Characterising Alzheimer's disease through integrative NMR- and LC-MS-based metabolomics

Autor: Karsten Vestergård, Jesper F. Havelund, Nils J. Færgeman, Shona Pedersen, Charlotte Held Gotfredsen, Raluca Maltesen, Søren Risom Kristensen, Jonas Ellegaard Nielsen
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Purine
p-tau
Phospho-tau


Amyloid-β

Physiology
Guanosine
QD415-436
Pharmacology
Biochemistry
ROC
Receiver operating characteristics

Nuclear magnetic resonance
MMSE
Mini-mental state examination

chemistry.chemical_compound
Metabolomics
Valine
medicine
Metabolites
sPLS-DA
Sparse partial least squared discriminant analysis

QP1-981
FAQ
Functional activities questionnaire

Inosine
AD
Alzheimer's Disease

EVs
Extracellular vesicles

chemistry.chemical_classification
CSF
Cerebrospinal fluid

PCA
Principal component analysis

Mass spectrometry
CNS
Central nervous system

business.industry
CV
Cross-validation

MCI
Mild cognitive impairment

General Medicine
Metabolism
Extracellular vesicles
AUC
Area under the curve

BBB
Blood-brain barrier

Extracellular vehicles
Fold change
t-tau
Total-tau

Amino acid
ACE
Addenbrooke's cognitive examination

Blood
chemistry
Alzheimer
FDR
False discovery rate

business
BCAA
Branched-chain amino acid

Articles from the Clinical Metabolomics Special Issue
medicine.drug
Zdroj: Metabolism Open, Vol 12, Iss, Pp 100125-(2021)
Nielsen, J E, Maltesen, R G, Havelund, J F, Færgeman, N J, Gotfredsen, C H, Vestergård, K, Kristensen, S R & Pedersen, S 2021, ' Characterising Alzheimer's disease through integrative NMR-and LC-MS-based metabolomics ', Metabolism Open, vol. 12, 100125 . https://doi.org/10.1016/j.metop.2021.100125
Nielsen, J E, Maltesen, R G, Havelund, J F, Færgeman, N J, Gotfredsen, C H, Vestergård, K, Kristensen, S R & Pedersen, S 2021, ' Characterising Alzheimer's disease through integrative NMR-and LC-MS-based metabolomics ', Metabolism open, vol. 12, 100125 . https://doi.org/10.1016/j.metop.2021.100125
Metabolism Open
ISSN: 2589-9368
Popis: Background: Alzheimer's Disease (AD) is a complex and multifactorial disease and novel approaches are needed to illuminate the underlying pathology. Metabolites comprise the end-product of genes, transcripts, and protein regulations and might reflect disease pathogenesis. Blood is a common biofluid used in metabolomics; however, since extracellular vesicles (EVs) hold cell-specific biological material and can cross the blood-brain barrier, their utilization as biological material warrants further investigation. We aimed to investigate blood- and EV-derived metabolites to add insigts to the pathological mechanisms of AD.Methods: Blood samples were collected from 10 AD and 10 Mild Cognitive Impairment (MCI) patients, and 10 healthy controls. EVs were enriched from plasma using 100,000×g, 1 h, 4 °C with a wash. Metabolites from serum and EVs were measured using liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy. Multivariate and univariate analyses were employed to identify altered metabolites in cognitively impaired individuals.Results: While no significant EV-derived metabolites were found differentiating patients from healthy individuals, six serum metabolites were found important; valine (p = 0.001, fold change, FC = 0.8), histidine (p = 0.001, FC = 0.9), allopurinol riboside (p = 0.002, FC = 0.2), inosine (p = 0.002, FC = 0.3), 4-pyridoxic acid (p = 0.006, FC = 1.6), and guanosine (p = 0.004, FC = 0.3). Pathway analysis revealed branched-chain amino acids, purine and histidine metabolisms to be downregulated, and vitamin B6 metabolism upregulated in patients compared to controls.Conclusion: Using a combination of LC-MS and NMR methodologies we identified several altered mechanisms possibly related to AD pathology. EVs require additional optimization prior to their possible utilization as a biological material for AD-related metabolomics studies.
Databáze: OpenAIRE