{"version":"1.0","provider_name":"Estudio longitudinal de Colorado","provider_url":"https:\/\/colostudy.org\/es","author_name":"Janelle Lawrence","author_url":"https:\/\/colostudy.org\/es\/author\/jlawrence\/","title":"Proteomic Profiles to Predict Health, Disease, and Aging - Colorado Longitudinal Study","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"mxOiVslNzV\"><a href=\"https:\/\/colostudy.org\/es\/investigacion-de-predictores-proteomicos\/\">Perfiles prote\u00f3micos para predecir la salud, las enfermedades y el envejecimiento<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/colostudy.org\/es\/investigacion-de-predictores-proteomicos\/embed\/#?secret=mxOiVslNzV\" width=\"600\" height=\"338\" title=\"&quot;Perfiles prote\u00f3micos para predecir la salud, las enfermedades y el envejecimiento&quot; - Estudio longitudinal de Colorado\" data-secret=\"mxOiVslNzV\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/colostudy.org\/wp-includes\/js\/wp-embed.min.js\n<\/script>","thumbnail_url":"https:\/\/colostudy.org\/wp-content\/uploads\/2020\/08\/Xtal_683.jpg","thumbnail_width":683,"thumbnail_height":683,"description":"Proteomic Changes in Health Trajectories Researchers have applied genomic, transcriptomic, and proteomic technologies to assess health trajectories at the molecular level and identify biomarkers of normal, diseased, or aging cells and tissues. Of these, proteins convey the most accurate data about current health status and disease progression that provide some of the most actionable information [&hellip;]"}