What is the Delirium Bibliography? The searchable Delirium Bibliography page is one of our most popular features, allowing you to quickly gain access to the literature on delirium and acute care of older persons. It is primarily intended for clinicians and researchers interested in exploring these topics. The NIDUS team keeps it updated for you on a monthly basis!
How to Search for Articles: Search by author, title, year, and/or keywords. Each article is indexed by keywords taken from MEDLINE and other relevant databases. Click on the title of the article to read the abstract, journal, etc.
Reference Information
- Title
- Integrated Multi-Omics Analysis of Cerebrospinal Fluid in Postoperative Delirium
- Authors
- Tripp, B. A. Dillon, S. T. Yuan, M. Asara, J. M. Vasunilashorn, S. M. Fong, T. G. Inouye, S. K. Ngo, L. H. Marcantonio, E. R. Xie, Z. Libermann, T. A. Otu, H. H.
- Year
- 2024
- Journal
- Biomolecules
- Abstract
Preoperative risk biomarkers for delirium may aid in identifying high-risk patients and developing intervention therapies, which would minimize the health and economic burden of postoperative delirium. Previous studies have typically used single omics approaches to identify such biomarkers. Preoperative cerebrospinal fluid (CSF) from the Healthier Postoperative Recovery study of adults ≥ 63 years old undergoing elective major orthopedic surgery was used in a matched pair delirium case-no delirium control design. We performed metabolomics and lipidomics, which were combined with our previously reported proteomics results on the same samples. Differential expression, clustering, classification, and systems biology analyses were applied to individual and combined omics datasets. Probabilistic graph models were used to identify an integrated multi-omics interaction network, which included clusters of heterogeneous omics interactions among lipids, metabolites, and proteins. The combined multi-omics signature of 25 molecules attained an AUC of 0.96 [95% CI: 0.85-1.00], showing improvement over individual omics-based classification. We conclude that multi-omics integration of preoperative CSF identifies potential risk markers for delirium and generates new insights into the complex pathways associated with delirium. With future validation, this hypotheses-generating study may serve to build robust biomarkers for delirium and improve our understanding of its pathophysiology.
- PMID
PMID: 39199312
PMCID: PMC11352186
- Keywords
Humans
*Delirium/cerebrospinal fluid/metabolism
Aged
Female
Male
*Biomarkers/cerebrospinal fluid
*Metabolomics/methods
*Postoperative Complications/cerebrospinal fluid
Middle Aged
Proteomics/methods
Lipidomics
Aged, 80 and over
Case-Control Studies
Multiomics
delirium
metabolomics
multi-omics
proteomics
risk factors
- Page(s)
- Volume
- Issue
| Title | Authors | Journal | Year | Keywords |
|---|---|---|---|---|
| Undiagnosed delirium is frequent and difficult to predict: Results from a prevalence survey of a tertiary hospital. | Lange, P. W. Lamanna, M. Watson, R. Maier, A. B. | J Clin Nurs | 2019 |
Undiagnosed delirium |