Version 1
: Received: 4 October 2023 / Approved: 5 October 2023 / Online: 5 October 2023 (13:02:46 CEST)
How to cite:
Guzzi, P.H.; Pedace, E.; Veltri, P. Focusing on Gender and Age Information as Lens for Gene Expression Data: Application to Dyslipidemia-based Atherosclerosis Data. Preprints2023, 2023100289. https://doi.org/10.20944/preprints202310.0289.v1
Guzzi, P.H.; Pedace, E.; Veltri, P. Focusing on Gender and Age Information as Lens for Gene Expression Data: Application to Dyslipidemia-based Atherosclerosis Data. Preprints 2023, 2023100289. https://doi.org/10.20944/preprints202310.0289.v1
Guzzi, P.H.; Pedace, E.; Veltri, P. Focusing on Gender and Age Information as Lens for Gene Expression Data: Application to Dyslipidemia-based Atherosclerosis Data. Preprints2023, 2023100289. https://doi.org/10.20944/preprints202310.0289.v1
APA Style
Guzzi, P.H., Pedace, E., & Veltri, P. (2023). Focusing on Gender and Age Information as Lens for Gene Expression Data: Application to Dyslipidemia-based Atherosclerosis Data. Preprints. https://doi.org/10.20944/preprints202310.0289.v1
Chicago/Turabian Style
Guzzi, P.H., Elisabetta Pedace and Pierangelo Veltri. 2023 "Focusing on Gender and Age Information as Lens for Gene Expression Data: Application to Dyslipidemia-based Atherosclerosis Data" Preprints. https://doi.org/10.20944/preprints202310.0289.v1
Abstract
Dyslipidemia (Dys) is a disease characterised by abnormally high levels of lipids in the 1
blood. It causes the deposits of lipids on the arterial wall, leading to the insurgence of atherosclerosis, 2
i.e. the increased thickness of arterial walls, which finally increases the risk of cardiovascular diseases. 3
Dyslipidemia is as comorbidity of Type 2 Diabetes Mellitus (T2DM). A set of genes has been associated 4
with dyslipidemia, but examining the regulation of such genes in age and sex is still an open research 5
field. In this study, starting from publicly available databases, we select genes associated with 6
dyslipidemia and we analyse their basal level changes by means of age and sex. Also studying the 7
networks associated to the genes, we identify the rewiring changes showing that there exists a set of 8
genes whose expression changes with age in: artery tibial, artery aorta and blood. Finally, we report 9
about changes associated to gender atributes in the extracted data
Keywords
Aging; Network Science
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
