Cited by 28Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMetabolomics and Mass Spectrometry Studies

New screening approach for Alzheimer’s disease risk assessment from urine lipid peroxidation compounds

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Peña-Bautista, Carmen, Vigor, Claire, Galano, Jean-Marie, Oger, Camille, Durand, Thierry, Ferrer, Inés, Cuevas, Ana, López-Cuevas, Rogelio +6 more·2019·Scientific Reports

Abstract

Alzheimer Disease (AD) standard biological diagnosis is based on expensive or invasive procedures. Recent research has focused on some molecular mechanisms involved since early AD stages, such as lipid peroxidation. Therefore, a non-invasive screening approach based on new lipid peroxidation compounds determination would be very useful. Well-defined early AD patients and healthy participants were recruited. Lipid peroxidation compounds were determined in urine using a validated analytical method based on liquid chromatography coupled to tandem mass spectrometry. Statistical studies consisted of the evaluation of two different linear (Elastic Net) and non-linear (Random Forest) regression models to discriminate between groups of participants. The regression models fitted to the data from some lipid peroxidation biomarkers (isoprostanes, neuroprostanes, prostaglandines, dihomo-isoprostanes) in urine as potential predictors of early AD. These prediction models achieved fair validated area under the receiver operating characteristics (AUC-ROCs > 0.68) and their results corroborated each other since they are based on different analytical principles. A satisfactory early screening approach, using two complementary regression models, has been obtained from urine levels of some lipid peroxidation compounds, indicating the individual probability of suffering from early AD.

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References 37 · Cited by 28

Authors
Peña-Bautista, C., Vigor, C., Galano, J.-M., Oger, C., Durand, T., Ferrer, I., Cuevas, A., López-Cuevas, R., Baquero, M., López-Nogueroles, M., Vento, M., Hervás-Marín, D., García-Blanco, A., & Cháfer-Pericás, C.
Affiliations
  • École Nationale Supérieure de Chimie de Montpellier (FR)
  • Hospital Universitari i Politècnic La Fe (ES)
  • Instituto de Investigación Sanitaria La Fe (ES)
Venue
Scientific Reports
Published
2019-10-02
Volume
9
Issue
1
Pages
14244-14244
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2978458696
Cited by
28
References
37
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 7 · 2021: 6 · 2020: 6
FWCI
3.78
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Ministerio de Economía y Competitividad
  • Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España (CP16/00082)
  • Instituto de Salud Carlos III (CP16/00082, JR17/00003)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Keywords
Alzheimer's disease, early diagnosis, non-invasive screening, lipid peroxidation, urinary biomarkers, isoprostanes, neuroprostanes, elastic net, random forest
MeSH terms
Aged, Alzheimer Disease, Chromatography, Liquid, Female, Humans, Male, Middle Aged, Neuropsychological Tests, ROC Curve, Lipid Peroxidation, Biomarkers, Eicosanoids, Linear Models, Risk Assessment, Area Under Curve, Early Diagnosis, Tandem Mass Spectrometry, Neuroimaging

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