Abstract 4365000: Characterization of Plasma Proteins Associated with Arterial Stiffness and Pressure Pulsatility

Background: Stiffening of large arteries is a key pathophysiologic precursor of micro- and macrovascular disease. Increased arterial stiffness (AoS) and central pressure pulsatility (CPP) can precede the development of atherosclerosis, heart failure, cardiometabolic disease, and renal failure. Further research into the underlying biology of arterial stiffening will improve our ability to target this important risk factor for disease. Proteome-wide evaluation of circulating factors may uncover insights into underlying mechanisms of AoS, as well as markers that modify its risk of disease. Objective: To identify plasma proteins related to and potential mediators of AoS and CPP as potential biomarkers and novel mechanistic mediators Methods: We evaluated 1072 participants from the Framingham Heart Study Generation 2 Exam 10 (2019-2021) who had completed proteomic profiling by SomaScan 7K platform and arterial tonometry measurements of AoS [carotid-femoral pulse wave velocity (CFPWV), augmentation index (AI)] and CPP. Using multiple linear regression, we assessed the association between 7335 detected proteins with (1) inverse-transformed CFPWV and log-transformed (2) CPP and (3) AI. Models were adjusted for either (1) batch and plate, or (2) batch, plate, and age. We subsequently identified proteins significantly associated with CFPWV, AI and CPP by multiplicity-corrected p-value < 0.05. Results: Mean age was 76±7 years, 45% were male. We identified 333 unique proteins significantly associated with elevated CFPWV, AI and CPP (Batch/plate: 319 proteins, Age-adjusted: 57 proteins) and 70 proteins with their reduction (Batch/plate: 62 proteins, Age-adjusted: 26 proteins). Many proteins are endocrine or paracrine factors in pathways important to alteration in the extracellular matrix of arterial vasculature (MMP12, CTSD, CHRDL1, CTSD, TAGLN), vascular calcification (SVEP1, PTN, HTRA1, SOST, MSC, BMP9, DDK2), endothelial dysfunction (FABP3, FABP4, RARRES2, ADAMTS13, PLAT, RSPO1, ANGPTL3, ADIPOQ), and inflammation (CRP, TREM2, LGALS3BP, NEGR1, APCS). Conclusions: We identified numerous circulating proteins strongly associated with change in AoS and CPP, many of which are paracrine and endocrine factors in mechanistic pathways leading to loss of arterial elasticity. Further investigations of these proteins may reveal putative biomarkers of AoS and CPP and new molecular pathways for therapeutic targeting.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4365000
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4365000: Characterization of Plasma Proteins Associated with Arterial Stiffness and Pressure Pulsatility

Ramachandran Srini Vasan, Michelle J. Keyes, Robert E. Gerszten, Emelia J. Benjamin et al.
Circulation
Cardiovascular Health and Disease Prevention
article

Abstract 4365000: Characterization of Plasma Proteins Associated with Arterial Stiffness and Pressure Pulsatility

Ramachandran Srini Vasan, Michelle J. Keyes, Robert E. Gerszten, Emelia J. Benjamin, Mawra Jha, Connie W. Tsao, Gary Mitchell, Samir Zaman
article en

Abstract

Background: Stiffening of large arteries is a key pathophysiologic precursor of micro- and macrovascular disease. Increased arterial stiffness (AoS) and central pressure pulsatility (CPP) can precede the development of atherosclerosis, heart failure, cardiometabolic disease, and renal failure. Further research into the underlying biology of arterial stiffening will improve our ability to target this important risk factor for disease. Proteome-wide evaluation of circulating factors may uncover insights into underlying mechanisms of AoS, as well as markers that modify its risk of disease. Objective: To identify plasma proteins related to and potential mediators of AoS and CPP as potential biomarkers and novel mechanistic mediators Methods: We evaluated 1072 participants from the Framingham Heart Study Generation 2 Exam 10 (2019-2021) who had completed proteomic profiling by SomaScan 7K platform and arterial tonometry measurements of AoS [carotid-femoral pulse wave velocity (CFPWV), augmentation index (AI)] and CPP. Using multiple linear regression, we assessed the association between 7335 detected proteins with (1) inverse-transformed CFPWV and log-transformed (2) CPP and (3) AI. Models were adjusted for either (1) batch and plate, or (2) batch, plate, and age. We subsequently identified proteins significantly associated with CFPWV, AI and CPP by multiplicity-corrected p-value < 0.05. Results: Mean age was 76±7 years, 45% were male. We identified 333 unique proteins significantly associated with elevated CFPWV, AI and CPP (Batch/plate: 319 proteins, Age-adjusted: 57 proteins) and 70 proteins with their reduction (Batch/plate: 62 proteins, Age-adjusted: 26 proteins). Many proteins are endocrine or paracrine factors in pathways important to alteration in the extracellular matrix of arterial vasculature (MMP12, CTSD, CHRDL1, CTSD, TAGLN), vascular calcification (SVEP1, PTN, HTRA1, SOST, MSC, BMP9, DDK2), endothelial dysfunction (FABP3, FABP4, RARRES2, ADAMTS13, PLAT, RSPO1, ANGPTL3, ADIPOQ), and inflammation (CRP, TREM2, LGALS3BP, NEGR1, APCS). Conclusions: We identified numerous circulating proteins strongly associated with change in AoS and CPP, many of which are paracrine and endocrine factors in mechanistic pathways leading to loss of arterial elasticity. Further investigations of these proteins may reveal putative biomarkers of AoS and CPP and new molecular pathways for therapeutic targeting.

CirculationVol. 152(Suppl_3)
Boston University (US), Beth Israel Deaconess Medical Center (US), Beth Israel Deaconess Hospital (US), Center For Social Innovation (US)
Openalex Percentile: Top 52%
Cardiovascular Health and Disease Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.