Internal limiting membrane peeling versus nonpeeling to prevent epiretinal membrane development in primary rhegmatogenous retinal detachment: A swept-source optical coherence tomography study with a new postoperative classification system

Purpose: To determine whether internal limiting membrane peeling in primary rhegmatogenous retinal detachment prevents epiretinal membrane (ERM) development. Secondarily, we propose a classification system for postoperative ERMs. Methods: Retrospective, interventional, comparative case series. Consecutive eyes with primary rhegmatogenous retinal detachment (n = 140) treated by a single surgeon. The presence of postoperative ERMs was assessed with swept-source optical coherence tomography. Results: An ERM was detected in 26 eyes (46.4%) in the nonpeeling group and in one eye (1.8%) in the internal limiting membrane peeling group (P <= 0.001). The median visual acuity significantly improved in both groups (P <= 0.001). Inner retinal dimples were observed in 41.1% of eyes in the internal limiting membrane peeling group versus 0% in the nonpeeling group (P <= 0.001), and they were not correlated with visual acuity (r = 0.011;P= 0.941). Based on swept-source optical coherence tomography findings, we identified three different types of ERMs: 7 (26.9%) were classified as Type 1, 12 (46.1%) as Type 2, and 7 (26.9%) as Type 3. Superficial retinal plexus deformations observed on optical coherence tomography angiography and en face images were detected in 100% of Type 3 ERMs, 41.6% of Type 2, and 0% of Type 1 (chi(2)= 14.3;P= 0.001). Interestingly, all of the patients who presented these alterations also had metamorphopsia. Conclusion: Internal limiting membrane peeling in primary rhegmatogenous retinal detachment seems to prevent postoperative ERM development. Swept-source optical coherence tomography analysis is helpful to define and classify different types of ERMs and to establish the surgical indication for their removal

Preoperative study of the inner segment/outer segment junction of photoreceptors by spectral-domain optical coherence tomography as a prognostic factor in patients with epiretinal membranes

Objective: to demonstrate whether the preoperative integrity of the inner segment/outer segment (IS/OS) junction of photoreceptors studied by spectral-domain optical coherence tomography (SD-OCT) is a prognostic factor in epiretinal membrane surgery. Methods: we retrospectively studied patients with an idiopathic epiretinal membrane who underwent a 23-gauge vitrectomy to remove this membrane. Best-corrected visual acuity (BCVA) and SD-OCT scans were examined before and 6 months after the surgery. We studied the retinal microstructure, especially the IS/OS junction of the photoreceptors, and evaluated the intergroup differences between patients with an intact layer and those with an irregular or disrupted layer. We applied both the Wilcoxon and Mann-Whitney tests for statistical analysis. Results: in total, 51 eyes from 51 enrolled patients were examined in this study. The postoperative BCVA was significantly better for eyes that had an intact IS/OS junction than for eyes that had an irregular or disrupted IS/OS junction, as preoperatively observed with SD-OCT scans (P < 0.001). We also observed an important association between disrupted IS/OS junctions and the presence of cystic macular edema (P < 0.01). Conclusion: the presence of an intact IS/OS junction on the preoperative SD-OCT scan was an important predictor of better visual recovery after epiretinal membrane surgery

Intermediate Molecular Phenotypes to Identify Genetic Markers of Anthracycline-Induced Cardiotoxicity Risk.

Cardiotoxicity due to anthracyclines (CDA) affects cancer patients, but we cannot predict who may suffer from this complication. CDA is a complex trait with a polygenic component that is mainly unidentified. We propose that levels of intermediate molecular phenotypes (IMPs) in the myocardium associated with histopathological damage could explain CDA susceptibility, so variants of genes encoding these IMPs could identify patients susceptible to this complication. Thus, a genetically heterogeneous cohort of mice (n = 165) generated by backcrossing were treated with doxorubicin and docetaxel. We quantified heart fibrosis using an Ariol slide scanner and intramyocardial levels of IMPs using multiplex bead arrays and QPCR. We identified quantitative trait loci linked to IMPs (ipQTLs) and cdaQTLs via linkage analysis. In three cancer patient cohorts, CDA was quantified using echocardiography or Cardiac Magnetic Resonance. CDA behaves as a complex trait in the mouse cohort. IMP levels in the myocardium were associated with CDA. ipQTLs integrated into genetic models with cdaQTLs account for more CDA phenotypic variation than that explained by cda-QTLs alone. Allelic forms of genes encoding IMPs associated with CDA in mice, including AKT1, MAPK14, MAPK8, STAT3, CAS3, and TP53, are genetic determinants of CDA in patients. Two genetic risk scores for pediatric patients (n = 71) and women with breast cancer (n = 420) were generated using machine-learning Least Absolute Shrinkage and Selection Operator (LASSO) regression. Thus, IMPs associated with heart damage identify genetic markers of CDA risk, thereby allowing more personalized patient management.J.P.L.’s lab is sponsored by Grant PID2020-118527RB-I00 funded by MCIN/AEI/10.13039/ 501100011039; Grant PDC2021-121735-I00 funded by MCIN/AEI/10.13039/501100011039 and by the “European Union Next Generation EU/PRTR”, the Regional Government of Castile and León (CSI144P20). J.P.L. and P.L.S. are supported by the Carlos III Health Institute (PIE14/00066). AGN laboratory and human patients’ studies are supported by an ISCIII project grant (PI18/01242). The Human Genotyping unit is a member of CeGen, PRB3, and is supported by grant PT17/0019 of the PE I + D + i 2013–2016, funded by ISCIII and ERDF. SCLl is supported by MINECO/FEDER research grants (RTI2018-094130-B-100). CH was supported by the Department of Defense (DoD) BCRP, No. BC190820; and the National Cancer Institute (NCI) at the National Institutes of Health (NIH), No. R01CA184476. Lawrence Berkeley National Laboratory (LBNL) is a multi-program national laboratory operated by the University of California for the DOE under contract DE AC02-05CH11231. The Proteomics Unit belongs to ProteoRed, PRB3-ISCIII, supported by grant PT17/0019/0023 of the PE I + D +i, 2017–2020, funded by ISCIII and FEDER. RCC is funded by fellowships from the Spanish Regional Government of Castile and León. NGS is a recipient of an FPU fellowship (MINECO/FEDER). hiPSC-CM studies were funded in part by the “la Caixa” Banking Foundation under the project code HR18-00304 and a Severo Ochoa CNIC Intramural Project (Exp. 12-2016 IGP) to J.J.S

Asociación de los polimorfismos CFH, CFB, ARMS2, SERPINF1, VEGFR1 y VEGF en la respuesta anatómica y funcional al tratamiento con Ranibizumab en pacientes con Degeneración Macular Asociada a la Edad

[spa] OBJETIVO: Se buscó determinar si polimorfismos genéticos específicos influyen en la respuesta de inhibición del factor de crecimiento endotelial vascular llevada a cabo por el ranibizumab en la DMAE neovascular. MÉTODOS: Se incluyeron un total de 403 pacientes caucásicos diagnosticados con DMAE exudativa. Después de una fase de carga de tres inyecciones, se siguió un régimen de pro re nata. Se genotiparon nueve SNP de seis genes diferentes (CFH, CFB, ARMS2, SERPINF1, VEGFR1, VEGF). También se evaluaron factores de riesgo no genéticos (edad, género, hábito de fumar e hipertensión). Los pacientes fueron clasificados como buenos o malos respondedores según su respuesta funcional (agudeza visual), anatómica (espesor de la fóvea medida por OCT), y la respuesta del fluido (fluido intrarretiniano y/o subretiniano/sin fluido, medido por OCT). RESULTADOS: La hipertensión fue el factor ambiental con mayor asociación con una pobre respuesta al ranibizumab en la medida anatómica después de la fase de carga (p = 0,0004; OR 3,7; IC del 95%: 2,4-5,8) y después de 12 meses de tratamiento (p = 5, OR 2,3, IC del 95%, 1,5 - 3,4). Las variantes genéticas rs12614 (CFB), rs699947 (VEGFA) y rs7993418 (VEGFR1) predisponen a los pacientes a una buena respuesta mientras que rs12603486 y rs1136287 (SERPINF1) se asocian con una respuesta pobre. El genotipo protector de la variante rs800292 (CFH) también se asoció con una respuesta anatómica deficiente (p 0.0048). CONCLUSIONES: Todos estos datos sugieren que la genética juega un papel importante en la respuesta al tratamiento en pacientes con DMAE.[eng] PURPOSE: We sought to determine if specific genetic single nucleotide polymorphisms influence vascular endothelial growth factor inhibition response to ranibizumab in neovascular AMD. METHODS: A total of 403 Caucasian patients diagnosed with exudative AMD were included. After a three-injection loading phase, a pro re nata regimen was followed. Nine SNPs from 6 different genes (CFH, CFB, ARMS2, SERPINF1, VEGFR1, VEGF) were genotyped. Non-genetic risk factors, (gender, smoking habit, and hypertension) were also assessed. Patients were classified as good or poor responders (GR or PR) according to functional (visual acuity), anatomical (foveal thickness measured by OCT), and fluid criteria (fluid/no fluid measured by OCT). RESULTS: Hypertension was the environmental factor with the strongest poor response association with ranibizumab in the anatomical measure after the loading phase (p=0.0004; OR 3.7; 95% CI, 2.4-5.8) and after 12 months of treatment (p=10-5; OR 2.3; 95% CI, 1.5-3.4). The genetic variants rs12614 (CFB), rs699947 (VEGFA) and rs7993418 (VEGFR1) predisposed patients to a good response while rs12603486 and rs1136287 (SERPINF1) were associated with a poor response. The protective genotype of rs800292 variant (CFH) was also associated with a poor anatomical response (p 0.0048). CONCLUSIONS: All these data suggest that genetics play an important role in treatment response in AMD patients

Topical NSAIDs, intravitreal dexamethasone and peribulbar triamcinolone for pseudophakic macular edema

Background: the purpose of this study is to assess the effectiveness of topical nonsteroidal anti-inflammatory drugs (NSAIDs) and corticosteroids (intravitreal dexamethasone and peribulbar triamcinolone) in treating pseudophakic macular edema (PME). Methods: retrospective study of 33 eyes. Variables included best corrected visual acuity (BCVA; logMAR scale) and central retinal thickness (CRT) and central choroidal thickness (CCT) assessed with swept-source OCT. All patients were initially prescribed topical NSAIDs and reevaluated after 2 months. If improvement in BCVA or CRT was noted, topical NSAIDs were continued until resolution. If no improvement was observed at 2 months or subsequent visits, intravitreal dexamethasone implant was performed. Patients who refused intravitreal treatment were offered peribulbar triamcinolone. Results: after treatment with topical NSAIDs for a median of 2 months, BCVA increased significantly from 0.5 to 0.3 while CRT decreased significantly from 435 to 316 μm. PME resolved in 19 of the 33 eyes (57.6%). Of the 14 recalcitrant cases, 13 were treated with corticosteroids. Of these 13 cases, 9 (69.2%) resolved. BCVA increased non-significantly from 0.7 to 0.4. CRT and CCT decreased significantly from 492 to 317 μm and from 204 to 182 μm respectively. Conclusions: the overall success rate of the treatment algorithm was greater than 80%, a remarkable finding considering that no randomized study has yet been conducted to determine the optimal therapeutic protocol for PME. This is the first study to evaluate choroidal thickness in PME using SS-OCT, which could play a key role in its pathophysiology and provide useful information to improve the management of PME

Intermediate Molecular Phenotypes to Identify Genetic Markers of Anthracycline-Induced Cardiotoxicity Risk.

Cardiotoxicity due to anthracyclines (CDA) affects cancer patients, but we cannot predict who may suffer from this complication. CDA is a complex trait with a polygenic component that is mainly unidentified. We propose that levels of intermediate molecular phenotypes (IMPs) in the myocardium associated with histopathological damage could explain CDA susceptibility, so variants of genes encoding these IMPs could identify patients susceptible to this complication. Thus, a genetically heterogeneous cohort of mice (n = 165) generated by backcrossing were treated with doxorubicin and docetaxel. We quantified heart fibrosis using an Ariol slide scanner and intramyocardial levels of IMPs using multiplex bead arrays and QPCR. We identified quantitative trait loci linked to IMPs (ipQTLs) and cdaQTLs via linkage analysis. In three cancer patient cohorts, CDA was quantified using echocardiography or Cardiac Magnetic Resonance. CDA behaves as a complex trait in the mouse cohort. IMP levels in the myocardium were associated with CDA. ipQTLs integrated into genetic models with cdaQTLs account for more CDA phenotypic variation than that explained by cda-QTLs alone. Allelic forms of genes encoding IMPs associated with CDA in mice, including AKT1, MAPK14, MAPK8, STAT3, CAS3, and TP53, are genetic determinants of CDA in patients. Two genetic risk scores for pediatric patients (n = 71) and women with breast cancer (n = 420) were generated using machine-learning Least Absolute Shrinkage and Selection Operator (LASSO) regression. Thus, IMPs associated with heart damage identify genetic markers of CDA risk, thereby allowing more personalized patient management

Datasets related to a study aimed to identify genetic markers of CDA by subphenotypes associated with cardiotoxicity

Who produced the data? The data has been created by the authors listed above. Is the title specific enough? "Datasets related to a study aimed to identify genetic markers of CDA by subphenotypes associated with cardiotoxicity." Why has the data been created? These datasets are supplementary material with which the principal and supplementary figures and tables of our indicated work were generated. What limitations do the data have (for example, sensitive data has been deleted)? All confidential patient information is not present. We have not had access to that information, following current legal regulations. How should the data be interpreted? These data sets should not be separated from the main article in which they were utilized. Thus, to better understand their context, researchers should see them in the global scenario of our work. Are there gaps in the data, or do they give a complete picture of the topic studied? As indicated above, data should be considered and interpreted in the global context of our study. What processes have generated the data? The processes that generated the data are indicated in the summary of the data above and individually for each of them. Thus, each dataset is accompanied by a legend within the document. What does the data measure in the columns of the files? As indicated, each dataset individually shows the information contained in the legend of each dataset. What software is required to be able to read the data? The datasets are in Excel format. How should the data be quoted? Researchers should cite the data in the context of the work they belong to once it is published and free of the embargo. Can the data be reused? What use licenses are assigned to you? In principle, yes. If additional clinical information is required, these data were previously published by some of us, and the references are included in our manuscript. These data are available from the principal investigators of the references listed in our work upon reasonable request. Are there more versions of the data? Where? I do not think so beyond our files and copies. Have the technical terms and acronyms referenced by the data been defined? A legend with the appropriate descriptions accompanies each dataset. Have the geographic and chronological parameters of the data been qualified? The authors of the work have generated the data. Elsewhere, we indicate the authors of the work, their contributions, and affiliations. Are keywords sufficiently data-specific? Are they based on any thesaurus? Keywords are based on our study. We include cardiotoxicity due to anthracyclines, missing heritability, subphenotype, pathophenotype, complex trait. What is the name of the research project in which the data are framed? The main research project in which the data is prepared is: Títle: "Chemotherapy cardiotoxicity in the elderly: a translational and personnel approach." Ref.: PIE14/00066 Who has financed data production and management? Each of the authors of the study has its funding. The grants are included in the acknowledgments section of our manuscript.Here we present a series of supplemental datasets that complement our study entitled "A Systems Genetics approach to identify genetic markers of cardiotoxicity due to anthracyclines in cancer patients." The datasets presented here were used to generate the main and supplementary figures and tables of the indicated study. The study consists of the identification of genetic markers of cardiotoxicity due to anthracyclines (CDA). CDA is a complex genesis disease or complex trait, and because of this, there is a component of missing heritability. Therefore, it is not possible to identify genetic markers associated with CDA risk. Here, we propose that molecular subphenotypes associated with the CDA may be a strategy for identifying some of this missing heritability and risk markers associated with it. A similar strategy could be applied to identify markers of other diseases of complex genesis. This study is done using a genetically heterogeneous cohort of mice that developed breast cancer and was treated with doxorubicin or a combined treatment of doxorubicin and docetaxel. The mouse cohort was generated by backcrossing, so each mouse is genetically unique. Post-chemotherapy heart damage was assessed by quantifying fibrosis's cardiac area and the thickness of myocardial fibers. The genetic regions associated with CDA were assessed by massive genotyping and genetic linkage analysis. Several molecular subphenotypes were quantified in the myocardium, and their association with the CDA was evaluated. Subsequently, we identified which of them were most statistically associated with CDA in multivariate models. Moreover, which complex trait loci (QTLs) associated with molecular subphenotypes best explained CDA. This strategy served to identify in the cohort of mice genes whose allelic forms could be candidates for the risk of CDA. Allelic variants of these genes were evaluated in four cohorts of cancer patients treated with anthracyclines and whose CDA was evaluated by echocardiography or cardiac magnetic resonance imaging (CMR).JPL laboratory was partially supported by the European Regional Development Fund (ERDF) and the Ministry of Science, Innovation, and Universities (SAF2014-56989-R, SAF2017-88854R), the Carlos III Health Institute (PIE14/00066), "Proyectos Integrados IBSAL 2015" (IBY15/00003), the Regional Government of Castile and Leon (CSI234P18), and "We can be heroes" Foundation. AGN laboratory and human patients' study are supported by funds from the ISCIII project grant (PI18/01242). The Human Genotyping unit is a member of CeGen, PRB3, and is supported by grant PT17/0019, of the PE I+D+i 2013-2016, funded by ISCIII and ERDF. SCLL was the recipient of a Ramón y Cajal research contract from the Spanish Ministry of Economy and Competitiveness, and the work was supported by MINECO/FEDER research grants (RTI2018-094130-B-100). The Proteomics Unit belongs to ProteoRed, PRB3-ISCIII, supported by grant PT17/0019/0023, of the PE I + D + I 2017-2020, funded by ISCIII and FEDER. RCC is funded by fellowships from the Spanish Regional Government of Castile and León. NGS is a recipient of an FPU fellowship (MINECO/FEDER). hiPSC-CM studies were funded in part by the "la Caixa" Banking Foundation under the project code HR18-00304" and Severo Ochoa CNIC Intramural Project (Expediente 12-2016 IGP) to JJ.Supplemental Dataset 1: CDA pathophenotypes after doxorubicin treatment. We treated 71 mice carrying breast cancer with doxorubicin. Each mouse was generated by backcrossing; thus, each one is genetically unique. Cardiotoxicity due to anthracyclines (CDA) was evaluated by automatically quantifying the heart fibrosis area and the average area of myocardial fibers as pathophenotypes of cardiotoxicity using the Ariol slide scanner. The histopathological damage was evaluated in the subendocardium and subepicardium from five randomly chosen regions of each sample (averages in μm2 are shown).-- Supplemental Dataset 2: CDA pathophenotypes after the combined therapy. We treated 61 mice carrying breast cancer with the combined therapy with doxorubicin and docetaxel. Each mouse was generated by backcrossing; thus, each one is genetically unique. Cardiotoxicity due to anthracyclines (CDA) was evaluated by automatically quantifying the heart fibrosis area and the average area of myocardial fibers as pathophenotypes of cardiotoxicity using the Ariol slide scanner. The histopathological damage was evaluated in the subendocardium and subepicardium from five randomly chosen regions of each sample (averages in μm2 are shown).-- Supplemental Dataset 3: CDA subphenotypes after doxorubicin therapy. Myocardium molecular subphenotypes after doxorubicin therapy. Proteins were quantified by a multiplex bead array (Luminex). TGFβ units are shown in pg/mL. The rest of the protein levels are shown in molecular fluorescence intensity (MFI) Units. The telomeric length was quantified by QPCR (RQ units). miRNAs were quantified by QPCR (RQ units). QPCR analyses were assessed by the ΔΔCT method; we show the averages of triplicates.-- Supplemental Dataset 4: CDA subphenotypes after the combined therapy. Myocardium molecular subphenotypes after the combined therapy with doxorubicin and docetaxel. Proteins were quantified by a multiplex bead array (Luminex). TGFβ units are shown in pg/mL. The rest of the protein levels are shown in molecular fluorescence intensity (MFI) Units. The telomeric length was quantified by QPCR (RQ units). miRNAs were quantified by QPCR (RQ units). QPCR analyses were assessed by the ΔΔCT method; we show the averages of triplicates.-- Supplemental Dataset 5: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after doxorubicin therapy in all mice.-- Supplemental Dataset 6: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after doxorubicin therapy in young mice. Correlation of Spearman.-- Supplemental Dataset 7: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after doxorubicin therapy in old mice. Correlation of Spearman.-- Supplemental Dataset 8: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after the combined therapy in all mice. Correlation of Spearman.-- Supplemental Dataset 9: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after the combined therapy in young mice. Correlation of Spearman.-- Supplemental Dataset 10: Correlations identified between molecular subphenotype levels in the myocardium and pathophenotypes of cardiotoxicity due to anthracyclines (CDA) after the combined therapy in old mice. Correlation of Spearman.-- Supplemental Dataset 11: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after doxorubicin therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 12: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after doxorubicin therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 13: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after doxorubicin therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 14: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after the combined therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 15: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after the combined therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 16: Linkage analysis of molecular subphenotype levels quantified in the myocardium. Lod scores after the combined therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 17: Massive genotyping of mouse cohort treated with doxorubicin. The genome-wide scan was carried out at the Spanish National Centre of Genotyping (CeGEN) at the Spanish National Cancer Research Centre (CNIO, Madrid, Spain). The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution.-- Supplemental Dataset 18: Massive genotyping of mouse cohort treated with the combined therapy. The genome-wide scan was carried out at the Spanish National Centre of Genotyping (CeGEN) at the Spanish National Cancer Research Centre (CNIO, Madrid, Spain). The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution.-- Supplemental Dataset 19: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after doxorubicin therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 20: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after doxorubicin therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 21: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after doxorubicin therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 22: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after the combined therapy in all mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 23: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after the combined therapy in young mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 24: Linkage analysis of CDA pathophenotypes quantified in the myocardium. Lod scores after the combined therapy in old mice. The Illumina Mouse Medium Density Linkage Panel Assay was used to genotype 130 F1BX mice at 1449 single nucleotide polymorphisms (SNPs). Genotypes were classified as FVB/FVB (F/F) or FVB/C57BL/6 (F/B). Ultimately, 806 SNPs are informative from the FVB and C57BL/6 mice; the average genomic distance between these SNPs was 9.9 Mb. The genotype proportion among the F1BX mice showed a normal distribution. Linkage analysis was carried out using interval mapping with the expectation-maximization (EM) algorithm and R/QTL software. The criteria for significant and suggestive linkages for single markers were chosen based on Lander and Kruglyak (see methods section of our manuscript).-- Supplemental Dataset 25: Human breast cancer cohort-1 genotyping. The association of genetic variants with CDA was evaluated in four patient cohorts p

Podcasts como ferramenta para aprender sobre Direito

La proliferación de nuevas formas de transmisión del conocimiento, así como de su difusión constituye una oportunidad que la enseñanza del Derecho no puede dejar pasar. La elaboración de podcast o podcasting con fines educativos o de aplicación a la docencia ha sido ya objeto de utilización en el contexto anglosajón y, en un nivel mucho menor, en el contexto español. Como ya alude Piñero-Otero, T. en su investigación “La utilización de los podcasts en la universidad española: entre la institución y la enseñanza”, la incorporación de los podcasts como herramienta docente en las universidades españolas fue tardía respecto a otras universidades, como las norteamericanas. Y, no sólo eso, sino que su aplicación en la práctica es escasa. Los podcasts muestran relevantes potencialidades para la formación universitaria y, en específico, para la formación en Derecho. El formato de fragmentos o episodios de audio que desarrollan conocimiento, online, público, gratuito y accesible en cualquier momento se evidencia pertinente para captar el interés del estudiantado. Evidencia que queda patente en los estudios que ya han aplicado esta herramienta. El presente proyecto busca fomentar la extensión de este instrumento en el entorno universitario como recurso formativo complementario y de apoyo a la clase magistral y práctica establecida en la regulación de las enseñanzas superiores. Tal y como se ha apuntado en numerosas ocasiones por docentes que ya han aplicado los podcasts en la educación, se trata de una fuente más que, en ningún caso, se propone como sustitutoria de las clases ordinarias. Ello supondría el desencadenamiento de efectos negativos como una insuficiencia de formación, falta de intercambio de pensamiento y debate y riesgo de asistencia y participación en el aula, entre otros. Respecto de este último aspecto, estudios como el de Parson, V., Reddy, P., Wood, J. y Senior, C. (2009), “Educating and iPod generation: undergraduate attitudes, experiences and understanding of vodcast and podcast use”, reflejan que los estudiantes consideran como un aspecto muy positivo el hecho de que los podcasts permitan aprender y revisar el contenido de la asignatura; aspecto que quedaría desvirtuado si la docencia tradicional quedará completamente subsumida al empleo del podcast.El objetivo del Proyecto de Innovación Docente es ofrecer una herramienta para el aprendizaje del Derecho, basada en la digitalización mediante podcast, que permita a los estudiantes disponer de contenidos jurídicos para su proceso formativo.The aim of the Teaching Innovation Project is to offer a tool for learning law, based on digitalisation through podcasts, which allows students to have access to legal content for their learning process.L'obiettivo del Progetto di Innovazione Didattica è quello di offrire uno strumento per l'apprendimento del diritto, basato sulla digitalizzazione attraverso i podcast, che permetta agli studenti di avere accesso a contenuti giuridici per il loro processo di formazione.O objetivo do Projeto de Inovação Didática é oferecer uma ferramenta de aprendizagem do direito, baseada na digitalização através de podcasts, que permita aos estudantes ter acesso a conteúdos jurídicos para o seu processo de formação.Depto. de Derecho del Trabajo y Seguridad SocialFac. de DerechoFALSEsubmitte