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Biomarkers reflecting insulin resistance increase the risk of aortic stenosis in a population-based study of 10,144 Finnish men

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DataCite Commons2024-12-03 更新2025-01-06 收录
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https://tandf.figshare.com/articles/dataset/Biomarkers_reflecting_insulin_resistance_increase_the_risk_of_aortic_stenosis_in_a_population-based_study_of_10_144_Finnish_men/27951777
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To investigate a comprehensive panel of biomarkers and risk of aortic stenosis (AS) in a prospective population-based study. Anthropometric, metabolic, and inflammatory biomarkers were measured in the Metabolic Syndrome in the Men Study of 10,144 Finnish men without AS at baseline. Cases of AS were identified from the medical records. Cox regression analysis was used to identify variables predicting AS over a follow-up time of 10.8 years. Principal component (PC) analysis was applied to the biomarkers that predicted AS. Cox regression analysis was used to investigate the resulting PCs as AS predictors. AS was diagnosed in 116 men (1.1%), with a median age of 62 years. In Cox regression analyses, fasting, 30 min, and 120 min plasma insulin, and proinsulin, with hazard ratios (HR) ranging from 1.38 (1.12-1.69, <i>p</i> = 2.1E-3) to 1.44 (1.23-1.68, <i>p</i> = 4.0E-6), Matsuda index [HR 0.68 (0.56-0.82, <i>p</i> = 6.9E-5)], and serum C-peptide [HR 1.47 (1.22-1.77, <i>p</i> = 5.0E-5)] were associated with incident AS, in addition to age, systolic blood pressure, BMI, waist circumference, waist/hip ratio, height, body fat mass, fat-free mass, and hs-CRP, and remained significant after adjustments, or if diabetic subjects were excluded. PC 1, consisting of fasting plasma insulin, C-peptide, Matsuda index, waist/hip ratio, and urine albumin excretion, and PC 2, consisting of age, body fat mass, and systolic blood pressure, were significantly associated with AS [HRs 1.37(1.09-1.73) and 1.77 (1.45-2.17), respectively]. Biomarkers reflecting insulin resistance are risk factors for AS, a novel finding indicating that insulin resistance is important in the pathogenesis of AS. Aortic stenosis is an active atherosclerosis-like process that leads to progressive aortic valve calcification and obstruction. The present study showed that insulin resistance and hyperinsulinemia predict aortic stenosis independent of other cardiovascular risk factors, such as diabetes, obesity, and systolic blood pressure, suggesting that insulin resistance is an important factor in the pathogenesis of aortic stenosis. In the present large-scale population-based follow-up study, several biomarkers reflecting hyperinsulinemia and/or insulin resistance, including fasting, 30 minutes, and 120 minutes plasma insulin and proinsulin, Matsuda index, and serum C-peptide, were associated with incident AS, which is to the best of our knowledge a novel finding.Biomarkers of insulin resistance associated with incident AS, even after adjustments for BMI and hypertension, or exclusion of diabetic subjects or those with a nontricuspid aortic valve. In the present large-scale population-based follow-up study, several biomarkers reflecting hyperinsulinemia and/or insulin resistance, including fasting, 30 minutes, and 120 minutes plasma insulin and proinsulin, Matsuda index, and serum C-peptide, were associated with incident AS, which is to the best of our knowledge a novel finding. Biomarkers of insulin resistance associated with incident AS, even after adjustments for BMI and hypertension, or exclusion of diabetic subjects or those with a nontricuspid aortic valve.
提供机构:
Taylor & Francis
创建时间:
2024-12-03
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