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BackgroundUnderstanding the interplay between psychopathology of alcohol withdrawal syndrome (AWS) in alcohol use disorder (AUD) patients may improve the effectiveness of relapse interventions for AUD. Network theory of mental disorders assumes that mental disorders persist not of a common functional disorder, but from a sustained feedback loop between symptoms, thereby explaining the persistence of AWS and the high relapse rate of AUD. The current study aims to establish a network of AWS, identify its core symptoms and find the bridges between the symptoms which are intervention target to relieve the AWS and break the self-maintaining cycle of AUD.MethodsGraphical lasso network were constructed using psychological symptoms of 553 AUD patients. Global network structure, centrality indices, cluster coefficient, and bridge symptom were used to identify the core symptoms of the AWS network and the transmission pathways between different symptom clusters.ResultsThe results revealed that: (1) AWS constitutes a stable symptom network with a stability coefficient (CS) of 0.21-0.75. (2) Anger (Strength = 1.52) and hostility (Strength = 0.84) emerged as the core symptom in the AWS network with the highest centrality and low clustering coefficient. (3) Hostility mediates aggression and anxiety; anger mediates aggression and impulsivity in AWS network respectively.ConclusionsAnger and hostility may be considered the best intervention targets for researching and treating AWS. Hostility and anxiety, anger and impulsiveness are independent but related dimensions, suggesting that different neurobiological bases may be involved in withdrawal symptoms, which play a similar role in withdrawal syndrome.

Background: The levels of oxidative stress and proinflammatory factors in perimenopausal females increased, and they were also deeply troubled by insomnia. The occurrence of insomnia is related to the changes of oxidative stress and inflammation levels in the body. Perimenopausal insomnia may be related to mild systemic inflammation, and oxidative stress can promote chronic inflammation. However, the underlying mechanism behind the phenomenon is still unclear. Objective: The aim was to investigate whether the occurrence of perimenopausal insomnia disorder is related to higher levels of oxidative stress and inflammation in the body, and to explore the role of inducible nitric oxide synthase (iNOS) in perimenopausal insomnia. Methods: A total of 127 perimenopausal participants were recruited in this study. Participants with global scores of the Pittsburgh sleep quality index (PSQI) >7 were diagnosed with insomnia (n = 54). The patient health questionnaire-9 (PHQ-9) and generalized anxiety disorder-7 (GAD-7) were evaluated, and sociodemographic data were obtained. The serum concentrations of iNOS, interleukin 6 (IL6), and tumor necrosis factor α (TNFα) were measured using commercial assays. Results: In the insomnia group, IL6 levels were positively correlated with scores of component 5 and component 7 of PSQI, respectively. PHQ-9 and GAD-7 were positively correlated with the global score of PSQI component 7 and PSQI, respectively; PHQ-9 was positively correlated with the global score of PSQI component 1. Finally, PHQ-9, iNOS, and IL6 were found to be independent predictors of perimenopausal insomnia using logistic regression. Conclusions: Moderate oxidative stress caused by a certain concentration of iNOS plays a protective role in perimenopausal insomnia, while proinflammation and depression are potential risk factors. [ABSTRACT FROM AUTHOR]

Introduction: The objective of the present study was to investigate the influence of cigarette smoking on serum and cerebrospinal fluid (CSF) calcium levels in Chinese heavy smokers. Methods: One hundred and sixty-seven male subjects were divided into non-smokers (95) and heavy smokers (72). Serum and CSF calcium concentrations were assayed. Smoking status was recorded and the degree of nicotine dependence (FNTD) was assessed by questionnaire. Analysis of variance was performed to assess the differences among dichotomous groups. Partial correlations between calcium level and FNTD scores were calculated. Results: In this population-based study, heavy smokers had significantly lower serum calcium levels than did non-smokers (p <.01). There was no difference in CSF calcium levels between heavy smokers and non-smokers. The average number of cigarettes smoked per day contributed to the decreased serum calcium levels in heavy smokers, while the age of smoking onset and smoking years did not affect serum levels within the smoker group. Furthermore, serum calcium levels negatively correlated with FNTD items 1, 4, 5, 6 and total scores; however, no correlation between CSF calcium levels and FNTD scores was found. Conclusions: Serum calcium levels decreased significantly in Chinese heavy smokers and were associated with the average number of cigarettes smoked per day and the degree of nicotine dependence in heavy smokers. [ABSTRACT FROM AUTHOR]

A new approach to determine the multiplication gain at punch-through for an avalanche photodiode with separate absorption and multiplication regions from excess noise measurement is discussed. Correctly determining the gain at punch-through is crucial for characterizing performance parameters of this type of avalanche photodiode. In order to illustrate the viability of this technique, in this work, a Ge on Si avalanche photodiode is analyzed. At a punch-through bias of 15 V, the multiplication gain was determined to be ∼1.54 while a simulation based on the device structure yielded a punch-through gain of 1.65. [ABSTRACT FROM AUTHOR]