Clock knockout in inhibitory neurons reduces predisposition to epilepsy and influences anxiety-like behaviors in mice.

Epilepsy is a brain disorder affecting up to 1 in 26 individuals. Despite its clinical importance, the molecular mechanisms of epileptogenesis are still far from clarified. Our previous study showed that disruption of Clock in excitatory neurons alters cortical circuits and leads to generation of focal epilepsy. In this study, a GAD-Cre;Clockflox/flox mouse line with conditional Clock gene knockout in inhibitory neurons was established. We observed that seizure latency was prolonged, the severity and mortality of pilocarpine-induced seizure were significantly reduced, and memory was improved in GAD-Cre;Clockflox/flox mice. We hypothesize that mice with CLOCK knockout in inhibitory neurons have increased threshold for seizure, opposite from mice with CLOCK knockout in excitatory neurons. Further investigation showed Clock knockout in inhibitory neurons upregulated the basal protein level of ARC, a synaptic plasticity-associated immediate-early gene product, likely through the BDNF-ERK pathway. Altered basal levels of ARC may play an important role in epileptogenesis after Clock deletion in inhibitory neurons. Although sEPSCs and intrinsic properties of layer 5 pyramidal neurons in the somatosensory cortex exhibit no changes, the spine density increased in apical dendrite of pyramidal neurons in CLOCK knockout group. Our results suggest an underlying mechanism by which the circadian protein CLOCK in inhibitory neurons participates in neuronal activity and regulates the predisposition to epilepsy.

Interictal interleukin-6 and tumor necrosis factor α levels are associated with seizure recurrence in adults with epilepsy.

BACKGROUND: Although there are models predicting epilepsy recurrence under different clinical conditions, few studies have examined blood biomarkers. Inflammation plays a crucial role in the occurrence and development of epilepsy. We analyzed inflammatory mediators in a regional hospital-based epilepsy cohort and investigated their relationship with subsequent epilepsy recurrence. METHODS: Interictal inflammatory mediators were measured in 128 patients diagnosed with epilepsy participating in a prospective study. Inflammatory mediators were compared during the follow-up period between patients who experienced epilepsy recurrence and those who did not. We also assessed the correlation between inflammatory mediators and the time interval until the next recurrence. RESULTS: Over a median 4-month follow-up period, 41 patients experienced seizure recurrence. Differences in interleukin-6 (IL-6) and tumor necrosis factor α (TNF-α) levels were observed between seizure recurrence and non-recurrence groups. After adjusting for covariates through multivariate Cox regression analysis, the patients in the third IL-6 tertile (>2.31 pg/mL; HR: 2.49; 95 % CI: 1.00-6.16; P = 0.049) and in the third TNF-α tertile (>0.74 pg/mL; HR: 2.80; 95 % CI: 1.13-6.92; P = 0.026) had higher risk of seizure recurrence. The time until the next recurrence was negatively correlated with IL-6 level (ρ =  - 0.392, P = 0.011). CONCLUSION: High levels of IL-6 and TNF-α are associated with a higher possibility of seizure recurrence. Future predictive models should also include inflammatory mediators in addition to clinical variables.

Development and validation of radiology-clinical statistical and machine learning model for stroke-associated pneumonia after first intracerebral haemorrhage.

BACKGROUND: Society is burdened with stroke-associated pneumonia (SAP) after intracerebral haemorrhage (ICH). Cerebral small vessel disease (CSVD) complicates clinical manifestations of stroke. In this study, we redefined the CSVD burden score and incorporated it into a novel radiological-clinical prediction model for SAP. MATERIALS AND METHODS: A total of 1278 patients admitted to a tertiary hospital between 1 January 2010 and 31 December 2019 were included. The participants were divided into training and testing groups using fivefold cross-validation method. Four models, two traditional statistical models (logistic regression and ISAN) and two machine learning models (random forest and support vector machine), were established and evaluated. The outcomes and baseline characteristics were compared between the SAP and non-SAP groups. RESULTS: Among the of 1278 patients, 281(22.0%) developed SAP after their first ICH. Multivariate analysis revealed that the logistic regression (LR) model was superior in predicting SAP in both the training and testing groups. Independent predictors of SAP after ICH included total CSVD burden score (OR, 1.29; 95% CI, 1.03-1.54), haematoma extension into ventricle (OR, 2.28; 95% CI, 1.87-3.31), haematoma with multilobar involvement (OR, 2.14; 95% CI, 1.44-3.18), transpharyngeal intubation operation (OR, 3.89; 95% CI, 2.7-5.62), admission NIHSS score ≥ 10 (OR, 2.06; 95% CI, 1.42-3.01), male sex (OR, 1.69; 95% CI, 1.16-2.52), and age ≥ 67 (OR, 2.24; 95% CI, 1.56-3.22). The patients in the SAP group had worse outcomes than those in the non-SAP group. CONCLUSION: This study established a clinically combined imaging model for predicting stroke-associated pneumonia and demonstrated superior performance compared with the existing ISAN model. Given the poor outcomes observed in patients with SAP, the use of individualised predictive nomograms is vital in clinical practice.

Development and validation of a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral haemorrhage.

OBJECTIVES: Post-stroke epilepsy (PSE) is associated with increased morbidity and mortality. This study aimed to develop and validate a novel prediction model combining clinical factors and radiomics features to accurately identify patients at high risk of developing PSE after intracerebral haemorrhage (ICH). METHODS: Researchers performed a retrospective medical chart review to extract derivation and validation cohorts of patients with first-ever ICH that attended two tertiary hospitals in China between 2010 and 2020. Clinical data were extracted from electronic medical records and supplemented by tele-interview. Predictive clinical variables were selected by multivariable logistic regression to build the clinical model. Predictive radiomics features were identified, and a Rad-score was calculated according to the coefficient of the selected feature. Both clinical variables and radiomic features were combined to build the radiomics-clinical model. Performances of the clinical, Rad-score, and combined models were compared. RESULTS: A total of 1571 patients were included in the analysis. Cortical involvement, early seizures within 7 days of ICH, NIHSS score, and ICH volume were included in the clinical model. Rad-score, instead of ICH volume, was included in the combined model. The combined model exhibited better discrimination ability and achieved an overall better benefit against threshold probability than the clinical model in the decision curve analysis (DCA). CONCLUSIONS: The combined radiomics-clinical model was better able to predict ICH-associated PSE compared to the clinical model. This can help clinicians better predict an individual patient's risk of PSE following a first-ever ICH and facilitate earlier PSE diagnosis and treatment. KEY POINTS: • Radiomics has not been used in predicting the risk of developing PSE. • Higher Rad-scores were associated with higher risk of developing PSE. • The combined model showed better performance of PSE prediction ability.

Changes in seizure frequency and anti-seizure medication therapy during pregnancy and one year postpregnancy.

Seizure control in women with epilepsy (WWE) during pregnancy is a vital concern. The aim of this study was to compare changes in seizure frequency and anti-seizure medication (ASM ) therapy in WWE in a real-world setting over three epochs (prepregnancy, pregnancy, and postpregnancy). We screened WWE who were pregnant between 1 January 2010 and 31 December 2020 from the epilepsy follow-up registry database of a tertiary hospital in China. We reviewed and collected follow-up data for the following time periods: 12 months before pregnancy (epoch 1), throughout pregnancy and the first 6 weeks postpartum (epoch 2), and from 6 weeks to 12 months postpartum (epoch 3). Seizures were classified into two categories: tonic‒clonic/focal to bilateral tonic‒clonic seizures and non-tonic‒clonic seizures. The main indicator was the seizure-free rate over the three epochs. Using epoch 1 as a reference, we also compared the percentage of women with an increased seizure frequency, as well as changes in ASM treatment, in epochs 2 and 3. Ultimately, 271 eligible pregnancies in 249 women were included. The seizure-free rates in epoch 1, epoch 2, and epoch 3 were 38.4%, 34.7%, and 43.9%, respectively (P = 0.09). The top three ASMs used in the three epochs were lamotrigine, levetiracetam, and oxcarbazepine. Using epoch 1 as a reference, the percentages of women with increased frequencies of tonic‒clonic/focal to bilateral tonic‒clonic seizures in epoch 2 and epoch 3 were 17.0% and 14.8%, respectively, while the percentages of women with an increased frequency of non-tonic‒clonic seizures in epoch 2 and epoch 3 were 31.0% and 21.8% (P = 0.02). The percentage of women whose ASM dosages were increased in epoch 2 was higher than that in epoch 3 (35.8% vs. 27.3%, P = 0.03). The seizure frequency during pregnancy may not differ significantly from that during prepregnancy and postpregnancy if WWE are treated according to the guidelines.

External validation of the AntiEpileptic Drug Monitoring in PREgnancy (EMPiRE) model for predicting seizures in pregnant women with epilepsy.

BACKGROUND: The AntiEpileptic Drug Monitoring in PREgnancy (EMPiRE) model is the only available tool for predicting seizures in pregnant women with epilepsy (WWE) using anti-seizure medications (ASMs); however, its predictive performance requires validation. This study aimed to evaluate the predictive ability of this model in pregnant Chinese WWE and its potential usefulness in clinical practice. METHODS: Data of the EMPiRE model were derived from the EMPiRE study, a prospective multicenter cohort study that recruited women on ASM monotherapy (lamotrigine, carbamazepine, phenytoin or levetiracetam) or polytherapy (lamotrigine with either carbamazepine, phenytoin or levetiracetam). Based on the applicable population of the EMPiRE model, we evaluated 280 patients registered in the Wenzhou Epilepsy Follow-up Registry Database from January 1, 2010, to December 31, 2020. A total of 158 eligible patients were included in the validation cohort. We collected data on the baseline characteristics of patients, eight predictors of the EMPiRE model and outcome events. The outcome was the occurrence of tonic-clonic or non-tonic-clonic seizures at any time in pregnancy up to 6 weeks postpartum. We used the equation of the EMPiRE model to obtain the predicted probabilities of seizures. The predictive ability of the EMPiRE model was quantified by the C-statistic (scale 0-1, values > 0.5 show discrimination), GiViTI calibration test and decision curve analysis (DCA). RESULTS: Of 158 eligible patients, 96 patients (60.8%, 96/158) experienced one or more seizures at any time between pregnancy and 6 weeks postpartum. The EMPiRE model showed good discrimination with a C-statistic of 0.76 (95% confidence interval [CI] 0.70-0.84). The GiViTI calibration belt showed that the predicted probabilities, which ranged from 16 to 96% (95% CI), were lower than the actual probabilities. DCA indicated that the highest net proportional benefit was obtained for predicted probability thresholds of 15-18% and 54-96%. CONCLUSIONS: The EMPiRE model could discriminate well between WWE with and without seizures during pregnancy and 6 weeks postpartum, but the risk of seizures may be underestimated. The limitations of the model for specific medication regimens may limit its real-world application. If the model is further improved, it will be incredibly valuable.

Development and validation of a nomogram model for prediction of stroke-associated pneumonia associated with intracerebral hemorrhage.

BACKGROUND: We aimed to establish risk factors for stroke-associated pneumonia (SAP) following intracerebral hemorrhage (ICH) and develop an efficient and convenient model to predict SAP in patients with ICH. METHODS: Our study involved 1333 patients consecutively diagnosed with ICH and admitted to the Neurology Department of the First Affiliated Hospital of Wenzhou Medical University. The 1333 patients were randomly divided (3:1) into the derivation cohort (n = 1000) and validation Cohort (n = 333). Variables were screened from demographics, lifestyle-related factors, comorbidities, clinical symptoms, neuroimaging features, and laboratory tests. In the derivation cohort, we developed a prediction model with multivariable logistic regression analysis. In the validation cohort, we assessed the model performance and compared it to previously reported models. The area under the receiver operating characteristic curve (AUROC), GiViTI calibration belt, net reclassification index (NRI), integrated discrimination index (IDI) and decision curve analysis (DCA) were used to assess the prediction ability and the clinical decision-making ability. RESULTS: The incidence of SAP was 19.9% and 19.8% in the derivation (n = 1000) and validation (n = 333) cohorts, respectively. We developed a nomogram prediction model including age (Odds Ratio [OR] 1.037, 95% confidence interval [CI] 1.020-1.054), male sex (OR 1.824, 95% CI 1.206-2.757), multilobar involvement (OR 1.851, 95% CI 1.160-2.954), extension into ventricles (OR 2.164, 95% CI 1.456-3.215), dysphagia (OR 3.626, 95% CI 2.297-5.725), disturbance of consciousness (OR 2.113, 95% CI 1.327-3.362) and total muscle strength of the worse side (OR 0.93, 95% CI 0.876-0.987). Compared with previous models, our model was well calibrated and showed significantly higher AUROC, better reclassification ability (improved NRI and IDI) and a positive net benefit for predicted probability thresholds between 10% and 73% in DCA. CONCLUSIONS: We developed a simple, valid, and clinically useful model to predict SAP following ICH, with better predictive performance than previous models. It might be a promising tool to assess the individual risk of developing SAP for patients with ICH and optimize decision-making.

11ß-HSD1 participates in epileptogenesis and the associated cognitive impairment by inhibiting apoptosis in mice.

BACKGROUND: Glucocorticoid signalling is closely related to both epilepsy and associated cognitive impairment, possibly through mechanisms involving neuronal apoptosis. As a critical enzyme for glucocorticoid action, the role of 11ß-hydroxysteroid dehydrogenase 1 (11ß-HSD1) in epileptogenesis and associated cognitive impairment has not previously been studied. METHODS: We first investigated the expression of 11ß-HSD1 in the pentylenetetrazole (PTZ) kindling mouse model of epilepsy. We then observed the effect of overexpressing 11ß-HSD1 on the excitability of primary cultured neurons in vitro using whole-cell patch clamp recordings. Further, we assessed the effects of adeno-associated virus (AAV)-induced hippocampal 11ß-HSD1 knockdown in the PTZ model, conducting behavioural observations of seizures, assessment of spatial learning and memory using the Morris water maze, and biochemical and histopathological analyses. RESULTS: We found that 11ß-HSD1 was primarily expressed in neurons but not astrocytes, and its expression was significantly (p < 0.05) increased in the hippocampus of PTZ epilepsy mice compared to sham controls. Whole-cell patch clamp recordings showed that overexpression of 11ß-HSD1 significantly decreased the threshold voltage while increasing the frequency of action potential firing in cultured hippocampal neurons. Hippocampal knockdown of 11ß-HSD1 significantly reduced the severity score of PTZ seizures and increased the latent period required to reach the fully kindled state compared to control knockdown. Knockdown of 11ß-HSD1 also significantly mitigated the impairment of spatial learning and memory, attenuated hippocampal neuronal damage and increased the ratio of Bcl-2/Bax, while decreasing the expression of cleaved caspase-3. CONCLUSIONS: 11ß-HSD1 participates in the pathogenesis of both epilepsy and the associated cognitive impairment by elevating neuronal excitability and contributing to apoptosis and subsequent hippocampal neuronal damage. Inhibition of 11ß-HSD1, therefore, represents a promising strategy to treat epilepsy and cognitive comorbidity.

2-(2-Benzofuranyl)-2-Imidazoline Attenuates the Disruption of the Blood-Brain Barrier in EAE via NMDAR.

Blood-brain barrier (BBB) disruption has been recognized as an early hallmark of multiple sclerosis (MS) pathology. Our previous studies have shown that 2-(2-Benzofuranyl)-2-imidazoline (2-BFI) protected against experimental autoimmune encephalomyelitis (EAE), a classic animal model of MS. However, the potential effects of 2-BFI on BBB permeability have not yet been evaluated in the context of EAE. Herein, we aimed to investigate the effect of 2-BFI on BBB permeability in both an animal model and an in vitro BBB model using TNF-α to imitate the inflammatory damage to the BBB in MS. In the animal model, 2-BFI reduced neurological deficits and BBB permeability in EAE mice compared with saline treatment. The Western blot results indicated that 2-BFI not only alleviated the loss of the tight junction protein occludin caused by EAE but also inhibited the activation of the NR1-ERK signaling pathway. In an in vitro BBB model, 2-BFI (100 µM) alleviated the TNF-α-induced increase in permeability and reduction in expression of occludin in monolayer bEnd.3 cells. Similar protective effects were also observed after treatment with the NMDAR antagonist MK801. The Western blot results showed that the TNF-α-induced BBB breakdown and increase in NMDAR subunit 1 (NR1) levels and ERK phosphorylation could be blocked by pretreatment with 2-BFI or MK801. However, no additional effect was observed on BBB permeability or the expression of occludin and p-ERK after pretreatment with both 2-BFI and MK801. Our study indicates that 2-BFI alleviates the disruption of BBB in the context of inflammatory injury similar to that of MS by targeting NMDAR1, as well as by likely activating the subsequent ERK signaling pathway. These results provide further evidence for 2-BFI as a potential drug for the treatment of MS.

External validation and comparison of two prediction models for seizure recurrence after the withdrawal of antiepileptic drugs in adult patients.

OBJECTIVE: The models currently available for predicting the risk of seizure recurrence after antiepileptic drug (AED) withdrawal in adult epilepsy patients include the prediction model developed by Lamberink et al (Lamberink model, 2017) and the Medical Research Council prediction model (MRC model, 1993). However, there was no external validation for the two models. The purpose of this study was to perform an independent external validation and a comparison of the Lamberink model and the MRC model in adult patients. METHODS: The study population was recruited from the Wenzhou Epilepsy Follow-up Registry Database (WEFURD). All the predictors of the Lamberink and MRC models and the occurrence of seizure recurrence in the participants were collected based on the WEFURD. Participants' predicted probabilities of seizure recurrence were obtained by a Web-based tool and the prognostic index formula. The external validation of the Lamberink model and the MRC model were quantified by discrimination, calibration, and decision curve analysis (DCA). RESULTS: Of 212 patients, 126 (59.4%) had seizure recurrence after AED withdrawal. The Lamberink 2-year model, the Lamberink 5-year model, the MRC 1-year model, and the MRC 2-year model had areas under the curve of 0.71 (95% confidence interval [CI] = 0.64-0.78), 0.68 (95% CI = 0.60-0.76), 0.60 (95% CI = 0.50-0.69), and 0.58 (95% CI = 0.50-0.66), respectively. Additionally, the Lamberink 2-year model had a significantly better integrated discrimination improvement than the MRC 2-year model (P < .001). Regarding calibration, the Lamberink 2-year model (P = .121) and the MRC 1-year model (P = .264) were well calibrated, but the Lamberink 5-year model (P = .022) and the MRC 2-year model (P = .008) were not. In the DCA, the Lamberink 2-year model performed well at threshold probabilities of 30%-65%. SIGNIFICANCE: This external validation shows that the Lamberink 2-year model might be more accurate and has greater clinical benefit than others for guiding drug withdrawal in adult epilepsy clinics.

Comparison of the performance of two depression rating scales in patients with epilepsy in southern China.

OBJECTIVE: The aim of this study was to evaluate and compare the performance of the Chinese version of the Neurological Disorder Depression Inventory for Epilepsy (CNDDI-E) with that of the depression subscale of the Hospital Anxiety and Depression Scale (C-HADS-D) as screening tools for depression in the same patients with epilepsy (PWE). METHODS: A total of 213 consecutive PWE were evaluated. Receiver operating characteristic (ROC) analysis was performed using the C-NDDI-E and C-HADS-D as predictors and the Chinese version of the Mini International Neuropsychiatric Interview (C-MINI) as the gold standard. RESULTS: The area under the curve (AUC) for the C-NDDI-E was 0.870, and the optimal cutoff score was >11 (sensitivity 85.71%, specificity 79.78%); for the C-HADS-D, the AUC was 0.804, and the optimal cutoff score was >5 (sensitivity 85.71%, specificity 62.36%). The AUC for the C-NDDI-E was larger than the AUC for the C-HADS-D, but the comparison of the AUCs revealed no significant differences (P = 0.1444). CONCLUSION: Our findings indicate that the C-NDDI-E and C-HADS-D have high validity and support the use of these screening tools for depression in PWE. Moreover, the C-NDDI-E is a better screening scale for diagnosing depression than the C-HADS-D according to the results of this study.

Comparison of the performance of suicide ideation scales in adult patients with epilepsy in China.

OBJECTIVE: The aims of this study were to evaluate and compare the performance of the Chinese version of the Suicide Ideation Scale-Current (SSI-C) and the Suicide Ideation Scale-Worst (SSI-W) as suicide ideation screening tools in patients with epilepsy (PWE). METHODS: A consecutive sample of Chinese adult PWE recruited from a tertiary hospital completed the SSI-C and SSI-W and the suicidality module of the Chinese version of the Mini International Neuropsychiatric Interview (MINI) Plus 5.0.0. RESULTS: A total of 260 consecutive PWE were recruited. The area under the curve (AUC) for the SSI-C was 0.831, and the optimal cutoff score was >1 (sensitivity 73%, specificity 91%); for the SSI-W, the AUC was 0.958, and the optimal cutoff score was >2 (sensitivity 94.6%, specificity 87.4%). The AUC for the SSI-W was larger than that for the SSI-C, and the two-factor structure was considered significant. CONCLUSION: Our results showed that the SSI-C and SSI-W had good validity as suicidal ideation screening tools in PWE in southern China and can be recommended for clinical suicidal ideation screening. The SSI-W is a better suicidal ideation screening tool than the SSI-C according to the results of our study.

Risk factors for suicidal tendency in adult patients with epilepsy in China.

OBJECTIVE: The major cause of premature mortality in people with epilepsy (PWE) is suicide. Actual data on the risk of suicidal tendency in adult PWE in China are scarce. In our study, associations between possible risk factors and suicidal tendency in adult PWE in China were investigated. METHODS: People with epilepsy (n = 251) were recruited, and their demographic and clinical characteristics were evaluated. Suicide risk was examined using the suicidality module (SM) of the Mini International Neuropsychiatric Interview (MINI) Plus Chinese Version 5.0.0. RESULTS: Suicidal tendency was present in 36 (14.3%) of the 251 PWE. On the basis of the results of univariate analyses, family relationship (P < 0.001), age at epilepsy onset (P = 0.037), seizure-free period (P = 0.041), seizures/month (P = 0.015), depressive disorders (P < 0.001), and number of antiepileptic drugs (AEDs) (P = 0.017) were associated with suicidal tendency. Multivariate analysis revealed that moderate or poor family relationships (odds ratio (OR): 6.468, 95% confidence interval (CI): 2.418-17.300) and depressive disorders (OR: 3.548, 95% CI: 1.575-7.995) were associated with high odds of suicidal tendency. CONCLUSION: Suicidal tendency is common among adult PWE. This study reveals that family relationships and depressive disorders are independent risk factors for suicidal tendency among adult PWE. Therefore, while maintaining treatment of epilepsy, more attention should be directed to the social support and mental state of PWE to prevent suicide.

Validation of the Chinese version of the Scale for Suicide Ideation-Worst in adult patients with epilepsy.

OBJECTIVE: The aim of this study was to validate the Chinese version of the Scale for Suicide Ideation-Worst (SSI-W) for screening suicide ideation in Chinese adult patients with epilepsy (PWE). METHOD: A consecutive sample of Chinese adult PWE from a tertiary hospital completed the SSI-W and the suicidality module of the Chinese version of the Mini International Neuropsychiatric Interview (MINI) Plus 5.0.0. RESULTS: A total of 269 PWE completed the scales. According to the MINI, 59 patients (21.9%) had suicidal ideation. The Cronbach's α coefficient for the SSI-W was 0.96. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) for the SSI-W was 0.957 (95% confidence interval [CI] = 0.935-0.980). With a cutoff score of 2 points, the SSI-W demonstrated the best psychometric properties: a sensitivity of 95.8%, a specificity of 87.3%, a positive predictive value (PPV) of 56.7%, and a negative predictive value (NPV) of 99.0%. The scores for items 11 (Reason for attempt) and 18 (Final acts) were not significantly different (p > 0.05) in patients with suicidal ideation, while the scores for the other items were significantly different between these groups of patients. CONCLUSION: The Chinese version of the SSI-W proved to be a reliable and effective assessment tool for screening suicidal ideation in Chinese adult PWE.

Reliability and validity of the Chinese version of the Patient Health Questionnaire 9 (C-PHQ-9) in patients with epilepsy.

OBJECTIVE: The aim of this study was to evaluate the clinical reliability and validity of the Chinese version of the Patient Health Questionnaire 9 (C-PHQ-9) in patients with epilepsy. METHODS: A total of 213 consecutive adult patients with epilepsy were evaluated. Receiver operating characteristic (ROC) analysis was performed using C-PHQ-9 and Chinese version of Patient Health Questionnaire 2 (C-PHQ-2) as predictors and the Mini International Neuropsychiatric Interview Plus Version 5.0.0 as the gold standard. RESULTS: The C-PHQ-9 was easily understood and quickly finished by the patients. According to the gold standard, the prevalence of current major depressive disorder in this population was 16.4%. Cronbach's α coefficient for the C-PHQ-9 was 0.860. The ROC analysis showed an area under the curve (AUC) of 0.888 (95% confidence interval [CI] = 0.838-0.927). At a cutoff score of >6, the C-PHQ-9 had a sensitivity of 82.86%, a specificity of 84.27%, a positive predictive value of 50.9%, and a negative predictive value of 96.2%. The C-PHQ-2 at a cutoff score of >1 resulted in the greatest balance of sensitivity and specificity (77.14% and 75.28%, respectively). CONCLUSION: Our findings support a high reliability and validity for the C-PHQ-9 as a screening tool for the detection of current major depression in Chinese patients with epilepsy.

Validation of the Chinese version of the Hamilton Rating Scale for Depression in adults with epilepsy.

OBJECTIVE: This study aimed to validate the Chinese version of the 17-item Hamilton Rating Scale for Depression (C-HRSD-17) for use in adult patients with epilepsy (PWE). METHODS: A consecutive sample of Chinese adult PWE from a tertiary hospital was examined using the C-HRSD-17 and the Mini International Neuropsychiatric Interview (MINI) Plus Chinese Version 5.0.0. RESULTS: A total of 191 PWE completed the assessment of depression. According to the MINI, thirty patients (15.7%) had current major depressive disorder (MDD). The Cronbach's α coefficient for the C-HRSD-17 was 0.832. Receiver operating characteristic (ROC) analysis showed an area under the curve (AUC) of 0.983 (95% CI = 0.968-0.998). With a cutoff score of 9, the C-HRSD-17 demonstrated the best psychometric properties, with a sensitivity of 96.7%, a specificity of 93.8%, a positive predictive value (PPV) of 74.4%, and a negative predictive value (NPV) of 99.3%. CONCLUSION: The C-HRSD-17 proved to be a valid and reliable assessment tool, with a cutoff score of 9 for screening of current MDD in Chinese adult PWE.

Neuroprotective properties of curcumin in toxin-base animal models of Parkinson's disease: a systematic experiment literatures review.

BACKGROUND: Curcumin (diferuloylmethane), a polyphenol extracted from the plant Curcuma longa, is widely used in Southeast Asia, China and India in food preparation and for medicinal purposes. Meanwhile, the neuroprotective actions of curcumin have been documented for experimental therapy in Parkinson's disease (PD). METHODS: In this study, we used a systematic review to comprehensively assess the efficacy of curcumin in experimental PD. Using electronic and manual search for the literatures, we identified studies describing the efficacy of curcumin in animal models of PD. RESULTS: We identified 13 studies with a total of 298 animals describing the efficacy of curcumin in animal models of PD. The methodological quality of all preclinical trials is ranged from 2 to 5. The majority of the experiment studies demonstrated that curcumin was more significantly neuroprotection effective than control groups for treating PD. Among them, five studies indicated that curcumin had an anti-inflammatory effect in the PD animal models (p < 0.05). Meanwhile, four studies showed the antioxidant capability of curcumin, by which it protected substantia nigra neurons and improved striatal dopamine levels. Furthermore, two studies in this review displayed that curcumin treatment was also effective in reducing neuronal apoptosis and improving functional outcome in animal models of PD. Most of the preclinical studies demonstrated the positive findings while one study reported that curcumin had no beneficial effects against Mn-induced disruption of hippocampal metal and neurotransmitter homeostasis. CONCLUSIONS: The results demonstrated a marked efficacy of curcumin in experimental model of PD, suggesting curcumin probably a candidate neuroprotective drug for human PD patients.

Brain protection conferred by long-term administration of 2-(2-benzofuranyl)-2-imidazoline against experimental autoimmune encephalomyelitis.

Our previous studies showed that 2-(2-benzofuranyl)-2-imidazoline (2-BFI), a ligand to type 2 imidazoline receptor, was protective against brain and spinal cord injury caused by experimental autoimmune encephalomyelitis (EAE). In the present study, we investigated the effect of long-term administration of 2-BFI and the dose-dependent response relationship of long-term administration of 2-BFI with neuroprotection. Treatment with 2-BFI at doses of 5, 10, and 20 mg/kg for 14 days significantly reduced hind limb paralysis and the severity of EAE compared with the EAE control group. Long-term use of 2-BFI was not only safe to mice, but also dose-dependently reduced the expression of inflammatory cytokines, including TNF-α, Interferon-γ and Interleukin-17A, compared with the EAE control group. Expressions of neuronal injury markers, including cytochrome c, AIF and ß-APP, were also reduced significantly in response to long-term 2-BFI treatment. Together, these results provided new evidence to demonstrate that 2-BFI is a safe and effective candidate for further development as a therapeutic drug for treatment of multiple sclerosis.

[Progress in the study of core-crosslinked polymeric micelles in drug delivery system].

The core-crosslinked polymeric micelles were used as a new drug delivery system, which can decrease the premature drug release in blood circulation, improve the stability of the micelles, and effectively transport the drug into the therapy sites. Then the drug bioavailability increased further, while the side effect reduced. Most drugs were physically entrapped or chemically covalent with the polymer in the internals of micelles. Based on the various constitutions and properties of polymeric micelles as well as the special characteristics of body microenvironment, the environment-responsive or active targeting core-crosslinked micelles were designed and prepared. As a result, the drug controlled release behavior was obtained. In the present paper, the research progress of all kinds of core-crosslinked micelles which were published in recent years is introduced. Moreover, the characteristic and application prospect of these micelles in drug delivery system are analyzed and summarized.

Virulent Effector Hasp155 of Puccinia striiformis f. sp. tritici Suppresses Plant Immunity and Promotes Fungus Infection.

As a kind of obligate biotrophic fungus, Puccinia striiformis f. sp. tritici (Pst) secretes vast effectors via haustoria to host cells during the infection to inhibit host defense responses and promote fungal invasion. In this study, based on the completion of genome sequencing and haustorial transcriptome sequencing of Pst, we identified a Pst effector (Hasp155) that is significantly induced in the early stage of Pst infection to wheat. The 18 N-terminal amino acids of Hasp155 encoded a signal peptide with a secretory function. Transient expression of Hasp155 in Nicotiana benthamiana inhibited Bax-induced cell death as well as chitin-triggered callose deposition and defense-related gene expression. Moreover, delivery of the Hasp155 protein into wheat cells via type three secretion systems (TTSS) led to reduced plant immunity to nonpathogenic bacteria and to the avirulent Pst race with decreased H2O2 accumulation and promoted Pst development. Furthermore, transgenic overexpression of Hasp155 significantly renders wheat resistance susceptible, resulting in a decreased defense response and increased Pst pathogenicity. Overall, these results indicate that Hasp155 is an important effector of Pst pathogenicity by suppressing plant immunity.