TY - JOUR
T1 - The role of circulating biomarkers in peripheral arterial disease
AU - Saenz‐pipaon, Goren
AU - Martinez‐aguilar, Esther
AU - Orbe, Josune
AU - Miqueo, Arantxa González
AU - Fernandez‐alonso, Leopoldo
AU - Paramo, Jose Antonio
AU - Roncal, Carmen
N1 - Publisher Copyright:
© 2021 by the authors. Li-censee MDPI, Basel, Switzerland.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Peripheral arterial disease (PAD) of the lower extremities is a chronic illness predomi-nantly of atherosclerotic aetiology, associated to traditional cardiovascular (CV) risk factors. It is one of the most prevalent CV conditions worldwide in subjects >65 years, estimated to increase greatly with the aging of the population, becoming a severe socioeconomic problem in the future. The narrowing and thrombotic occlusion of the lower limb arteries impairs the walking function as the disease progresses, increasing the risk of CV events (myocardial infarction and stroke), amputation and death. Despite its poor prognosis, PAD patients are scarcely identified until the disease is advanced, highlighting the need for reliable biomarkers for PAD patient stratification, that might also contribute to define more personalized medical treatments. In this review, we will discuss the usefulness of inflammatory molecules, matrix metalloproteinases (MMPs), and cardiac damage markers, as well as novel components of the liquid biopsy, extracellular vesicles (EVs), and non-coding RNAs for lower limb PAD identification, stratification, and outcome assessment. We will also explore the potential of machine learning methods to build prediction models to refine PAD assessment. In this line, the usefulness of multimarker approaches to evaluate this complex multi-factorial disease will be also discussed.
AB - Peripheral arterial disease (PAD) of the lower extremities is a chronic illness predomi-nantly of atherosclerotic aetiology, associated to traditional cardiovascular (CV) risk factors. It is one of the most prevalent CV conditions worldwide in subjects >65 years, estimated to increase greatly with the aging of the population, becoming a severe socioeconomic problem in the future. The narrowing and thrombotic occlusion of the lower limb arteries impairs the walking function as the disease progresses, increasing the risk of CV events (myocardial infarction and stroke), amputation and death. Despite its poor prognosis, PAD patients are scarcely identified until the disease is advanced, highlighting the need for reliable biomarkers for PAD patient stratification, that might also contribute to define more personalized medical treatments. In this review, we will discuss the usefulness of inflammatory molecules, matrix metalloproteinases (MMPs), and cardiac damage markers, as well as novel components of the liquid biopsy, extracellular vesicles (EVs), and non-coding RNAs for lower limb PAD identification, stratification, and outcome assessment. We will also explore the potential of machine learning methods to build prediction models to refine PAD assessment. In this line, the usefulness of multimarker approaches to evaluate this complex multi-factorial disease will be also discussed.
KW - Biomarkers
KW - Coagulation
KW - Extracellular vesicles
KW - Inflammation
KW - Machine learning
KW - MicroRNAs
KW - Peripheral arterial disease
UR - https://www.scopus.com/pages/publications/85103233791
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_univeritat_ramon_llull&SrcAuth=WosAPI&KeyUT=WOS:000638632200001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.3390/ijms22073601
DO - 10.3390/ijms22073601
M3 - Review
C2 - 33808453
AN - SCOPUS:85103233791
SN - 1661-6596
VL - 22
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
IS - 7
M1 - 3601
ER -