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      Association of the Genetic Polymorphisms in Pre-MicroRNAs with Risk of Ischemic Stroke in a Chinese Population

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          Abstract

          microRNA (miRNA) plays a role in the pathogenesis of ischemic stroke, and single nucleotide polymorphisms in miRNA genes may contribute to disease susceptibility. However, the effect of miR-146a, miR-196a2, and miR-499 polymorphisms on ischemic stroke susceptibility has been rarely reported. Using the TaqMan assay, we evaluated the association of hsa-miR-146a/rs2910164, hsa-miR-196a2/rs11614913, and hsa-miR-499/rs3746444 polymorphisms with the risk of ischemic stroke in a Chinese population with 531 ischemic stroke patients and 531 control subjects. Rs2910164 C/G genotypes were significantly associated with increased risk of ischemic stroke in different genetic model (homozygote comparison: OR = 2.00, 95% CI, 1.29–3.12, P = 0.002; additive model: OR = 1.35, 95% CI, 1.10–1.65, P = 0.004;dominant model: OR = 1.33, 95% CI, 1.00–1.75, P = 0.049; recessive model: OR = 1.82, 95% CI, 1.20–2.74, P = 0.004). Subjects with allele G of hsa-miR-146a/ rs2910164 also showed increased risk of ischemic stroke (OR = 1.33, 95% CI, 1.09–1.62, P = 0.005). Stratification analysis showed that the association between rs2910164 and the risk of ischemic stroke was more pronounced in subjects over 60 years old, females, non-drinkers, subjects without hypertension or diabetes mellitus. There were significant combined effects between miR-146a/rs2910164 and fasting glucose/low-density lipoprotein cholesterol levels on ischemic stroke susceptibility. However, we failed to find any association between the alleles/genotypes of rs11614913 T/C and ischemic stroke, respectively ( P> 0.05). In summary, this study provides evidence that miR-146a/rs2910164 might be associated with a significantly increased risk of ischemic stroke in a Chinese population, and the combined effects between miRNA polymorphism and fasting glucose /blood lipid levels may contribute to stroke pathogenesis.

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          Genetic variation in microRNA networks: the implications for cancer research.

          Many studies have highlighted the role that microRNAs have in physiological processes and how their deregulation can lead to cancer. More recently, it has been proposed that the presence of single nucleotide polymorphisms in microRNA genes, their processing machinery and target binding sites affects cancer risk, treatment efficacy and patient prognosis. In reviewing this new field of cancer biology, we describe the methodological approaches of these studies and make recommendations for which strategies will be most informative in the future.
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            Stroke and stroke care in China: huge burden, significant workload, and a national priority.

            At the same time as the world recognizes the rapid economic development in China, Chinese healthcare system has also had significant improvement. However, this nation of 1.4 billion faces tough challenges in treating stroke, the leading cause of death in China. The recently completed Chinese National Stroke Registry has provided new information on the status of stroke epidemiology, diagnosis, management, and prevention strategies in China. In this article, we summarized these new findings, described the effort of providing and improving stroke care, and illustrated the challenges in risk factor modification and secondary stroke prevention. Well-designed epidemiological surveys and clinical trials for stroke prevention and management are still urgently needed in China.
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              Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling.

              Recent improvements in the monitoring and modelling of stroke have led to more reliable estimates of stroke mortality and burden worldwide. However, little is known about the global distribution of stroke and its relations to the prevalence of cardiovascular disease risk factors and sociodemographic and economic characteristics. National estimates of stroke mortality and burden (measured in disability-adjusted life years [DALYs]) were calculated from monitoring vital statistics, a systematic review of studies that report disease surveillance, and modelling as part of the WHO Global Burden of Disease programme. Similar methods were used to generate standardised measures of the national prevalence of cardiovascular risk factors. Risk factors other than diabetes and disease burden estimates were age-adjusted and sex-adjusted to the WHO standard population. There was a ten-fold difference in rates of stroke mortality and DALY loss between the most-affected and the least-affected countries. Rates of stroke mortality and DALY loss were highest in eastern Europe, north Asia, central Africa, and the south Pacific. National per capita income was the strongest predictor of mortality and DALY loss rates (p<0.0001) even after adjustment for cardiovascular risk factors (p<0.0001). Prevalences of cardiovascular risk factors measured at a national level were generally poor predictors of national stroke mortality rates and burden, although raised mean systolic blood pressure (p=0.028) and low body-mass index (p=0.017) predicted stroke mortality, and greater prevalence of smoking predicted both stroke mortality (p=0.041) and DALY-loss rates (p=0.034). Rates of stroke mortality and burden vary greatly among countries, but low-income countries are the most affected. Current measures of the prevalence of cardiovascular risk factors at the population level poorly predict overall stroke mortality and burden and do not explain the greater burden in low-income countries.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 February 2015
                2015
                : 10
                : 2
                : e0117007
                Affiliations
                [1 ]Key Laboratory of Molecular Biology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
                [2 ]LongHua new District Center for Disease Control and Prevention, Shenzhen, China
                [3 ]Department of Neurology, People's Hospital of Shenzhen, Shenzhen, China
                [4 ]Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
                The University of Hong Kong, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SLH YWZ JQC TCW. Performed the experiments: SQZ ZQL SSL CHX. Analyzed the data: SLH ZQL. Contributed reagents/materials/analysis tools: YBK PJD YJG QZ ZHY YZ XFC. Wrote the paper: SLH ZQL.

                Article
                PONE-D-14-49745
                10.1371/journal.pone.0117007
                4319971
                25658319
                7604f31f-6baa-4e33-abda-8139c0c2725e
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 5 November 2014
                : 17 December 2014
                Page count
                Figures: 0, Tables: 4, Pages: 10
                Funding
                This work was supported by the following sources: National Natural Science Foundation of China (no: 30771852, JQC), for study design, China Postdoctoral Scientific Foundation (no:2014M562031, SLH) for data collection and analysis, and National Natural Science Foundation of China (no: 81402754, SLH) for preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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