Articles producció científicaBioquímica i Biotecnologia

Gut Microbiome Alterations in Mild Cognitive Impairment: Findings from the ALBION Greek Cohort

  • Dades identificatives

    Identificador:  imarina:9466770
    Autors:  Rouskas, K; Mamalaki, E; Ntanasi, E; Pantoura, M; Anezaki, M; Emmanouil, C; Novau-Ferre, N; Bulló, M; Dimas, AS; Papandreou, C; Yannakoulia, M; Argiriou, A; Scarmeas, N
    Resum:
    Emerging evidence suggests a potential role of gut dysbiosis in neurodegenerative disorders and, in particular, Alzheimer's disease (AD) pathology and cognitive decline. However, the role of gut microbiome in the early prodromal stages of AD and particularly in mild cognitive impairment (MCI) remains understudied and has been mostly explored in Asian populations with no representation of European populations. To address this research gap in the literature and to suggest novel microbiome features associated with MCI, we conducted a cross-sectional study in a European population sample and profiled gut microbiota in 99 individuals without dementia through 16s ribosomal RNA (rRNA) sequencing. Individuals were categorized by cognitive status based on standard clinical criteria to cognitively normal (n = 49) or individuals with MCI (n = 50). Differential abundance through Microbiome Multivariable Associations with Linear model (MaAsLin2) and elastic net logistic regression analyses were used to identify gut microbiome features associated with MCI. MCI group was older than the CN group and age was used as covariate in the differential abundance analysis. No differences in alpha and beta diversity were found between the two groups (p > 0.05). At false discovery rate (FDR) < 0.05, we identified specific genera associated with MCI, mostly linked to short chain fatty acids (SCFAs) production (e.g., Candidatus_Soleaferrea q = 0.027, MaAsLin2 coefficient = 1.65, Sellimonas q = 0.017, MaAsLin2 coefficient = -4.45), while we highlight nominal (p < 0.05, q > 0.05) correlations of genera (e.g., Hydrogenoanaerobacterium, Subdoligranulum) with metrics of cognitive assessment. Microbiota was shown to have a fairly good discriminative capacity for MCI status (area under the curve AUC = 0.7
  • Altres:

    Autor segons l'article: Rouskas, K; Mamalaki, E; Ntanasi, E; Pantoura, M; Anezaki, M; Emmanouil, C; Novau-Ferre, N; Bulló, M; Dimas, AS; Papandreou, C; Yannakoulia, M; Argiriou, A; Scarmeas, N
    Departament: Bioquímica i Biotecnologia
    Autor/s de la URV: Bulló Bonet, Mònica / Novau Ferré, Nil
    Paraules clau: Recommendations; National institute; Mild cognitive impairment; Microbiota-gut–brain axis; Microbiota-gut-brain axis; Microbiome; Gut microbiota; Disease; Discrimination model; Diagnostic guidelines; Dementia; Alzheimer’s disease; Alzheimers association workgroups; Alzheimer's disease
    Resum: Emerging evidence suggests a potential role of gut dysbiosis in neurodegenerative disorders and, in particular, Alzheimer's disease (AD) pathology and cognitive decline. However, the role of gut microbiome in the early prodromal stages of AD and particularly in mild cognitive impairment (MCI) remains understudied and has been mostly explored in Asian populations with no representation of European populations. To address this research gap in the literature and to suggest novel microbiome features associated with MCI, we conducted a cross-sectional study in a European population sample and profiled gut microbiota in 99 individuals without dementia through 16s ribosomal RNA (rRNA) sequencing. Individuals were categorized by cognitive status based on standard clinical criteria to cognitively normal (n = 49) or individuals with MCI (n = 50). Differential abundance through Microbiome Multivariable Associations with Linear model (MaAsLin2) and elastic net logistic regression analyses were used to identify gut microbiome features associated with MCI. MCI group was older than the CN group and age was used as covariate in the differential abundance analysis. No differences in alpha and beta diversity were found between the two groups (p > 0.05). At false discovery rate (FDR) < 0.05, we identified specific genera associated with MCI, mostly linked to short chain fatty acids (SCFAs) production (e.g., Candidatus_Soleaferrea q = 0.027, MaAsLin2 coefficient = 1.65, Sellimonas q = 0.017, MaAsLin2 coefficient = -4.45), while we highlight nominal (p < 0.05, q > 0.05) correlations of genera (e.g., Hydrogenoanaerobacterium, Subdoligranulum) with metrics of cognitive assessment. Microbiota was shown to have a fairly good discriminative capacity for MCI status (area under the curve AUC = 0.77), with Rothia genus found as the top predictor for MCI (beta coefficient [95% confidence intervals] = 0.224 [0.216-0.233]). Overall, our findings add to current knowledge reporting gut microbiome alterations in MCI by suggesting novel associated microbiome features; however, larger scale longitudinal studies are needed to further elucidate the underlying biological pathways linked to the disease.
    Àrees temàtiques: Virology; Microbiology (medical); Microbiology
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: nil.novau@urv.cat; monica.bullo@urv.cat
    Data d'alta del registre: 2026-03-02
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Microorganisms. 13 (9): 2112-
    Referència de l'ítem segons les normes APA: Rouskas, K; Mamalaki, E; Ntanasi, E; Pantoura, M; Anezaki, M; Emmanouil, C; Novau-Ferre, N; Bulló, M; Dimas, AS; Papandreou, C; Yannakoulia, M; Argiri (2025). Gut Microbiome Alterations in Mild Cognitive Impairment: Findings from the ALBION Greek Cohort. Microorganisms, 13(9), 2112-. DOI: 10.3390/microorganisms13092112
    DOI de l'article: 10.3390/microorganisms13092112
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2025-09-10
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Microbiology,Microbiology (Medical),Virology
    Recommendations
    National institute
    Mild cognitive impairment
    Microbiota-gut–brain axis
    Microbiota-gut-brain axis
    Microbiome
    Gut microbiota
    Disease
    Discrimination model
    Diagnostic guidelines
    Dementia
    Alzheimer’s disease
    Alzheimers association workgroups
    Alzheimer's disease
    Virology
    Microbiology (medical)
    Microbiology
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