. CTR20212261 (http://www.chinadrugtrials.org.cn/) registered September 2021. [ABSTRACT FROM AUTHOR]

Background: Internet addiction of adolescents has aroused social concern recently. The present study aims to identify predicting factors of internet addiction on adolescents.Methods: The demographic characteristics and psychological characteristics of 50, 855 middle school students were investigated through Internet Gaming Disorder Scale- Short Form(IGDS9-SF), Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), Strengths and Difficulties Questionnaire-students (SDQS), 16-Item Version of the Prodromal Questionnaire (PQ-16), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7-item (GAD-7), Multidimensional Peer Victimization Scale (MPVS), Warwick-Edinburgh Mental Well-being Scale (WEMWBS), and Connor-Davidson Resilience Scale (CD-RISC10) were used to analyze factors associated with internet addiction by Pearson correlation coefficient and multiple hierarchical regression.Results: IGDS9-SF, SABAS and BSMAS are positively correlated with SDQS, PQ-16, PHQ-9, GAD-7 and MPVS (r-values ranging from 0.180 to 0.488, p < 0.01). IGDS9-SF, SABAS and BSMAS are negatively correlated with WEMWB and CD-RISC (r-values ranging from -0.242 ~ -0.338, p < 0.01). Multiple hierarchical regression shown gender, one-child, twins, left-behind, rural, education (father), drink (father), smoke (father), CD-RISC-10, SDQS, PQ-16, PHQ-9, GAD-7 and MPVS predicted 32.7 % of the variance in internet gaming disorder (IGD) (F = 1174.949, p < 0.001). Group (junior and senior), Gender, Age, One-Child, Twins, Village, Education (father), Drink (father), Drink (mother), Smoke (father), WEMWBS, CD-RISC-10, SDQS, PQ-16, PHQ-9, GAD-7 and MPVS predicted 28.9 % of the total variance in social media addiction (SMA) (F = 982.932, p < 0.001). Fifteen variables [Gender, Age, Twins, Left-behind, Residence, Residence, Education (mother), Drink(father), Drink (mother), Smoke (father), WEMWBS, CD-RISC-10, PHQ-9, GAD-7 and MPVS] predicted 30.7 % of the variance in smartphone addiction (SA) (F = 1076.02, p < 0.001).Conclusion: The present study found that demographic characteristics, family environment and psychosocial factors were associated with internet gaming addiction, social media addiction and smartphone addiction. Negative psychological factors (such as anxiety and depression) play an important role in different behavioral addictions. [ABSTRACT FROM AUTHOR]

Background: Wide application of resting-state functional magnetic resonance imaging (fMRI) in psychiatric research has revealed that major depressive disorder (MDD) manifest abnormal neural activities in several brain regions involving key resting state networks. However, inconsistent results have hampered our understanding of the exact neuropathology associated with MDD. Therefore, our aim was to conduct a meta-analysis to identify the consistent vulnerable brain regions of MDD in resting state, and to reveal the potential pathogenesis of MDD.Methods: A systematic review analysis was conducted on studies involving brain resting-state changes in MDD using low-frequency amplitude (ALFF), fractional low-frequency amplitude (fALFF) and regional homogeneity (ReHo) analysis. The meta-analysis was based on the activation likelihood estimation method, using the software of Ginger ALE 2.3.Results: 25 studies (892 MDD and 799 healthy controls) were included. Based on the meta-analysis results of ReHo, we found robust reduction of resting-state spontaneous brain activity in MDD, including the left cuneus and right middle occipital gyrus (cluster size = 216, 256 mm3, uncorrected P < 0.0001), while no increased spontaneous activation in any of the brain regions. We also found reduced ALFF in the left middle occipital gyrus (cluster size = 224 mm3, uncorrected P < 0.0001), and no increased spontaneous brain activation in any regions.Conclusion: Our meta-analysis study using the activation likelihood estimation method demonstrated that MDD showed significant abnormalities in spontaneous neural activity, compared with healthy controls, mainly in areas associated with visual processing, such as the cuneus and the middle occipital gyrus. Dysfunction of these brain regions may be one of the pathogenesis of MDD. [ABSTRACT FROM AUTHOR]

Character strengths could effectively prevent negative psychological outcomes in adults. However, there was little research conducted among early adolescents. The present study aimed to explore character strengths that were independently related to fewer behavior problems in early adolescents. In total, 521 early adolescents (mean age 10.92 ± 0.04, range 10–12 years) were recruited from primary schools in Sichuan, China. Character strengths were measured using the Values in Action Inventory of Strengths for Youth (VIA-Youth). Behavior problems were measured using the Conners Parent Symptom Questionnaire (PSQ). The results showed that behavior problems were negatively correlated with character strengths (r = −0.14 to −0.3, p < 0.05 Bonferroni corrected). Character strengths explained a significant proportion of additional variance (14–22%) in five types of behavior problems after controlling the effect of demographic factors (residence, left-behind experiences, maternal education level). Moreover, several specific character strengths showed an independent contribution (β = −0.34 to −0.14 for self-regulation, perseverance, zest, humility, and leadership; β = 0.21 to 0.34, for hope; all p < 0.05) to behavior problems. Our study revealed that character strengths were protective factors against behavior problems in early adolescents. [ABSTRACT FROM AUTHOR]

Both elevated intolerance of uncertainty (IU) and maladaptive metacognitive beliefs (MBs) were associated with depression. However, the relationship between MBs and IU in clinical depression is unclear. The current study aimed to investigate the putative impairment of MBs and IU in major depressive disorder (MDD) and explore the relationship between these two factors with depressive symptoms. Metacognition Questionnaire—30 Items (MCQ‐30), Intolerance of Uncertainty Scale—Short Form (IUS‐12) and clinical rating scales were administered to 53 patients with MDD and 56 healthy controls (HCs). Stepwise regressions were performed to explore independent contributions of MBs and IU on depression. Mediation analysis was used to examine associations among variables. Patients with MDD reported higher IUS‐12 and MCQ‐30 scores than HCs. Stepwise regressions revealed a unique contribution of negative MBs concerning the consequences of not controlling thoughts (MCQ‐NC) on depression symptoms while controlling the effects of age, gender, anxiety symptoms and IU. MCQ‐NC and negative MBs concerning the uncontrollability and danger of negative thinking (MCQ‐NEG) completely mediated the effects of IU on depression and anxiety symptoms. Our results provided clear evidence that maladaptive negative MBs are directly associated with depression symptoms, and mediated the effect of IU on depression and anxiety symptoms, suggesting that IU and MBs influence clinical symptoms in a hierarchical manner. [ABSTRACT FROM AUTHOR]

Major depression is a debilitating disease. To date, the development of biomarkers of major depressive disorder (MDD) remains a challenge. Recently, alterations in the expression of microRNAs (miRNAs) from post-mortem brain tissue and peripheral blood have been linked to MDD. The goals of this study were to detect the differential miRNAs in cerebrospinal fluid (CSF) and serum of MDD patients. First, the relative expression levels of 179 miRNAs (relative high levels in serum) were analyzed by miRNA PCR Panel in the CSF of MDD patients. Then, the differentially altered miRNAs from CSF were further assessed by qRT-PCR in the serum of the same patients. Finally, the serum differentially altered miRNAs were further validated by qRT-PCR in the serum of another MDD patients. The CSF-results indicated that 11 miRNAs in MDD patients were significantly higher than these in control subjects, and 5 miRNAs were significantly lower than these in control subjects. The serum-results from the same patients showed that 3 miRNAs (miR-221-3p, miR-34a-5p, and let-7d-3p) of the 11 miRNAs were significantly higher than these in control subjects, and 1 miRNA (miR-451a) of 5 miRNAs was significantly lower than these in control subjects. The up-regulation of miR-221-3p, miR-34a-5p, let-7d-3p and down-regulation of miR-451a was further validated in another 32 MDD patients. ROC analysis showed that the area under curve of let-7d-3p, miR-34a-5p, miR-221-3p and miR-451a was 0.94, 0.98, 0.97 and 0.94, with specificity of 90.48%, 95.24%, 90.48% and 90.48%, and sensitivity of 93.75%, 96.88%, 90.63% and 84.85%, respectively. In addition, target gene prediction found that the altered miRNAs are involved in affecting some important genes and pathway related to MDD. Our results suggested that differentially altered miRNAs in CSF might be involved in MDD, and serum miR-221-3p, miR-34a-5p, let-7d-3p, and miR-451a might be able to serve as biomarkers for MDD. [ABSTRACT FROM AUTHOR]

Abstract: Impaired learning performance in scholastic settings is a characteristic of attention deficit hyperactivity disorder (ADHD). Our present study compares the effect of a nicotinic acetylcholine receptor (nAChR) agonist, ABT-418, and methylphenidate (MPH) on spatial memory in spontaneously hypertensive rats (SHRs), an animal model of ADHD. Neither chronic administration of ABT-418 nor MPH affected the learning performance during training in the Morris water maze. However, both compounds significantly improved memory. SHRs treated with a combination of the compounds did not perform better than either drug alone. Furthermore, the cortical α4 and β2 nAChR subunits and the hippocampal α4 subunit expression were significantly enhanced by ABT-418 treatments. Collectively, these results suggest that ABT-418 effectively improved spatial memory in an animal model of ADHD, providing a theoretical foundation for the use of a nAChR agonist in ADHD treatment. [Copyright &y& Elsevier]

Numerous variants associated with increased risk for SCZ have undergone positive selection and were associated with human brain development, but which brain regions and developmental stages were influenced by the positive selection for SCZ risk alleles are unclear. We analyzed SCZ using summary statistics from a genome-wide association study (GWAS) from the Psychiatric Genomics Consortium (PGC). Machine-learning scores were used to investigate two natural-selection scenarios: complete selection (loci where a selected allele has reached fixation) and incomplete selection (loci where a selected allele has not yet reached fixation). Based on the p value of single nucleotide polymorphisms (SNPs) with selection scores in the top 5%, we formed five subgroups: p < 0.0001, 0.001, 0.01, 0.05, or 0.1. We found that 48 and 29 genes (p < 0.0001) in complete and incomplete selection, respectively, were enriched for the transcriptional co-expression profile in the prenatal dorsolateral prefrontal cortex (DFC), inferior parietal cortex (IPC), and ventrolateral prefrontal cortex (VFC). Core genes (GNA13, TBC1D19 , and ZMYM4) involved in regulating early brain development were identified in these three brain regions. RNA sequencing for primary cortical neurons that were transfected Gna13 overexpressed lentivirus demonstrated that 135 gene expression levels changed in the Gna13 overexpressed groups compared with the controls. Gene-set analysis identified important associations among common variants of these 13 genes, which were associated with neurodevelopment and putamen volume [p = 0.031; family-wise error correction (FWEC)], SCZ (p = 0.022; FWEC). The study indicate that certain SCZ risk alleles were likely to undergo positive selection during human evolution due to their involvement in the development of prenatal DFC, IPC and VFC, and suggest that SCZ is related to abnormal neurodevelopment. • Numerous variants associated with increased risk for schizophrenia have undergone positive selection and were associated with human brain development. • The certain schizophrenia risk alleles were likely to undergo positive selection during human evolution. • The abnormal development of prenatal dorsolateral prefrontal cortex, inferior parietal cortex and ventrolateral prefrontal cortex may be associated with schizophrenia. [ABSTRACT FROM AUTHOR]