Identification and Validation of SLC9A2 as A Potential Tumor Suppressor in Colorectal Cancer:Integrating Bioinformatics Analysis with Experimental Confirmation

Objective To uncover the mechanisms underlying the development of colorectal cancer(CRC),we applied bioinformatic analyses to identify key genes and experimentally validated their possible roles in CRC onset and progression.Methods We performed Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis on differentially expressed genes(DEGs),constructed a protein-protein interaction(PPI)network to find the top 10 hub genes,and analyzed their expression in colon adenocarcinoma(COAD)and rectum adenocarcinoma(READ).We also studied the correlation between these genes and immune cell infiltration and prognosis and validated the expression of SLC9A2 in CRC tissues and cell lines using qRT-PCR and Western blotting.Functional experiments were conducted in vitro to investigate the effects of SLC9A2 on tumor growth and metastasis.Results We found 130 DEGs,with 45 up-regulated and 85 down-regulated in CRC.GO analysis indicated that these DEGs were primarily enriched in functions related to the regulation of cellular pH,zymogen granules,and transmembrane transporter activity.KEGG pathway analysis revealed that the DEGs played pivotal roles in pancreatic secretion,rheumatoid arthritis,and the IL-17 signaling pathway.We identified 10 hub genes:CXCL1,SLC26A3,CXCL2,MMP7,MMP1,SLC9A2,SLC4A4,CLCA1,CLCA4,and ZG16.GO enrichment analysis showed that these hub genes were predominantly involved in the positive regulation of transcription.Gene expression analysis revealed that CXCL1,CXCL2,MMP1,and MMP7 were highly expressed in CRC,whereas CLCA1,CLCA4,SLC4A4,SLC9A2,SLC26A3,and ZG16 were expressed at lower levels.Survival analysis revealed that 5 key genes were significantly associated with the prognosis of CRC.Both mRNA and protein expression levels of SLC9A2 were markedly reduced in CRC tissues and cell lines.Importantly,SLC9A2 overexpression in SW480 cells led to a notable inhibition of cell proliferation,migration,and invasion.Western blotting analysis revealed that the expression levels of phosphorylated ERK(p-ERK)and phosphorylated JNK(p-JNK)proteins were significantly increased,whereas there were no significant changes in the expression levels of ERK and JNK following SLC9A2 overexpression.Correlation analysis indicated a potential link between SLC9A2 expression and the MAPK signaling pathway.Conclusion Our study suggests that SLC9A2 acts as a tumor suppressor through the MAPK pathway and could be a potential target for CRC diagnosis and therapy.

Transglutaminase 2 serves as a pathogenic hub gene of KRAS mutant colon cancer based on integrated analysis

BACKGROUND Colon cancer is acknowledged as one of the most common malignancies worldwide,ranking third in United States regarding incidence and mortality.Notably,approximately 40%of colon cancer cases harbor oncogenic KRAS mutations,resulting in the continuous activation of epidermal growth factor receptor signaling.AIM To investigate the key pathogenic genes in KRAS mutant colon cancer holds considerable importance.METHODS Weighted gene co-expression network analysis,in combination with additional bioinformatics analysis,were conducted to screen the key factors driving the progression of KRAS mutant colon cancer.Meanwhile,various in vitro experiments were also conducted to explore the biological function of transglutaminase 2(TGM2).RESULTS Integrated analysis demonstrated that TGM2 acted as an independent prognostic factor for progression-free survival.Immunohistochemical analysis on tissue microarrays revealed that TGM2 was associated with an elevated probability of perineural invasion in patients with KRAS mutant colon cancer.Additionally,biological roles of the key gene TGM2 was also assessed,suggesting that the downregulation of TGM2 attenuated the proliferation,invasion,and migration of the KRAS mutant colon cancer cell line.CONCLUSION This study underscores the potential significance of TGM2 in the progression of KRAS mutant colon cancer.This insight not only offers a theoretical foundation for therapeutic approaches but also highlights the need for additional clinical trials and fundamental research to support our preliminary findings.

Multi-Elemental Analysis and 2D Image Mapping within Roots, Leaves and Seeds from O. glaberrima Rice Plants Using Micro-PIXE Technique

Understanding metal accumulation at organ level in roots, leaves and seeds in O. glaberrima (OG) is crucial for improving physiological and metabolic aspects in growing Asian and African rice in salted areas. The micro-analytical imaging techniques are required to reveal its accumulation and distribution within plant tissues. PIXE studies have been performed to determine different elements in rice plants. The existing microbeam analytical technique at the iThemba LABS will be applied for the 2D image mapping of fresh rice tissues to perform a concentration of low atomic mass elements (such as Al, Si, P, S, Cl, Ca, Ti, Mn, Fe, Cu, Br, Zn and K) with detection limits of typically 1-10 μg/g. Comparison of the distribution of the elements between leaves, root and seed samples using uptake and distribution of elements in particular environmental conditions with potential amount of salt in water have been performed. We are also expecting to indicate metal exclusion as salt tolerance strategies from leaves, root, and seed compartments using matrix correlation between samples and between elements on rice species.

Prognostic significance of CDKN2A expression in colon adenocarcinoma: insights from TCGA analysis

Background:The cyclin-dependent kinase inhibitor 2a(CDKN2A)gene,identified as the multiple tumor suppressor gene,functions as a regulatory gene implicated in cancer pathogenesis.Its significance lies in its pivotal involvement in the genesis of various tumors;notwithstanding,the precise connection between CDKN2A and c olon adenocarcinoma(COAD)remains undisclosed.Methods:The objective of this research was to assess the predictive importance of CDKN2A in COAD by analyzing data from The Cancer Genome Atlas database.Logistic regression,signed rank test,Wilcoxon test,and Kruskal-Wallis test were used to examine CDKN2A expression levels and clinicopathological features.Univariate and multivariate Cox r egression analyses and Kaplan-Meier analysis found prognostic variables.Additionally,gene set enrichment analysis identified key CDKN2A expression pathways.The study additionally examined CDKN2A expression with tumor immune infiltration using The Cancer Genome Atlas data and single sample gene set enrichment analysis.Results:The results of this investigation indicated a substantial connection between higher CDKN2A expression and negative outcomes in terms of overall survival and disease-related survival among COAD patients.Gene set enrichment analysis indicated a tight link between CDKN2A and both the cell cycle and hedgehog signaling pathways.Subsequent evaluation employing single sample gene set enrichment analysis demonstrated a positive link between CDKN2A expression with infiltration by iDCs,whereas a negative correlation was detected with infiltration by helper T cells.Conclusion:In conclusion,the present study gives strong data supporting the predictive value of CDKN2A and its possible usefulness as a biomarker for COAD.Additionally,our results show a reasonable link between CDKN2A expression and immune influx in COAD,putting light on the role of CDKN2A in the control of the tumor microenvironment.Nevertheless,additional studies are needed to confirm the underlying mechanisms of these relationships and to discover the therapeutic possibilities of targeting CDKN2A in the treatment of COAD.

Data driven analysis reveals prognostic genes and immunological targets in human sepsis-associated acute kidney injury

BACKGROUND:The molecular mechanism of sepsis-associated acute kidney injury(SA-AKI)is unclear.We analyzed co-differentially expressed genes(co-DEGs)to elucidate the underlying mechanism and intervention targets of SA-AKI.METHODS:The microarray datasets GSE65682,GSE30718,and GSE174220 were downloaded from the Gene Expression Omnibus(GEO)database.We identified the co-DEGs and constructed a gene co-expression network to screen the hub genes.We analyzed immune correlations and disease correlations and performed functional annotation of the hub genes.We also performed single-cell and microenvironment analyses and investigated the enrichment pathways and the main transcription factors.Finally,we conducted a correlation analysis to evaluate the role of the hub genes.RESULTS:Interleukin 32(IL32)was identified as the hub gene in SA-AKI,and the main enriched signaling pathways were associated with hemopoiesis,cellular response to cytokine stimulus,inflammatory response,and regulation of kidney development.Additionally,IL32 was significantly associated with mortality in SA-AKI patients.Monocytes,macrophages,T cells,and NK cells were closely related to IL32 and were involved in the immune microenvironment in SA-AKI patients.IL32 expression increased significantly in the kidney of septic mouse.Toll-like receptor 2(TLR2)was significantly and negatively correlated with IL32.CONCLUSION:IL32 is the key gene involved in SA-AKI and is significantly associated with prognosis.TLR2 and relevant immune cells are closely related to key genes.

Calculations and Sensitivity Analysis of Chlorine-,NO_(x)-,and Bromine-Depleting Cycles of Stratospheric Ozone

This paper presents an engineering system approach using a 2D model of conservation of mass to study the dynamics of ozone and concerned chemical species in the stratosphere.By considering all fourteen photolysis,ozone-generating,and-depleting chemical reactions,the model calculated the transient,spatial changes of ozone under different physical-chemical-radiative conditions.Validation against the measured data demonstrated good accuracy,close match of our model with the observed ozone concentrations at both 20°S and 90°N locations.The deviation in the average concentration was less than 1% and in ozone profiles less than 17%.The impacts of various chlorine-(Cl),nitrogen oxides-(NO_(x)),and bromine-(Br)depleting cycles on ozone concentrations and distribution were investigated.The chlorine catalytic depleting cycle was found to exhibit the most significant impact on ozone dynamics,confirming the key role of chlorine in the problem of ozone depletion.Sensitivity analysis was conducted with levels of 25%,50%,100%,200%,and 400% of the baseline value.The combined cycles(Cl+NO_(x)+Br)showed the most significant influence on ozone behavior.The total ozone abundance above the South Pole could decrease by a small 3%,from 281 DU(Dubson Units)to 273 DU for the 25% level,or by a huge thinning of 60%to 114 DU for the 400% concentration level.When the level of chlorine gases increased beyond 200%,it would cause ozone depletion to a level of ozone hole(below 220 DU).The 2D Ozone Model presented in this paper demonstrates robustness,convenience,efficiency,and executability for analyzing complex ozone phenomena in the stratosphere.

Numerical analysis of matrix swelling and its effect on microstructure of digital coal and its associated permeability during CO_(2)-ECBM process based on X-ray CT data

Matrix swelling effect will cause the change of microstructure of coal reservoir and its permeability,which is the key factor affecting the engineering effect of CO_(2)-ECBM technology.The Sihe and Yuwu collieries are taken as research objects.Firstly,visualization reconstruction of coal reservoir is realized.Secondly,the evolution of the pore/fracture structures under different swelling contents is discussed.Then,the influence of matrix phase with different swelling contents on permeability is discussed.Finally,the mechanism of swelling effect during the CO_(2)-ECBM process is further discussed.The results show that the intra-matrix pores and matrix-edge fractures are the focus of this study,and the contacting area between matrix and pore/fracture is the core area of matrix swelling.The number of matrix particles decreases with the increase of size,and the distribution of which is isolated with small size and interconnected with large size.The swelling effect of matrix particles with larger size has a great influence on the pore/fracture structures.The number of connected pores/fractures is limited and only interconnected in a certain direction.With the increase of matrix swelling content,the number,porosity,width,fractal dimension,surface area and volume of pores/fractures decrease,and their negative contribution to absolute permeability increases from 0.368% to 0.633% and 0.868%-1.404%,respectively.With the increase of swelling content,the number of intra-matrix pores gradually decreases and the pore radius becomes shorter during the CO_(2)-ECBM process.The matrix continuously expands to the connected fractures,and the width of connected fractures gradually shorten.Under the influence of matrix swelling,the bending degree of fluid flow increases gradually,so the resistance of fluid migration increases and the permeability gradually decreases.This study shows that the matrix swelling effect is the key factor affecting CBM recovery,and the application of this effect in CO_(2)-ECBM process can be discussed.

Dynamic Modeling and Sensitivity Analysis for an MEA-Based CO_(2) Capture Absorber

The absorber is the key unit in the post-combustion monoethanolamine(MEA)-based carbon dioxide(CO_(2))capture process.A rate-based dynamic model for the absorber is developed and validated using steady-state experimental data reported in open literature.Sensitivity analysis is performed with respect to important model parameters associated with the reaction,mass transport and phy-sical property relationships.Then,a singular value decomposition(SVD)-based subspace parameter estimation method is proposed to improve the model accu-racy.Finally,dynamic simulations are carried out to investigate the effects of the feed rate of lean MEA solution and the flue inlet conditions.Simulation results indicate that the established dynamic model can reasonably reflect the physical behavior of the absorber.Some new insights are gained from the simulation results.

Multi-scale Incremental Analysis Update Scheme and Its Application to Typhoon Mangkhut(2018)Prediction

In the traditional incremental analysis update(IAU)process,all analysis increments are treated as constant forcing in a model’s prognostic equations over a certain time window.This approach effectively reduces high-frequency oscillations introduced by data assimilation.However,as different scales of increments have unique evolutionary speeds and life histories in a numerical model,the traditional IAU scheme cannot fully meet the requirements of short-term forecasting for the damping of high-frequency noise and may even cause systematic drifts.Therefore,a multi-scale IAU scheme is proposed in this paper.Analysis increments were divided into different scale parts using a spatial filtering technique.For each scale increment,the optimal relaxation time in the IAU scheme was determined by the skill of the forecasting results.Finally,different scales of analysis increments were added to the model integration during their optimal relaxation time.The multi-scale IAU scheme can effectively reduce the noise and further improve the balance between large-scale and small-scale increments in the model initialization stage.To evaluate its performance,several numerical experiments were conducted to simulate the path and intensity of Typhoon Mangkhut(2018)and showed that:(1)the multi-scale IAU scheme had an obvious effect on noise control at the initial stage of data assimilation;(2)the optimal relaxation time for large-scale and small-scale increments was estimated as 6 h and 3 h,respectively;(3)the forecast performance of the multi-scale IAU scheme in the prediction of Typhoon Mangkhut(2018)was better than that of the traditional IAU scheme.The results demonstrate the superiority of the multi-scale IAU scheme.

Investigation and Countermeasures of the Development of Chinese Pharmaceutical E-commerce in the B2C Model Based on PEST-SWOT Analysis

Objective To analyze the problems of pharmaceutical e-commerce and provide strategies for its development in the future B2C mode since drug network management has great potential in China.Methods By collecting,identifying,and conducting literature research,PEST-SWOT identification and positioning of pharmaceutical e-commerce in the B2C mode were carried out.Results and Conclusion A PEST-SWOT analysis matrix was established to analyze the status of B2C pharmaceutical e-commerce,and to summarize its advantages,disadvantages,opportunities and threats from four perspectives of politics,economy,society and technology.Suggestions on cultivating compound talents proficient in medicine and e-commerce,exploring online payment methods for medical insurance,integration of upstream and downstream of the industrial chain and data sharing are put forward to promote the healthy and long-term development of pharmaceutical e-commerce under the background of big data.

达格列净对2型糖尿病患者经皮冠状动脉介入治疗术后对比剂肾病发病的影响

背景达格列净是治疗2型糖尿病(T2DM)的有效药物,还具有降低T2DM肾病进展风险、减少尿蛋白以及心脏保护等作用,然而,达格列净能否降低T2DM患者经皮冠状动脉介入治疗(PCI)术后对比剂肾病(CIN)发生率,目前尚不完全清楚。目的探讨达格列净对T2DM患者PCI术后CIN发病的影响。方法根据达格列净使用情况以1∶1倾向性匹配原则,回顾性连续纳入2021—2023年于天津市胸科医院心内科行PCI治疗的T2DM患者共484例为研究对象,其中达格列净组242例、对照组242例。收集2组患者PCI术前的临床资料并进行比较,同时记录2组患者PCI术前、PCI术后48 h及PCI术后1周的肾功能,包括血尿素氮(BUN)、血清肌酐(Scr)、肌酐清除率(Ccr)、胱抑素C(Cys-C)、β2微球蛋白(β2-MG)、中性粒细胞明胶酶相关载脂蛋白(NGAL)的变化。主要终点事件为CIN发病率,次要终点事件为PCI围术期肾功能的变化。采用多因素Logistic回归分析达格列净对T2DM患者PCI术后CIN发病的影响。结果达格列净组患者CIN发病率为6.2%,低于对照组患者的CIN发病率(12.0%),差异有统计学意义(χ^(2)=4.900,P=0.039);达格列净组患者CIN危险评分及B型钠尿肽高于对照组(P<0.05)。PCI术前、术后1周,2组患者BUN、Scr、Ccr、Cys-C、β2-MG、NGAL水平比较,差异均无统计学意义(P>0.05)。PCI术后48 h,达格列净组患者Cys-C、β2-MG、NGAL水平低于对照组(P<0.05)。多因素Logistic回归分析结果显示,CIN危险评分高(OR=1.213,95%CI=1.085~1.358,P=0.001)、B型钠尿肽水平升高(OR=3.940,95%CI=1.479~10.494,P=0.006)是T2DM患者PCI术后CIN发病的独立危险因素,使用达格列净(OR=0.338,95%CI=0.159~0.717,P=0.005)是T2DM患者PCI术后CIN发病的独立保护因素。结论使用达格列净是T2DM患者PCI术后CIN发病的独立保护因素,达格列净并不增加T2DM患者PCI术后急性肾损伤的发病风险,并可能降低CIN的发生率。

胰高血糖素样肽-1受体激动剂致2型糖尿病患者不良反应文献分析

目的 分析胰高血糖素样肽-1受体激动剂(GLP-1RA)致2型糖尿病患者药品不良反应(ADR)的发生特点和规律,为临床合理用药提供依据。方法 检索Cochrane Library、PubMed、Embase、中国知网(CNKI)、万方数据知识服务平台中GLP-1RA致2型糖尿病患者ADR个案报道并整理分析。结果 收集个案报道102例,GLP-1RA引发ADR未见显著性别差异,ADR多发生于用药3个月内,可引发皮肤、皮下组织系统、胃肠系统、肾脏系统、心血管系统等多系统疾病。结论 临床应用GLP-1RA过程中应加强用药监护,尤其对既往存在相关基础疾病的患者,以防严重ADR发生。

基于OCO-2卫星数据的中国CO_(2)浓度时空变化特征

大气CO_(2)浓度增加引起的全球变暖问题是国内外学者关注的热点议题,但对CO_(2)的监测一直存在较多的不确定性。利用2015—2022年OCO-2卫星观测的CO_(2)柱浓度混合比数据(XCO_(2)),基于克里金插值和标准差椭圆等方法,分析了中国CO_(2)浓度时空分布与变化特征,有以下3个结论。1)基于OCO-2卫星数据的XCO_(2)数据集精度较高,与地面监测站(瓦里关站、鹿林站)观测结果的均方根误差仅为1.75 ppm和1.58 ppm,相关系数分别为0.91和0.96。2)年际上,2015—2022年中国年均XCO_(2)由399.52 ppm增至417.64 ppm,年均增速为2.56 ppm/a,高于过去10年全球CO_(2)浓度平均增速(2.06 ppm/a),但在2019年之后XCO_(2)增速呈下降趋势。季节上,XCO_(2)具有明显的季节变化特征,春季XCO_(2)最高,夏季最低。3)空间分布上,XCO_(2)表现出东部高,西部、东北地区低的空间分布特征。XCO_(2)浓度高值区域集中在京津冀和长三角等城市群。中国东北、西南地区XCO_(2)增速较快,高于华东、华南等经济发达地区。

电厂粉煤灰、炉渣和污泥复合陶粒对低浓度Pb^(2+)的吸附特性

针对重金属污染具有来源广、危害大等特点,通过以电厂废物(粉煤灰、炉渣)和脱水污泥为原料制备一种高效且价廉的陶粒吸附剂,采用吸附影响因素实验、解吸再生实验、吸附动力学模型和等温吸附模型的拟合以及陶粒表征分析,探究陶粒对Pb^(2+)的吸附特性,同时为实现废物资源化利用提供新思路.结果表明:陶粒去除Pb^(2+)的较佳吸附条件为粒径4 mm、pH 4.5~5.0、吸附时间360 min、吸附温度25℃.陶粒再生所用较佳解吸剂为0.5 mol/L的HCl溶液,较佳解吸时间和次数分别为120 min和5次,解吸5次后陶粒对Pb^(2+)的去除率为92.67%.此吸附过程更好地遵循了准二级动力学模型和Freundlich等温吸附模型.陶粒上的O-H、Si-O和金属氧化键在吸附Pb^(2+)的过程中起主要作用.陶粒吸附Pb^(2+)后,出现了新的物相Pb_(2)Cl_(3)OH和PbO,陶粒与Pb^(2+)之间发生化学吸附,为自发进行的放热反应.陶粒处理实际废水中Pb^(2+)的去除率可达93.70%,Pb^(2+)浓度由3.74 mg/L降至0.24 mg/L.研究显示,电厂粉煤灰、炉渣和污泥复合陶粒对Pb^(2+)具有一定的去除效果,可为以固体废物为原料制备的吸附剂在重金属废水处理应用中提供数据支撑.

电流密度、温度、阴极孔隙率和N_(2)溶解度因子对Li-N_(2)电池放电性能的影响

Li-N_(2)电池是一种具有电化学固氮功能的新型储能系统,文章利用有限元软件COMSOL耦合多物理场建立的电化学模型能揭示各因素对其放电性能的影响。模拟结果表明:放电电流密度、温度、阴极孔隙率和电解液中的N_(2)溶解度因子对Li-N_(2)电池的放电性能均有影响;较大的放电电流密度会降低该电池的电压和容量;阴极孔隙率和电解液中的N_(2)溶解度因子是影响该电池电压和容量的关键性因素,提高阴极孔隙率和电解液中的N_(2)溶解度因子均能增加该电池的电压和容量;电池放电的平台电压随温度升高而升高,但放电容量几乎不受温度影响。

20例钠-葡萄糖共转运蛋白2抑制剂致福涅尔坏疽病例及文献分析

目的探讨钠-葡萄糖共转运蛋白2抑制剂(SGLT-2i)致福涅尔坏疽(FG)的发生特点,为临床安全用药提供参考。方法采用计算机检索PubMed、Embase、中国知网、万方、维普数据库自建库起至2023年6月有关SGLT-2i致FG的病例报道,并对相关数据进行统计和分析。结果共纳入20篇文献,涉及20例患者。其中,男14例(70.00%),女6例(30.00%);年龄(56.0±11.5)岁;12例(60.00%)描述为肥胖,其中5例为极重度肥胖(体质量指数不低于40 kg/m^(2))。FG发生中位时间为425 d,FG发生时糖化血红蛋白(HbA_(1C))平均值为9.2%。SGLT-2i致FG相关性为很可能的有8例,可能的有12例。20例患者经停药、及时清创引流及给予抗菌药物治疗后转归均良好。结论临床使用SGLT-2i时需注意识别其致FG的危险因素,一旦生殖器或会阴区域出现可疑的肿胀、疼痛等不适,需立即就医,并给予积极治疗。

基于临床资料与实验室指标构建2型糖尿病发生糖尿病肾病预测模型及价值验证

目的探究基于临床资料与实验室指标构建2型糖尿病(T2DM)发生糖尿病肾病(DN)的预测模型,并进行预测价值验证,为临床提供相关参考依据。方法选取我院2019年1月至2021年3月T2DM患者267例作为研究对象,根据《糖尿病肾病防治专家共识(2014年版)》中DN诊断标准分为单纯T2DM组(197例)与DN组(70例)。收集两组临床资料、实验室指标,构建T2DM发生DN的Logistic回归模型,评价模型的预测价值,并进行个体值预测验证。结果单因素分析,年龄、性别、BMI、动脉粥样硬化、冠心病、吸烟史、饮酒史、糖尿病家族史、FBG、2hPG、Hb、TG、Scr、BUN不是T2DM发生DN的影响因素(P>0.05);T2DM病程、高血压、HbA1c、TC、HDL-C、LDL-C、SUA是T2DM发生DN的影响因素(P<0.05);Logistic回归分析,T2DM病程、高血压、HbA1c、TC、LDL-C、SUA是T2DM发生DN的独立危险因素,HDL-C是T2DM发生DN的独立保护因素(P<0.05);ROC曲线分析,根据上述独立因素构建Logistic回归模型,该模型预测T2DM发生DN的最佳截断值Log(P)为0.489,AUC为0.830,95%CI为0.779~0.873,灵敏度为61.43%,特异性为89.34%,较各影响因素单独预测价值高。随机抽取2021年4月至2022年1月T2DM患者178例作为验证集,其中发生DN患者42例,未发生DN患者136例,该模型在验证集中预测T2DM发生DN的AUC为0.922,95%CI为0.872~0.957,灵敏度为85.71%,特异性为87.50%。结论基于T2DM病程、高血压、HbA1c、TC、LDL-C、HDL-C、SUA构建T2DM发生DN的预测模型具有可靠预测价值,能作为临床预测DN风险的重要途径。

甘精胰岛素生物仿制药与原研药治疗2型糖尿病临床有效性及安全性的Meta分析

目的系统性评价甘精胰岛素生物仿制药与原研药治疗2型糖尿病的临床有效性与安全性。方法检索国内外相关文献,系统分析甘精胰岛素生物仿制药与原研药治疗2型糖尿病人群的有效性和安全性的区别。结果Meta分析结果显示,甘精胰岛素生物仿制药与原研品种在降低空腹血糖、糖化血红蛋白(HbA1c)水平及HbA1c达标率方面差异无统计学意义;在低血糖发生率及总体不良事件报告率方面差异无统计学意义。结论本研究结果显示,从有效性和安全性方面考虑,甘精胰岛素生物仿制药与原研药并无明显差异。但因纳入文献质量和数量有限,仍需大样本、多中心的随机对照试验来进一步证实该结论。

2000—2021年如东县2型糖尿病发病趋势分析

目的:分析2000—2021年如东县2型糖尿病发病趋势,为政府制定糖尿病防控策略提供科学依据。方法:收集2000—2021年如东县区域卫生信息平台和医院信息系统(HIS)中的新发2型糖尿病病例,采用Joinpoint回归模型分析2型糖尿病发病率变化特征,计算年度变化百分比(APC)和平均年度变化百分比(AAPC),预测并验证2022年糖尿病发病水平。结果:2000—2021年如东县2型糖尿病平均粗发病率为259.75/10万,标化发病率总体呈上升趋势,从2000年的51.27/10万上升到2021年的139.83/10万,AAPC为7.76%;2012年是发病率变化转折点,2000—2012年APC=18.67%,2型糖尿病发病率快速上升;2012—2021年APC=-5.24%,发病率缓慢下降。男性粗发病率为198.07/10万,标化率为118.73/10万;女性粗发病率为318.89/10万,标化率为197.03/10万。女性发病率高于男性,差异有统计学意义(Z=4.41,P<0.05)。45~74岁人群2型糖尿病发病率呈波动性变化。结论:2000—2021年如东县2型糖尿病发病率总体先上升后缓慢下降,糖尿病仍是如东县实施综合防控策略的主要慢性病,女性、45~74岁人群是该地区2型糖尿病重点防控对象。

不同山葡萄品种CO_(2)响应模型拟合及评价

为探索不同山葡萄品种叶片CO_(2)响应特征差异,以5 a生山葡萄‘北冰红’‘北国红’‘双红’和‘雪兰红’为试材,采用Li-6400便携式光合仪,测定果实膨大期山葡萄叶片光合-二氧化碳响应曲线(photosynthetic CO_(2)response curve,P_(n)-C_(i))以及胞间CO_(2)浓度(intercellular CO_(2)concentration,C_i)、气孔导度(stomatal conductance,G_s)、水分利用率(water use efficiency,WUE)和蒸腾速率(transpiration rate,T_r)等气体交换参数,基于直角双曲线模型、Michaelis-Menten模型和直角双曲线修正模型3种模型拟合山葡萄叶片P_(n)-C_(i)响应曲线。结果表明,直角双曲线修正模型拟合的山葡萄P_(n)-C_(i)响应曲线,其拟合参数与实测值最为接近,可直接计算CO_(2)饱和点(CO_(2)saturation point,CSP)。随大气CO_(2)浓度(atmospheric CO_(2)concentration,C_a)的增加,4个山葡萄品种C_i呈线性递增趋势;G_s和T_r总体呈先升后降趋势;WUE先降后升,呈“U”型变化趋势。主成分分析提取出2个主成分,累计贡献率达84.613%。综合评价‘雪兰红’得分最高,光能转化利用率最高,在低C_a环境下的适应性最佳;‘双红’在不同C_a水平下均可保持较高光合效率,排名第2。综上所述,直角双曲线修正模型拟合山葡萄叶片P_(n)-C_(i)响应曲线效果最优。