A stroma-related lncRNA panel for predicting recurrence and adjuvant chemotherapy benefit in patients with early-stage colon cancer

The heterogeneity in prognoses and chemotherapeutic responses of colon cancer patients with similar clinical features emphasized the necessity for new biomarkers that help to improve the survival prediction and tailor therapies more rationally and precisely. In the present study, we established a s troma-related l ncRNA s ignature (SLS) based on 52 lncRNAs to comprehensively predict clinical outcome. The SLS model could not only distinguish patients with different recurrence and mortality risks through univariate analysis, but also served as an independent factor for relapse-free and overall survival. Compared with the conventionally used TNM stage system, the SLS model clearly possessed higher predictive accuracy. Moreover, the SLS model also effectively screened chemotherapy-responsive patients, as only patients in the low-SLS group could benefit from adjuvant chemotherapy. The following cell infiltration and competing endogenous RNA (ceRNA) network functional analyses further confirmed the association between the SLS model and stromal activation-related biological processes. Additionally, this study also identified three phenotypically distinct colon cancer subtypes that varied in clinical outcome and chemotherapy benefits. In conclusion, our SLS model may be a significant determinant of survival and chemotherapeutic decision-making in colon cancer and may have a strong clinical transformation value.     

Atomically Dispersed Mo Supported on Metallic Co9S8 Nanoflakes as an Advanced Noble‐Metal‐Free Bifunctional Water Splitting Catalyst Working in Universal pH Conditions

Water splitting requires development of cost‐effective multifunctional materials that can catalyze both the hydrogen evolution reaction (HER) and the oxygen evolution reaction (OER) efficiently. Currently, the OER relies on the noble‐metal catalysts; since with other catalysts, its operation environment is greatly limited in alkaline conditions. Herein, an advanced water oxidation catalyst based on metallic Co₉S₈ decorated with single‐atomic Mo (0.99 wt%) is synthesized (Mo‐Co₉S₈@C). It exhibits pronounced water oxidization activity in acid, alkali, and neutral media by showing positive onset potentials of 200, 90, and 290 mV, respectively, which manifests the best Co₉S₈‐based single‐atom Mo catalyst till now. Moreover, it also demonstrates excellent HER performance over a wide pH range. Consequently, the catalyst even outperforms noble metal Pt/IrO₂‐based catalysts for overall water splitting (only requiring 1.68 V in acid, and 1.56 V in alkaline). Impressively, it works under a current density of 10 mA cm^?2 with no obvious decay during a 24 h (0.5 m H₂SO₄) and 72 h (1.0 m KOH) durability experiment. Density functional theory (DFT) simulations reveal that the synergistic effects of atomically dispersed Mo with Co‐containing substrates can efficiently alter the binding energies of adsorbed intermediate species and decrease the overpotentials of the water splitting.     

In Situ Conversion of Cu3P Nanowires to Mixed Ion/Electron‐Conducting Skeleton for Homogeneous Lithium Deposition

The introduction of 3D wettable current collectors is one of the practical strategies toward realizing high reversibility of lithium (Li) metal anodes, yet its effect is usually insufficient owing to single electron‐conductive skeleton. Here, homogeneous Li deposition behavior and enhanced Coulombic efficiency is reported for electrochemically lithiated Cu₃P nanowires, owing to the formation of a mixed ion/electron‐conducting skeleton (MIECS). In particular, by evaluating the Gibbs free energy change, the possible chemical reaction between Cu₃P and molten Li is used to construct a MIECS containing Li₃P and Cu–Li alloy phase. The successful conversion of Cu₃P nanowires to Li₃P and Cu–Li alloy nanocomposite not only greatly reduces the surface energy between molten Li and Cu₃P, but also induces uniform Li stripping/plating behavior via balanced ion/electron transport. Thus, the as‐obtained Li@MIECS composite anode displays superior cycling stability in both symmetric cells and full cells. This work provides a promising option for the preparation of high‐performance composite Li anodes containing MIECS by thermally pre‐storing Li.     

脐血管前置产前超声表现及临床效果分析

目的:研究脐血管前置产前超声表现及临床效果。方法:回顾性分析2017年1月至2018年12月期间本院收治的34例脐血管前置孕妇临床资料,均进行产前超声检查,将结果与产后病理结果进行比较,分析超声表现。结果:同产后病理检查结果相比较,34例孕妇的产前超声诊断准确率、误诊率分别为97.06%、2.94%,数据对比差异无统计学意义(P>0.05),产前超声检查显示的胎盘及脐带入口情况主要为帆状胎盘、脐带胎盘边缘附着、边缘性前置胎盘、低置性前置胎盘、副胎盘等。结论:产前超声检查具有较高的脐血管前置诊断准确率,可为临床分娩结局的改善提供指导,适合推广应用在临床中。     

白蛋白静脉滴注联合茵栀黄颗粒治疗新生儿黄疸血清 AKP、TBA、 FFA、γ-GT、HS-CRP的影响

目的:研究白蛋白静脉滴注联合茵栀黄颗粒对新生儿黄疸血清碱性磷酸酶(alkaline phosphatase,AKP)、总胆汁酸(totalbileacids,TBA)、游离脂肪酸(free fatty acid,FFA)、γ-谷氨酰基转移酶(γ-glutamyltransferase,γ-GT)、超敏C-反应蛋白(hypersensitive C-reactive protein, HS-CRP)的影响。方法:选择2016年1月～2019年1月我院收治的95例新生儿病理性黄疸患儿,随机分为两组。对照组服用茵栀黄颗粒治疗,观察组在服用茵栀黄的基础上静脉滴注白蛋白治疗。检测两组的血清间接胆红素(indirectreacting bilirubin,,IBIL)、总胆红素(total bilirubin,TBIL)和AKP、TBA、FFA、y-GT、HS-CRP水平。结果:观察组的有效率明显高于对照组(P0.05);两组治疗后的血清IBIL、TBIL水平明显降低(P0.05),观察组的IBIL、TBIL水平明显低于对照组(P0.05);两组治疗后的血清AKP、TBA、FFA、γ-GT、HS-CRP水平明显降低(P0.05),观察组的血清AKP、TBA、FFA、γ-GT、HS-CRP水平明显低于对照组(P0.05)。结论:白蛋白静脉滴注联合茵栀黄颗粒对新生儿黄疸的治疗效果良好,有助于促进血清胆红素和其他血清学相关指标恢复正常,且安全性好。     

门冬胰岛素联合甘精胰岛素对新诊断2型糖尿病患者炎性因子、血糖及血脂水平的影响

目的:探讨门冬胰岛素联合甘精胰岛素对新诊断2型糖尿病患者血清炎性因子、血糖及血脂水平的影响。方法:选取我院2017年3月～2019年3月收治的100例新诊断2型糖尿病患者,将其随机分为研究组和对照组,每组50例患者。对照组患者给予门冬胰岛素治疗,研究组患者给予门冬胰岛素联合甘精胰岛素治疗,对比两组患者治疗前后血清炎性因子、血糖及血脂水平的变化。结果:治疗后,两组患者糖化血红蛋白(hemoglobin A1c,HbA1c)、空腹血糖(fasting plasma glucose,FPG)、餐后2h血糖(2h postprandial blod glucose,2hPBG)、血清肿瘤坏死因子(Tumor necrosis factor,TNF-α)、高敏C反应蛋白(high-sensitive C-reactive protein,hs-CRP)水平均较治疗前明显降低(P0.05),且研究组患者以上指标均显著低于对照组(P0.05);两组患者治疗后总胆固醇(Total Cholesterol,TC)、甘油三酯(Triglyceride,TG)、低密度脂蛋白胆固醇(Low-density lipoprotein cholesterol,LDL-C)水平均较治疗前明显降低,高密度脂蛋白胆固醇(High-density lipoprotein cholesterol,HDL-C)明显升高(P0.05),且研究组以上指标的改善程度均优于对照组(P0.05)。研究组患者的胰岛素用量明显少于对照组(P0.05),患者血糖首次达标时间明显短于对照组(P0.05)。结论:门冬胰岛素联合甘精胰岛素适用于新诊断2型糖尿病患者,可有效降低血糖、血脂、血清TNF-α和hs-CRP水平。     

羽扇豆醇通过抑制RhoA-ROCK1信号通路抑制结肠癌细胞增殖

该文探讨了羽扇豆醇(Lupeol)对人结肠癌HCT116和SW620细胞增殖的影响及相关作用机制。使用不同浓度的Lupeol处理HCT116和SW620细胞后,用MTT法检测细胞活性,CCK8法检测细胞增殖能力,平板克隆实验检测细胞克隆形成能力,流式细胞术检测细胞周期和细胞凋亡,(quantitative real-time PCR,qPCR)和Western blot检测相应mRNA和蛋白表达水平,免疫荧光检测β-Catenin蛋白细胞内分布情况。通过构建shRNA敲低两种结肠癌细胞中RhoA,进一步研究Lupeol影响细胞增殖的分子机制。结果显示,Lupeol处理后,HCT116和SW620细胞增殖能力明显下降,克隆形成能力受到抑制,细胞周期阻滞于G0/G1期,细胞内RhoA、ROCK1、β-Catenin、Cyclin D1 mRNA和蛋白表达水平均显著下降,β-Catenin蛋白胞质和胞膜上分布减少。敲低RhoA后抑制了细胞增殖,同时使得RhoA-ROCK1-β-Catenin信号通路蛋白受到抑制,β-Catenin蛋白胞质和胞膜上分布减少。综上所述,Lupeol可通过抑制RhoA-ROCK1信号通路,抑制β-Catenin蛋白表达,进而抑制HCT116和SW620细胞增殖,Lupeol有望成为临床结肠癌治疗的新药物。     

Cytoskeleton stiffness regulates cellular senescence and innate immune response in Hutchinson–Gilford Progeria Syndrome

Hutchinson–Gilford progeria syndrome (HGPS) is caused by the accumulation of mutant prelamin A (progerin) in the nuclear lamina, resulting in increased nuclear stiffness and abnormal nuclear architecture. Nuclear mechanics are tightly coupled to cytoskeletal mechanics via lamin A/C. However, the role of cytoskeletal/nuclear mechanical properties in mediating cellular senescence and the relationship between cytoskeletal stiffness, nuclear abnormalities, and senescent phenotypes remain largely unknown. Here, using muscle‐derived mesenchymal stromal/stem cells (MSCs) from the Zmpste24^?/? (Z24^?/?) mouse (a model for HGPS) and human HGPS fibroblasts, we investigated the mechanical mechanism of progerin‐induced cellular senescence, involving the role and interaction of mechanical sensors RhoA and Sun1/2 in regulating F‐actin cytoskeleton stiffness, nuclear blebbing, micronuclei formation, and the innate immune response. We observed that increased cytoskeletal stiffness and RhoA activation in progeria cells were directly coupled with increased nuclear blebbing, Sun2 expression, and micronuclei‐induced cGAS‐Sting activation, part of the innate immune response. Expression of constitutively active RhoA promoted, while the inhibition of RhoA/ROCK reduced cytoskeletal stiffness, Sun2 expression, the innate immune response, and cellular senescence. Silencing of Sun2 expression by siRNA also repressed RhoA activation, cytoskeletal stiffness and cellular senescence. Treatment of Zmpste24^?/? mice with a RhoA inhibitor repressed cellular senescence and improved muscle regeneration. These results reveal novel mechanical roles and correlation of cytoskeletal/nuclear stiffness, RhoA, Sun2, and the innate immune response in promoting aging and cellular senescence in HGPS progeria.     

Statistical and multivariate statistical techniques to trace the sources and affecting factors of groundwater pollution in a rapidly growing city on the Chinese Loess Plateau

Abstract

Groundwater quality is defined by various water quality parameters. The aims of the research are to understand the relationships among different groundwater quality parameters and to trace the sources and affecting factors of groundwater pollution via statistical and multivariate statistical techniques. The 36 shallow groundwater samples collected from shallow pumping wells in Yan’an City were analyzed for various water quality parameters. Correlation analysis, principal component analysis (PCA), hierarchical cluster analysis (HCA), and multivariable linear regressions (MLR) were jointly used in this study to explore the sources and affecting factors of groundwater pollution. The study reveals that the mineral dissolution/precipitation and anthropogenic input are the main sources of the physicochemical indices and trace elements in the groundwater. Groundwater chemistry is predominantly regulated by natural processes such as dissolution of carbonates, silicates, and evaporates and soil leaching, followed by human activities as the second factor. Climatic factors and land use types are also important in affecting groundwater chemistry. Cl^– is the greatest contributor to the overall groundwater quality revealed by the two regression models. The first model which has eight dependent variables is high in model reliability and stability, and is recommended for the overall groundwater quality prediction. The study is helpful for understanding groundwater quality variation in urban areas.