Stoffel Nicole U, Zeder Christophe, Fort Eloïse, Swinkels Dorine W, Zimmermann Michael B, Moretti Diego
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Clin Chem Lab Med. 2017 Jul 26;55(8):1186-1192. doi: 10.1515/cclm-2017-0097.
Hepcidin is the central systemic regulator of iron metabolism, but its quantification in biological fluids is challenging. Rapid, accurate and user-friendly methods are needed. Our aim was to assess the ability of hepcidin as measured by three different c-ELISA assays to predict iron bioavailability in humans.
The three assays used were commercially available DRG and Peninsula assays and the c-ELISA method performed at Radboud University Medical Centre, Nijmegen, The Netherlands (Hepcidinanalysis.com), validated by comparative measurements with time-of-flight mass spectrometry. We analyzed plasma samples (n=37) selected to represent a broad range of hepcidin concentrations from a subgroup of healthy, iron-depleted women in a study assessing fractional absorption from iron supplements.
In single regressions, all three c-ELISA assays were predictors of fractional iron absorption: R2=0.363 (DRG), R2=0.281 (Peninsula) and R2=0.327 (Hepcidinanalysis.com). In multiple regressions, models including hepcidin measured with either DRG-, Peninsula or Hepcidinanalysis.com explained 55.7%, 44.5% and 52.5% of variance in fractional absorption, and hepcidin was a strong predictor of fractional absorption irrespective of the hepcidin assays used. However, we found significant differences in absolute values for hepcidin between different methods. Both the DRG assay's (y=0.61x+0.87; R2=0.873) and the Peninsula assay's measurements (y=1.88x+0.62; R2=0.770) were correlated with Hepcidinanalysis.com.
The biological variability in plasma hepcidin, (inter-sample CV) was 5-10-fold higher for both the Peninsula and DRG assay than the analytical variably (inter-run within-sample CV) suggesting substantial discriminatory power to distinguish biological hepcidin variation. Between methods, prediction of iron bioavailability in generally healthy iron depleted subjects appears comparable.
铁调素是铁代谢的核心全身调节因子,但其在生物体液中的定量分析具有挑战性。需要快速、准确且用户友好的方法。我们的目的是评估通过三种不同的夹心酶联免疫吸附测定法(c-ELISA)测量的铁调素预测人体铁生物利用度的能力。
所使用的三种测定法分别是市售的DRG测定法和半岛测定法,以及荷兰奈梅亨拉德堡大学医学中心(Hepcidinanalysis.com)采用的c-ELISA方法,该方法通过与飞行时间质谱法的对比测量进行了验证。我们分析了从一项评估铁补充剂分数吸收的研究中选取的血浆样本(n = 37),这些样本代表了健康、缺铁女性亚组中广泛的铁调素浓度范围。
在单变量回归中,所有三种c-ELISA测定法都是铁分数吸收的预测指标:R2 = 0.363(DRG),R2 = 0.281(半岛)和R2 = 0.327(Hepcidinanalysis.com)。在多变量回归中,包含用DRG、半岛或Hepcidinanalysis.com测量的铁调素的模型分别解释了分数吸收中55.7%、44.5%和52.5%的方差,并且无论使用哪种铁调素测定法,铁调素都是分数吸收的强预测指标。然而,我们发现不同方法之间铁调素的绝对值存在显著差异。DRG测定法(y = 0.61x + 0.87;R2 = 0.873)和半岛测定法的测量值(y = 1.88x + 0.62;R2 = 0.770)均与Hepcidinanalysis.com相关。
血浆铁调素的生物学变异(样本间CV)对于半岛测定法和DRG测定法而言比分析变异(批内样本间CV)高5至10倍,这表明区分生物学铁调素变异具有很大的鉴别力。在不同方法之间,一般健康缺铁受试者中铁生物利用度的预测似乎具有可比性。