Articles producció científicaEnginyeria Informàtica i Matemàtiques

Metabolic Signature of Insulin Resistance and Risk of Alzheimer's Disease

  • Datos identificativos

    Identificador:  imarina:9446254
    Autores:  Gutierrez-Tordera, L; Panisello, L; García-Gonzalez, P; Ruiz, A; Cantero, JL; Rojas-Criollo, M; Mursil, M; Atienza, M; Novau-Ferré, N; Mateu-Fabregat, J; Mostafa, H; Puig, D; Folch, J; Rashwan, H; Marquié, M; Boada, M; Papandreou, C; Bulló, M
    Resumen:
    Background Substantial evidence supports the relationship between peripheral insulin resistance (IR) and the development of Alzheimer's disease (AD)-dementia. However, the mechanisms explaining these associations are only partly understood. We aimed to identify a metabolic signature of IR associated with the progression from mild cognitive impairment (MCI) to AD-dementia. Methods This is a case-control study on 400 MCI subjects, free of type 2 diabetes, within the ACE cohort, including individuals ATN + and ATN-. After a median of 2.1 years of follow-up, 142 subjects converted to AD-dementia. IR was assessed using the homeostasis model assessment for insulin resistance (HOMA-IR). A targeted multiplatform approach profiled over 600 plasma metabolites. Elastic net penalized linear regression with 10-fold cross-validation was employed to select those metabolites associated with HOMA-IR. The prediction ability of the signature was assessed using support vector machine and performance metrics. The metabolic signature was associated with AD-dementia risk using a multivariable Cox regression model. Using counterfactual-based mediation analysis, we investigated the mediation role of the metabolic signature between HOMA-IR and AD-dementia. The metabolic pathways in which the metabolites were involved were identified using MetaboAnalyst. Results The metabolic signature comprised 18 metabolites correlated with HOMA-IR. After adjustments by confounders, the signature was associated with increased AD-dementia risk (HR = 1.234; 95% CI = 1.019-1.494; p < .05). The metabolic signature mediated 35% of the total effect of HOMA-IR on AD-dementia risk. Significant metabolic pathways were related to glycerophospholipid and tyrosine metabolism. Conclusions We have identified a blood-based metabolic signature that reflects IR and may enhance our understanding of the biological mechanisms through which IR affects AD-dementia.
  • Otros:

    Enlace a la fuente original: https://academic.oup.com/biomedgerontology/article/80/3/glae283/7906244
    Referencia de l'ítem segons les normes APA: Gutierrez-Tordera, L; Panisello, L; García-Gonzalez, P; Ruiz, A; Cantero, JL; Rojas-Criollo, M; Mursil, M; Atienza, M; Novau-Ferré, N; Mateu-Fabregat, (2025). Metabolic Signature of Insulin Resistance and Risk of Alzheimer's Disease. JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 80(3), glae283-. DOI: 10.1093/gerona/glae283
    Referencia al articulo segun fuente origial: JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES. 80 (3): glae283-
    DOI del artículo: 10.1093/gerona/glae283
    Año de publicación de la revista: 2025-02-10
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2026-05-09
    Autor/es de la URV: Abdellatif Fatahallah Ibrahim Mahmoud, Hatem / Bulló Bonet, Mònica / Folch Lopez, Jaume / GUTIERREZ TORDERA, LAIA / Mateu Fabregat, Javier / Mursil, Muhammad / Novau Ferré, Nil / Panisello Melo, Laura / Puig Valls, Domènec Savi / Rojas Criollo, Melina Isabella
    Departamento: Bioquímica i Biotecnologia, Enginyeria Informàtica i Matemàtiques
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Gutierrez-Tordera, L; Panisello, L; García-Gonzalez, P; Ruiz, A; Cantero, JL; Rojas-Criollo, M; Mursil, M; Atienza, M; Novau-Ferré, N; Mateu-Fabregat, J; Mostafa, H; Puig, D; Folch, J; Rashwan, H; Marquié, M; Boada, M; Papandreou, C; Bulló, M
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Sociología y política, Sociologia i política, Psychology, Medicine (all), Gerontology, Geriatrics and gerontology, Geriatrics & gerontology, General medicine, Ciencias sociales, Ciências biológicas i, Biotecnología, Aging
    Direcció de correo del autor: nil.novau@urv.cat, nil.novau@urv.cat, javier.mateu@urv.cat, muhammad.mursil@urv.cat, laura.panisello@urv.cat, laura.panisello@urv.cat, hatem.abdellatif@urv.cat, hatem.abdellatif@urv.cat, melina.rojas@estudiants.urv.cat, laia.gutierrez@iispv.cat, hatem.abdellatif@urv.cat, monica.bullo@urv.cat, monica.bullo@urv.cat, domenec.puig@urv.cat, domenec.puig@urv.cat, jaume.folch@urv.cat, jaume.folch@urv.cat
  • Palabras clave:

    Sensitivity
    Predic
    Mild cognitive impairment
    Metabolomics
    Metabolomic
    Good health and well-being
    Dementia
    Blood
    Biomarkers
    Aging
    Geriatrics & Gerontology
    Geriatrics and Gerontology
    Gerontology
    Sociología y política
    Sociologia i política
    Psychology
    Medicine (all)
    General medicine
    Ciencias sociales
    Ciências biológicas i
    Biotecnología
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