Influence of initial check, information exchange, final accuracy check, reaction information nursing on the psychology of elderly with lung cancer

BACKGROUND As one of the fatal diseases with high incidence,lung cancer has seriously endangered public health and safety.Elderly patients usually have poor self-care and are more likely to show a series of psychological problems.AIM To investigate the effectiveness of the initial check,information exchange,final accuracy check,reaction(IIFAR)information care model on the mental health status of elderly patients with lung cancer.METHODS This study is a single-centre study.We randomly recruited 60 elderly patients with lung cancer who attended our hospital from January 2021 to January 2022.These elderly patients with lung cancer were randomly divided into two groups,with the control group taking the conventional propaganda and education and the observation group taking the IIFAR information care model based on the conventional care protocol.The differences in psychological distress,anxiety and depression,life quality,fatigue,and the locus of control in psychology were compared between these two groups,and the causes of psychological distress were analyzed.RESULTS After the intervention,Distress Thermometer,Hospital Anxiety and Depression Scale(HADS)for anxiety and the HADS for depression,Revised Piper’s Fatigue Scale,and Chance Health Locus of Control scores were lower in the observation group compared to the pre-intervention period in the same group and were significantly lower in the observation group compared to those of the control group(P<0.05).After the intervention,Quality of Life Questionnaire Core 30(QLQ-C30),Internal Health Locus of Control,and Powerful Others Health Locus of Control scores were significantly higher in the observation and the control groups compared to the pre-intervention period in their same group,and QLQ-C30 scores were significantly higher in the observation group compared to those of the control group(P<0.05).CONCLUSION The IIFAR information care model can help elderly patients with lung cancer by reducing their anxiety and depression,psychological distress,and fatigue,improving their tendencies on the locus of control in psychology,and enhancing their life qualities.

Numerical simulation for the initial state of avalanche in polydisperse particle systems

Numerical simulation is employed to investigate the initial state of avalanche in polydisperse particle systems.Nucleation and propagation processes are illustrated for pentadisperse and triadisperse particle systems,respectively.In these processes,particles involved in the avalanche grow slowly in the early stage and explosively in the later stage,which is clearly different from the continuous and steady growth trend in the monodisperse system.By examining the avalanche propagation,the number growth of particles involved in the avalanche and the slope of the number growth,the initial state can be divided into three stages:T1(nucleation stage),T2(propagation stage),T3(overall avalanche stage).We focus on the characteristics of the avalanche in the T2 stage,and find that propagation distances increase almost linearly in both axial and radial directions in polydisperse systems.We also consider the distribution characteristics of the average coordination number and average velocity for the moving particles.The results support that the polydisperse particle systems are more stable in the T2 stage.

Impact of initial fluctuations and nuclear deformations in isobar collisions

Relativistic isobar^(96)_(44)Ru+^(96)_(44)Ru and^(96)_(40)Zr+^(96)_(40)Zrcollisions have revealed intricate differences in their nuclear size and shape,inspiring unconventional studies of nuclear structure using relativistic heavy ion collisions.In this study,we investigate the relative differences in the mean multiplicityR_(<Nch>)and the secondR_(ε2)and third-order eccentricityR_(ε3)between isobar collisions using initial state Glauber models.It is found that initial fluctuations and nuclear deformations have negligible effects on R_(<Nch>)in most central collisions,while both are important for the R_(ε2)and R_(ε3),the degree of which is sensitive to the underlying nucleonic or sub-nucleonic degree of freedom.These features,compared to real data,may probe the particle production mechanism and the physics underlying nuclear structure.

Mg-doped,carbon-coated,and prelithiated SiO_(x) as anode materials with improved initial Coulombic efficiency for lithium-ion batteries

Silicon suboxide(SiO_(x),x≈1)is promising in serving as an anode material for lithium-ion batteries with high capacity,but it has a low initial Coulombic efficiency(ICE)due to the irreversible formation of lithium silicates during the first cycle.In this work,we modify SiO_(x) by solid-phase Mg doping reaction using low-cost Mg powder as a reducing agent.We show that Mg reduces SiO_(2) in SiO_(x) to Si and forms MgSiO_(3) or Mg_(2)SiO_(4).The MgSiO_(3) or Mg_(2)SiO_(4) are mainly distributed on the surface of SiO_(x),which suppresses the irreversible lithium-ion loss and enhances the ICE of SiO_(x).However,the formation of MgSiO_(3) or Mg_(2)SiO_(4) also sacrifices the capacity of SiO_(x).Therefore,by controlling the reaction process between Mg and SiO_(x),we can tune the phase composition,proportion,and morphology of the Mg-doped SiO_(x) and manipulate the performance.We obtain samples with a capacity of 1226 mAh g^(–1) and an ICE of 84.12%,which show significant improvement over carbon-coated SiO_(x) without Mg doping.By the synergistical modification of both Mg doping and prelithiation,the capacity of SiO_(x) is further increased to 1477 mAh g^(–1) with a minimal compromise in the ICE(83.77%).

An Initial Perturbation Method for the Multiscale Singular Vector in Global Ensemble Prediction

Ensemble prediction is widely used to represent the uncertainty of single deterministic Numerical Weather Prediction(NWP) caused by errors in initial conditions(ICs). The traditional Singular Vector(SV) initial perturbation method tends only to capture synoptic scale initial uncertainty rather than mesoscale uncertainty in global ensemble prediction. To address this issue, a multiscale SV initial perturbation method based on the China Meteorological Administration Global Ensemble Prediction System(CMA-GEPS) is proposed to quantify multiscale initial uncertainty. The multiscale SV initial perturbation approach entails calculating multiscale SVs at different resolutions with multiple linearized physical processes to capture fast-growing perturbations from mesoscale to synoptic scale in target areas and combining these SVs by using a Gaussian sampling method with amplitude coefficients to generate initial perturbations. Following that, the energy norm,energy spectrum, and structure of multiscale SVs and their impact on GEPS are analyzed based on a batch experiment in different seasons. The results show that the multiscale SV initial perturbations can possess more energy and capture more mesoscale uncertainties than the traditional single-SV method. Meanwhile, multiscale SV initial perturbations can reflect the strongest dynamical instability in target areas. Their performances in global ensemble prediction when compared to single-scale SVs are shown to(i) improve the relationship between the ensemble spread and the root-mean-square error and(ii) provide a better probability forecast skill for atmospheric circulation during the late forecast period and for short-to medium-range precipitation. This study provides scientific evidence and application foundations for the design and development of a multiscale SV initial perturbation method for the GEPS.

Selenga River human dispersal path in Initial Upper Paleolithic

Here,we consider earlier Upper Paleolithic sites in the Selenga River Basin,the main fluvial input of Lake Baikal that flows through northern Mongolia and the southwestern Transbaikal region of Russia.Lithic industries from these sites can be attributed to the laminar Initial Upper Paleolithic(IUP)technocomplex,widespread in southern Siberia and Central Asia.IUP industries appear in the Selenga Basin about 45 kaBP cal.Aspects of regional typological variability and the transport of exotic raw materials over long distances indicate that these populations participated in developed exchange networks and employed high mobility targeting the acquisition of necessary raw materials.Two site types are present:quarry-workshops in northern Mongolia and generalized activity settlements in the southwestern Transbaikal.Although faunal data are limited,we interpret available information as indicating a specialization on hunting,focusing on migrating steppe game species.The distribution of sites in the mid-altitudes and landscapes of the Selenga-Orkhon geographical region and the geomorphological homogeneity of this territory also supported interregional human moves during the IUP.

Effects of Initial and Boundary Conditions on Heavy Rainfall Simulation over the Yellow Sea and the Korean Peninsula:Comparison of ECMWF and NCEP Analysis Data Effects and Verification with Dropsonde Observation

This study evaluated the simulation performance of mesoscale convective system(MCS)-induced precipitation,focusing on three selected cases that originated from the Yellow Sea and propagated toward the Korean Peninsula.The evaluation was conducted for the European Centre for Medium-Range Weather Forecasts(ECMWF)and National Centers for Environmental Prediction(NCEP)analysis data,as well as the simulation result using them as initial and lateral boundary conditions for the Weather Research and Forecasting model.Particularly,temperature and humidity profiles from 3D dropsonde observations from the National Center for Meteorological Science of the Korea Meteorological Administration served as validation data.Results showed that the ECMWF analysis consistently had smaller errors compared to the NCEP analysis,which exhibited a cold and dry bias in the lower levels below 850 hPa.The model,in terms of the precipitation simulations,particularly for high-intensity precipitation over the Yellow Sea,demonstrated higher accuracy when applying ECMWF analysis data as the initial condition.This advantage also positively influenced the simulation of rainfall events on the Korean Peninsula by reasonably inducing convective-favorable thermodynamic features(i.e.,warm and humid lower-level atmosphere)over the Yellow Sea.In conclusion,this study provides specific information about two global analysis datasets and their impacts on MCS-induced heavy rainfall simulation by employing dropsonde observation data.Furthermore,it suggests the need to enhance the initial field for MCS-induced heavy rainfall simulation and the applicability of assimilating dropsonde data for this purpose in the future.

An improved initial rotor position estimation method using high-frequency pulsating voltage injection for PMSM

High frequency pulsating voltage injection method is a good candidate for detecting the initial rotor position of permanent magnet synchronous motor.However,traditional methods require a large number of filters,which leads to the deterioration of system stability and dynamic performance.In order to solve these problems,a new signal demodulation method is proposed in this paper.The proposed new method can directly obtain the amplitude of high-frequency current,thus eliminating the use of filters,improving system stability and dynamic performance and saving the work of adjusting filter parameters.In addition,a new magnetic polarity detection method is proposed,which is robust to current measurement noise.Finally,experiments verify the effectiveness of the method.

Irregular initial solidification by mold thermal monitoring in the continuous casting of steels:A review

Occasional irregular initial solidification phenomena,including stickers,deep oscillation marks,depressions,and surface cracks of strand shells in continuous casting molds,are important limitations for developing the high-efficiency continuous casting of steels.The application of mold thermal monitoring(MTM) systems,which use thermocouples to detect and respond to temperature variations in molds,has become an effective method to address irregular initial solidification phenomena.Such systems are widely applied in numerous steel companies for sticker breakout prediction.However,monitoring the surface defects of strands remains immature.Hence,indepth research is necessary to utilize the potential advantages and comprehensive monitoring of MTM systems.This paper summarizes what is included in the irregular initial solidification phenomena and systematically reviews the current state of research on these phenomena by the MTM systems.Furthermore,the influences of mold slag behavior on monitoring these phenomena are analyzed.Finally,the remaining problems of the formation mechanisms and investigations of irregular initial solidification phenomena are discussed,and future research directions are proposed.

Multi-Level Image Segmentation Combining Chaotic Initialized Chimp Optimization Algorithm and Cauchy Mutation

To enhance the diversity and distribution uniformity of initial population,as well as to avoid local extrema in the Chimp Optimization Algorithm(CHOA),this paper improves the CHOA based on chaos initialization and Cauchy mutation.First,Sin chaos is introduced to improve the random population initialization scheme of the CHOA,which not only guarantees the diversity of the population,but also enhances the distribution uniformity of the initial population.Next,Cauchy mutation is added to optimize the global search ability of the CHOA in the process of position(threshold)updating to avoid the CHOA falling into local optima.Finally,an improved CHOA was formed through the combination of chaos initialization and Cauchy mutation(CICMCHOA),then taking fuzzy Kapur as the objective function,this paper applied CICMCHOA to natural and medical image segmentation,and compared it with four algorithms,including the improved Satin Bowerbird optimizer(ISBO),Cuckoo Search(ICS),etc.The experimental results deriving from visual and specific indicators demonstrate that CICMCHOA delivers superior segmentation effects in image segmentation.

Impact of Initial Soil Conditions on Soil Hydrothermal and Surface Energy Fluxes in the Permafrost Region of the Tibetan Plateau

Accurate initial soil conditions play a crucial role in simulating soil hydrothermal and surface energy fluxes in land surface process modeling.This study emphasized the influence of the initial soil temperature(ST)and soil moisture(SM)conditions on a land surface energy and water simulation in the permafrost region in the Tibetan Plateau(TP)using the Community Land Model version 5.0(CLM5.0).The results indicate that the default initial schemes for ST and SM in CLM5.0 were simplistic,and inaccurately represented the soil characteristics of permafrost in the TP which led to underestimating ST during the freezing period while overestimating ST and underestimating SLW during the thawing period at the XDT site.Applying the long-term spin-up method to obtain initial soil conditions has only led to limited improvement in simulating soil hydrothermal and surface energy fluxes.The modified initial soil schemes proposed in this study comprehensively incorporate the characteristics of permafrost,which coexists with soil liquid water(SLW),and soil ice(SI)when the ST is below freezing temperature,effectively enhancing the accuracy of the simulated soil hydrothermal and surface energy fluxes.Consequently,the modified initial soil schemes greatly improved upon the results achieved through the long-term spin-up method.Three modified initial soil schemes experiments resulted in a 64%,88%,and 77%reduction in the average mean bias error(MBE)of ST,and a 13%,21%,and 19%reduction in the average root-mean-square error(RMSE)of SLW compared to the default simulation results.Also,the average MBE of net radiation was reduced by 7%,22%,and 21%.

Periorbital purpura can be the only initial symptom of primary light chain amyloidosis:A case report

BACKGROUND Primary light chain amyloidosis is a rare and complex disease with complex clinical features and is highly susceptible to misdiagnosis and underdiagnosis in the early stages.CASE SUMMARY We report a case of a 47-year-old female patient whose only initial symptom was periorbital purpura,which was not taken seriously enough.As the disease progressed,pleural effusion gradually appeared,and after systematic diagnosis and treatment,she was diagnosed with“primary light chain amyloidosis”.She achieved rapid hematological remission after treatment with a daratumumab+bortezomib+cyclophosphamide+dexamethasone regimen.CONCLUSION Periorbital purpura can be the only initial symptom of primary light chain amyloidosis;we should pay attention to the cases where the initial clinical symptoms are only periorbital purpura.

A Situational Awareness Method for Initial Insulation Fault of Distribution Network Based on Multi-Feature Index Comprehensive Evaluation

Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution inspection.In order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed.Firstly,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management system.Secondly,considering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified according to the evaluation method.Then,principal component analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was trained.The optimal parameter combination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was constructed.Finally,the trained multi-class SVM was used to predict 6 kinds of situation level prediction samples.The results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution and inspection for accurately sensing the insulation fault situation.The correctness and effectiveness of this method are verified.

Effect of Size and Initial Water Content on the Effective Diffusion Coefficient during Convective Drying of Sweet Potato Cut into Cubic and Cylindrical Shapes

In this article, we investigated the influence of size and initial water content on the effective diffusion coefficient of sweet potatoes samples cut into cubic and cylindrical shapes. The sizes of the cubic samples are 0.5, 1, 1.5, 1.75, 2, 2.5 and 3 cm edge with a respective initial water content of 2.7, 3.76, 3.48, 2.68, 3.28, 2.17 and 2.29 kg/kgms. For cylindrical samples, the radius is set at 0.5 cm and sample heights are 1, 1.5, 2, 2.5, 3, 3.5 and 4 cm with respective water contents of 2.2, 3.19, 2.85, 2.1, 2.17, 2.39 and 2.03 kg/kgms. The effective diffusion coefficients of cubic samples are of the order of 10−10 and 10−9 m2∙s−1 grew with sample edge. As for the cylindrical samples, the effective diffusion coefficients were of the order of 10−9 m2∙s−1 and there was no linear correlation between cylinder height and their effective diffusion coefficient. As for the examination of the initial water content on the effective diffusion coefficient, it turned out that the initial water content had no influence on the effective diffusion coefficient of the sweet potato samples.

miR-519b-3p调控IL-6/STAT3通路对宫颈癌细胞凋亡、迁移、侵袭的影响

目的探讨miR-519b-3p调控IL-6/信号转导和转录激活因子3(STAT3)通路对宫颈癌细胞(SiHa)凋亡、迁移、侵袭的影响。方法qRT-PCR检测miR-519b-3p在宫颈癌组织中的表达。SiHa细胞分为miR-NC组、miR-519b-3p组、miR-NC+RhIL-6组、miR-519b-3p+RhIL-6组。流式细胞术评估SiHa细胞凋亡率,Transwell实验检测细胞迁移和侵袭情况。Western blotting检测B细胞淋巴瘤-2基因(Bcl-2)、E-钙黏蛋白(E-cadherin)、N-cadherin、Bcl相关x蛋白(Bax)、STAT3和p-STAT3蛋白水平。结果与癌旁组织比较,宫颈癌组织miR-519b-3p表达下调(P<0.05)。SiHa细胞凋亡率、Bax和E-cadherin蛋白水平miR-519b-3p组高于miR-NC组,miR-NC+RhIL-6组低于miR-NC组,miR-519b-3p+RhIL-6组低于miR-519b-3p组(P<0.05)。SiHa细胞迁移数、侵袭数、Bcl-2、N-cadherin、p-STAT3蛋白水平miR-519b-3p组低于miR-NC组,miR-NC+RhIL-6组高于miR-NC组,miR-519b-3p+RhIL-6组高于miR-519b-3p组(P<0.05)。结论miR-519b-3p通过抑制IL-6/STAT3通路来抑制宫颈癌细胞迁移和侵袭,并增加细胞凋亡。

gga-miR-146b-5p在鸡肌肉和脂肪组织中的表达及其靶基因的生物信息学分析

为初步阐明gga-miR-146b-5p对优质肉鸡脂肪沉积和肌肉发育的调控作用,采用荧光定量PCR(RT-qPCR)检测gga-miR-146b-5p在不同组织、成肌细胞和脂肪细胞中的表达,并对靶基因进行生物信息学分析。结果表明,gga-miR-146b-5p在肝脏、腹脂、腿肌组织、成肌细胞和脂肪细胞中均有较高表达。在肝脏组织中,gga-miR-146b-5p在16周性连锁矮小鸡S3系鸡中的表达显著高于隐性白羽(RR)鸡,具有显著的品种差异性,且2个品种16周的表达均显著高于其他4个发育时期;在腹脂组织中,gga-miR-146b-5p在2周时表达具有显著的品种差异,RR鸡的表达显著高于S3系鸡;在腿肌组织中,gga-miR-146b-5p在16周时S3鸡的表达显著高于RR鸡。在脂肪细胞中,gga-miR-146b-5p在诱导分化4 d后的表达显著高于增殖期;在成肌细胞中,gga-miR-146b-5p的表达随分化时间的延长而升高,分化5 d后的表达显著高于增殖期。靶基因的GO和KEGG结果表明LAPTM5和IMPAD1分别是gga-miR-146b-5p调控肌肉发育和脂肪代谢的预测靶基因。本试验结果为进一步研究gga-miR-146b-5p在鸡脂肪沉积和肌肉发育中的作用奠定了基础。

食管鳞状细胞癌外泌体miR-181b-5p通过靶向抑制PTEN促进肿瘤相关巨噬细胞极化

目的:探究食管鳞状细胞癌外泌体miR-181b-5p对M2型巨噬细胞极化的影响及机制。方法:提取并鉴定食管鳞状细胞癌外泌体,qRT-PCR检测miR-181b-5p在食管鳞状癌细胞及其外泌体中的表达。M0型巨噬细胞分为PBS组、HEEC exo组、Eca-109 exo组、miR-NC exo组、miR-181b-5p exo组、miR-NC组、miR-181b-5p mimic组、si-NC组、si-PTEN组、miR-181b-5p exo+PTEN组,qRT-PCR检测各组细胞中CD163、CD206、iNOS、TNF-α表达。双荧光素酶报告基因实验验证miR-181b-5p和PTEN的靶向关系。结果:miR-181b-5p在食管鳞状癌细胞TE-13、TE-12、TE-10、Eca-109、KYSE30及其外泌体中显著高表达(P<0.001)。相比于miR-NC组,miR-181b-5p mimic组细胞CD163和CD206表达显著上调(P<0.001),iNOS和TNF-α表达显著下调(P<0.001)。双荧光素酶报告基因结果显示PTEN为miR-181b-5p的靶基因。相比于si-NC组,si-PTEN组细胞CD163和CD206表达显著上调(P<0.001),iNOS和TNF-α表达显著下调(P<0.001)。相比于PBS组,Eca-109 exo组细胞CD163和CD206表达显著上调(P<0.001),而iNOS和TNF-α表达显著下调(P<0.001)。相比于miR-NC exo组,miR-181b-5p exo组细胞CD163和CD206表达显著上调(P<0.001),而iNOS和TNF-α表达显著下调(P<0.001)。相比于miR-181b-5p exo组,miR-181b-5p exo+PTEN组CD163和CD206表达显著下调(P<0.001),而iNOS和TNF-α表达显著上调(P<0.001)。结论:外泌体miR-181b-5p抑制PTEN表达而促进M2型巨噬细胞极化。

胃癌患者血清miR-125b-5p、miR-144、miR-93表达水平与病理特征及预后的关系

目的研究胃癌患者血清微小RNA(miR)-125b-5p、miR-144、miR-93表达水平与病理特征及预后的关系。方法回顾性选取2018年7月至2019年12月西安医学院第一附属医院收治的胃癌患者作为恶性组(80例),另选取该院同期收治的胃部良性病变患者作为良性组(93例)。统计两组血清miR-125b-5p、miR-144、miR-93表达水平,比较不同病理特征胃癌患者血清miR-125b-5p、miR-144、miR-93表达水平。胃癌患者随访3年,根据患者不同预后情况将其分为死亡组和存活组,比较死亡组和存活组血清miR-125b-5p、miR-144、miR-93表达水平。绘制受试者工作特征(ROC)曲线分析血清miR-125b-5p、miR-144、miR-93表达水平单独及三者联合检测对胃癌患者预后的预测价值。结果恶性组血清miR-125b-5p、miR-93表达水平均高于良性组,血清miR-144表达水平低于良性组,差异均有统计学意义(P<0.05)。不同TNM分期、分化程度、淋巴结转移情况、腹膜种植转移情况患者miR-125b-5p表达水平比较,差异均有统计学意义(P<0.05)。不同肿瘤最大径、TNM分期、分化程度及淋巴结转移情况、腹膜种植转移情况、脉管浸润患者血清miR-144、miR-93表达水平比较,差异均有统计学意义(P<0.05)。死亡组纳入33例患者,存活组纳入47例患者。死亡组血清miR-125b-5p、miR-93表达水平均高于存活组,miR-144表达水平低于存活组,差异均有统计学意义(P<0.05)。ROC曲线分析结果显示,血清miR-125b-5p、miR-144、miR-93单独检测预测胃癌患者预后的曲线下面积分别为0.737、0.757、0.738,均低于三者联合检测的0.887(Z=2.123、2.362、2.308,P<0.05)。结论胃癌患者、胃部良性病变患者及不同病理特征、不同预后胃癌患者血清miR-125b-5p、miR-144、miR-93表达水平存在明显差异,血清miR-125b-5p、miR-144、miR-93联合对胃癌患者预后具有较好的预测价值,有望成为预测胃癌患者预后的标志物。

滋金补水膏对慢性阻塞性肺疾病模型大鼠的治疗作用及对lncRNAPVT1、miR-30b-5p表达的影响

【目的】探讨滋金补水膏对慢性阻塞性肺疾病(COPD)模型大鼠的治疗作用及机制。【方法】将96只大鼠随机分为正常组,模型组,滋金补水膏低、中、高剂量组,盐酸氨溴索组、滋金补水膏高剂量+pcDNA组,滋金补水膏高剂量+pcDNA-人浆细胞瘤转化迁移基因1(PVT1)组,每组12只。除正常组外,其他各组大鼠采用气道滴注脂多糖(LPS)联合烟雾暴露法构建COPD模型。建模成功后,进行给药干预。给药结束后,采用酶联免疫吸附分析(ELISA)检测大鼠血清中白细胞介素6(IL-6)、肿瘤坏死因子α(TNF-α)水平;流式细胞术检测大鼠外周血中辅助性T细胞17/调节性T细胞(Th17/Treg)水平,苏木素-伊红(HE)染色法观察肺组织病理变化,实时定量聚合酶链反应(qRT-PCR)法检测血清和肺组织中长链非编码RNA(lncRNA)PVT1、miR-30b-5p表达,Western Blot法检测肺组织中维甲酸相关孤核受体γt(RORγt)、叉头框蛋白P3(Foxp3)蛋白表达,双荧光素酶报告基因实验验证lncRNA PVT1与miR-30b-5p的关系。【结果】与正常组比较,模型组肺泡间隔变大,支气管周围有大量炎症细胞浸润,Treg细胞比例、miR-30b-5p表达水平、Foxp3蛋白表达水平降低,IL-6、TNF-α水平,Th17细胞比例、Th17/Treg比值,lncRNA PVT1表达水平,RORγt蛋白表达水平升高(均P<0.05);与模型组比较,滋金补水膏低、中、高剂量组及盐酸氨溴索组大鼠肺组织病理损伤减轻、Treg细胞比例、miR-30b-5p表达水平、Foxp3蛋白表达水平升高,IL-6、TNF-α水平,Th17细胞比例,Th17/Treg比值,lncRNA PVT1表达水平,RORγt蛋白表达水平降低(均P<0.05)。lncRNA PVT1靶向调控miR-30b-5p表达。【结论】滋金补水膏可能通过调节lncRNA PVT1/miR-30b-5p轴促进Th17/Treg细胞平衡来抑制COPD大鼠炎症反应。

温经通络汤含药血清对小鼠软骨细胞损伤及IκB-ζ/HIF-1α/LDHA轴的影响研究

目的研究温经通络汤含药血清对白细胞介素-1β(IL-1β)诱导的小鼠原代软骨细胞损伤的影响及机制。方法采用IL-1β诱导小鼠原代软骨细胞损伤模型,检测细胞中炎症因子IL-1β、IL-6、TNF-α,软骨降解相关蛋白酶基质金属蛋白酶(MMP)3、MMP9、MMP13、ADAM金属肽酶含血小板反应蛋白1基元4(ADAMTS4)以及糖酵解相关酶乳酸脱氢酶A(LDHA)、M2型丙酮酸激酶(PKM2)、还原型辅酶Ⅱ氧化酶2(NOX2)、还原型辅酶Ⅱ氧化酶4(NOX4)的mRNA表达;测定细胞内MMP3、MMP13、P65、IκB-ζ、缺氧诱导因子1α(HIF-1α)以及LDHA蛋白表达水平;进一步检测细胞上清液中一氧化氮(NO)、丙二醛(MDA)和乳酸的浓度,测定细胞内辅酶Ⅰ(NAD)的还原态(NADH)和氧化态(NAD+)的比率,以及细胞内活性氧(ROS)水平。结果温经通络汤含药血清可显著抑制IL-1β软骨细胞内IL-1β、IL-6、TNF-α的mRNA表达(P<0.01),降低细胞上清液中NO浓度(P<0.05,P<0.01),下调IκB-ζ(P<0.05)和P65蛋白表达(P<0.05,P<0.01)。温经通络汤含药血清可显著下调MMP3、MMP9、MMP13以及ADAMTS4 mRNA表达(P<0.01),抑制MMP13(P<0.05,P<0.01)和MMP3(P<0.05)的蛋白表达。氧化应激方面,它可显著抑制软骨细胞内ROS的产生,提高NADH/NAD+比率,降低上清液中MDA浓度,下调HIF-1α蛋白表达(P<0.01)。温经通络汤含药血清可显著降低乳酸浓度,下调LDHA、PKM2、NOX2、NOX4的表达,降低细胞内糖酵解水平(P<0.05,P<0.01)。结论温经通络汤含药血清可通过抑制炎症、软骨降解、氧化应激和糖酵解,缓解IL-1β诱导的小鼠原代软骨细胞损伤,其机制可能与调控IκB-ζ/HIF-1α/LDHA轴有关。