MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis
Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis
Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis
Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis
Journal Article

Exploring shared biomarkers and shared pathways in insomnia and atherosclerosis using integrated bioinformatics analysis

2024
Request Book From Autostore and Choose the Collection Method
Overview
Insomnia (ISM) is one of the non-traditional drivers of atherosclerosis (AS) and an important risk factor for AS-related cardiovascular disease. Our study aimed to explore the shared pathways and diagnostic biomarkers of ISM-related AS using integrated bioinformatics analysis. We download the datasets from the Gene Expression Omnibus database and the GeneCards database. Weighted gene co-expression network analysis and gene differential expression analysis were applied to screen the AS-related gene set. The shared genes of ISM and AS were obtained by intersecting with ISM-related genes. Subsequently, candidate diagnostic biomarkers were identified by constructing protein-protein interaction networks and machine learning algorithms, and a nomogram was constructed. Moreover, to explore potential mechanisms, a comprehensive analysis of shared genes was carried out, including enrichment analysis, protein interactions, immune cell infiltration, and single-cell sequencing analysis. We successfully screened 61 genes shared by ISM and AS, of which 3 genes ( , , and ) were identified as diagnostic biomarkers. A nomogram with excellent predictive value was constructed (the area under curve of the model constructed by the biomarkers was 0.931, and the validation set was 0.745). In addition, the shared genes were mainly enriched in immune and inflammatory response regulation pathways. The biomarkers were associated with a variety of immune cells, especially myeloid immune cells. We constructed a diagnostic nomogram based on , , and and explored the inflammatory-immune mechanisms, which indicated new insights for early diagnosis and treatment of ISM-related AS.