RIED. Revista iberoamericana de educación a distancia

Resumen basado en el de la publicaciónSe describe un método simplificado como solución al problema de sincronización de labios con archivos audio. El algoritmo recibe como entrada un archivo de audio en formato estandarizado (WAV) y regresa un archivo de texto con valores que indican amplitudes promedios de la información audio correspondiente a una fracción de segundo predefinido. Para lograr la sincronización del audio con movimientos de la boca, los valores determinados se correlacionan con archivos de animación. La solución adoptada permite la automatización, por una parte, del análisis de un archivo de sonido registrado por cualquier usuario y, por otra, la asociación del archivo audio con una secuencia de archivos de animación. El método fue empleado con éxito en un proyecto con propósitos educativos de gran escala en México.SCEC

HLA Class I and II Blocks Are Associated to Susceptibility, Clinical Subtypes and Autoantibodies in Mexican Systemic Sclerosis (SSc) Patients

<div><p>Introduction</p><p>Human leukocyte antigen (HLA) polymorphism studies in Systemic Sclerosis (SSc) have yielded variable results. These studies need to consider the genetic admixture of the studied population. Here we used our previously reported definition of genetic admixture of Mexicans using HLA class I and II DNA blocks to map genetic susceptibility to develop SSc and its complications.</p><p>Methods</p><p>We included 159 patients from a cohort of Mexican Mestizo SSc patients. We performed clinical evaluation, obtained SSc-associated antibodies, and determined HLA class I and class II alleles using sequence-based, high-resolution techniques to evaluate the contribution of these genes to SSc susceptibility, their correlation with the clinical and autoantibody profile and the prevalence of Amerindian, Caucasian and African alleles, blocks and haplotypes in this population.</p><p>Results</p><p>Our study revealed that class I block HLA-C*12:03-B*18:01 was important to map susceptibility to diffuse cutaneous (dc) SSc, HLA-C*07:01-B*08:01 block to map the susceptibility role of HLA-B*08:01 to develop SSc, and the C*07:02-B*39:05 and C*07:02-B*39:06 blocks to map the protective role of C*07:02 in SSc. We also confirmed previous associations of HLA-DRB1*11:04 and –DRB1*01 to susceptibility to develop SSc. Importantly, we mapped the protective role of DQB1*03:01 using three Amerindian blocks. We also found a significant association for the presence of anti-Topoisomerase I antibody with HLA-DQB1*04:02, present in an Amerindian block (DRB1*08:02-DQB1*04:02), and we found several alleles associated to internal organ damage. The admixture estimations revealed a lower proportion of the Amerindian genetic component among SSc patients.</p><p>Conclusion</p><p>This is the first report of the diversity of HLA class I and II alleles and haplotypes Mexican patients with SSc. Our findings suggest that HLA class I and class II genes contribute to the protection and susceptibility to develop SSc and its different clinical presentations as well as different autoantibody profiles in Mexicans.</p></div

Frequency of SSc-associated autoantibodies in our SSc patients.

<p>dcSSc: diffuse cutaneous systemic sclerosis, lcSSc: limited cutaneous systemic sclerosis, Anti-RNA Pol III: anti-RNA polymerase I/III.</p><p>Frequency of SSc-associated autoantibodies in our SSc patients.</p

Demographic data and organ damage according to the modified Medsger’s Severity Scale.

<p>dcSSc: diffuse cutaneous systemic sclerosis, lcSSc: limited cutaneous systemic sclerosis, ILD: interstitial lung disease; PAH: pulmonary arterial hypertension.</p><p>Demographic data and organ damage according to the modified Medsger’s Severity Scale.</p

HLA class II genes associations with specific autoantibodies in SSc.

<p>anti-RNAP I/III: anti-RNA polymerase I/III.</p><p>HLA class II genes associations with specific autoantibodies in SSc.</p

Principal component analysis (PCA) plot reveals a close genetic relationship of Mexican admixed SSc patients and healthy controls (HC) from Mexico City to Native American groups.

<p>Native American populations are represented in the upper left of the graphic and Caucasian components in the right bottom area of the graphic. Amerindian components are represented in the left bottom area. Red and blue dots represent difusse and limited SSc patients respectively and the total group in represented in green. The different populations included in the PCA analysis were: Ire: Ireland, Eng: England, Ger: Germany, Aus: Austria; Spa: Spain, Ita: Italy, UK: United Kingdom, Fra: France, Azo: Azores, Sao: São Tomé Island, Cam: Cameroon, Mal: Mali, Zam: Zambia, KLu: Luo from Kenia, KNa: Nandi from Kenia, Sen: Senegal, Gui: Guinea Bissau, Tar: Tarahumara, Gil: Native Americans from Gila River, Yup: Yu’pik from Alaska, Mit: Mixtec from Oaxaca, Zap: Zapotec from Oaxaca, Mix: Mixe from Oaxaca, Ser: Seri from Sonora, Nav: Navajo from New Mexico, HC: “Mexican Admixed controls” [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0126727#pone.0126727.ref026" target="_blank">26</a>].</p