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Internet addiction (IA) is associated with adverse consequences, especially for younger people. Evidence indicates that IA is associated with depression, but no studies have yet investigated potential common vulnerability between them.IA (measured by the Young's 20-item Internet Addiction Test Scale) and depressive symptoms (measured by the Patient Health Questionnaire-9 Scale) among 12 043 undergraduates were surveyed at baseline and at a respective 12 month follow-up for each participant. Application of a cross-lagged panel model approach (CLPM) revealed an association between IA and depression after adjusting for demographic variables.Rates of baseline IA and depression were 5.47% (95% CI: 5.07%, 5.88%) and 3.85% (95% CI: 3.51%, 4.20%), respectively; increasing to 9.47% (95% CI: 8.94%, 9.99%) and 5.58% (95% CI: 5.17%,5.99%), respectively, at follow-up. Rates of new-incidences of IA and depression over 12 months were 7.43% (95% CI: 6.95%, 7.91%) and 4.47% (95% CI: 4.09%, 4.84%), respectively. Models in the present analysis revealed that baseline depression had a significant net-predictive effect on follow-up IA, and baseline IA had a significant net-predictive effect on follow-up depression.The follow-up survey response rate was moderate (54.69%) in this analysis of university students. Moreover, the IAT-20 scale did not allow differentiate between specific forms of Internet activity.Common vulnerability and bidirectional cross-causal effects may both contribute to the association between IA and depression, with common vulnerability likely playing a more significant role than cross-causal effects.

Ketamine, a rapid-acting antidepressant drug, has been used to treat major depressive disorder and bipolar disorder (BD). Recent studies have shown that ketamine may increase the potential risk of treatment-induced mania in patients. Ketamine has also been applied to establish animal models of mania. At present, however, the underlying mechanism is still unclear. In the current study, we found that chronic lithium exposure attenuated ketamine-induced mania-like behavior and c-Fos expression in the medial prefrontal cortex (mPFC) of adult male mice. Transcriptome sequencing was performed to determine the effect of lithium administration on the transcriptome of the PFC in ketamine-treated mice, showing inactivation of the phosphoinositide 3-kinase (PI3K)-protein kinase B (AKT) signaling pathway. Pharmacological inhibition of AKT signaling by MK2206 (40 mg/kg), a selective AKT inhibitor, reversed ketamine-induced mania. Furthermore, selective knockdown of AKT via AAV-AKT-shRNA-EGFP in the mPFC also reversed ketamine-induced mania-like behavior. Importantly, pharmacological activation of AKT signaling by SC79 (40 mg/kg), an AKT activator, contributed to mania in low-dose ketamine-treated mice. Inhibition of PI3K signaling by LY294002 (25 mg/kg), a specific PI3K inhibitor, reversed the mania-like behavior in ketamine-treated mice. However, pharmacological inhibition of mammalian target of rapamycin (mTOR) signaling with rapamycin (10 mg/kg), a specific mTOR inhibitor, had no effect on ketamine-induced mania-like behavior. These results suggest that chronic lithium treatment ameliorates ketamine-induced mania-like behavior via the PI3K-AKT signaling pathway, which may be a novel target for the development of BD treatment.氯胺酮是一种快速起效的抗抑郁药，已被用于治疗重度抑郁症和双相情感障碍。最近的研究表明氯胺酮可能会诱发用药患者出现躁狂症的风险。氯胺酮已用于建立躁狂症动物模型。然而，其机制仍不清楚。在该研究中，我们发现慢性锂暴露可减弱氯胺酮诱导的成年小鼠躁狂样行为和内侧前额叶皮层（mPFC）中c-Fos的表达。此外，转录组测序分析探究锂治疗对氯胺酮诱导的小鼠前额叶皮层转录组的影响，确定了磷酸肌醇3-激酶（PI3K）-蛋白激酶B（AKT）信号通路的失活参与了此过程。进一步，选择性AKT抑制剂MK2206可逆转氯胺酮诱导的躁狂样行为。通过AAV选择性敲低mPFC中的AKT也可逆转氯胺酮诱导的躁狂样行为。更重要的是，AKT激活剂SC79可使低剂量氯胺酮处理的小鼠出现躁狂样行为。同样地，PI3K抑制剂LY294002也可逆转氯胺酮诱导的小鼠躁狂样行为。但是，mTOR抑制剂雷帕霉素不能改善氯胺酮诱导的躁狂样行为。总之，我们的结果表明慢性锂治疗通过PI3K-AKT信号通路改善氯胺酮诱导的躁狂样行为。PI3K-AKT信号通路有可能发展为双相情感障碍治疗的新靶点。.

Objective The current study aims to explore precipitating and social risk factors for internet addiction (IA) in university undergraduate students, and to provide evidence for interventions and the early prevention of IA in different genders.Methods Four thousand eight hundred and fifty-eight college sophomores completed an online survey on their internet use-related behaviours and social risk factors.Results We found that more male (8.3%) than female students (5.4%) had moderate and severe IA. The main online activity in the moderate and severe IA groups was online gaming in males and online streaming in females. Roommates engaging in similar internetbased entertainment was a risk factor of IA only for males, while not being in a romantic relationship was a risk factor of IA for females only. Infatuation with the internet before college and adjustment problems for college life were shared risk factors for both genders in the mild and moderate IA groups.Conclusion IA was a common phenomenon in college students with shared and unique precipitating and social risk factors in males and females. The gender-sensitive risk factors for IA warranted earlier and individualized intervention and prevention strategies for IA in this population.

Background Alcohol dependence is a mental disorder with a high relapse rate. However, specific neuroimaging biomarkers have not been determined for alcohol dependence and its relapse. We conducted data-driven research to investigate resting-state functional magnetic resonance imaging (rs-fMRI) during early abstinence from alcohol dependence and its potential ability to predict relapse. Methods Participants included 68 alcohol-dependent patients and 68 healthy controls (HCs). The regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) were compared between the alcohol dependence group and the HCs and between the relapse group and the nonrelapse group. The brain regions that presented significantly different ReHo and/or fALFF between the alcohol-dependent patients and HCs and/or between the relapsed and nonrelapsed patients were selected as the seeds to calculate the functional connectivities (FCs). Results During a 6-month follow-up period, 52.24% of alcohol-dependent patients relapsed. A regression model for differentiating alcohol-dependent patients and HCs showed that reductions in ReHo in the left postcentral region, fALFF in the right fusiform region, and FC in the right fusiform region to the right middle cingulum were independently associated with alcohol dependence, with an area under the receiver operating characteristic curve (AUC) of 0.841. The baseline FC of the left precentral to the left cerebellum of the relapse group was significantly lower than that of the nonrelapse group. The AUC of this FC to predict relapse was 0.774. Conclusions Our findings contribute to advancing research on the neurobiological etiology and predictive biomarkers for relapse associated with alcohol dependence.

BACKGROUND Evidence indicates that Internet addiction (IA) is associated with depression, but longitudinal studies have rarely been reported, and no studies have yet investigated potential common vulnerability or a possible specific causal relationship between these disorders. OBJECTIVE To overcome these gaps, the present 12-month longitudinal study based on a large-sample employed a cross-lagged panel model (CLPM) approach to investigate the potential common vulnerability and specific cross-causal relationships between IA and CSD (or depression). METHODS IA and clinically-significant depression (CSD) among 12 043 undergraduates were surveyed at baseline (as freshmen) and in follow-up after 12 months (as sophomores). Application of CLPM revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. RESULTS Rates of baseline IA and CSD were 5.47% and 3.85%, respectively; increasing to 9.47% and 5.58%, respectively at follow-up. Among those with baseline IA and CSD, 44.61% and 34.48% remained stable at the time of the follow-up survey, respectively. Rates of new-incidences of IA and CSD over 12 months were 7.43% and 4.47%, respectively. Application of a cross-lagged panel model approach (CLPM, a discrete time structural equation model used primarily to assess causal relationships in real-world settings) revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. Models revealed that baseline CSD (or depression severity) had a significant net-predictive effect on follow-up IA (or IA severity), and baseline IA (or IA severity) had a significant net-predictive effect on follow-up CSD (or depression severity). CONCLUSIONS These correlational patterns using a CLPM indicate that both common vulnerability and bidirectional specific cross-causal effects between them may contribute to the association between IA and depression. As the path coefficients of the net-cross-predictive effects were significantly smaller than those of baseline to follow-up cross-section associations, vulnerability may play a more significant role than bidirectional-causal effects. CLINICALTRIAL Ethics Committee of West China Hospital, Sichuan University (NO. 2016-171)

Objective: The current study aims to explore precipitating and risk factors for internet addiction (IA) in university undergraduate students, and to provide evidence for interventions and the early prevention of IA in this population.Method: Four thousand eight hundred and fifty-eight college sophomores completed an online survey on their internet use-related behaviours and social risk factors.Result: Compared to female students (5.4%), more male students (8.3%) were in the moderate and severe IA groups. Male and female students tend to engage in different types of online entertainment. There are some shared and some different precipitating factors for internet use and risk factors for IA between the different gender groups.Conclusion: By understanding the differences and similarities in risk factors for IA in both gender groups of the university undergraduate students, interventions can be more precisely designed to target specific behaviours in this populations.

Appropriate selecting of process parameters influences the machining quality greatly. For honing, the main factors are product precision, material components and productivity. In view of this situation, a intelligence selection model for honing parameter based on genetics and artificial neural networks was built by using excellent robustness, fault-tolerance of artificial neural networks optimization process and excellent self-optimum of genetic algorithm. It can simulate the decision making progress of experienced operators, abstract the relationship from process data and machining incidence, realize the purpose of intelligence selection honing parameter through copying, exchanging, aberrance, replacement strategy and neural networks training. Besides, experiment was performed and the results helped optimize the theories model. Both the theory and experiment show the updated level and feasibility of this system.

It is important to assembling-possibility of products for the DFA (Design For Assembling). Asembling factors is analyzed, and a matter-element model is deduced, the evaluation model of products design for assembling is established according to the extensive theory and superiority evaluating method, and the process of this method is discussed in detail. The example confirmed that the evaluating method is advanced and practicality. The present analysis is qualitative combining.

The design quality of auto steering hydraulic rotating valve directly affects driving security, operating stability and ride comfort. Active server page (ASP) technology is applied in the study of working principal of auto steering hydraulic valve, calculation method of web-based design and parameterization design for parts. An collaborative design platform in network environment is built. The collaborative design of auto hydraulic Steering valve based on network is realized through some key technologies of safety technology in network design, database technology, graphical viewing technology, and COM technology.

To investigate the effect of risperidone on the expression of brain-derived neurotrophic factor (BDNF) and its receptors, tyrosine kinase receptor (TrkB) and P75 neurotrophin receptor (P75NTR) in rat brain.Sixteen SD rats were divided into two groups (n = 8 for each group). The rats in experimental group were treated with risperidone [0.25 mg/(kg · d)] for 14 d, while the control group was given placebo. Total RNA sample in prefrontal cortex, temporal cortex and hippocampus was extracted, and the expression of BDNF, TrkB and P75NTR mRNA were determined by quantitative real-time PCR.The treatment of risperidone significantly up-regulated the expressions of BDNF and TrkB in prefrontal cortex, temporal cortex and hippocampus, while the expression of P75NTR was not significantly changed.Risperidone upregulated BDNF-TrkB signaling, but not BDNF-P75NTR signaling, which may be helpful for the further pharmacological study of risperidone.

The interracial differences of prostate cancer progression have long been documented; however, underlying molecular and cellular mechanisms remain obscure. This study focuses on the histopathologic, immunohistochemical, biochemical, and molecular characterization of prostate cancer tissues unselectively obtained from US, Chinese, and Japanese men. Histopathologic analyses indicate that 74.5% of the prostate cancers in Chinese patients were poorly differentiated, compared with 28.6 and 32.8% of the prostate cancers in US and Japanese men, respectively. These differences cannot be attributed to patient age, clinical stage of disease, or methods of tissue sampling. Furthermore, the high proportion of poorly differentiated prostate cancer tissues in the Chinese group was not related to the patients' access to medical service or their geographic origins within China. We found significantly higher levels of tumor angiogenesis (2- to 4-fold), serotonin (2- to 20-fold), and bombesin (7- to 16-fold), but not chromogranin A, in tissue specimens obtained from Chinese prostate cancer patients compared with those from US and Japanese patients. We also found marked differences in p53 protein accumulation among various ethnic groups. The p53 protein was frequently detected in prostate cancer tissue specimens from Chinese (90.2%), but less frequently in US black (3.7%), US white (17.4%), and Japanese (7.1%) men. Further analysis of 31 prostate cancer tissues from Chinese men indicated that mutational changes in the p53 gene occurred between exons 5 and 8. J. Cell. Biochem. Suppls. 28/29:182–186. © 1998 Wiley-Liss, Inc.

To perform genome-wide linkage analysis for an ethnic Han Chinese pedigree with schizophrenia in order to locate the susceptibility genes.Genomic DNA was extracted from 4 mL of peripheral blood using conventional phenol-chloroform method. Illumina Infinium Linkage 24 BeadChips chip was used for determining the genotypes through detection of single nucleotide polymorphisms (SNPs). After processing the raw data using Illumina BeadStudio software, two-point nonparametric linkage analysis and two-point parametric linkage analysis were performed with Merlin software.By two-point nonparametric linkage analysis, 27 sites with high LOD scores (LOD=0.63-0.75, P U+003C 0.05) were identified. Among these, 3 SNPs(rs993694, rs992690 rs1861577) were located in 12p12.3 region, whilst the remainders were located in 4p12-q22 region. Two-point parametric linkage analysis under a dominant model has yielded almost identical results.Chromosomal regions 4p12-q22 and 12p12.3 probably contain susceptibility genes for schizophrenia.

To study the association between 5-HTTVNTR polymorphism and posttraumatic stress disorder (PTSD) in Chinese Han adolescents after the Wenchuan Earthquake, and investigation of the genetic mechanism of PTSD.Polymerase chain reaction (PCR) was used to detect the distributive frequency of 5-HTTVNTR polymorphism of 236 PTSD patients (patient group) and 234 normal people (control group), Plink version 1.07 was used to analyze the genotyping results.The frequency of 5-HTTVNTR allele 12 in PTSD group was significantly higher than control group (93.2% vs. 88.9%, chi2 = 5.42, P = 0.020). The 12/12 genotype in PTSD group and control group was 88.1% and 79.7%; 10/12 genotype was 10.2% and 19.6%; 10/10 genotype was 1.7% and 1.7%. The distributive frequency of all three genotypes (12/12, 10/12, 10/10) showed statistically significant (P = 0.023).The allele 12 of 5-HTTVNTR may increase the risk of PTSD in Chinese Han adolescents, 12/12 genotype may be the susceptibility gene, and heterozygote 10/12 may act as the protective factor of PTSD.

Although interracial differences of prostate cancer progression are well recognized, their underlying molecular and cellular mechanisms remain obscure. We compared the histopathologic, immunohistochemical, and molecular characteristics of unselected prostate cancer tissues obtained from U.S., Chinese, and Japanese men. Histopathologic analyses indicated that 74.4% of the prostate cancers in Chinese men were poorly differentiated, compared with 28.6% and 32.8% of the prostate cancers in U.S. and Japanese men, respectively. These differences cannot be attributed to patient age, clinical stage of disease, or methods of tissue sampling. The high proportion of poorly differentiated prostate cancer tissues in the Chinese group was not related to the patients' access to medical service or to geographic background within China. Significantly higher levels of tumor angiogenesis (2- to 4-fold), serotonin (2- to 20-fold), and bombesin (7- to 16-fold), but not chromogranin A, were found in the tissue specimens obtained from Chinese prostate cancer patients compared with those from U.S. and Japanese patients. We also observed marked interracial differences in p53 protein accumulation. The protein was present in 90.2% of Chinese specimens; 17.4% of specimens from U.S. whites; 7.1% of specimens from Japanese men; and 3.7% of specimens from U.S. blacks. Results from multivariate logistic regression analysis demonstrated that p53 protein accumulation, angiogenesis, and serotonin expression in the normal stroma area correlate independently with Chinese versus non-Chinese patient populations.