Upper bound estimators of the population size based on ordinal models for capture‐recapture experiments

Capture‐recapture studies have attracted a lot of attention over the past few decades, especially in applied disciplines where a direct estimate for the size of a population of interest is not available. Epidemiology, ecology, public health, and biodiversity are just a few examples. The estimation of the number of unseen units has been a challenge for theoretical statisticians, and considerable progress has been made in providing lower bound estimators for the population size. In fact, it is well known that consistent estimators for this cannot be provided in the very general case. Considering a case where capture‐recapture studies are summarized by a frequency of frequencies distribution, we derive a simple upper bound of the population size based on the cumulative distribution function. We introduce two estimators of this bound, without any specific parametric assumption on the distribution of the observed frequency counts. The behavior of the proposed estimators is investigated using several benchmark datasets and a large‐scale simulation experiment based on the scheme discussed by Pledger.     

陆地生态系统环境控制实验的研究方法及技术体系

生物及生态系统与环境变化间的反馈关系及其过程机制是生态学研究的重要内容。不同类型的生物环境因素控制实验以及大尺度的联网野外控制实验被认为是认识生态系统响应和适应环境变化过程机制、精细定量表达的有效手段及认知过程的加速器。近年来发展了大型野外物理模拟实验装置网络(如ECOTRON)、生态系统分析与实验平台(AnaEE)、国际干旱实验研究网络(Drought Network)、氮沉降联合实验网络(Nutrient Network),以及基于各区域性生态观测实验站的联网控制实验(如USA-ILTER)。发展大陆尺度联网实验研究平台事业正日益受到学术界的重视,将会在认知生态系统环境响应过程机制方面发挥更重要的作用。基于以上背景,本文综述了生态系统环境控制实验的研究方法和实验体系的发展,明确指出各种类型的生物环境控制实验需要形成联合协作体系,共同解决生态系统对环境变化的响应及适应的基本科学问题。目前的控制实验包括: 1) 实验室封闭装置内的生物生理生态学控制实验;2) 野外实验场的半开放部分环境要素控制实验;3) 近自然状态的野外环境控制实验;以及4) 基于野外生态站的联网控制实验。进而,本文还深入讨论了陆地生态系统的环境响应及适应过程机制实验系统设计的发展趋势,分析了基于大尺度自然环境梯度实验及生态站尺度的要素控制实验的优势,提出了整合两种实验技术、发展新一代的野外联网实验体系的科学设想,讨论了基于野外联网控制实验的研究体系,论证了研究生态系统对环境变化短期响应和长期适应的规律和机制、生态系统环境响应定量表达的技术途径。若本文提出的控制实验体系设计方案能够得以实施,必将大大促进我国乃至全球生态系统和环境变化科学的研究水平,对我国应对气候变化和生态环境建设具有重要的科学意义。     

Active and machine learning-based approaches to rapidly enhance microbial chemical production

In order to make renewable fuels and chemicals from microbes, new methods are required to engineer microbes more intelligently. Computational approaches, to engineer strains for enhanced chemical production typically rely on detailed mechanistic models (e.g., kinetic/stoichiometric models of metabolism)—requiring many experimental datasets for their parameterization—while experimental methods may require screening large mutant libraries to explore the design space for the few mutants with desired behaviors. To address these limitations, we developed an active and machine learning approach (ActiveOpt) to intelligently guide experiments to arrive at an optimal phenotype with minimal measured datasets. ActiveOpt was applied to two separate case studies to evaluate its potential to increase valine yields and neurosporene productivity in Escherichia coli. In both the cases, ActiveOpt identified the best performing strain in fewer experiments than the case studies used. This work demonstrates that machine and active learning approaches have the potential to greatly facilitate metabolic engineering efforts to rapidly achieve its objectives.     

Exploring the influence of rural residence on uptake of organized cancer screening – A systematic review of international literature

Lower screening uptake could impact cancer survival in rural areas. This systematic review sought studies comparing rural/urban uptake of colorectal, cervical and breast cancer screening in high income countries. Relevant studies (n = 50) were identified systematically by searching Medline, EMBASE and CINAHL. Narrative synthesis found that screening uptake for all three cancers was generally lower in rural areas. In meta-analysis, colorectal cancer screening uptake (OR 0.66, 95 % CI = 0.50−0.87, I² = 85 %) was significantly lower for rural dwellers than their urban counterparts. The meta-analysis found no relationship between uptake of breast cancer screening and rural versus urban residency (OR 0.93, 95 % CI = 0.80–1.09, I² = 86 %). However, it is important to note the limitation of the significant statistical heterogeneity found which demonstrates the lack of consistency between the few studies eligible for inclusion in the meta-analyses. Cancer screening uptake is apparently lower for rural dwellers which may contribute to poorer survival. National screening programmes should consider geography in planning.     

A Method for Screening Baeyer-Villiger Monooxygenase Activity Against Monocyclic Ketones

The assay for Baeyer-Villiger monooxygenase (BVMO) enzyme activity has relied to date on the spectrophotometric change observed on the oxidation of the nicotinamide cofactor during the enzymatic reaction. By analogy to the cyclohexanol catabolic pathway of Acinetobacter calcoaceticus NCIMB 9871, we have developed a specific colorimetric screening method that utilises an esterase to cleave the lactone that is formed in the BVMO reaction. When carried out in a non-buffered or weakly buffered system the resultant change in pH can be visually detected. This allows the rapid assaying and screening of BVMO enzymes. This has been demonstrated with cyclohexanone monooxygenase from A. calcoaceticus. The resultant colour change has been visualised with washed cell suspensions, individual bacterial colonies on Petri dishes and with semi-purified recombinant enzyme utilising Linbro dishes.     

Diatoms as indicators: The influences of experimental nitrogen enrichment on diatom assemblages in sub-Arctic streams

Indices using diatoms are widely used to assess water quality, but are usually constructed from field correlations and not tested through rigorous experimentation. We tested experimentally the performance of the Sørensen and the Shannon indices, and the trophic diatom index (TDI). Nitrogen was naturally limiting in the eight remote sub-Arctic streams used and we measured the effects of experimental nitrogen enrichment on diatom assemblages. Diatom densities increased significantly in the enriched reaches but there was no significant difference in invertebrate density between control and treatment reaches. Grazing effects were thus controlled for. Diversity within streams (Shannon index) was significantly reduced by nutrient addition but the Sørensen index did not change. The trophic diatom index (TDI), which is presumed to reflect nutrient concentration, was not influenced by nutrient addition and generally the values were low in both control and treatment reaches. Densities of the diatom genera Achnanthes and Gomphonema increased significantly with enrichment while those of Nitzschia and Fragilaria decreased significantly. Less abundant diatom species, which collectively constituted around 40% in relative abundance in the control reaches, were around 15–18% in treatment reaches. Growth forms were altered by the nutrients. Diatoms attached by mucilage pads were more abundant in treated reaches compared with control reaches. Motile diatoms became scarcer. The size of diatom species was unaffected by nutrient enrichment. This study showed that it is important to test experimentally indices that are developed for particular habitats before using them elsewhere.     

Binding of methacycline to human serum albumin at subdomain IIA using multispectroscopic and molecular modeling methods

This study was designed to examine the interaction of methacyline (METC) with human serum albumin (HSA) by multispectroscopy and a molecular modeling method under simulative physiological conditions. The quenching mechanism was suggested to be static quenching based on fluorescence and ultraviolet–visible (UV–Vis) spectroscopy. According to the Vant' Hoff equation, the values of enthalpy (?H) and entropy change (?S) were calculated to be ?95.29 kJ/mol and ?218.13 J/mol/K, indicating that the main driving force of the interaction between HSA and METC were hydrogen bonds and van der Waals's forces. By performing displacement measurements, the specific binding of METC in the vicinity of Sudlow's site I of HSA was clarified. An apparent distance of 3.05 nm between Trp214 and METC was obtained via the fluorescence resonance energy transfer (FRET) method. Furthermore, the binding details between METC and HSA were further confirmed by molecular docking studies, which revealed that METC was bound at subdomain IIA through multiple interactions, such as hydrophobic effect, polar forces, hydrogen bonding, etc. The results of three‐dimensional fluorescence and Fourier transform infrared (FTIR) spectroscopy showed that METC caused conformational and some microenvironmental changes in HSA and reduced the α‐helix significantly in the range of 52.3?40.4% in HSA secondary structure. Moreover, the coexistence of metal ions such as Ca²⁺, Al³⁺, Fe³⁺, Zn²⁺, Cu²⁺, Cr³⁺ and Cd²⁺ can decrease the binding constants of METC–HSA. Copyright © 2012 John Wiley & Sons, Ltd.     

The role of proteomics in toxicology: identification of biomarkers of toxicity by protein expression analysis

Proteomics, i.e. the high throughput separation, display and identification of proteins, has the potential to be a powerful tool in drug development. It could increase the predictability of early drug development and identify non-invasive biomarkers of toxicity or efficacy. This review provides an introduction to modern proteomics, with particular reference to applications in toxicology. A literature search was carried out to identify studies in two broad classes: screening/predictive toxicology, and mechanistic toxicology. The strengths and limitations of current methods and the likely impact of techniques in drug development are also considered. Proteomics can increase the speed and sensitivity of toxicological screening by identifying protein markers of toxicity. Proteomics studies have already provided insights into the mechanisms of action of a wide range of substances, from metals to peroxisome proliferators. Current limitations involving speed of throughput are being overcome by increasing automation and the development of new techniques. The isotope-coded affinity tag (ICAT) method appears particularly promising. The application of proteomics to drug development has given rise to the new field of pharmacoproteomics. New associations between proteins and toxicopathological effects are constantly being identified, and major progress is on the horizon as we move into the post-genomic era.     

Clinical considerations in study designs that use cotinine as a biomarker

Subjects enrolled in studies are not always screened for routine habits such as smoking. Personal history is not always reliable and therefore an objective biomarker is necessary to screen for smokers. The objectives of this article were to review the metabolism of nicotine and other metabolic considerations associated with smoking; to review some of the routine methods used to assess exposure to nicotine-containing products; to revisit cotinine breakpoints utilized to distinguish smokers from non-smokers during screening for clinical trials; to assess the utility of screening questions regarding smoking practices; and to recommend standards for clinical pharmacology studies. The results indicated that cotinine levels serve as a useful biomarker of tobacco exposure; racial issues may be clinically relevant in determining smoking status; cessation of smoking should occur at least 14 days prior to the start of the study; adverse effects from nicotine withdrawal such as craving, hunger and weight gain may persist for more than 6 months; potential metabolic interactions via cytochrome P2A6 and P1A2 need to be considered when designing a study; and the use of a single calibrator as a breakpoint is acceptable if a categorical outcome such as 'smoker' versus 'non-smoker' is desired. Nicotine from food products is not expected to impact assay sensitivity or to be clinically relevant; a serum cotinine concentration of 10 ng ml^?1 be employed as a breakpoint for non-smokers versus smokers; other non-invasive alternatives are collection of urine, saliva, or hair (with suggested breakpoints of 200 ng ml^?1, 5 ng ml^?1 and 0.3 ng mg^?1, respectively; screening questions be accompanied by testing for cotinine; and the inclusion of smokers in studies should be considered once the impact of smoking on the targeted population is understood.     

Prevalencia y coste de glucemias venosas posiblemente innecesarias en atención primaria

The American Diabetes Association issues annually its recommendations for diabetes mellitus screening. Although there is a high proportion of people with undiagnosed diabetes in the general population, it is suspected that many of these screening tests could be needless.An analysis was made of the number of venous blood glucose measurements that did not meet the American Diabetes Association requirements performed in 150 people seen in primary care.On average, an unnecessary venous blood glucose measurement is performed every 15 months. The number is significantly higher in people over 45 years of age, and also in women as compared to men (although with a p value slighty higher than 0.05).