No clear trends in expatriation of non-human primate research from ­Switzerland between 2004 and 2017

Animal experimentation is commonly practiced in scientific research worldwide. However, there are no globally accepted standards for regulating the ethical boundaries and accepted practices for animal experimentation. Large differences exist between countries. A report suggested that some researchers, especially from countries with more stringent animal experimentation regulations, may be relocating experimental research to countries with less stringent regulations. We followed a systematic literature review approach to identity publications and determine whether there is an increasing trend in expatriation of non-human primate experimentation by researchers based in Switzerland. We used the Projects People Publications database, which contains projects funded by the Swiss National Science Foundation, to identify researchers conducting experiments using non-human primates. This list of names, together with terms referring to non-human primates were used to search the Web of Science. Publications without an author affiliated to a Swiss institution, no living or only with free non-human primates, and non-original research were excluded. For each publication, we recorded the place of experimentation, funding source, number of animals, species and the statement of ethical approval. We retained 120 publications, involving more than 2,429 non-human primates. Macaca mulatta and Macaca fascicularis were the most common species. We could not confirm an increasing trend in expatriation of non-human primate experimentation outside of Switzerland. Over time, publications appeared to report the ethical approval number more consistently. These results should be interpreted with caution because the sample included only studies that were: 1) published and 2) reported in the Web of Science. Consequently, studies with insignificant results may have been excluded because these studies are rarely published, and studies of poor quality may have been excluded because they are often published in lower quality journals, not indexed by the Web of Science

Electronic data collection to enhance disease surveillance at the slaughterhouse in a smallholder production system

Globally, meat inspection provides data for animal health surveillance. However, paper-based recording of data is often not reported through to higher authorities in sufficient detail. We trialled the use of an electronic meat inspection form in Kenyan slaughterhouses, in lieu of the currently used paper-based format. Meat inspectors in two ruminant slaughterhouses completed and submitted an electronic report for each animal slaughtered at their facility. The reports, which captured information on the animal demographics and any eventual condemnations, were stored in a central database and available in real-time. A stakeholder meeting was held towards the end of the study. Over the 2.75 year study period, 16,386 reports were submitted; a downward linear trend in the monthly submissions was noted. There was a week effect, whereby more reports were submitted on the market day. Of the slaughtered animals, 23% had at least a partial condemnation. The most frequently condemned organs were the liver, lungs and intestines; the primary reasons for condemnations were parasitic conditions. Lack of feedback and difficulty capturing animal origin information were the primary challenges highlighted. The study demonstrated that electronic data capture is feasible in such challenging environments, thereby improving the timeliness and resolution of the data collected

Who let the dogs out? Exploring the spatial ecology of free‐roaming domestic dogs in western Kenya

The spatial ecology of free‐roaming dogs determines their role in the transmission of zoonoses. This study describes the geographic range of and identifies sites frequently visited by free‐roaming domestic dogs in western Kenya. Eight sites in Busia county, western Kenya, were selected. At each site, ten dog‐keeping households were recruited, a questionnaire was administered, and a GPS logger was fixed around the neck of one dog in each household. Loggers were programmed to capture the dog's position every minute, for five consecutive days. Individual summaries of GPS recordings were produced, and the daily distance traveled was calculated. 50% and 95% utilization distribution isopleths were produced, and the area within these isopleths was extracted to estimate the size of the core and extended Home Ranges (HRs), respectively. Linear regression analyses were performed to identify factors associated with the movement parameters. The centroid points of the 10, 50, and 90% isopleths were reproduced, and the corresponding sites identified on the ground. Seventy‐three dogs were included in the final analyses. The median daily distance traveled was 13.5km, while the median core and extended HRs were 0.4 and 9.3 ha, respectively. Older dogs had a larger extended HR and traveled more daily, while the effect of sex on dog movement depended on their neutering status. Dogs spent most of their time at their household; other frequently visited sites included other household compounds, fields, and rubbish dumps. One of the centroids corresponded to a field located across the international Kenya–Uganda border, emphasizing the fluidity across the border in this ecosystem. Multiple dogs visited the same location, highlighting the heterogeneous contact networks between dogs, and between dogs and people. The field data presented are of value both in understanding domestic dog ecology and resource utilization, and in contextualizing infectious and parasitic disease transmission models

Single-Step Selection of Bivalent Aptamers Validated by Comparison with SELEX Using High-Throughput Sequencing

The identification of nucleic acid aptamers would be advanced if they could be obtained after fewer rounds of selection and amplification. In this paper the identification of bivalent aptamers for thrombin by SELEX and single-step selection are compared using next generation sequencing and motif finding informatics. Results show that similar aptamers are identified by both methods. This is significant because it shows that next generation sequencing and motif finding informatics have the potential to simplify the selection of aptamers by avoiding multiple rounds of enzymatic transcription and amplification

Building a multisystemic understanding of societal resilience to the COVID-19 pandemic

The current global systemic crisis reveals how globalised societies are unprepared to face a pandemic. Beyond the dramatic loss of human life, the COVID-19 pandemic has triggered widespread disturbances in health, social, economic, environmental and governance systems in many countries across the world. Resilience describes the capacities of natural and human systems to prevent, react to and recover from shocks. Societal resilience to the current COVID-19 pandemic relates to the ability of societies in maintaining their core functions while minimising the impact of the pandemic and other societal effects. Drawing on the emerging evidence about resilience in health, social, economic, environmental and governance systems, this paper delineates a multisystemic understanding of societal resilience to COVID-19. Such an understanding provides the foundation for an integrated approach to build societal resilience to current and future pandemics

Protocol for detection, diagnosis and treatment of diabetes mellitus during pregnancy

The authors present the approach to pregnant woman for screening and diagnosis of gestational diabetes mellitus (GDM) and treatment of the diabetes mellitus during pregnancy, established as routine by the Sector of High Risk Pregnancy of the Department and Gynecology and Obstetric and Division of Endocrinology and Metabolism of Medicine School of Ribeirão Preto - University of São Paulo and it was assumed as a routine pre-natal evaluation for screening and diagnosis of GDM at Ribeirão Preto Health Secretary’s Office. This protocol was based on the recommendations of the World Health Organization and the American Diabetes Organization.Os autores apresentam a abordagem da paciente gestante, para rastreamento e diagnóstico do Diabetes mellitus Gestacional (DMG) e tratamento do Diabetes mellitus durante a gravidez, estabelecida como procedimento rotineiro pelo Setor de Gestação de Alto Risco do Departamento de Ginecologia e Obstetrícia e Divisão de Endocrinologia e Metabologia do Departamento de Clínica Médica da Faculdade de Medicina de Ribeirão Preto - Universidade de São Paulo e adotado na avaliação pré-natal da Secretaria Municipal de Saúde de Ribeirão Preto para rastreamento e diagnóstico do DMG. Este protocolo foi baseado nas recomendações da Organização Mundial da Saúde e American Diabetes Association

Cross-Over between Discrete and Continuous Protein Structure Space: Insights into Automatic Classification and Networks of Protein Structures

Structural classifications of proteins assume the existence of the fold, which is an intrinsic equivalence class of protein domains. Here, we test in which conditions such an equivalence class is compatible with objective similarity measures. We base our analysis on the transitive property of the equivalence relationship, requiring that similarity of A with B and B with C implies that A and C are also similar. Divergent gene evolution leads us to expect that the transitive property should approximately hold. However, if protein domains are a combination of recurrent short polypeptide fragments, as proposed by several authors, then similarity of partial fragments may violate the transitive property, favouring the continuous view of the protein structure space. We propose a measure to quantify the violations of the transitive property when a clustering algorithm joins elements into clusters, and we find out that such violations present a well defined and detectable cross-over point, from an approximately transitive regime at high structure similarity to a regime with large transitivity violations and large differences in length at low similarity. We argue that protein structure space is discrete and hierarchic classification is justified up to this cross-over point, whereas at lower similarities the structure space is continuous and it should be represented as a network. We have tested the qualitative behaviour of this measure, varying all the choices involved in the automatic classification procedure, i.e., domain decomposition, alignment algorithm, similarity score, and clustering algorithm, and we have found out that this behaviour is quite robust. The final classification depends on the chosen algorithms. We used the values of the clustering coefficient and the transitivity violations to select the optimal choices among those that we tested. Interestingly, this criterion also favours the agreement between automatic and expert classifications. As a domain set, we have selected a consensus set of 2,890 domains decomposed very similarly in SCOP and CATH. As an alignment algorithm, we used a global version of MAMMOTH developed in our group, which is both rapid and accurate. As a similarity measure, we used the size-normalized contact overlap, and as a clustering algorithm, we used average linkage. The resulting automatic classification at the cross-over point was more consistent than expert ones with respect to the structure similarity measure, with 86% of the clusters corresponding to subsets of either SCOP or CATH superfamilies and fewer than 5% containing domains in distinct folds according to both SCOP and CATH. Almost 15% of SCOP superfamilies and 10% of CATH superfamilies were split, consistent with the notion of fold change in protein evolution. These results were qualitatively robust for all choices that we tested, although we did not try to use alignment algorithms developed by other groups. Folds defined in SCOP and CATH would be completely joined in the regime of large transitivity violations where clustering is more arbitrary. Consistently, the agreement between SCOP and CATH at fold level was lower than their agreement with the automatic classification obtained using as a clustering algorithm, respectively, average linkage (for SCOP) or single linkage (for CATH). The networks representing significant evolutionary and structural relationships between clusters beyond the cross-over point may allow us to perform evolutionary, structural, or functional analyses beyond the limits of classification schemes. These networks and the underlying clusters are available at http://ub.cbm.uam.es/research/ProtNet.ph