A highly sensitive electrochemical genosensor based on Co-porphyrin-labelled DNA

We report the use of Co-porphyrins as electrochemical tags for a highly sensitive and selective genosensor. An avian influenza virus-based DNA sequence characteristic of H5N1 was detected at femtomolar levels from competing non-complementary sequences through hybridisation with the labeled DNA

Electronic Health Technologies to Improve Support for Women with Breast Cancer

Background: After active breast cancer treatment (surgery, chemotherapy, radiation), many women suffer long-term side effects, making managing health challenging. In-person health support is cost and labour intensive. Electronic health (eHealth) support strategies (websites, apps, text messages) are promising low-cost and scalable alternatives. This thesis aims to investigate if eHealth interventions are effective, feasible, and acceptable for improving women’s post-treatment self-efficacy for managing health, quality of life (QOL) and health outcomes. Methods: Systematic review of randomised controlled trials (RCTs) with meta-analyses (Chapter 2); narrative literature review (Chapter 3); iterative co-design process of the EMPOWER-SMS lifestyle-focused text message program (Chapter 4); RCT (N=160) testing efficacy, usefulness, and acceptability of EMPOWER-SMS (n=80) versus usual care (n=80) at 6-months (Chapters 5-7). Primary outcome: self-efficacy. Secondary outcomes included QOL, depression, anxiety, physical activity, and endocrine therapy medication adherence. Results: eHealth self-management strategies, namely websites, were acceptable, useful, and effective for improving QOL, self-efficacy, distress, and fatigue among women with breast cancer (Chapters 2-3). But co-designed interventions tested in high-quality RCTs were limited. The co-design process was feasible, and improved message content (Chapter 4). Self-efficacy did not differ between groups, but medication adherence was significantly higher in the EMPOWER-SMS group compared to control at 6-months. Also, EMPOWER-SMS was feasible, acceptable, useful, low-cost, and resource-light (Chapters 5-7). Conclusion: This thesis provides emerging evidence that eHealth interventions are effective, feasible, and acceptable for supporting QOL, self-efficacy, mental (distress) and physical (fatigue, medication adherence) health among diverse breast cancer survivors. Large-scale RCTs with longer follow-up are needed

Association of Nonacute Opioid Use and Cardiovascular Diseases: A Scoping Review of the Literature

BACKGROUND In this scoping review, we identified and reviewed 23 original articles from the PubMed database that investigated the relationship between nonacute opioid use (NOU) and cardiovascular outcomes. METHODS AND RESULTS We defined NOU to include both long-term opioid therapy and opioid use disorder. We summarized the association between NOU and 5 classes of cardiovascular disease, including infective endocarditis, coronary heart disease (including myocardial infarction), congestive heart failure, cardiac arrythmia (including cardiac arrest), and stroke. The most commonly studied outcomes were coronary heart disease and infective endocarditis. There was generally consistent evidence of a positive association between community prevalence of injection drug use (with opioids being the most commonly injected type of drug) and community prevalence of infective endocarditis, and between (primarily medically indicated) NOU and myocardial infarction. There was less consensus about the relationship between NOU and congestive heart failure, cardiac arrhythmia, and stroke. CONCLUSIONS There is a dearth of high-quality evidence on the relationship between NOU and cardiovascular disease. Innovative approaches to the assessment of opioid exposure over extended periods of time will be required to address this need

The Potential for mHealth Interventions to Support Women with Breast Cancer after Active Treatment

Breast cancer is the most commonly diagnosed cancer among women worldwide. Chances of living one-year after diagnosis are high (~98%), and health self-management is essential to reduce risks of recurrence. Mobile health (mHealth) has emerged as a wide-reaching and cost-effective way of providing health information and support. Therefore, we conducted a narrative review of the currently available mHealth literature and synthesised the literature according to the impacts of mHealth interventions on patient outcomes, the potential mechanism for behaviour change and innovative approaches to developing future mHealth interventions. Results found a small amount of evidence for the value of mHealth interventions (text message programs, smartphone applications and activity trackers) for supporting women after breast cancer treatment. However, accessibility, cost and gender inequities may pose barriers to implementation. Developing consumer-led mHealth interventions based on lived-experiences will be essential to improving user outcomes. In conclusion, mHealth interventions are widely available and have the potential to support women after breast cancer treatment and further robust research will determine effectiveness in specific subgroups and populations

Healthcare workers' perceptions and attitudes towards the UK's COVID-19 vaccination programme: a rapid qualitative appraisal

OBJECTIVES: While there is research relating to perceptions of vaccines among healthcare workers (HCWs), the evidence base in relation to COVID-19 remains limited. The aim of this study was to explore HCWs' perceptions and attitudes towards vaccines and the COVID-19 vaccination programme in the UK, including their expectations and views on promoting vaccination to others. DESIGN: This study was designed as a rapid qualitative appraisal, integrating data from a review of UK policies and guidance on COVID-19 vaccination with data from in-depth semistructured telephone interviews with frontline HCWs in the UK. Data were analysed using framework analysis. PARTICIPANTS: Interviews were carried out with a purposive sample of HCWs from two large London-based hospital Trusts (n=24) and 24 government policies, and guidelines on the vaccination programme were reviewed. RESULTS: The level of uncertainty about the long-term safety of vaccines and efficacy against mutant strains made it difficult for HCWs to balance the benefits against the risks of vaccination. HCWs felt that government decisions on vaccine rollout had not been supported by evidence-based science, and this impacted their level of trust and confidence in the programme. The spread of misinformation online also impacted HCWs' attitudes towards vaccination, particularly among junior level and black, Asian and minority ethnic (BAME) HCWs. Most HCWs felt encouraged to promote vaccination to their patients, and the majority said they would advocate vaccination or engage in conversations about vaccination with others when relevant. CONCLUSION: In order to improve HCWs' trust and confidence in the UK's COVID-19 vaccination programme, there needs to be clarity about what is known and not known about the vaccines and transparency around the evidence-base supporting government decisions on vaccine rollout. Effort is also needed to dispel the spread of vaccine-related misinformation online and to address specific concerns, particularly among BAME and junior-level HCWs

Whole-genome sequencing to understand the genetic architecture of common gene expression and biomarker phenotypes.

Initial results from sequencing studies suggest that there are relatively few low-frequency (<5%) variants associated with large effects on common phenotypes. We performed low-pass whole-genome sequencing in 680 individuals from the InCHIANTI study to test two primary hypotheses: (i) that sequencing would detect single low-frequency-large effect variants that explained similar amounts of phenotypic variance as single common variants, and (ii) that some common variant associations could be explained by low-frequency variants. We tested two sets of disease-related common phenotypes for which we had statistical power to detect large numbers of common variant-common phenotype associations-11 132 cis-gene expression traits in 450 individuals and 93 circulating biomarkers in all 680 individuals. From a total of 11 657 229 high-quality variants of which 6 129 221 and 5 528 008 were common and low frequency (<5%), respectively, low frequency-large effect associations comprised 7% of detectable cis-gene expression traits [89 of 1314 cis-eQTLs at P < 1 × 10(-06) (false discovery rate ∼5%)] and one of eight biomarker associations at P < 8 × 10(-10). Very few (30 of 1232; 2%) common variant associations were fully explained by low-frequency variants. Our data show that whole-genome sequencing can identify low-frequency variants undetected by genotyping based approaches when sample sizes are sufficiently large to detect substantial numbers of common variant associations, and that common variant associations are rarely explained by single low-frequency variants of large effect

Common lipid-altering gene variants are associated with therapeutic intervention thresholds of lipid levels in older people

This is a freely-available open access publication. Please cite the published version which is available via the DOI link in this record.AIMS: There are a large number of common genetic variants that have been robustly associated with low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, or triglyceride concentrations. The majority of these have been identified or confirmed in recent genome-wide association studies, but few studies have assessed the combined effect of known lipid variants. We hypothesized that these variants would influence both the need for interventions and myocardial infarction (MI) outcomes. We aimed to estimate combined effects of proven SNPs on LDL, HDL, and triglyceride concentrations and MI history in a representative older population. METHODS AND RESULTS: In the InCHIANTI Study of Aging (age >or=65 years), we calculated individual dyslipidaemia risk allele counts for increased LDL (range 4-14, n = 594), reduced HDL (5-16, n = 635), and increased triglycerides (7-16, n = 611). Lipid levels were compared with ATPIII National Cholesterol Education Panel (NCEP) intervention guidelines. Individual variants and the APOE haplotype explained <2.1% of the variance in their respective lipid concentrations, with the exception of the CETP SNP rs1800775 and HDL levels (4.76%). Combined risk allele counts outperformed the largest single-SNP effects for LDL (explaining 7.1% of variance) and triglycerides (4.8%), but not HDL (3.4%). Risk alleles were divided as near as possible into quartiles. The 31% of respondents with 10 or more LDL increasing alleles were more likely to have LDL levels above the intervention threshold (OR 3.00, 95% CI 1.67-5.39, P = 2.5 x 10(-4)), compared with the 21% with 7 or less risk alleles. Similarly, the 35% with 13 or more triglyceride risk alleles were more likely to exceed NCEP intervention thresholds (OR 2.98, 95% CI 1.43-6.22, P = 0.004) compared with the 24% with 10 or less alleles. The number of individuals reporting an MI event was small (n = 67), but an event was more common in the 36% of respondents who had the highest combined risk allele score for all three lipids (OR 3.68, 95% CI 1.21-11.2, P = 0.021) compared with the lowest risk 22%. CONCLUSION: In a representative older population, the cumulative effects of proven LDL- and triglyceride-altering genetic variants increased the odds of crossing the lipid-level threshold for therapeutic intervention by approximately three-fold.National Institutes of Health/NIAIntramural Research Program, National Institute on Aging, NIHItalian Ministry of HealthUS National Institute on Agin

A supportive text message intervention for individuals living with endometriosis (EndoSMS) : randomized controlled pilot and feasibility trial

Introduction: As a high symptom burden chronic condition, endometriosis is associated with diminished quality of life (QoL) and psychological distress. The EndoSMS text message intervention was developed to inform and support individuals living with endometriosis. The primary aim of this study is to assess the acceptability, feasibility and preliminary efficacy of EndoSMS, to improve endometriosis-specific QoL and reduce psychological distress in a randomised controlled trial, compared with care as usual. We will additionally assess the impact of EndoSMS on self-efficacy for managing endometriosis. Methodology: A two-arm parallel pilot randomised controlled trial with waitlist control was conducted. Baseline assessments included QoL, psychological distress, self-efficacy, demographic and medical variables. Following baseline survey completion, participants were randomised to either the Intervention (EndoSMS: 3-months of text messaging) or Control condition. At 3-month follow-up, all participants completed an online survey reassessing outcomes, and Intervention participants provided quantitative and qualitative user feedback on EndoSMS. Results: Data collection commenced on 18 November 2021 and was completed on 30 March 2022. Descriptive statistics will be used to analyse feasibility and acceptability of the intervention. Preliminary efficacy analyses will be conducted using linear mixed models for QoL, psychological distress and self-efficacy outcomes. Subgroup analyses will also be conducted for typically underserved populations (e.g., rural/regional). Conclusion: This pilot will provide acceptability, feasibility and preliminary efficacy evidence for the impact of a supportive text messaging program for endometriosis. It will contribute to understanding how to optimally support individuals in living with and managing their endometriosis. Trial Registration: Australian New Zealand Clinical Trials Registry