基于奥马哈理论的护理模式 对慢性阻塞性肺疾病患者肺功能及细菌感染率的影响

目的探讨基于奥马哈理论的护理模式对慢性阻塞性肺疾病(COPD)患者肺功能、症状控制、细菌感染率及生活质量的影响。方法选取2018年1月至2019年1月我院收治的134例COPD患者,采用随机数字表法将研究对象分为观察组(n=69)与对照组(n=65),对两组患者住院期间肺功能、症状控制情况、细菌感染率、睡眠情况以及生活质量进行评估和分析。结果观察组患者肺功能情况优于入院时(P0.05)。两组患者泌尿系统感染发生率最高,其次为褥疮创面感染和口腔感染。观察组患者泌尿系感染的发生率低于对照组(P0.05)。两组患者干预后PSQI量表评分和CAT评分均低于入院前,且观察组患者总分低于对照组(均P0.05)。干预后观察组患者SF-36评分均高于对照组(均P0.05)。结论在基于奥马哈理论的护理模式下,COPD患者的肺功能得到加强,继发感染的发生减少,生活质量得到提高。     

北京市大气细颗粒污染物与老年呼吸系统疾病急诊就医关系的病例交叉研究

目的:探讨北京市大气细颗粒污染物对呼吸系统疾病急诊的影响。方法:收集2013年3月-2014年3月解放军305医院以及西三环的总参军训部北京第八干休所门诊部的临床病例急诊数据、北京市环境监测中心的大气细颗粒污染物和气象条件数据资料,应用病例交叉设计研究方法进行数据分析。结果:在控制气温、相对湿度的影响后,单向回顾性1:1配对病例交叉分析结果显示,滞后0天细颗粒物污染对慢性支气管炎、哮喘、慢性阻塞性肺病急诊影响的OR值最大,细颗粒物日平均浓度每升高10μg/m3,对应的OR值分别为1.032、1.033、1.035。结论:该研究区域内大气细颗粒物污染物浓度升高可以导致呼吸系统疾病相关的慢性支气管炎、哮喘、慢性阻塞性肺病疾病的急诊增加。     

Spatial patterns and interspecific associations among trees at different stand development stages in the natural secondary forests on the Loess Plateau,China

Quercus wutaishansea populations on the Loess Plateau are currently becoming more dominant in natural secondary forests, whereas Pinus tabulaeformis is declining. In the present paper, the diameter class (instead of age) was used to classify the different growth stages as juvenile, subadult, or adult, and the univariate function g(r) was used to analyze the dynamic changes in spatial patterns and interspecific associations in three 1‐ha tree permanent plots on the Loess Plateau, NW China. Our results suggested that the niche breadth changed with the development stage. The diameter distribution curve was consistent with the inverted “J” type, indicating that natural regeneration was common in all three plots. There was a close relationship between the spatial pattern and scale, which showed significant aggregation at small distances, and became more random as distance increased, but in the Pinus + Quercus mixed forests, the whole species were aggregated at distances up to 50 m. The degree of spatial clumping decreased from juvenile to subadult and from subadult to adult. The spatial pattern also differed at different growth stages, likely due to strong intraspecific competition. Associations among different growth stages were positively correlated at small scales. Our study is important to the understanding of the development of the Q. wutaishansea forests; thus, the spatial dynamic change features should be received greater attention when planning forest management and developing restoration strategies on the Loess Plateau.     

Rapid identification and interpretation of gene–environment associations using the new R.SamBada landscape genomics pipeline

sam βada is a genome–environment association software, designed to search for signatures of local adaptation. However, pre‐ and postprocessing of data can be labour‐intensive, preventing wider uptake of the method. We have now developed R.SamBada, an r ‐package providing a pipeline for landscape genomic analysis based on sam βada , spanning from the retrieval of environmental conditions at sampling locations to gene annotation using the Ensembl genome browser. As a result, R.SamBada standardizes the landscape genomics pipeline and eases the search for candidate genes of local adaptation, enhancing reproducibility of landscape genomic studies. The efficiency and power of the pipeline is illustrated using two examples: sheep populations from Morocco with no evident population structure and Lidia cattle from Spain displaying population substructuring. In both cases, R.SamBada enabled rapid identification and interpretation of candidate genes, which are further discussed in the light of local adaptation. The package is available in the r CRAN package repository and on GitHub (github.com/SolangeD/R.SamBada).     

Analysis of ligand-binding to the kringle 4 fragment from human plasminogen

The interaction of the isolated human plasminogen kringle 4 with the four -amino acid ligands -aminocaproic acid (ACA), N-acetyl-l-lysine (AcLys), trans-aminomethyl(cyclohexane)carboxylic acid (AMCHA) and p-benzylaminesulfonic acid (BASA) has been further characterized by ¹H-NMR spectroscopy at 300 and 600 MHz. Pronounced high-field shifts, reaching 3 ppm, are observed for AMCHA resonances upon binding to kringle 4, which underscores the relevance of ligand lipophilic interactions with aromatic side chains at the binding site. Ligand titration curves for the nine His and Trp singlets found in the kringle 4 aromatic spectrum reveal a striking uniformity in the kringle response to the various ligands. The average binding curves exhibit a clear Langmuir absorption isotherm saturation profile and the data were analyzed under the assumption of one (high affinity) binding site per kringle. Equilibrium association constants (K _a ) and first order dissociation rate constants (k _off) were derived from linearized expressions of the Langmuir isotherm and of the spectral line-shapes, respectively. The results for the four ligands, at 295 K, pH^* 7.2, indicate that: (a) AMCHA exhibits the strongest binding (K _a =159 mM ^-1) and ACA the weakest (K _a =21 mM ^–1) with AcLys and BASA falling in between; (b) ACA dissociates readily (k _off = 5.3 × 10³ s^–1) and AMCHA associates the fastest (k _off = 2.0 × 10⁸ M ^–1 s^–1) while the kinetics for BASA exchange is relatively slow (k _off = 0.8 × 10³ s^–1, k _on = 0.6 × 10⁸ M ^–1s^–1); (c) the ligand-binding kinetics is close to diffussion-controlled.Abbreviations ACA -aminocaproic acid - AcLys N-acetyl-l-lysine - AMCHA t-aminomethyl(cyclohexane)carboxylic acid - BASA p-benzylaminesulfonic acid - K4 kringle 4 - NOE nuclear Overhauser effect - ppm parts-per-million - pH^* glass electrode pH reading uncorrected for deuterium isotope effects - K _a ligand-kringle 4 equilibrium association constant - k _off ligand-kringle 4 dissociation rate constant - k _on ligand-kringle 4 association rate constant     

Development and Application of Microsatellites in Candidate Genes Related to Wood Properties in the Chinese White Poplar (Populus tomentosa Carr.)

Gene-derived simple sequence repeats (genic SSRs), also known as functional markers, are often preferred over random genomic markers because they represent variation in gene coding and/or regulatory regions. We characterized 544 genic SSR loci derived from 138 candidate genes involved in wood formation, distributed throughout the genome of Populus tomentosa, a key ecological and cultivated wood production species. Of these SSRs, three-quarters were located in the promoter or intron regions, and dinucleotide (59.7%) and trinucleotide repeat motifs (26.5%) predominated. By screening 15 wild P. tomentosa ecotypes, we identified 188 polymorphic genic SSRs with 861 alleles, 2–7 alleles for each marker. Transferability analysis of 30 random genic SSRs, testing whether these SSRs work in 26 genotypes of five genus Populus sections (outgroup, Salix matsudana), showed that 72% of the SSRs could be amplified in Turanga and 100% could be amplified in Leuce. Based on genotyping of these 26 genotypes, a neighbour-joining analysis showed the expected six phylogenetic groupings. In silico analysis of SSR variation in 220 sequences that are homologous between P. tomentosa and Populus trichocarpa suggested that genic SSR variations between relatives were predominantly affected by repeat motif variations or flanking sequence mutations. Inheritance tests and single-marker associations demonstrated the power of genic SSRs in family-based linkage mapping and candidate gene-based association studies, as well as marker-assisted selection and comparative genomic studies of P. tomentosa and related species.     

Some New Aryl-5′-fluoro-2′-meth-oxyphenyl Ketones and Their Thiosemicarbazones as Possible Fungicides

Feeding studies on rice genetically modified with soybean glycinin were performed on rats for four weeks. The rats were divided into three groups, each being fed on (I) only a commercial diet, (II) this diet plus control rice and (III) this diet plus rice genetically modified with glycinin. The rats were fed with 10 g/kg-weight of rice every day by oral administration. During the test period, the rats in every group grew well without marked differences in appearance, food intake, body weight, or cumulative body weight gain. There were also no significant differences in the blood count, blood composition or internal organ weights among the rats. Necropsy at the end of the experiment indicated neither pathological symptoms nor histopathological abnormalities in the liver and kidney. Judging from these results, the rice genetically modified with glycinin is considered to have been essentially the same in nutritional and biochemical characteristics as the control rice.     

Statistical methods for estimating doubling time in in vitro cell growth

Summary Doubling time has been widely used to represent the growth pattern of cells. A traditional method for finding the doubling time is to apply gray-scaled cells, where the logarithmic transformed scale is used. As an alternative statistical method, the log-linear model was recently proposed, for which actual cell numbers are used instead of the transformed gray-scaled cells. In this paper, I extend the log-linear model and propose the extended log-linear model. This model is designed for extra-Poisson variation, where the log-linear model produces the less appropriate estimate of the doubling time. Moreover, I compare statistical properties of the gray-scaled method, the log-linear model, and the extended log-linear model. For this purpose, I perform a Monte Carlo simulation study with three data-generating models: the additive error model, the multiplicative error model, and the overdispersed Poisson model. From the simulation study, I found that the gray-scaled method highly depends on the normality assumption of the gray-scaled cells; hence, this method is appropriate when the error model is multiplicative with the log-normally distributed errors. However, it is less efficient for other types of error distributions, especially when the error model is additive or the errors follow the Poisson distribution. The estimated standard error for the doubling time is not accurate in this case. The log-linear model was found to be efficient when the errors follow the Poisson distribution or nearly Poisson distribution. The efficiency of the log-linear model was decreased accordingly as the overdispersion increased, compared to the extended log-linear model. When the error model is additive or multiplicative with Gamma-distributed errors, the log-linear model is more efficient than the gray-scaled method. The extended log-linear model performs well overall for all three data-generating models. The loss of efficiency of the extended log-linear model is observed only when the error model is multiplicative with log-normally distributed errors, where the gray-scaled method is appropriate. However, the extended log-linear model is more efficient than the log-linear model in this case.     

云南肺癌易感性与HLA-A，HLA-B，DRB1，DQB1等位基因频率的相关性研究

目的:测定云南肺癌患者人类白细胞抗原(human leukocyte antigen,HLA)-A、B、DRB1、DQB1等位基因出现频率,探讨HLA各等位基因位点与云南省肺癌发病易感性的相关性。方法:采用病例-对照相关分析方法,选取云南籍肺癌患者和健康个体各30例,应用序列特异性引物聚合酶链反应(polymerase chain reaction-sequence specific primer,PCR-SSP)对HLA-A、HLA-B、HLA-DRB1及HLA-DQB1等位基因频率进行测定,与正常组对比测算相对危险因子(relative risk,RR)。结果:肺癌组的HLA-A~*02频率为90.0%(A~*0201为主),B~*46频率为40.0%,DRB1~*15频率为40.0%,较对照组的43.30%、0%、10.0%明显升高(Pc0.05,RR1)。肺癌组的HLA-A~*31频率为3.30%,A~*33频率为6.70%,B~*27频率为3.30%,B~*52频率为6.70%,DRB1~*03频率为0%,DRB3~*01频率为60.0%,DQB1~*02频率为0%,DQB1~*06频率为0%,较对照组的23.30%、26.70%、26.70%、26.70%、23.30%、86.70%、23.30%、26.70%降低明显,(RR1,Pc0.05)。结论:云南肺癌易感性可能与HLA-A~*02的频率(90%)具有相关性;而HLA-A~*31、HLA-A~*33、HLA-B~*52、HLA-B~*27、HLA-DRB1-~*03、HLA-DRB3~*01、HLA-DQB1~*02及HLA-DQB1~*06在肺癌患者中的频率较低,在云南肺癌发病中可能具有遗传拮抗作用。