Shafieinouri, Mohammad, Hong, Samantha, Lee, Paul Suhwan, Grant, Spencer M, Khani, Marzieh, Dadu, Anant, Schumacher Schuh, Artur F, Makarious, Mary B, Sandon, Rodrigo, Simmonds, Emily, Iwaki, Hirotaka, Hill, Gracelyn, Blauwendraat, Cornelis, Escott-Price, Valentina ![]() ![]() |
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Abstract
Alzheimer's disease (AD) and Parkinson's disease (PD) are influenced by genetic and environmental factors. We conducted a biobank-scale study to (i) identify endocrine, nutritional, metabolic, and digestive disorders with potential causal or temporal associations with AD/PD risk before diagnosis; (ii) assess plasma biomarkers' specificity for AD/PD in the context of co-occurring gut related traits and disorders; and (iii) integrate multimodal datasets to enhance AD/PD prediction. Our findings show that several disorders were associated with increased AD/PD risk before diagnosis, with variation in the strength and timing of associations across conditions. Polygenic risk scores reveal lower genetic predisposition for AD/PD in individuals with co-occurring disorders. Moreover, the proteomic profile of AD/PD cases was influenced by comorbid gut-brain axis disorders. Last, our multimodal prediction models outperform single-modality paradigms in disease classification. This endeavor illuminates the interplay between factors involved in the gut-brain axis and the development of AD/PD, opening avenues for therapeutic targeting and early diagnosis.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Schools > Medicine |
Additional Information: | License information from Publisher: LICENSE 1: Title: cc by-nc, Type: cc by-nc |
Publisher: | American Association for the Advancement of Science |
Date of First Compliant Deposit: | 9 September 2025 |
Date of Acceptance: | 31 July 2025 |
Last Modified: | 09 Sep 2025 09:16 |
URI: | https://orca.cardiff.ac.uk/id/eprint/180998 |
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