Treffer: Biooptimatics studies to further substantiate a liaison between Flaviviridae infections and Parkinson´s disease ; Estudios de bioptimática para profundizar el vínculo entre las infecciones por Flaviviridae y la enfermedad de Parkinson

Title:
Biooptimatics studies to further substantiate a liaison between Flaviviridae infections and Parkinson´s disease ; Estudios de bioptimática para profundizar el vínculo entre las infecciones por Flaviviridae y la enfermedad de Parkinson
Contributors:
Isaza Brando, Clara E., College of Engineering, Cabrera Ríos, Mauricio, González Méndez, Ricardo, Latorre Esteves, Magda, Other, Valderrama Fuquen, Clara
Publication Year:
2022
Collection:
Digital Institutional Repository @UPR (University of Puerto Rico - DiRe.UPR)
Document Type:
Dissertation doctoral or postdoctoral thesis
File Description:
application/pdf
Language:
English
Rights:
Attribution-NonCommercial-ShareAlike 4.0 International ; (c) 2022 Isis Y. Narváez Bandera ; http://creativecommons.org/licenses/by-nc-sa/4.0/
Accession Number:
edsbas.DE4E472E
Database:
BASE

Weitere Informationen

The theory of a viral etiology for Parkinson's disease (PD) has gained growing evidence over the past decade. This work presents an optimization-based meta-analysis to investigate whether Flaviviridae infections, such as Dengue Virus (DV) and Hepatitis C Virus (HCV), are risk factors for PD. To this end, 25 publicly available case-control studies for DV, HCV, and PD were analyzed. To handle this amount of data, it was first necessary to code, automate and enhance the capabilities of the BioOptimatics methods previously proposed by our research group. The optimization-base methods include Multiple criteria optimization (MCO), which selects genes with the largest expression changes, and the Minimum Spanning Tree (MST), which proposes a maximum correlated structure. Therefore, the present work describes the development of an open-source tool in RStudio to enable: (1) individual analysis of single datasets, (2) analysis by sex, and (3) meta-analysis with up to five datasets. The capabilities afforded by the code include license-free portability and the possibility to conduct analyses via modest computer hardware, such as personal laptops. The tool provides affordable, repeatable, and objective detection of differentially expressed genes and potential signaling pathways from microarrays and RNA-sequence datasets. Making use of these advantages, this study identified over 17 genes (IFI27, CFD, ARHGDIB, CSTA, UBA52, RPL9, HBD, RPL39, MMP9, TUBB2A, RPS16, RPS11, RPL18, SLC4A1, RPL30, CD52, and FAU) that could be important in developing PD after DV infection, and over 19 genes (MT1H, MYOM2, RPL18, S100A12, IFIT1, KRT23, GPX3, SRGN, PGK1, SLC30A2, SAA1, SERPI1, FOS, GRN, LYZ, CEBPD, EPB41L3, GSTM1, and CXCL1) that could be a link between HCV and PD. Finally, we propose several possible pathways involving ubiquitination, inflammation, and neurodegeneration that could be crucial in developing PD after DV or HCV infection. Further examination of the link between flavivirus infection and PD is warranted. ; La teoría de una ...