Vascular endothelial growth factor accelerates healing of foot ulcers in diabetic rats via promoting M2 macrophage polarization.

AIM: The objective was to investigate the specific role and the regulatory mechanism of vascular endothelial growth factor (VEGF) during wound healing in diabetic foot ulcer (DFU). METHODS: Streptozotocin-induced diabetic rats were used to establish a DFU animal model. VEGF and Axitinib (a specific inhibitor of VEGFR) were used for treatment in vivo. The wounds at different time points were imaged and histological analysis of the wounds were performed by haematoxylin and eosin (H&E) staining and Masson's trichrome staining. Immunohistochemical staining was conducted to examine CD31 and eNOS expression in the wounds. Immunofluorescence assay and quantitative real-time PCR were performed to examine macrophage markers. In addition, THP-1 was differentiated to macrophages, and then treated with interleukin (IL)-4 to induce M2 macrophages, followed by VEGF treatment. The conditional medium (CM) from VEGF-mediated macrophages were collected to culture human dermal fibroblasts (HDFs). Cell viability and migration were measured by Cell Counting Kit (CCK)-8, wound-healing and Transwell assays, respectively. RESULTS: VEGF treatment remarkably accelerated wound healing of DFU rats. VEGF promoted collagen deposition and elevated CD31 and eNOS expression, confirming the pro-angiogenesis of VEGF around diabetic wound in rats. Meanwhile, VEGF restricted pro-inflammatory cytokines and increased F4/80 and CD206 expression, highlighting the activated macrophages and enhanced M2 macrophages following VEGF treatment in diabetic wounds of DFU rats. However, Axitinib exerted an opposite function to VEGF in DFU rats. Moreover, VEGF directly promoted macrophage polarization toward M2 phenotype in vitro, and the CM from VEGF-mediated M2 macrophages markedly promoted HDFs proliferation, migration and collagen deposition. CONCLUSION: VEGF might accelerate the wound healing of DFU through promoting M2 macrophage polarization and fibroblast migration.

Insomnia in epilepsy is associated with nocturnal seizures and anxiety.

PURPOSE: The purpose of this study was to identify the factors associated with insomnia in patients with epilepsy (PWE) and provide evidence for clinical prevention and treatment. METHODS: PWE who visited our epilepsy clinic from December 2021 to December 2022 were enrolled in our study. All participants completed the Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS). Based on their ISI scores, they were categorized into two groups: PWE with insomnia (ISI score ≥ 10) and PWE without insomnia (ISI score < 10). Univariate analysis and stepwise logistic regression analysis were conducted to identify the factors associated with insomnia in PWE. RESULTS: A total of 196 Chinese PWE were recruited in this study(men, 39.8 %). Of these, 39 PWE(19.9 %) had insomnia.The incidence of nocturnal seizures (43.6 %vs19.7 %), depression (46.2 %vs9.6 %), anxiety (59.0 %vs11.5 %), and excessive daytime sleepiness(EDS,28.2 %vs5.7 %) in PWE with insomnia were significantly higher than in those without insomnia(all p＜0.01). Univariate regression analysis showed that seizures greater than or equal to once per month, nocturnal seizures, anxiety, depression, and EDS may associate with insomnia in PWE(all p＜0.05). Stepwise logistic regression analysis demonstrated that nocturnal seizures (OR = 2.611,95 % CI 1.040-6.478, P = 0.038) and anxiety (mild OR = 4.830,95 %CI 1.741-13.186, P = 0.002;moderate OR = 24.239,95 %CI 4.719-183.935, P＜0.001; severe OR = 37.653,95 %CI 4.931-782.741, P = 0.002) were independently associated with insomnia in PWE. CONCLUSION: PWE with insomnia are more likely to experience depression and EDS. Nocturnal seizures and anxiety are identified as independent factors associated with insomnia in PWE. Furthermore, Anxiety has a greater impact on insomnia in PWE and the likelihood of insomnia has increased significantly with the aggravation of anxiety levels.

Insomnia in patients with MRI-negative epilepsy: The associated factors and 3D-pCASL cerebral blood flow perfusion changes.

OBJECTIVE: This study aimed to identify the factors associated with insomnia in MRI-negative epilepsy and uncover the underlying pathological mechanism driving insomnia within the context of epilepsy. METHODS: We conducted a retrospective study of patients with MRI-negative epilepsy recruited consecutively from December 2021 to December 2022. All subjects completed the Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS). Additionally, some subjects underwent the three-dimensional pseudo continuous arterial spin labeling(3D-pCASL) imaging examination. Bilateral frontal lobe, temporal lobe, hippocampus, thalamus, amygdala, caudate nucleus and lenticular nucleus were selected as regions of interest(ROI) and cerebral blood flow(CBF) values were measured in these regions. Subjects were classified into insomnia (ISI ≥ 10) or non-insomnia (ISI < 10) groups, and univariate and stepwise logistic regression analyses were employed to identify the factors associated with insomnia. Furthermore, CBF values in each ROI were compared between the two groups to identify the brain regions potentially related to the underlying pathological mechanism of insomnia in epilepsy. RESULTS: A total of 73 patients with MRI-negative epilepsy were recruited in this study(men, 49.3 %). Among them, 14 patients(19.2 %) had insomnia. Univariate regression revealed that nocturnal seizures, number of anti-seizure medication(ASM), anxiety, use of valproic acid(VPA), depression, and excessive daytime sleepiness(EDS) may be associated with insomnia in MRI-negative epilepsy (all p＜0.05). Stepwise regression demonstrated that nocturnal seizures, anxiety, and EDS were independently associated with insomnia in MRI-negative epilepsy (OR[95 %CI]P: 14.64[2.02-106.27]0.008,49.35[3.06-796.61]0.006, 13.28[1.25-140.66]0.032, respectively). Furthermore, CBF values in the left amygdala were significantly lower in patients with MRI- negative epilepsy who had insomnia. CONCLUSION: The prevalence of insomnia in MRI-negative epilepsy is 19.2%. Nocturnal seizures, anxiety, and EDS were independently associated with insomnia in MRI-negative epilepsy. The noteworthy decrease in CBF values in the left amygdala might be connected to the underlying pathological mechanism of insomnia in epilepsy.

Engineering of cyclodextrin glycosyltransferase improves the conversion efficiency of rebaudioside A to glucosylated steviol glycosides and increases the content of short-chain glycosylated steviol glycoside.

BACKGROUND: Compared with steviol glycosides, the taste of glucosylated steviol glycosides is better and more similar to that of sucrose. At present, cyclodextrin glucanotransferase (CGTase) is primarily used to catalyze the conversion of steviol glycosides to glucosylated steviol glycosides, with soluble starch serving as a glycosyl donor. The main disadvantages of enzymatic transglycosylation are the limited number of enzymes available, the low conversion rates that result in low yields, and the lack of selectivity in the degree of glycosylation of the products. In order to fill these gaps, the proteome of Alkalihalobacillus oshimensis (also named Bacillus oshimensis) was used for mining novel CGTases. RESULTS: Here, CGTase-15, a novel ß-CGTase with a wide pH adaptation range, was identified and characterized. The catalyzed product of CGTase-15 tasted better than that of the commercial enzyme (Toruzyme® 3.0 L). In addition, two amino acid sites, Y199 and G265, which play important roles in the conversion of steviol glycosides to glucosylated steviol glycosides were identified by site-directed mutagenesis. Compared with CGTase-15, CGTase-15-Y199F mutant significantly increased the conversion rate of rebaudioside A (RA) to glucosylated steviol glycosides. Compared with CGTase-15, the content of short-chain glycosylated steviol glycosides catalyzed by CGTase-15-G265A mutant was significantly increased. Moreover, the function of Y199 and G265 was verified in other CGTases. The above mutation pattern has also been applied to CGTase-13 (a CGTase discovered by our laboratory with great potential in the production of glycosylated steviol glycosides), confirming that the catalytic product of CGTase-13-Y189F/G255A mutant has a better taste than that of CGTase-13. CONCLUSIONS: This is the first report on the improvement of the sensory profiles of glycosylated steviol glycosides through site-directed mutagenesis of CGTase, which is significant for the production of glycosylated steviol glycosides.

Mortality and causes of death among people with convulsive epilepsy in northwestern China.

OBJECTIVE: We analyzed mortality and causes of death among people with convulsive epilepsy in rural areas of northwestern China. METHODS: We established a population-based prospective cohort of people with convulsive epilepsy in an epilepsy prevention and management program in rural northwestern China from January 2012 to December 2013. A uniform cause of death questionnaire was used to obtain detailed information on participants who died during the follow-up until December 2016. We calculated the standardized mortality ratios (SMRs) and proportional mortality rate for major causes of death. Cox proportional hazards regression analysis was used to investigate the risk factors associated with mortality. RESULTS: Among 4296 people with convulsive epilepsy, 216 died during a median follow-up of 59 months. The overall mortality rate was 10.9 per 1000 person-years, and the overall SMR was 2.0. Accidents (25.5%) ranked first in the cause of death, followed by status epilepticus (SE) (22.9%), probable sudden unexpected death in epilepsy (SUDEP) (22.7%), cerebrovascular disease (13.0%), and cardiovascular disease (6.5%). Drowning (10.6%), motor vehicle accidents (13.6%), and falls (4.6%) were the major causes of death by accidents. Female participants had a reduced risk of death from accidents with the hazard ratio (HR) of 0.3 (95% confidence interval (CI): 0.1-0.6). A high risk of death from cerebrovascular disease (HR: 7.2; 95% CI: 2.1-23.6) was found in participants with an onset age of epilepsy older than 16 years. SIGNIFICANCE: The risk of death from convulsive epilepsy in rural northwestern China is twice that of the general population. Accidents, SE, and SUDEP are the leading putative causes of death. Educating people with epilepsy in different regions may help reduce death-related events.

Vision-based movement recognition reveals badminton player footwork using deep learning and binocular positioning.

Coordinating dynamic interceptive actions in sports like badminton requires skilled performance in getting the racket into the right place at the right time. For this reason, the strategic movement and placement of one's feet, or footwork, is an important part of competitive performance. Developing an automated, efficient, and economical method to record individual movement characteristics of players is critical and can benefit athletes and motor control specialists. Here, we propose new methods for recording data on the footwork of individual badminton players, in which deep learning is used to obtain image coordinates (2D) of their shoes and binocular positioning to reconstruct the 3D coordinates of the shoes. Results show that the final positioning accuracy is 74.7%. Using the proposed methods, we revealed inter-individual adaptations in the footwork of several participants during competitive performance. The data provided insights on how individual participants coordinated footwork to intercept the projectile, by varying the distance traveled on court and jump height. Compared with visual observations by biomechanists and motor control specialists, the proposed methods can obtain quantitative data, provide analysis and evaluation of each participant's performance, revealing personal characteristics that could be targeted to shape the individualized training programs of players to refine their badminton footwork.

Association Between HLA Genotype and Cutaneous Adverse Reactions to Antiepileptic Drugs Among Epilepsy Patients in Northwest China.

This study aimed to investigate the association between HLA genotypes and antiepileptic drug-induced cutaneous adverse reactions (AEDs-cADRs) among patients with epilepsy in Ningxia Hui Autonomous Region of Northwest China. Fifteen patients with AEDs-cADRs and 30 matched AEDs tolerant controls from anested case-control study were tested the HLA-A, HLA-B, and HLA-DRB1 genotype using the polymerase chain reaction sequence-based typing (PCR-SBT). Significant difference was not observed between AEDs-cADRs and AEDs tolerant groups in terms of HLA-A, HLA-B, and HLA-DRB1 genotype frequencies. Future studies using larger cohorts are needed to verify this observation.