Genome-wide association study implicates lipid pathway dysfunction in antipsychotic-induced weight gain: multi-ancestry validation.

Antipsychotic-induced weight gain (AIWG) is a common side effect of antipsychotic medication and may contribute to diabetes and coronary heart disease. To expand the unclear genetic mechanism underlying AIWG, we conducted a two-stage genome-wide association study in Han Chinese patients with schizophrenia. The study included a discovery cohort of 1936 patients and a validation cohort of 534 patients, with an additional 630 multi-ancestry patients from the CATIE study for external validation. We applied Mendelian randomization (MR) analysis to investigate the relationship between AIWG and antipsychotic-induced lipid changes. Our results identified two novel genome-wide significant loci associated with AIWG: rs10422861 in PEPD (P = 1.373 × 10-9) and rs3824417 in PTPRD (P = 3.348 × 10-9) in Chinese Han samples. The association of rs10422861 was validated in the European samples. Fine-mapping and functional annotation revealed that PEPD and PTPRD are potentially causal genes for AIWG, with their proteins being prospective therapeutic targets. Colocalization analysis suggested that AIWG and type 2 diabetes (T2D) shared a causal variant in PEPD. Polygenic risk scores (PRSs) for AIWG and T2D significantly predicted AIWG in multi-ancestry samples. Furthermore, MR revealed a risky causal effect of genetically predicted changes in low-density lipoprotein cholesterol (P = 7.58 × 10-4) and triglycerides (P = 2.06 × 10-3) caused by acute-phase of antipsychotic treatment on AIWG, which had not been previously reported. Our model, incorporating antipsychotic-induced lipid changes, PRSs, and clinical predictors, significantly predicted BMI percentage change after 6-month antipsychotic treatment (AUC = 0.79, R2 = 0.332). Our results highlight that the mechanism of AIWG involves lipid pathway dysfunction and may share a genetic basis with T2D through PEPD. Overall, this study provides new insights into the pathogenesis of AIWG and contributes to personalized treatment of schizophrenia.

Lactobacillus reuteri derived from horse alleviates Escherichia coli-induced diarrhea by modulating gut microbiota.

Diarrhea is a prevalent health issue in farm animals and poses a significant challenge to the progress of animal husbandry. Recent evidence suggested that probiotics can alleviate diarrhea by maintaining gut microbial balance and enhancing the integrity of the intestinal barrier. However, there is a scarcity of studies investigating the efficacy of equine Lactobacillus reuteri in relieving E. coli-induced diarrhea. Hence, this study aimed to examine the potential of equine-derived Lactobacillus reuteri in alleviating E. coli diarrhea from the perspective of gut microbiota. Results demonstrated that supplementation of Lactobacillus reuteri had the potential to alleviate diarrhea induced by E. coli infection and restore the decline of tight junction genes, such as Claudin-1 and ZO-1. Additionally, Lactobacillus reuteri supplementation can restore the expression of inflammatory factors (IL-6, IL-10, TNF-α, and IFN-γ) and reduce colon inflammatory damage. Diversity analysis, based on amplicon sequencing, revealed a significant reduction in the diversity of gut microbiota during E. coli-induced diarrhea. Moreover, there were notable statistical differences in the composition and structure of gut microbiota among the different treatment groups. E. coli could induce gut microbial dysbiosis by decreasing the abundance of beneficial bacteria, including Lactobacillus, Bifidobacterium, Ligilactobacillus, Enterorhabdus, and Lachnospiraceae_UCG_001, in comparison to the control group. Conversely, supplementation with Lactobacillus reuteri could restore the abundance of beneficial bacteria and increase the diversity of the gut microbiota, thereby reshaping gut microbiota. Additionally, we also observed that supplementation with Lactobacillus reuteri alone improved the gut microbial composition and structure. In summary, the findings suggest that Lactobacillus reuteri can alleviate E. coli-induced diarrhea by preserving the integrity of the intestinal barrier and modulating the composition of the gut microbiota. These results not only contribute to understanding of the mechanism underlying the beneficial effects of Lactobacillus reuteri in relieving diarrhea, but also provide valuable insights for the development of probiotic products aimed at alleviating diarrheal diseases.

Study on the genotypes of Echinococcus granulosus in yaks and sheep from Langkazi County in Tibet Autonomous Region of China based on mitochondrial cox1 and nad1.

To determine the genotypes of the epidemic strains of Echinococcus granulosus in livestock in Tibet, samples of E. granulosus cysts were collected from 11 yaks and 62 sheep. Genomic DNA was extracted from these samples, and gene fragments of mitochondrial cytochrome c oxidase subunit I (cox1) and NADH dehydrogenase subunit I (nad1) were amplified by PCR and sequenced. DNASTAR and MAGA7.0 were employed for homology analysis and phylogenetic tree construction. Echinococcus granulosus cysts were detected in 56.2% (41/73) of the samples screened. Of these, 63.4% (26/41) were identified as E. granulosus G1 genotype (common sheep strain), 24.4% (10 /41) as G3 genotype (buffalo strain), and 12.2% (5/41) were G6 genotype (camel strain). The study concludes that yaks and sheep in Langkazi county, Tibet, carry three E. granulosus genotypes (G1, G3, and G6), with the G1 genotype the predominant genotype in the region. This study clarifies the distribution of E. granulosus genotypes, providing genetic data and insight for the surveillance and prevention of echinococcosis.

A typical antipsychotic treatment induced gradually expanding white matter alterations in healthy individuals with persistent auditory verbal hallucinations-an artificially controlled pilot study.

OBJECTIVE: The aim of this study was to explore the effects of atypical antipsychotics (AaPs) on brain white matter (WM) tracts in healthy individuals with auditory verbal hallucinations (Hi-AVHs). METHODS: We analyzed neuroimaging, AVH symptoms, and cognitive assessment data obtained from 39 Hi-AVHs who reported being distressed by persistent AVHs and volunteered to receive AaP treatment. We used tract-based spatial statistics (TBSS) and t tests to explore AaP pharmacotherapy effects on AVH symptoms and brain WM alterations in Hi-AVH subjects. RESULTS: TBSS and t tests revealed WM alterations after AaP treatment, relative to pretreatment observations. Although AaPs alleviated AVH symptoms, WM alterations in these subjects expanded over 8 months of AaP treatment, encompassing most major WM tracts by the end of the observation period, including the corpus callosum, arcuate fasciculus, cortico-spinal tracts, anterior commissure, and posterior commissure. CONCLUSIONS: The worsening of AaP-associated WM alterations observed in this study suggest that AaPs may not be a good choice for the treatment of Hi-AVHs despite their ability to alleviate AVHs.

Dynamic distribution of nasal microbial community in yaks (Bos grunniens) at different ages.

The significance of microbial community structure has been extensively recognized due to its key roles in metabolism, immunity, and health maintenance. Importantly, increasing evidence indicated that the dynamic distribution of microbial community structure can be used for evaluating the health condition of host. Yaks (Bos grunniens), mainly inhabiting in high-altitude hypoxic environment, are characterized by excellent adaptability and strong resistance. Currently, it has been determined that yaks possessed the complicated gastrointestinal microbial ecosystem, whereas not much is known about the nasal microbial community structure of yaks. Therefore, this study was performed to compare and analyze the differences in nasal microbiota of yaks with different ages by high-throughput sequencing. In this study, a total of 487,168 and 486,498 high-quality sequences were achieved from YYG (1-month-old yaks) and AYG (1-year-old yaks), respectively. Additionally, 5,340 operational taxonomic units (OTUs) were identified and 657 OTUs were in common among all samples. Proteobacteria and Firmicutes were the two most predominant phyla in all samples. Moreover, Actinobacteria and Bacteroidetes were the tertiary dominant phyla in YYG and AYG, respectively. At the level of genus, Moraxella, Faucicola, and Mannheimia were the most preponderant bacterial genera in the young and adult yaks. As compared to the AYG, the proportions of Actinobacillus, Parabacteroides, and Haemophilus in the YYG were significantly increased, whereas the Rhizobacter was decreased. In conclusion, this study firstly compared and investigated the distribution of nasal microbiota in yaks with different ages. Results demonstrated that age was an important factor affecting the nasal microbiota. Moreover, the current study will provide a theoretical basis for the further study on the microbial community structure of yaks.

Prescription practices in the treatment of agitation in newly hospitalized Chinese schizophrenia patients: data from a non-interventional naturalistic study.

BACKGROUND: Data on the pharmacological management of acute agitation in schizophrenia are scarce. The aim of this study is to investigate the prescription practices in the treatment of agitation in Chinese patients with schizophrenia. METHODS: We conducted a large, multicenter, observational study in 14 psychiatry hospitals in China. Newly hospitalized schizophrenia patients with the PANSS-EC total score ≥ 14 and a value ≥4 on at least one of its five items were included in the study. Their drug treatments of the first 2 weeks in hospital were recorded by the researchers. RESULTS: Eight hundred and 53 patients enrolled in and 847 (99.30%) completed the study. All participants were prescribed antipsychotics, 40 (4.72%) were prescribed benzodiazepine in conjunction with antipsychotics and 81 were treated with modified electric convulsive therapy (MECT). Four hundred and 12 (48.64%) patients were prescribed only one antipsychotic, in the order of olanzapine (120 patients, 29.13%), followed by risperidone (101 patients, 24.51%) and clozapine (41 patients, 9.95%). About 435 (51.36%) participants received antipsychotic polypharmacy, mostly haloperidol + risperidone (23.45%), haloperidol+ olanzapine (17.01%), olanzapine+ ziprasidone (5.30%), haloperidol + clozapine (4.37%) and haloperidol + quetiapine (3.90%). Binary logistic regression analysis suggests that a high BARS score (OR 2.091, 95%CI 1.140-3.124), severe agitation (OR 1.846, 95%CL 1.266-2.693), unemployment or retirement (OR 1.614, 95%CL 1.189-2.190) and aggressiveness on baseline (OR 1.469, 95%CL 1.032-2.091) were related to an increased antipsychotic polypharmacy odds. Male sex (OR 0.592, 95%CL 0.436-0.803) and schizophrenia in older persons (age ≥ 55 years, OR 0.466, 95%CL 0.240-0.902) were less likely to be associated with antipsychotic polypharmacy. CONCLUSION: The present study demonstrates that monotherapy and polypharmacy display equally common patterns of antipsychotic usage in managing agitation associated with schizophrenia in China. The extent and behavioral activities of agitation and several other factors were associated with polypharmacy.

Determination of Pb, Cr, Cd, and As in Aluminum-Plastic Packaging Materials via Inductively Coupled Plasma-Mass Spectrometry with Microwave Digestion.

Microwave digestion was performed to study the pretreatment methods of aluminum-plastic packaging materials (APPMs). Five different digestion reagent combinations and proportions were thoroughly considered. Digestion results indicated that the most suitable reagent combination was sulfuric and nitric acids with the optimal proportion of 1∶7 after the orthogonal experiment. Moreover, the possible reasons of the experimental phenomenon were analyzed. The contents of Pb, Cr, Cd, and As in APPMs were subsequently determined via inductively coupled plasma-mass spectrometry (ICP-MS). The satisfactory linearity of calibration curves was obtained with the linear correlation coefficients above 0.999 5, and the instrument detection limits of Pb, Cr, Cd, and As for the current method were 0.215, 0.067, 0.006 and 0.020 ng·mL-1, respectively. Furthermore, the recoveries of standard addition ranged from 83.8% to 111.6%, and the relative standard deviations ranged from 0.5% to 7.4%. Two independent parallel determination results of Pb, Cr, Cd, and As in APPMs were approaching, and the student's t-test (confidence level, α=0.05) showed that the determination results had no significant differences. In conclusion, the present method exhibited fine linearity, low detection limit, high recovery, and good precision, which can accurately be utilized to analyze Pb, Cr, Cd, and As elements in APPMs or other similar materials.

Predictors of neurocognitive impairment at 2years after a first-episode major depressive disorder.

BACKGROUND: Neurocognitive impairment is a contributor to major depressive disorder (MDD). However, MDD patients show great variability in the level and course of deficits. The present longitudinal study was to identify predictors of neurocognitive impairment in first-episode MDD patients. METHODS: Neurocognitive performance was analyzed in a cohort of 100 patients at 2years after a first-episode MDD. Subgroups, deficit type vs. non-deficit type, were compared on baseline clinical, neuropsychological, premorbid and sociodemographic characteristics. The analysis was performed using the multivariate logistic regression to obtain a model for neurocognitive impairment determination. The predicted probabilities of multivariate logistic regression were analyzed using receiver operating characteristic (ROC) curve. RESULTS: Fifty-two percent of MDD participants presented general neurocognitive impairment. The regression analyses demonstrated that clinical and sociodemographic characteristics were not predictive variables. A model composed of processing speed, executive function, and attention, dexterity correctly classified 85.8% of the MDD patients with deficit type. ROC curve indicated that the changes of these three cognitions could identify MDD with deficit type from MDD with non-deficit type. In addition, ROC curve also indicated that processing speed and executive function could identify MDD from CN subjects. Finally, processing speed performance was negatively correlated with Hamilton Depression Scale scores in both MDD with deficit and non-deficit type. CONCLUSION: The present study provides novel insights on frequency and neurocognitive profile of subtypes of patients showing impairment. Our results suggest that processing speed impairment is a trait dimension of the disorder related to specific cognitive dysfunctions and the severity of depression.

Mechanisms of behavior modification in clinical behavioral medicine in China.

BACKGROUND: Behavior modification, as the core of clinical behavioral medicine, is often used in clinical settings. PURPOSE: We seek to summarize behavior modification techniques that are commonly used in clinical practice of behavioral medicine in China and discuss possible biobehavioral mechanisms. METHODS: We reviewed common behavior modification techniques in clinical settings in China, and we reviewed studies that explored possible biobehavioral mechanisms. RESULTS: Commonly used clinical approaches of behavior modification in China include behavior therapy, cognitive therapy, cognitive-behavioral therapy, health education, behavior management, behavioral relaxation training, stress management intervention, desensitization therapy, biofeedback therapy, and music therapy. These techniques have been applied in the clinical treatment of a variety of diseases, such as chronic diseases, psychosomatic diseases, and psychological disorders. The biobehavioral mechanisms of these techniques involve the autonomic nervous system, neuroendocrine system, neurobiochemistry, and neuroplasticity. CONCLUSION: Behavior modification techniques are commonly used in the treatment of a variety of somatic and psychological disorders in China. Multiple biobehavioral mechanisms are involved in successful behavior modification.

The prevalence and incidence of major depressive disorder in 8079 Chinese university freshmen before and during COVID-19.

BACKGROUND: COVID-19 pandemic may impact the prevalence and incidence of depression in college students. However, there is no longitudinal study focusing on major depressive disorder (MDD) before and during COVID-19 pandemic. METHODS: A cohort study was carried out among 8079 Chinese college freshmen. The baseline survey was conducted in 2018 (T0) and annual follow-ups were in 2019 (T1, before COVID-19) and in 2020 (T2, during COVID-19). CIDI-3.0 was used to diagnose MDD. Random effects logistic models of panel data analysis were used for the risk of MDD incidence. STATA 15.1 was used for all analysis. RESULTS: The weighted 12-month prevalence of MDD at T2 (2.10%) was significantly lower than that at T1 (2.67%) (p < 0.001). However, among students who reported exposure to the COVID-19 events, the annual prevalence of MDD at T2 was higher than that at T1 (4.21% vs. 2.79%, p < 0.001). The incidence from T0 to T1, incidence from T1 to T2, and the 2-year incidence was 2.23%, 1.34% and 3.75%, respectively. Only 8.93% of MDD students had chosen to seek professional help during the COVID-19 pandemic period. LIMITATIONS: The computer assisted CIDI may not be as sensitive and specific as the diagnosis made by a psychiatrist and may have caused report bias. CONCLUSIONS: Although the MDD incidence of college students was decreasing over time, the impact of the pandemic on student mental health may depend on exposure to COVID-19 events. Not seeking professional help in the Chinese college students is still an important issue.

Lack of neural load modulation explains attention and working memory deficits in first-episode schizophrenia.

OBJECTIVE: Although working memory (WM) deficits are well-recognized core features of schizophrenia, the underlying pathophysiological substrates of impairment in early psychosis before medication remain unclear. One possibility is that deficits in selective attention contribute to WM impairment. METHODS: EEG was acquired from 25 first-episode drug-naive schizophrenia patients and 26 matched controls while they performed a WM task. RESULTS: Compared with controls, schizophrenia patients showed a deficit in WM capacity in both behavioral and electrophysiological measures. Notably, the increased parieto-occipital pre-encoding stimulus alpha power in patients with schizophrenia predicted their subsequent reduced N2pc and symptom severity, whereas this relationship was absent in controls. Moreover, lacking load effect in neural activities predicted the serious impairment in behavior for schizophrenia. CONCLUSIONS: This pilot study provides preliminary evidence that the lack of load effect in neural activities may serve as potential underlying mechanisms for the impaired selective attention and WM capacity in schizophrenia. Our results emphasize the importance of pre-encoding stimulus alpha power in first-episode drug-naive schizophrenia. SIGNIFICANCE: These findings provide a neurophysiological correlate for the subjective reports of working memory deficits in schizophrenia and indicate the potential effective targets for clinical intervention.

Converging evidence implicates the dopamine D3 receptor gene in vulnerability to schizophrenia.

The dopamine D3 receptor has been implicated in the pathophysiology of schizophrenia (SZ). A glycine-to-serine polymorphism at codon 9 of the dopamine D3 receptor gene (DRD3), rs6280, has been widely studied for its association with SZ, but with conflicting results. Altered levels of DRD3 mRNA have also been reported in SZ compared with normal controls. Moreover, it has been suggested that DRD3 is subject to recent positive selection in European populations. To explore the potential role of DRD3 in SZ from these various aspects, we conducted a threefold study. First, we tested the genetic association of rs6280 with SZ in 685 SZ patients and 768 normal controls. Second, we examined DRD3 mRNA levels in peripheral leukocytes in a subset of 37 patients and 37 controls. Finally, we investigated the possible recent positive selection on DRD3 in an East Asian population. Consequently, we observed that the genotypic distribution of rs6280 was nominally associated with SZ (P = 0.045), with the ancestral CC genotype being significantly over-represented in SZ patients. DRD3 mRNA levels were significantly lower in patients than in controls (P = 5.91E-5). The derived C-allele of rs6280 might have been subject to recent positive selection (P < 0.001) in the East Asian population. Taken together, our results suggest that DRD3, a gene possibly under natural selection, might be involved in vulnerability to SZ in the Han Chinese population. These findings may further add to the body of data implicating DRD3 as a schizophrenia risk gene.

Functional, oncological outcomes and safety of nephron-sparing surgery versus radical nephrectomy in patients with localised renal cell carcinoma with high anatomical complexity: a retrospective cohort study with propensity score matching method.

BACKGROUND: Nephron-sparing surgery (NSS) is widely applied for small renal masses. However, the indication of NSS in patients with localised renal cell carcinoma (RCC) with high anatomical complexity is controversial. Thus, we compare functional and oncological outcomes, and safety of NSS versus radical nephrectomy (RN) in patients with localised RCC with high anatomical complexity Radius, Exophytic/endophytic, Nearness, Anterior/posterior, Location. (R.E.N.A.L.) score ≥10. METHODS: We evaluated 575 patients with localised RCC that underwent NSS or RN at our centre between January 2013 and December 2018. Demographic characteristics, comorbidities, tumour data, surgery procedure, perioperative data and survival data were recorded. After propensity score matching, the variables were compared by binary paired logistic regression. The change in estimated glomerular filtration rate (eGFR) was compared with covariance analysis adjusted for baseline value. Recurrence and survival were calculated using Kaplan-Meier curves with log-rank tests. P<0.05 was considered to be statistically significant. RESULTS: In the matched group, NSS showed lower eGFR loss compared with the RN group (17.81 mL/min/1.73 m2 vs 28.28 mL/min/1.73 m2, p<0.001). Moreover, the recurrence-free survival (p=0.002), cardiocerebrovascular disease-specific survival (p=0.015) and overall survival (p=0.017) of patients with NSS were better than those that underwent RN. Cancer-specific survival in both groups showed no difference (p=0.323). The incidence of minor and major complications in the two groups showed no difference (p=0.144, p=0.108). CONCLUSION: NSS resulted in better preservation of renal function and oncological outcomes compared with RN, with acceptable complications. These findings could help improve clinical decision making for patients with localised RCC with high anatomical complexity. TRIAL REGISTRATION NUMBER: ChiCTR2000040652.

Protocol for a pharmacogenomic study on individualised antipsychotic drug treatment for patients with schizophrenia.

BACKGROUND: Schizophrenia is a severe and complex psychiatric disorder that needs treatment based on extensive experience. Antipsychotic drugs have already become the cornerstone of the treatment for schizophrenia; however, the therapeutic effect is of significant variability among patients, and only around a third of patients with schizophrenia show good efficacy. Meanwhile, drug-induced metabolic syndrome and other side-effects significantly affect treatment adherence and prognosis. Therefore, strategies for drug selection are desperately needed. In this study, we will perform pharmacogenomics research and set up an individualised preferred treatment prediction model. AIMS: We aim to create a standard clinical cohort, with multidimensional index assessment of antipsychotic treatment for patients with schizophrenia. METHOD: This trial is designed as a randomised clinical trial comparing treatment with different kinds of antipsychotics. A total sample of 2000 patients with schizophrenia will be recruited from in-patient units from five clinical research centres. Using a computer-generated program, the participants will be randomly assigned to four treatment groups: aripiprazole, olanzapine, quetiapine and risperidone. The primary outcomes will be measured as changes in the Positive and Negative Syndrome Scale of schizophrenia, which reflects the efficacy. Secondary outcomes include the measure of side-effects, such as metabolic syndromes. The efficacy evaluation and side-effects assessment will be performed at baseline, 2 weeks, 6 weeks and 3 months. RESULTS: This trial will assess the efficacy and side effects of antipsychotics and create a standard clinical cohort with a multi-dimensional index assessment of antipsychotic treatment for schizophrenia patients. CONCLUSION: This study aims to set up an individualized preferred treatment prediction model through the genetic analysis of patients using different kinds of antipsychotics.

Frontal Alpha Complexity of Different Severity Depression Patients.

Depression is a leading cause of disability worldwide, and objective biomarkers are required for future computer-aided diagnosis. This study aims to assess the variation of frontal alpha complexity among different severity depression patients and healthy subjects, therefore to explore the depressed neuronal activity and to suggest valid biomarkers. 69 depression patients (divided into three groups according to the disease severity) and 14 healthy subjects were employed to collect 3-channel resting Electroencephalogram signals. Sample entropy and Lempel-Ziv complexity methods were employed to evaluate the Electroencephalogram complexity among different severity depression groups and healthy group. Kruskal-Wallis rank test and group t-test were performed to test the difference significance among four groups and between each two groups separately. All indexes values show that depression patients have significantly increased complexity compared to healthy subjects, and furthermore, the complexity keeps increasing as the depression deepens. Sample entropy measures exhibit superiority in distinguishing mild depression from healthy group with significant difference even between nondepressive state group and healthy group. The results confirm the altered neuronal activity influenced by depression severity and suggest sample entropy and Lempel-Ziv complexity as promising biomarkers in future depression evaluation and diagnosis.

Cardiorespiratory Coupling Analysis Based on Entropy and Cross-Entropy in Distinguishing Different Depression Stages.

AIMS: This study used entropy- and cross entropy-based methods to explore the cardiorespiratory coupling of depressive patients, and thus to assess the values of those entropy methods for identifying depression patients with different disease severities. METHODS: Electrocardiogram (ECG) and respiration signals from 69 depression patients were recorded simultaneously for 5 min. Patients were classified into three groups according to the Hamilton Depression Rating Scale (HDRS) scores: group Non-De (HDRS 0-7), Mid-De (HDRS 8-17), and Con-De (HDRS >17). Sample entropy (SEn), fuzzy measure entropy (FMEn) and high-frequency power (HF) were computed on the original RR interval time series and breath-to-breath interval time series. Cross sample entropy (CSEn) and cross fuzzy measure entropy (CFMEn) were computed on interval time series resampled at 2 Hz and 4 Hz, respectively. The difference among three patient groups and correlation between entropy values and HDRS scores were analyzed by statistical analysis. Surrogate data were also employed to confirm the validation of entropy measures in this study. RESULTS: A consistent increasing trend has been found among most entropy measures from Non-De, to Mid-De, and to Con-De groups, and a significant (p < 0.05) difference in FMEn of RR intervals exists between Non-De and Mid-De or Con-De groups. Significant differences have been also found in all cross entropies, between Non-De and Con-De groups and between Mid-De and Con-De groups. Furthermore, significant correlations also exist between HDRS scores and FMEn of RR intervals (R = 0.24, p < 0.05), CSEn at 4 Hz (R = 0.26, p < 0.05) or 2 Hz (R = 0.28, p < 0.05) resampling, and CFMEn at 4 Hz (R = 0.31, p < 0.01) or 2 Hz (R = 0.30, p < 0.05) resampling. A significant difference of cardiorespiratory coupling parameters between different depression stages and significant correlations between entropy measures and depression severity both indicate central autonomic dysregulation in depression patients and reflect varying degrees of vagal modulation reduction among different depression levels. Analysis based on surrogate data confirms that the non-linear properties of the physiological signals played a major role in depression recognition. CONCLUSION: The current study demonstrates the potential of cardiorespiratory coupling in the auxiliary diagnosis of depression based on the entropy method.

Comparison for Efficacy and Tolerability among Ten Drugs for Treatment of Parkinson's Disease: A Network Meta-Analysis.

Parkinson's disease (PD) is a long term disorder affects the central nervous system and we aim to determine the relative efficacy of the current available drugs used in PD. Firstly, we performed a systematic review in current literature and eligible studies were retrieved from online databases, relevant data were extracted. Efficacy of these medications was assessed by different Unified Parkinson's Disease Rating Scales (UPDRS). Mean difference (MD) and odds ratio (OR) were produced by pairwise or network meta-analysis (NMA). Finally, we performed a cluster analysis for the included medications with respect to their surface under the cumulative ranking curve (SUCRA). Pairwise meta-analysis suggests that selegiline had a higher ranking in UPDRS II, UPDRS III and UPDRS total than bromocriptine and levodopa. Selegiline was more tolerable than bromocriptine (OR = 0.62, CI: 0.39 to 0.98) and pramipexole was less tolerable than levodopa (OR = 1.43, CI = 1.00 to 2.04). Results of NMA indicate that patients with levodopa, pramipexole, ropinirole and selegiline exhibited a significantly improved UPDRS III than those with lazabemide. To sum up, levodopa, selegiline, ropinirole and rotigotine were recommended for PD patients as they appeared relatively high efficacy and tolerability.

Prevalence and risk factors of agitation in newly hospitalized schizophrenia patients in China: An observational survey.

This multi-center observational study investigated the prevalence of agitation in newly hospitalized schizophrenia patients in China and its potential risk factors. It was performed in 2014 and covered 14 hospitals. Newly hospitalized patients with schizophrenia or suspected schizophrenia who met the diagnostic criteria of the International Statistical Classification of Diseases and Related Health Problems, 10th revision, were recruited. Agitation and related risk factors were evaluated by a questionnaire designed for the survey. General demographic data, disease characteristics, scores on schizophrenia rating scales and agitation rating scales (e.g., Positive and Negative Syndrome Scale-Excited Component [PANSS-EC] and Behavioral Activity Rating Scale [BARS]) were collected. Among the 1512 patients screened in the study, 1400 (92.59%) were eligible. According to the PANSS-EC and BARS, the prevalence of agitation was 60.92% (853 of 1400) and 59.00% (826 of 1400), respectively. The overall prevalence of agitation was 47.50% (665 of 1400). The most important risk factor of agitation was being aggressive at baseline (Modified Overt Aggression Scale score ≥4, odds ratio=6.54; 95% confidence interval=4.93-8.69). Other risk factors included a history of aggressive behavior, northern region of residence, involuntary hospitalization, disease severity, low level of education, living alone, being unemployed or retired.

A comparative survey on alcohol and tobacco use in urban and rural populations in the Huaihua District of Hunan Province, China.

Modern Chinese society is comprised primarily of two subgroups-urban and rural subpopulations. However, comparative data regarding alcohol and tobacco use between urban and rural subgroups in China is sparse. An epidemiological survey was conducted in the Huaihua District of Hunan Province of China, and 3,543 urban and 4,294 rural dwellers aged 15-65 years were interviewed. The drinking rates were higher in the urban area (45.9%) than in the rural area (39.6%), whereas the smoking rates were higher in the rural area (35.9%) than in the urban area (28.7%). Rural respondents were more likely to report heavy drinking (Adjusted odds ratio [OR]=1.77) and heavy smoking (Adjusted OR=2.46) than urban populations. Specifically, rural males had higher odds of heavy alcohol and tobacco use than urban males, whereas more urban females were more likely to drink and smoke than rural counterparts. The findings suggest that the status of alcohol and tobacco use varies in the urban and rural area. The heavy alcohol and tobacco consumption among rural populations underscores the need to develop and implement culturally appropriate public health intervention and awareness arising programs especially in rural China.

Conditioned place preference associates with the mRNA expression of diazepam binding inhibitor in brain regions of the addicted rat during withdrawal.

The diazepam binding inhibitor (DBI) modulating the functions of the GABAA receptors is involved in the maladaptation of neural system during using opiate, but its role in opiate dependence is not fully understood. Using conditioned place preference (CPP) rat model and in situ hybridization technique, we examined the correlation between opiate dependence and the mRNA expression of DBI. We found that chronic morphine treatment enabled CPP and increased the DBI mRNA expression in crucial brain regions of addiction. Withdrawal for 3 days caused significant physical signs and further increased the DBI mRNA expression. Both the DBI mRNA and CPP expression remained significantly high but physical signs were at control level in the animals withdrawal for 6 days. Remarkably, the DBI mRNA expressions in the CA1 region of the hippocampus (CA1), ventral tagmental area (VTA), nucleus accumbens (NAc) and amygdala (AMG) were positively correlated to CPP during the periods from withdrawal for 3 days to withdrawal for 6 days. These findings suggest that DBI may play a role in both physical and psychological dependence of opiates.