Assessing Repeated Urinary Proline Betaine Measures as a Biomarker of Usual Citrus Intake during Pregnancy: Sources of Within-Person Variation and Correlation with Reported Intake.

Assessing Repeated Urinary Proline Betaine Measures as a Biomarker of Usual Citrus Intake during Pregnancy: Sources of Within-Person Variation and Correlation with Reported Intake.
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DOI:
10.3390/metabo13080904
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发表时间:
2023-08-02
期刊:
影响因子:
4.1
通讯作者:
--
中科院分区:
生物学3区
文献类型:
--
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脯氨酸甜菜碱(Pro-B)已被确定为膳食柑橘摄入量的生物标志物,但在其验证中仍存在差距,作为各种生理状态下摄入量的定量预测因子。本研究量化了怀孕期间尿Pro-B浓度的个体内变异(WIV)来源,并评估了其与报告的柑橘类水果和果汁的日常摄入量的相关性。通过1H-NMR光谱法测定了参与MARBLES队列研究的女性在整个妊娠期间采集的现场和24小时尿液样本(n = 255)中的Pro-B浓度。调整后的线性或对数混合效应模型量化WIV和测试潜在的时间连续或升高的Pro-B浓度的预测。Pearson或斯皮尔曼相关性评估了平均重复生物标志物测量值与食物频率问卷报告的通常柑橘摄入量之间的关系。在未校正和校正模型中,WIV引起的尿Pro-B变异比例范围为0.69 - 0.74。在大多数分析中,柑橘季节是Pro-B的重要预测因子(例如,校正β [95%CI]:0.52 [0.16,0.88],对于未标准化的Pro-B),而胎龄仅预测未标准化的Pro-B(校正β [95%CI]:-0.093 [-0.18,-0.0038])。在报告的通常柑橘摄入量和平均重复生物标志物测量值之间发现了中度相关性(rs为0.40至0.42),与使用单一测量值相比,这些相关性更强。鉴于在尿Pro-B中观察到的高度WIV,可能需要每位参与者的多个样本来评估柑橘消费与健康结果之间的关联。
Proline betaine (Pro-B) has been identified as a biomarker of dietary citrus intake, yet gaps remain in its validation as a quantitative predictor of intake during various physiological states. This study quantified sources of within-individual variation (WIV) in urinary Pro-B concentration during pregnancy and assessed its correlation with the reported usual intake of citrus fruit and juice. Pro-B concentrations were determined by 1H-NMR spectroscopy in spot and 24-h urine specimens (n = 255) collected throughout pregnancy from women participating in the MARBLES cohort study. Adjusted linear or log mixed effects models quantified WIV and tested potential temporal predictors of continuous or elevated Pro-B concentration. Pearson or Spearman correlations assessed the relationship between averaged repeated biomarker measures and usual citrus intake reported by food frequency questionnaires. The proportion of variance in urinary Pro-B attributable to WIV ranged from 0.69 to 0.74 in unadjusted and adjusted models. Citrus season was a significant predictor of Pro-B in most analyses (e.g., adjusted β [95% CI]: 0.52 [0.16, 0.88] for non-normalized Pro-B), while gestational age predicted only non-normalized Pro-B (adjusted β [95% CI]: −0.093 [−0.18, −0.0038]). Moderate correlations (rs of 0.40 to 0.42) were found between reported usual citrus intake and averaged repeated biomarker measurements, which were stronger compared to using a single measurement. Given the high degree of WIV observed in urinary Pro-B, multiple samples per participant are likely needed to assess associations between citrus consumption and health outcomes.
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