Publications by authors named "Alex Sanchez Pla"

Biomedical data are generated and collected from various sources, including medical imaging, laboratory tests and genome sequencing. Sharing these data for research can help address unmet health needs, contribute to scientific breakthroughs, accelerate the development of more effective treatments and inform public health policy. Due to the potential sensitivity of such data, however, privacy concerns have led to policies that restrict data sharing.

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Hippocampal neurogenesis (HN) occurs throughout the life course and is important for memory and mood. Declining with age, HN plays a pivotal role in cognitive decline (CD), dementia, and late-life depression, such that altered HN could represent a neurobiological susceptibility to these conditions. Pertinently, dietary patterns (e.

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Biomarkers associated with dietary fibre intake, as complements to traditional dietary assessment tools, may improve the understanding of its role in human health. Our aim was to discover metabolite biomarkers related to dietary fibre intake and investigate their association with cardiometabolic risk factors. We used data and samples from the Danish Diet Cancer and Health Next Generation (DCH-NG) MAX-study, a one-year observational study with evaluations at baseline, six and 12 months ( = 624, 55% female, mean age: 43 years, 1353 observations).

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Article Synopsis
  • - The EOSC-Life consortium aims to enhance data reuse and sustainability in life sciences through collaborative efforts among 13 European research infrastructures, focusing on large-scale and computational research.
  • - Key barriers to sustainability identified include organisational, technical, financial, and legal/ethical challenges, which need to be addressed to improve resource management.
  • - The initiative advocates for adhering to FAIR principles and promotes data harmonisation and cross-disciplinary training, leading to better interoperability of tools and data in life science research.
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Scope: Evidence on the Mediterranean diet (MD) and age-related cognitive decline (CD) is still inconclusive partly due to self-reported dietary assessment. The aim of the current study is to develop an MD- metabolomic score (MDMS) and investigate its association with CD in community-dwelling older adults.

Methods And Results: This study includes participants from the Three-City Study from the Bordeaux (n = 418) and Dijon (n = 422) cohorts who are free of dementia at baseline.

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  • A study on plant-based diets in a Danish population examined how these diets relate to metabolic syndrome (MetS) and identified specific metabolites linked to dietary patterns.
  • The research involved 676 participants who provided dietary information and underwent health examinations, leading to the classification of diet quality using healthful (hPDI) and unhealthful (uPDI) indices.
  • Findings showed that higher hPDI scores correlated with a decreased risk of MetS, while higher uPDI scores increased the risk, with specific metabolites identified as key indicators of these associations.
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Background: Data for Spain from the Rome Foundation Global Epidemiology Study on the disorders of gut-brain interaction (DGBI) were used to assess the national and regional prevalence of all 22 DGBI, the percentage of respondents meeting diagnostic criteria for at least one DGBI, and the impact on burden of disease in our country.

Methods: Data were collected through an anonymous, nationwide, and secure Internet survey with multiple built-in quality-assurance techniques that included the Rome IV diagnostic questionnaire and an in-depth supplemental questionnaire.

Key Results: The survey was completed by 2072 adult Spanish participants (50.

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Anthocyanins (ACNs) are (poly)phenols associated with reduced cardiometabolic risk. Associations between dietary intake, microbial metabolism, and cardiometabolic health benefits of ACNs have not been fully characterized. Our aims were to study the association between ACN intake, considering its dietary sources, and plasma metabolites, and to relate them with cardiometabolic risk factors in an observational study.

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The gut microbiome is involved in nutrient metabolism and produces metabolites that, via the gut−brain axis, signal to the brain and influence cognition. Human studies have so far had limited success in identifying early metabolic alterations linked to cognitive aging, likely due to limitations in metabolite coverage or follow-ups. Older persons from the Three-City population-based cohort who had not been diagnosed with dementia at the time of blood sampling were included, and repeated measures of cognition over 12 subsequent years were collected.

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The aim of this study was to assess the effects of a mixture of four dietary fibers on obese rats. Four groups of male Wistar rats were fed with either standard chow (STD) or cafeteria diet (CAF) and were orally supplemented with either fibre mixture (2 g kg of body weight) (STD+F or CAF+F groups) or vehicle (STD+VH or CAF+VH groups). We studied a wide number of biometric, biochemical, transcriptomic, metagenomic and metabolomic variables and applied an integrative multivariate approach based on multiple factor analysis and Pearson's correlation analysis.

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Article Synopsis
  • There's a high demand for non-invasive methods to detect early responses to cancer treatments, particularly through measuring circulating tumor biomarkers.
  • Researchers focused on manganese superoxide dismutase (SOD2), a resilient protein, which was found to correlate with cancer cell death during chemotherapy in breast cancer.
  • Increased levels of SOD2 in the blood of patients responding to neoadjuvant therapy suggest that tracking this protein could enhance non-invasive monitoring and evaluation of cancer treatments over time.
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Background: Two years since the onset of the COVID-19 pandemic no predictive algorithm has been generally adopted for clinical management and in most algorithms the contribution of laboratory variables is limited.

Objectives: To measure the predictive performance of currently used clinical laboratory tests alone or combined with clinical variables and explore the predictive power of immunological tests adequate for clinical laboratories. Methods: Data from 2,600 COVID-19 patients of the first wave of the pandemic in the Barcelona area (exploratory cohort of 1,579, validation cohorts of 598 and 423 patients) including clinical parameters and laboratory tests were retrospectively collected.

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Environmental factors like diet have been linked to depression and/or relapse risk in later life. This could be partially driven by the food metabolome, which communicates with the brain via the circulatory system and interacts with hippocampal neurogenesis (HN), a form of brain plasticity implicated in depression aetiology. Despite the associations between HN, diet and depression, human data further substantiating this hypothesis are largely missing.

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Background: Diet is one of the most important modifiable lifestyle factors in human health and in chronic disease prevention. Thus, accurate dietary assessment is essential for reliably evaluating adherence to healthy habits.

Objectives: The aim of this study was to identify urinary metabolites that could serve as robust biomarkers of diet quality, as assessed through the Alternative Healthy Eating Index (AHEI-2010).

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Background: Radiation-induced late effects are a common cause of morbidity among cancer survivors. The biomarker with the best evidence as a predictive test of late reactions is the radiation-induced lymphocyte apoptosis (RILA) assay. We aimed to investigate the molecular basis underlying the distinctive RILA levels by using gene expression analysis in patients with and without late effects and in whom we had also first identified differences in RILA levels.

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Background: In integrative bioinformatic analyses, it is of great interest to stablish the equivalence between gene or (more in general) feature lists, up to a given level and in terms of their annotations in the Gene Ontology. The aim of this article is to present an equivalence test based on the proportion of GO terms which are declared as enriched in both lists simultaneously.

Results: On the basis of these data, the dissimilarity between gene lists is measured by means of the Sorensen-Dice index.

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Drug tolerant persister (DTP) cells enter into a reversible slow-cycling state after drug treatment. We performed proteomic characterization of the breast cancer (BC) DTP cell secretome after eribulin treatment. We showed that the growth differentiation factor 15 (GDF15) is a protein significantly over-secreted upon eribulin treatment.

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Article Synopsis
  • - The BCN02 trial explored the combination of therapeutic vaccination and romidepsin (a viral latency-reversing agent) in HIV-1-infected individuals, assessing viral rebound during a monitored antiretroviral pause to evaluate treatment efficacy.
  • - Researchers analyzed blood samples from 14 trial participants to determine differences between individuals who experienced early vs. late viral rebound, focusing on DNA methylation, chromatin states, and HIV-specific T-cell responses.
  • - Findings revealed distinct DNA methylation patterns that can help predict virus control after treatment, highlighting the potential of these epigenetic markers in developing effective HIV cure strategies.
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Background: Fatty acids play prominent roles in brain function as they participate in structural, metabolic and signaling processes. The homeostasis of fatty acids and related pathways is known to be impaired in cognitive decline and dementia, but the relationship between these metabolic disturbances and common risk factors, namely the ɛ4 allele of the apolipoprotein E (ApoE-ɛ4) gene and sex, remains elusive.

Methods: In order to investigate early alterations associated with cognitive decline in the fatty acid-related serum metabolome, we here applied targeted metabolomics analysis on a nested case-control study (N=368), part of a prospective population cohort on dementia.

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Scope: Diet is considered an important modulator of cognitive decline and dementia, but the available evidence is, however, still fragmented and often inconsistent.

Methods And Results: The article studies the long-term prospective Three-City Cohort, which consists of two separate nested case-control sample sets from different geographic regions (Bordeaux, n = 418; Dijon, n = 424). Cognitive decline is evaluated through five neuropsychological tests (Mini-Mental State Examination, Benton Visual Retention Test, Isaac's Set Test, Trail-Making Test part A, and Trail-Making Test part B).

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Motivation: The FOBI ontology can be of great help in nutrimetabolomic studies due to its wide variety of applications, including the possibility of performing different enrichment analyses. However, the programming skills required to query and explore it may limit its use by the scientific community.

Results: Here, we present the fobitools framework, comprised of an R/Bioconductor package and its complementary web interface.

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Introduction: Diet and exercise influence the risk of cognitive decline (CD) and dementia through the food metabolome and exercise-triggered endogenous factors, which use the blood as a vehicle to communicate with the brain. These factors might act in concert with hippocampal neurogenesis (HN) to shape CD and dementia.

Methods: Using an in vitro neurogenesis assay, we examined the effects of serum samples from a longitudinal cohort (n = 418) on proxy HN readouts and their association with future CD and dementia across a 12-year period.

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Article Synopsis
  • Metabolomics and proteomics encounter challenges in data mining, particularly in statistical analysis, which is essential for biological interpretation and biomarker discovery.
  • To aid in these analyses, bioinformatic tools have been developed, but many still rely on limited statistical methods and inflexible data sets.
  • POMAShiny is a user-friendly web tool that enhances the statistical analysis and visualization of metabolomics and proteomics data, integrating various methods for improved reproducibility and flexibility, and is available for free online.
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Stroke is a major cause of death and disability. A better comprehension of stroke pathophysiology is fundamental to reduce its dramatic outcome. The use of high-throughput unbiased omics approaches and the integration of these data might deepen the knowledge of stroke at the molecular level, depicting the interaction between different molecular units.

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Alterations in visceral adipose tissue (VAT) are closely linked to cardiometabolic abnormalities. The aim of this work is to define a metabolic signature in VAT of insulin resistance (IR) dependent on, and independent of, obesity. An untargeted UPLC-Q-Exactive metabolomic approach was carried out on the VAT of obese insulin-sensitive (IS) and insulin-resistant subjects ( = 11 and = 25, respectively) and nonobese IS and IR subjects ( = 25 and = 10, respectively).

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