Publications by authors named "Martinez-Lage P"

Background And Objectives: Vascular risk factors (VRFs) and cerebral small vessel disease (cSVD) are common in patients with Alzheimer disease (AD). It remains unclear whether this coexistence reflects shared risk factors or a mechanistic relationship and whether vascular and amyloid pathologies have independent or synergistic influence on subsequent AD pathophysiology in preclinical stages. We investigated links between VRFs, cSVD, and amyloid levels (Aβ) and their combined effect on downstream AD biomarkers, that is, CSF hyperphosphorylated tau (P-tau), atrophy, and cognition.

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  • Blood-derived DNA methylation shows potential for early detection of dementia risk, linking biological factors with lifestyle and environmental influences.
  • A multivariate methylation risk score (MMRS) was developed, predicting mild cognitive impairment independently of age and sex, alongside significant future risk of cognitive decline in Alzheimer’s and Parkinson’s diseases.
  • The study highlights the integration of machine learning and omics data to enhance dementia risk prediction at the population level.
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  • The study examined DNA methylation patterns in blood samples related to 15 key biomarkers of Alzheimer's disease, focusing on neuroinflammation and neurodegeneration effects.
  • Using 885 samples from the EMIF-AD study, researchers identified significant differential methylation connected to CSF levels of YKL-40 and neurofilament light chain (NfL).
  • Findings suggest a link between YKL-40 DNA methylation and genetic variants, with implications for understanding how DNA methylation influences protein levels relevant to Alzheimer's disease.
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Introduction: Recent studies have suggested that sustained multidomain interventions, including physical exercise, may be beneficial in preventing cognitive decline. This review aims to assess the impact of prolonged physical exercise and multidomain strategies on overall cognitive faculties and dementia risk among community-dwelling older adults without dementia.

Methods: We systematically searched PubMed, Web of Science, PsychInfo, and CINHAL databases from inception until April 1, 2024, for randomized controlled trials that investigated the effects of long-term (≥ 12 months) physical exercise or multidomain interventions on non-demented, community-dwelling older adults.

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Introduction: We investigated how cerebrospinal fluid levels of synaptic proteins associate with memory function in normal cognition (CN) and mild cognitive impairment (MCI), and investigated the effect of amyloid positivity on these associations.

Methods: We included 242 CN (105(43%) abnormal amyloid), and 278 MCI individuals (183(66%) abnormal amyloid) from EMIF-AD MBD and ADNI. For 181 (EMIF-AD MBD) and 36 (ADNI) proteins with a synaptic annotation in SynGO, associations with word learning recall were analysed with linear models.

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  • The study explores the genetic risk factors for Alzheimer's disease (AD) and their connection to various brain changes, aiming to enhance precision medicine strategies.
  • Researchers calculated specific genetic risk scores in healthy individuals to see how these scores correlate with AD-related biomarkers found in cerebrospinal fluid and imaging techniques.
  • Findings show that different genetic pathways link to distinct brain conditions, such as inflammation affecting vascular health and other pathways influencing white matter and brain connectivity, highlighting the complexity of AD and its potential for personalized treatment approaches.
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Background: Structural and functional changes of the choroid plexus (ChP) have been reported in Alzheimer's disease (AD). Nonetheless, the role of the ChP in the pathogenesis of AD remains largely unknown. We aim to unravel the relation between ChP functioning and core AD pathogenesis using a unique proteomic approach in mice and humans.

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  • The study investigated the role of neurodegeneration markers (neurogranin, neurofilament light, and hippocampal volume) in Alzheimer's disease using cerebrospinal fluid proteomics.
  • A small number of individuals exhibited both amyloid and tau pathology with either neurogranin or neurofilament light, showing distinct proteomic profiles based on these markers.
  • The findings suggest that neurogranin might not be the best indicator of neurodegeneration and that different markers provide unique insights into the disease, helping refine staging beyond just amyloid and tau levels.
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Background: Alzheimer's disease (AD) is a neurodegenerative condition for which there is currently no available medication that can stop its progression. Previous studies suggest that mild cognitive impairment (MCI) is a phase that precedes the disease. Therefore, a better understanding of the molecular mechanisms behind MCI conversion to AD is needed.

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Objective: Alzheimer's disease (AD) and cerebral small vessel disease (cSVD), the two most common causes of dementia, are characterized by white matter (WM) alterations diverging from the physiological changes occurring in healthy aging. Diffusion tensor imaging (DTI) is a valuable tool to quantify WM integrity non-invasively and identify the determinants of such alterations. Here, we investigated main effects and interactions of AD pathology, APOE-ε4, cSVD, and cardiovascular risk on spatial patterns of WM alterations in non-demented older adults.

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  • Alzheimer's disease is a progressive condition that requires early detection for effective treatment but currently relies on expensive and invasive diagnostic methods.
  • This study introduces label-free Raman spectroscopy combined with machine learning as a new approach for diagnosing preclinical Alzheimer's by analyzing cerebrospinal fluid samples for specific molecules like nucleic acids and proteins.
  • The resulting model shows strong reliability across different patient cohorts and time periods, demonstrating Raman spectroscopy's potential for non-invasive Alzheimer's diagnosis and promising future clinical application.
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Background: GOIZ ZAINDU ("caring early" in Basque) is a pilot study to adapt the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) methodology to the Basque population and evaluate the feasibility and adherence to a FINGER-like multidomain intervention program. Additional aims included the assessment of efficacy on cognition and data collection to design a large efficacy trial.

Method: GOIZ ZAINDU is a 1-year, randomized, controlled trial of a multidomain intervention in persons aged 60+ years, with Cardiovascular Risk Factors, Aging and Dementia (CAIDE) risk score ≥ 6, no diagnosis of dementia, and below-than-expected performance in at least one of three cognitive screening tests.

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Background: Genome-wide association studies (GWAS) of Alzheimer's disease (AD) have identified several risk loci, but many remain unknown. Cerebrospinal fluid (CSF) biomarkers may aid in gene discovery and we previously demonstrated that six CSF biomarkers (β-amyloid, total/phosphorylated tau, NfL, YKL-40, and neurogranin) cluster into five principal components (PC), each representing statistically independent biological processes. Here, we aimed to (1) identify common genetic variants associated with these CSF profiles, (2) assess the role of associated variants in AD pathophysiology, and (3) explore potential sex differences.

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Background: There are few updated studies on the prevalence and management of Alzheimer's disease (AD), which could be underdiagnosed or undertreated. The COVID-19 pandemic may have worsened the deficiencies in the diagnosis and treatment of these patients. Electronic medical records (EMR) offer an opportunity to assess the impact and management of medical processes and contingencies in the population.

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Introduction: This study employed an integrative system and causal inference approach to explore molecular signatures in blood and CSF, the amyloid/tau/neurodegeneration [AT(N)] framework, mild cognitive impairment (MCI) conversion to Alzheimer's disease (AD), and genetic risk for AD.

Methods: Using the European Medical Information Framework (EMIF)-AD cohort, we measured 696 proteins in cerebrospinal fluid (n = 371), 4001 proteins in plasma (n = 972), 611 metabolites in plasma (n = 696), and genotyped whole-blood (7,778,465 autosomal single nucleotide epolymorphisms, n = 936). We investigated associations: molecular modules to AT(N), module hubs with AD Polygenic Risk scores and APOE4 genotypes, molecular hubs to MCI conversion and probed for causality with AD using Mendelian randomization (MR).

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Background And Objective: Blood-based biomarkers represent a promising approach to help identify early Alzheimer's disease (AD). Previous research has applied traditional machine learning (ML) to analyze plasma omics data and search for potential biomarkers, but the most modern ML methods based on deep learning has however been scarcely explored. In the current study, we aim to harness the power of state-of-the-art deep learning neural networks (NNs) to identify plasma proteins that predict amyloid, tau, and neurodegeneration (AT[N]) pathologies in AD.

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  • - The study explores how rare genetic variations contribute to Alzheimer's disease (AD) related traits, even though this area has not received much focus before.
  • - Researchers conducted rare-variant association studies on genetic data from two different studies involving a total of 1,258 participants to identify any significant associations with Alzheimer's traits.
  • - They discovered a new mutation possibly linked to AD and found significant genetic contributions from specific genes (RBKS and OR7A10) to cognitive performance and brain changes, which could help in developing new treatments and diagnostic methods for AD.
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Introduction And Objectives: Brief cognitive tests (BCT) are used in primary care (PC) for the detection of cognitive impairment (CI). Still, there are little data on their diagnostic utility (DU) in a community setting. This work evaluates the DU at the population level of Fototest, T@M, AD8 questionnaire and MMSE.

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Widespread access to emerging information and communication technologies (ICT) allows its use for the screening of diseases in the general population. At the initiative of the Spanish Confederation of Associations of Families of People with Alzheimer's disease and other dementias (CEAFA), a website (http://www.problemasmemoria.

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Background: Suspected non-Alzheimer's disease pathophysiology (SNAP) is a biomarker concept that encompasses individuals with neuronal injury but without amyloidosis. We aim to investigate the pathophysiology of SNAP, defined as abnormal tau without amyloidosis, in individuals with mild cognitive impairment (MCI) by cerebrospinal fluid (CSF) proteomics.

Methods: Individuals were classified based on CSF amyloid beta (Aβ)1-42 (A) and phosphorylated tau (T), as cognitively normal A-T- (CN), MCI A-T+ (MCI-SNAP), and MCI A+T+ (MCI-AD).

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Introduction: It is important to understand which biological processes change with aging, and how such changes are associated with increased Alzheimer's disease (AD) risk. We studied how cerebrospinal fluid (CSF) proteomics changed with age and tested if associations depended on amyloid status, sex, and apolipoprotein E Ɛ4 genotype.

Methods: We included 277 cognitively intact individuals aged 46 to 89 years from Alzheimer's Disease Neuroimaging Initiative, European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery, and Metabolic Syndrome in Men.

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  • Alzheimer's disease (AD) is the most common neurodegenerative disorder, and its prevalence is rising, especially in older populations, prompting extensive genome-wide association studies (GWAS) focused on its genetic factors.* -
  • This study utilized data from 931 individuals to conduct 19 separate GWAS analyses, examining both brain imaging and cognitive performance traits over time, which showed significant genetic associations in specific genes linked to memory recall.* -
  • Results included notable genetic signals related to memory performance, including those on chromosomes 2 and 6, as well as a significant finding on the X chromosome, revealing new insights into the genetic underpinnings of cognitive function in AD.*
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Background: Increased total tau (t-tau) in cerebrospinal fluid (CSF) is a key characteristic of Alzheimer's disease (AD) and is considered to result from neurodegeneration. T-tau levels, however, can be increased in very early disease stages, when neurodegeneration is limited, and can be normal in advanced disease stages. This suggests that t-tau levels may be driven by other mechanisms as well.

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Alzheimer's disease (AD) biomarkers represent several neurodegenerative processes, such as synaptic dysfunction, neuronal inflammation and injury, as well as amyloid pathology. We performed an exome-wide rare variant analysis of six AD biomarkers (β-amyloid, total/phosphorylated tau, NfL, YKL-40, and Neurogranin) to discover genes associated with these markers. Genetic and biomarker information was available for 480 participants from two studies: EMIF-AD and ADNI.

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