Revealing Stroke Analysis Markers for Studying Heterogeneous Disease State of Stroke

N. Rajendran, Mahadev Rao, N. Rajendran
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Abstract

Early diagnosis of Stroke is challenging due to a lack of dependable diagnostic tests. Currently, the mainstay in early detection is by monitoring health an individual through traditional risk factors such as hypertension. Seeking new determinants, relevant to millennial life style, is therefore warranted. This study reveals new Stroke Analysis Markers (SAM) including Phosphodiesterase-4D involved in cardioembolic stroke. In addition to traditional factors, new millennial risk factors such as molecular and cellular determinants were studied based on 68 years of stroke research data from 1951 to 2019. The rs152312 SNP from stroke patients of deCODE was queried in eNSEMBL, BLAST and other databases to study PDE4D isoforms. In addition, the role of infection, immune cells, inflammation, gut microbial dysbiosis, the prevalence pattern of stroke in geographically different populations were analyzed. This study identified five new millennial risk factors as potentially helpful Stroke Analysis Markers for stroke by conjoining them as a single set of five parasol factors. They include genomic, microbiologic, immunologic, socio-epigenetic factors including two contig and alternative splicing markers along with their prevalence patterns among various populations. Taking appropriate preventive management by monitoring these new risk factors in high-risk individuals during annual checkup could help physicians to make an informed decision. Though significant challenges remain to be solved further large-scale studies on parasol factors will certainly unlock the secrets of early prediction of stroke.
揭示脑卒中分析标志物研究脑卒中异质性疾病状态
由于缺乏可靠的诊断测试,中风的早期诊断具有挑战性。目前,早期检测的主要方法是通过高血压等传统危险因素监测个人的健康状况。因此,寻求与千禧一代生活方式相关的新决定因素是有必要的。这项研究揭示了新的卒中分析标志物(SAM),包括磷酸二酯酶- 4d参与心脏栓塞性卒中。除了传统因素外,根据1951年至2019年68年的中风研究数据,研究了分子和细胞决定因素等新千年风险因素。在eNSEMBL、BLAST等数据库中查询deCODE脑卒中患者rs152312 SNP,研究PDE4D亚型。此外,还分析了感染、免疫细胞、炎症、肠道微生物失调的作用,以及不同地域人群中风的流行模式。这项研究确定了五种新的千禧年风险因素,通过将它们合并为一组五种遮阳伞因素,作为中风分析的潜在有用标记。它们包括基因组,微生物,免疫学,社会表观遗传因素,包括两个contig和alternative剪接标记以及它们在不同人群中的流行模式。通过在年度体检中监测高危人群的这些新的危险因素,采取适当的预防管理可以帮助医生做出明智的决定。尽管仍有重大挑战有待解决,但对遮阳伞因子的进一步大规模研究必将揭开中风早期预测的秘密。
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