Metastable spiking networks in the replica-mean-field limit.

Characterizing metastable neural dynamics in finite-size spiking networks remains a daunting challenge. We propose to address this challenge in the recently introduced replica-mean-field (RMF) limit. In this limit, networks are made of infinitely many replicas of the finite network of interest, but with randomized interactions across replicas. Such randomization renders certain excitatory networks fully tractable at the cost of neglecting activity correlations, but with explicit dependence on the finite size of the neural constituents. However, metastable dynamics typically unfold in networks with mixed inhibition and excitation. Here, we extend the RMF computational framework to point-process-based neural network models with exponential stochastic intensities, allowing for mixed excitation and inhibition. Within this setting, we show that metastable finite-size networks admit multistable RMF limits, which are fully characterized by stationary firing rates. Technically, these stationary rates are determined as the solutions of a set of delayed differential equations under certain regularity conditions that any physical solutions shall satisfy. We solve this original problem by combining the resolvent formalism and singular-perturbation theory. Importantly, we find that these rates specify probabilistic pseudo-equilibria which accurately capture the neural variability observed in the original finite-size network. We also discuss the emergence of metastability as a stochastic bifurcation, which can be interpreted as a static phase transition in the RMF limits. In turn, we expect to leverage the static picture of RMF limits to infer purely dynamical features of metastable finite-size networks, such as the transition rates between pseudo-equilibria.

Body Mass Index Affects Delayed Chemotherapy-induced Vomiting in Pediatric Malignancy Patients.

BACKGROUND: Delayed chemotherapy-induced vomiting (DCIV) is a problem for children undergoing chemotherapy for malignant tumors. The aim of this study was to investigate the association between body mass index (BMI) and DCIV in children. PATIENTS AND METHODS: Clinical data were collected from patients with malignancies who underwent chemotherapy at our center. Independent risk factors for DCIV derived by logistic regression. The Youden Index, which calculates BMI, divides patients into a high-risk group and a low-risk group, and the difference in DCIV between the two groups was analyzed. The relationship between BMI and DCIV was assessed by calculating the frequency of vomiting episodes and the severity of vomiting. RESULTS: A total of 283 patients were included in this cohort study. BMI (odds ratio [OR]: 0.811; 95% CI: 0.699-0.941), age (OR: 1.014; 95% CI: 1.006-1.021), and emetogenic grade (OR: 2.858, 95% CI: 1.749-4.671) were independent risk factors for the development of DCIV in children. Patients in the high-risk group experienced vomiting more frequently and with greater severity than those in the low-risk group ( P < 0.05). CONCLUSIONS: BMI in children with malignancy is associated with DCIV, and the incidence of DCIV decreases as BMI increases. Physicians may be able to arrange a more elaborate antiemetic prevention regimen based on the patient's BMI.

N-Acetyl-l-cysteine ameliorates gestational diabetes mellitus by inhibiting oxidative stress.

Objective: Gestational diabetes mellitus (GDM) affects 7% of pregnant women worldwide. How to effectively treat GDM has always been a concern of people.Research methods: In this study, a diabetes model was established by drug-induced mice. Subsequently, the blood glucose levels and serum insulin changes of the mice after N-acetyl-l-cysteine (NAC) treatment were observed. At the same time, the effect of NAC on reproduction of GDM mice was recorded.Results of the study: Mice fed NAC showed significantly improved glucose tolerance and insulin sensitivity compared to Diabetic/Control. Total serum cholesterol, serum triglycerides, and serum low-density lipoprotein were significantly reduced, and atherosclerosis index was much lower than in control mice. In addition, Diabetic/Control mice had lower litter sizes and higher birth weights. NAC treatment significantly restored litter size and reduced birth weight in Diabetic/Control mice. It was found in WB assay that the NAC-fed group significantly increased nuclear Nrf2 and HO-1 expression levels.Conclusion: NAC can improve blood glucose tolerance in GDM mice; NAC effectively relieves the symptoms of hyperlipidemia caused by GDM; NAC enhances the expression of Nrf2/HO-1 in the liver, thereby restoring redox homeostasis. NAC can reduce gestational diabetes-related disease indicators by oral administration, and has a beneficial effect on the offspring of pregnant mice (reduces its diabetes disease indicators).

Topological Transitions Induced by Antiferromagnetism in a Thin-Film Topological Insulator.

Magnetism in topological insulators (TIs) opens a topologically nontrivial exchange band gap, providing an exciting platform for manipulating the topological order through an external magnetic field. Here, we show that the surface of an antiferromagnetic thin film can magnetize the top and the bottom TI surface states through interfacial couplings. During the magnetization reversal, intermediate spin configurations are ascribed from unsynchronized magnetic switchings. This unsynchronized switching develops antisymmetric magnetoresistance spikes during magnetization reversals, which might originate from a series of topological transitions. With the high Néel ordering temperature provided by the antiferromagnetic layers, the signature of the induced topological transition persists up to ∼90 K.

Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective Study.

INTRODUCTION: Postherpetic neuralgia (PHN), a complication of herpes zoster, significantly impacts the quality of life of affected patients. Research indicates that early intervention for pain can reduce the occurrence or severity of PHN. This study aims to develop a predictive model and scoring table to identify patients at risk of developing PHN following acute herpetic neuralgia, facilitating informed clinical decision-making. METHODS: We conducted a retrospective review of 524 hospitalized patients with herpes zoster at The First Affiliated Hospital of Zhejiang Chinese Medical University from December 2020 to December 2023 and classified them according to whether they had PHN, collecting a comprehensive set of 30 patient characteristics and disease-related indicators, 5 comorbidity indicators, 2 disease score values, and 10 serological indicators. Relevant features associated with PHN were identified using the least absolute shrinkage and selection operator (LASSO). Then, the patients were divided into a training set and a test set in a 4:1 ratio, with comparability tested using univariate analysis. Six models were established in the training set using machine learning methods: support vector machines, logistic regression, random forest, k-nearest neighbor, gradient boosting, and neural network. The performance of these models was evaluated in the test set, and a nomogram based on logistic regression was used to create a PHN prediction score table. RESULTS: Eight non-zero characteristic variables selected from the LASSO regression results were included in the model, including age [area under the curve (AUC) = 0.812, p < 0.001], Numerical Rating Scale (NRS) (AUC = 0.792, p < 0.001), receiving treatment time (AUC = 0.612, p < 0.001), rash recovery time (AUC = 0.680, p < 0.001), history of malignant tumor (AUC = 0.539, p < 0.001), history of diabetes (AUC = 0.638, p < 0.001), varicella-zoster virus immunoglobulin M (AUC = 0.620, p < 0.001), and serum nerve-specific enolase (AUC = 0.659, p < 0,001). The gradient boosting model outperformed other classifier models on the test set with an AUC of 0.931, 95% confidence interval (CI) (0.882-0.980), accuracy of 0.886 (95% CI 0.809-0.940). In the test set, our predictive scoring table achieved an AUC of 0.820 (95% CI 0.869-0.970) with accuracy of 0.790 (95% CI 0.700-0.864). CONCLUSION: This study presents a methodology for predicting the development of postherpetic neuralgia in shingles patients by analyzing historical case data, employing various machine learning techniques, and selecting the optimal model through comparative analysis. In addition, a logistic regression model has been used to create a scoring table for predicting the postherpetic neuralgia.

Metabolic dysfunction associated steatotic liver disease in patients with plaque psoriasis: a case-control study and serological comparison.

Background: The relationship between plaque psoriasis and both MASLD and lean MASLD has not been sufficiently explored in the current literature. Method: This retrospective and observational study was carried out from January 2021 to January 2023 at The First Affiliated Hospital of Zhejiang Chinese Medical University. Patients diagnosed with plaque psoriasis and a control group consisting of individuals undergoing routine physical examinations were enrolled. The incidence of MASLD and lean MASLD among these groups was compared. Additionally, patients with plaque psoriasis were divided into those with MASLD, those with lean MASLD, and a control group with only psoriasis for a serological comparative analysis. Results: The incidence of MASLD in the observation group and the control group was 43.67% (69/158) and 22.15% (35/158), respectively (p < 0.01). Furthermore, the incidence of lean MASLD within the observation group and the control group was 10.76% (17/158) and 4.43% (7/158), respectively (p < 0.01). After controlling for potential confounding variables, plaque psoriasis was identified as an independent risk factor for MASLD with an odds ratio of 1.88 (95% cl: 1.10-3.21). In terms of serological comparison, compared to the simple psoriasis group, we observed a significant elevation in the tumor marker CYFRA21-1 levels in both groups compared to the control group with simple psoriasis (p < 0.01). Moreover, the MASLD group exhibited elevated levels of inflammatory markers and psoriasis score, whereas these effects were mitigated in the lean MASLD group. Conclusion: The prevalence of MASLD and lean MASLD is higher among patients with psoriasis. Those suffering from psoriasis along with MASLD show increased psoriasis scores and inflammatory markers compared to those without metabolic disorders. MASLD likely worsens psoriasis conditions, indicating the necessity of targeted health education for affected individuals to reduce the risk of MASLD, this education should include guidelines on exercise and diet. In serological assessments, elevated levels of cytokeratin 19 fragment (CYFRA21-1) were noted in both MASLD and lean MASLD groups, implying a potential synergistic role between psoriasis and MASLD.

Facile Fabrication of Superhydrophobic and Flame-Retardant Coatings on Cotton Fabrics.

The hydrophilicity and inherent flammability of cotton textiles severely limit their usage. To solve these drawbacks, a superhydrophobic and flame-retardant (SFR) coating made of chitosan (CH), ammonium polyphosphate (APP), and TiO2-SiO2-HMDS composite was applied to cotton fabric using simple layer-by-layer assembly and dip-coating procedures. First, the fabric was alternately immersed in CH and APP water dispersions, and then immersed in TiO2-SiO2-HMDS composite to form a CH/APP@TiO2-SiO2-HMDS coating on the cotton fabric surface. SEM, EDS, and FTIR were used to analyze the surface morphology, element composition, and functional groups of the cotton fabric, respectively. Vertical burning tests, microscale combustion calorimeter tests, and thermogravimetric analyses were used to evaluate the flammability, combustion behavior, thermal degradation characteristics, and flame-retardant mechanism of this system. When compared to the pristine cotton sample, the deposition of CH and APP enhanced the flame retardancy, residual char, heat release rate, and total heat release of the cotton textiles. The superhydrophobic test results showed that the maximal contact angle of SFR cotton fabric was 153.7°, and possessed excellent superhydrophobicity. Meanwhile, the superhydrophobicity is not lost after 10 laundering cycles or 50 friction cycles. In addition, the UPF value of CH/APP@TiO2-SiO2-HMDS cotton was 825.81, demonstrating excellent UV-shielding properties. Such a durable SFR fabric with a facile fabrication process exhibits potential applications for both oil/water separation and flame retardancy.

NOD-like receptor protein 3 and high mobility group box-1 are associated with prognosis of patients with congenital heart disease.

OBJECTIVE: To investigate the association between plasma levels of nucleotide-binding oligomerization domain-like (NOD)-like receptor protein 3 (NLRP3) and high mobility group box-1 (HMGB1) and their prognostic significance in neonatal patients with congenital heart disease (CHD). METHODS: This study enrolled neonatal patients with CHD and collected their demographic and clinical data. Plasma concentrations of NLRP3 and HMGB1 were measured using enzyme-linked immunosorbent assays. Spearman's analysis was used to determine the correlation between NLRP3 and HMGB1 levels. The association between NLRP3 and HMGB1 levels and 2-year survival and mortality were evaluated using Kaplan-Meier curve and logistic regression analyses. RESULTS: A total of 84 neonatal patients with CHD were included in the study. Plasma NLRP3 and HMGB1 levels were significantly higher in deceased patients compared with those that survived. There was a positive correlation between NLRP3 and HMGB1 levels in neonatal patients with CHD. Patients with elevated levels of NLRP3 and HMGB1 showed significantly lower 2-year survival and higher mortality rates compared with those with lower NLRP3 and HMGB1 levels. CONCLUSION: Neonatal patients with CHD and a poor prognosis had higher NLRP3 and HMGB1 levels, which suggests that these might be potential biomarkers of CHD prognosis.

Effects and mechanisms of PSS-loaded nanoparticles on coronary microcirculation dysfunction in streptozotocin-induced diabetic cardiomyopathy rats.

Coronary microvascular dysfunction (CMD) is the pathological basis and pathogenesis of diabetic cardiomyopathy (DCM). Propylene glycol alginate sodium sulfate (PSS) as heparinoid drug has many biological activities. Here, a novel PSS-loaded nanoparticle (PSS-NP) was prepared to study its effect on the CMD of DCM. We used diabetes mellitus rat induced by STZ to establish the CMD model of DCM, and the study was detected by echocardiography, histological analysis, transmission electron microscopy, immunofluorescence staining, enzyme-linked immunosorbent assay, real time-PCR analysis, liquid-chip analysis, western blot analysis and so on. The experimental results suggested that PSS-NP could improve the survival state of rats, cardiac function, myocardial morphology and coronary microcirculation structure disorders, and increase the number of microvessels. In addition, we demonstrated that PSS-NP could alleviate the CMD by improving endothelial function, anticoagulation and antioxidative stress. The outcomes of this study provided new treatment thoughts for the therapy of coronary microcirculation dysfunction in DCM.

MicroRNA-486-5p down-regulation protects cardiomyocytes against hypoxia-induced cell injury by targeting IGF-1.

BACKGROUND: MicroRNA has been reported to play an important role in congenital heart disease (CHD) in children. Recently, microRNA-486-5p (miR-486-5p) has been found increased in patients with cyanotic heart disease compared with those without heart disease. The present study aimed to investigate the effect of miR-486-5p on hypoxia-induced cardiomyocyte injury to reveal the role of miR-486-5p in cyanotic congenital heart disease (CCHD). METHODS: Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to determine the expression of miR-486-5p in hypoxia-induced H9C2 cells. Dual luciferase reporter gene assay was used to confirm IGF-1 was a direct target of miR-486-5p. miR-486-5p inhibitor and IGF-1-siRNA were transfected into H9C2 cells. The cell viability was detected by MTT. Cell apoptosis was detected using flow cytometry. The expression of IGF-1, Bcl-2, caspase-3, caspase-9, and Bax mRNA and protein were detected by RT-qPCR and western blotting, respectively. RESULTS: miR-486-5p expression gradually increased with prolonged hypoxia time in H9C2 cells. Dual luciferase reporter gene results confirmed IGF-1 was a direct target of miR-486-5p. In addition, inhibition of miR-486-5p significantly increased the hypoxia-induced decrease in cell survival and attenuated hypoxia-induced apoptosis. Furthermore, inhibition of miR-486-5p significantly attenuated the hypoxia-induced decrease in the level of IGF-1 and Bcl-2 and the increase in pro-apoptotic proteins such as caspase-3, caspase-9 and Bax. These effects could be reversed by IGF-1-siRNA. CONCLUSION: The data demonstrated that inhibition of miR-486-5p increased cardiomyocyte growth and reduced cell apoptosis under hypoxic conditions by targeting IGF-1, indicating that miR-486-5p may be an effective target for the treatment of CCHD.