Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
Cardiovasc Diabetol. 2024 May 7;23(1):158. doi: 10.1186/s12933-024-02242-x.
The association between iron biomarkers and cardiovascular disease risk factors (CVD-RFs) remains unclear. We aimed to (1) evaluate the cross-sectional and longitudinal associations between iron biomarkers (serum ferritin, transferrin saturation (TSAT), transferrin) and CVD-RFs among women, and (2) explore if these associations were modified by menopausal status.
Cross-sectional and longitudinal analyses including 2542 and 1482 women from CoLaus cohort, respectively. Multiple linear regression and multilevel mixed models were used to analyse the associations between Iron biomarkers and CVD-RFs. Variability of outcomes and iron markers between surveys was accessed using intraclass correlation (ICC).
After multivariable adjustment, elevated serum ferritin levels were associated with increased insulin and glucose levels, while higher transferrin levels were linked to elevated glucose, insulin and total cholesterol, and systolic and diastolic blood pressure (p < 0.05). No association was observed between CVD-RFs and TSAT (p > 0.05). Iron biomarkers demonstrated low reliability across reproductive stages but exhibited stronger associations in the perimenopausal group. In longitudinal analysis, we found association only for transferrin with lower glucose levels [β = - 0.59, 95% CI (- 1.10, - 0.08), p = 0.02] and lower diastolic blood pressure [β = - 7.81, 95% CI (- 15.9, - 0.56), p = 0.04].
In cross-sectional analysis, transferrin was associated with several CVD-RFs, and the associations did not change according to menopausal status. Conversely, in the longitudinal analyses, changes in transferrin were associated only with lower glucose and diastolic blood pressure levels. These differences might stem from the substantial longitudinal variation of iron biomarkers, underscoring the need for multiple iron measurements in longitudinal analyses.
铁生物标志物与心血管疾病风险因素(CVD-RFs)之间的关联尚不清楚。我们旨在:(1)评估女性中铁生物标志物(血清铁蛋白、转铁蛋白饱和度(TSAT)、转铁蛋白)与 CVD-RFs 之间的横断面和纵向关联;(2)探索这些关联是否受绝经状态的影响。
分别包括来自 CoLaus 队列的 2542 名和 1482 名女性的横断面和纵向分析。使用多元线性回归和多级混合模型来分析铁生物标志物与 CVD-RFs 之间的关联。使用组内相关系数(ICC)评估结局和铁标记物在两次调查之间的变异性。
在多变量调整后,血清铁蛋白水平升高与胰岛素和葡萄糖水平升高相关,而转铁蛋白水平升高与葡萄糖、胰岛素和总胆固醇以及收缩压和舒张压升高相关(p<0.05)。TSAT 与 CVD-RFs 之间没有关联(p>0.05)。铁生物标志物在生殖阶段之间的可靠性较低,但在围绝经期组中表现出更强的关联。在纵向分析中,我们仅发现转铁蛋白与较低的葡萄糖水平[β= -0.59,95%CI(-1.10,-0.08),p=0.02]和较低的舒张压[β= -7.81,95%CI(-15.9,-0.56),p=0.04]之间存在关联。
在横断面分析中,转铁蛋白与几种 CVD-RFs 相关,且这些关联不因绝经状态而改变。相反,在纵向分析中,转铁蛋白的变化仅与较低的葡萄糖和舒张压水平相关。这些差异可能源于铁生物标志物的大量纵向变化,这强调了在纵向分析中需要多次测量铁的必要性。