Musical revitalisation of the schoolyard: results of a service-learning project

This research presents and discusses the results of a Service-Learning project developed by student teachers of Primary Education at the University of Valladolid during the academic years 2016/17, 2017/18, 2018/19, and 2019/20. The project aimed to revitalize recess through musical activities for children aged 6 to 12 in seven schools in Segovia (Spain). The results of the qualitative analysis show that the project has promoted the musical development of the children through singing, the experience of rhythm, and expression through movement, using a selected repertoire of popular children folk songs. In the university students, it helped foster commitment to primary school students through the promotion of co-education and socio-cultural diversity—values which have fostered the development of social and civic competences. The student teachers also achieved professional growth by obtaining through this project skills typical of Music Education teachers

Association of the polycystic ovary syndrome with genomic variants related to insulin resistance, type 2 diabetes mellitus, and obesity

7 pages, 2 tables.-- Results from this work were presented at the 85th Annual Meeting of The Endocrine Society, Philadelphia, PA, June 2003.We have evaluated the possible association of polycystic ovary syndrome (PCOS) with 15 genomic variants previously described to influence insulin resistance, obesity, and/or type 2 diabetes mellitus. Seventy-two PCOS patients and 42 healthy controls were genotyped for 15 variants in the genes encoding for paraoxonase (three variants), plasma cell differentiation antigen glycoprotein, human sorbin and SH3 domain containing 1, plasminogen activator inhibitor-1, peroxisome proliferator-activated receptor-gamma2, protein tyrosine phosphatase 1B (two variants), adiponectin (two variants), IGF1, IGF2, IGF1 receptor, and IGF2 receptor. Compared with controls, PCOS patients were more frequently homozygous for the -108T variant in paraoxonase (36.6% vs. 9.5%; P = 0.002) and homozygous for G alleles of the ApaI variant in IGF2 (62.9% vs. 38.1%; P = 0.018). Paraoxonase is a serum antioxidant enzyme and, because -108T alleles result in decreased paraoxonase expression, this increase in oxidative stress might result in insulin resistance. G alleles of the ApaI variant in IGF2 may increase IGF2 expression, and IGF2 stimulates adrenal and ovarian androgen secretion. In conclusion, the paraoxonase -108 C-->T variant and the ApaI polymorphism in the IGF2 gene are associated with PCOS and might contribute to increased oxidative stress, insulin resistance, and hyperandrogenism in this prevalent disorder.This work was supported by grants from the Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Ministerio de Sanidad y Consumo, Spain (FIS 00/0414, 02/0741, and 02/0578 and RGDM G03/212) and from the Consejería de Educación, Comunidad de Madrid, Spain (CAM 08.6/0024/2000 and 08.6/0010/2001).Peer reviewe

Differential gene expression profile in omental adipose tissue in women with polycystic ovary syndrome

10 pages, 2 figures, 5 tables.CONTEXT: The polycystic ovary syndrome (PCOS) is frequently associated with visceral obesity, suggesting that omental adipose tissue might play an important role in the pathogenesis of the syndrome. OBJECTIVE: The objective was to study the expression profiles of omental fat biopsy samples obtained from morbidly obese women with or without PCOS at the time of bariatric surgery. DESIGN: This was a case-control study. SETTINGS: We conducted the study in an academic hospital. PATIENTS: Eight PCOS patients and seven nonhyperandrogenic women submitted to bariatric surgery because of morbid obesity. INTERVENTIONS: Biopsy samples of omental fat were obtained during bariatric surgery. MAIN OUTCOME MEASURE: The main outcome measure was high-density oligonucleotide arrays. RESULTS: After statistical analysis, we identified changes in the expression patterns of 63 genes between PCOS and control samples. Gene classification was assessed through data mining of Gene Ontology annotations and cluster analysis of dysregulated genes between both groups. These methods highlighted abnormal expression of genes encoding certain components of several biological pathways related to insulin signaling and Wnt signaling, oxidative stress, inflammation, immune function, and lipid metabolism, as well as other genes previously related to PCOS or to the metabolic syndrome. CONCLUSION: The differences in the gene expression profiles in visceral adipose tissue of PCOS patients compared with nonhyperandrogenic women involve multiple genes related to several biological pathways, suggesting that the involvement of abdominal obesity in the pathogenesis of PCOS is more ample than previously thought and is not restricted to the induction of insulin resistance.This work was supported by PI020578, PI020741, PI050341, PI050551, RCMN C03/08, and RGDM 03/212 from Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, and Grants 08.6/0021/2003 and GR/SAL/0137/2004 from the Consejería de Educación y Cultura, Comunidad de Madrid, Spain.Peer reviewe

Proteomic analysis of human omental adipose tissue in the polycystic ovary syndrome using two-dimensional difference gel electrophoresis and mass

BACKGROUND: Our aim was to study the protein expression profiles of omental adipose tissue biopsies obtained from morbidly obese women with or without polycystic ovary syndrome (PCOS) at the time of bariatric surgery to evaluate the possible involvement of visceral adiposity in the development of PCOS. METHODS: Ten PCOS patients and nine control samples were included. We used two-dimensional difference gel electrophoresis (2D-DIGE) followed by in-gel digestion, and mass spectrometry (MS) of selected protein spots. RESULTS: The 2D-DIGE technology allowed the analysis of 1840 protein spots in the comparative study of control and patient proteomes, revealing 15 statistically significant spot changes (>2-fold, P < 0.05). Unambiguous protein identification was achieved for 9 of these 15 spots by MS. This preliminary study revealed differences in expression of proteins that may be involved in lipid and glucose metabolism, oxidative stress processes and adipocyte differentiation; they include proapolipoprotein Apo-A1, annexin V, glutathione S-transferase M3 (GSTM3), triosephosphate isomerase, peroxiredoxin 2 isoform a, actin and adipocyte plasma membrane-associated protein. The most relevant finding was an increase of GSTM3 in the omental fat of PCOS patients confirming previous studies conducted by our group. CONCLUSIONS: Proteomic analysis of omental fat reveals differential expression of several proteins in PCOS patients and non-hyperandrogenic women presenting with morbid obesity. The application of this novel methodology adds further evidence to support the role of visceral adiposity in the pathogenesis of PCOS

CSVS, a crowdsourcing database of the Spanish population genetic variability

The knowledge of the genetic variability of the local population is of utmost importance in personalized medicine and has been revealed as a critical factor for the discovery of new disease variants. Here, we present the Collaborative Spanish Variability Server (CSVS), which currently contains more than 2000 genomes and exomes of unrelated Spanish individuals. This database has been generated in a collaborative crowdsourcing effort collecting sequencing data produced by local genomic projects and for other purposes. Sequences have been grouped by ICD10 upper categories. A web interface allows querying the database removing one or more ICD10 categories. In this way, aggregated counts of allele frequencies of the pseudo-control Spanish population can be obtained for diseases belonging to the category removed. Interestingly, in addition to pseudo-control studies, some population studies can be made, as, for example, prevalence of pharmacogenomic variants, etc. In addition, this genomic data has been used to define the first Spanish Genome Reference Panel (SGRP1.0) for imputation. This is the first local repository of variability entirely produced by a crowdsourcing effort and constitutes an example for future initiatives to characterize local variabilityworldwide. CSVS is also part of the GA4GH Beacon network.Spanish Ministry of Economy and Competitiveness SAF2017-88908-R PT17/0009/0006 PI19/00321 CIBERER ACCI-06/07/0036 PI14-948 PI171659Regional Government of Madrid, RAREGenomicsCM B2017/BMD3721 B2017/BMD-3721European Union (EU)European Union (EU) 676559University Chair UAM-IIS-FJD of Genomic MedicineRamon Areces Foundatio

Network Analysis of Differential Expression for the Identification of Disease-Causing Genes

Genetic studies (in particular linkage and association studies) identify chromosomal regions involved in a disease or phenotype of interest, but those regions often contain many candidate genes, only a few of which can be followed-up for biological validation. Recently, computational methods to identify (prioritize) the most promising candidates within a region have been proposed, but they are usually not applicable to cases where little is known about the phenotype (no or few confirmed disease genes, fragmentary understanding of the biological cascades involved). We seek to overcome this limitation by replacing knowledge about the biological process by experimental data on differential gene expression between affected and healthy individuals. Considering the problem from the perspective of a gene/protein network, we assess a candidate gene by considering the level of differential expression in its neighborhood under the assumption that strong candidates will tend to be surrounded by differentially expressed neighbors. We define a notion of soft neighborhood where each gene is given a contributing weight, which decreases with the distance from the candidate gene on the protein network. To account for multiple paths between genes, we define the distance using the Laplacian exponential diffusion kernel. We score candidates by aggregating the differential expression of neighbors weighted as a function of distance. Through a randomization procedure, we rank candidates by p-values. We illustrate our approach on four monogenic diseases and successfully prioritize the known disease causing genes

A crowdsourcing database for the copy-number variation of the spanish population

Background: Despite being a very common type of genetic variation, the distribution of copy-number variations (CNVs) in the population is still poorly understood. The knowledge of the genetic variability, especially at the level of the local population, is a critical factor for distinguishing pathogenic from non-pathogenic variation in the discovery of new disease variants. Results: Here, we present the SPAnish Copy Number Alterations Collaborative Server (SPACNACS), which currently contains copy number variation profiles obtained from more than 400 genomes and exomes of unrelated Spanish individuals. By means of a collaborative crowdsourcing effort whole genome and whole exome sequencing data, produced by local genomic projects and for other purposes, is continuously collected. Once checked both, the Spanish ancestry and the lack of kinship with other individuals in the SPACNACS, the CNVs are inferred for these sequences and they are used to populate the database. A web interface allows querying the database with different filters that include ICD10 upper categories. This allows discarding samples from the disease under study and obtaining pseudo-control CNV profiles from the local population. We also show here additional studies on the local impact of CNVs in some phenotypes and on pharmacogenomic variants. SPACNACS can be accessed at: http://csvs.clinbioinfosspa.es/spacnacs/. Conclusion: SPACNACS facilitates disease gene discovery by providing detailed information of the local variability of the population and exemplifies how to reuse genomic data produced for other purposes to build a local reference database.This work is supported by Grants PID2020-117979RB-I00 from the Spanish Ministry of Science and Innovation; by the Institute of Health Carlos III (project IMPaCT-Data, exp. IMP/00019, IMP/00009 and PI20/01305), co-funded by the European Union, European Regional Development Fund (ERDF, “A way to make Europe”)

Association of the polycystic ovary syndrome with genomic variants related to insulin resistance, type 2 diabetes mellitus, and obesity

7 pages, 2 tables.-- Results from this work were presented at the 85th Annual Meeting of The Endocrine Society, Philadelphia, PA, June 2003.We have evaluated the possible association of polycystic ovary syndrome (PCOS) with 15 genomic variants previously described to influence insulin resistance, obesity, and/or type 2 diabetes mellitus. Seventy-two PCOS patients and 42 healthy controls were genotyped for 15 variants in the genes encoding for paraoxonase (three variants), plasma cell differentiation antigen glycoprotein, human sorbin and SH3 domain containing 1, plasminogen activator inhibitor-1, peroxisome proliferator-activated receptor-gamma2, protein tyrosine phosphatase 1B (two variants), adiponectin (two variants), IGF1, IGF2, IGF1 receptor, and IGF2 receptor. Compared with controls, PCOS patients were more frequently homozygous for the -108T variant in paraoxonase (36.6% vs. 9.5%; P = 0.002) and homozygous for G alleles of the ApaI variant in IGF2 (62.9% vs. 38.1%; P = 0.018). Paraoxonase is a serum antioxidant enzyme and, because -108T alleles result in decreased paraoxonase expression, this increase in oxidative stress might result in insulin resistance. G alleles of the ApaI variant in IGF2 may increase IGF2 expression, and IGF2 stimulates adrenal and ovarian androgen secretion. In conclusion, the paraoxonase -108 C-->T variant and the ApaI polymorphism in the IGF2 gene are associated with PCOS and might contribute to increased oxidative stress, insulin resistance, and hyperandrogenism in this prevalent disorder.This work was supported by grants from the Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Ministerio de Sanidad y Consumo, Spain (FIS 00/0414, 02/0741, and 02/0578 and RGDM G03/212) and from the Consejería de Educación, Comunidad de Madrid, Spain (CAM 08.6/0024/2000 and 08.6/0010/2001).Peer reviewe

Proteomics and genomics: A hypothesis-free approach to the study of the role of visceral adiposity in the pathogenesis of the polycystic ovary syndrome

The polycystic ovary syndrome (PCOS) is possibly the most common endocrine disorder in pre-menopausal women. The primary defect in PCOS consists of an exaggerated androgen secretion by the ovaries and the adrenal glands of affected women, which is amplified by several mechanisms induding abdominal adiposity and insulin resistance. Abdominal adiposity contributes to hyperandrogenism by favoring insulin resistance and compensatory hyperinsulinism, because insulin facilitates ovarian and adrenal androgen synthesis, among other mechanisms. Furthermore, mounting evidence suggest that androgen excess may also contribute to a predominantly abdominal disposition of body fat in women, suggesting that women with PCOS suffer from a vicious circle whereby androgen excess favoring the abdominal deposition of fat further facilitates androgen secretion by the ovaries and adrenals. Familial aggregation of PCOS cases suggests an inherited component in PCOS, yet the genetic mechanisms underlying this inheritance remain elusive. The present manuscript reviews the hypothesis-free approaches - such as genomics and proteomics - that have been used recently to study PCOS, focusing on studies from our group addressing the gene expression profiles and the proteome of visceral adipose tissue of morbidly obese women presenting with or without PCOS. © 2008 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.Funded by: Spanish Ministry of Health, Instituto de Salud Carlos III, Spain. Grant Numbers: FIS PI 050341, REDIMET RD06/0015/000 - 7, CIBER Diabetes y enfermedades metabólicas CB07/08/0005 and Spanish Ministry of Education and Science. Grant Number: SAF-2006-02354.Peer Reviewe