Knowledge-Based Efficient N-1 Analysis Calculation Method for Urban Distribution Networks with CIM File Data

The N-1 criterion is a critical factor for ensuring the reliable and resilient operation of electric power distribution networks.However,the increasing complexity of distribution networks and the associated growth in data size have created a significant challenge for distribution network planners.To address this issue,we propose a fast N-1 verification procedure for urban distribution networks that combines CIM file data analysis with MILP-based mathematical modeling.Our proposed method leverages the principles of CIM file analysis for distribution network N-1 analysis.We develop a mathematical model of distribution networks based on CIM data and transfer it into MILP.We also take into account the characteristics of medium voltage distribution networks after a line failure and select the feeder section at the exit of each substation with a high load rate to improve the efficiency of N-1 analysis.We validate our approach through a series of case studies and demonstrate its scalability and superiority over traditional N-1 analysis and heuristic optimization algorithms.By enabling online N-1 analysis,our approach significantly improves the work efficiency of distribution network planners.In summary,our proposed method provides a valuable tool for distribution network planners to enhance the accuracy and efficiency of their N-1 analyses.By leveraging the advantages of CIM file data analysis and MILP-based mathematical modeling,our approach contributes to the development of more resilient and reliable electric power distribution networks.

Molecular cloning,characterization and promoter analysis of LbgCWIN1 and its expression profiles in response to exogenous sucrose during in vitro bulblet initiation in lily

Lily(Lilium spp.) is an important ornamental flower, which is mainly propagated by bulbs. Cell wall invertases(CWINs), which catalyze the irreversibly conversion of sucrose into glucose and fructose in the extracellular space, are key enzymes participating in sucrose allocation in higher plants. Previous studies have shown that CWINs play an essential role in bulblet initiation process in bulbous crops, but the underlying molecular mechanism remains unclear. Here, a CWIN gene of Lilium brownii var. giganteum(Lbg) was identified and amplified from genomic DNA. Quantitative RT-PCR assays revealed that the expression level of LbgCWIN1 was highly upregulated exactly when the endogenous starch degraded in non-sucrose medium during in vitro bulblet initiation in Lbg. Phylogenetic relationship, motif, and domain analysis of LbgCWIN1 protein and CWINs in other plant species showed that all sequences of these CWIN proteins were highly conserved. The promoter sequence of LbgCWIN1 possessed a number of alpha-amylase-, phytohormone-, light-and stress-responsive cis-elements. Meanwhile, β-glucuronidase(GUS) assay showed that the 459 bp upstream fragment from the translational start site displayed maximal promoter activity. These results revealed that LbgCWIN1 might function in the process of in vitro bulblet initiation and be in the response to degradation of endogenous starch.

Qualitative analysis of aromatic compounds via 1D TOCSY techniques

The aromatic compounds,including o-xylene,m-xylene,p-xylene,and ethylbenzene,primarily originate from the catalytic reforming of crude oil,and have a wide variety of applications.However,because of similar physical and chemical properties,these compounds are difficult to be identified by gas chromatography(GC)without standard samples.With the development of modern nuclear magnetic resonance(NMR)techniques,NMR has emerged as a powerful and efficient tool for the rapid analysis of complex and crude mixtures without purification.In this study,the parameters of one-dimensional(1D)total correlation spectroscopy(TOCSY)NMR techniques,including 1D selective gradient TOCSY and 1D chemicalshift-selective filtration(CSSF)with TOCSY,were optimized to obtain comprehensive molecular structure information.The results indicate that the overlapped signals in NMR spectra of nonpolar aromatic compounds(including o-xylene,m-xylene,p-xylene and ethylbenzene),polar aromatic compounds(benzyl alcohol,benzaldehyde,benzoic acid),and aromatic compounds with additional conjugated bonds(styrene)can be resolved in 1D TOCSY.More importantly,full molecular structures can be clearly distinguished by setting appropriate mixing time in 1D TOCSY.This approach simplifies the NMR spectra,provides structural information of entire molecules,and can be applied for the analysis of other structural isomers.

Bibliometric analysis of phosphoglycerate kinase 1 expression in breast cancer and its distinct upregulation in triple-negative breast cancer

BACKGROUND Phosphoglycerate kinase 1(PGK1)has been identified as a possible biomarker for breast cancer(BC)and may play a role in the development and advancement of triple-negative BC(TNBC).AIM To explore the PGK1 and BC research status and PGK1 expression and mecha-nism differences among TNBC,non-TNBC,and normal breast tissue.METHODS PGK1 and BC related literature was downloaded from Web of Science Core Co-llection Core Collection.Publication counts,key-word frequency,cooperation networks,and theme trends were analyzed.Normal breast,TNBC,and non-TNBC mRNA data were gathered,and differentially expressed genes obtained.Area under the summary receiver operating characteristic curves,sensitivity and specificity of PGK1 expression were determined.Kaplan Meier revealed PGK1’s prognostic implication.PGK1 co-expressed genes were explored,and Gene Onto-logy,Kyoto Encyclopedia of Genes and Genomes,and Disease Ontology applied.Protein-protein interaction networks were constructed.Hub genes identified.RESULTS PGK1 and BC related publications have surged since 2020,with China leading the way.The most frequent keyword was“Expression”.Collaborative networks were found among co-citations,countries,institutions,and authors.PGK1 expression and BC progression were research hotspots,and PGK1 expression and BC survival were research frontiers.In 16 TNBC vs non-cancerous breast and 15 TNBC vs non-TNBC datasets,PGK1 mRNA levels were higher in 1159 TNBC than 1205 non-cancerous breast cases[standardized mean differences(SMD):0.85,95%confidence interval(95%CI):0.54-1.16,I²=86%,P<0.001].PGK1 expression was higher in 1520 TNBC than 7072 non-TNBC cases(SMD:0.25,95%CI:0.03-0.47,I²=91%,P=0.02).Recurrence free survival was lower in PGK1-high-expression than PGK1-low-expression group(hazard ratio:1.282,P=0.023).PGK1 co-expressed genes were concentrated in ATP metabolic process,HIF-1 signaling,and glycolysis/gluconeogenesis pathways.CONCLUSION PGK1 expression is a research hotspot and frontier direction in the BC field.PGK1 may play a strong role in promoting cancer in TNBC by mediating metabolism and HIF-1 signaling pathways.

Composition Analysis and Identification of Ancient Glass Products Based on L1 Regularization Logistic Regression

In view of the composition analysis and identification of ancient glass products, L1 regularization, K-Means cluster analysis, elbow rule and other methods were comprehensively used to build logical regression, cluster analysis, hyper-parameter test and other models, and SPSS, Python and other tools were used to obtain the classification rules of glass products under different fluxes, sub classification under different chemical compositions, hyper-parameter K value test and rationality analysis. Research can provide theoretical support for the protection and restoration of ancient glass relics.

考虑源荷不确定性和N-1安全约束的电力系统优化调度

大规模风电并网增加了系统运行的不确定因素,文章利用快速可调资源平抑风电和负荷波动引发的功率不平衡,并考虑备用调用过程减少对系统潮流的影响。首先分析了风电和负荷预测误差的概率分布模型;然后,建立含N-1网络安全机会约束和旋转备用机会约束的电力系统优化调度模型,以系统调度总成本最小为目标优化机组出力;最后,基于起作用整数变量的识别方法的Benders分解法处理N-1网络安全约束,提高求解效率。利用修正的IEEE30节点系统,验证了所提模型能够保障系统备用可用性、经济性和安全性,充分挖掘抽水蓄能的快速可调能力。

Pan-Cancer dissection of ORAI1:prognostic implications and immune landscapecorrelation

Background:The ORAI1 gene,central to store-operated calcium entry(SOCE),is increasingly recognized for its pivotal role in cancer progression and patient prognosis across a broad spectrum of malignancies.Despite its critical involvement in calcium signaling pathways that are essential for cellular functions such as proliferation,migration,and apoptosis,the comprehensive impacts of ORAI1 within the tumor microenvironment(TME)and its modulation across various cancers have not been fully elucidated.Methods:We conducted a pan-cancer analysis leveraging data from The Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)to assess ORAI1 expression.Differential expression analyses were performed,complemented by correlative studies with tumor mutation burden(TMB),microsatellite instability(MSI),immune infiltration,and key biological processes and pathways.Results:Our results demonstrate that ORAI1 is consistently upregulated in a range of cancer types,associated with aggressive tumor characteristics and poor patient outcomes.Significantly,ORAI1 upregulation correlates with increased tumor mutation burden(TMB)and microsatellite instability(MSI),markers of genomic instability that are predictive of response to immunotherapy,underscoring its potential utility in clinical stratification and treatment decision-making.ORAI1's influence extended to the immune landscape,showing associations with immune cell infiltration and both immunosuppressive and immunostimulatory gene sets,thereby affecting the TME and possibly the efficacy of immunotherapeutic interventions.Conclusions:The multifaceted nature of ORAI1's involvement in cancer pathophysiology positions it as a prospective biomarker and therapeutic target.Its expression dynamics and correlative significance with prognostic and immune regulatory elements underscore its potential in guiding therapeutic strategies and improving clinical outcomes.This study lays a foundation for future research,aiming to leverage ORAI1's biological significance in cancer prognosis and therapy optimization.

Carbon Chain Length Determines Inhibitory Potency of Perfluoroalkyl Sulfonic Acids on Human Placental 3β-Hydroxysteroid Dehydrogenase 1:Screening,Structure-Activity Relationship,and In Silico Analysis

Objective This study aimed to compare 9 perfluoroalkyl sulfonic acids(PFSA)with carbon chain lengths(C4–C12)to inhibit human placental 3β-hydroxysteroid dehydrogenase 1(3β-HSD1),aromatase,and rat 3β-HSD4 activities.Methods Human and rat placental 3β-HSDs activities were determined by converting pregnenolone to progesterone and progesterone secretion in JEG-3 cells was determined using HPLC/MS–MS,and human aromatase activity was determined by radioimmunoassay.Results PFSA inhibited human 3β-HSD1 structure-dependently in the order:perfluorooctanesulfonic acid(PFOS,half-maximum inhibitory concentration,IC50:9.03±4.83μmol/L)>perfluorodecanesulfonic acid(PFDS,42.52±8.99μmol/L)>perfluoroheptanesulfonic acid(PFHpS,112.6±29.39μmol/L)>perfluorobutanesulfonic acid(PFBS)=perfluoropentanesulfonic acid(PFPS)=perfluorohexanesulfonic acid(PFHxS)=perfluorododecanesulfonic acid(PFDoS)(ineffective at 100μmol/L).6:2FTS(1H,1H,2H,2H-perfluorooctanesulfonic acid)and 8:2FTS(1H,1H,2H,2H-perfluorodecanesulfonic acid)did not inhibit human 3β-HSD1.PFOS and PFHpS are mixed inhibitors,whereas PFDS is a competitive inhibitor.Moreover,1–10μmol/L PFOS and PFDS significantly reduced progesterone biosynthesis in JEG-3 cells.Docking analysis revealed that PFSA binds to the steroid-binding site of human 3β-HSD1 in a carbon chain length-dependent manner.All 100μmol/L PFSA solutions did not affect rat 3β-HSD4 and human placental aromatase activity.Conclusion Carbon chain length determines inhibitory potency of PFSA on human placental 3β-HSD1 in a V-shaped transition at PFOS(C8),with inhibitory potency of PFOS>PFDS>PFHpS>PFBS=PFPS=PFHxS=PFDoS=6:2FTS=8:2FTS.

The diagnostic value of the expression of the thymidine kinase 1 in lung cancer:A meta analysis

Objective:To study is to evaluate the diagnostic value of the expression of thymidine kinase 1(TK1)in lung cancer through literature review and meta-analysis.Methods:Firstly,we searched Pubmed,Embase,Cochrane,Web of Science,CBM,CNKI,Wanfang and other databases up to June 2022.Then two researchers separately selected the clinical study on diagnosis of lung cancer by the expression of the TK1 and treatment and obtained the full text of the literature.Then we evaluated the systematic quality and bias risk of the included literatures by using Revman 5.3 software,and the consistency among the covariables in meta analysis.Finally,the Sensitivity(Sen),the Specificity(Spe)and other indicators were analyzed by using Stata16.0 software.Results:The study included 37 literatures,including 3218 lung cancer cases and 2976 control cases.The meta-analysis showed that the Ser and Spe of the expression of the TK1 in the diagnosis of lung cancer were 0.63(95%CI:0.57,0.68)and 0.88(95%CI:0.84,0.91),while positive likelihood ratio(PLR)was 5.34(95%CI:4.02,7.1)and negative likelihood ratio(NLR)was 0.42(95%CI:0.37,0.48),diagnostic odd sratio(DOR)was 12.69(95%CI:8.91,18.08),and the area under the ROC curve(AUC)was 0.82(95%CI:0.79,0.85).When TK1,CEA and CYFRA21-1 were used as combined diagnostic indexes of lung cancer,Sen was 0.82(95%CI:0.76,0.86),Spe 0.78(95%CI:0.46,0.94),PLR 3.69(95%CI:1.28,10.66),NLR 0.24(95%CI:0.18,0.31),DOR 15.59(95%CI:4.56,53.36),AUC 0.84(95%CI:0.80,0.87).The Youden index of combined diagnosis was 0.60,which was higher than that of TK1 alone.Conclusion:TK1 alone as a diagnostic index of lung cancer has low Sen,but its Sep is higher.So it has a certain diagnostic value.TK1 combined with CEA and CYFRA21-1 has higher Sen in the diagnosis of lung cancer,and the diagnostic value is better.

A Comparative Analysis of the New -3(-n) - 1 Remer Conjecture and a Proof of the 3n + 1 Collatz Conjecture

This scientific paper is a comparative analysis of two mathematical conjectures. The newly proposed -3(-n) - 1 Remer conjecture and how it is related to and a proof of the more well known 3n + 1 Collatz conjecture. An overview of both conjectures and their respective iterative processes will be presented. Showcasing their unique properties and behavior to each other. Through a detailed comparison, we highlight the similarities and differences between these two conjectures and discuss their significance in the field of mathematics. And how they prove each other to be true.

S-1-based vs non-S-1-based chemotherapy in advanced gastric cancer: A meta-analysis

AIM: To assess the efficacy and tolerability of S-1-based vs non-S-1-based chemotherapy in advanced gastric cancer(AGC). METHODS: We extracted reported endpoints, including overall survival(OS), progression-free survival(PFS), time-to-treatment failure(TTF), objective response rate(ORR) and adverse effects, from randomized controlled trials identified in PubMed, the Cochrane library, Science Direct, EMBASE and American Society of Clinical Oncology meetings. Stata software was used to calculate the pooled values.RESULTS: Seven randomized controlled trials involving 2176 patients were included in this meta-analysis. Compared to non-S-1-based regimens, the use of S-1-based regimens were associated with an increase in ORR(RR = 1.300; 95%CI: 1.028-1.645); OS(HR = 0.89; 95%CI: 0.81-0.99; P = 0.025), TTF(HR = 0.83; 95%CI: 0.75-0.92; P = 0.000), and a lower risk of febrile neutropenia(RR = 0.225; P = 0.000) and stomatitis(RR = 0.230; P = 0.032). OS, PFS and TTFwere prolonged, especially in the Asian population. In subgroup analysis, statistically significant increases in ORR(RR = 1.454; P = 0.029), OS(HR = 0.895; P = 0.041) and TTF(HR = 0.832; P = 0.000) were found when S-1-based chemotherapy was compared to 5-fluorouracil(5-FU)-based chemotherapy. The incidence of leukopenia(RR = 0.584; P = 0.002) and stomatitis(RR = 0.230; P = 0.032) was higher in the 5-FU-based arm. S-1-based regimens had no advantage in ORR, OS, PFS, TTF and grade 3 or 4 adverse events over capecitabine-based regimens. CONCLUSION: S-1-based chemotherapy may be a good choice for AGC because of longer survival times, better tolerance and more convenient use.

The prognostic value of programmed cell death ligand 1expression in non-Hodgkin lymphoma:a meta-analysis

Objective: Although the prognostic value of programmed cell death-ligand 1(PD-L1) expression in non-Hodgkin lymphoma(NHL) has been evaluated in many studies, the results remain controversial. To investigate the prognostic role of PD-L1 expression and the association between PD-L1 expression and clinicopathological features of NHL, we performed a meta-analysis.Methods: The Pub Med, EMBASE, and Cochrane Library databases were searched up to November 30, 2017. The hazard ratio(HR), 95% confidence interval(CI), and odds ratios(OR) with 95% CIs were combined to evaluate the association of PD-L1 expression with overall survival(OS) and clinicopathological features. Review manager 5.3 and STATA 12.0 were used in this meta-analysis.Results: A total of 2,005 patients across nine studies were enrolled in our meta-analysis, and the pooled results showed that high PD-L1 expression was associated with a poor prognosis(HR=2.04, 95% CI: 1.18–3.54, P=0.01). In the subgroup analysis according to histology types, pooled results demonstrated that an increased PD-L1 expression was an unfavorable prognostic factor for diffuse large B-cell lymphoma(HR=1.92, 95% CI: 1.06–3.48, P=0.03) but not for natural killer/T-cell lymphoma(HR=2.41, 95%CI: 0.47–12.22, P=0.29). Pooled ORs indicated that PD-L1 expression was higher in NHL with international prognostic indices of≥3. However, PD-L1 expression had no correlation with gender, age, disease stage, lactate dehydrogenase level, B symptoms, and germinal center B-cell-like lymphoma.Conclusions: High PD-L1 expression was a poor prognostic biomarker in patients with NHL. Because of our limited sample size,high-quality studies with larger sample sizes are needed to validate our results.

Self-Consistent Spin-Wave Analysis of the 1/3 Magnetization Plateau in the Kagome Antiferromagnet

We propose a modified spin-wave theory to study the 1/3 magnetization plateau of the antiferromagnetic Heisen- berg model on the kagome lattice. By the self-consistent inclusion of quantum corrections, the 1/3 plateau is stabilized over a broad range of magnetic fields for all spin quantum numbers S. The values of the critical mag- netic fields and the widths of the magnetization plateaus are fully consistent with the recent numerical results from exact diagonalization and infinite projected entangled paired states.

Analysis of long noncoding RNA-associated competing endogenous RNA network in glucagon-like peptide-1 receptor agonist-mediated protection inβcells

BACKGROUND Long noncoding RNAs(lncRNAs)and mRNAs are widely involved in various physiological and pathological processes.The use of glucagon-like peptide-1 receptor agonists(GLP-1RAs)is a novel therapeutic strategy that could promote insulin secretion and decrease the rate ofβ-cell apoptosis in type 2 diabetes mellitus(T2DM)patients.However,the specific lncRNAs and mRNAs and their functions in these processes have not been fully identified and elucidated.AIM To identify the lncRNAs and mRNAs that are involved in the protective effect of GLP-1RA inβcells,and their roles.METHODS Rat gene microarray was used to screen differentially expressed(DE)lncRNAs and mRNAs inβcells treated with geniposide,a GLP-1RA.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were performed to assess the underlying functions of DE mRNAs.Hub mRNAs were filtered using the STRING database and the Cytoscape plugin,CytoHubba.In order to reveal the regulatory relationship between lncRNAs and hub mRNAs,their co-expression network was constructed based on the Pearson coefficient of DE lncRNAs and mRNAs,and competing endogenous RNA(ceRNA)mechanism was explored through miRanda and TargetScan databases.RESULTS We identified 308 DE lncRNAs and 128 DE mRNAs with a fold change filter of≥1.5 and P value<0.05.GO and KEGG pathway enrichment analyses indicated that the most enriched terms were G-protein coupled receptor signaling pathway,inflammatory response,calcium signaling pathway,positive regulation of cell proliferation,and ERK1 and ERK2 cascade.Pomc,Htr2a,and Agtr1a were screened as hub mRNAs using the STRING database and the Cytoscape plugin,CytoHubba.This result was further verified using SwissTargetPrediction tool.Through the co-expression network and competing endogenous(ceRNA)mechanism,we identified seven lncRNAs(NONRATT027738,NONRATT027888,NONRATT030038,etc.)co-expressed with the three hub mRNAs(Pomc,Htr2a,and Agtr1a)based on the Pearson coefficient of the expression levels.These lncRNAs regulated hub mRNA functions by competing with six miRNAs(rno-miR-5132-3p,rno-miR-344g,rno-miR-3075,etc.)via the ceRNA mechanism.Further analysis indicated that lncRNA NONRATT027738 interacts with all the three hub mRNAs,suggesting that it is at a core position within the ceRNA network.CONCLUSION We have identified key lncRNAs and mRNAs,and highlighted here how they interact through the ceRNA mechanism to mediate the protective effect of GLP-1RA inβcells.

Risk of pancreatic adverse events associated with the use of glucagon-like peptide-1 receptor agonist and dipeptidyl peptidase-4 inhibitor drugs: A systematic review and metaanalysis of randomized trials

AIM: To systematically assess risk of pancreatic adverse events with glucagon-like peptide-1(GLP-1) receptor agonist and dipeptidyl peptidase-4(DPP-4) inhibitor drugs.METHODS: We searched Pub Med, Embase, CINAHL, Cochrane review of clinical trials, pharmaceutical company clinical trials register, United States Food and Drug Administration website, European Medicines Agency website and Clinical Trials.gov for randomized controlled trials from inception to October 2013. Randomized control trial studies were selected for inclusion if they reported on pancreatic complication events and/or changes in pancreatic enzyme levels(serum amylase and serum lipase) as adverse events or as serious adverse events for patients who were on GLP-1 receptor agonist and DPP-4 inhibitor drugs. Two independent reviewers extracted data directly. We performed Peto odds ratio(OR) fixed effect meta-analysis of pancreatic adverse events a, and assessed heterogeneity with the I^2 statistic.RESULTS: Sixty-eight randomized controlled trials were eligible. A total of 60720 patients were included in our analysis of the association of risk of pancreatic complication events with GLP-1 agents. A total of 89 pancreatic related adverse events occurred among the GLP-1 agents compared to 74 events among the controls. There was a statistically significant increased risk of elevation of pancreatic enzymes associated with GLP-1 agents compared with control(Peto OR = 3.15, 95%CI: 1.56-6.39, P = 0.001, I2 = 0%). There was no statistically significant difference in the risk of pancreatic adverse event associated with GLP-1 agent compared with controls(Peto OR = 1.00, 95%CI: 0.73-1.37, P = 1.00, I2 = 0%). There were a total of 71 pancreatitis events in patients on GLP-1 agents and 56 pancreatitis events occurred in the control patients. There were 36 reports of pancreatic cancer in these studies. Of these cases, 2 used linagliptin, 2 used alogliptin, 1 used vildagliptin, 7 used saxagliptin while 6 used sitagliptin. The remaining 18 cases occurred among controls.CONCLUSION: Although GLP-1 based agents are associated with pancreatic enzyme elevation, we were unable to confirm a significant risk of pancreatitis or pancreatic cancer.

Painleve Analysis for(2+1)Dimensional Non-Linear Schrodinger Equation

This paper investigates a real version of a (2 + 1) dimensional nonlinear Schr?dinger equation through adoption of Painlevé test by means of which the (2 + 1) dimensional nonlinear Schr?dinger equation is studied according to the Weiss et al. method and Kruskal’s simplification algorithms. According to Painlevé test, it is found that the number of arbitrary functions required for explaining the Cauchy-Kovalevskaya theorem exist. Finally, the associated B?cklund transformation and bilinear form is directly obtained from the Painlevé test.

配电网N-1最大供电能力的判定定理

N-1最大供电能力(total supply capability,TSC)是评估配电网的重要指标。该文提出TSC判定定理并证明。定理1:每回馈线均能找到与其具有转带关系的一回馈线/馈线段,使两者负荷互补;且N供一备和不对称分段联络接线的备用馈线负荷最小,对称分段联络接线由同一馈线提供备用的馈线段负荷相等。定理2:任意馈线N-1后,所有与故障馈线相联络馈线都满载。定理3:冗余量最小。冗余量是由严格边界等式约束得到的冗余式的取值。这3个定理分别从N-1前负载特征、N-1后负载特征和数学模型的不同角度进行判定。该文证明以上3个定理,并采用我国常见接线模式和配电网算例验证;进一步给出定理的应用举例。判定定理是TSC理论体系的一个基础性工作。与现有研究相比,判定定理提炼出了TSC点的负荷分布特征,能方便地确定所有达到TSC的系统状态,为规划运行中优化负荷分布提供方向,便于发挥配电网的供电能力。

血清Neu5Ac、S100A1水平与急性心源性脑梗死患者病情、预后的关系

目的 探讨血清N-乙酰神经氨酸(Neu5Ac)、S100钙结合蛋白质A1(S100A1)水平与急性心源性脑梗死患者病情、预后的关系。方法 选取2021年9月至2023年9月承德市中心医院收治的165例急性心源性脑梗死患者,根据梗死面积将患者分为小/中面积组(梗死直径≤4 cm,97例)和大面积组(梗死直径>4 cm,68例);根据美国国立卫生研究院卒中量表(NIHSS)评分将患者分为低NIHSS组(NIHSS<16分,108例)和高NIHSS组(NIHSS≥16分,57例)。检测患者Neu5Ac、S100A1水平,根据患者出院后3个月mRS评分将其分为预后不良组(n=41)和预后良好组(n=124)。采用Pearson相关法探讨血清Neu5Ac、S100A1与脑梗死面积、NIHSS评分的关系,采用多因素logistic回归分析影响因素。结果小/中面积组Neu5Ac、S100A1水平低于大面积组,差异有统计学意义(P<0.05)。低NIHSS组Neu5Ac、S100A1水平低于高NIHSS组,差异有统计学意义(P<0.05)。血清Neu5Ac、S100A1与脑梗死面积、NIHSS评分均呈正相关(均P<0.001)。预后良好组血清Neu5Ac、S100A1低于预后不良组,差异有统计学意义(P<0.05)。预后良好组梗死面积大面积比例、入院NIHSS评分低于预后不良组,差异有统计学意义(P<0.05)。梗死面积大面积、入院NIHSS评分≥15.33分、Neu5Ac≥274.58 ng/mL、S100A1≥5.08 ng/mL是急性心源性脑梗死患者预后危险因素(P<0.05)。结论 血清Neu5Ac、S100A1与急性心源性脑梗死患者脑梗死面积、NIHSS评分有关,有望作为预测患者病情及预后的潜在标记物。

2021-2022年河南省猪细小病毒1~7型检测与分析

旨在了解猪细小病毒1~7型(PPV1~PPV7)在河南省的流行情况。利用PCR检测了2021-2022年河南省猪场送检的748份样品,并对检测数据进行了分析。结果表明,PPV1/2/3/5/6/7在河南省各地区一年四季广泛流行,而秋、冬季节是感染高峰期,PPV2(16.04%)的感染率最高,PPV7(15.11%)次之。产房仔猪未检出PPV1/3/5,PPV2/6/7在各生长阶段猪群中均有检出,患呼吸系统疾病的保育和育肥猪中PPV各型检出率均较高,尤以PPV2常见。PPV2和PPV7在口腔液、血样、肺脾淋巴结中检出率均较高,血样中较低,PPV3常存在于血清和组织中,PPV5多见于口腔液,PPV6多见于血样。研究证实,除PPV4未检出外,其他6种PPV在河南均存在,并且多与其他病原混合感染,PPV2、PPV7可与多种病原混合感染,PPV7与PCV2混合感染最常见。