We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.


Multiomics Approach Identifies Four Distinct Molecular Profiles of Alzheimer’s

An old person holds their hands in their lap.
Credit: Danie Franco/ Unsplash
Listen with
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: 1 minute

Omics analysis is the process of analyzing large data sets to extract meaningful information about biological molecules—genes, DNA, RNA, proteins, metabolites or more—with the goal of illuminating typical molecular pathways and deciphering where things go awry in disease. In a study led by Bruno A. Benitez, MD, a human geneticist and director of the Neurobiorepository in the department of Neurology at Beth Israel Deaconess Medical Center (BIDMC), investigators used machine learning approaches to integrate high-throughput transcriptomic, proteomic, metabolomic, and lipidomic profiles to provide novel critical molecular insights into Alzheimer’s Disease (AD) that single-omic analyses cannot offer.

The cross-omics approach identified four distinct molecular profiles of AD, one of which was associated with worse cognitive function and neuropathological features, including significantly higher Clinical Dementia Rating at death, shorter lifespan after symptom onset, more severe neurodegeneration and neuroinflammation and decreased levels of metabolomic profiles. This molecular profile was present in multiple affected cortical regions associated with more advanced disease—that is, those with more of the tau protein pathology seen in AD as well as significant dysregulation of synapse-related genes and signaling pathways altered in AD early and late stages. 

Want more breaking news?

Subscribe to Technology Networks’ daily newsletter, delivering breaking science news straight to your inbox every day.

Subscribe for FREE
The team’s results suggest that cross-omics analyses can capture differences and identify molecular variations in complex and heterogeneous diseases like Alzheimer's Disease that are otherwise missed in single-modality omics approaches. By utilizing this approach, scientists can better understand this disease—and others—and pave the way for new breakthroughs and potential therapies.

Cross-omics approaches can serve as a powerful tool in investigators' efforts to understand Alzheimer's Disease, Benitez said. “These approaches are not only superior to single-omic analyses, but also provide invaluable molecular insights into the pathogenesis of this disease,” he added. “We have identified molecular markers for an early stage of the disease reflecting synaptic dysfunction, cognition, and AD staging, paving the way for precision medicine. Our research serves as a beacon of hope for those affected by AD, inspiring us to continue our relentless pursuit of knowledge and progress; we expect to replicate these findings in BIDMC patients with Alzheimer’s disease.”

Reference: Eteleeb AM, Novotny BC, Tarraga CS, et al. Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer’s disease. PLOS Biol. 2024;22(4):e3002607. doi: 10.1371/journal.pbio.3002607

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source. Our press release publishing policy can be accessed here.