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Background: Ferrous ion, a degradation product of hematomas, induces inflammatory reactions and other secondary injuries after intracerebral hemorrhage (ICH). Our study aimed to investigate the specific neuroprotective mechanism of adipose‐derived stem cells (ADSCs) on ferrous ion‐induced neural injury in vitro. Methods: ADSCs were co‐cultured with primary cortical neurons in a transwell system treated with ferrous sulfate to generate an in vitro ICH model. ADSCs and cortical neurons were cultured in the upper and lower chambers, respectively. Neuron apoptosis was determined by flow cytometry. The levels of insulin‐like growth factor‐1 (IGF‐1), malondialdehyde (MDA) and nitric oxide synthase (NOS) activity in neuron culture medium were detected with commercial kits. In neurons, protein expression in phosphatidylinositol‐3‐kinase (PI3K)/protein kinase B (Akt) signaling pathway, nuclear factor erythroid 2‐related factor 2 (Nrf2)/heme oxygenase‐1 (HO‐1) signaling pathway and apoptosis‐related proteins were detected by western blot. Results: ADSCs attenuated neural apoptosis, reduced MDA levels and NOS activity induced by ferrous sulfate. In neurons, IGF‐1 was increased, as were p‐PI3K, p‐Akt, Nrf2, HO‐1, and Bcl‐2 while cleaved caspase 3 was down‐regulated. Conclusions: ADSCs exert neuroprotective effects against ferrous iron‐induced neuronal damage by secreting IGF‐1 and increasing the levels of Akt‐dependent Nrf2/ARE signaling pathway.

AIM: To demonstrate the feasibility of mesenchymal stem cell (MSC)-mediated nano drug delivery, which was characterized by the “Trojan horse”-like transport of hypoxia-inducible factor-1α small interfering RNA (HIF-1α siRNA) between MSCs and retinal pigment epithelial cells (RPE) under hypoxia environment. METHODS: Plasmid and lentivirus targeting the human HIF-1α gene were designed and constructed. HIF-1α siRNA was encapsulated into poly(lactic-co-glycolic acid) nanoparticles (PLGA-NPs) through the water-in-oil-in-water (w/o/w) multiple emulsion technique. The effect of PLGA-NPs uptake on the expression of HIF-1α mRNA was tested in RPE cells by real-time quantitative polymerase chain reaction (qPCR) and additional transfected conditions were used as control, including lentivirus group, nude plasmid group and blank PLGA group. MSCs were transfected with the NPs and the transfection efficacy was evaluated by flow cytometry. Transwell co-culture system of transfected MSCs and RPE cells was constructed under hypoxia environment. The effects of MSC-loaded HIF-1α siRNA PLGA-NPs on proliferation, apoptosis, and migration of RPE cells were then evaluated. The effect of transfected MSCs on HIF-1α expression of RPE cells was analyzed by using qPCR at the time points 24h, 3d, and 7d. RESULTS: The average diameter of PLGA-NPs loaded with HIF siRNA was 314.1 nm and the zeta potential was -0.36 mV. The transfection efficiency of PLGA-NPs was 67.3%±5.2% into MSCs by using flow cytometry. Compared with the lentivirus group, the PLGA-NPs loaded with HIF-1α siRNA can effectively reduce the expression of HIF-1α mRNA up to 7d in RPE (0.63±0.05 at 7d, P

Purpose Vascular cognitive impairment (VCI) has been one of the major types of cognitive impairment. Blood-brain barrier damage plays an essential part in the pathogenesis of VCI. At present, the treatment to VCI mainly focused on prevention, with no drug clinically approved for the treatment of VCI. This study aimed to investigate the effects of DL-3-n-butylphthalide (NBP) on VCI rats. Methods A modified bilateral common carotid artery occlusion (mBCCAO) model was applied to mimic VCI. The feasibility of the mBCCAO model was verified by laser Doppler, 13N-Ammonia-Positron Emission Computed Tomography (PET) and Morris Water Maze. Subsequently, Morris water maze experiment, Evans blue staining and western blot of tight junction protein were performed to evaluate the effect of different doses of NBP (40mg/kg, 80mg/kg) on the improvement of cognitive impairment and BBB disruption induced by mBCCAO. Immunofluorescence was employed to examine the changes of pericyte coverage in mBCCAO model and the effect of NBP on pericyte coverage were preliminarily explored. Results mBCCAO surgery led to obvious cognitive impairment and the decrease of whole cerebral blood flow, among which the blood flow in cortex, hippocampus and thalamus brain regions decreased more significantly. High-dose NBP (80 mg/kg) improved long-term cognitive function in mBCCAO rats, alleviated Evans blue leakage and reduced the loss of tight junction proteins (ZO-1, Claudin-5) in the early course of the disease, thereby exerting a protective effect on the blood-brain barrier. No significant changes in pericyte coverage were observed after mBCCAO. Conclusions High-dose NBP improved cognitive function in mBCCAO rats. High-dose NBP protected the integrity of BBB by upregulating TJ protein expression, rather than regulating pericyte coverage ratio. NBP could be a potential drug for the treatment of VCI.

Aim To assess the effects of workplace fun on nurse innovative behaviour and to confirm the intermediary function of affective commitment. Background Employee innovative behaviour has a crucial function in survival and development of an organisation. On the basis of the theory of social exchange, there has been inadequate study of the influence of workplace fun on nurse innovative behaviour mediated by affective commitment. Methods A cross-sectional, descriptive correlational research design was conducted for 331 Chinese nurses from five public hospitals. The measurements were obtained from a questionnaire on workplace fun, affective commitment, nurse innovative behaviour and a sociodemographic datasheet. Descriptive statistics were used to analyse the personal profile, and inferential statistics were used to test hypotheses. Results We identified a positive correlation between workplace fun and nurse innovative behaviour. Affective commitment had a mediating effect. Conclusion Workplace fun and affective commitment can promote nurse innovative behaviour. Implications for nursing management Managers need to provide measures that promote workplace fun and affective commitment to enhance nurse innovative behaviour.

Background: The clinical efficiency of terpenoids in treating human acute lung injury (ALI) is yet to be determined. The lipopolysaccharide-induced rat model of ALI is a well-established and widely used experimental model for studying terpenoids’ effects on ALI. Using a systematic review and meta-analysis, the therapeutic efficiency of terpenoid administration on the lung wet-to-dry weight ratio in rats was investigated.Methods: Using the Cochrane Library, Embase, and PubMed databases, a comprehensive literature search for studies evaluating the therapeutic efficacy of terpenoids on ALI in rats was conducted. The lung wet-to-dry weight ratio was extracted as the main outcome. The quality of the included studies was assessed using the Systematic Review Center for Laboratory Animal Experimentation’s risk of bias tool.Results: In total, 16 studies were included in this meta-analysis. In general, terpenoids significantly lowered the lung wet-to-dry weight ratio when compared with the control vehicle (p = 0.0002; standardized mean difference (SMD): −0.16; 95% confidence interval (CI): −0.24, −0.08). Subgroup analysis revealed that low dose (≤10 μmol/kg) (p < 0.0001; SMD: −0.68; 95% CI: −1.02, −0.34), intraperitoneal injection (p = 0.0002; SMD: −0.43; 95% CI: −0.66, −0.20), diterpenoid (p = 0.004; SMD: −0.13; 95% CI: −0.23, −0.04), and triterpenoid (p = 0.04; SMD: −0.28; 95% CI: −0.54, −0.01) significantly lowered the lung wet-to-dry weight ratio when compared with the control vehicle.Conclusion: A low dose of diterpenoid and triterpenoid administered intraperitoneally is effective in alleviating ALI. This systematic review and meta-analysis provides a valuable mirror for clinical research aiming at the advancement of terpenoids for preventive and therapeutic use.Systematic Review Registration: CRD42022326779

Regeneration of neural tissue is limited following spinal cord injury (SCI). Successful regeneration of injured nerves requires the intrinsic regenerative capability of the neurons and a suitable microenvironment. However, the local microenvironment is damaged, including insufficient intraneural vascularization, prolonged immune responses, overactive immune responses, dysregulated bioenergetic metabolism and terminated bioelectrical conduction. Among them, the immune microenvironment formed by immune cells and cytokines plays a dual role in inflammation and regeneration. Few studies have focused on the role of the immune microenvironment in spinal cord regeneration. Here, we summarize those findings involving various immune cells (neutrophils, monocytes, microglia and T lymphocytes) after SCI. The pathological changes that occur in the local microenvironment and the function of immune cells are described. We also summarize and discuss the current strategies for treating SCI with tissue-engineered biomaterials from the perspective of the immune microenvironment.

Surface electromyography (sEMG) is a kind of valuable bioelectric signal and very potential in the field of human–machine interaction. Ideal interactions require sEMG based patterns recognition not only with high accuracy but also with good rapidity. However, too much real-time feature-related computation will greatly slow down the interaction, especially for multichannel sEMG. To decrease the feature-related time consumption, the paper formulates the feature reduction as an optimization problem, and develops a double-phases particle swarm optimization (PSO) with hybrid coding to solve the problem. In the research, the initial feature data set with 31 kinds of feature is built firstly based on eight subjects’ 16 channels forearm sEMG signals, then PSO is introduced to conduct the feature reduction of 31 × 16 dimensions through the feature and channel optimization in double phases. During the optimization, two improved k-nearest neighbor (KNN) methods such as weighted representation based KNN (WRKNN) and weighted local mean representation based KNN (WLMRKNN) are introduced to classify the gestures, and the classification accuracy is used to evaluate the particles of PSO. Experimental results and comparison analysis show that PSO based feature reduction methods outperform genetic algorithm (GA), ant colony optimization (ACO) and principal component analysis (PCA) based feature reduction methods. With the optimized feature data subset by PSO, WRKNN and WLMRKNN are superior to KNN, quadratic discriminant analysis (QDA), and naive bayes (NB) greatly. The proposed method can be applied in the pattern recognition of high dimensional sEMG with multichannel or high-density channels for the purpose of rapidity and without a decline of accuracy in real-time control. Further, it can be used to reduce the economic cost of the personalized customization equipment through the optimal channels for any subjects in the future.

Polyhedral oligomeric silsesquioxanes (POSS) and γ-glycidoxy propyl trimethoxy silane (KH560) were applied to modify boron nitride (BN) and boron nitride whisker (BNw), and modified BN (m-BN) and m...

High-temperature-resistant magnetic particles/SiCN (C) composite ceramics were prepared by the polymer derivation in this paper. The phase composition, microstructure, electromagnetic wave (EMW) absorption properties and EMW absorption mechanism were studied. The results show that magnetic particles/SiCN (C) composite ceramics have a wider EMW absorption bandwidth as compared to the SiCN (C) composite ceramics. When the thickness was 4 mm, Fe/SiCN (C) composite ceramics had a minimum reflection loss (RLmin) of − 15.7 dB and an effective absorption bandwidth (EAB, RL

To precisely determine the species of a carbapenem-resistantSingle-molecule real-time (SMRT) sequencing was carried out on strain 18091276 to obtain the complete chromosome and plasmid (pCN1276) sequences, and average nucleotide identity (ANI) was used for precise species identification. The ICEs in GenBank with the same integrase structure as ICEThis bacterium wasThe formation of

Consider a discrete-time risk model with dependence structures, where claim sizes are assumed to follow a one-sided linear process whose innovations further obey a so-called bivariate upper tail in...