Publications by authors named "Marialbert Acosta-Herrera"

Erdheim-Chester Disease (ECD) is a rare histiocytosis characterized by a wide spectrum of clinical manifestations. Although somatic mutations have been involved in ECD, its etiology remains poorly understood. This study aimed to identify novel molecular mechanisms involved in ECD through the first integrated methylome and transcriptome analysis.

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Objective: The common gain-of-function variant rs35705950, located in the promoter of gene, has been strongly associated with interstitial lung diseases (ILDs) of different aetiology, such as idiopathic pulmonary fibrosis (IPF) and rheumatoid arthritis-associated ILD (RA-ILD). In this study, we aimed to investigate the association of this variant and its nearby single nucleotide polymorphisms (SNPs) in the largest cohort of systemic sclerosis-associated ILD (SSc-ILD) to date.

Methods: Samples were collected from blood/saliva, followed by DNA extraction and genotyping using SNP arrays.

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Objectives: Systemic sclerosis (SSc) is a complex autoimmune disease with both known and unidentified genetic contributors. While genome-wide association studies (GWAS) have implicated multiple loci, many reside in noncoding regions. We aimed to identify novel protein-coding variants and pathogenic pathways using exome sequencing (ES) integrated with an Evolutionary Action-Machine Learning (EAML) framework, single-cell RNA sequencing (scRNA-seq), and expression quantitative trait locus (eQTL) analysis.

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Objectives: Coronavirus disease 2019 (COVID-19) and SSc share multiple similarities in their clinical manifestations, alterations in immune response and therapeutic options. These resemblances have also been identified in other immune-mediated inflammatory diseases where a common genetic component has been found. Thus, we decided to evaluate for the first time this shared genetic architecture with SSc.

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Article Synopsis
  • The study investigates how non-genetic factors, especially epigenetics like DNA methylation, contribute to the development of Systemic Sclerosis (SSc).
  • By analyzing DNA methylation data from 179 SSc patients and 241 healthy individuals, researchers identified 525 differentially methylated positions related to immune pathways, particularly those involving leukocyte adhesion.
  • The findings suggest that changes in DNA methylation impact gene expression and highlight the role of myeloid cells and specific transcription factors, opening up new avenues for potential clinical applications in treating SSc.
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Although previous studies have suggested a relationship between telomere shortening and systemic sclerosis (SSc), the association between these two traits remains poorly understood. The objective of this study was to assess the causal relationship between telomere length in leukocytes (LTL) and SSc using the two-sample Mendelian randomization approach, with the genome-wide association study data for both LTL and SSc. The results of inverse-variance weighted regression (OR = 0.

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Systemic sclerosis (SSc) is a complex disease that affects the connective tissue, causing fibrosis. SSc patients show altered immune cell composition and activation in the peripheral blood (PB). PB monocytes (Mos) are recruited into tissues where they differentiate into macrophages, which are directly involved in fibrosis.

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Article Synopsis
  • - The study investigates the genetic underpinnings of Erdheim-Chester disease (ECD), a rare condition characterized by abnormal immune cell activity, by conducting the first genome-wide association study to understand its inherited genetic factors.
  • - Researchers analyzed data from 255 ECD patients and 7,471 healthy individuals, identifying a significant genetic region (18q12.3) that could increase susceptibility to ECD, linked to the SETBP1 gene.
  • - The findings suggest that inherited genetic variants play a role in ECD development and point to new biological pathways that may contribute to the disease's progression.
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Obesity contributes to a chronic proinflammatory state, which is a known risk factor to develop immune-mediated diseases. However, its role in systemic sclerosis (SSc) remains to be elucidated. Therefore, we conducted a two-sample mendelian randomization (2SMR) study to analyze the effect of three body fat distribution parameters in SSc.

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Copy number (CN) polymorphisms of complement C4 play distinct roles in many conditions, including immune-mediated diseases. We investigated the association of C4 CN with systemic sclerosis (SSc) risk. Imputed total C4, C4A, C4B, and HERV-K CN were analyzed in 26,633 individuals and validated in an independent cohort.

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Objectives: rs76428106-C, a low frequency polymorphism that affects the splicing of the FLT3 gene, has recently been associated with several seropositive autoimmune diseases. Here, we aimed to evaluate the potential implication of rs76428106-C in the susceptibility to systemic sclerosis (SSc).

Methods: We analysed a total of 26 598 European ancestry individuals, 9063 SSc and 17 535 healthy controls, to test the association between FLT3 rs76428106-C and SSc and its different subphenotypes.

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Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended genome-wide association meta-analysis of a well-characterized cohort of 3255 COVID-19 patients with respiratory failure and 12 488 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.

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A recent genome-wide association study (GWAS) identified a locus in chromosome 11 associated with the chronic cardiac form of Chagas disease. Here we aimed to elucidate the potential functional mechanism underlying this genetic association by analyzing the correlation among single nucleotide polymorphisms (SNPs) and DNA methylation (DNAm) levels as cis methylation quantitative trait loci (cis-mQTL) within this region. A total of 2,611 SNPs were tested against 2,647 DNAm sites, in a subset of 37 chronic Chagas cardiomyopathy patients and 20 asymptomatic individuals from the GWAS.

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Chagas disease is an infection caused by the parasite Trypanosoma cruzi, endemic in Latino America. Leveraging the three-way admixture between Native American (AMR), European (EUR) and African (AFR) populations in Latin Americans, we aimed to better understand the genetic basis of Chagas disease by performing an admixture mapping study in a Colombian population. A two-stage study was conducted, and subjects were classified as seropositive and seronegative for T.

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Objective: The greatest genetic effect reported for systemic sclerosis (SSc) lies in the major histocompatibility complex (MHC) locus. Leveraging the largest SSc genome-wide association study, we aimed to fine-map this region to identify novel human leucocyte antigen (HLA) genetic variants associated with SSc susceptibility and its main clinical and serological subtypes.

Methods: 9095 patients with SSc and 17 584 controls genome-wide genotyped were used to impute and test single-nucleotide polymorphisms (SNPs) across the MHC, classical HLA alleles and their composite amino acid residues.

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Background: Chagas disease is an infectious disease caused by the parasite Trypanosoma cruzi and is endemic from Latin American countries. The goal of our study was to identify novel genetic loci associated with chronic Chagas cardiomyopathy development in Chagas disease patients from different Latin American populations.

Methods: We performed a cross-sectional, nested case-control study including 3 sample collections from Colombia, Argentina, and Bolivia.

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Article Synopsis
  • - The study aims to improve the classification and treatment of systemic autoimmune diseases by identifying molecular clusters, moving beyond traditional clinical diagnosis methods.
  • - Researchers analyzed blood samples from 955 patients and 267 healthy controls, discovering four distinct clusters: three linked to inflammatory responses and one related to low disease activity associated with healthy controls.
  • - The findings suggest that these molecular clusters are stable over time and can aid in understanding disease mechanisms and improving treatment strategies, potentially changing how systemic autoimmune diseases are approached in clinical settings.
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Objective: To identify the genetic variants that affect gene expression (expression quantitative trait loci [eQTLs]) in systemic sclerosis (SSc) and to investigate their role in the pathogenesis of the disease.

Methods: We performed an eQTL analysis using whole-blood sequencing data from 333 SSc patients and 524 controls and integrated them with SSc genome-wide association study (GWAS) data. We integrated our findings from expression modeling, differential expression analysis, and transcription factor binding site enrichment with key clinical features of SSc.

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  • The study aimed to determine key MHC susceptibility factors related to anti-carbamylated protein antibody-positive (anti-CarP+) rheumatoid arthritis (RA), focusing on patients who are anti-cyclic citrullinated peptide antibody negative (anti-CCP-).
  • Researchers analyzed genetic samples from 1,821 anti-CCP- RA patients and 6,821 controls from Spain, Sweden, and the Netherlands, looking at about 8,000 MHC biallelic variants using genetic analysis methods.
  • The findings revealed a significant association between the HLA-B*08 allele (and its variant Asp-9) and anti-CarP+/anti-CCP- RA, indicating that this specific genetic marker could differentiate
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Immune-mediated diseases (IMDs) are complex pathologies that are strongly influenced by environmental and genetic factors. Associations between genetic loci and susceptibility to these diseases have been widely studied, and hundreds of risk variants have emerged during the last two decades, with researchers observing a shared genetic pattern among them. Nevertheless, the pathological mechanism behind these associations remains a challenge that has just started to be understood thanks to functional genomic approaches.

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Article Synopsis
  • - The study investigated the effectiveness of Genomic Risk Scores (GRS) in predicting the risk of systemic sclerosis (SSc), using data from a large Genome-Wide Association Study that included over 9,000 SSc patients and 17,000 healthy controls.
  • - Researchers developed a GRS that comprised 33 specific genetic variations, demonstrating a reasonable ability to distinguish SSc patients from healthy individuals and other immune-related diseases, achieving an area under the curve (AUC) of 0.673, which improved to 0.787 when combined with other health factors.
  • - The findings suggest that GRS can be a valuable tool for early and accurate diagnosis of SSc, although it struggled to differentiate between specific
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Background: There is considerable variation in disease behavior among patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (Covid-19). Genomewide association analysis may allow for the identification of potential genetic factors involved in the development of Covid-19.

Methods: We conducted a genomewide association study involving 1980 patients with Covid-19 and severe disease (defined as respiratory failure) at seven hospitals in the Italian and Spanish epicenters of the SARS-CoV-2 pandemic in Europe.

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The aim of the present study was to analyze IL6 rs1800795 genetic variant in the susceptibility to Trypanosoma cruzi infection and in the development of chronic Chagas cardiomyopathy (CCC), in five independent Latin American cohorts. A total of 3,087 individuals from Latin American countries (Argentina, Bolivia, Peru, and two cohorts from Colombia) were studied. In all cohorts, patients were classified as seropositive for T.

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