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Background Bipolar disorder (BD) has been associated with an increased prevalence of weight gain and abnormally elevated plasma homocysteine (Hcy) levels. However, the relationship between BMI and Hcy in BD patients has not been investigated. This study aimed to explore this relationship in Chinese patients with BD. Methods Plasma Hcy levels, socio-demographic parameters, clinical and anthropometric data were collected from 195 BD inpatients and 84 healthy controls. The level of plasma Hcy was determined by high-performance liquid chromatography. Body mass index (BMI) was calculated by body weight divided by the square of the height. The participants were divided into a high BMI group and a low BMI group using 24 kg/m2 as a threshold. Results The prevalence of high BMI was slightly elevated in BD patients in comparison to healthy controls. Patients with elevated BMI had significantly higher Hcy levels than patients with low BMI. Hcy level was an independent contributor of the occurrence of high BMI in BD patients. The level of Hcy was positively correlated with BMI in BD patients. In addition, depressive episodes of BD were positively correlated with the prevalence of high BMI and married BD patients were more likely to have high BMI levels. Conclusions There is a close relationship between BMI and plasma Hcy levels in patients with BD, suggesting that Hcy may be an important indicator for BD-induced weight gain. This finding provides a new avenue for weight management of BD patients and to help avoid the potential risk of cardiovascular diseases.

Background Glucose metabolism is related to depression, but the relationship between blood glucose and suicide attempts in patients with major depressive disorder (MDD) remains unclear. This large-scale sample explores the relationship between suicide attempts and fasting blood glucose, in addition to sex differences in first-episode and drug naive (FEDN) MDD patients. Methods 1718 FEDN MDD patients diagnosed for the first time were recruited, and their demographic data, clinical data, and blood glucose indicators were collected. 17-item Hamilton Depression Rating Scale (HAMD), 14-item Hamilton Anxiety Rating Scale (HAMA), and positive subscale of the Positive and Negative Syndrome Scale (PANSS) were used to assess their depression, anxiety and psychotic symptoms, respectively. Results The depression, anxiety, psychotic symptoms and blood sugar levels of the suicide attempt group were higher than those of the non-suicide attempt group. Correlation analysis showed that blood glucose was significantly associated with suicide attempts in male and female patients. While binary logistic regression showed that blood glucose levels were significantly associated with suicide attempts in male patients, it showed that suicide attempts were not significantly associated with blood glucose levels in female patients. Limitations The main limitations are cross-sectional design and inability to control selection bias. Conclusions In male MDD patients, fasting blood glucose level is a potential biomarker of suicide attempt, which deserves attention to avoid suicide risk. However, in female patients, fasting blood glucose has no significant correlation to suicide attempts.

Cognitive impairment is one of the core symptoms of schizophrenia patients. There are often various differences in the efficacy of different antipsychotics in the treatment of cognitive impairment by sex. The purpose of this study was to explore whether there are gender differences in the association between serum BDNF levels and cognitive performance in patients with schizophrenia taking different antipsychotics.We used Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) to assess the cognitive function of three groups of schizophrenia patients (420 on clozapine, 183 on risperidone, 215 on typical antipsychotic drugs) and 467 healthy controls. Positive and Negative Syndrome Scale (PANSS) was used to assess schizophrenia symptoms of patients. Enzyme-Linked ImmunoSorbent Assay was used to measure serum brain-derived neurotrophic factor (BDNF) levels.Among the patients taking clozapine and typical antipsychotic drugs, the RBANS total score, immediate memory, attention, and delayed memory subscores in females were higher than those in males (all p 0.05). The RBANS total score and the delayed memory subscores in female patients taking risperidone were higher than those in male patients (all p 0.05). Significant correlation between BDNF and cognition only existed in male patients taking clozapine, male patients taking risperidone, and male and female patients taking typical antipsychotic drugs (all p 0.05).Regardless of antipsychotic effect, the cognitive function of female patients is better compared to that of male patients. For male patients, the association between BDNF and cognitive performance exists in each medication group. For female patients, this significant association was only shown in the typical antipsychotic group, but not in the clozapine and risperidone groups.

Aim Gender differences in major depressive disorder (MDD) are commonly reported; however, gender differences in first-episode and drug-naive (FEDN) patients with major depressive disorder remain unclear. This study aimed to examine potential gender differences in the prevalence and clinical correlates of comorbid anxiety in FEDN patients with MDD. Methods A cross-sectional study was conducted with1718 FEDN patients with MDD. Patients' demographic and clinical data were collected and analyzed using standardized clinical evaluation forms. The Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA) and Positive and Negative Syndrome Scale (PANSS) were used to evaluate depression, anxiety and psychotic symptoms, respectively. Results There were no gender-based differences in the comorbidity rates of MDD and anxiety disorders (male: 10.2% vs. female:12.7%, P = 0.123). The prevalence of MDD with severe anxiety symptoms in male patients was similar to that of female patients (80.8%vs. 80.1%, P = 0.749). Male MDD patients were younger, had earlier age of onset, and were less likely to be married. In both the male and female groups, HAMD scores, HAMA scores, suicide attempts, and psychotic symptoms in patients with severe anxiety symptoms were higher than those patients without severe anxiety symptoms (all p ≤ 0.001). Furthermore, binary logistic regression analysis showed that psychotic symptoms and suicide attempts significantly predicted severe anxiety symptoms in both male and female patients with MDD, while body mass index(BMI)significantly predicted severe anxiety symptoms in MDD females only. Conclusion Our study showed that there were no gender differences in the prevalence of comorbid anxiety in FEDN patients with MDD. Suicide attempts and psychiatric symptoms were associated with severe anxiety symptoms in both men and women with MDD, whereas BMI was only correlated with severe anxiety symptoms in women.

Background Major depressive disorder (MDD) is a prevalent psychiatric disorder, with increasing evidence that patients with MDD display psychotic symptoms. Studies have shown the association between lipid levels and MDD, but few have explored the relationship between lipids and psychotic symptoms in MDD. The objective of this study was to compare the differences of lipid levels between patients with psychotic major depressive disorder (PMD) and those with non-psychotic major depressive disorder (NPMD) in first-episode and drug-naive (FEDN) MDD patients. Methods A total of 1718 outpatients with FEDN MDD were recruited. In addition to collecting basic information, their blood specimens were also collected to detect serum TC, HDL-C, TG, and LDL-C. The Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA), and Positive and Negative Syndrome Scale (PANSS) were used to assess their depression, anxiety, and psychotic symptoms respectively. Results Compared to those with NPMD, those with PMD had higher scores on HAMD, HAMA, and more elevated serum TC, TG, and LDL-C levels, but lower HDL-C levels (all p 0.05). Further logistic regression analysis showed that TG, the severity of depressive and anxiety symptoms were significantly associated with psychotic symptoms (p 0.05). Limitations No causal relationship could be drawn due to the cross-sectional design. Conclusions Psychotic symptoms in patients with MDD may be predicted by lipid levels in the future. Our findings suggest that TG seems to predict the presence of current psychotic features among patients with FEDN MDD.

Patients with schizophrenia (SCZ) exhibit higher suicide rates than the general population. However, the molecular mechanism remains poorly understood. Tumor necrosis factor (TNF)-alpha polymorphisms have been repeatedly indicated to play a pathogenetic role in various mental disorders, but none of these studies focused on the susceptibility to suicidal behavior in SCZ. We recruited 1087 chronic inpatients with SCZ and 576 controls to assess the psychopathological symptoms of SCZ using the Positive and Negative Syndrome Scale scales. We selected 2 polymorphisms (-308G>A and -1031C>T) in the TNF-alpha gene and analyzed their associations with SCZ and suicide. Our results showed that TNF-alpha -308G>A and -1031C>T were not related to SCZ and suicide. However, we found that suicide attempters with the C allele carriers exhibited suicidal behaviors significantly later than those with TT genotype in the SCZ patients. The haplotype containing the T allele of the -1031 was significantly associated with the age of suicide initiation. Further logistic regression analysis showed that -1031C>T interacted with psychopathological symptoms and drinking, age of smoking, and related to the initiation age of suicide attempts. Our study demonstrated that the TNF-alpha variants may affect the age at which suicide attempts started among SCZ suicide attempters.

Deficit syndrome (DS) is a common subgroup of schizophrenia. However, few studies have examined the prevalence and risk factors for DS in Chinese Han patients with schizophrenia. The aim of this study was to assess prevalence, demographic and clinical characteristics of DS in Chinese Han patients with first-episode drug naïve (FEDN) schizophrenia.In total, 235 patients with schizophrenia were recruited, and clinical and demographic data were collected. The Positive and Negative Syndrome Scale (PANSS) was utilized for the psychopathological symptoms, and the 17-item Hamilton Depression Rating Scale (HDRS-17) for depressive symptoms. The Proxy for the Deficit Syndrome (PDS) was adopted to identify DS.The prevalence of DS in the cohort of first-episode schizophrenia patients was 23.0%. Compared to those patients without DS, patients with DS had younger age, lower education level, and were more likely to be single. Further, DS patients had significantly lower scores of positive symptoms, general psychopathology, and depression than non-DS patients. Patients with DS had fewer suicide attempts, but they had more severe negative symptoms and cognitive impairment (all p 0.05). Multiple regression showed that poor cognitive functioning, lower levels of depression and younger age at onset were predictors of DS.Chinese Han patients with FEDN schizophrenia have high prevalence of DS. Some demographic and clinical parameters may be associated with DS.

The pathogenesis and etiology of schizophrenia (SCZ) remains unclear. Accumulating studies showed that complex interrelationships between brain-derived neurotrophic factor (BDNF) and an imbalanced redox system has a crucial role in the psychopathology of SCZ. However, the influence of the interrelationships of BDNF and superoxide dismutase (SOD) on cognitive impairment and clinical symptomatology in drug-naive first-episode (DNFE) SCZ patients has not been studied thoroughly. Serum BDNF levels, plasma total SOD, manganese-SOD (Mn-SOD), copper/zinc-containing SOD (CuZn-SOD) activities, and malondialdehyde (MDA) levels were measured in 327 DNFE patients with SCZ and 391 healthy controls. Cognitive functions were measured using the Repeatable Battery for the Assessment of Neuropsychological status (RBANS) and clinical symptoms were evaluated by the Positive and Negative Syndrome Scale (PANSS). Compared with the controls, the DNFE patients had increased activities of total SOD and CuZn-SOD, and reduced levels of BDNF and MDA. BDNF levels were positively correlated with CuZn-SOD activity in patients. In addition, we found that elevated Mn-SOD and CuZn-SOD activities were related to PANSS depression factor. Moreover, an interactive effect of BDNF levels and Mn-SOD activity was associated with attentional index score in the patients. Therefore, our findings suggested that interrelationships between BDNF and antioxidant mechanisms might underlie the pathological mechanisms of cognitive impairments and symptomatology in the DNFE patients with SCZ.

Patients with schizophrenia (SCZ) exhibit higher suicide rates than the general population. However, the molecular mechanism responsible for the high rate of suicidal behavior in SCZ remains poorly understood. MTHFR Ala222Val (C677T; rs 1801133) polymorphism has repeatedly demonstrated to play a pathological role in numerous mental disorders, but none of these studies focused on the susceptibility of suicidal behavior in SCZ. In the present cross-sectional study, we recruited 957 chronic inpatients with SCZ and 576 healthy controls to assess the psychopathological symptoms of SCZ and compare the frequency of the MTHFR Ala222Val genotype in both suicide attempters and non-attempters. Our results demonstrated no significant differences in MTHFR Ala222Val genotype and allele distributions between the SCZ patients and controls (p > 0.05), but showed a statistical significance in the distribution of Ala/Val genotype between suicide attempters and non-attempters (p MTHFR Ala222Val genotype, psychopathological symptoms, number of cigarettes smoked per day and drinking status were related to suicide attempts in SCZ (p MTHFR Ala222Val polymorphism and some clinical characteristics might confer susceptibility to suicide in patients with SCZ.

Background Suicide has become one of the most prominent concerns for public health and wellness; however, detecting suicide risk factors among individuals remains a big challenge. The aim of this study was to develop a machine learning algorithm that could effectively and accurately identify the probability of suicide attempts in medical college students. Methods A total of 4,882 medical students were enrolled in this cross-sectional study. Self-report data on socio-demographic and clinical characteristics were collected online via website or through the widely used social media app, WeChat. 5-fold cross validation was used to build a random forest model with 37 suicide attempt predictors. Model performance was measured for sensitivity, specificity, area under the curve (AUC), and accuracy. All analyses were conducted in MATLAB. Results The random forest model achieved good performance [area under the curve (AUC) = 0.9255] in predicting suicide attempts with an accuracy of 90.1% (SD = 0.67%), sensitivity of 73.51% (SD = 2.33%) and specificity of 91.68% (SD = 0.82%). Limitation The participants are primarily females and medical students. Conclusions This study demonstrates that the random forest model has the potential to predict suicide attempts among medical college students with high accuracy. Our findings suggest that application of the machine learning model may assist in improving the efficiency of suicide prevention.

Image of electroconvulsive therapy (ECT) in TV shows and movies have been studied before. However, there is no study about image of ECT on YouTube as one of the most commonly used social media platforms for disseminating health information. Our study aims to study the image of ECT in YouTube videos.Key word "Electroconvulsive therapy and ECT" were used to search on Youtube.com and only videos over 50,000 view counts and in English were selected. Above videos were reviewed by an ECT physician and were classified into neutral, negative, and positive groups based on the image of ECT.There were 41 YouTube videos selected based on the criteria as stated above, among which 14 were unrelated with ECT treatment, 8 were neutral, 9 were positive, and 10 were reflecting negative image about ECT. There was no significant difference among view counts of the positive, negative and neutral videos (χ = 2.746, P = 0.253). Furthermore, the most viewed 3 videos showed negative image of ECT. Additionally, only 6 videos showed the modified ECT and one showed both modified and nonmodified ECT.This is the first study conducted on image of ECT in YouTube videos. We found the stigma against ECT may persist in digital video platforms, such as YouTube.Image of electroconvulsive therapy (ECT) in TV shows and movies have been studied before. However, there is no study about image of ECT on YouTube as one of the most commonly used social media platforms for disseminating health information. Our study aims to study the image of ECT in YouTube videos.Key word “Electroconvulsive therapy and ECT” were used to search on Youtube.com and only videos over 50,000 view counts and in English were selected. Above videos were reviewed by an ECT physician and were classified into neutral, negative, and positive groups based on the image of ECT.There were 41 YouTube videos selected based on the criteria as stated above, among which 14 were unrelated with ECT treatment, 8 were neutral, 9 were positive, and 10 were reflecting negative image about ECT. There was no significant difference among view counts of the positive, negative and neutral videos (χ2 = 2.746, P = 0.253). Furthermore, the most viewed 3 videos showed negative image of ECT. Additionally, only 6 videos showed the modified ECT and one showed both modified and nonmodified ECT.This is the first study conducted on image of ECT in YouTube videos. We found the stigma against ECT may persist in digital video platforms, such as YouTube.

Cognitive impairment is a central aspect of schizophrenia (SCZ) that occurs at the onset of the disease and is related to poor social function and outcome in patients with SCZ. Recent literatures have revealed repetitive transcranial magnetic stimulation (rTMS) to be one of the efficient medical interventions for cognitive impairments. However, no study has been conducted to investigate the treatment effectiveness of 20 Hz rTMS with neuronavigation system administered to the left dorsolateral prefrontal cortex (DLPFC) in patients with schizophrenia. In this randomized, double-blind and sham-controlled study, 56 patients were enrolled in 20 Hz rTMS (n = 28) or sham stimulation (n = 28) over left DLPFC for 8 weeks. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was performed to measure the cognitive function at baseline and after 8 weeks of rTMS treatment. The positive and negative syndrome scales (PANSS) was performed to assess the clinical symptoms at baseline, after 2-week treatment, 4-week treatment, 6-week treatment, and 8-week treatment. Totally, 15 subjects (seven in active group and eight in sham group) dropped out during the trial and the main findings were from completed 41 patients. At 2 weeks, 4 weeks, and 6 weeks, there were no significant differences in PANSS total score and subscores between the sham and treatment groups. At 8 weeks, the 20 Hz rTMS significantly increased the immediate memory score compared with the sham. Furthermore, the improvement in the immediate memory score was correlated with the decrease in the excitement factor score of the patients with SCZ. Our results suggest that 20 Hz rTMS appears to be an effective treatment for improving the cognitive performance and reducing the clinical symptoms of patients with SCZ.

Background Anxiety is a common comorbidity in major depressive disorder (MDD) that has been studied extensively in the past. However, few studies have explored anxiety in drug naive (FEDN) patients with MDD and those presenting with a first episode. The objective of this current study was to examine the prevalence and risk factors of anxiety in FEDN patients with MDD in order to understand the relationship between MDD and anxiety in the acute early phase and provide important implications for therapeutic interventions. Methods A total of 1718 FEDN patients with MDD were recruited in this cross-sectional study. Their anthropometric and clinical data, including suicide attempt and psychotic symptom, were collected. The Hamilton depression scale (HAMD) and Hamilton anxiety scale (HAMA) were used to evaluate depression and anxiety for all the patients in this study. Results Overall, we found that the prevalence of anxiety in FEDN MDD patients was 80.3%. Correlation analysis showed that anxiety was associated with suicide attempt and psychotic symptom in FEDN patients with MDD. The rate of suicide attempt and psychosis in above patients with anxiety was 24.3% and 12.3%, respectively. Furthermore, stepwise regression analysis showed that suicide attempt and psychotic symptom were significant predictors for anxiety in FEDN patients with MDD. Conclusions Our study showed that the prevalence of comorbid anxiety in FEDN patients with MDD is very high. We also found that two clinical variables, suicide attempt and psychosis, are risk factors for comorbid anxiety in FEDN patients with MDD.

Epidermal growth factor (EGF) and Fibroblast Growth Factor-2 (FGF-2) are growth factors involved neuronal growth and synaptic plasticity. These markers have been implicated in neuropsychiatric disorders, including major depression. However, no particular studies of EGF and FGF-2 have been conducted in older adults with major depressive disorder (MDD). In this study, we aim to investigate the plasma levels of EGF and FGF-2 in elderly with MDD. We included 89 older adults with MDD and 51 older (healthy control, HC) adults. The cognitive performance was evaluated by the Mattis Dementia Rating Scale (MDRS). The EGF and FGF-2 were measured by using multiplex assay for LUMINEX platform. There were also no significant differences between the patient group in terms of plasma levels of EGF and FGF-2 when compared to the HC group. There were not any significant correlations between plasma levels of EGF or FGF2 and MDRS total or individual scores in patient group and HC. There were significant correlations between plasma levels of EGF and FGF2 in both patient group and HC. Further study on plasma levels of EGF and FGF2 should be implemented in larger samples in elderly with MDD.

Schizophrenia displays sex differences in many aspects. Decreased brain-derived neurotrophic factor (BDNF) levels have been reported to be associated with high body weight or obesity as well as other psychopathological aspects in schizophrenia patients. This study aimed to explore sex differences in the relationship between serum BDNF levels and obesity in patients with chronic schizophrenia. We recruited 132 Chinese patients with chronic schizophrenia (98 males and 34 females) and compared sex differences in the body mass index (BMI), obesity, serum BDNF levels, and their associations. Psychopathology symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS). A regression model with various demographic and clinical variables was applied to predict the serum levels of BDNF. Female patients had a higher rate of obesity and higher BMI, but lower BDNF levels than male schizophrenia patients. A significantly negative correlation was observed between BMI and BDNF levels only in female patients but not in male patients. The multiple regression model with demographic and clinical variables significantly predicted BDNF levels only in female patients, with a medium size effect. And only in female patients, BMI made a significant contribution to this prediction. Our results indicate significant sex differences in the obesity, BMI, BDNF levels, and their association in chronic patients with schizophrenia, showing a significant inverse correlation between BMI and BDNF levels only in female patients. Thus, sex needs to be considered when assessing the relationship between BDNF and metabolic syndromes in schizophrenia.

Brain-derived neurotrophic factor (BDNF) interacts with cytokines. Although both BDNF and cytokines occur at abnormal levels in schizophrenia patients, their interactions have not yet been examined. We therefore compared serum BDNF, TNF-α, interleukin (IL)-2, IL-6, and IL-8 levels in 92 chronically medicated schizophrenia patients and 60 healthy controls. We correlated these serum levels within these subject groups with each other and with clinical symptoms assessed according to the Positive and Negative Syndrome Scale (PANSS). Compared to the control group, the schizophrenia patients had significantly lower BDNF and TNF-α levels, and higher IL-2, IL-6, and IL-8 levels. The patients also showed a significant positive correlation between BDNF and both IL-2 and IL-8 levels, and low BDNF and TNF-α levels together were associated with poor performance on the PANSS cognitive factor. Thus, an interaction between cytokines and neurotrophic factors may be implicated in the pathophysiology of chronic schizophrenia. In particular, the cytokine TNF-α may interact with BNDF causing cognitive impairment.

Despite the high prevalence of cocaine use disorder (CUD) in individuals with schizophrenia, current understanding of the effect of cocaine on psychiatric hospital length of stay (LOS) in individuals with schizophrenia is limited. We therefore retrospectively examined the medical records of 5106 hospital admissions due to exacerbation of schizophrenia. Linear regression and t-test were used to compare LOS between individuals with schizophrenia with cocaine-positive urine drug test results and those with negative test results. Individuals with schizophrenia who were also positive for cocaine had shorter LOS from both unadjusted (geometric mean LOS, 8.07 ± 1.92 vs. 11.83 ± 1.83 days; p < 0.001) and adjusted (β = 0.69; confidence interval, 0.63-0.76; p < 0.001) analyses. Our results suggest that individuals with schizophrenia who also have comorbid CUD may require shorter inpatient treatment during periods of exacerbation of symptoms. Replication of this finding has relevance in treatment planning and resource allocation for the subpopulation of individuals with schizophrenia who also have stimulant use disorders.

Antipsychotic medication-induced dysphoria is a relatively under-recognized and understudied effect of antipsychotic medication. Although the term is encountered in clinical practice and in the literature, there is no consensus regarding its exact meaning. This article is a narrative review of the literature on antipsychotic medication and dysphoria based on a pubmed database search. We found that antipsychotic medication-induced dysphoria is a term used to describe a negative and unpleasant affective state which seems to be more often associated with high potency first-generation antipsychotics and could potentially lead to medication non-adherence. Though it is plausible to expect antipsychotic medication-induced dysphoria to be related to extrapyramidal symptoms, most especially akathisia, the nature of the association remains unspecified. Furthermore, there is some evidence that dopamine blockade maybe involved in the pathogenesis of antipsychotic medication-induced dysphoria. However, the limited methods of the currently available studies make it impossible to conclusively address the question of which class of antipsychotic (first- or second-generation) has a higher prevalence and severity of the syndrome.