Jung Seungyoun, Je Youjin, Giovannucci Edward L, Rosner Bernard, Ogino Shuji, Cho Eunyoung
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Department of Food and Nutrition, Kyung Hee University, Seoul, South Korea.
J Nutr. 2015 Jan;145(1):96-104. doi: 10.3945/jn.114.192716. Epub 2014 Nov 12.
One-carbon metabolism, which is crucial in DNA synthesis and genomic stability, is an interrelated network of biochemical reactions involved in several dietary and lifestyle factors. The development of the homocysteine score using these factors may be useful to reflect the status of one-carbon metabolism in large epidemiologic studies without biologic samples to measure homocysteine directly.
The aim of this study was to develop an homocysteine score that reflects one-carbon metabolism better than individual dietary or lifestyle factors.
We divided 2023 participants with measured plasma total homocysteine data in the Nurses' Health Study and the Health Professionals Follow-Up Study into training (n = 1619) and testing (n = 404) subsets. Using multivariable linear regression, we selected lifestyle determinants of plasma homocysteine in the training set and derived the homocysteine score weighted by the β coefficient for each predictor. The validation of the homocysteine score was assessed using the plasma homocysteine in the independent samples of the training set.
In the training set, smoking, multivitamin use, and caffeine, alcohol, and dietary and supplemental folate intake were significant independent determinants of plasma homocysteine in multivariable linear regression (P ≤ 0.01) and were included in the derivation of the homocysteine score. The Pearson correlation of the homocysteine score with plasma homocysteine was 0.30 in the testing subset (P < 0.001). The homocysteine score was positively associated with the plasma homocysteine concentration in the testing subset and in an independent population of women; the mean difference of plasma homocysteine concentration between the extreme quintiles of homocysteine score ranged from 0.83 μmol/L to 1.52 μmol/L. Population misclassification either from the lowest quintile of plasma homocysteine into the highest quintile of the homocysteine score or from the highest quintile of plasma homocysteine into the lowest quintile of the homocysteine score was ≤12%.
These data indicate that the homocysteine score may be used with relatively inexpensive and simple questionnaires to rank an individual's one-carbon metabolism status when homocysteine data are not available.
一碳代谢在DNA合成和基因组稳定性中至关重要,是一个涉及多种饮食和生活方式因素的生化反应相互关联的网络。利用这些因素开发同型半胱氨酸评分,对于在没有生物样本直接测量同型半胱氨酸的大型流行病学研究中反映一碳代谢状况可能是有用的。
本研究的目的是开发一种比个体饮食或生活方式因素能更好地反映一碳代谢的同型半胱氨酸评分。
我们将护士健康研究和卫生专业人员随访研究中2023名有血浆总同型半胱氨酸测量数据的参与者分为训练组(n = 1619)和测试组(n = 404)。使用多变量线性回归,我们在训练集中选择血浆同型半胱氨酸的生活方式决定因素,并根据每个预测变量的β系数得出加权同型半胱氨酸评分。使用训练集独立样本中的血浆同型半胱氨酸评估同型半胱氨酸评分的有效性。
在训练集中,吸烟、服用多种维生素以及咖啡因、酒精、饮食和补充叶酸的摄入量在多变量线性回归中是血浆同型半胱氨酸的显著独立决定因素(P≤0.01),并被纳入同型半胱氨酸评分的推导中。在测试子集中,同型半胱氨酸评分与血浆同型半胱氨酸的Pearson相关系数为0.30(P < 0.001)。在测试子集和独立的女性人群中,同型半胱氨酸评分与血浆同型半胱氨酸浓度呈正相关;同型半胱氨酸评分极端五分位数之间血浆同型半胱氨酸浓度的平均差异范围为0.83μmol/L至1.52μmol/L。从血浆同型半胱氨酸最低五分位数误分类到同型半胱氨酸评分最高五分位数或从血浆同型半胱氨酸最高五分位数误分类到同型半胱氨酸评分最低五分位数的人群误分类率≤12%。
这些数据表明,当无法获得同型半胱氨酸数据时,同型半胱氨酸评分可与相对便宜且简单的问卷一起用于对个体的一碳代谢状况进行排名。