Associations between adipose tissue-specific insulin resistance and atherosclerotic plaques and burden in community-based population.
Neuroepidemiology
; 2024 Jul 27.
Article
em En
| MEDLINE
| ID: mdl-39068913
ABSTRACT
BACKGROUND:
We aimed to examine the association between adipose tissue specific insulin resistance and atherosclerotic burden and plaques in intracranial, extracranial, and coronary arteries in community residents without diabetes.METHODS:
Adipose tissue specific insulin resistance index (Adipo-IR) was calculated by fasting serum insulin and free fatty acids and categorized into 4 groups according to the quartiles. The 3.0T magnetic resonance imaging (MRI) scanner was used to assess intracranial and extracranial atherosclerotic plaques, while computed tomography angiography (CTA) was used to assess coronary atherosclerotic plaques. Intracranial, extracranial, and coronary atherosclerotic burden was assessed by segmental stenosis segment scores of the corresponding arterial segments, respectively. Binary and ordinal logistic regression models were utilized to investigate the relationship of Adipo-IR with the presence of atherosclerotic plaques and atherosclerotic burden.RESULTS:
Of 2719 participants (mean [SD] age, 60.9 [6.6] years; 1441 [53.0%] women), the prevalence of intracranial atherosclerotic plaques, extracranial atherosclerotic plaques, and coronary plaques were 432(15.9%), 975(35.9%), and 1160 (42.7%), respectively. Compared with individuals with the lowest quartile, participants with the fourth quartile of the Adipo-IR were associated with intracranial atherosclerotic burden (common odds ratio [cOR] 1.35; 95% CI 0.99-1.82), coronary plaque (odds ratio [OR] 1.45; 95% CI 1.15-1.83) and segment stenosis score (cOR 1.44; 95% CI 1.15-1.81) after adjustment for age, sex, and current smoking.CONCLUSION:
Adipose tissue specific insulin resistance is associated with atherosclerotic burden and plaques in intracranial and coronary arteries in Chinese community non-diabetic residents.
Texto completo:
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Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Neuroepidemiology
Ano de publicação:
2024
Tipo de documento:
Article