Lysophosphatidylcholines are associated with P-tau181 levels in early stages of Alzheimer's Disease.


Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
08 Jan 2024
Historique:
pubmed: 23 1 2024
medline: 23 1 2024
entrez: 23 1 2024
Statut: epublish

Résumé

We profiled circulating plasma metabolites to identify systemic biochemical changes in clinical and biomarker-assisted diagnosis of Alzheimer's disease (AD). We used an untargeted approach with liquid chromatography coupled to high-resolution mass spectrometry to measure small molecule plasma metabolites from 150 clinically diagnosed AD patients and 567 age-matched healthy elderly of Caribbean Hispanic ancestry. Plasma biomarkers of AD were measured including P-tau181, Aβ40, Aβ42, total-tau, neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP). Association of individual and co-abundant modules of metabolites were tested with clinical diagnosis of AD, as well as biologically-defined AD pathological process based on P-tau181 and other biomarker levels. Over 6000 metabolomic features were measured with high accuracy. First principal component (PC) of lysophosphatidylcholines (lysoPC) that bind to or interact with docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA) and arachidonic acid (AHA) was associated with decreased risk of AD (OR = 0.91 [0.89-0.96], p = 2e-04). Association was restricted to individuals without an Unbiased metabolic profiling can identify critical metabolites and pathways associated with β-amyloid and phosphotau pathology. We also observed an

Sections du résumé

Background UNASSIGNED
We profiled circulating plasma metabolites to identify systemic biochemical changes in clinical and biomarker-assisted diagnosis of Alzheimer's disease (AD).
Methods UNASSIGNED
We used an untargeted approach with liquid chromatography coupled to high-resolution mass spectrometry to measure small molecule plasma metabolites from 150 clinically diagnosed AD patients and 567 age-matched healthy elderly of Caribbean Hispanic ancestry. Plasma biomarkers of AD were measured including P-tau181, Aβ40, Aβ42, total-tau, neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP). Association of individual and co-abundant modules of metabolites were tested with clinical diagnosis of AD, as well as biologically-defined AD pathological process based on P-tau181 and other biomarker levels.
Results UNASSIGNED
Over 6000 metabolomic features were measured with high accuracy. First principal component (PC) of lysophosphatidylcholines (lysoPC) that bind to or interact with docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA) and arachidonic acid (AHA) was associated with decreased risk of AD (OR = 0.91 [0.89-0.96], p = 2e-04). Association was restricted to individuals without an
Conclusions UNASSIGNED
Unbiased metabolic profiling can identify critical metabolites and pathways associated with β-amyloid and phosphotau pathology. We also observed an

Identifiants

pubmed: 38260644
doi: 10.21203/rs.3.rs-3346076/v1
pmc: PMC10802729
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIA NIH HHS
ID : R01 AG067501
Pays : United States
Organisme : NIA NIH HHS
ID : R56 AG063908
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG015473
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001873
Pays : United States

Déclaration de conflit d'intérêts

Declarations Competing interests: The authors do not have any conflict of interest with the research presented in this investigation. Additional Declarations: There is NO Competing Interest.

Auteurs

Vrinda Kalia (V)

Columbia University Mailman School of Public Health.

Dolly Reyes-Dumeyer (D)

Columbia University Irving Medical Center.

Saurabh Dubey (S)

Columbia University.

Renu Nandakumar (R)

Columbia University.

Annie Lee (A)

Center for Translational & Computational Neuroimmunology.

Rafael Lantigua (R)

Columbia University.

Martin Medrano (M)

Pontificia Universidad Catolica Madre y Masestra.

Richard Mayeux (R)

Columbia University.

Classifications MeSH