Skip to main content
Journal cover image

Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease.

Publication ,  Journal Article
Horgusluoglu, E; Neff, R; Song, W-M; Wang, M; Wang, Q; Arnold, M; Krumsiek, J; Galindo-Prieto, B; Ming, C; Nho, K; Kastenmüller, G; Han, X ...
Published in: Alzheimers Dement
June 2022

Metabolites, the biochemical products of the cellular process, can be used to measure alterations in biochemical pathways related to the pathogenesis of Alzheimer's disease (AD). However, the relationships between systemic abnormalities in metabolism and the pathogenesis of AD are poorly understood. In this study, we aim to identify AD-specific metabolomic changes and their potential upstream genetic and transcriptional regulators through an integrative systems biology framework for analyzing genetic, transcriptomic, metabolomic, and proteomic data in AD. Metabolite co-expression network analysis of the blood metabolomic data in the Alzheimer's Disease Neuroimaging Initiative (ADNI) shows short-chain acylcarnitines/amino acids and medium/long-chain acylcarnitines are most associated with AD clinical outcomes, including episodic memory scores and disease severity. Integration of the gene expression data in both the blood from the ADNI and the brain from the Accelerating Medicines Partnership Alzheimer's Disease (AMP-AD) program reveals ABCA1 and CPT1A are involved in the regulation of acylcarnitines and amino acids in AD. Gene co-expression network analysis of the AMP-AD brain RNA-seq data suggests the CPT1A- and ABCA1-centered subnetworks are associated with neuronal system and immune response, respectively. Increased ABCA1 gene expression and adiponectin protein, a regulator of ABCA1, correspond to decreased short-chain acylcarnitines and amines in AD in the ADNI. In summary, our integrated analysis of large-scale multiomics data in AD systematically identifies novel metabolites and their potential regulators in AD and the findings pave a way for not only developing sensitive and specific diagnostic biomarkers for AD but also identifying novel molecular mechanisms of AD pathogenesis.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Alzheimers Dement

DOI

EISSN

1552-5279

Publication Date

June 2022

Volume

18

Issue

6

Start / End Page

1260 / 1278

Location

United States

Related Subject Headings

  • Proteomics
  • Metabolomics
  • Metabolic Networks and Pathways
  • Humans
  • Geriatrics
  • Genomics
  • Amino Acids
  • Alzheimer Disease
  • 5202 Biological psychology
  • 3209 Neurosciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Horgusluoglu, E., Neff, R., Song, W.-M., Wang, M., Wang, Q., Arnold, M., … Alzheimer Disease Metabolomics Consortium, . (2022). Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease. Alzheimers Dement, 18(6), 1260–1278. https://doi.org/10.1002/alz.12468
Horgusluoglu, Emrin, Ryan Neff, Won-Min Song, Minghui Wang, Qian Wang, Matthias Arnold, Jan Krumsiek, et al. “Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease.Alzheimers Dement 18, no. 6 (June 2022): 1260–78. https://doi.org/10.1002/alz.12468.
Horgusluoglu E, Neff R, Song W-M, Wang M, Wang Q, Arnold M, et al. Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease. Alzheimers Dement. 2022 Jun;18(6):1260–78.
Horgusluoglu, Emrin, et al. “Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease.Alzheimers Dement, vol. 18, no. 6, June 2022, pp. 1260–78. Pubmed, doi:10.1002/alz.12468.
Horgusluoglu E, Neff R, Song W-M, Wang M, Wang Q, Arnold M, Krumsiek J, Galindo-Prieto B, Ming C, Nho K, Kastenmüller G, Han X, Baillie R, Zeng Q, Andrews S, Cheng H, Hao K, Goate A, Bennett DA, Saykin AJ, Kaddurah-Daouk R, Zhang B, Alzheimer’s Disease Neuroimaging Initiative (ADNI), Alzheimer Disease Metabolomics Consortium. Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease. Alzheimers Dement. 2022 Jun;18(6):1260–1278.
Journal cover image

Published In

Alzheimers Dement

DOI

EISSN

1552-5279

Publication Date

June 2022

Volume

18

Issue

6

Start / End Page

1260 / 1278

Location

United States

Related Subject Headings

  • Proteomics
  • Metabolomics
  • Metabolic Networks and Pathways
  • Humans
  • Geriatrics
  • Genomics
  • Amino Acids
  • Alzheimer Disease
  • 5202 Biological psychology
  • 3209 Neurosciences