Publications by authors named "Pablo Garcia-Gonzalez"

Traditional statistical approaches have advanced our understanding of the genetics of complex diseases, yet are limited to linear additive models. Here we applied machine learning (ML) to genome-wide data from 41,686 individuals in the largest European consortium on Alzheimer's disease (AD) to investigate the effectiveness of various ML algorithms in replicating known findings, discovering novel loci, and predicting individuals at risk. We utilised Gradient Boosting Machines (GBMs), biological pathway-informed Neural Networks (NNs), and Model-based Multifactor Dimensionality Reduction (MB-MDR) models.

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A polygenic score (PGS) for Alzheimer's disease (AD) was derived recently from data on genome-wide significant loci in European ancestry populations. We applied this PGS to populations in 17 European countries and observed a consistent association with the AD risk, age at onset and cerebrospinal fluid levels of AD biomarkers, independently of apolipoprotein E locus (APOE). This PGS was also associated with the AD risk in many other populations of diverse ancestries.

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Cerebrospinal fluid (CSF) amyloid beta (Aβ42), total tau (t-tau), and phosphorylated tau (p-tau181) are well accepted markers of Alzheimer's disease. We performed a GWAS meta-analysis including 18,948 individuals of European and 416 non-European ancestry. We identified 12 genome-wide significant loci across all three biomarkers, eight of them novel.

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Proteomic studies have been instrumental in identifying brain, cerebrospinal fluid and plasma proteins associated with Alzheimer's disease (AD). Here, we comprehensively examined 6,905 aptamers corresponding to 6,106 unique proteins in plasma in more than 3,300 well-characterized individuals to identify new proteins, pathways and predictive models for AD. We identified 416 proteins (294 new) associated with clinical AD status and validated the findings in two external datasets representing more than 7,000 samples.

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Progressive supranuclear palsy (PSP) is a rare 4-repeat tauopathy that causes behavioural, movement and cognitive abnormalities. We genotyped all available clinical and histopathological PSP cases in Spain and Portugal (N = 522), and conducted the largest PSP GWAS of the Iberian population to date. Genetic burden analysis revealed reduced diagnostic specificity in clinically diagnosed atypical PSP cases-when applying the 2017 MDS criteria-compared to Richardson's syndrome cases.

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Background: The apolipoprotein E () gene is a key genetic determinant of Alzheimer's disease (AD) risk, with the ε4 allele significantly increasing susceptibility. While the pathogenic effects of the ε4 allele are well established, the functional impact of distinct haplotype configurations within the broader ε3 and ε4 backgrounds remains poorly understood. This study investigates the role of intragenic sub haplotypes in modulating expression and their potential influence on AD progression.

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Alzheimer disease (AD) is a complex neurodegenerative disorder. Proteomic studies have been instrumental in identifying AD-related proteins present in the brain, cerebrospinal fluid, and plasma. This study comprehensively examined 6,905 plasma proteins in more than 3,300 well-characterized individuals to identify new proteins, pathways, and predictive model for AD.

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Alzheimer's disease (AD) is a complex disease with a strong genetic component, yet many genetic risk factors remain unknown. We combined genome-wide association studies (GWAS) on amyloid endophenotypes measured in cerebrospinal fluid (CSF) and positron emission tomography (PET) as surrogates of amyloid pathology, which may provide insights into the underlying biology of the disease. We performed a meta-GWAS of CSF Aβ42 and PET measures combining six independent cohorts (n = 2,076).

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Parkinson's disease genetic embraces genetic and non-genetic factors. It has been suggested a link between CAG repeat number in the and genes and different neurodegenerative diseases. Several genetic factors involved in Parkinson's disease development are indeed associated with cancer pathways.

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High-throughput proteomic platforms are crucial to identify novel Alzheimer's disease (AD) biomarkers and pathways. In this study, we evaluated the reproducibility and reliability of aptamer-based (SomaScan 7k) and antibody-based (Olink Explore 3k) proteomic platforms in cerebrospinal fluid (CSF) samples from the Ace Alzheimer Center Barcelona real-world cohort. Intra- and inter-platform reproducibility were evaluated through correlations between two independent SomaScan assays analyzing the same samples, and between SomaScan and Olink results.

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Despite the central role attributed to neuroinflammation in the etiology and pathobiology of Alzheimer's disease (AD), the direct link between levels of inflammatory mediators in blood and cerebrospinal fluid (CSF) compartments, as well as their potential implications for AD diagnosis and progression, remains inconclusive. Moreover, there is debate on whether inflammation has a protective or detrimental effect on disease onset and progression. Indeed, distinct immunological mechanisms may govern protective and damaging effects at early and late stages, respectively.

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Article Synopsis
  • A study was conducted to investigate the X-chromosome's role in Alzheimer's Disease (AD), which had been overlooked in previous genome-wide association studies.
  • The research included 115,841 AD cases and 613,671 controls, considering different X-chromosome inactivation (XCI) states in females.
  • While no strong genetic risk factors for AD were found on the X-chromosome, seven significant loci were identified, suggesting areas for future research.
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  • A study was conducted to explore the link between insulin resistance (IR) and the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia in a group of 400 subjects.
  • Researchers identified a specific metabolic signature with 18 metabolites that are associated with IR and showed that this signature increases the risk of developing AD dementia.
  • The findings suggest that these metabolic pathways could help explain how IR contributes to the development of AD dementia, enhancing our understanding of this relationship.
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Background: Optical coherence tomography (OCT) enables high-resolution imaging of ocular structures in health and disease. Choroid thickness (CT) is a key vascular retinal parameter that can be assessed by OCT and might be relevant in the evaluation of the vascular component of cognitive decline. We aimed to investigate CT changes in a large cohort of individuals cognitive unimpaired (CU), with mild cognitive impairment due to Alzheimer's (MCI-AD), mild cognitive impairment due to cerebrovascular disease (MCI-Va), Alzheimer's disease dementia (ADD), and vascular dementia (VaD).

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  • A genome-wide association study was conducted to analyze cerebrospinal fluid (CSF) and brain metabolite levels, revealing 205 associations for CSF metabolites and 32 for brain metabolites, with a significant portion being new signals.
  • The research found that most new signals for CSF (96.9%) and brain metabolites (71.4%) were related to previously studied metabolites in blood and urine.
  • The study identified 71 metabolite-trait associations linked to various neurological and psychiatric conditions, enhancing understanding of how brain metabolism may influence human traits and diseases.
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Background: The identification of patients with an elevated risk of developing Alzheimer's disease (AD) dementia and eligible for the disease-modifying treatments (DMTs) in the earliest stages is one of the greatest challenges in the clinical practice. Plasma biomarkers has the potential to predict these issues, but further research is still needed to translate them to clinical practice. Here we evaluated the clinical applicability of plasma pTau181 as a predictive marker of AD pathology in a large real-world cohort of a memory clinic.

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Background: Alzheimer's disease (AD) has a high heritable component characteristic of complex diseases, yet many of the genetic risk factors remain unknown. We combined genome-wide association studies (GWAS) on amyloid endophenotypes measured in cerebrospinal fluid (CSF) and positron emission tomography (PET) as surrogates of amyloid pathology, which may be helpful to understand the underlying biology of the disease.

Methods: We performed a meta-analysis of GWAS of CSF Aβ42 and PET measures combining six independent cohorts (n=2,076).

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  • The study analyzed serum proteins in 5,127 older Icelandic adults to gain insights into the molecular processes of late-onset Alzheimer's disease (LOAD) over nearly 13 years.
  • Researchers identified 303 proteins linked to incident LOAD, with over 40% showing independent associations from the APOE-ε4 gene variant, indicating involvement in neuronal functions.
  • Four proteins were found to be downregulated by APOE-ε4 but upregulated in LOAD, suggesting they may reflect a biological response to the onset of the disease, highlighting dysregulated processes early in LOAD development.
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  • Cerebral small vessel disease (cSVD) is a major contributor to stroke and dementia, and currently lacks specific treatments, prompting a study using Mendelian randomization to identify protein associations.
  • The research combined cerebrospinal fluid (CSF) and plasma data with genetic studies to identify 49 proteins linked to cSVD, highlighting 16 that appeared in both fluids and showing connections to immune response and extracellular matrix pathways.
  • Notably, many identified proteins were associated with stroke and dementia, with some already having known drug targets, paving the way for potential new biomarkers and therapies for cSVD.
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  • * A study analyzed 4,685 sporadic FTD cases and found significant genetic variants at the MAPT and APOE loci that increase the risk for the disease, indicating potential genetic overlap with other neurodegenerative diseases.
  • * The genetic risk factors appear to vary by population, with MAPT and APOE associations predominantly found in Central/Nordic and Mediterranean Europeans, suggesting a need for further research into these population-specific features for better understanding of sporadic FTD.
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  • - The study investigates the genetic factors behind neuropsychiatric symptoms common in Alzheimer's disease, specifically psychosis (AD+P) and affective disturbances like depression and anxiety (AD+A).
  • - Using a large sample of nearly 10,000 Alzheimer's participants, researchers found genetic correlations between AD+P and AD+A, but these two conditions also showed distinct genetic profiles when compared to psychiatric disorders in non-AD individuals.
  • - The findings highlight the need for integrating genetic data to develop better treatments, as both psychosis and affective symptoms in Alzheimer's have shared and differing genetic associations.
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  • - Microglial dysfunction is linked to Alzheimer's disease (AD), with a focus on a variant affecting the SIRPβ1 receptor that regulates the clearance of amyloid-β (Aβ).
  • - The study found that a specific insertion in the SIRPβ1 gene alters protein function, increasing the risk of AD and affecting cognitive decline rates in patients with mild cognitive impairment.
  • - Results suggest that this SIRPβ1 variant could influence microglial responses to Aβ and may serve as a potential target for treatment strategies that involve the TREM2-TYROBP pathway.
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Previous studies have suggested a relationship between the number of CAG triplet repeats in the HTT gene and neurodegenerative diseases not related to Huntington's disease (HD). This study seeks to investigate whether the number of CAG repeats of HTT is associated with the risk of developing certain tauopathies and its influence as a modulator of the clinical and neuropathological phenotype. Additionally, it aims to evaluate the potential of polyglutamine staining as a neuropathological screening.

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Introduction: Optical coherence tomography angiography (OCT-A) is a novel tool that allows the detection of retinal vascular changes. We investigated the association of macular vessel density (VD) in the superficial plexus assessed by OCT-A with measures of cerebrovascular pathology and atrophy quantified by brain magnetic resonance imaging (MRI) in non-demented individuals.

Methods: Clinical, demographical, OCT-A, and brain MRI data from non-demented research participants were included.

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