Healthcare and End-of-Life Needs of Lesbian, Gay, Bisexual, and Transgender (LGBT) Older Adults: A Scoping Review

Lesbian, gay, bisexual, and transgender (LGBT) older adults face a number of challenges with respect to access to healthcare especially towards end-of-life. Through a systematic search and scoping review of the literature, we sought to answer two related research questions. In particular, the purpose of this scoping review was to determine the healthcare needs of LGBT older adults nearing end-of-life as well as the factors that contribute to a good death experience among older adults who identify as LGBT. A systematic search of electronic databases for articles published between 2005 and 2016 as well as screening for relevance resulted in 25 results. The data were charted and grouped according to the themes of: social support and chosen family, intimacy, health status, fear of discrimination and lack of trust, lack of knowledge and preparedness, and cultural competence in the healthcare system. The results suggest a role for health and social service workers in contributing to a positive care experience for LGBT older adults by becoming knowledgeable about the unique needs of this population and being unassuming and accepting of individuals’ sexuality. Many of the articles reviewed collected data outside of Canada, limiting generalizability and highlighting a need for Canadian data on LGBT aging and end-of-life

Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0.

Over the past decade, a growing community of researchers has emerged around the use of constraint-based reconstruction and analysis (COBRA) methods to simulate, analyze and predict a variety of metabolic phenotypes using genome-scale models. The COBRA Toolbox, a MATLAB package for implementing COBRA methods, was presented earlier. Here we present a substantial update of this in silico toolbox. Version 2.0 of the COBRA Toolbox expands the scope of computations by including in silico analysis methods developed since its original release. New functions include (i) network gap filling, (ii) (13)C analysis, (iii) metabolic engineering, (iv) omics-guided analysis and (v) visualization. As with the first version, the COBRA Toolbox reads and writes systems biology markup language-formatted models. In version 2.0, we improved performance, usability and the level of documentation. A suite of test scripts can now be used to learn the core functionality of the toolbox and validate results. This toolbox lowers the barrier of entry to use powerful COBRA methods