Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.
F, K., M, L., M, H., MN, S., CB, W., MS, E., T, R., & J, G. (2026). Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.. Translational stroke research. https://doi.org/10.1007/s12975-026-01477-y
F K, M L, M H, MN S, CB W, MS E, et al. Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.. Translational stroke research. 2026; doi: 10.1007/s12975-026-01477-y
F K, M L, M H, et al. Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.[J]. Translational stroke research. 2026. DOI: 10.1007/s12975-026-01477-y.
@article{f2026,
author = {Khasiyev F and Liu M and Hornig M and Shahrestani MN and Wright CB and Elkind MS and Rundek T and Gutierrez J},
title = {Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.},
journal = {Translational stroke research},
year = {2026},
doi = {10.1007/s12975-026-01477-y},
note = {PMID: 42507057},
}
TY - JOUR AU - Khasiyev F AU - Liu M AU - Hornig M AU - Shahrestani MN AU - Wright CB AU - Elkind MS AU - Rundek T AU - Gutierrez J TI - Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study. T2 - Translational stroke research PY - 2026 DO - 10.1007/s12975-026-01477-y AN - PMID:42507057 ER -
Inflammation contributes to atherosclerosis and vascular remodeling, but the immune pathways associated with distinct carotid ultrasound phenotypes, including carotid intima-media thickness (cIMT), maximal plaque thickness (MPT), and arterial stiffness remain incompletely characterized. We investigated associations between circulating immune biomarkers and carotid ultrasound measures in a stroke-free, multi-ethnic cohort. We analyzed data from 1,134 stroke-free participants (mean age 70 ± 9 years, 59% women, 66% Hispanic) in the Northern Manhattan Study (NOMAS) who underwent high-resolution B-mode carotid ultrasound. cIMT and MPT were measured using automated edge-detection software, while arterial stiffness was assessed via systolic and diastolic diameter measurements, strain, and β-stiffness. Plasma levels of 60 immune biomarkers were quantified using a multiplex immunoassay. Biomarker selection was performed using LASSO, Random Forest, and XGBoost; markers selected by ≥ 2 methods were prioritized. Associations were tested using multivariable linear regression adjusted for age, sex, race/ethnicity, and cardiovascular risk factors (hypertension, hyperlipidemia, diabetes, and smoking). Machine-learning analyses identified partially distinct candidate biomarker profiles for cIMT, MPT, and arterial stiffness. In fully adjusted regression models, greater cIMT was associated with higher IL-4 and leptin levels and lower IL-10, VCAM-1, and SerpinE1 levels. None of the machine-learning-selected biomarkers was independently associated with MPT at the conventional p < 0.05 threshold. Greater arterial stiffness was associated with higher SCF levels, while CXCL10 demonstrated a nonsignificant inverse trend. Models incorporating the selected biomarkers had modestly higher adjusted R² values than models containing clinical covariates alone (cIMT, 0.072 versus 0.109; MPT, 0.134 versus 0.147; arterial stiffness, 0.063 versus 0.075). In a stroke-free, multiethnic cohort, machine-learning analyses identified distinct and overlapping candidate immune biomarker profiles across cIMT, plaque thickness, and arterial stiffness. However, only a subset of selected biomarkers demonstrated independent associations in fully adjusted regression models. These findings support a hypothesis-generating role for inflammatory and immunometabolic pathways in subclinical carotid disease and vascular aging and require validation in longitudinal studies.