SardiNIA 人口队列中动脉僵化变化的基因和生物标志物调节作用

N. Asefa, O. Meirelles, Edward Lakatta, E. Fiorillo, A. Scuteri, F. Cucca, Michele Marongiu, A. Delitala, D. Schlessinger, L. Launer
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摘要

动脉僵化(AS)由脉搏波速度(PWV)量化,是由于动脉弹性组织受损和平滑肌功能障碍引起的。我们利用 SardiNIA 队列 [n = 6301;平均基线年龄 43.3 (SD 17.3);58% 为女性] 中的基因型和四个时间点生物标记物数据,研究了脉搏波速度与遗传变异、血脂和炎症生物标记物的纵向联系,以及这些联系如何随着年龄的增长而变化。为了研究脉搏波速度与遗传变异、血脂和炎症生物标志物的关系,我们采用了线性混合模型,并以年龄作为时间尺度。表现出显著纵向关联的生物标志物被分为三等分,第二等分内的个体或具有杂合等位基因的个体被排除在外,从而形成了一个包含 2,000 名个体的队列。该队列进一步分为四个风险组:低遗传和低生物标志物(L-L)、低遗传和高生物标志物(L-H)、高遗传和低生物标志物(H-L)以及高遗传和高生物标志物风险(H-H)。通过使用完整的数据集,我们发现总胆固醇(TC)、甘油三酯(TG)、纤维蛋白原(FGN)和白细胞总数(TWBC)与脉搏波速度有显著的纵向联系,P 均小于 3.33 × 10-3。分组后,与 L-L 组相比,具有 SNP rs3742207 同源风险等位基因和高基线 TG 水平的个体(H-H 组)的脉搏波速度(m/s)高 1.39 倍(95% CI,1.17-1.64,p = 1.21 × 10-4)。同样,rs3742207-TWBC 组合的 H-H 组与 L-L 组相比,脉搏波速度高出 1.75 倍(95% CI,1.48-0.2.07,p = 1.01 × 10-10)。在基于 SNP rs7152623-TWBC 风险的组别中也观察到类似的模式。TG和TWBC生物标志物与脉搏波速度的纵向关联因SNPs rs3742207和rs7152623基因型而异。需要进一步研究遗传学、血脂和炎症生物标志物对脉搏波速度变化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic and biomarker modulation of arterial stiffness change in the SardiNIA population cohort
Arterial stiffness (AS), quantified by pulse wave velocity (PWV), arises due to impaired arterial elastic tissue and smooth muscle dysfunction. We aimed to examine the longitudinal association of genetic, lipid and inflammation biomarkers with PWV and how these associations may change with aging.We utilized genotype and four time-point biomarker data from the SardiNIA cohort [n = 6,301; mean baseline age 43.3 (SD 17.3); 58% females]. To investigate the association of PWV with genetic variants, lipid, and inflammation biomarkers, we employed linear mixed modeling, using age as the time scale. Biomarkers exhibiting significant longitudinal associations were categorized into tertiles and individuals within the second tertile or those with heterozygous alleles were excluded, leaving a cohort of 2,000 individuals. This cohort was further divided into four risk groups: low genetic and low biomarker (L-L), low genetic and high biomarker (L-H), high genetic and low biomarker (H-L), and high genetic and high biomarker risk (H-H). Subsequent analyses focused on these risk groups to assess their association to PWV with time.Using the complete dataset, we found a significant longitudinal association of total cholesterol (TC), triglycerides (TG), fibrinogen (FGN), and total white blood cell count (TWBC) with PWV, all with p < 3.33 × 10−3. After grouping, individuals with homogeneous risk alleles of SNP rs3742207 and high baseline TG levels (H-H group) exhibited a 1.39-fold higher PWV (m/s) (95% CI, 1.17–1.64, p = 1.21 × 10−4) compared to the L-L group. Similarly, individuals in the H-H group of rs3742207-TWBC combination showed 1.75 times higher PWV (95% CI, 1.48–0.2.07, p = 1.01 × 10−10) compared to the L-L group. Similar patterns were observed for groups based on SNP rs7152623-TWBC risk. Furthermore, these associations became more pronounced with increasing age (p < 3.33 × 10−3).The longitudinal association of TG and TWBC biomarkers with PWV varied by SNPs rs3742207 and rs7152623 genotype. Further studies are warranted to investigate the function of genetics, lipids, and inflammation biomarkers on PWV change.
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