社区2型糖尿病患者血糖自我管理水平调查及并发糖尿病周围神经病变的影响因素分析

摘要 目的：调查社区2型糖尿病（T2DM）患者血糖自我管理水平及分析T2DM并发糖尿病周围神经病变（DPN）的影响因素。方法：于2016年6月~2017年6月期间采用整群随机抽样法随机抽取苏州市6个社区符合纳排标准的539例T2DM患者进行问卷调查,了解社区T2DM患者血糖自我管理水平情况,对患者进行体格检查并检测血生化指标,统计社区T2DM患者的DPN发生情况,采用多因素logistic回归分析T2DM患者并发DPN的影响因素。结果：本次研究共发放调查问卷539份,实际回收531份,其中T2DM并发DPN者86例,根据是否并发DPN将所有入选患者分为DPN组（n=86）和无DPN组（n=445）。社区T2DM患者的糖尿病自我管理行为量表（SDSCA）平均得分率为（49.38±5.23）%,DPN组和无DPN组在病程、体质量指数（BMI）、腰围、糖化血红蛋白（HbAlc）、空腹胰岛素（FINS）、低 密 度 脂 蛋 白（LDL-C）、血 尿 素 氮（BUN）、血肌酐（Cr）、合并外周动脉疾病（PAD）、合并糖尿病视网膜病变（DR）中比较差异有统计学意义（P<0.05）。多因素logistic回归分析结果显示：病程≥7年、HbAlc≥8 mmol/L、合并PAD、合并DR、BMI≥25 kg/m²是社区 T2DM患者并发DPN的危险因素（P<0.05）。结论：苏州市6个社区的T2DM患者血糖自我管理水平较低,且T2DM并发DPN的概率较高,病程≥7年、HbAlc≥8 mmol/L、合并PAD、合并DR、BMI≥25 kg/m²均是社区 T2DM患者并发DPN的危险因素,临床可对上述危险因素采取积极有效的措施,以有效降低T2DM并发DPN的发生率。     

Sharp changes in resource availability may induce spatial nearly periodic population abundances

For many years, scientists have tried to understand the ubiquitous discrete nature of traits. As the emergence of nonuniform patterns in space via instability of the uniform pattern to spatial perturbations is well-understood in reaction–diffusion systems, several studies have suggested that a similar instability underlies discrete distributions of traits. In contrast, here we suggest that a different mechanism may underly species’ discrete distributions of trait values. We show that a point where niche availability changes sharply along the continuous niche axis promotes the discretized distribution of trait values even far from that point. In certain cases, this mechanism may apply also to patterns of population densities over space, such as patterns that were observed in vegetation biomass, as locations where environment changes sharply may promote spatially, nearly periodic stationary patterns.     

Remedial habitat creation: does Nereis diversicolor play a confounding role in the colonisation and establishment of the pioneering saltmarsh plant, Spartina anglica?

Increasing concerns over global warming and expected sea level rises have led to the adoption of new coastal management strategies around the south-east coast of England. This paper explores the role played by the estuarine invertebrate Nereis diversicolor in limiting the colonisation and establishment of the invasive pioneering salt marsh plant, Spartina anglica. The biology of N. diversicolor is briefly reviewed and data from field experiments are presented demonstrating significant negative effects of worm abundance on transplanted S. anglica biomass. Laboratory-based experiments demonstrated significant negative effects of N. diversicolor abundance on the survival of S. anglica seeds transplanted to sediment cores. The importance of estuarine invertebrates in engineering the mudflat habitat may confound the foreseen ecosystem services and function provided by saltmarsh management schemes. Received: 15 February 1999 / Received in revised form: 4 June 1999 / Accepted: 11 June 1999     

西沙宣德群岛海域浮游植物群落及其影响因子

为了解西沙宣德群岛海域浮游植物群落结构特征,于2019年2月和11月对该海域进行采样调查,分析浮游植物群落组成及环境影响因素。两个航次共发现109种浮游植物,其中硅藻门最多,有81种。冬秋季节优势种不尽相同,冬季优势种为铁氏束毛藻(Trichodesmium thiebautii)、红海束毛藻(T. erythraeum)和标志星杆藻(Asterionella notata)等,秋季优势种为菱形海线藻(Thalassionema nitzschioides)、丹麦细柱藻(Leptocylindrus danicus)和劳氏角毛藻(Chaetoceros lorenzianus)。冬季浮游植物平均丰度[(5.27±6.14)×10⁷ cells/L]显著高于秋季[(1.56±1.40)×10⁵ cells/L]。浮游植物群落分布主要受亚硝酸盐、盐度等环境因子影响。冬秋季各站位浮游植物群落的多样性指数、均匀度指数和丰富度指数平均值分别为3.15、0.71、1.36和3.28、0.75、1.77。因此,宣德群岛海域冬秋季节浮游植物群落多样性较高,物...     

高矿浆浓度下黄铜矿浸出过程中微生物群落结构变化规律

目的：为阐明微生物群落演替及功能与浸出效率之间关系奠定基础,以及如何提高黄铜矿生物浸出效率和铜回收率提供理 论依据。方法：通过连续传代培养进行驯化,使得复合菌群的矿浆浓度耐受能力达到25 %（w/v）。采用该复合菌群在25 %矿浆浓 度下浸出黄铜矿,同时利用变性梯度凝胶电泳和克隆文库技术分析浸出过程中的微生物多样性。最后,采用实时荧光定量PCR 对 浸出过程中微生物群落结构进行定量解析。结果：28天内黄铜矿浸出率能够达到95.1 %,而驯化前的浸出率只有51.5%。该复合 菌群主要由Acidithiobacillus caldus, Sulfobacillus acidophilus,和Fereoplasma theroplasma thermophilum组成,其中Acidithbacillus caldus是浸出前期和后期的优势种群,而Sulfobacillus acidophilus在浸出中期均有竞争优势, Ferroplasma thermophilum在整个浸出过程中占 据整个群落的比例均较低。结论：本研究获得的复合菌群具有较强的浸出黄铜矿能力, Acidithiobacillus caldus和Sulfobacillus acidophilus在浸出过程中起着重要的作用,pH 值和铜浸出率与群落结构相关性较高。     

NetCooperate: a network-based tool for inferring host-microbe and microbe-microbe cooperation

Background

Host-microbe and microbe-microbe interactions are often governed by the complex exchange of metabolites. Such interactions play a key role in determining the way pathogenic and commensal species impact their host and in the assembly of complex microbial communities. Recently, several studies have demonstrated how such interactions are reflected in the organization of the metabolic networks of the interacting species, and introduced various graph theory-based methods to predict host-microbe and microbe-microbe interactions directly from network topology. Using these methods, such studies have revealed evolutionary and ecological processes that shape species interactions and community assembly, highlighting the potential of this reverse-ecology research paradigm.

Results

NetCooperate is a web-based tool and a software package for determining host-microbe and microbe-microbe cooperative potential. It specifically calculates two previously developed and validated metrics for species interaction: the Biosynthetic Support Score which quantifies the ability of a host species to supply the nutritional requirements of a parasitic or a commensal species, and the Metabolic Complementarity Index which quantifies the complementarity of a pair of microbial organisms’ niches. NetCooperate takes as input a pair of metabolic networks, and returns the pairwise metrics as well as a list of potential syntrophic metabolic compounds.

Conclusions

The Biosynthetic Support Score and Metabolic Complementarity Index provide insight into host-microbe and microbe-microbe metabolic interactions. NetCooperate determines these interaction indices from metabolic network topology, and can be used for small- or large-scale analyses. NetCooperate is provided as both a web-based tool and an open-source Python module; both are freely available online at http://elbo.gs.washington.edu/software_netcooperate.html.     

Fungal community assembly in soils and roots under plant invasion and nitrogen deposition

Fungal community composition in the Anthropocene is driven by rapid changes in environmental conditions caused by human activities. This study examines the relative importance of two global change drivers – atmospheric nitrogen (N) deposition and annual grass invasion – on structuring fungal communities in a California chaparral ecosystem, with emphasis on arbuscular mycorrhizal fungi. We used molecular markers, functional groupings, generalized linear statistics and joint distribution modeling, to examine how environmental variables structure taxonomic and functional composition of fungal communities. Invasive grasses had a lower richness and relative abundance of symbiotic fungi (both AMF and other fungi) compared to native shrubs. We found a higher richness and abundance of rhizophilic (e.g. Glomeraceae) and edaphophilic (e.g. Gigasporaceae) AMF with increasing soil NO₃. Our findings suggest that invasive persistence may decrease the presence of multiple soil symbionts that native species depend on for pathogen protection and increased access to soil resources.     

Changes in community structure and photosynthetic activities of total phytoplankton species during the growth,maintenance, and dissipation phases of a Prorocentrum donghaiense bloom

The potential interactions between the bloom-forming dinoflagellates and other phytoplankton during the algal bloom cycle are interesting, while the causes for the phytoplankton community changes were not fully understood. We hypothesized that phytoplankton community structure and photosynthetic activities of total phytoplankton have their special characteristics in different phases of the algal blooms. To test this hypothesis, a survey covering the process of a Prorocentrum donghaiense bloom in coastal waters between Dongtou and Nanji Islands was carried out from 9 to 20 May 2016, and the changes in the phytoplankton community and photosynthetic activities of total phytoplankton were determined. Surface seawater was sampled for microscopic analysis of phytoplankton composition and pulse amplitude modulated (PAM) chlorophyll fluorescence analysis of photosynthetic activities of the total phytoplankton species. A total of 25, 31, and 19 phytoplankton species were identified in its growth (9–12 May), maintenance (13–18 May) and dissipation phases (19–20 May), respectively. Diatoms were dominant in terms of species number while dinoflagellates were predominant at cell abundance. Dinoflagellates were the major dominant species during three phases of the bloom based on the dominance (Y) value, whereas the dominant species extended to dinoflagellates and diatoms including P. donghaiense, Coscinodiscus argus, Gonyaulax spinifera, Cyclotella sp. and Scrippsiella trochoidea in the dissipation phase. In the maintenance phase, the average cell abundances of the total phytoplankton and P. donghaiense were consistent with the chlorophyll a (Chla) concentration in the seawater; for the diversity indices of total phytoplankton species, Simpson index (C) was the highest while Shannon index (H′) and Pielou evenness index (J′) were the lowest. Furthermore, photosynthetic activities of the total phytoplankton species represented by the effective quantum yield (F_q'/F_m') and the maximum relative electron transport rate (rETR_max) in the maintenance phase were higher than those in the growth and dissipation phases. The results indicated that the characteristics of phytoplankton community structure and photosynthetic activities could be regarded as criteria in predicting the phases of algal blooms.     

Scents and scents-ability: pollution disrupts chemical social recognition and shoaling in fish

Chemical cues are of enormous importance in mediating the behaviour of animals, enabling them to navigate throughout their habitats, to detect the presence of predators or prey and for social recognition-identifying and discriminating between conspecifics. In many species of freshwater fish, social recognition is known to be based primarily on chemical cues. Such recognition mechanisms are vulnerable to disruption by the presence of anthropogenic contaminants in the aquatic environment. Here we show that acute exposure to low, environmentally relevant dosages of the ubiquitous contaminant, 4-nonylphenol, can seriously affect social recognition and ultimately social organization in fishes. A 1 hour 0.5 microgl-1 dose was sufficient to alter the response of members of a shoaling fish species (juvenile banded killifish, Fundulus diaphanus) to conspecific chemical cues. Dosages of 1-2 microgl-1 caused killifish to orient away from dosed conspecifics, in both a flow channel and an arena. Given the overall importance of shoaling as an adaptive strategy against predators and for locating food, it is likely that its disruption by anthropogenic contaminants would have serious implications for fishes' fitness.     

Synanthropic primates in Asia: Potential sentinels for environmental toxins

Macaques are similar to humans both physiologically and behaviorally. In South and Southeast Asia they are also synanthropic, ecologically associated with humans. Synanthropy with humans raises the possibility that macaques come into contact with anthropogenic toxicants, such as lead and mercury, and might be appropriate sentinels for human exposures to certain toxic materials. We measured lead (Pb) and mercury (Hg) levels and characterized the stable isotopic compositions of δ¹⁵N and δ¹³C in hair from three groups of free‐ranging macaques at the Swoyambhu temple in Kathmandhu, Nepal, an urban population that has abundant contact with humans. Hair lead levels were significantly higher among young macaques and differed among the three groups of macaques that were sampled. Hair Hg levels were low. No statistical association was found between stable isotopic compositions (δ¹⁵N and δ¹³C) and Pb and Hg levels. Our data did not find evidence that lead levels were associated with diet. We conclude that, in this population of macaques, behavioral and/or physiologic factors may play a significant role in determining exposure to lead. Chemical analysis of hair is a promising, noninvasive technique for determining exposure to toxic elements in free‐ranging nonhuman primates. Am J Phys Anthropol, 2010. © 2009 Wiley‐Liss, Inc.