English | 2021 | ISBN-13: 978-3030688431 | 295 Pages | PDF, EPUB | 20.59 MB

This book gives insight into the functional role of non-coding RNAs in central pathways contributing to the development of obesity, type 2 diabetes, non-alcoholic fatty liver disease, atherosclerosis, myocardial infarction, cardiomyopathy, and heart failure. It also sheds light on the relationship of this cluster with cancer. Tumor cells, in contrast to cells in cardiometabolic tissues, can regulate this cluster of non-coding RNAs to escape from oxidative stress and anti-tumor immunity and maintain insulin sensitivity, facilitating cancer progression. The book presents a cluster of non-coding RNAs that may be prospectively analyzed in extensive cohort studies to determine their value in risk-predicting machine learning algorithms. In addition, it emphasizes the role of microvesicles in communication between tumor-adjacent tissue, inflammatory cells, and tumor cells, with a special focus on the role of miR-155.

The book intends to promote interdisciplinary research. Due to the comprehensive background information provided in each chapter, it is suitable for researchers in academia and industry and for graduate students in biology, bioengineering, and medicine.

English | 2021 | ISBN-13: 978-3030688431 | 295 Pages | PDF, EPUB | 20.59 MB

This book gives insight into the functional role of non-coding RNAs in central pathways contributing to the development of obesity, type 2 diabetes, non-alcoholic fatty liver disease, atherosclerosis, myocardial infarction, cardiomyopathy, and heart failure. It also sheds light on the relationship of this cluster with cancer. Tumor cells, in contrast to cells in cardiometabolic tissues, can regulate this cluster of non-coding RNAs to escape from oxidative stress and anti-tumor immunity and maintain insulin sensitivity, facilitating cancer progression. The book presents a cluster of non-coding RNAs that may be prospectively analyzed in extensive cohort studies to determine their value in risk-predicting machine learning algorithms. In addition, it emphasizes the role of microvesicles in communication between tumor-adjacent tissue, inflammatory cells, and tumor cells, with a special focus on the role of miR-155.

The book intends to promote interdisciplinary research. Due to the comprehensive background information provided in each chapter, it is suitable for researchers in academia and industry and for graduate students in biology, bioengineering, and medicine.