Pain and disability in osteoarthritis: A review of biobehavioral mechanisms

Pain and disability are cardinal symptoms in osteoarthritis. The literature is reviewed in order to identify causes of these symptoms at the articular, kinesiological, and psychological level. It is concluded that pain and disability are associated with degeneration of cartilage and bone (articular level), with muscle weakness and limitations in joint motion (kinesiological level), and with anxiety, coping style, attentional focus on symptoms, and possibly depression (psychological level). Biobehavioral mechanisms of pain and disability which explain the observed associations are described and the empirical evidence for these mechanisms is evaluated. Methodological and conceptual deficiencies in the research reviewed are pointed out and suggestions for further research are given.     

Age, gender and litter-related variation in T-lymphocyte cytokine production in young pigs

The capacity of farm animals to produce cytokines could be an important determinant of robustness and health. From research in rodents and humans it appears that the production and the balance of T helper 1 (Th1) and T helper 2 (Th2)-type cytokines influences susceptibility to autoimmune and infectious diseases. It is known that pigs show a large variation in many immune response parameters. So far the extent of individual variation in the production of Th1- and Th2-type cytokines in commercial outbred pigs has not been reported. In the current experiment we determined mRNA expression, as well as protein production of cytokines in 32 pigs from eight litters. From each litter two male and two female pigs were tested at 2, 5 and 8 weeks of age. Two Th1-type cytokines, interleukin (IL)-2 and interferon (IFN)-gamma, and two Th2-type cytokines, IL-4 and IL-10, were measured after phytohaemagglutinin (PHA)-stimulation of blood mononuclear cells. Cytokine production and the Th1/Th2-ratio were highly variable. The variation in cytokine protein production was moderately consistent across ages, i.e. pigs that produced high levels of cytokine at 2 weeks of age tended to do so as well at 5 and 8 weeks of age. Cytokine production tended to increase with age, and gilts and boars differed in their IL-2/IL-4 ratio. Unexpectedly, age, gender and litter effects often differed for mRNA and protein production data. We hypothesize that cytokine production is a consistent trait in pigs, especially at the protein production level. Future investigations in more animals and across a wider age range are necessary.     

Estimation of parameters of dose-volume models and their confidence limits

Predictions of the normal-tissue complication probability (NTCP) for the ranking of treatment plans are based on fits of dose-volume models to clinical and/or experimental data. In the literature several different fit methods are used. In this work frequently used methods and techniques to fit NTCP models to dose response data for establishing dose-volume effects, are discussed. The techniques are tested for their usability with dose-volume data and NTCP models. Different methods to estimate the confidence intervals of the model parameters are part of this study. From a critical-volume (CV) model with biologically realistic parameters a primary dataset was generated, serving as the reference for this study and describable by the NTCP model. The CV model was fitted to this dataset. From the resulting parameters and the CV model, 1000 secondary datasets were generated by Monte Carlo simulation. All secondary datasets were fitted to obtain 1000 parameter sets of the CV model. Thus the 'real' spread in fit results due to statistical spreading in the data is obtained and has been compared with estimates of the confidence intervals obtained by different methods applied to the primary dataset. The confidence limits of the parameters of one dataset were estimated using the methods, employing the covariance matrix, the jackknife method and directly from the likelihood landscape. These results were compared with the spread of the parameters, obtained from the secondary parameter sets. For the estimation of confidence intervals on NTCP predictions, three methods were tested. Firstly, propagation of errors using the covariance matrix was used. Secondly, the meaning of the width of a bundle of curves that resulted from parameters that were within the one standard deviation region in the likelihood space was investigated. Thirdly, many parameter sets and their likelihood were used to create a likelihood-weighted probability distribution of the NTCP. It is concluded that for the type of dose response data used here, only a full likelihood analysis will produce reliable results. The often-used approximations, such as the usage of the covariance matrix, produce inconsistent confidence limits on both the parameter sets and the resulting NTCP values.     

Perforin dependence of natural killer cell-mediated tumor control in vivo

Adaptive immune surveillance by T cells against infections and tumors depends on the presence of antigenic peptides presented by major histocompatibility complex (MHC) molecules. If antigenic tumor-specific peptides or MHC class I molecules are absent, the adaptive T cell immune response fails. Natural killer (NK) cells seem to complement the specific T cells by recognizing target cells lacking MHC class I (e.g. RMA-S). The role of perforin, which is crucially involved in T cell and NK cell-mediated target cell lysis, was evaluated in mice lacking perforin with respect to their capacity to eliminate a syngeneic lymphoid tumor. Here, we show that growth of MHC class I^? RMA-S tumor cells in unprimed mice was controlled by NK cells through perforin-dependent cytotoxicity.     

The effect of automated landmark identification on morphometric analyses

Morphometric analysis of anatomical landmarks allows researchers to identify specific morphological differences between natural populations or experimental groups, but manually identifying landmarks is time‐consuming. We compare manually and automatically generated adult mouse skull landmarks and subsequent morphometric analyses to elucidate how switching from manual to automated landmarking will impact morphometric analysis results for large mouse (Mus musculus) samples (n = 1205) that represent a wide range of ‘normal’ phenotypic variation (62 genotypes). Other studies have suggested that the use of automated landmarking methods is feasible, but this study is the first to compare the utility of current automated approaches to manual landmarking for a large dataset that allows the quantification of intra‐ and inter‐strain variation. With this unique sample, we investigated how switching to a non‐linear image registration‐based automated landmarking method impacts estimated differences in genotype mean shape and shape variance‐covariance structure. In addition, we tested whether an initial registration of specimen images to genotype‐specific averages improves automatic landmark identification accuracy. Our results indicated that automated landmark placement was significantly different than manual landmark placement but that estimated skull shape covariation was correlated across methods. The addition of a preliminary genotype‐specific registration step as part of a two‐level procedure did not substantially improve on the accuracy of one‐level automatic landmark placement. The landmarks with the lowest automatic landmark accuracy are found in locations with poor image registration alignment. The most serious outliers within morphometric analysis of automated landmarks displayed instances of stochastic image registration error that are likely representative of errors common when applying image registration methods to micro‐computed tomography datasets that were initially collected with manual landmarking in mind. Additional efforts during specimen preparation and image acquisition can help reduce the number of registration errors and improve registration results. A reduction in skull shape variance estimates were noted for automated landmarking methods compared with manual landmarking. This partially reflects an underestimation of more extreme genotype shapes and loss of biological signal, but largely represents the fact that automated methods do not suffer from intra‐observer landmarking error. For appropriate samples and research questions, our image registration‐based automated landmarking method can eliminate the time required for manual landmarking and have a similar power to identify shape differences between inbred mouse genotypes.     

Metallic wires with an adherent lubricious and blood-compatible polymeric coating and their use in the manufacture of novel slippery-when-wet guidewires: possible applications related to controlled local drug delivery

A new procedure was developed for the controlled application of adherent hydrophilic and biocompatible coatings onto the surface of "endless" metallic wires. Use of copolymers of 1-vinyl-2-pyrrolidinone and alkylmethacrylates provided coatings with excellent adherence and lubricity, and markedly low thrombogenicity. Coated wires could be spiralized without damaging the coating; the resulting coils are potentially useful as lubricious guidewires for use in, for example, interventional cardiology or urology. This study demonstrates that the lubricity of the coating is dependent on the composition (hydrophilicity) of the coating biomaterial, as well as on the thickness of the coating. Furthermore, the results imply that the adherence of the hydrophilic coating is essentially due to entanglement of the binder polymer chains and the hydrophilic copolymer chains. Moreover, the idea to use the hydrophilic coating on the wire as a temporary depot for controlled local drug delivery was explored. The coating was loaded with the dye rhodamine, and release of the dye upon immersion of the coated wire in water was studied. This work revealed that release of the drug is dependent on the composition of the coating. The potential utility of such wires with a drug-charged coating for controlled local drug delivery is discussed briefly.     

Planned lesbian families: their desire and motivation to have children

BACKGROUND: There is no information about the desire and motivation for children among planned lesbian families. The overall aim of this research was to examine whether planned lesbian families differ from heterosexual families in desire and motivation to have a child. The reason for studying this is that desire and motivation to have children are characteristics that are supposed to effect parenting and the parent-child relationship. METHODS: A total of 100 lesbian two-mother families were compared with 100 heterosexual families. All data were collected by means of questionnaires. RESULTS: Lesbian parents and heterosexual parents rank their parenthood quite similarly; however, happiness is significantly more important for lesbian mothers than it is for heterosexual parents and identity development is less important for lesbian mothers than it is for heterosexual parents. Furthermore, compared with heterosexual parents, lesbian parents had spent more time thinking about their motives for having children, and their desire to have a child was stronger. CONCLUSIONS: Lesbian parents especially differ from heterosexual parents in that their desire to have a child is much stronger. The study's findings may be helpful for counsellors in their work to inform and assist lesbian couples in their decision to have a child.