The role of miRNAs in stroke

Stroke is currently one of the leading causes of death and disability worldwide. Despite recent advances in the treatment of stroke there is a major unmet clinical need for novel therapeutics for intervention. miRNAs are small coding RNAs which act to post-transcriptionally inhibit expression of genes. Emerging evidence has supported the view that miRNAs play an important role in the development and progression of ischaemic stroke, although understanding remains relatively poor. This research uses several models to investigate the effects of miRNAs in the context of stroke in vivo and in vitro, as well as assessment of patient serum samples in order to identify biomarkers for stroke. miR-29b was found to be significantly upregulated in SHRSP rat brain peri-infarct at 72h following stroke, and downregulated in ischaemic core at 24h and 72h following stroke, whilst miR-29c was significantly downregulated in remainder tissue at 24h following stroke and in infarct at 72h following stroke. The upreglation of miR-29b at 72h corresponded to a significant downregulation of miR-29 target genes MMP2, MMP9 and TGF-β1 in peri-infarct tissue at 72h following stroke. Modulation of miR-29b and miR-29c was achieved in a rat neuronal cell line but suppression of genes of interest was not observed following oxygen glucose deprivation. Several candidate miRNAs were then identified by microRNA Openarray analysis in stroke patient serum samples. Validation of these miRNAs was not demonstrated in the population studied, but assessment of these miRNAs in rat serum and isolated exosomes demonstrated that several of these miRNAs were significantly altered in SHRSP rats following stroke. Finally miR-21 was demonstrated to be significantly upregulated in SHRSP rat peri-infarct following stroke. This was associated with a change in miR-21 localization as determined by in situ hybridization. Modulation of miR-21 via the use of CAG-miR-21 mice demonstrated no difference in infarct size as measured by T2 -weighted MRI scan nor was any difference present in behavioural tests versus wild type. KO of miR-21 resulted in a reduction of survival rate compared with wild type. This thesis demonstrates that miR-29 and miR-21 are modulated following stroke in animal models, and these are potential candidates for therapeutic intervention in the future. Analysis of clinical samples has illustrated difficulties in the identification of serum miRNA profiles and suggests that looking at the exosomal component of serum may provide better information regarding miRNA profiles after stroke.

The role of heart rate as a risk marker for predicting adverse outcomes

Cardiovascular disease is one of the leading causes of death around the world. Resting heart rate has been shown to be a strong and independent risk marker for adverse cardiovascular events and mortality, and yet its role as a predictor of risk is somewhat overlooked in clinical practice. With the aim of highlighting its prognostic value, the role of resting heart rate as a risk marker for death and other adverse outcomes was further examined in a number of different patient populations. A systematic review of studies that previously assessed the prognostic value of resting heart rate for mortality and other adverse cardiovascular outcomes was presented. New analyses of nine clinical trials were carried out. Both the original and extended Cox model that allows for analysis of time-dependent covariates were used to evaluate and compare the predictive value of baseline and time-updated heart rate measurements for adverse outcomes in the CAPRICORN, EUROPA, PROSPER, PERFORM, BEAUTIFUL and SHIFT populations. Pooled individual patient meta-analyses of the CAPRICORN, EPHESUS, OPTIMAAL and VALIANT trials, and the BEAUTIFUL and SHIFT trials, were also performed. The discrimination and calibration of the models applied were evaluated using Harrell’s C-statistic and likelihood ratio tests, respectively. Finally, following on from the systematic review, meta-analyses of the relation between baseline and time-updated heart rate, and the risk of death from any cause and from cardiovascular causes, were conducted. Both elevated baseline and time-updated resting heart rates were found to be associated with an increase in the risk of mortality and other adverse cardiovascular events in all of the populations analysed. In some cases, elevated time-updated heart rate was associated with risk of events where baseline heart rate was not. Time-updated heart rate also contributed additional information about the risk of certain events despite knowledge of baseline heart rate or previous heart rate measurements. The addition of resting heart rate to the models where resting heart rate was found to be associated with risk of outcome improved both discrimination and calibration, and in general, the models including time-updated heart rate along with baseline or the previous heart rate measurement had the highest and similar C-statistics, and thus the greatest discriminative ability. The meta-analyses demonstrated that a 5bpm higher baseline heart rate was associated with a 7.9% and an 8.0% increase in the risk of all-cause and cardiovascular death, respectively (both p less than 0.001). Additionally, a 5bpm higher time-updated heart rate (adjusted for baseline heart rate in eight of the ten studies included in the analyses) was associated with a 12.8% (p less than 0.001) and a 10.9% (p less than 0.001) increase in the risk of all-cause and cardiovascular death, respectively. These findings may motivate health care professionals to routinely assess resting heart rate in order to identify individuals at a higher risk of adverse events. The fact that the addition of time-updated resting heart rate improved the discrimination and calibration of models for certain outcomes, even if only modestly, strengthens the case that it be added to traditional risk models. The findings, however, are of particular importance, and have greater implications for the clinical management of patients with pre-existing disease. An elevated, or increasing heart rate over time could be used as a tool, potentially alongside other established risk scores, to help doctors identify patient deterioration or those at higher risk, who might benefit from more intensive monitoring or treatment re-evaluation. Further exploration of the role of continuous recording of resting heart rate, say, when patients are at home, would be informative. In addition, investigation into the cost-effectiveness and optimal frequency of resting heart rate measurement is required. One of the most vital areas for future research is the definition of an objective cut-off value for the definition of a high resting heart rate.

Quasispecies dynamics and treatment outcome during early hepatitis C infection in a cohort of HIV-infected men

Hepatitis C virus (HCV) is emerging as one of the leading causes of morbidity and mortality in individuals infected with HIV and has overtaken AIDS-defining illnesses as a cause of death in HIV patient populations who have access to highly active antiretroviral therapy. For many years, the clonal analysis was the reference method for investigating viral diversity. In this thesis, a next generation sequencing (NGS) approach was developed using 454 pyrosequencing and Illumina-based technology. A sequencing pipeline was developed using two different NGS approaches, nested PCR, and metagenomics. The pipeline was used to study the viral populations in the sera of HCV-infected patients from a unique cohort of 160 HIV-positive patients with early HCV infection. These pipelines resulted in an improved understanding of HCV quasispecies dynamics, especially regarding studying response to treatment. Low viral diversity at baseline correlated with sustained virological response (SVR) while high viral diversity at baseline was associated with treatment failure. The emergence of new viral strains following treatment failure was most commonly associated with emerging dominance of pre-existing minority variants rather than re-infection. In the new era of direct-acting antivirals, next generation sequencing technologies are the most promising tool for identifying minority variants present in the HCV quasispecies populations at baseline. In this cohort, several mutations conferring resistance were detected in genotype 1a treatment-naïve patients. Further research into the impact of baseline HCV variants on SVR rates should be carried out in this population. A clearer understanding of the properties of viral quasispecies would enable clinicians to make improved treatment choices for their patients.