Potential role of new molecular plasma signatures on cardiovascular risk stratification in asymptomatic individuals View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Montserrat Baldan-Martin, Juan A. Lopez, Nerea Corbacho-Alonso, Paula J. Martinez, Elena Rodriguez-Sanchez, Laura Mourino-Alvarez, Tamara Sastre-Oliva, Tatiana Martin-Rojas, Raul Rincón, Eva Calvo, Jesus Vazquez, Fernando Vivanco, Luis R. Padial, Gloria Alvarez-Llamas, Gema Ruiz-Hurtado, Luis M. Ruilope, Maria G. Barderas

ABSTRACT

The evaluation of cardiovascular (CV) risk is based on equations derived from epidemiological data in individuals beyond the limits of middle age such as the Framingham and SCORE risk assessments. Lifetime Risk calculator (QRisk®), estimates CV risk throughout a subjects' lifetime, allowing those. A more aggressive and earlier intervention to be identified and offered protection from the consequences of CV and renal disease. The search for molecular profiles in young people that allow a correct stratification of CV risk would be of great interest to adopt preventive therapeutic measures in individuals at high CV risk. To improve the selection of subjects susceptible to intervention with aged between 30-50 years, we have employed a multiple proteomic strategy to search for new markers of early CV disease or reported CV events and to evaluate their relationship with Lifetime Risk. Blood samples from 71 patients were classified into 3 groups according to their CV risk (healthy, with CV risk factors and with a previously reported CV event subjects) and they were analyzed using a high through quantitative proteomics approach. This strategy allowed three different proteomic signatures to be defined, two of which were related to CV stratification and the third one involved markers of organ damage. More... »

PAGES

4802

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-23037-7

DOI

http://dx.doi.org/10.1038/s41598-018-23037-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101561166

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29555916


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-23037-7'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-23037-7'


 

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