Examination of the engraftment of exogenous mesenchymal stem cells in ovarian tumors and their potential use as delivery vehicles for therapeutic genes

Interactions between neoplastic cells and the host stroma play a role in both tumor cell migration and proliferation. Stromal cells provide structural support for malignant cells, modulate the tumor microenvironment, and influence phenotypic behavior as well as the aggressiveness of the malignancy. In response, the tumor provides growth factors, cytokines, and cellular signals that continually initiate new stromal reactions and recruit new cells into the microenvironment to further support tumor growth. Since growing tumors recruit local cells, as well as supplemental cells from the circulation, such as fibroblasts and endothelial precursors, the question arises if it would be possible to access circulating stromal cells to modify the tumor microenvironment for therapeutic benefits. One such cell type, mesenchymal stem cells (MSC), could theoretically be engrafted into stroma. MSC are pluripotent cells that have been shown to form stromal elements such as myofibroblasts, perivascular tissues and connective tissues. Several reports have demonstrated that MSC can incorporate into sites of wound healing and tissue repair, due to active tissue remodeling and local paracrine factors, and given the similarity between wound healing and the carcinoma induced stromal response one can hypothesize that MSC have the potential to be recruited to sites of tumor development. In addition, gene-modified MSC could be used as cellular vehicles to deliver gene products into tumors. My results indicate that MSC home to and participate in tumor stroma formation in ovarian tumor xenografts in mice. Additionally, once homed to tumor beds, MSC proliferate rapidly and integrate. My studies aim at understanding the fate of MSC in the tumor microenvironment, as well as utilizing them for cellular delivery of therapeutic genes into the stroma of ovarian carcinomas. ^

The Use of Therapeutic Assessment with Forensic Populations: Practitioners' Perspectives

Therapeutic Assessment is a semi-structured approach to collaborative assessment developed by Stephen E. Finn and colleagues. In Therapeutic Assessment, psychological assessment is used as a therapeutic intervention (Finn, 2007; Finn & Kamphuis, 2006). The Therapeutic Assessment model differs from traditional assessment with regard to procedure and the roles of both assessor and client. Therapeutic Assessment has yet to be explored in forensic settings, wherein assessors are required to take on a number of varying and conflicting roles. In the current study, five forensic psychologists completed a semi-structured interview to identify their perspectives of Therapeutic Assessment and its utility in forensic contexts. A phenomenological qualitative analysis of the interviews was conducted to derive themes about Therapeutic Assessment, forensic psychology, and the overlap between these two domains. General themes that emerged include (a) the role and the context of the practitioner's work with the forensic population; (b) the potential of using Therapeutic Assessment's paradigm in family law settings; and (c) the increased risk of harm when using Therapeutic Assessment with forensic populations. In addition to these themes, multiple respondents discussed components of collaborative/Therapeutic Assessment that they have found useful with this population. Finally, the implications of these results are discussed.

The canning of fruits and vegetables : based on the methods in use in California, with notes on the control of the microorganisms effecting spoilage /

Mode of access: Internet.

Modern materia medica, with therapeutic notes; for the use of practitioners and students of medicine.

Translation of Die Arzneimittel der heutigen Medizin.

Use of peptide nucleic acids as therapeutic agents

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New trends in food science: the use of nutraceuticals as an antiinflammatory therapeutic tool in exercise

Prolonged high-intensity training seems to result in increased systemic inflammation, which might explain muscle injury, delayed onset muscle soreness, and overtraining syndrome in athletes. Furthermore, an impaired immune function caused by strenuous exercise leads to the development of upper respiratory tract infections in athletes. Nutraceuticals might help counteract these performance-lowering effects. The use of nanotechnology is an interesting alternative to supply athletes with nutraceuticals, as many of these substances are insoluble in water and are poorly absorbed in the digestive tract. The present chapter starts with a brief review of the effects of exercise on immunity, followed by an analysis on how nutraceuticals such as omega-3 fatty acids, glutamine, BCAAs, or phytochemicals can counteract negative effects of strenuous exercise in athletes. Finally, how nanostructured delivery systems can constitute a new trend in enhancing bioavailability and optimizing the action of nutraceuticals will be discussed, using the example of food beverages.

Application of data mining techniques in the prediction of coronary artery disease : use of anaesthesia time-series and patient risk factor data

The high morbidity and mortality associated with atherosclerotic coronary vascular disease (CVD) and its complications are being lessened by the increased knowledge of risk factors, effective preventative measures and proven therapeutic interventions. However, significant CVD morbidity remains and sudden cardiac death continues to be a presenting feature for some subsequently diagnosed with CVD. Coronary vascular disease is also the leading cause of anaesthesia related complications. Stress electrocardiography/exercise testing is predictive of 10 year risk of CVD events and the cardiovascular variables used to score this test are monitored peri-operatively. Similar physiological time-series datasets are being subjected to data mining methods for the prediction of medical diagnoses and outcomes. This study aims to find predictors of CVD using anaesthesia time-series data and patient risk factor data. Several pre-processing and predictive data mining methods are applied to this data. Physiological time-series data related to anaesthetic procedures are subjected to pre-processing methods for removal of outliers, calculation of moving averages as well as data summarisation and data abstraction methods. Feature selection methods of both wrapper and filter types are applied to derived physiological time-series variable sets alone and to the same variables combined with risk factor variables. The ability of these methods to identify subsets of highly correlated but non-redundant variables is assessed. The major dataset is derived from the entire anaesthesia population and subsets of this population are considered to be at increased anaesthesia risk based on their need for more intensive monitoring (invasive haemodynamic monitoring and additional ECG leads). Because of the unbalanced class distribution in the data, majority class under-sampling and Kappa statistic together with misclassification rate and area under the ROC curve (AUC) are used for evaluation of models generated using different prediction algorithms. The performance based on models derived from feature reduced datasets reveal the filter method, Cfs subset evaluation, to be most consistently effective although Consistency derived subsets tended to slightly increased accuracy but markedly increased complexity. The use of misclassification rate (MR) for model performance evaluation is influenced by class distribution. This could be eliminated by consideration of the AUC or Kappa statistic as well by evaluation of subsets with under-sampled majority class. The noise and outlier removal pre-processing methods produced models with MR ranging from 10.69 to 12.62 with the lowest value being for data from which both outliers and noise were removed (MR 10.69). For the raw time-series dataset, MR is 12.34. Feature selection results in reduction in MR to 9.8 to 10.16 with time segmented summary data (dataset F) MR being 9.8 and raw time-series summary data (dataset A) being 9.92. However, for all time-series only based datasets, the complexity is high. For most pre-processing methods, Cfs could identify a subset of correlated and non-redundant variables from the time-series alone datasets but models derived from these subsets are of one leaf only. MR values are consistent with class distribution in the subset folds evaluated in the n-cross validation method. For models based on Cfs selected time-series derived and risk factor (RF) variables, the MR ranges from 8.83 to 10.36 with dataset RF_A (raw time-series data and RF) being 8.85 and dataset RF_F (time segmented time-series variables and RF) being 9.09. The models based on counts of outliers and counts of data points outside normal range (Dataset RF_E) and derived variables based on time series transformed using Symbolic Aggregate Approximation (SAX) with associated time-series pattern cluster membership (Dataset RF_ G) perform the least well with MR of 10.25 and 10.36 respectively. For coronary vascular disease prediction, nearest neighbour (NNge) and the support vector machine based method, SMO, have the highest MR of 10.1 and 10.28 while logistic regression (LR) and the decision tree (DT) method, J48, have MR of 8.85 and 9.0 respectively. DT rules are most comprehensible and clinically relevant. The predictive accuracy increase achieved by addition of risk factor variables to time-series variable based models is significant. The addition of time-series derived variables to models based on risk factor variables alone is associated with a trend to improved performance. Data mining of feature reduced, anaesthesia time-series variables together with risk factor variables can produce compact and moderately accurate models able to predict coronary vascular disease. Decision tree analysis of time-series data combined with risk factor variables yields rules which are more accurate than models based on time-series data alone. The limited additional value provided by electrocardiographic variables when compared to use of risk factors alone is similar to recent suggestions that exercise electrocardiography (exECG) under standardised conditions has limited additional diagnostic value over risk factor analysis and symptom pattern. The effect of the pre-processing used in this study had limited effect when time-series variables and risk factor variables are used as model input. In the absence of risk factor input, the use of time-series variables after outlier removal and time series variables based on physiological variable values’ being outside the accepted normal range is associated with some improvement in model performance.

Substance use disorders

Basic competencies in assessing and treating substance use disorders should be core to the training of any clinical psychologist, because of the high frequency of risky or problematic substance use in the community, and its high co-occurrence with other problems. Skills in establishing trust and a therapeutic alliance are particularly important in addiction, given the stigma and potential for legal sanctions that surround it. The knowledge and skills of all clinical practitioners should be sufficient to allow valid screening and diagnosis of substance use disorders, accurate estimation of consumption and a basic functional analysis. Practitioners should also be able to undertake brief interventions including motivational interviews, and appropriately apply generic interventions such as problem solving or goal setting to addiction. Furthermore, clinical psychologists should have an understanding of the nature, evidence base and indications for biochemical assays, pharmacotherapies and other medical treatments, and ways these can be integrated with psychological practice. Specialists in addiction should have more sophisticated competencies in each of these areas. They need to have a detailed understating of current addiction theories and basic and applied research, be able to undertake and report on a detailed psychological assessment, and display expert competence in addiction treatment. These skills should include an ability to assess and manage complex or co-occurring problems, to adapt interventions to the needs of different groups, and to assist people who have not responded to basic treatments. They should also be able to provide consultation to others, undertake evaluations of their practice, and monitor and evaluate emerging research data in the field.

Psychoanalytic perspectives on substance use and antisocial personality disorder

Psychoanalysis and related psychodynamic psychotherapies have historically had a limited engagement with substance use and antisocial personality disorders. This in part reflects an early preoccupation with ‘transference neuroses’ and in part reflects later de-emphasis of diagnosis and focus on therapeutic process. Nonetheless, psychoanalytic perspectives can usefully inform thinking about approaches to treatment of such disorders and there are psychoanalytic constructs that have specific relevance to their treatment. This paper reviews some prominent strands of psychoanalytic thinking as they pertain to the treatment of substance abuse and antisocial personality disorders. It is argued that, while Freudian formulations lead to a primarily pessimistic view of the prospect of treatment of such disorders, both the British object relations and the North American self psychology traditions suggest potentially productive approaches. Finally the limited empirical evidence from brief psychodynamically informed treatments of substance use disorders is reviewed. It is concluded that such treatments are not demonstrably effective but that, since no form of psychotherapy has established high efficacy with substance use disorders, brief psychdynamic therapies are not necessarily of lesser value than other treatments and may have specific value for particular individuals and in particular treatment contexts.

Problem-solving courts, therapeutic jurisprudence and the constitution : if two is company, is three a crowd?

Court costs, resource-intensive trials, booming prison populations and the obduracy of recidivism rates all present as ugly excesses of the criminal law adversarial paradigm. To combat these excesses, problem-solving courts have evolved with an edict to address the underlying issues that have caused an individual to commit a crime. When a judge seeks to help a problem-solving court participant deal with issues like addiction, mental health or poverty, they are performing a very different role to that of a judicial officer in the traditional court hierarchy. They are no longer the removed, independent arbiter — a problem-solving court judge steps into the ‘arena’ with the participant and makes active use of their judicial authority to assist in rehabilitation and positive behavioural change. Problem-solving court judges employing the principles of therapeutic jurisprudence appreciate that their interaction with participants can have therapeutic and anti-therapeutic consequences. This article will consider how the deployment of therapeutic measures (albeit with good intention) can lead to the behavioural manifestation of partiality and bias on the part of problem-solving court judges. Chapter III of the Commonwealth Constitution will then be analysed to highlight why the operation and functioning of problem solving courts may be deemed unconstitutional. Part IV of this article will explain how a problem-solving court judge who is not acting impartially or independently will potentially contravene the requirements of the Constitution. It will finally be suggested that judges who possess a high level of emotional intelligence will be the most successful in administering an independent and impartial problem solving court.

Direct fabrication as a patient-targeted therapeutic in a clinical environment

A paradigm shift is taking place in orthopaedic and reconstructive surgery. This transition from using medical devices and tissue grafts towards the utilization of a tissue engineering approach combines biodegradable scaffolds with cells and/or biological molecules in order to repair and/or regenerate tissues. One of the potential benefits offered by solid freeform fabrication (SFF) technologies is the ability to create such biodegradable scaffolds with highly reproducible architecture and compositional variation across the entire scaffold due to their tightly controlled computer-driven fabrication. Many of these biologically activated materials can induce bone formation at ectopic and orthotopic sites, but they have not yet gained widespread use due to several continuing limitations, including poor mechanical properties, difficulties in intraoperative handling, lack of porosity suitable for cellular and vascular infiltration, and suboptimal degradation characteristics. In this chapter, we define scaffold properties and attempt to provide some broad criteria and constraints for scaffold design and fabrication in combination with growth factors for bone engineering applications. Lastly, we comment on the current and future developments in the field, such as the functionalization of novel composite scaffolds with combinations of growth factors designed to promote cell attachment, cell survival, vascular ingrowth, and osteoinduction.

The process and patterns of combining the use of traditional Chinese medicine and Western medicine in Taiwanese people with cancer

Objective: The nature of contemporary cancer therapy means that patients are faced with difficult treatment decisions about surgery, chemotherapy and radiotherapy. For some, this process may also involve consideration of therapies that sit outside the biomedical approach to cancer treatment, in our research, traditional Chinese medicine (TCM). Thus, it is important to explore how cancer patients in Taiwan incorporate TCM into their cancer treatment journey. This paper aims to explore of the patterns of combining the use of TCM and Western medicine into cancer treatment journey in Taiwanese people with cancer. Methods: The sampling was purposive and the data collected through in-depth interviews. Data collection occurred over an eleven month. The research was grounded in the premises of symbolic interactionism and adopted the methods of grounded theory. Twenty four participants who were patients receiving cancer treatment were recruited from two health care settings in Taiwan. Results: The study findings suggest that perceptions of health and illness are mediated through ongoing interactions with different forms of therapy. The participants in this study had a clear focus on “process and patterns of using TCM and Western medicine”. Further, ‘different importance in Western medicine and TCM’, ‘taken for granted to use TCM’, ‘each has specialized skills in Western medicine and TCM’ and ‘different symptoms use different approaches (Western medicine or TCM)’ may explicit how the participants in this study see CAM and Western medicine. Conclusions/Implications for practice: The descriptive frame of the study suggests that TCM and Western medicine occupy quite distinct domains in terms of decision making over their use. People used TCM based on interpretations of the present and against a background of an enduring cultural legacy grounded in Chinese philosophical beliefs about health and healthcare. The increasingly popular term of 'integrative medicine' obscures the complex contexts of the patterns of use of both therapeutic modalities. It is this latter point that is worthy of further exploration.

A Process and Outcome Evaluation of the Under the Limit (UTL) Therapeutic Drink Driving Program for Recidivist and High Range Offenders

Drink driving is a major public health issue and this report examines the experiences of convicted offenders who participated in an established drink driving rehabilitation program Under the Limit (UTL). Course completers were surveyed at least three months after they had finished the 11-week UTL course. The aim of this study was to examine whether the UTL program reduced the level of alcohol consumption either directly as a result of participation in the UTL drink driving program or through increased use of community alcohol program by participants. The research involved a self-report outcome evaluation to determine whether the self-reported levels of alcohol use after the course had changed from the initial alcohol use reported by offenders. The findings are based on the responses of 30 drink-driving offenders who had completed the UTL program (response rate: 20%). While a process evaluation was proposed in the initial application, the low response rate meant that this follow up research was not feasible. The response rate was low for two reasons, it was difficult to: recruit participants who consented to follow up, and subsequently locate and survey those who had consented to involvement.

Managing the therapeutic relationship in online cognitive behavioural therapy for depression: Therapists' treatment of clients' contributions

This article examines how therapists and clients manage the therapeutic relationship in online psychotherapy. Our study focuses on early sessions of therapy involving 22 therapist-client pairs participating in online Cognitive Behavioural Therapy (CBT) for depression. Using Conversation Analysis (CA), we examine how therapists can orient to clients’ contributions, while also retaining control of the therapeutic trajectory. We report two practices that therapists can use, at their discretion, following clients’ responses to requests for information. The first, thanking, accepts clients’ responses, orienting to the neutral affective valence of those responses. The second, commiseration, orients to the negative affective valence of clients’ responses. We argue that both practices are a means by which therapists can simultaneously manage developing rapport, while also retaining control of the therapeutic process.