术后淋巴结阴性肺浸润性黏液腺癌患者的预后预测模型

背景与目的肺浸润性黏液腺癌(invasive mucinous adenocarcinoma of the lung,IMA)是肺腺癌中一种少见且特殊的类型,该类肿瘤的特点往往是少有淋巴结转移,因此对于该类肿瘤的预后评估依靠现有的肿瘤原发灶-淋巴结-转移(tumor-node-metastasis,TNM)分期存在困难。本研究的目的是构建列线图来预测术后淋巴结阴性的IMA患者的预后。方法根据纳入标准和排除标准,回顾性分析2012年7月至2017年5月宁波大学附属李惠利医院(训练队列,n=78)和宁波市第二医院(验证队列,n=66)胸外科收治的术后病理为淋巴结阴性的IMA患者的资料,分析训练队列的临床病理特征的预后价值并建立预后预测模型,并对模型性能进行评价,最后将验证队列的数据代入进行外部验证。结果单因素分析显示肺炎型、较大的肿块、包含黏液和非黏液成分的混合型、较高的总分期是5年无进展生存期(progression-free survival,PFS)及总生存期(overall survival,OS)的影响因素。多因素分析进一步表明,影像学分型、肿块大小、黏液成分是5年PFS及OS的独立预后因素。5年PFS率和OS率分别为62.82%和75.64%,亚组的生存分析显示,肺炎型和包含黏液和非黏液成分的混合型IMA患者的5年PFS及OS分别明显低于孤立型和纯黏液型IMA患者。5年PFS和OS的Harrell’s C指数分别为0.815(95%CI:0.741-0.889)和0.767(95%CI:0.669-0.865),这两个模型的校准曲线及决策曲线分析(decision curve analysis,DCA)在两个队列中显示出良好的预测性能。结论本次基于临床病理特征构建的列线图在一定程度上可以作为IMA切除术后淋巴结阴性患者的一种有效预后预测工具。

Development of Gelatin-Based Active Packaging and Its Application in Bread Preservation

The issue of plastic pollution has attracted widespread social attention.Gelatin is valued as a degradable bio-based material,especially as an edible active packaging material.However,the commonly used solution-casting filmforming technology limits the mass production of gelatin films.In order to improve the production efficiency and enhance the commercial value of gelatin films,in this study,fish gelatin(FG)particles were successfully blended with essential oils(EOs)to prepare active films by melt extrusion technique,a common method for commercial plastics,and applied to bread preservation.FG and EOs showed good compatibility with each other.The elongation at break was enhanced in all samples of films containing EOs.The addition of EOs weakened the oxygen barrier properties of the FG films.The gelatin films containing clove EO showed the highest DPPH radical scavenging rate of 39.38%.The films containing oregano EO showed the highest antibacterial activity,with 98.84%and 99.86% against S.aureus and E.coli,respectively.The bread preservation results showed a slower microbial growth rate in the samples preserved by the active films.The bread samples preserved in commercial PE film showed mold on day 3,and the bread samples preserved in active gelatin film showed mold visible to the naked eye by day 7.This study demonstrates the potential of gelatin-based activated films for commercial application in baked goods preservation.

聚丙烯腈纳米纤维膜连续预氧化碳化过程中的结构性能演变

对静电纺丝制备的聚丙烯腈(PAN)纳米纤维膜进行连续预氧化碳化处理,借助差示扫描量热仪、红外光谱、扫描电镜、元素分析、拉曼光谱、体密度、力学性能等表征和测试方法,综合分析了纳米纤维膜在预氧化碳化过程中的结构性能演变。研究结果表明,相较于微米级的PAN聚合体,纳米纤维具有更低的环化活化能,当氧化纳米纤维的氧含量为8.3%时,得到的碳纳米纤维膜综合性能较佳,其密度、碳收率和拉伸强度分别为1.799 g/cm^(3),59.8%和29.6 MPa。

Cloning and Expression Analysis of eIF5A Gene from Litopenaeus vannamei

Eukaryotic translation initiation factor 5A （eIFSA） is a protein-translation initiation factor in eukaryotic cells. Recent studies found that elFSA plays an important role in regulating the processes of cellular senescence and death, environmental stress response and immune response in animal and plant cells. In the present study, a cDNA containing the complete amino acid sequence of eIFSA was obtained for the first time by sequencing the Litopenaeus vannamei cDNA library, which contained a 474 bp long open reading frame encoding 157 amino acids, with the predicted molecular weight of about 17. 257 ku and theoretical isoelectric point of 5.06. Comparison analysis showed that the amino acid sequence of elFSA gene in L vannamei shared relatively high homology with that in other species. Real-time quantitative RT-PCR results indicated that the mRNA expression of elFSA gene in different tissues of L. vannamei exhibited no significant difference. Real-time quantitative RT-PCR analysis of L. vannamei hepatopancreas infected with WSSV, TSV and IHHNV showed that the mRNA levels of elFSA gene was re- spectively significantly increased, which was 2.2, 2.5 and 1.6 times of that in control group, indicating that eIFSA may be involved in the antiviral immune response of L. vannamei.

Learning to optimize:A tutorial for continuous and mixed-integer optimization

Learning to optimize(L2O)stands at the intersection of traditional optimization and machine learning,utilizing the capabilities of machine learning to enhance conventional optimization techniques.As real-world optimization problems frequently share common structures,L2O provides a tool to exploit these structures for better or faster solutions.This tutorial dives deep into L2O techniques,introducing how to accelerate optimization algorithms,promptly estimate the solutions,or even reshape the optimization problem itself,making it more adaptive to real-world applications.By considering the prerequisites for successful applications of L2O and the structure of the optimization problems at hand,this tutorial provides a comprehensive guide for practitioners and researchers alike.

Systematic Exploration of Optimized Base Editing gRNA Design and Pleiotropic Effects with BExplorer

Base editing technology is being increasingly applied in genome engineering,but the current strategy for designing guide RNAs(gRNAs)relies substantially on empirical experience rather than a dependable and efficient in silico design.Furthermore,the pleiotropic effect of base editing on disease treatment remains unexplored,which prevents its further clinical usage.Here,we presented BExplorer,an integrated and comprehensive computational pipeline to optimize the design of gRNAs for 26 existing types of base editors in silico.Using BExplorer,we described its results for two types of mainstream base editors,BE3 and ABE7.10,and evaluated the pleiotropic effects of the corresponding base editing loci.BExplorer revealed 524 and 900 editable pathogenic single nucleotide polymorphism(SNP)loci in the human genome together with the selected optimized gRNAs for BE3 and ABE7.10,respectively.In addition,the impact of 707 edited pathogenic SNP loci following base editing on 131 diseases was systematically explored by revealing their pleiotropic effects,indicating that base editing should be carefully utilized given the potential pleiotropic effects.Collectively,the systematic exploration of optimized base editing gRNA design and the corresponding pleiotropic effects with BExplorer provides a computational basis for applying base editing in disease treatment.

Impact of Optimizing Emergency Nursing Processes on Resuscitation Success in Patients with Acute Chest Pain

Objective:To analyze the effect of optimizing the emergency nursing process in the resuscitation of patients with acute chest pain and the impact on the resuscitation success rate.Methods:66 patients with acute chest pain received by the emergency department of our hospital from January 2022 to December 2023 were selected as the study subjects and divided into two groups according to the differences in the emergency nursing process,i.e.,33 patients receiving routine emergency care were included in the control group,and 33 patients receiving the optimization of emergency nursing process intervention were included in the observation group.Patients’resuscitation effect and satisfaction with nursing care in the two groups were compared.Results:The observation group’s consultation assessment time,reception time,admission to the start of resuscitation time,and resuscitation time were shorter than that of the control group,the resuscitation success rate was higher than that of the control group,and the incidence of adverse events was lower than that of the control group,with statistically significant differences(P<0.05);and the observation group’s satisfaction with nursing care was higher than that of the control group,with statistically significant differences(P<0.05).Conclusion:Optimization of emergency nursing process intervention in the resuscitation of acute chest pain patients can greatly shorten the rescue time and improve the success rate of resuscitation,with higher patient satisfaction.

DrSim: Similarity Learning for Transcriptional Phenotypic Drug Discovery

Transcriptional phenotypic drug discovery has achieved great success,and various compound perturbation-based data resources,such as connectivity map(CMap)and library of integrated network-based cellular signatures(LINCS),have been presented.Computational strategies fully mining these resources for phenotypic drug discovery have been proposed.Among them,the fundamental issue is to define the proper similarity between transcriptional profiles.Traditionally,such similarity has been defined in an unsupervised way.However,due to the high dimensionality and the existence of high noise in high-throughput data,similarity defined in the traditional way lacks robustness and has limited performance.To this end,we present Dr Sim,which is a learning-based framework that automatically infers similarity rather than defining it.We evaluated Dr Sim on publicly available in vitro and in vivo datasets in drug annotation and repositioning.The results indicated that Dr Sim outperforms the existing methods.In conclusion,by learning transcriptional similarity,Dr Sim facilitates the broad utility of high-throughput transcriptional perturbation data for phenotypic drug discovery.The source code and manual of Dr Sim are available at https://github.com/bm2-lab/Dr Sim/.

Redox deracemization of α-substituted 1,3-dihydroisobenzofurans

Chiralα-substituted 1,3-dihydroisobenzofurans are key scaffolds in a number of bioactive natural products and synthetic pharmaceuticals.However,catalytic asymmetric approaches have been rarely developed.Here,a redox deracemization technology is adopted to address the catalytic asymmetric synthesis.A broad range ofα-aryl substituted 1,3-dihydroisobenzofurans are effectively deracemized in high efficiency with excellent ee.α-Alkynyl substituted ethers were also compatible with the deracemization technology.

Gonadal transcriptomic analysis and differentially expressed genes between the testes and ovaries in Trachinotus ovatus

The Trachinotus ovatus is a popular aquaculture species in China.There are no obvious morphological differences between male and female fish,even during maturity,prompting research studies on sex-related features of this fish.To examine sex determination-and gonadal development-related genes,we conducted transcriptome analysis of the ovaries and testes of T.ovatus.A total of 345,972,132 high-quality clean reads were obtained from 12 libraries.In addition,28,137 gonad-expressed unigenes were obtained by mapping the clean reads to the T.ovatus reference genome.A total of 8,237 differentially expressed genes(DEGs)were identified between stage I ovaries and testes,including 3,235 testicular upregulated and 5,002 ovarian upregulated genes.Furthermore,13,448 DEGs were obtained between stage III ovarian and testicular libraries,including 7,576 testicular upregulated and 5,872 ovarian upregulated genes.The DEGs included some sex-determining genes such as sry,dmrt1,and amh.DEGs between ovarian and testicular libraries were significantly enriched with KEGG pathways that are involved in gonadal development,sex determination,and gonadal function.Then,10 DEGs(seven testicular upregulated and three ovarian upregulated unigenes)were selected for quantitative real-time PCR analysis.Four genes(zinc-binding protein A33-like,pro-opiomelanocortin-like,leucine-rich repeat and transmembrane domain-containing protein 2-like,and forkhead boxC1)showed a specific testicular expression pattern.The gonadally expressed as well as testicular and ovarian DEGs provide useful information for further research on the reproductive biology of T.ovatus.