ArticleScientific reports2024
Serum neurofilament light chain: a novel biomarker for cardiovascular diseases in individuals without hypertension.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Review
- Multiblock proteomic profiling identifies novel biomarkers linking prediabetes with preclinical atherosclerosis in apparently healthy adults.Cardiovascular diabetology · 2026Article
- Associations Between Cardiovascular Risk Factors and Neurofilament Light Levels Among US Mexican American Adults.Brain and behavior · 2026Article
- Cross-sectional associations between lifecourse dementia risk factors, plasma neurodegenerative biomarkers, and cognition in older adults in India.Journal of Alzheimer's disease : JAD · 2026Article
- From Early Adversity to Neurodegeneration: Stress Biomarkers as Predictive Signals for Lifespan Brain Health.International journal of molecular sciences · 2025Review
- Cross-sectional associations between lifecourse dementia risk factors, plasma neurodegenerative biomarkers, and cognition in older adults in India.medRxiv : the preprint server for health sciences · 2025Article
- Should we stay or should we go? Recent insights on drug discontinuation in multiple sclerosis.Neurological research and practice · 2025Review
- A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning.Diagnostics (Basel, Switzerland) · 2025Article
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Abstract
Serum neurofilament light chain (sNFL) is a biomarker for axonal injury. Previous studies have linked sNFL levels to cardiovascular risk factors such as diabetes and hypertension, but its association with cardiovascular diseases (CVD) remains unclear. This study aims to explore the association between sNFL and CVD and evaluates its predictive value. Utilizing NHANES 2013-2014 data, this study included 2,035 participants aged ≥ 20 years with measured sNFL quantified using a Siemens immunoassay. CVD was self-reported and included myocardial infarction, stroke, heart failure, coronary heart disease, or angina. Logistic regression models assessed the association between sNFL levels and CVD. The predictive value of sNFL for CVD was evaluated using area under the curve (AUC) and DeLong test. Participants with higher sNFL levels were typically older, male, non-Hispanic white, smokers, and had lower socioeconomic status, higher CVD, hypertension, and diabetes prevalence. Higher sNFL levels were significantly associated with increased odds of CVD (adjusted OR = 1.41, 95% CI: 1.05-1.88). The association was significant in non-hypertensive individuals (OR = 2.72, 95% CI: 1.61-4.62) but not in hypertensive individuals (OR = 1.13, 95% CI: 0.81-1.56). sNFL addition to traditional risk models improved predictive accuracy, especially in non-hypertensive individuals (AUC from 0.827 to 0.856). sNFL levels are significantly associated with CVD in the general population, with a strong predictive value in non-hypertensive individuals. Future longitudinal studies should validate sNFL's efficacy in various populations and explore the underlying mechanisms of its relationship with hypertension and CVD.
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