The association between serum inflammatory biomarkers and incident hypertension among postmenopausal women in the Buffalo OsteoPerio Study.

The association between serum inflammatory biomarkers and incident hypertension among postmenopausal women in the Buffalo OsteoPerio Study.
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布法罗骨周研究中绝经后妇女血清炎症生物标志物与高血压发病率之间的关系

DOI:
10.1038/s41371-020-00422-2
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发表时间:
2021-09
影响因子:
2.7
通讯作者:
Wactawski-Wende J
Wactawski-Wende J
中科院分区:
医学4区
文献类型:
--
作者:
Gordon JH;LaMonte MJ;Zhao J;Genco RJ;Cimato TR;Hovey KM;Andrews CA;Wactawski-Wende J

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在横断面研究中,几种血清炎症生物标志物与血压和高血压患病率相关。这些关联很少进行前瞻性评估。我们在布法罗OsteoPerio研究中检测了471名绝经后妇女(平均年龄= 65岁)的10种血清炎症生物标志物与高血压事件的相关性。采用多重夹心免疫分析法对基线(1997-2001年)采集的空腹血清样本测定C反应蛋白、白细胞介素(IL)-2、IL-4、IL-6、IL-8、IL-10、肿瘤坏死因子(TNF)-α、单核细胞趋化蛋白(MCP)-1、脂联素和瘦素的浓度。偶发性高血压(195例)定义为在随访期间(平均10年)通过每年邮寄的健康调查确定的医生诊断的高血压和药物治疗。使用考克斯回归估计对数转换生物标志物(每1-SD)与高血压之间的风险比(HR)和95%置信区间(CI)。当调整年龄时,瘦素与高血压风险显著相关(HR=1.55,95%CI:1.04,2.29),然而,在调整人口统计学和生活方式因素(包括BMI)后,这种相关性减弱且不显著。显著(P<0.10)观察到吸烟的相互作用(从不,永远)与CRP(HR:从未,1.31;曾经,0.91; P=0.06)和MCP-1(HR:从未,0.59;曾经,5.11; P=0.004);对于BMI(<25,≥25)使用MCP-1(HR:<25,3.45; ≥25,0.95; P=0.07);对于收缩压,使用IL-10(HR:<120,0.85; 120-139,1.11; P=0.07); MCP-1(HR:<80,1.29; 80-89,0.84; P=0.03)和脂联素(HR:<80,0.86; 80-89,1.50; P=0.03)对舒张压的影响。这项研究增加了对几种血清炎症生物标志物与老年绝经后妇女高血压风险之间的前瞻性关联的理解,其中高血压负担很大。
Several serum inflammatory biomarkers have been associated with blood pressure and hypertension prevalence in cross-sectional studies. Few of these associations have been evaluated prospectively. We examined associations for 10 serum inflammatory biomarkers with incident hypertension among 471 postmenopausal women (mean age = 65) in the Buffalo OsteoPerio Study. Concentrations of C-reactive protein, interleukin (IL)-2, IL-4, IL-6, IL-8, IL-10, tumor necrosis factor (TNF)-α, monocyte chemoattractant protein (MCP)-1, adiponectin, and leptin were measured using multiplexed sandwich immunoassays on fasting serum samples collected at baseline (1997–2001). Incident hypertension (195 cases) was defined as physician-diagnosed hypertension and treatment with medication identified on annual mailed health surveys during follow-up (mean 10 years). Cox regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) between log-transformed biomarkers (per 1-SD) and hypertension. When adjusted for age, leptin was significantly associated with hypertension risk (HR=1.55, 95% CI: 1.04, 2.29), however, the association was attenuated and not significant after adjustment for demographic and lifestyle factors, including BMI. Significant (P<0.10) interactions were observed for smoking (never, ever) with CRP (HR: Never, 1.31; Ever, 0.91; P=0.06) and MCP-1 (HR: Never, 0.59; Ever, 5.11; P=0.004); for BMI (<25, ≥25) with MCP-1(HR: <25, 3.45; ≥25, 0.95; P=0.07); for systolic BP with IL-10 (HR: <120, 0.85; 120–139, 1.11; P=0.07); and for diastolic BP with MCP-1 (HR: <80, 1.29; 80–89, 0.84; P=0.03) and with adiponectin (HR: <80, 0.86; 80–89, 1.50; P=0.03). This study adds needed understanding on prospective associations between several serum inflammatory biomarkers and hypertension risk in older postmenopausal women, among whom hypertension burden is substantial.
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