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<main class="page-content"> <div class="hero" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/10/CVD_LargeHero_withGradient.jpg);height: 600px;" title="Image of man exploring cave finding large colorful abstract protein"> <div class="container"> <div class="grid"> <div class="cell-md-9"> <p class="breadcrumbs"><a href="/">Home</a> / Education / Disease Spotlight / <span class="blue">CVD</span></p> <h1>Advance cardiovascular disease research with high-plex protein profiling for biomarker discovery</h1> <p>Interrogate thousands of proteins from a 55-µL sample to identify novel protein signatures.</p> </div> </div> </div> </div><div class="wrap white " id="wrap_0" title=""> <div class="container"> <div class="grid"><div class="text-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><h2>Discover <em class="blue">relevant biomarkers</em> related to cardiac health and disease for prevention, diagnostics, and drug development</h2> <p>Cardiovascular disease (CVD) is the leading cause of mortality worldwide. Identifying novel and early-stage biomarkers is important in predicting and preventing the significant morbidity and mortality associated with CVD. High-content analysis of the human plasma proteome is facilitating the possibility for novel biomarker discoveries. This, combined with increasing capacity for analysis of large data sets, opens a world of possibilities for improving cardiovascular care with a more personalized medicine approach.</p> </div> </div></div> </div> </div><div class="wrap grey " id="wrap_1" title=""> <div class="container"> <div class="grid"><div class="text-block cell-md-3 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><p><img decoding="async" class="alignnone size-medium wp-image-4783" src="https://somalogic.com/wp-content/uploads/2023/07/cardio-human-heart-blood-flow-300x225.jpg" alt="Illustration of human cardiovascular system" width="300" height="225" srcset="https://somalogic.com/wp-content/uploads/2023/07/cardio-human-heart-blood-flow-300x225.jpg 300w, https://somalogic.com/wp-content/uploads/2023/07/cardio-human-heart-blood-flow-768x575.jpg 768w, https://somalogic.com/wp-content/uploads/2023/07/cardio-human-heart-blood-flow.jpg 800w" sizes="(max-width: 300px) 100vw, 300px" /></p> </div> </div><div class="text-block cell-md-9 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="pl-40"><h3>Profiling technology unlocks the predictive power of proteomics</h3> <p><em>Featuring:</em><br /> <strong>Peter Ganz, MD  </strong>University of California, San Francisco<br /> <strong>Ali Javaheri, MD  </strong>Washington University in St. Louis<br /> <strong>Yuichi Shimada, MD  </strong>Columbia University</p> <p>“From a single blood sample, one can simultaneously determine the risk of many diseases.”</p> <p><a class="btn blue" href="https://share.hsforms.com/19kDrXjdjQC-VzXMDWc8lsQ3zbc6" target="_blank" rel="noopener">Download article</a></p> </div> </div><div class="text-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><hr /> </div> </div><div class="text-block cell-md-3 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><p><img loading="lazy" decoding="async" class="alignnone size-medium wp-image-5347" src="https://somalogic.com/wp-content/uploads/2023/08/cardioEventIllo_web-300x225.jpg" alt="Illustration of human heart during a cardiovascular event" width="300" height="225" srcset="https://somalogic.com/wp-content/uploads/2023/08/cardioEventIllo_web-300x225.jpg 300w, https://somalogic.com/wp-content/uploads/2023/08/cardioEventIllo_web-768x576.jpg 768w, https://somalogic.com/wp-content/uploads/2023/08/cardioEventIllo_web.jpg 800w" sizes="auto, (max-width: 300px) 100vw, 300px" /></p> </div> </div><div class="text-block cell-md-9 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="pl-40"><h3>A proteomic surrogate for cardiovascular outcomes that is sensitive to multiple mechanisms of change in risk</h3> <p>Researchers measured about 5,000 proteins in plasma samples from 22,849 participants in nine clinical studies. They used machine learning to derive a 27-protein model predicting 4-year likelihood of myocardial infarction, stroke, heart failure, or death.</p> <p>&#8220;The 27-protein model has potential as a &#8216;universal&#8217; surrogate end point for cardiovascular risk.&#8221;</p> <p><a class="btn blue" href="https://pubmed.ncbi.nlm.nih.gov/35385337/" target="_blank" rel="noopener">Read article</a></p> </div> </div></div> </div> </div><div class="wrap white " id="wrap_2" title=""> <div class="container"> <div class="grid"><div class="text-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><h2>Look deeper with the <em class="blue">SomaScan Platform</em></h2> </div> </div><div class="cards-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0"> <div class=" cards " ><div class="card transparent owl-block" title="Speedometer-like graphic"> <div> <p><img src="https://somalogic.com/wp-content/uploads/2022/06/High-Throughput_Hex.png" alt="Speedometer-like graphic" /></p> <h3>Multiplex, high-throughput proteomics</h3> <div class="content"><p>Profile <a href="https://somalogic.com/somascan-assay-services/">11,000 protein measurements</a> per sample and conduct high-throughput analysis of &gt;1,000 samples simultaneously.</p> </div> </div> </div><div class="card transparent owl-block" title="Magnifying glass"> <div> <p><img src="https://somalogic.com/wp-content/uploads/2022/06/Sensitive_Hex.png" alt="Magnifying glass" /></p> <h3>Sensitive detection</h3> <div class="content"><p>Detect and quantify a <a href="https://somalogic.com/dynamic-range/">wide dynamic range</a> of proteins (from fmol – μmol) in complex sample types, such as serum and plasma.</p> </div> </div> </div><div class="card transparent owl-block" title="Icon of many hexagons being repeated"> <div> <p><img src="https://somalogic.com/wp-content/uploads/2022/10/Reproducible_Hex_Large.png" alt="Icon of many hexagons being repeated" /></p> <h3>Reproducible</h3> <div class="content"><p>Obtain <a href="https://somalogic.com/coefficients-of-variation/">consistent and reproducible</a> inter- and intraassay results for data analysis and comparison.</p> </div> </div> </div></div> </div><div class="text-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><h2>Advanced <em class="blue">proteomics offerings</em> in cardiovascular disease (CVD)</h2> <p>The <a href="https://somalogic.com/somascan-platform/">SomaScan Platform</a> is available in multiple formats, each providing unique data outputs to fast-track your CVD research.</p> </div> </div><div class="cards-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0"> <div class=" cards " ><div class="card white owl-block" title=""> <div> <h3>SomaScan Assay</h3> <div class="content"><p>With the ability to profile thousands of proteins simultaneously and in easily accessible samples, such as blood and urine, the SomaScan Assay is well suited to measuring low- and high-abundant proteins to identify CVD biomarkers.</p> </div> <p class="a-center"><a href="https://somalogic.com/somascan-assay-services/" class="btn blue on-white" target="">Learn more</a></p> </div> </div><div class="card white owl-block" title=""> <div> <h3>SomaScan Panels</h3> <div class="content"><p>These custom panels can be individualized from our menu of 11,000 protein analytes. The assay is also offered as a cardiac panel focused on 953 CVD-relevant proteins, in addition to other curated panels for inflammation and metabolic diseases.</p> </div> <p class="a-center"><a href="https://somalogic.com/somascan-panels/" class="btn blue on-white" target="">Learn more</a></p> </div> </div><div class="card white owl-block" title=""> <div> <h3>SomaSignal<sup>®</sup> Tests</h3> <div class="content"><p>Monitor clinical metrics including those associated with cardiovascular disease, such as body fat percentage, lean body mass, cardiorespiratory fitness, and heart failure-specific tests.</p> </div> <p class="a-center"><a href="https://somalogic.com/somasignal-tests/" class="btn blue on-white" target="">Learn more</a></p> </div> </div></div> </div><div class="text-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><p>In one of the largest proteomics studies ever conducted, scientists from 18 organizations across the world used the SomaScan Assay to create and validate a 27-protein clinical test model that accurately predicted the 4-year likelihood of myocardial infarction, heart failure, stroke, or death. This model elucidated the underlying biology associated with clinical risk factors and has the potential for consideration as a “universal” surrogate endpoint for CVD risk. (<em>A proteomic surrogate for cardiovascular outcomes that is sensitive to multiple mechanisms of change in risk | <a href="https://www.science.org/doi/10.1126/scitranslmed.abj9625" target="_blank" rel="noopener">Science Translational Medicine</a></em>)</p> </div> </div></div> </div> </div><div class="wrap white " id="wrap_3" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/Breaker-4-scaled.jpeg)" title="Splash of teal and pink color"> <div class="container"> <div class="grid"></div> </div> </div><div class="wrap white " id="wrap_4" title=""> <div class="container"> <div class="grid"><div class="text-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" > <div class="a-center"><h2>Additional <em class="blue">resources</em></h2> </div> </div><div class="resources-block cell-md-12 cell-offset-md-0 cell-sm-12 cell-offset-sm-0"> <div class="owl-carousel cards " data-items="3"><div class="card owl-block black blogs resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/Lanfear-Blog-istock-photo.jpeg);" title="Doctor holding futuristic tablet with a human heart shown on screen"> <div> <div class="content"> <h3><span>BLOG</span>Proteomics and heart failure: improving risk stratification and treatment</h3> Proteomics and heart failure: improving risk stratification and treatment. New research suggests that proteomics could improve – or even replace – current techniques for assessing </div> <p class="a-center"><a href="https://somalogic.com/blog/proteomics-and-heart-failure-improving-risk-stratification-and-treatment/" class="btn blue-border">Learn more</a></p> </div> </div><div class="card owl-block white-bg resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/CVD.jpg);" title="Image of older man in jogging clothes looking to the side"> <div> <div class="content"> <h3><span>White paper</span>Detection of low-abundance serum proteins associated with cardiovascular diseases for prognostic purposes</h3> As the leading cause of death in the United States and worldwide, Cardiovascular Disease (CVD) includes a family of diseases that affect the heart and blood vessels. The primary origin of CVD is most often atherosclerotic in nature, in which fatty plaque deposits line arteries and obstruct circulation of blood. The etiology of CVD is multifactorial and is shaped by the interaction of genes and environment and further influenced by age and gender. </div> <p class="a-center"><a href="https://somalogic.com/white-paper/cvd-whitepaper/" class="btn blue-border">Learn more</a></p> </div> </div><div class="card owl-block blue resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/Lanfear-Blog-istock-photo.jpeg);" title="Doctor holding futuristic tablet with a human heart shown on screen"> <div> <div class="content"> <h3><span>Webinar</span>Predicting heart failure using the plasma proteome</h3> To determine whether the plasma proteome adds value to established predictors in heart failure (HF) with reduced ejection fraction (HFrEF). We sought to derive and validate a plasma proteomic risk score (PRS) for survival in patients with HFrEF (HFrEF-PRS). Until recently, proteomics had not been as thoroughly explored partly due to comparatively low-throughput. However, emerging proteomic technologies have recently matured and newer high-throughput techniques now allow larger scale proteomic characterization. One of these newer technological innovations, enhanced aptamer-based assays, has enabled a massively expanded candidate approach that borders on true proteomics in scale; thousands of protein-derived factors can be efficiently assayed simultaneously in a small biologic sample. In this webinar, you will explore this new large-scale protein array using an established HF patient registry to understand how the plasma proteome could meaningfully predict the risk of death or HF worsening and add to best conventional risk stratification, including clinical score and natriuretic peptides. By using the circulating proteome to improve risk prediction, it could add a new tool to help manage patients with HF and contribute to discovery of novel HF markers and pathways. </div> <p class="a-center"><a href="https://somalogic.com/webinar/predicting-heart-failure-using-the-plasma-proteome/" class="btn white-border">Learn more</a></p> </div> </div></div> </div></div> </div> </div><div class="wrap black split-bg " id="wrap_5" title=""> <div class="container"> <div class="grid"><div class="text-block cell-md-6 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" title="Close up of cave wall. Purple and green hues."> <div class="a-center pr-40"><h2>Contact one of<br /> our experts today</h2> <p><a class="btn blue" href="https://share.hsforms.com/1tuK-RnQUQHy0R2pKjyptxw3zbc6" target="_blank" rel="noopener">Contact us</a></p> </div> </div><div class="text-block cell-md-6 cell-offset-md-0 cell-sm-12 cell-offset-sm-0" title="Close up of cave wall. 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