DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites.

MOTIVATION: Phosphorylation, a prevalent post-translational modification, plays a crucial role in regulating cellular activities. This process encompasses O-phosphorylation (e.g., phosphoserine) and N-phosphorylation (e.g., phospho-lysine (pK), phospho-arginine (pR), and phospho-histidine (pH)). While significant research has focused on O-phosphorylation, resulting in the development of various algorithms for predicting O-phosphorylation sites with commendable performance, there has been a notable absence of models designed to predict N-phosphorylation sites. This study introduces an integrated model named DeepNphos, designed to predict N-phosphorylation sites. This model is developed based on the analysis of thousands of experimentally identified pK, pR and pH sites. RESULTS: Observing that the Convolutional Neural Network (CNN) model, incorporating the One-Hot encoding feature, demonstrates favorable performance in comparison to other models when predicting pK, pR, and pH sites. Additionally, pK exhibits similarities to other lysine modification types, and integrating the CNN model with a deep-transfer learning (DTL) strategy based on tens of thousands of known lysine modification sites could enhance pK prediction performance. In contrast, pR exhibits little similarity to other arginine modification types, and the integration of DTL has minimal impact on pR prediction performance. Furthermore, the decision was made to refrain from incorporating the DTL strategy in predicting pH sites, given the scarcity of histidine modification sites beyond those associated with pH. The final classifiers for predicting pK, pR, and pH sites achieve AUC values of 0.856, 0.805 and 0.802 for ten-fold cross-validation, respectively. Overall, DeepNphos is the first classifier for predicting N-phosphorylation sites, accessible at https://github.com/ChangXulinmessi/DeepNPhos.

The influence of H2O or/and O2 introduction during the low-temperature gas-phase sulfation of organic COS + CS2 on the conversion and deposition of sulfur-containing species in the sulfated CeO2-OS catalyst for NH3-SCR.

Herein, the typical components of blast furnace gas, including H2O and O2, were introduced to improve the NH3-SCR activity of the sulfated CeO2-OS catalyst during the gas-phase sulfation of organic COS + CS2 at 50 °C. The characterization results demonstrate that the introduction of O2 or H2O during gas-phase sulfation enhances the conversion of organic COS + CS2 on a cubic fluorite CeO2 surface and reduces the formation of sulfur and sulfates in the catalyst, but decreases the BET surface area and pore volume of the sulfated CeO2-OS catalyst. However, the introduction of O2 or H2O during the gas-phase sulfation increases the molar ratios of Ce3+/(Ce3+ + Ce4+) and Oß/(Oα + Oß + Oγ) on the sulfated CeO2-OS catalyst surface, thus promoting the formation of surface oxygen vacancies and chemisorbed oxygen, and these properties of the catalyst are further enhanced by the co-existence of O2 and H2O. Furthermore, the reduction of sulfates formed under the action of O2 or H2O decreases the weak acid sites of the sulfated CeO2-OS catalyst, but the few and highly dispersive sulfates present stronger reducibility, and the proportion of medium-strong acid sites of the catalyst increases. These factors help to improve the NH3-SCR activity of the sulfated CeO2-OS catalyst. Thus, there exists a synergistic effect of H2O and O2 introduction during gas-phase sulfation on the physical-chemical properties and catalytic performance of the sulfated CeO2-OS catalyst by organic COS + CS2 at 50 °C.

DNA methylation of ICAM4 and NOXO1 participate in the formation of uterine fibroids via regulating immune cell infiltration.

This atudy aimed to reveal the effect of DNA methylation on immune infiltration of uterine fibroids (UFs) and to further classify UFs based on transcriptomic characteristics. The transcriptome and DNA methylation data of UFs were collected from the GEO database. After taking the intersection of the differentially expressed genes in these two types of data, the intersection gene was used to draw ROC curves and to filtrate the candidate genes with AUC≥0.8. Immune infiltration analysis was performed in the online tool EPIC. The correlation between gene with AUC≥0.8 and the abundance of each immune cell type was calculated with |R|>0.3 and P<0.05. ConsensusClusterPlus package in R software was used to further cluster the samples of UFs. In this study, a total of 41 RNA-seq data (10 normal uterine samples and 31 UFs samples) and 34 DNA methylation data (10 from normal subjects and 24 from patients with UFs) were involved. The significantly down-regulated ICAM4, SPECC1L, and NOXO1 were the top three methylated drive genes of UFs. Therefore, NOXO1 and ICAM4 present an intimate correlation to immune cell infiltration. Besides, UFs could be clustered into two subtypes, including a TSAB1 up-regulated subtype and a FOSB up-regulated subtype. DNA methylation of ICAM4 and NOXO1 are involved in the pathogenesis of UFs via regulating immune cell infiltration. Further classification based on transcriptomic characteristics could divide UFs into sexual steroids-related and biomechanics-related subtypes, which would promote its non-invasive treatment.

Periventricular nodular heterotopias is associated with mutation at the FLNA locus-a case history and a literature review.

BACKGROUND: Periventricular nodular heterotopia (PNH), associated with FLNA mutations, is a rare clinical condition potentially associated with multiple systemic conditions, including cardiac, pulmonary, skeletal, and cutaneous diseases. However, due to a paucity of information in the literature, accurate prognostic advice cannot be provided to patients with the disease. CASE PRESENTATION: We report a 2-year-old female whose PNH was associated with a nonsense mutation in the q28 region of the X chromosome, in exon 31 of FLNA (c.5159dupA). The patient is currently seizure-free and has no congenital heart disease, lung disease or skeletal or joint issues, and her development is normal. CONCLUSIONS: FLNA-associated PNH is a genetically-heterogeneous disease, and the FLNA mutation, c.5159dupA (p.Tyr1720*) is a newly identified pathogenic variant. FLNA characterization will help the clinical diagnosis and treatment of PNH and provide individualized genetic counseling for patients.

Observation of the Systolic Function of Isolated Right Atria from Guinea Pigs.

Common chronic heart failure (CHF) is characterized by impaired ventricular filling and/or ejection function, which leads to insatiable cardiac output and increased incidence. The decline in cardiac systolic function is a key factor in the pathogenesis of CHF. Systolic function is simply the filling of oxygenated blood in the left ventricle, followed by the blood being pumped throughout the body during a heartbeat. A weak heart and the inability of the left ventricle to contract appropriately as the heart beats indicate poor systolic function. Many traditional herbs have been suggested to strengthen the systolic function of the heart in patients. However, stable and efficient experimental methods for screening compounds that enhance myocardial contractility are still lacking in the process of ethnic medicine research. Here, taking digoxin as an example, a systematic and standardized protocol is provided for screening compounds that enhance myocardial contractility by using isolated right atria from guinea pigs. The results showed that digoxin could markedly enhance the contractility of the right atrium. This systematic and standardized protocol is intended to serve as a methodological reference for screening the active ingredients of ethnic medicines in the treatment of CHF.

Case report: Myocardial noncompaction causing massive cerebral infarction in 1 patient with eyelid edema as an early manifestation and literature review.

Objective: To summarize and analyze the early clinical manifestations, risk factors, treatment and prognosis of myocardial noncompaction in children, and to provide scientific basis for early and effective intervention. Methods: Combined with a case of myocardial noncompaction with massive cerebral infarction in a child, the related research reports of myocardial noncompaction in children were analyzed retrospectively. Results: Myocardial noncompaction in children is cardiomyopathy caused by abnormal myocardial compaction during embryonic development. Feeding intolerance, dyspnea, chest tightness, fatigue, eyelid edema and other non-specific manifestations may occur in the early stage. It is easy to miss the diagnosis and misdiagnosis in clinical diagnosis and treatment, leading to intractable heart failure, nausea and arrhythmia, thromboembolism and even sudden death and other serious complications. Early diagnosis, symptomatic treatment, control of complications and regular follow-up can prevent the occurrence of serious complications and reduce mortality. Conclusion: There is no specific clinical manifestation in the early stage of myocardial noncompaction in children. If it is not detected early and treated symptomatically, the prognosis is poor and the mortality is high. Therefore, clinicians should fully improve the understanding of the early clinical manifestations of this disease, give early diagnosis and early intervention to children, reduce the occurrence of serious complications and improve the survival rate.

Kinetic modeling of xylonic acid production by Gluconobacter oxydans: effects of hydrodynamic conditions.

In this study, the synthesis of xylonic acid from xylose by Gluconobacter oxydans NL71 has been investigated. According to the relationship between oxygen transfer rate and oxygen uptake rate, three different kinetic models of product formation were established and the nonlinear fitting was carried out. The results showed that G. oxydans has critical dissolved oxygen under different strain concentrations, and the relationship between respiration intensity and dissolved oxygen conformed to the Monod equation [Formula: see text]. The maximum reaction rate per unit cell mass and the theoretical maximum specific productivity of G. oxydans obtained by the kinetic model are 0.042 mol/L/h and 6.97 g/gx/h, respectively. These results will assist in determining the best balance between the airflow rate and cell concentration in the reaction and improve the production efficiency of xylonic acid.

Study of the Impact of Air Pollution on Convulsions in Children: A Hospital-Based Retrospective Study in Hangzhou, China.

BACKGROUND: To investigate the relationship between the occurrence of convulsions in children and air pollution in Hangzhou. METHODS: From January 1, 2018, to December 31, 2020, 775 children admitted with convulsion to the pediatric outpatient clinic of The Affiliated Hospital of Hangzhou Normal University (Hangzhou, China) were enrolled in this study. The clinical data and the corresponding weather data of the day in Hangzhou were collected and analyzed. Also, the monthly etiological classification of convulsions and the monthly average air data of Hangzhou were statistically analyzed. RESULTS: The highest incidence of convulsion was observed in children 1 to 2 years old, and higher in boys than in girls. The top three main causes were febrile seizure, benign infantile convulsion with mild gastroenteritis, and epilepsy. Among the meteorological factors, the increase in the level of 2.5 micron particulate matter (PM 2.5) in the air per month led to an increase in the number of patients with febrile seizure, benign infantile convulsion with mild gastroenteritis, and epilepsy, where the increase of ozone in 8 hours (O3-8h) per month led to a decrease in the number of patients with such conditions. CONCLUSIONS: PM2.5, PM10, and SO2 are the main meteorological factors affecting the occurrence of convulsions in children in Hangzhou, and PM2.5 and SO2 are risk factors. The increase in the level of PM2.5 in the air per month could increase occurrence of child convulsions, but the increase of O3-8h per month could decrease occurrence of child convulsions.

[Accumulation, Migration, and Transformation of Soil Phosphorus in Facility Agriculture and Its Influencing Factors].

The aim of this study was to apply phosphorus fertilizer scientifically and reasonably and reduce the pollution risk to the facility agricultural environment. Taking the facility agriculture concentration area in Daxing District of Beijing as the research object, the phosphorus content in soil (0-100 cm) of the facility agriculture profile with different planting years was measured and analyzed to explore the characteristics of phosphorus accumulation, migration, and transformation. The results showed that the contents of total phosphorus and available phosphorus in the surface soil of facility agriculture varied widely, which was significantly higher than that in the surrounding grain field soil, which was mainly related to the amount of phosphorus applied by farmers in different planting years. With the increase in soil depth, the contents of total phosphorus and available phosphorus decreased gradually, showing surface aggregation ω (total phosphorus) ranging from 0.38 to 2.58 g·kg-1 and ω (available phosphorus) ranging from 1.60 to 256.00 mg·kg-1. With the increase in planting years, the contents of soil total phosphorus and available phosphorus first increased and then decreased, reached a peak in approximately 15 years, then gradually decreased, tended to be stable, and generally remained at a high level. Inorganic phosphorus was mainly concentrated in the surface soil of the facility agriculture, in which Ca-P accounted for the largest proportion of inorganic phosphorus, up to 98.38%; Ca10-P was the main form of Ca-P, up to 78.70% of Ca-P, and Ca2-P accounted for the smallest proportion, only 9.50% of Ca-P. The contents of different forms of inorganic phosphorus showed the vertical distribution characteristics of enrichment in the surface soil and a decrease downward. There were differences in the proportion of different forms of inorganic phosphorus to total phosphorus in different soil depths, in which the change in Ca-P was obvious, whereas the change in Fe-P and 0-P was not significant, indicating that the migration and transformation of Fe-P and O-P in the facility agricultural soil was poor, and the migration and transformation of inorganic phosphorus was mainly Ca-P. According to the correlation and path analysis, the direct path coefficient of Ca2-P to available phosphorus was the largest (0.787), which was not only the main source of soil available phosphorus but also the main form of inorganic phosphorus migration and transformation. Under the condition of protected cultivation, soil phosphorus showed a large accumulation trend, the availability of Ca10-P was low, and the accumulation was large. How to improve this portion of phosphorus sources is the key to the management of protected soil phosphorus.

Oxygen mass transfer enhancement by activated carbon particles in xylose fermentation media.

In this work, the effect of activated carbon particles on the production of xylonic acid from xylose by Gluconobacter oxydans in a stirred tank bioreactor was investigated. The enhancement of the oxygen transfer coefficient by activated carbon particles was experimentally evaluated under different solids volume fractions, agitation and aeration rates conditions. The experimental conditions optimized by response surface methodology (agitation speed 800 rpm, aeration rate 7 L min-1, and activated carbon 0.002%) showed a maximum oxygen transfer coefficient of 520.7 h-1, 40.4% higher than the control runs without activated carbon particles. Under the maximum oxygen transfer coefficient condition, the xylonic acid titer reached 108.2 g/L with a volumetric productivity of 13.53 g L-1 h-1 and a specific productivity of 6.52 g/gx/h. In conclusion, the addition of activated carbon particles effectively enhanced the oxygen mass transfer rate. These results demonstrate that activated carbon particles enhanced cultivation for xylonic acid production an inexpensive and attractive alternative.

Expression and significance of serum vitamin D and LL-37 levels in infants with bacterial pneumonia.

Objective: To investigate the significance of vitamin D and human antimicrobial peptide LL-37 in the occurrence and development of bacterial pneumonia in infants. Methods: From January 2021 to January 2022, 80 infants with bacterial pneumonia were selected, including 33 cases of gram-positive bacterial infection (GP) and 47 cases of gram-negative bacterial infection (GN). During the same period, 40 infants who underwent health examination in The Affiliated Hospital of Hangzhou Normal University served as the healthy control group. On the day of admission, peripheral blood was collected from pneumonia patients, and during physical examination of controls; and serum LL-37 levels were measured by enzyme-linked immunosorbent assay (ELISA) and serum 25-hydroxyvitamin D [25(OH)D] levels were measured by electrochemiluminescence. The differences in serum LL-37 and 25(OH)D levels and their correlation with disease severity were compared. Pearson correlation was used to analyze the correlation between serum 25(OH)D and LL-37 levels in infants with bacterial pneumonia. Results: The levels of 25(OH)D and 25(OH)D deficiency were significantly lower in patients than in controls (all P < 0.05), and the levels of serum LL-37 were significantly higher in pneumonia patients than in controls (P < 0.05). There was no significant difference in serum 25(OH)D and LL-37 levels between cases with GP and GN (all P > 0.05). The serum 25(OH)D level was lower in the severe pneumonia group than in the mild pneumonia group and controls, and the 25(OH)D deficiency rate was higher; the difference was statistically significant (all P < 0.05). The LL-37 level in the severe pneumonia group was lower than that in the mild pneumonia group but higher than that in the control group, and the difference was statistically significant (P < 0.05). The 25(OH)D level was positively correlated with the LL-37 level (r = 0.8, P < 0.05), and the 25(OH)D level was negatively correlated with procalcitonin (PCT) and length of hospital stay (rs = -0.3, -0.3, P < 0.05); the LL-37 level was negatively correlated with PCT and length of hospital stay (rs = -0.4, -0.2, P < 0.05) in infants with bacterial pneumonia. Conclusion: A low level of vitamin D is present in infants with bacterial pneumonia, and its status affects the severity and outcome of pneumonia. The level of LL-37 is increased in infants with bacterial pneumonia, but it shows a downward trend with progression of the disease.

ResSUMO: A Deep Learning Architecture Based on Residual Structure for Prediction of Lysine SUMOylation Sites.

Lysine SUMOylation plays an essential role in various biological functions. Several approaches integrating various algorithms have been developed for predicting SUMOylation sites based on a limited dataset. Recently, the number of identified SUMOylation sites has significantly increased due to investigation at the proteomics scale. We collected modification data and found the reported approaches had poor performance using our collected data. Therefore, it is essential to explore the characteristics of this modification and construct prediction models with improved performance based on an enlarged dataset. In this study, we constructed and compared 16 classifiers by integrating four different algorithms and four encoding features selected from 11 sequence-based or physicochemical features. We found that the convolution neural network (CNN) model integrated with residue structure, dubbed ResSUMO, performed favorably when compared with the traditional machine learning and CNN models in both cross-validation and independent tests. The area under the receiver operating characteristic (ROC) curve for ResSUMO was around 0.80, superior to that of the reported predictors. We also found that increasing the depth of neural networks in the CNN models did not improve prediction performance due to the degradation problem, but the residual structure could be included to optimize the neural networks and improve performance. This indicates that residual neural networks have the potential to be broadly applied in the prediction of other types of modification sites with great effectiveness and robustness. Furthermore, the online ResSUMO service is freely accessible.

A combined antibody and DNA assay for EBV infection in children.

Objective: This paper studied the Epstein-Barr virus (EBV) infection status and influencing factors among children using a combined detection of specific antibodies and DNA. Methods: We retrospectively analyzed children who visited the Affiliated Hospital of Hangzhou Normal University from January 2019 to December 2020, and correlations between the social environment and clinical data were analyzed. Results: The cumulative positive rates of specific antibody, DNA, and combined detection of EBV were 52.4%, 39.5%, and 54.0% (P = 0.001), respectively. The current infection rate was 15.7%, and the peak of infection occurred in the preschool group (P = 0.021). After adjusting for confounding factors, the number of siblings (OR = 1.550) and family members who smoke (OR = 1.524) were independent risk factors for EBV infection, whereas parents with a higher education level (OR = 0.493, OR = 0.316), longer breastfeeding time (OR = 0.578) and dedicated tableware (OR = 0.573) were independent protective factors. Conclusion: A combination of antibody and DNA tests may be beneficial for the diagnosis of EBV infection. The EBV infection rate in children at our hospital was lower than the national average. Furthermore, the infection rate is closely related to the number of siblings, regardless of whether family members smoke, the status of parents' education, breastfeeding duration, and meal patterns. Overall, prevention measures should focus on the preschoolers.

Effects of cubic ecological restoration of mining wasteland and the preferred restoration scheme.

In view of the strong acidity and high heavy metal contents of the soil, the low vegetation cover, and strong soil erosion caused by mining activities, the reasonable determination of the cubic restoration mode is the key to determining the good or bad ecological restoration effects on mining wasteland. In this study, based on field experiments, a combined cubic ecological restoration scheme for soil improvement-vegetation reconstruction was constructed. Using analysis of variance, a regression model, and the Mantel test, the differences in soil properties and the biodiversity were analyzed under different restoration schemes, the entropy-weighted-TOPSIS method was used to optimize the best ecological restoration model. The results revealed that compared with the pre-restoration state, the restoration significantly increased the soil pH (p < 0.05) by 4.07-5.73, regulated the strong acidic environment of the soil, increased the organic matter content by 5.35-11.21 times, and improved the soil fertility. The available contents of Pb and Cd were reduced by 67.15-75.58 % and 64.15-88.68 %, respectively compared with the background values. Biodiversity improved significantly, and the available content of Cd was an important factor in the biodiversity recovery. The evaluation of the effect of the restoration scheme showed that the combination of mixed soil amendments of rice husks and chicken manure (10 kg/m2), bacterial fertilizer (1.8 kg/m2), biochar (1.3 kg/m2), lime (8.3 kg/m2), and soil conditioner (1.0 kg/m2) and tolerant plants (Pinus elliottii, Lagerstroemia indica, and Plantago asiatica) are the optimal cubic ecological restoration scheme for the study area, with a plant survival rate of > 90 %, eight families and 10 species of plants, and a coverage rate of 100 %. These research results provide a scientific basis and technical support for reasonable artificial intervention in ecological restoration of mining waste sites in Nanling, northern Guangdong.

Intrapleural injection of urokinase in the treatment of acute Haemophilus influenza empyema in children: A case report and literature review.

Objective: The purpose of this study is to analyze the clinical data of a child with acute empyema caused by Haemophilus influenzae, and to investigate the diagnosis and treatment of this disease through literature review to improve the clinical understanding of this kind of disease. Methods: A 6-year-old female with acute H. influenzae empyema was treated at the Department of Pediatrics of The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China. The pleural puncture fluid turned out to be yellow turbid pus, and the pleural effusion was diagnosed as empyema according to the classification of pleural effusions. High-throughput sequencing revealed the presence of H. influenzae. After comprehensive treatment, including antibiotics, closed pleural drainage, and intrapleural injection of urokinase, the pleural effusion was absorbed and discharged. A systematic literature search in Pubmed, Embase, Scopus, CNKI, Wanfang, and VIP Chinese databases revealed no cases of acute empyema in children caused by H. influenza and treated with urokinase. Results: There was no bronchopleural fistula and tension pneumothorax during the treatment. One month after discharge, chest computed tomography (CT) revealed no pleural thickening and normal pulmonary function. Conclusion: Pneumonia in the child worsened after an initial improvement of symptoms, which is an issue that requires further medical attention. High-throughput sequencing of pathogens in pleural effusion can improve the detection rate. This study indicated that closed pleural drainage combined with intrapleural injection of urokinase is an effective treatment for H. influenzae empyema in children.

Efficient self-attention mechanism and structural distilling model for Alzheimer's disease diagnosis.

Structural magnetic resonance imaging (sMRI) is commonly used for the identification of Alzheimer's disease because of its keen insight into atrophy-induced changes in brain structure. Current mainstream convolutional neural network-based deep learning methods ignore the long-term dependencies between voxels; thus, it is challenging to learn the global features of sMRI data. In this study, an advanced deep learning architecture called Brain Informer (BraInf) was developed based on an efficient self-attention mechanism. The proposed model integrates representation learning, feature distilling, and classifier modeling into a unified framework. First, the proposed model uses a multihead ProbSparse self-attention block for representation learning. This self-attention mechanism selects the first ⌊lnN⌋ elements that can represent the overall features from the perspective of probability sparsity, which significantly reduces computational cost. Subsequently, a structural distilling block is proposed that applies the concept of patch merging to the distilling operation. The block reduces the size of the three-dimensional tensor and further lowers the memory cost while preserving the original data as much as possible. Thus, there was a significant improvement in the space complexity. Finally, the feature vector was projected into the classification target space for disease prediction. The effectiveness of the proposed model was validated using the Alzheimer's Disease Neuroimaging Initiative dataset. The model achieved 97.97% and 91.89% accuracy on Alzheimer's disease and mild cognitive impairment classification tasks, respectively. The experimental results also demonstrate that the proposed framework outperforms several state-of-the-art methods.

Transient Elastography in the Diagnosis of Pediatric Non-alcoholic Fatty Liver Disease and Its Subtypes.

Objective: To study the diagnosis efficacy of controlled attenuation parameters (CAP) and liver stiffness measurement (LSM) in the transient elastography of non-alcoholic fatty liver disease (NAFLD) and its subtypes in children with obesity. Methods: Retrospectively analyze children with obesity in the Childhood Obesity Clinic of the Affiliated Hospital of Hangzhou Normal University from July 2020 to March 2021. The correlation between clinical data and NAFLD subtypes was analyzed, and included the relevant clinical data into the receiver operating characteristic curve for diagnosis and prediction. Results: 120 children aged between 6.1 and 17.8 years, with 70 males (58.33%), 50 females (41.67%), and a ratio of 1.4:1, were enrolled in the study. CAP and LSM correlated in all subtypes of NAFLD. The correlation was significant for diagnosing NAFLD in children with obesity when CAP > 258.00 dB/m and LSM > 4.65 kPa. It was also significant for NASH diagnosis when CAP > 276.00 dB/m and LSM > 5.15 kPa, while it was less significant for diagnosing NAFLD in children with obesity. Conclusions: CAP and LSM have diagnostic efficacy for NAFLD and its subtypes in children with obesity, with optimal predictive values of CAP > 258.00 dB/m and LSM > 4.65 kPa for NAFLD in children with obesity, and CAP > 276.00 dB/m and LSM > 5.15 kPa for NASH in children with obesity.

Clinical Heterogeneity in Acute Symptomatic Seizures due to Autoimmune Encephalitis Related to GAD65 Antibodies.

INTRODUCTION: This study aimed to explore the diversity and clinical features of acute symptomatic seizures due to autoimmune encephalitis related to anti-glutamate decarboxylase (GAD) 65 antibodies. METHODS: Clinical data of a series of 6 patients positive for anti-GAD65 antibodies were retrospectively analyzed. RESULTS: Five of the patients were male and 1 was a female, with a median age of 44.1 years (range 18-70 years). Seizure forms were varied in 6 patients when they were admitted to the hospital: 3 cases of seizures only and 3 accompanied by other symptoms, such as mental disorder, cognitive impairment, cerebellar ataxia, and ocular movement disorder. Three patients (50%) had coexisting systemic autoimmune diseases, including diabetes mellitus, vitiligo, and hyperthyroidism. Five patients (83%) had abnormal brain MRI findings. They were all treated by immunotherapy, 5 of 6 patients improved significantly but relapsed after withdrawing methylprednisolone, and 1 patient got deteriorated. None of them were diagnosed with tumors. CONCLUSIONS: Clinical features of acute symptomatic seizures related to GAD65 antibodies are diverse, and early and continuous immunotherapy is necessary for patients.

Lycium barbarum polysaccharides attenuates high glucose-induced diabetic retinal angiogenesis by rescuing the expression of miR-15a-5p in RF/6A cells.

ETHNOPHARMACOLOGICAL RELEVANCE: Lycium barbarum L., a classical traditional Chinese Medicine, has long been used to treat ocular diseases. Lycium barbarum polysaccharides (LBP) is an effective component of Lycium barbarum L. with a wide range of pharmacological activities. This research aims to investigate the inhibition of high glucose-induced angiogenesis by LBP in RF/6A cells. MATERIALS AND METHODS: A high-glucose-induced angiogenesis model was established using monkey retinal vascular endothelial (RF/6A) cells. Different dosages administration times of LBP and glucose concentrations were tested. Under the optimized conditions, RF/6A cells were treated with LBP for 48 h, followed by another 48-h culture in high glucose (25 mmol/L) medium. The effect and mechanism of LBP were investigated following the treatment. RESULTS: The expression of miR-15a-5p and miR-15a-3p in RF/6A cells decreased significantly after 48 h of 25 or 50 mmol/L high glucose treatment. The expression of miR-15a-5p was higher than that of miR-15a-3p. Mimic-miR-15a-5p or 600 mg/L LBP could increase the apoptosis of cells and the total length of vascular branches. The expression of VEGFA, VEGFR2, and ANG2 proteins was reduced, while the expression of ANG1 protein was elevated. Expression of ASM mRNA and protein was also inhibited. CONCLUSIONS: LBP attenuates diabetic retinal angiogenesis by rescuing the expression of miR-15a-5p in RF/6A cells.

Dehydrocostuslactone attenuated oxygen and glucose deprivation/reperfusion-induced PC12 cell injury through inhibition of apoptosis and autophagy by activating the PI3K/AKT/mTOR pathway.

The purpose of this study is to investigate the protective effect of dehydrocostuslactone (DHL) on PC12 cells injury induced by oxygen and glucose deprivation/reperfusion (OGD/R) and its possible mechanism on the PI3K/AKT/mTOR pathway. The maestro 11.1 software was used to predict the binding sites of DHL with LC3, Beclin-1, PI3K, AKT, mTOR, Bax, Bcl-2, Caspase-3, Caspase-9, and Caspase-7. We used a cellular model of 2 h of OGD and 24 h of reperfusion to mimic cerebral ischemia-reperfusion injury. Cells were treated with DHL during the reperfusion phase. The docking results showed that DHL had binding sites with LC3, Beclin-1, PI3K, AKT, mTOR, Bax, Bcl-2, Caspase-3, Caspase-9, and Caspase-7. The expression levels of autophagy-related proteins, LC3 and Beclin-1 increased while P-PI3K, P-AKT, and P-mTOR decreased. Apoptosis-related proteins, namely, Bax, Cyto-c, Caspase-3, Caspase-7, Caspase-9 increased, but the anti-apoptosis Bcl-2 protein decreased. However, DHL effectively inhibited these undesirable changes induced by OGD/R in PC12 cells. Our results suggested that DHL attenuated OGD/R-induced neuronal injury by inhibiting apoptosis and autophagy by activating PI3K/AKT/mTOR signaling. This inhibition can improve cell survival and offer evidence for the beneficial effects of DHL on the nervous system.