26 research outputs found

    Mutational spectrum of GNAL, THAP1 and TOR1A genes in isolated dystonia: study in a population from Spain and systematic literature review

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    [Objective] We aimed to investigate the prevalence of TOR1A, GNAL and THAP1 variants as the cause of dystonia in a cohort of Spanish patients with isolated dystonia and in the literature.[Methods] A population of 2028 subjects (including 1053 patients with different subtypes of isolated dystonia and 975 healthy controls) from southern and central Spain was included. The genes TOR1A, THAP1 and GNAL were screened using a combination of high-resolution melting analysis and direct DNA resequencing. In addition, an extensive literature search to identify original articles (published before 10 August 2020) reporting mutations in TOR1A, THAP1 or GNAL associated to dystonia was performed.[Results] Pathogenic or likely pathogenic variants in TOR1A, THAP1 and GNAL were identified in 0.48%, 0.57% and 0.29% of our patients, respectively. Five patients carried the variation p.Glu303del in TOR1A. A very rare variant in GNAL (p.Ser238Asn) was found as a putative risk factor for dystonia. In the literature, variations in TOR1A, THAP1 and GNAL accounted for about 6%, 1.8% and 1.1% of published dystonia patients, respectively.[Conclusions] There is a different genetic contribution to dystonia of these three genes in our patients (about 1.3% of patients) and in the literature (about 3.6% of patients), probably due the high proportion of adult-onset cases in our cohort. As regards age at onset, site of dystonia onset, and final distribution, in our population there is a clear differentiation between DYT-TOR1A and DYT-GNAL, with DYT-THAP1 likely to be an intermediate phenotype.This work was supported by the Carlos III Health Institute-European Regional Development Fund (ISCIII-FEDER) [PI14/01823, PI16/01575, PI18/01898, PI19/01576], the Andalusian Regional Ministry of Economics, Innovation, Science and Employment [CVI-02526, CTS-7685], the Andalusian Regional Ministry of Health and Welfare [PI-0741-2010, PI-0471-2013, PE-0210-2018, PI-0459-2018, PE-0186-2019], and the Alicia Koplowitz and Mutua Madrileña Foundations. Pilar Gómez-Garre was supported by the "Miguel Servet" program [MSII14/00018] (from ISCIII-FEDER) and “Nicolás Monardes” program [C-0048-2017] (from the Andalusian Regional Ministry of Health). Silvia Jesús was supported by the "Juan Rodés" program [B-0007-2019] and Daniel Macías-García by the “Río Hortega” program [CM18/00142] (both from ISCIII-FEDER). María Teresa Periñán was supported by the Spanish Ministry of Education [FPU16/05061]. Cristina Tejera was supported by VPPI-US from the University of Seville.Peer reviewe

    Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson's disease patients

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    Parkinson's disease (PD) is the neurological disorder showing the greatest rise in prevalence from 1990 to 2016. Despite clinical definition criteria and a tremendous effort to develop objective biomarkers, precise diagnosis of PD is still unavailable at early stage. In recent years, an increasing number of studies have used omic methods to unveil the molecular basis of PD, providing a detailed characterization of potentially pathological alterations in various biological specimens. Metabolomics could provide useful insights to deepen our knowledge of PD aetiopathogenesis, to identify signatures that distinguish groups of patients and uncover responsive biomarkers of PD that may be significant in early detection and in tracking the disease progression and drug treatment efficacy. The present work is the first large metabolomic study based on nuclear magnetic resonance (NMR) with an independent validation cohort aiming at the serum characterization of de novo drug-naive PD patients. Here, NMR is applied to sera from large training and independent validation cohorts of German subjects. Multivariate and univariate approaches are used to infer metabolic differences that characterize the metabolite and the lipoprotein profiles of newly diagnosed de novo drug-naive PD patients also in relation to the biological sex of the subjects in the study, evidencing a more pronounced fingerprint of the pathology in male patients. The presence of a validation cohort allowed us to confirm altered levels of acetone and cholesterol in male PD patients. By comparing the metabolites and lipoproteins levels among de novo drug-naive PD patients, age- and sex-matched healthy controls, and a group of advanced PD patients, we detected several descriptors of stronger oxidative stress

    Regulatory sites for splicing in human basal ganglia are enriched for disease-relevant information

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    Genome-wide association studies have generated an increasing number of common genetic variants associated with neurological and psychiatric disease risk. An improved understanding of the genetic control of gene expression in human brain is vital considering this is the likely modus operandum for many causal variants. However, human brain sampling complexities limit the explanatory power of brain-related expression quantitative trait loci (eQTL) and allele-specific expression (ASE) signals. We address this, using paired genomic and transcriptomic data from putamen and substantia nigra from 117 human brains, interrogating regulation at different RNA processing stages and uncovering novel transcripts. We identify disease-relevant regulatory loci, find that splicing eQTLs are enriched for regulatory information of neuron-specific genes, that ASEs provide cell-specific regulatory information with evidence for cellular specificity, and that incomplete annotation of the brain transcriptome limits interpretation of risk loci for neuropsychiatric disease. This resource of regulatory data is accessible through our web server, http://braineacv2.inf.um.es/

    Heterogeneity of prodromal Parkinson symptoms in siblings of Parkinson disease patients

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    Abstract: A prodromal phase of Parkinson’s disease (PD) may precede motor manifestations by decades. PD patients’ siblings are at higher risk for PD, but the prevalence and distribution of prodromal symptoms are unknown. The study objectives were (1) to assess motor and non-motor features estimating prodromal PD probability in PD siblings recruited within the European PROPAG-AGEING project; (2) to compare motor and non-motor symptoms to the well-established DeNoPa cohort. 340 PD siblings from three sites (Bologna, Seville, Kassel/Goettingen) underwent clinical and neurological evaluations of PD markers. The German part of the cohort was compared with German de novo PD patients (dnPDs) and healthy controls (CTRs) from DeNoPa. Fifteen (4.4%) siblings presented with subtle signs of motor impairment, with MDS-UPDRS-III scores not clinically different from CTRs. Symptoms of orthostatic hypotension were present in 47 siblings (13.8%), no different to CTRs (p = 0.072). No differences were found for olfaction and overall cognition; German-siblings performed worse than CTRs in visuospatial-executive and language tasks. 3/147 siblings had video-polysomnography-confirmed REM sleep behavior disorder (RBD), none was positive on the RBD Screening Questionnaire. 173/300 siblings had <1% probability of having prodromal PD; 100 between 1 and 10%, 26 siblings between 10 and 80%, one fulfilled the criteria for prodromal PD. According to the current analysis, we cannot confirm the increased risk of PD siblings for prodromal PD. Siblings showed a heterogeneous distribution of prodromal PD markers and probability. Additional parameters, including strong disease markers, should be investigated to verify if these results depend on validity and sensitivity of prodromal PD criteria, or if siblings’ risk is not elevated

    Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

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    Background Genome-wide association studies (GWAS) in Parkinson's disease have increased the scope of biological knowledge about the disease over the past decade. We aimed to use the largest aggregate of GWAS data to identify novel risk loci and gain further insight into the causes of Parkinson's disease. Methods We did a meta-analysis of 17 datasets from Parkinson's disease GWAS available from European ancestry samples to nominate novel loci for disease risk. These datasets incorporated all available data. We then used these data to estimate heritable risk and develop predictive models of this heritability. We also used large gene expression and methylation resources to examine possible functional consequences as well as tissue, cell type, and biological pathway enrichments for the identified risk factors. Additionally, we examined shared genetic risk between Parkinson's disease and other phenotypes of interest via genetic correlations followed by Mendelian randomisation. Findings Between Oct 1, 2017, and Aug 9, 2018, we analysed 7·8 million single nucleotide polymorphisms in 37 688 cases, 18 618 UK Biobank proxy-cases (ie, individuals who do not have Parkinson's disease but have a first degree relative that does), and 1·4 million controls. We identified 90 independent genome-wide significant risk signals across 78 genomic regions, including 38 novel independent risk signals in 37 loci. These 90 variants explained 16–36% of the heritable risk of Parkinson's disease depending on prevalence. Integrating methylation and expression data within a Mendelian randomisation framework identified putatively associated genes at 70 risk signals underlying GWAS loci for follow-up functional studies. Tissue-specific expression enrichment analyses suggested Parkinson's disease loci were heavily brain-enriched, with specific neuronal cell types being implicated from single cell data. We found significant genetic correlations with brain volumes (false discovery rate-adjusted p=0·0035 for intracranial volume, p=0·024 for putamen volume), smoking status (p=0·024), and educational attainment (p=0·038). Mendelian randomisation between cognitive performance and Parkinson's disease risk showed a robust association (p=8·00 × 10−7). Interpretation These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, to the best of our knowledge, by revealing many additional Parkinson's disease risk loci, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified. These associations derived from European ancestry datasets will need to be followed-up with more diverse data. Funding The National Institute on Aging at the National Institutes of Health (USA), The Michael J Fox Foundation, and The Parkinson's Foundation (see appendix for full list of funding sources)

    Estudio de las bases genéticas implicadas en la enfermedad de Parkinson

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    La enfermedad de Parkinson (EP) es la segunda enfermedad neurodegenerativa más común caracterizada por la degeneración de neuronas dopaminérgicas en la sustancia negra. Se trata de una enfermedad multifactorial causada por la interacción de factores genéticos y tóxico-metabólicos. Se han identificado hasta 11 genes responsables de formas monogénicas de la enfermedad, tanto dominantes (SNCA, LRRK2 y VPS35) como recesivos (PARK2, PINK1, DJ-1, ATP13A2, PLA2G6, FBXO7 y DNAJC6). Sin embargo, solo un pequeño porcentaje de los casos de EP son debido a una única mutación causativa. La mayoría se deben a la interacción de variaciones genéticas que confieren un riesgo bajo-moderado. Hasta la fecha, se han identificado varios loci y genes de riesgo (GBA el mejor conocido) asociados a la EP. A pesar de todos estos estudios, la mayor parte de la heredabilidad de la enfermedad es todavía desconocida. Se espera que la tecnología de última generación de secuenciación masiva y los estudios de asociación de genoma completo, junto a la aplicación de las técnicas genéticas tradicionales, contribuyan a ampliar el conocimiento sobre la etiología de la EP. Además, es necesario la replicación de los hallazgos encontrados en cohortes independientes para comprobar su robustez. Debido al aumento de la prevalencia de la enfermedad, en una población cada vez más envejecida, al gasto económico y social que conlleva, y a la falta de terapias que frenen el proceso degenerativo, resulta fundamental conocer en profundidad las bases moleculares involucradas en el desarrollo de la enfermedad. La hipótesis de esta tesis es que a través del estudio de las bases genéticas de la EP se contribuirá a ampliar el conocimiento sobre su etipatogenia. Para ello, nuestro primer objetivo ha sido estudiar la implicación en la fisiopatogenia de la EP de genes causativos de formas monogénicas de la enfermedad. Con este objetivo se han analizado mediante secuenciación masiva 17 genes relacionados con la EP, causativos y de riesgo, confirmados y no confirmados (SNCA, LRRK2, PINK1, PARK2, ATP13A2, FBXO7, VPS35, DJ1, PLA2G6, EIF4G1, DNAJC6, HTRA2, SMPD1, SNYJ1, UCHL1, GIGYF2 y GBA). Para ello se ha reclutado una cohorte de 117 pacientes de EP de inicio temprano de la Comunidad de Madrid. Se han identificado variaciones con potencial efecto deletéreo en 29,06% de los pacientes estudiados, concentrado los genes PARK2, LRRK2, PINK1 y GBA el 23,08% de los casos. El gen en el que se localizaron más variaciones fue PARK2, siendo la variación p.N52fs la más frecuente. LRRK2 también parecía tener un papel más relevante que el que se pensaba en la población estudiada, debido a su alta frecuencia (presente en el 6,84% de los pacientes). Además, se ha evidenciado la co-ocurrencia de variaciones en los genes ATP13A2 y PARK2 y entre LRRK2 y GIGYF2, sugiriendo efectos aditivos en ambos casos. Con este objetivo también se estudió la implicación en la fisiopatogenia de la EP de los genes CHCHD2 y TMEM230, dos nuevos genes propuestos causativos de EP, en una cohorte de pacientes de EP del Hospital Universitario Virgen del Rocío y controles sanos. Se han identificado 4 variaciones no exónicas en el gen CHCHD2, pero ninguna parece ser causativa o factor de riesgo para la EP. En el gen TMEM230 se han identificado 13 variaciones genéticas, pero tampoco parecen ser causativas o factor de riesgo para la enfermedad. Estos resultados sugieren que los genes CHCHD2 y TMEM230 no están implicados en el desarrollo de la EP, al menos en población del sur de España. El segundo objetivo fue la replicación de 5 loci de riesgo para la EP en una cohorte de pacientes del Hospital Universitario Virgen del Rocío, que previamente se habían asociado a una cohorte de EP de Granada. En este estudio se ha replicado la asociación de los loci ACMSD/TMEM16 y MAPT con la EP, de manera que polimorfismos en MAPT parecen jugar un papel protector frente a la EP, mientras que variaciones en ACMSD/TMEM16 pueden ser un factor de riesgo para la enfermedad. Los resultados de este estudio ponen de manifiesto la complejidad genética que hay detrás de la EP. A pesar de todos los esfuerzos realizados en esta materia, en éste y otros trabajos, todavía queda mucho por conocer sobre su etiopatonegia. Aumentar el número de pacientes en los estudios de genoma completo, así como la secuenciación cada vez más extendida del genoma o exoma humano, junto con los análisis adecuados, contribuirán a ampliar nuestro conocimiento sobre la EP.Premio Extraordinario de Doctorado U

    A genetic analysis of a Spanish population with early onset Parkinson’s disease

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    Introduction Both recessive and dominant genetic forms of Parkinson’s disease have been described. The aim of this study was to assess the contribution of several genes to the pathophysiology of early onset Parkinson’s disease in a cohort from central Spain. Methods/patients We analyzed a cohort of 117 unrelated patients with early onset Parkinson’s disease using a pipeline, based on a combination of a next-generation sequencing panel of 17 genes previously related with Parkinson’s disease and other Parkinsonisms and CNV screening. Results Twenty-six patients (22.22%) carried likely pathogenic variants in PARK2, LRRK2, PINK1, or GBA. The gene most frequently mutated was PARK2, and p.Asn52Metfs*29 was the most common variation in this gene. Pathogenic variants were not observed in genes SNCA, FBXO7, PARK7, HTRA2, DNAJC6, PLA2G6, and UCHL1. Co-occurrence of pathogenic variants involving two genes was observed in ATP13A2 and PARK2 genes, as well as LRRK2 and GIGYF2 genes. Conclusions Our results contribute to the understanding of the genetic architecture associated with early onset Parkinson’s disease, showing both PARK2 and LRRK2 play an important role in Spanish Parkinson’s disease patients. Rare variants in ATP13A2 and GIGYF2 may contribute to PD risk. However, a large proportion of genetic components remains unknown. This study might contribute to genetic diagnosis and counseling for families with early onset Parkinson’s disease

    Obatoclax and Paclitaxel Synergistically Induce Apoptosis and Overcome Paclitaxel Resistance in Urothelial Cancer Cells

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    Paclitaxel is a treatment option for advanced or metastatic bladder cancer after the failure of first-line cisplatin and gemcitabine, although resistance limits its clinical benefits. Mcl-1 is an anti-apoptotic protein that promotes resistance to paclitaxel in different tumors. Obatoclax, a BH3 mimetic of the Bcl-2 family of proteins, antagonizes Mcl-1 and hence may reverse paclitaxel resistance in Mcl-1-overexpressing tumors. In this study, paclitaxel-sensitive 5637 and -resistant HT1197 bladder cancer cells were treated with paclitaxel, obatoclax, or combinations of both. Apoptosis, cell cycle, and autophagy were measured by Western blot, flow cytometry, and fluorescence microscopy. Moreover, Mcl-1 expression was analyzed by immunohistochemistry in bladder carcinoma tissues. Our results confirmed that paclitaxel alone induced Mcl-1 downregulation and apoptosis in 5637, but not in HT1197 cells; however, combinations of obatoclax and paclitaxel sensitized HT1197 cells to the treatment. In obatoclax-treated 5637 and obatoclax + paclitaxel-treated HT1197 cells, the blockade of the autophagic flux correlated with apoptosis and was associated with caspase-dependent cleavage of beclin-1. Obatoclax alone delayed the cell cycle in 5637, but not in HT1197 cells, whereas combinations of both retarded the cell cycle and reduced mitotic slippage. In conclusion, obatoclax sensitizes HT1197 cells to paclitaxel-induced apoptosis through the blockade of the autophagic flux and effects on the cell cycle. Furthermore, Mcl-1 is overexpressed in many invasive bladder carcinomas, and it is related to tumor progression, so Mcl-1 expression may be of predictive value in bladder cancer

    A replication study of GWAS-genetic risk variants associated with Parkinson’s disease in a Spanish population

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    Recently, 5 previously Parkinson’s disease (PD)-related loci: ACMSD/TMEM163, STK39, MIR4697, SREBF1/RAI1PD and MAPT, have been associated to PD in a Southern Spanish population. However, due to the small sample size of the cohort, this association did not reach genome wide significance. Our aim was to investigate the robustness of this association in a larger and independent cohort from the South of Spain. Variants were genotyped employing TaqMan SNP Genotyping Assay and high resolution melting analysis in 738 PD patients and 1138 healthy controls. Furthermore, a meta-analysis study was carried out with both cohorts. In the replication analysis, only two loci (ACMSD/TMEM163 and MAPT) were replicated with a Bonferroni significance level. In the meta-analysis study no loci reached a genome-wide significance level (P<5xE-8), but a suggestive association (P-value = 1.04E-6) between rs6430538 (ACMSD/TMEM163) and an increased risk of PD was found. In addition, rs9468 (MAPT) was associated with a decreased risk of PD (P-value = 5.70E-7). Our results add further support for the genetic involvement of these two loci in the susceptibility to PD in population from the South of Spain. We believe that our findings will be very useful for future genetic studies on PD.This study was supported by grants from the Spanish Ministry of Economy and Competitiveness [PI14/01823, PI16/01575, PI18/01898], co-founded by ISCIII (Subdirección General de Evaluación y Fomento de la Investigación) and by Fondo Europeo de Desarrollo Regional (FEDER), the Consejería de Economía, Innovación, Ciencia y Empleo de la Junta de Andalucía [CVI-02526, CTS-7685], the Consejería de Salud y Bienestar Social de la Junta de Andalucía [PI-0437-2012, PI-0471-2013], the Sociedad Andaluza de Neurología, the Jacques and Gloria Gossweiler Foundation, the Fundación Alicia Koplowitz, the Fundación Mutua Madrileña. Pilar Gómez-Garre was supported by the "Miguel Servet" (from ISCIII-FEDER) and “Nicolás Monardes” (from Andalusian Ministry of Health) programmes. Silvia Jesús Maestre was supported by the "Juan Rodés" programme and Daniel Macías-García was supported by the “Río Hortega) programme (both from ISCIII-FEDER). Cristina Tejera-Parrado was supported by VPPI-US from the Universidad de Sevilla.Peer reviewe
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