In Silico Identification of Interaction between Ageing and Cardiovascular Disease Genes

Nikita Chordia, Teena Patidar, Priyesh Hardia
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Abstract

Heart is the central organ that pumps pure blood to whole body through blood vessels. This circulation system involves functioning of large number of genes that interacts for proper functioning. Any malfunctioning of single gene leads to the cardiovascular diseases (CVDs) Aging is an inevitable part of life and unfortunately the risk of CVDs increases with ageing. Although numerous studies were carried on cardiovascular diseases that considered both young and aged humans, but still there are many unanswered questions as to how the genetic pathways that regulate aging influence cardiovascular disease and vice versa. Therefore, this is of great interest to identify the interaction between cardiovascular diseases and ageing genes. Genes for CVDs and ageing were collected from various databases and a network was created for their common genes. Network in analyzed to find the interaction between ageing and cardiovascular disease genes.
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老化与心血管疾病基因相互作用的计算机识别
心脏是将纯血液通过血管输送到全身的中心器官。这个循环系统涉及大量基因的功能,这些基因相互作用才能正常运作。衰老是生命不可避免的一部分,不幸的是,心血管疾病的风险随着年龄的增长而增加。尽管对心血管疾病进行了大量的研究,包括年轻人和老年人,但关于调节衰老的遗传途径如何影响心血管疾病,反之亦然,仍有许多未解之谜。因此,确定心血管疾病与衰老基因之间的相互作用具有重要意义。从不同的数据库中收集了心血管疾病和衰老的基因,并为它们的共同基因创建了一个网络。通过对网络的分析,发现衰老与心血管疾病基因之间的相互作用。
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来源期刊
Journal of Medical Imaging and Health Informatics
Journal of Medical Imaging and Health Informatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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0.00%
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0
审稿时长
6-12 weeks
期刊介绍: Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.
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