Cargando…

Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease

BACKGROUND: A factor leading to Alzheimer’s Disease (AD), portrayed by peripheral insulin resistance, is Type 2 diabetes mellitus (T2D). The likelihood of T2D cases would be at boosted danger in alternating AD cases has severe social consequences. Several genes have been detected via gene expression...

Descripción completa

Detalles Bibliográficos
Autores principales: Afzal, Muhammad, Alharbi, Khalid Saad, Alzarea, Sami I., Alyamani, Najiah M., Kazmi, Imran, Güven, Emine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876837/
https://www.ncbi.nlm.nih.gov/pubmed/36711310
http://dx.doi.org/10.1016/j.heliyon.2022.e12202
_version_ 1784878251830673408
author Afzal, Muhammad
Alharbi, Khalid Saad
Alzarea, Sami I.
Alyamani, Najiah M.
Kazmi, Imran
Güven, Emine
author_facet Afzal, Muhammad
Alharbi, Khalid Saad
Alzarea, Sami I.
Alyamani, Najiah M.
Kazmi, Imran
Güven, Emine
author_sort Afzal, Muhammad
collection PubMed
description BACKGROUND: A factor leading to Alzheimer’s Disease (AD), portrayed by peripheral insulin resistance, is Type 2 diabetes mellitus (T2D). The likelihood of T2D cases would be at boosted danger in alternating AD cases has severe social consequences. Several genes have been detected via gene expression profiling or different techniques; despite the consideration of the utility of numerous of these genes stays insufficient. METHODS: This project is designed to uncover the mutual genomics motifs between AD and T2D via non-negative matrix factorization (NMF) of differentially expressed genes (DEGs) of T2D Mellitus of human cortical neurons of the neurovascular unit gene expression data. A rank factorization value is calculated by employing the combination of the NMF model with the unit invariant knee (UIK) point method. The metagenes are further determined by remarking the enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and gene ontology (GO) enrichment tools. In this study, the most highly expressed genes of metagenes are subjected to protein-protein interaction (PPI) network study to discover the most significant biomarkers of T2D Mellitus in the ageing brain. RESULTS: We screened the most important shared genes (CDKN1A, COL22A1, EIF4A, GFAP, SLC1A1, and VIM) and essential human molecular pathways that motivate these diseases. The study aimed to validate the most significant hub genes using network-based methods which detected the corresponding relationship between AD and T2D. CONCLUSIONS: Using in silico tools, the computational pipeline has broadly examined transformed pathways and discovered promising biomarkers and drug targets. We validated the most significant hub genes using network-based methods which detected the corresponding relationship between AD and T2D. These consequences on brain cells hypothetically reserve to diabetic Alzheimer’s so-called type 3 diabetes (T3D) and may offer promising methodologies for curative intrusion.
format Online
Article
Text
id pubmed-9876837
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-98768372023-01-27 Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease Afzal, Muhammad Alharbi, Khalid Saad Alzarea, Sami I. Alyamani, Najiah M. Kazmi, Imran Güven, Emine Heliyon Research Article BACKGROUND: A factor leading to Alzheimer’s Disease (AD), portrayed by peripheral insulin resistance, is Type 2 diabetes mellitus (T2D). The likelihood of T2D cases would be at boosted danger in alternating AD cases has severe social consequences. Several genes have been detected via gene expression profiling or different techniques; despite the consideration of the utility of numerous of these genes stays insufficient. METHODS: This project is designed to uncover the mutual genomics motifs between AD and T2D via non-negative matrix factorization (NMF) of differentially expressed genes (DEGs) of T2D Mellitus of human cortical neurons of the neurovascular unit gene expression data. A rank factorization value is calculated by employing the combination of the NMF model with the unit invariant knee (UIK) point method. The metagenes are further determined by remarking the enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and gene ontology (GO) enrichment tools. In this study, the most highly expressed genes of metagenes are subjected to protein-protein interaction (PPI) network study to discover the most significant biomarkers of T2D Mellitus in the ageing brain. RESULTS: We screened the most important shared genes (CDKN1A, COL22A1, EIF4A, GFAP, SLC1A1, and VIM) and essential human molecular pathways that motivate these diseases. The study aimed to validate the most significant hub genes using network-based methods which detected the corresponding relationship between AD and T2D. CONCLUSIONS: Using in silico tools, the computational pipeline has broadly examined transformed pathways and discovered promising biomarkers and drug targets. We validated the most significant hub genes using network-based methods which detected the corresponding relationship between AD and T2D. These consequences on brain cells hypothetically reserve to diabetic Alzheimer’s so-called type 3 diabetes (T3D) and may offer promising methodologies for curative intrusion. Elsevier 2022-12-16 /pmc/articles/PMC9876837/ /pubmed/36711310 http://dx.doi.org/10.1016/j.heliyon.2022.e12202 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Afzal, Muhammad
Alharbi, Khalid Saad
Alzarea, Sami I.
Alyamani, Najiah M.
Kazmi, Imran
Güven, Emine
Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease
title Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease
title_full Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease
title_fullStr Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease
title_full_unstemmed Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease
title_short Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer’s disease
title_sort revealing genetic links of type 2 diabetes that lead to the development of alzheimer’s disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876837/
https://www.ncbi.nlm.nih.gov/pubmed/36711310
http://dx.doi.org/10.1016/j.heliyon.2022.e12202
work_keys_str_mv AT afzalmuhammad revealinggeneticlinksoftype2diabetesthatleadtothedevelopmentofalzheimersdisease
AT alharbikhalidsaad revealinggeneticlinksoftype2diabetesthatleadtothedevelopmentofalzheimersdisease
AT alzareasamii revealinggeneticlinksoftype2diabetesthatleadtothedevelopmentofalzheimersdisease
AT alyamaninajiahm revealinggeneticlinksoftype2diabetesthatleadtothedevelopmentofalzheimersdisease
AT kazmiimran revealinggeneticlinksoftype2diabetesthatleadtothedevelopmentofalzheimersdisease
AT guvenemine revealinggeneticlinksoftype2diabetesthatleadtothedevelopmentofalzheimersdisease