Links have long been made between literacy and economic development, and recent governments in the UK have put great emphasis on the teaching of literacy to raise educational standards. There is substantial evidence to show that spoken and written language share some processes in common and that the development of literacy is supported by the development of spoken language. Anecdotal evidence from early years practitioners suggests that many children coming into early years education, particularly those from disadvantaged socioeconomic backgrounds, may not have the spoken language skills needed to develop reading and writing. This preliminary study aimed to investigate the extent to which the spoken language skills of children reared in poverty are depressed in comparison with the general population, and in comparison with their general cognitive abilities. Two tests were administered to children in their first term at nursery school to measure their spoken language skills and cognitive abilities: CELF-PUK and BAS II. More than half of the children were found to be language-delayed, although girls' receptive language abilities were significantly better than those of boys. Participants' language skills were also significantly depressed in comparison with their cognitive abilities. Government initiatives to raise awareness of spoken language in the early years are discussed, and implications for the future role of speech and language therapists working in the pre-school sector are considered.

We have achieved 3D image acquisition and segmentation of knee cartilage in a guinea pig model of chronic OA, which permits measurements previously only possible in man. High resolution and short acquisition time allowed qualitative longitudinal characterisation of the entire knee joint and enabled us to quantify for the first time longitudinal tibial cartilage volume loss associated with disease progression.

Optimization of experiments, such as those used in drug discovery, can lead to useful savings of scientific resources. Factors such as sex, strain, and age of the animals and protocol-specific factors such as timing and methods of administering treatments can have an important influence on the response of animals to experimental treatments. Factorial experimental designs can be used to explore which factors and what levels of these factors will maximize the difference between a vehicle control and a known positive control treatment. This information can then be used to design more efficient experiments, either by reducing the numbers of animals used or by increasing the sensitivity so that smaller biological effects can be detected. A factorial experimental design approach is more effective and efficient than the older approach of varying one factor at a time. Two examples of real factorial experiments reveal how using this approach can potentially lead to a reduction in animal use and savings in financial and scientific resources without loss of scientific validity.

No abstract

Personalized medicine allows the selection of treatments best suited to an individual patient and disease phenotype. To implement personalized medicine, effective tests predictive of response to treatment or susceptibility to adverse events are needed, and to develop a personalized medicine test, both high quality samples and reliable data are required. We review key features of state-of-the-art proteomic profiling and introduce further analytic developments to build a proteomic toolkit for use in personalized medicine approaches. The combination of novel analytical approaches in proteomic data generation, alignment and comparison permit translation of identified biomarkers into practical assays. We further propose an expanded statistical analysis to understand the sources of variability between individuals in terms of both protein expression and clinical variables and utilize this understanding in a predictive test.