Objectively Measured Walking Duration and Sedentary Behaviour and Four-Year Mortality in Older People

BackgroundPhysical activity is an important component of health. Recommendations based on sensor measurements are sparse in older people. The aim of this study was to analyse the effect of objectively measured walking and sedentary duration on four-year mortality in community-dwelling older people.MethodsBetween March 2009 and April 2010, physical activity of 1271 participants (≥65 years, 56.4% men) from Southern Germany was measured over one week using a thigh-worn uni-axial accelerometer (activPAL; PAL Technologies, Glasgow, Scotland). Mortality was assessed during a four-year follow-up. Cox-proportional-hazards models were used to estimate the associations between walking (including low to high intensity) and sedentary duration with mortality. Models were adjusted for age and sex, additional epidemiological variables, and selected biomarkers.ResultsAn inverse relationship between walking duration and mortality with a minimum risk for the 3rd quartile (102.2 to128.4 minutes walking daily) was found even after multivariate adjustment with HRs for quartiles 2 to 4 compared to quartile 1 of 0.45 (95%-CI: 0.26; 0.76), 0.18 (95%-CI: 0.08; 0.41), 0.39 (95%-CI: 0.19; 0.78), respectively. For sedentary duration an age- and sex-adjusted increased mortality risk was observed for the 4th quartile (daily sedentary duration ≥1137.2 min.) (HR 2.05, 95%-CI: 1.13; 3.73), which diminished, however, after full adjustment (HR 1.63, 95%-CI: 0.88; 3.02). Furthermore, our results suggest effect modification between walking and sedentary duration, such that in people with low walking duration a high sedentary duration was noted as an independent factor for increased mortality.ConclusionsIn summary, walking duration was clearly associated with four-year overall mortality in community-dwelling older people.     

Evolution and Conservation of Central African Biodiversity: Priorities for Future Research and Education in the Congo Basin and Gulf of Guinea

The tropical forests of the Congo Basin and Gulf of Guinea harbor some of the greatest terrestrial and aquatic biological diversity in the world. However, our knowledge of the rich biological diversity of this region and the evolutionary processes that have shaped it remains limited, as is our understanding of the capacity for species to adapt or otherwise respond to current and projected environmental change. In this regard, research efforts are needed to increase current scientific knowledge of this region's biodiversity, identify the drivers of past diversification, evaluate the potential for species to adapt to environmental change and identify key populations for future conservation. Moreover, when evolutionary research is combined with ongoing environmental monitoring efforts, it can also provide an important set of tools for assessing and mitigating the impacts of development activities. Building on a set of recommendations developed at an international workshop held in Gabon in 2011, we highlight major areas for future evolutionary research that could be directly tied to conservation priorities for the region. These research priorities are centered around five disciplinary themes: (1) documenting and discovering biodiversity; (2) identifying drivers of evolutionary diversification; (3) monitoring environmental change; (4) understanding community and ecosystem level processes; (5) investigating the ecology and epidemiology of disease from an evolutionary perspective (evolutionary epidemiology). Furthermore, we also provide an overview of the needs and priorities for biodiversity education and training in Central Africa.     

Serial Measurements of N-Terminal Pro-Brain Natriuretic Peptide in Patients with Coronary Heart Disease

Objective

To assess the prognostic value of 12-months N-Terminal Pro-Brain Natriuretic Peptide (NT-proBNP) levels on adverse cardiovascular events in patients with stable coronary heart disease.

Methods

NT-proBNP concentrations were measured at baseline and at 12-months follow-up in participants of cardiac rehabilitation (median follow-up 8.96 years). Cox-proportional hazards models evaluated the prognostic value of log-transformed NT-proBNP levels, and of 12-months NT-proBNP relative changes on adverse cardiovascular events adjusting for established risk factors measured at baseline.

Results

Among 798 participants (84.7% men, mean age 59 years) there were 114 adverse cardiovascular events. 12-months NT-proBNP levels were higher than baseline levels in 60 patients (7.5%) and numerically more strongly associated with the outcome in multivariable analysis (HR 1.65 [95% CI 1.33–2.05] vs. HR 1.41 [95% CI 1.12–1.78], with a net reclassification improvement (NRI) of 0.098 [95% CI 0.002–0.194] compared to NRI of 0.047 [95% CI −0.0004–0.133] for baseline NT-proBNP levels. A 12-month 10% increment of NT-proBNP was associated with a HR of 1.35 [95% CI 1.12–1.63] for the onset of an adverse cardiovascular event. Subjects with a 12-month increment of NT-proBNP had a HR of 2.56 [95% CI 1.10–5.95] compared to those with the highest 12-months reduction.

Conclusions

Twelve-months NT-proBNP levels after an acute cardiovascular event are strongly associated with a subsequent event and may provide numerically better reclassification of patients at risk for an adverse cardiovascular event compared to NT-proBNP baseline levels after adjustment for established risk factors.     

A structural model for duck hepatitis B virus core protein derived by extensive mutagenesis

Duck hepatitis B virus (DHBV) shares many fundamental features with human HBV. However, the DHBV core protein (DHBc), forming the nucleocapsid shell, is much larger than that of HBV (HBc) and, in contrast to HBc, there is little direct information on its structure. Here we applied an efficient expression system for recombinant DHBc particles to the biochemical analysis of a large panel of mutant DHBc proteins. By combining these data with primary sequence alignments, secondary structure prediction, and three-dimensional modeling, we propose a model for the fold of DHBc. Its major features are a HBc-like two-domain structure with an assembly domain comprising the first about 185 amino acids and a C-terminal nucleic acid binding domain (CTD), connected by a morphogenic linker region that is longer than in HBc and extends into the CTD. The assembly domain shares with HBc a framework of four major α-helices but is decorated at its tip with an extra element that contains at least one helix and that is made up only in part by the previously predicted insertion sequence. All subelements are interconnected, such that structural changes at one site are transmitted to others, resulting in an unexpected variability of particle morphologies. Key features of the model are independently supported by the accompanying epitope mapping study. These data should be valuable for functional studies on the impact of core protein structure on virus replication, and some of the mutant proteins may be particularly suitable for higher-resolution structural investigations.     

Palaeoserology – teeth put into ancient plagues and pandemics

Based on archived medical records and evolutionary modelling, a Coronavirus has been hypothesized as root and causative agent of the so-called ‘Russian Flu’ pandemic that surged in 1889–1890. In a Correspondence published in this volume of Microbial Biotechnology, Ramassy and colleagues try to support historical evidence by true experimental data using 'palaeoserology', a novel approach combining archaeology and modern immunological analysis. This Opinion piece tries to weigh arguments how strong such data may be, and where a refinement of methodology might be desirable before textbooks of medical history switch to call the 1890s pandemic ‘Russian Corona’.     

Favipiravir (T-705) inhibits in vitro norovirus replication

Human noroviruses are the primary cause of foodborne gastroenteritis. Potent and safe inhibitors are needed for the treatment/prophylaxis of norovirus infections. We demonstrate that Favipiravir [T-705, a drug in advanced clinical development for the treatment of infections with the influenza virus] inhibits in vitro murine norovirus replication. Time-of-drug addition studies reveal that T-705 exerts its activity at a time-point that coincides with onset of viral RNA synthesis, which is in line with the viral polymerase as the presumed target.     

A Variant In the Abo Gene Explains the Variation in Soluble E-Selectin Levels—Results from Dense Genotyping in Two Independent Populations

Background

Elevated soluble (s) E-selectin levels have been associated with various cardiovascular diseases. Recently, genetic variants in the ABO blood group have been related to E-selectin levels in a small cohort of patients with type 1 diabetes. We evaluated whether this association is reproducible in two large samples of Caucasians.

Methodology/ Principal Findings

Data of the present study was drawn from the population-based MONICA/KORA Augsburg study (n = 1,482) and the patients-based LURIC study (n = 1,546). A high-density genotyping array (50K IBC Chip) containing single-nucleotide polymorphisms (SNPs) from E-selectin candidate genes selected on known biology of E-selectin metabolism, mouse genetic studies, and human genetic association studies, was used for genotyping. Linear regression analyses with adjustment for age and sex (and survey in KORA) were applied to assess associations between gene variants and sE-selectin concentrations. A number of 12 SNPs (in KORA) and 13 SNPs (in LURIC), all from the ABO blood group gene, were significantly associated with the log-transformed concentration of E-selectin. The strongest association was observed for rs651007 with a change of log-transformed sE-selectin per one copy of the minor allele of −0.37 ng/ml (p = 1.87×10⁻¹⁰³) in KORA and −0.35 ng/ml (p = 5.11×10⁻⁸⁴) in LURIC. Inclusion of rs651007 increased the explained sE-selectin variance by 0.256 in KORA and 0.213 in LURIC. All SNPs had minor allele frequencies above 20% showing a substantial gene variation.

Conclusions/ Significance

Our findings in two independent samples indicate that the genetic variants at the ABO locus affect sE-selectin levels. Since distinct genome-wide association studies linked the ABO gene with myocardial infarction (MI) in the presence of coronary atherosclerosis and with coronary artery disease, these findings may not only enhance our understanding of adhesion molecule biology, but may also provide a focus for several novel research avenues.     

A review of the impact of pipelines and power lines on biodiversity and strategies for mitigation

Linear infrastructure such as pipelines and power lines is ubiquitous and responsible for loss of habitats and disruption of landscape connectivity. We reviewed published research to answer the following questions: (1) Which organisms are commonly used to indicate impacts of pipelines and power lines to biodiversity? (2) How do pipelines and power lines impact biodiversity? and (3) How are these impacts mitigated? Studies of pipelines most often used mammals and plants as bioindicators, whereas studies of power lines focused largely on birds and plants. A myriad of impacts were identified, including the mortality of plants during construction, changes to the structure and composition of plant and animal communities that resulted from construction, the creation of open and shrubby corridors within intact forests, and collisions and electrocutions of birds with power lines. However, in most studies baseline data were not collected, so magnitudes of the impacts are often unknown. Mitigation in many studies was mentioned only in the discussion as a way to reduce impacts, but mitigation techniques were rarely tested directly. We outline considerations when selecting bioindicators—research that takes a community- or ecosystem-level approach will more fully determine the scope of impacts of linear infrastructure than the historical approach of focusing on populations of select bioindicators. Mitigation strategies must ultimately result from appropriate baseline studies, scientific data collection and analyses, and be implemented within an adaptive management strategy.