12 research outputs found

    Criteria for specimen collection in special situations of Newborn Screening. Review

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    La espectrometría de masas en tándem (MS-MS) ha permitido ampliar el alcance del cribado neonatal. Eso hace más complicado determinar el momento más adecuado para la toma de muestra, sobre todo en recién nacidos prematuros y/o bajo peso y/o ingresados en unidades neonatales. El objetivo del presente estudio ha sido revisar las normas de toma de muestra de los distintos programas en estas situaciones, a nivel nacional e internacional. Se obtienen los datos a través de páginas web de salud pública, de plataformas de búsqueda o por contacto con los centros. Existe gran disparidad de criterios para la toma de una nueva muestra, incluso dentro de un mismo país. La limitación de información disponible, hizo imposible obtener resultados de muchos países, en particular de África, Asia o Latinoamérica. A pesar de que cada vez más estados se acogen a las recomendaciones del Clinical and Laboratory Standards Institute u otros organismos internacionales, el aumento del coste que implica, hace muy difícil conseguir la estandarización.The most significant breakthrough in the newborn screening (NBS) programs was the introduction of the tandem mass spectrometry (MS-MS) to the laboratory, which makes it possible to detect multiple disorders. However, it is difficult to choose the ideal time for the specimen collection, particularly in preterm, low birth weight, and sick newborns. The aim of this study was to revise the protocols, in national and international programs for specimen collection in these newborns. Data were collected from web pages of public health, internet searches, and contact with the laboratories. The results showed a great disparity in criteria for a new specimen collection, as well as among different centres within a country. It has been difficult to obtain this information from many countries in Africa, Asia, and Latin America. Although an increasing number of laboratories follow the recommendations of the Clinical and Laboratory Standards Institute or other international guidelines, the increased cost involved makes standardisation difficult.info:eu-repo/semantics/publishedVersio

    Criteria for specimen collection in special situations of Newborn Screening. Review

    Get PDF
    La espectrometría de masas en tándem (MS-MS) ha permitido ampliar el alcance del cribado neonatal. Eso hace más complicado determinar el momento más adecuado para la toma de muestra, sobre todo en recién nacidos prematuros y/o bajo peso y/o ingresados en unidades neonatales. El objetivo del presente estudio ha sido revisar las normas de toma de muestra de los distintos programas en estas situaciones, a nivel nacional e internacional. Se obtienen los datos a través de páginas web de salud pública, de plataformas de búsqueda o por contacto con los centros. Existe gran disparidad de criterios para la toma de una nueva muestra, incluso dentro de un mismo país. La limitación de información disponible, hizo imposible obtener resultados de muchos países, en particular de África, Asia o Latinoamérica. A pesar de que cada vez más estados se acogen a las recomendaciones del Clinical and Laboratory Standards Institute u otros organismos internacionales, el aumento del coste que implica, hace muy difícil conseguir la estandarización.The most significant breakthrough in the newborn screening (NBS) programs was the introduction of the tandem mass spectrometry (MS-MS) to the laboratory, which makes it possible to detect multiple disorders. However, it is difficult to choose the ideal time for the specimen collection, particularly in preterm, low birth weight, and sick newborns. The aim of this study was to revise the protocols, in national and international programs for specimen collection in these newborns. Data were collected from web pages of public health, internet searches, and contact with the laboratories. The results showed a great disparity in criteria for a new specimen collection, as well as among different centres within a country. It has been difficult to obtain this information from many countries in Africa, Asia, and Latin America. Although an increasing number of laboratories follow the recommendations of the Clinical and Laboratory Standards Institute or other international guidelines, the increased cost involved makes standardisation difficult.info:eu-repo/semantics/publishedVersio

    A genome-wide association study follow-up suggests a possible role for PPARG in systemic sclerosis susceptibility

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    Introduction: A recent genome-wide association study (GWAS) comprising a French cohort of systemic sclerosis (SSc) reported several non-HLA single-nucleotide polymorphisms (SNPs) showing a nominal association in the discovery phase. We aimed to identify previously overlooked susceptibility variants by using a follow-up strategy.<p></p> Methods: Sixty-six non-HLA SNPs showing a P value <10-4 in the discovery phase of the French SSc GWAS were analyzed in the first step of this study, performing a meta-analysis that combined data from the two published SSc GWASs. A total of 2,921 SSc patients and 6,963 healthy controls were included in this first phase. Two SNPs, PPARG rs310746 and CHRNA9 rs6832151, were selected for genotyping in the replication cohort (1,068 SSc patients and 6,762 healthy controls) based on the results of the first step. Genotyping was performed by using TaqMan SNP genotyping assays. Results: We observed nominal associations for both PPARG rs310746 (PMH = 1.90 × 10-6, OR, 1.28) and CHRNA9 rs6832151 (PMH = 4.30 × 10-6, OR, 1.17) genetic variants with SSc in the first step of our study. In the replication phase, we observed a trend of association for PPARG rs310746 (P value = 0.066; OR, 1.17). The combined overall Mantel-Haenszel meta-analysis of all the cohorts included in the present study revealed that PPARG rs310746 remained associated with SSc with a nominal non-genome-wide significant P value (PMH = 5.00 × 10-7; OR, 1.25). No evidence of association was observed for CHRNA9 rs6832151 either in the replication phase or in the overall pooled analysis.<p></p> Conclusion: Our results suggest a role of PPARG gene in the development of SSc

    Cross-disease Meta-analysis of Genome-wide Association Studies for Systemic Sclerosis and Rheumatoid Arthritis Reveals IRF4 as a New Common Susceptibility Locus

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    Objectives: Systemic sclerosis (SSc) and rheumatoid arthritis (RA) are autoimmune diseases that share clinical and immunological characteristics. To date, several shared SSc- RA loci have been identified independently. In this study, we aimed to systematically search for new common SSc-RA loci through an inter-disease meta-GWAS strategy. Methods: We performed a meta-analysis combining GWAS datasets of SSc and RA using a strategy that allowed identification of loci with both same-direction and opposingdirection allelic effects. The top single-nucleotide polymorphisms (SNPs) were followed-up in independent SSc and RA case-control cohorts. This allowed us to increase the sample size to a total of 8,830 SSc patients, 16,870 RA patients and 43,393 controls. Results: The cross-disease meta-analysis of the GWAS datasets identified several loci with nominal association signals (P-value < 5 x 10-6), which also showed evidence of association in the disease-specific GWAS scan. These loci included several genomic regions not previously reported as shared loci, besides risk factors associated with both diseases in previous studies. The follow-up of the putatively new SSc-RA loci identified IRF4 as a shared risk factor for these two diseases (Pcombined = 3.29 x 10-12). In addition, the analysis of the biological relevance of the known SSc-RA shared loci pointed to the type I interferon and the interleukin 12 signaling pathways as the main common etiopathogenic factors. Conclusions: Our study has identified a novel shared locus, IRF4, for SSc and RA and highlighted the usefulness of cross-disease GWAS meta-analysis in the identification of common risk loci

    Cognitive Processes Underlying Verbal Fluency in Multiple Sclerosis

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    Background: Verbal fluency (VF) has been associated with several cognitive functions, but the cognitive processes underlying verbal fluency deficits in Multiple Sclerosis (MS) are controversial. Further knowledge about VF could be useful in clinical practice, because these tasks are brief, applicable, and reliable in MS patients. In this study, we aimed to evaluate the cognitive processes related to VF and to develop machine-learning algorithms to predict those patients with cognitive deficits using only VF-derived scores. Methods: Two hundred participants with MS were enrolled and examined using a comprehensive neuropsychological battery, including semantic and phonemic fluencies. Automatic linear modeling was used to identify the neuropsychological test predictors of VF scores. Furthermore, machine-learning algorithms (support vector machines, random forest) were developed to predict those patients with cognitive deficits using only VF-derived scores. Results: Neuropsychological tests associated with attention-executive functioning, memory, and language were the main predictors of the different fluency scores. However, the importance of memory was greater in semantic fluency and clustering scores, and executive functioning in phonemic fluency and switching. Machine learning algorithms predicted general cognitive impairment and executive dysfunction, with F1-scores over 67–71%. Conclusions: VF was influenced by many other cognitive processes, mainly including attention-executive functioning, episodic memory, and language. Semantic fluency and clustering were more explained by memory function, while phonemic fluency and switching were more related to executive functioning. Our study supports that the multiple cognitive components underlying VF tasks in MS could serve for screening purposes and the detection of executive dysfunction.Depto. de Psicobiología y Metodología en Ciencias del ComportamientoFac. de PsicologíaTRUEpu

    Influence of the IL6 Gene in Susceptibility to Systemic Sclerosis

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    Contains fulltext : 108354.pdf (publisher's version ) (Closed access)OBJECTIVE: Systemic sclerosis (SSc) is a genetically complex autoimmune disease; the genetic component has not been fully defined. Interleukin 6 (IL-6) plays a crucial role in immunity and fibrosis, both key aspects of SSc. We investigated the influence of IL6 gene in the susceptibility and phenotype expression of SSc. METHODS: We performed a large metaanalysis including a total of 2749 cases and 3189 controls from 6 white populations (Germany, The Netherlands, Norway, Spain, Sweden, and United Kingdom). Three IL6 single-nucleotide polymorphisms (SNP; rs2069827, rs1800795, and rs2069840) were selected by SNP tagging and genotyped using TaqMan((R)) allele discrimination technology. RESULTS: Individual SNP metaanalysis showed no evidence of association of the 3 IL6 genetic variants with the global disease. Phenotype analyses revealed a significant association between the minor allele of rs2069840 and the limited cutaneous SSc clinical form (Bonferroni p = 0.036, OR 1.14, 95% CI 1.04-1.25). A trend of association between the minor allele of the rs1800795 and the diffuse cutaneous SSc clinical form was also evident (Bonferroni p = 0.072, OR 0.86, 95% CI 0.77-0.96). In the IL6 allelic combination analyses, the GGC allelic combination rs2069827-rs1800795-rs2069840 showed an association with overall SSc (Bonferroni p = 0.016, OR 1.13, 95% CI 1.04-1.23). CONCLUSION: Our results suggest that the IL6 gene may influence the development of SSc and its progression

    Influence of TYK2 in systemic sclerosis susceptibility: a new locus in the IL-12 pathway.

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    Brief Report: IRF4 Newly Identified as a Common Susceptibility Locus for Systemic Sclerosis and Rheumatoid Arthritis in a Cross-Disease Meta-Analysis of Genome-Wide Association Studies

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    Objective: Systemic sclerosis (SSc) and rheumatoid arthritis (RA) are autoimmune diseases that have similar clinical and immunologic characteristics. To date, several shared SSc–RA genetic loci have been identified independently. The aim of the current study was to systematically search for new common SSc–RA loci through an interdisease meta–genome-wide association (meta-GWAS) strategy. Methods: The study was designed as a meta-analysis combining GWAS data sets of patients with SSc and patients with RA, using a strategy that allowed identification of loci with both same-direction and opposite-direction allelic effects. The top single-nucleotide polymorphisms were followed up in independent SSc and RA case–control cohorts. This allowed an increase in the sample size to a total of 8,830 patients with SSc, 16,870 patients with RA, and 43,393 healthy controls. Results: This cross-disease meta-analysis of the GWAS data sets identified several loci with nominal association signals (P <5 × 10−6) that also showed evidence of association in the disease-specific GWAS scans. These loci included several genomic regions not previously reported as shared loci, as well as several risk factors that were previously found to be associated with both diseases. Follow-up analyses of the putatively new SSc–RA loci identified IRF4 as a shared risk factor for these 2 diseases (Pcombined = 3.29 × 10−12). Analysis of the biologic relevance of the known SSc–RA shared loci identified the type I interferon and interleukin-12 signaling pathways as the main common etiologic factors. Conclusion: This study identified a novel shared locus, IRF4, for the risk of SSc and RA, and highlighted the usefulness of a cross-disease GWAS meta-analysis strategy in the identification of common risk loci
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