Shades of hope: Marcel's notion of hope in end-of-life care.

This article examines the compatibility and relevance of Gabriel Marcel's phenomenology of hope in interdisciplinary research on the role of hope in end-of-life (EOL) care. Our analysis is divided into three thematic topics which examine the various shades of hope observed in Marcel's phenomenology of hope and in the collection of 20 EOL studies on hope as experienced by adult palliative care (PC) patients, health care professionals (HCP) and parents of terminally ill children. The three topics defining the shades of hope are: the meaning of hope in its dynamic aspects, the dialectics of hope and despair, and the transcendent facets of hope. We analyse how Marcel's understanding of hope is reflected in EOL studies, and how this perception can enrich the philosophy of PC and significantly deepen and broaden HCPs' understanding of hope. Our findings prove that despite terminological differences between Marcelian phenomenology and the concepts of hope in the 20 EOL studies, hope emerges as a resourceful movement towards being. Implementing Marcelian hope within communication in EOL care could help in HCPs' interpersonal approach to patients as his concept harbors a holistic perception of the existential situation of a person. Equally, introducing Marcel's phenomenology of hope into the clinical encounter could play a beneficial role in improving the ability of patients to adapt to the difficult conditions of their disease and PC treatment.

A multi-parameter, high-content, high-throughput screening platform to identify natural compounds that modulate insulin and Pdx1 expression.

Diabetes is a devastating disease that is ultimately caused by the malfunction or loss of insulin-producing pancreatic beta-cells. Drugs capable of inducing the development of new beta-cells or improving the function or survival of existing beta-cells could conceivably cure this disease. We report a novel high-throughput screening platform that exploits multi-parameter high-content analysis to determine the effect of compounds on beta-cell survival, as well as the promoter activity of two key beta-cell genes, insulin and pdx1. Dispersed human pancreatic islets and MIN6 beta-cells were infected with a dual reporter lentivirus containing both eGFP driven by the insulin promoter and mRFP driven by the pdx1 promoter. B-score statistical transformation was used to correct systemic row and column biases. Using this approach and 5 replicate screens, we identified 7 extracts that reproducibly changed insulin and/or pdx1 promoter activity from a library of 1319 marine invertebrate extracts. The ability of compounds purified from these extracts to significantly modulate insulin mRNA levels was confirmed with real-time PCR. Insulin secretion was analyzed by RIA. Follow-up studies focused on two lead compounds, one that stimulates insulin gene expression and one that inhibits insulin gene expression. Thus, we demonstrate that multi-parameter, high-content screening can identify novel regulators of beta-cell gene expression, such as bivittoside D. This work represents an important step towards the development of drugs to increase insulin expression in diabetes and during in vitro differentiation of beta-cell replacements.