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Updated: May 26, 2026

Quantitative Analysis and Characterization of Atherosclerotic Lesions in the Murine Aortic Sinus
Published on: December 7, 2013
Risk factors for lacune subtypes in the Atherosclerosis Risk in Communities (ARIC) Study
D C Bezerra1, A R Sharrett, K Matsushita
1danielcbezerra@gmail.com
Insights
Diabetes and HbA1c are linked to smaller lacunar infarcts, while LDL cholesterol is associated with larger ones. These findings differentiate risk factors for cerebral microvascular disease subtypes.
Area of Science:
- Neurology
- Vascular Biology
- Medical Imaging
Background:
- Lacunar infarctions stem from lipohyalinosis and microatheroma.
- Risk factor distinctions between these lacunar infarction subtypes are not well understood.
Purpose of the Study:
- To investigate differing risk factors for lipohyalinotic versus microatheroma lacunar infarction subtypes.
- To test the hypothesis that diabetes and HbA1c are preferentially associated with lipohyalinosis.
Main Methods:
- Cross-sectional analysis of 1,827 participants' brain MRI data from the Atherosclerosis Risk in Communities study.
- Categorization of subcortical lesions by size (≤7 mm for lipohyalinosis, 8-20 mm for microatheroma), including analysis of lesions <3 mm.
- Poisson regression modeling to assess associations between lesion counts and risk factors.
Main Results:
- Smaller lesions (≤7 mm and <3 mm) were associated with diabetes, HbA1c, older age, black ethnicity, hypertension, and smoking.
- Larger lesions (8-20 mm) were associated with older age, hypertension, smoking, and LDL cholesterol.
- Smoking history and LDL cholesterol remained significant for larger lesions in analyses restricted to participants with lesions.
Conclusions:
- Distinct risk factor profiles for small (diabetes, HbA1c) and large (LDL cholesterol) lacunar infarcts support etiological theories.
- Findings enhance understanding of cerebral microvascular disease mechanisms and risk stratification.
Objective:
Lacunar infarctions are mainly due to 2 microvascular pathologies: lipohyalinosis and microatheroma. Little is known about risk factor differences for these subtypes. We hypothesized that diabetes and glycated hemoglobin (HbA(1)c) would be related preferentially to the lipohyalinotic subtype.
Methods:
We performed a cross-section analysis of the brain MRI data from 1,827 participants in the Atherosclerosis Risk in Communities study. We divided subcortical lesions ≤ 20 mm in diameter into those ≤ 7 mm (of probable lipohyalinotic etiology) and 8-20 mm (probably due to microatheroma) and used Poisson regression to investigate associations with the number of each type of lesion. Unlike previous studies, we also fitted a model involving lesions <3 mm.
Results:
Age (prevalence ratio [PR] 1.11 per year; 95% confidence interval [CI] 1.08-1.14), black ethnicity (vs white, PR 1.66; 95% CI 1.27-2.16), hypertension (PR 2.12; 95% CI 1.61-2.79), diabetes (PR 1.42; 95% CI 1.08-1.87), and ever-smoking (PR 1.34; 95% CI 1.04-1.74) were significantly associated with lesions ≤ 7 mm. Findings were similar for lesions <3 mm. HbA(1)c, substituted for diabetes, was also associated with smaller lesions. Significantly associated with 8-20 mm lesions were age (PR 1.14; 95% CI 1.09-1.20), hypertension (PR 1.79; 95% CI 1.14-2.83), ever-smoking (PR 2.66; 95% CI 1.63-4.34), and low-density lipoprotein (LDL) cholesterol (PR 1.27 per SD; 95% CI 1.06-1.52). When we analyzed only participants with lesions, history of smoking (PR 1.99; 95% CI 1.23-3.20) and LDL (PR 1.33 per SD; 95% CI 1.08-1.65) were associated with lesions 8-20 mm.
Conclusions:
Smaller lacunes (even those <3 mm) were associated with diabetes and HbA(1)c, and larger lacunes associated with LDL cholesterol, differences which support long-held theories relating to their underlying pathology. The findings may contribute to broader understanding of cerebral microvascular disease.
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