Effects of spaceflight on the proliferation of jejunal mucosal cells

The mitotic indices, villus heights, and crypt depths were determined in each of three jejunal regions (proximal, middle, and distal) for five animals each in the flight, vivarium, and synchronous groups. Because of the rapid turnover of intestinal mucosal cells and the delay in recovering the flight animals, it is not known whether the proliferation of jejunal mucosal cells is affected by microgravity conditions associated with spaceflight. However, since there were no consistent differences between animals in the flight group and those in the synchronous and vivarium control groups, it appears that any effects of microgravity on the turnover of jejunal mucosal cells are short-lived. Thus, this study represents an initial step in determining the effects of microgravity on the proliferation and turnover of intestinal mucosal cells.     

The potential of seaweed as a source of drugs for use in cancer chemotherapy

This review discusses studies on marine macroalgae that have been investigated for their potential as sources of novel anti-cancer drugs. The review highlights the very large number of studies of crude, partially purified and purified seaweed extracts, collected from many locations, which have shown potential as sources of potent anti-cancer drugs when tested in vitro and/or in vivo. The activity of polysaccharides, polyphenols, proteinaceous molecules, carotenoids, alkaloids, terpenes and others is described here. In some reports, mechanistic studies have identified specific inhibitory activity on a number of key cellular processes including apoptosis pathways, telomerase and tumour angiogenesis. However, despite the potential shown by these studies, translation to clinically useful preparations is almost non-existent. It is hoped this review will serve as a source document and guide for those carrying out research into the potential use of macroalgae as a source of novel anti-cancer agents.     

Opinions of UK Rescue Shelter and Rehoming Center Workers on the Problems Facing Their Industry

Animal shelters exist worldwide to care for and rehome unwanted or straying pets. Previous studies have examined why owners breed unwanted animals, or relinquish their pets to shelters. However, the views of shelter workers, who receive and care for these animals, have previously been largely unexplored. The aim of this study was to investigate the perceptions of animal shelter workers on the problems facing their industry. A sampling frame was constructed, consisting of every identified shelter in the UK, and a postal questionnaire sent to each. This included two open questions, soliciting respondents’ views on their biggest problems, and inviting further comments. A total of 661 respondents replied to at least one question. Thematic analysis on the free text content was carried out, and basic and global themes identified. Respondents’ main concerns centered on a mismatch between the continuous demand for their services and their limited resources, which has worsened during the recent financial crisis. Respondents perceived a need for increased public awareness of the commitment involved in keeping a pet, and of controlling breeding by neutering. Points of intervention, such as education programs, were suggested. Coordinating efforts with others, including local authorities, landlords, and housing associations, and a potential role for veterinary professionals working in shelter medicine were all explored by respondents. Rehoming organizations play an important role in the management of pet overpopulation, and the views and beliefs of their workers form an important contribution to the dialogue surrounding this issue. Consideration of these perspectives may suggest alternative routes to address underlying causes and management of pet overpopulation.     

A simulation approach for power calculation in large cohort studies based on multistate models

Realistic power calculations for large cohort studies and nested case control studies are essential for successfully answering important and complex research questions in epidemiology and clinical medicine. For this, we provide a methodical framework for general realistic power calculations via simulations that we put into practice by means of an R‐based template. We consider staggered recruitment and individual hazard rates, competing risks, interaction effects, and the misclassification of covariates. The study cohort is assembled with respect to given age‐, gender‐, and community distributions. Nested case‐control analyses with a varying number of controls enable comparisons of power with a full cohort analysis. Time‐to‐event generation under competing risks, including delayed study‐entry times, is realized on the basis of a six‐state Markov model. Incidence rates, prevalence of risk factors and prefixed hazard ratios allow for the assignment of age‐dependent transition rates given in the form of Cox models. These provide the basis for a central simulation‐algorithm, which is used for the generation of sample paths of the underlying time‐inhomogeneous Markov processes. With the inclusion of frailty terms into the Cox models the Markov property is specifically biased. An “individual Markov process given frailty” creates some unobserved heterogeneity between individuals. Different left‐truncation‐ and right‐censoring patterns call for the use of Cox models for data analysis. p‐values are recorded over repeated simulation runs to allow for the desired power calculations. For illustration, we consider scenarios with a “testing” character as well as realistic scenarios. This enables the validation of a correct implementation of theoretical concepts and concrete sample size recommendations against an actual epidemiological background, here given with possible substudy designs within the German National Cohort.