Summary KC a1.1 regulates smooth muscle contractility by modulating membrane potential, and age‐associated changes in KC a1.1 expression may contribute to the development of motility disorders of the gastrointestinal tract. Sphingolipids (SLs) are important structural components of cellular membranes whose altered composition may affect KC a1.1 expression. Thus, in this study, we examined whether altered SL composition due to aging may affect the contractility of gastric smooth muscle (GSM). We studied changes in ceramide synthases (CerS) and SL levels in the GSM of mice of varying ages and compared them with those in young CerS2‐null mice. The levels of C16‐ and C18‐ceramides, sphinganine, sphingosine, and sphingosine 1‐phosphate were increased, and levels of C22, C24:1 and C24 ceramides were decreased in the GSM of both aged wild‐type and young CerS2‐null mice. The altered SL composition upregulated KC a1.1 and increased KC a1.1 currents, while no change was observed in KC a1.1 channel activity. The upregulation of KC a1.1 impaired intracellular 2+ mobilization and decreased phosphorylated myosin light chain levels, causing GSM contractile dysfunction. Additionally, phosphoinositide 3‐kinase, protein kinase C ζ, c‐Jun N‐terminal kinases, and nuclear factor kappa‐B were found to be involved in KC a1.1 upregulation. Our findings suggest that age‐associated changes in SL composition or CerS2 ablation upregulate KC a1.1 via the phosphoinositide 3‐kinase/protein kinase C ζ/c‐Jun N‐terminal kinases/nuclear factor kappa‐B‐mediated pathway and impair 2+ mobilization, which thereby induces the contractile dysfunction of GSM. CerS2‐null mice exhibited similar effects to aged wild‐type mice; therefore, CerS2‐null mouse models may be utilized for investigating the pathogenesis of aging‐associated motility disorders.
SummaryEndothelial oxidative stress develops with aging and reactive oxygen species impair endothelium‐dependent relaxation (EDR) by decreasing nitric oxide (NO) availability. Endothelial KCa3.1, which contributes to EDR, is upregulated by H2O2. We investigated whether KCa3.1 upregulation compensates for diminished EDR to NO during aging‐related oxidative stress. Previous studies identified that the levels of ceramide synthase 5 (CerS5), sphingosine, and sphingosine 1‐phosphate were increased in aged wild‐type and CerS2 mice. In primary mouse aortic endothelial cells (MAECs) from aged wild‐type and CerS2 null mice, superoxide dismutase (SOD) was upregulated, and catalase and glutathione peroxidase 1 (GPX1) were downregulated, when compared to MAECs from young and age‐matched wild‐type mice. Increased H2O2 levels induced Fyn and extracellular signal‐regulated kinases (ERKs) phosphorylation and KCa3.1 upregulation. Catalase/GPX1 double knockout (catalase−/−/GPX1−/−) upregulated KCa3.1 in MAECs. NO production was decreased in aged wild‐type, CerS2 null, and catalase−/−/GPX1−/− MAECs. However, KCa3.1 activation‐induced, NG‐nitro‐l‐arginine‐, and indomethacin‐resistant EDR was increased without a change in acetylcholine‐induced EDR in aortic rings from aged wild‐type, CerS2 null, and catalase−/−/GPX1−/− mice. CerS5 transfection or exogenous application of sphingosine or sphingosine 1‐phosphate induced similar changes in levels of the antioxidant enzymes and upregulated KCa3.1. Our findings suggest that, during aging‐related oxidative stress, SOD upregulation and downregulation of catalase and GPX1, which occur upon altering the sphingolipid composition or acyl chain length, generate H2O2 and thereby upregulate KCa3.1 expression and function via a H2O2/Fyn‐mediated pathway. Altogether, enhanced KCa3.1 activity may compensate for decreased NO signaling during vascular aging.
Background: Cuproptosis has been recognized as a novel regulatory cell death, which has been confirmed to promote the occurrence and development of tumors. However, whether cuproptosis-related lncRNA has an impact on the prognosis of squamous cell carcinoma of the head and neck (HNSCC) is still unclear.Methods: In total, 501 HNSCC tumor samples and 44 normal were downloaded from the TCGA database. Cuproptosis-related lncRNAs were obtained by co-expressed analysis. We got prognostic lncRNA that was associated with cuproptosis by using univariate Cox regression analysis and LASSO Cox regression. Then we constructed and validated the prognostic signature of HNSCC and analyzed the immune landscape of the signature.Results: The Prognostic Signature is based on 10 cuproptosis-related lncRNAs including AC090587.1, AC004943.2, TTN-AS1, AL162458.1, AC106820.5, AC012313.5, AL132800.1, WDFY3-AS2, CDKN2A-DT, and AL136419.3. The results of overall survival, risk score distribution, and survival status in the low-risk group were better than those in the high-risk group. In addition, all immune checkpoint genes involved were significantly different between the two risk groups (p < 0.05). The risk score was positively correlated with Eosinophils. M0 and M2 phenotype macrophages, mast cells activated, NK cells activated, and negatively related with B cells naive, mast cells resting, plasma cells, CD8T cells, T cells follicular helper, T cells regulatory (Tregs). Consensus clustering was identified in molecular subtypes of HNSC. More high-risk samples concentrated in Cluster1, which had a higher Tumor Immune Dysfunction and Exclusion (TIDE) score and Single Nucleotide Polymorphisms (SNP) alternation than Cluster2.Conclusion: Our study elucidated the correlation between cuproptosis-related lncRNA with prognosis and immune landscape of HNSCC, which may provide references for further research on the exploration of the mechanism and functions of the prognosis for HNSCC.
Considering the nonlinear characteristic of ball screw, a Duffing equation with damping is used to model the nonlinear dynamics of feed system by employing the elastic displacement method. Then by using the tools of phase trajectory map, Poincare section and bifurcation diagram respectively, structure of the proposed model is identified, meanwhile, the properties of bifurcation and chaos are judged. Numerical results show that as the feed system works, the screw nonlinear vibrates. Therefore, the dynamics response of the system cannot be described by a linear dynamics model. In other words, a nonlinear dynamics model must be employed to analyze the dynamic properties of the system. The proposed model has an advantage over the model characterized by a linear dynamics with multiple degrees since the latter is only applied to the system with high stiffness. In addition, the dynamics properties of the feed system are revealed as the stiffness is low or the support at both ends in varied. A test in a NC machine tool verified the validity of the analytic results.
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