Schwartz Formula: Is One k-Coefficient Adequate for All Children?

Background/Objective

Plasma-creatinine-based equations to estimate the glomerular filtration rate are recommended by several clinical guidelines. In 2009, Schwartz et al. adapted the traditional Schwartz equation to children and adolescents but did not find different k-coefficients between children and adolescents (k = 36.5 for all patients). We reevaluated the coefficient of the 2009-Schwartz formula according to sex and age in a pediatric population.

Patients/Methods

We used linear mixed-effects models to reestimate the 2009-Schwartz k-coefficient in 360 consecutive French subjects aged 1 to 18 years referred to a single centre between July 2003 and July 2010 (965 measurements). We assessed the agreement between the estimated glomerular filtration rate obtained with the new formula (called Schwartz-Lyon) and the rate measured by inulin clearance. We then compared this agreement to the one between the measured glomerular filtration rate and 2009-Schwartz formula, first in the French then in a Swedish cohort.

Results

In Schwartz-Lyon formula, k was estimated at 32.5 in boys <13 years and all girls and at 36.5 in boys aged ≥13 years. The performance of this formula was higher than that of 2009-Schwartz formula in children <13 years. This was first supported by a statistically significant reduction of the overestimation of the measured glomerular filtration rate in both cohorts, by better 10% and 30% accuracies, and by a better concordance correlation coefficient.

Conclusions

The performance and simplicity of Schwartz formula are strong arguments for its routine use in children and adolescents. The specific coefficient for children aged <13 years further improves this performance.     

Justice For All? Children’s Moral Reasoning about the Welfare and Rights of Endangered Species

This study reports children’s developing moral concerns for endangered animals. Three questions were addressed: 1) Do children conceive of not harming an endangered animal as a moral obligation? 2) Do children use biocentric (nature-centered) moral reasoning? and 3) Does a developmental shift in biocentrism occur between the ages of 7and 10-years-old? Fifty-two urban children (gender balanced and evenly divided between two ages groups: 7 and 10-year-olds) from the Pacific Northwest were interviewed regarding their understanding of, and beliefs and values about, endangered animals, their moral obligatory concerns, and their conceptions of animal rights. Many questions focused on a single species—the gray wolf— as it presents a canonical example of a local, familiar, charismatic endangered animal. The semi-structured interview methodology and the coding procedures followed well-established methods in social-cognitive psychology. Results were that the 7 and 10-year-olds valued endangered animals, extended moral obligations to gray wolves, and endorsed animal rights. Quantitative analysis of the content responses revealed a typology of seven rights that children spontaneously offered when asked which rights animals have: food, companionship, reproduction, habitat, play/exercise, welfare, and autonomy. The 10-year-olds were significantly more likely to endorse autonomy rights than the 7-year-olds. The findings reveal the highest rates of biocentrism observed in young children, and the 10-year-olds endorsed biocentrism to a greater degree than the 7-year-olds. Children drew on their understanding of human moral concerns to extend these concerns to the animal. Sentiency and biological needs are salient features that allow children to take the perspective of the animal in ways that build upon and diverge from their own experiences. These findings provide a comparative baseline for extending our understanding of biocentrism across cultures, animal kinds, and in human–wildlife conflict scenarios.     

Sequence Search Algorithms for Single Pass Sequence Identification: Does One Size Fit All?

Bioinformatic tools have become essential to biologists in their quest to understand the vast quantities of sequence data, and now whole genomes, which are being produced at an ever increasing rate. Much of these sequence data are single-pass sequences, such as sample sequences from organisms closely related to other organisms of interest which have already been sequenced, or cDNAs or expressed sequence tags (ESTs). These single-pass sequences often contain errors, including frameshifts, which complicate the identification of homologues, especially at the protein level. Therefore, sequence searches with this type of data are often performed at the nucleotide level. The most commonly used sequence search algorithms for the identification of homologues are Washington University's and the National Center for Biotechnology Information's (NCBI) versions of the BLAST suites of tools, which are to be found on websites all over the world. The work reported here examines the use of these tools for comparing sample sequence datasets to a known genome. It shows that care must be taken when choosing the parameters to use with the BLAST algorithms. NCBI's version of gapped BLASTn gives much shorter, and sometimes different, top alignments to those found using Washington University's version of BLASTn (which also allows for gaps), when both are used with their default parameters. Most of the differences in performance were found to be due to the choices of default parameters rather than underlying differences between the two algorithms. Washington University's version, used with defaults, compares very favourably with the results obtained using the accurate but computationally intensive Smith-Waterman algorithm.     

All thumbs?

In this otherwise insightful line of investigation, some aspects of rules of thumb (RoT) remain underspecified: their evolution and function, how they are selected for a task, how they are learned, and the dependence of their apparent simplicity on their embodiment and context. Theories of operant and respondent conditioning may serve as the theoretical framework required to flesh out those details.     

What Are Aquaporins For?

The prime function of aquaporins (AQPs) is generally believed to be that of increasing water flow rates across membranes by raising their osmotic or hydraulic permeability. In addition, this applies to other small solutes of physiological importance. Notable applications of this simple permeability hypothesis (SPH) have been epithelial fluid transport in animals, water exchanges associated with transpiration, growth and stress in plants, and osmoregulation in microbes. We first analyze the need for such increased permeabilities and conclude that in a range of situations at the cellular, subcellular and tissue levels the SPH cannot satisfactorily account for the presence of AQPs. The analysis includes an examination of the effects of the genetic elimination or reduction of AQPs (knockouts, antisense transgenics and null mutants). These either have no effect, or a partial effect that is difficult to explain, and we argue that they do not support the hypothesis beyond showing that AQPs are involved in the process under examination. We assume that since AQPs are ubiquitous, they must have an important function and suggest that this is the detection of osmotic and turgor pressure gradients. A mechanistic model is proposed—in terms of monomer structure and changes in the tetrameric configuration of AQPs in the membrane—for how AQPs might function as sensors. Sensors then signal within the cell to control diverse processes, probably as part of feedback loops. Finally, we examine how AQPs as sensors may serve animal, plant and microbial cells and show that this sensor hypothesis can provide an explanation of many basic processes in which AQPs are already implicated. Aquaporins are molecules in search of a function; osmotic and turgor sensors are functions in search of a molecule.     

All signaling is local?

The mechanism of signal transmission following ligand stimulation of receptor tyrosine kinases in living cells is poorly understood. Recent studies have visualized the spatio-temporal pattern of EGF signaling, indicating that receptor density is an important factor in the mechanism of lateral propagation of local EGF signaling.     

Diagnoses and Treatments in Health-Classified Fattening Herds Rearing Pigs All In – All Out

This study describes diseases encountered, medications used and veterinary involvement in all in – all out finishing herds belonging to one pork production system. The finishing herds had a particular management and housing regime. The pigs originated from health classified farrowing units. Information on 207442 pigs was collected from 595 log books. Altogether 91% of the pigs received no treatments. Four percent of the batches of pigs were given antimicrobial mass medications. The local veterinarian visited the herds on average 2.6 times during the finishing period and made the diagnoses in more than half of the cases. At least one pig was affected with arthritis or tail biting in more than half of the batches, whereas locomotory diseases were recorded in one third of the batches. All other diagnoses were encountered in 1%-13% of the batches. Only a few pigs were treated individually in the affected groups. Antimicrobial drugs were given to 8% and other medicines to 0.7% of the pigs. The diagnosis was missing at least for one pig in 29% of the batches and the information about the medicine use in 8% of the treatments was missing. The study shows that it is possible to rear finishing pigs with only a small proportion of the animals needing treatments. The need of mass medications was low, because infectious diseases affecting the whole herd were uncommon. The recommendations for antimicrobial use given by the authorities had been followed quite well. The farmers and the veterinarians should be educated in order to realise the importance of proper record keeping.     

Mixing Languages during Learning? Testing the One Subject—One Language Rule

In bilingual communities, mixing languages is avoided in formal schooling: even if two languages are used on a daily basis for teaching, only one language is used to teach each given academic subject. This tenet known as the one subject-one language rule avoids mixing languages in formal schooling because it may hinder learning. The aim of this study was to test the scientific ground of this assumption by investigating the consequences of acquiring new concepts using a method in which two languages are mixed as compared to a purely monolingual method. Native balanced bilingual speakers of Basque and Spanish—adults (Experiment 1) and children (Experiment 2)—learnt new concepts by associating two different features to novel objects. Half of the participants completed the learning process in a multilingual context (one feature was described in Basque and the other one in Spanish); while the other half completed the learning phase in a purely monolingual context (both features were described in Spanish). Different measures of learning were taken, as well as direct and indirect indicators of concept consolidation. We found no evidence in favor of the non-mixing method when comparing the results of two groups in either experiment, and thus failed to give scientific support for the educational premise of the one subject—one language rule.     

A Step Forward in Precision Medicine on “One Belt One Road”

<正>The story started nearly a year ago.On October 13 in 2016,a NewsViews article entitled ‘‘Precision medicine:what challenges are we facing?",written by a group of 21 bioinformaticians in China,who are actively involved in the relevant research,was released online in Genomics Proteomics Bioinformatics[1].A month later,an invitation arrived from a Thai col-     

“One Health” or Three? Publication Silos Among the One Health Disciplines

The One Health initiative is a global effort fostering interdisciplinary collaborations to address challenges in human, animal, and environmental health. While One Health has received considerable press, its benefits remain unclear because its effects have not been quantitatively described. We systematically surveyed the published literature and used social network analysis to measure interdisciplinarity in One Health studies constructing dynamic pathogen transmission models. The number of publications fulfilling our search criteria increased by 14.6% per year, which is faster than growth rates for life sciences as a whole and for most biology subdisciplines. Surveyed publications clustered into three communities: one used by ecologists, one used by veterinarians, and a third diverse-authorship community used by population biologists, mathematicians, epidemiologists, and experts in human health. Overlap between these communities increased through time in terms of author number, diversity of co-author affiliations, and diversity of citations. However, communities continue to differ in the systems studied, questions asked, and methods employed. While the infectious disease research community has made significant progress toward integrating its participating disciplines, some segregation—especially along the veterinary/ecological research interface—remains.