Efficacy and safety of six new antiseizure medications for adjunctive treatment of focal epilepsy and epileptic syndrome: A systematic review and network meta-analysis.

OBJECTIVE: This study aimed to evaluate the efficacy and safety of six new antiseizure medications (ASMs) for adjunctive treatment in adult patients with focal epilepsy and adolescents with Dravet syndrome (DS), Lennox-Gastaut syndrome (LGS), or tuberous sclerosis complex (TSC). METHODS: A comprehensive literature search was performed using PubMed, Medline, Embase, and Cochrane library databases from inception to October 13, 2023. We included published studies for a systematic review and a network meta-analysis (NMA). The efficacy and safety were reported in terms of a 50% response rate and dropout rate along with serious adverse events (SAEs). The outcomes were ranked with the surface under the cumulative ranking curve (SUCRA). RESULTS: Twenty eligible trials with 5516 patients and 21 interventions, including placebo, contributed to the analysis. Included ASMs were brivaracetam (BRV), cenobamate (CBM), cannabidiol (CBD), fenfluramine (FFM), everolimus (ELM), and soticlestat (SLT). The six new ASMs were compared in four different epilepsy subtypes. In focal epilepsy treatment, BRV seemed to be safe [vs placebo, risk ratio (RR) = 0.69, 95 % confidence interval (CI): 0.25-1.91] and effective (vs placebo, RR = 2.18, 95 % CI: 1.25-3.81). In treating focal epilepsy, CBM 300 mg was more effective at a 50 % response rate (SUCRA 91.8 %) compared with BRV and CBD. However, with the increase in dosage, more SAEs (SUCRA 85.6 %) appeared compared with other ASMs. CBD had good efficacy on LGS (SUCRA 88.4) and DS (SUCRA 66.2), but the effect on adult focal epilepsy was not better than that of placebo [vs placebo, RR = 0.83 (0.36-1.93)]. The NMA indicated that the likelihood of the most appropriate intervention (SUCRA 91.2 %) with minimum side effects（SUCRA 12.5 %）for the DS was FFM. Compared with CBD, high exposure to ELM demonstrated a more effective treatment of TSC (SUCRA 89.7 %). More high-quality SLT studies are needed to further evaluate the efficacy and safety. The comparison-adjusted funnel plots of annualized relapse rate and side effects in the included studies revealed no significant funnel plot asymmetry. CONCLUSIONS: This NMA indicated that the most effective treatment strategy for focal epilepsy, DS, Lennox-Gastaut syndrome, and TSC, respectively, included CBM 300 mg, FFM, CBD, and ELM. However, the aforementioned findings need further confirmation.

3BDO Alleviates Seizures and Improves Cognitive Function by Regulating Autophagy in Pentylenetetrazol (PTZ)-Kindled Epileptic Mice Model.

3-benzyl-5-((2-nitrophenoxy) methyl)-dihydrofuran-2(3 H)-one (3BDO) is a mTOR agonist that inhibits autophagy. The main purpose of this study is to investigate the effects of 3BDO on seizure and cognitive function by autophagy regulation in pentylenetetrazol (PTZ)-kindled epileptic mice model. The PTZ-kindled epileptic mice model was used in study. The behavioral changes and electroencephalogram (EEG) of the mice in each group were observed. The cognitive functions were tested by Morris water maze test. The loss of hippocampal neurons was detected by hematoxylin-eosin (HE) staining and immunofluorescence analysis. Immunohistochemistry, western blot and q-PCR were employed to detect the expression of autophagy-related proteins and mTOR in the hippocampus and cortex. Less seizures, increased hippocampal neurons and reduced astrocytes of hippocampus were observed in the 3BDO-treated epileptic mice than in the PTZ-kindled epileptic mice. Morris water maze test results showed that 3BDO significantly improved the cognitive function of the PTZ-kindled epileptic mice. Western blot analyses and q-PCR revealed that 3BDO inhibited the expression of LC3, Beclin-1, Atg5, Atg7 and p-ULK1/ULK1, but increased that of p-mTOR/mTOR, p-P70S6K/P70S6K in the hippocampus and temporal lobe cortex of epileptic mice. Immunohistochemistry and immunofluorescence also showed 3BDO inhibited the LC3 expression and increased the mTOR expression in the hippocampus of epileptic mice. In addition, the autophagy activator EN6 reversed the decrease in the 3BDO-induced autophagy and aggravated the seizures and cognitive dysfunction in the epileptic mice. 3BDO regulates autophagy by activating the mTOR signaling pathway in PTZ-kindled epileptic mice model, thereby alleviating hippocampus neuronal loss and astrocytes proliferation, reducing seizures and effectively improving cognitive function. Therefore, 3BDO may have potential value in the treatment of epilepsy.

Efficacy and acceptability of the S1P receptor in the treatment of multiple sclerosis: a meta-analysis.

BACKGROUND AND OBJECTIVE: Sphingosine-1-phosphate (S1P) receptors are extensively used in the treatment of multiple sclerosis (MS). However, the optimal therapeutic role of S1P in MS patients has still remained elusive. This network meta-analysis (NMA) systematically evaluated the efficacy and acceptability of S1P receptors, as disease-modifying drugs, in the treatment of patients with MS, so as to find out the most appropriate therapeutic strategy and provide a reliable basis for the prescription of S1P drugs for patients with MS. METHODS: We conducted a systematic review and NMA to compare the efficacy and acceptability of S1P receptors for treating MS patients. Randomized controlled trials (RCTs), which were published until May 2020, were retrieved from the PubMed, Cochrane Library, Embase, and ClinicalTrials.gov databases. The primary outcome in this study was the treatment efficacy for the S1P receptor for MS patients, in terms of decrease in annualized relapse rate. The secondary outcomes were adverse events leading to discontinuation of a study, such as an unfavorable or unintended sign/symptom. Outcomes were appraised using a random effects model expressed as standardized mean differences (SMDs) and risk ratios (RRs) with 95% confidence intervals (CIs), respectively, and were ranked using surface under the cumulative ranking curve (SUCRA) probabilities for hierarchical clustering of interventions. RESULTS: A total of 13 RCTS were included, which enrolled 10,554 patients. The results of NMA showed that Fingolimod, Laquinimod, Siponimod, Ozanimod, Amiselimod, and Ponesimod were superior to placebo in terms of reducing the annualized relapse rate of MS patients. Regarding efficacy, the best and worst treatments were Amiselimod (0.4 mg; SUCRA 8.1%) and placebo (SUCRA 90.5%), respectively. As for acceptability, the best and worst interventions were Ozanimod (1 mg; SUCRA 20.4%) and Ponesimod (40 mg; SUCRA 96.0%), respectively. The comparison-adjusted funnel plots of annualized relapse rate and side effects in the included studies revealed that there was no significant funnel plot asymmetry CONCLUSIONS: This NMA indicated that Amiselimod (0.4 mg) is the most effective treatment strategy as a S1P receptor for MS patients. However, the abovementioned findings need to be further confirmed in the next researches.

A Nomogram to Predict the Risk of Acute Ischemic Stroke in Patients with Maintenance Hemodialysis: A Retrospective Cohort Study.

INTRODUCTION: Acute ischemic stroke (AIS) stands as a leading cause of death and disability globally. This study aimed to investigate the risk factors and relevance linked with AIS in patients undergoing maintenance hemodialysis (MHD) and to create and validate nomogram models. METHODS: We examined the medical records of 314 patients with stage 5 chronic kidney disease (CKD 5) undergoing MHD, who sought neurology outpatient department consultation for suspected AIS symptoms between January 2018 and December 2023. These 314 patients were randomly divided into the training cohort (n = 222) and validation cohort (n = 92). The least absolute shrinkage selection operator (LASSO) regression model was employed for optimal feature selection in the AIS risk model. Subsequently, multivariable logistic regression analysis was used to construct a predictive model incorporating the features selected through LASSO. This predictive model's performance was assessed using the C-index and the area under the receiver operating characteristic curve (AUC). Additionally, calibration and clinical utility were evaluated through calibration plots and decision curve analysis (DCA). The model's internal validation was conducted using the validation cohort. RESULTS: Predictors integrated into the prediction nomogram encompassed cardiovascular disease (CVD) (odds ratio [OR] 7.95, 95% confidence interval [CI] 2.400-29.979), smoking (OR 5.7, 95% CI: 1.661-21.955), dialysis time (OR: 5.91, 95% CI: 5.866-29.979), low-density lipoprotein (OR: 2.99, 95% CI: 0.751-13.007), and fibrin degradation products (OR: 5.47, 95% CI: 1.563-23.162). The model exhibited robust discrimination, with a C-index of 0.877 and 0.915 in the internal training and validation cohorts, respectively. The AUC for the training set was 0.857, and a similar AUC of 0.905 was achieved in the validation cohort. DCA demonstrated a positive net benefit within a threshold risk range of 2-96%. CONCLUSION: The proposed nomogram effectively identifies MHD patients at high risk of AIS at an early stage. This model holds the potential to aid clinicians in making preventive recommendations.

Electronics and Optoelectronics Based on Tellurium.

As a true 1D system, group-VIA tellurium (Te) is composed of van der Waals bonded molecular chains within a triangular crystal lattice. This unique crystal structure endows Te with many intriguing properties, including electronic, optoelectronic, thermoelectric, piezoelectric, chirality, and topological properties. In addition, the bandgap of Te exhibits thickness dependence, ranging from 0.31 eV in bulk to 1.04 eV in the monolayer limit. These diverse properties make Te suitable for a wide range of applications, addressing both established and emerging challenges. This review begins with an elaboration of the crystal structures and fundamental properties of Te, followed by a detailed discussion of its various synthesis methods, which primarily include solution phase, and chemical and physical vapor deposition technologies. These methods form the foundation for designing Te-centered devices. Then the device applications enabled by Te nanostructures are introduced, with an emphasis on electronics, optoelectronics, sensors, and large-scale circuits. Additionally, performance optimization strategies are discussed for Te-based field-effect transistors. Finally, insights into future research directions and the challenges that lie ahead in this field are shared.

ABCG2 shields against epilepsy, relieves oxidative stress and apoptosis via inhibiting the ISGylation of STAT1 and mTOR.

The transporter protein ABC subfamily G member 2 (ABCG2) is implicated in epilepsy; however, its specific role remains unclear. In this study, we assessed changes in ABCG2 expression and its role in epilepsy both in vitro and in vivo. We observed an instantaneous increase in ABCG2 expression in epileptic animals and cells. Further, ABCG2 overexpression significantly suppressed the oxidative stress and apoptosis induced by glutamate, kainic acid (KA), and lipopolysaccharide (LPS) in neuronal and microglia cells. Furthermore, inhibiting ABCG2 activity offset this protective effect. ABCG2-deficient mice (ABCG2-/-) showed shorter survival times and decreased survival rates when administered with pentylenetetrazole (PTZ). We also noticed the accumulation of signal transducer and activator of transcription 1 (STAT1) and decreased phosphorylation of mammalian target of rapamycin kinase (mTOR) along with increased ISGylation in ABCG2-/- mice. ABCG2 overexpression directly interacted with STAT1 and mTOR, leading to a decrease in their ISGylation. Our findings indicate the rapid increase in ABCG2 expression acts as a shield in epileptogenesis, indicating ABCG2 may serve as a potential therapeutic target for epilepsy treatment.

SPARC Knockdown Reduces Glutamate-Induced HT22 Hippocampal Nerve Cell Damage by Regulating Autophagy.

Secreted protein acidic and rich in cysteine (SPARC) is a matricellular protein involved in the extracellular matrix and interactions between cells during neural development of the central nervous system (CNS). Oxidative glutamate toxicity is involved in CNS diseases, including epilepsy, Alzheimer's disease, and ischemic stroke. However, the molecular mechanism of nerve injury is not fully understood in CNS diseases. Herein, the glutamate-induced nerve damage model was used to explore the molecular mechanisms affecting nerve damage. The levels of SPARC and autophagy were increased in glutamate-induced HT22 hippocampal nerve injury. In summary, the current study confirmed that SPARC regulates autophagy in HT22 hippocampal nerve cells, and its knockdown reduces the glutamate-induced HT22 hippocampal nerve injury by inhibiting autophagy. These findings suggested that SPARC plays a crucial role in nerve injury of CNS diseases.

The formation of bio-oil from sludge by deoxy-liquefaction in supercritical ethanol.

A novel deoxy-liquefaction of sludge to liquid fuel (CH(2.07-1.40)O(0.30-0.06)N(0.09-0.05)S(0.02-0.0032)) was studied in supercritical ethanol. The reduction of oxygen atoms combined with hydrogen to produce H(2)O weaken the reduction of oxygen atoms in the form of CO and CO(2), and the latter process is the primary process for the reduction of oxygen during deoxy-liquefaction. The significant increment of oil and residue fractions yield was obtained in excess ethanol as extraction and polymerization process. The addition of Fe-catalyst could promote the catalytic activity of hydrogenation for free radicals, but inhibited the liquefaction conversion. Esters and acids were identified as main compounds as the decomposing, extraction and esterification process. The conversion of free radicals and intermediates to products with heterocyclics and phenol ring was promoted, and the formation of medium-boiling-point compounds without heterocyclics and phenol ring structure was inhibited at higher temperature and higher solvent filling ratio.