A qualitative study of health education experiences and self-management practices among patients with type 2 diabetes at Malamulo Adventist Hospital in Thyolo District, Malawi

Background: The aim of this study was to understand the perceptions and experiences of health education and self-management practices on Malamulo Adventist Hospital type 2 diabetic patients.Methods: In this qualitative study, key informant interviews (KIIs; n=4) and focus group discussions (3 FGDs; n=16) were conducted amongst type 2 diabetes patients who had been treated at Malamulo Adventist Hospital in southern Malawi at least once. Key informant interviews and focus group discussions were audio recorded, transcribed verbatim and translated for analysis. Grounded theory methods were used to identify line-by-line emerging codes and were categorized and examined in Atlas.ti. The data was analyzed for emergent themes and supported by critical quotes.Results: Content analysis revealed participants had a positive regard for the diabetes education classes and had satisfactory health literacy. Participants expressed their ability to integrate diabetes education, such as exercise into their lifestyle. Due to financial constraints subjects experienced trouble maintaining their medication regimen, and had difficulty adopting healthier nutritional alternatives. Although patients expressed efficacy in controlling their blood sugar they subsequently expressed having limited knowledge when dealing with diabetes complications.Conclusions: Diabetes self-management is comprised of a complex set of processes. Patients with type 2 diabetes at Malamulo Adventist Hospital are deeply impacted by these processes which includes their understanding of the disease process, effects of medication, economic challenges to acquiring health care services and medications, and one’s unique life experience. For all patients with type 2 diabetes to successfully manage their condition, support from their family, the medical community, and health policies must be readily available

Med25 Limits Master Regulators That Govern Adipogenesis

Mediator 25 (Med25) is a member of the mediator complex that relays signals from transcription factors to the RNA polymerase II machinery. Multiple transcription factors, particularly those involved in lipid metabolism, utilize the mediator complex, but how Med25 is involved in this context is unclear. We previously identified Med25 in a translatome screen of adult cardiomyocytes (CMs) in a novel cell type-specific model of LMNA cardiomyopathy. In this study, we show that Med25 upregulation is coincident with myocardial lipid accumulation. To ascertain the role of Med25 in lipid accumulation, we utilized iPSC-derived and neonatal CMs to recapitulate the in vivo phenotype by depleting lamins A and C (lamin A/C) in vitro. Although lamin A/C depletion elicits lipid accumulation, this effect appears to be mediated by divergent mechanisms dependent on the CM developmental state. To directly investigate Med25 in lipid accumulation, we induced adipogenesis in Med25-silenced 3T3-L1 preadipocytes and detected enhanced lipid accumulation. Assessment of pertinent mediators driving adipogenesis revealed that C/EBPα and PPARγ are super-induced by Med25 silencing. Our results indicate that Med25 limits adipogenic potential by suppressing the levels of master regulators that govern adipogenesis. Furthermore, we caution the use of early-developmental-stage cardiomyocytes to model adult-stage cells, particularly for dissecting metabolic perturbations emanating from LMNA mutations

Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p < 4.28 × 10−15), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95%CI = 3.62–4.40) greater risk compared to the population average. These 12 variants account for ~25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction

Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling. © 2018 The Author(s).Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling. © 2018 The Author(s).Peer reviewe

Establishing student perceptions of an entrepreneur using word associations

Orientation: To understand entrepreneurial behaviour, it is important to understand the image or perceptions associated with entrepreneurship. Research purpose: To identify the image or perceptions that students have of an entrepreneur. Motivation for study: By establishing the image or perceptions that students have of an entrepreneur, insights could be provided into the factors influencing them to become entrepreneurs or not. Research approach, design and method: A qualitative projective technique, namely continuous word association, was adopted. Convenience sampling was used and 163 students participated. The words generated were coded into categories by searching for themes and words of a similar nature. The total words generated, the frequencies of recurring words, the number of different types of words, first words recalled and the average number of words recalled were established. Main findings: The students participating in the study have a good understanding of the general nature of an entrepreneur and entrepreneurship; an entrepreneur is perceived as someone who is a creative and innovative risk-taker, who owns a business involved in the selling of goods and services. Practical/managerial implications: Future entrepreneurs need to be aware that, in addition to several innate attributes, successful entrepreneurs have learned skills and competencies. It is also important that educators of entrepreneurship create a realistic image of what it is like to be an entrepreneur, and that both positive and negative aspects are highlighted. Contribution/value-add: By identifying the image or perceptions of an entrepreneur held by students, the marketing of entrepreneurship as a desirable career choice can be enhanced

Semantics of the insect decline narrative: recommendations for communicating insect conservation to peer and public audiences

Ambiguous or misleading language can affect science communication with peer and public audiences, with potentially damaging impacts on policy and public engagement.The word decline can be value-laden and has inherent negative connotations. It is not always the most appropriate term to use for effective science communication to promote insect biodiversity and conservation issues.We recommend four key questions to consider when deciding whether the term insect decline is appropriate to use.Evidence-based insect conservation depends on public and political support. Moving forward, researchers and communicators should be mindful that the inherent diversity of insects demands a nuanced and diverse scientific discussion, not an ambiguous and generalised one

Moving On from the Insect Apocalypse Narrative: Engaging with Evidence-Based Insect Conservation

Recent studies showing temporal changes in local and regional insect populations received exaggerated global media coverage. Confusing and inaccurate science communication on this important issue could have counterproductive effects on public support for insect conservation. The insect apocalypse narrative is fuelled by a limited number of studies that are restricted geographically (predominantly the United Kingdom, Europe, the United States) and taxonomically (predominantly some bees, macrolepidoptera, and ground beetles). Biases in sampling and analytical methods (e.g., categorical versus continuous time series, different diversity metrics) limit the relevance of these studies as evidence of generalized global insect decline. Rather, the value of this research lies in highlighting important areas for priority investment. We summarize research, communication, and policy priorities for evidence-based insect conservation, including key areas of knowledge to increase understanding of insect population dynamics. Importantly, we advocate for a balanced perspective in science communication to better serve both public and scientific interests

Slowed progression: The utility of Test to Treat initiatives in improving the neglected inequities of COVID-19 among racially/ethnically minoritized groups.

In the United States, coronavirus disease 2019 (COVID-19) has resulted in more than 95 million infections and 1 million deaths (as of September 2022), with individuals of racially/ethnically minoritized groups being disproportionately represented among these numbers. Despite the apparent pandemic fatigue in many communities, systemic and structural racism continue to place racially/ethnically minoritized groups at a disadvantage for overcoming the virus, especially as it relates to receiving vaccinations and COVID-19 targeted therapeutics. Test to Treat programs have the potential to mitigate these disparities by rapidly identifying the presence of a COVID-19 infection and readily offering treatment options. Nonetheless, Test to Treat programs must be optimized to adequately address the limitations to care within racially/ethnically minoritized communities