1.0Estudio longitudinal de Coloradohttps://cols.sdcloudlab.com/esMichele Conklinhttps://cols.sdcloudlab.com/es/author/mconklin/rich600338<blockquote class="wp-embedded-content"><a href="https://cols.sdcloudlab.com/es/proteomic-predictors-research/">Perfiles proteómicos para predecir la salud, las enfermedades y el envejecimiento</a></blockquote> <script type='text/javascript'> <!--//--><![CDATA[//><!-- /*! This file is auto-generated */ !function(d,l){"use strict";var e=!1,n=!1;if(l.querySelector)if(d.addEventListener)e=!0;if(d.wp=d.wp||{},!d.wp.receiveEmbedMessage)if(d.wp.receiveEmbedMessage=function(e){var t=e.data;if(t)if(t.secret||t.message||t.value)if(!/[^a-zA-Z0-9]/.test(t.secret)){for(var r,i,a,s=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),n=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),o=new RegExp("^https?:$","i"),c=0;c<n.length;c++)n[c].style.display="none";for(c=0;c<s.length;c++)if(r=s[c],e.source===r.contentWindow){if(r.removeAttribute("style"),"height"===t.message){if(1e3<(a=parseInt(t.value,10)))a=1e3;else if(~~a<200)a=200;r.height=a}if("link"===t.message)if(i=l.createElement("a"),a=l.createElement("a"),i.href=r.getAttribute("src"),a.href=t.value,o.test(a.protocol))if(a.host===i.host)if(l.activeElement===r)d.top.location.href=t.value}}},e)d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",t,!1),d.addEventListener("load",t,!1);function t(){if(!n){n=!0;for(var e,t,r=-1!==navigator.appVersion.indexOf("MSIE 10"),i=!!navigator.userAgent.match(/Trident.*rv:11\./),a=l.querySelectorAll("iframe.wp-embedded-content"),s=0;s<a.length;s++){if(!(e=a[s]).getAttribute("data-secret"))t=Math.random().toString(36).substr(2,10),e.src+="#?secret="+t,e.setAttribute("data-secret",t);if(r||i)(t=e.cloneNode(!0)).removeAttribute("security"),e.parentNode.replaceChild(t,e)}}}}(window,document); //--><!]]> </script><iframe sandbox="allow-scripts" security="restricted" src="https://cols.sdcloudlab.com/es/proteomic-predictors-research/embed/" width="600" height="338" title=""Perfiles proteómicos para predecir la salud, las enfermedades y el envejecimiento" - Estudio longitudinal de Colorado" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe>https://cols.sdcloudlab.com/wp-content/uploads/2020/08/Xtal_683.jpg683683Proteomic 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 […]