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代谢数据对流行病学元分析提出了挑战:来自ECHO联盟的儿童体重指数的案例研究
Nicole Prince1, Donghai Liang2, Youran Tan2
1Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Metabolomics : Official journal of the Metabolomic Society
|January 24, 2024
概括
这种对母体代谢物和后代BMI的元分析在对多重测试进行校正后没有发现任何显著的关联. 该研究强调了代谢流行病学方面的挑战以及对标准化实践的需求.
科学领域:
- 代谢流行病学
- 儿童健康研究 儿童健康研究
- 怀孕生物标志物 怀孕生物标志物
背景情况:
- 分析增加了信心,但由于研究设计和数据采集的变化,在代谢流行病学方面面临着挑战.
- 代谢学研究中的可复制性往往受到不同研究环境中异质性的阻碍.
研究的目的:
- 在怀孕期间识别与2岁后代体重指数 (BMI) 相关的孕产妇血液代谢物.
- 利用元分析框架,在多个群体中调查这些关联.
主要方法:
- 在NIH ECHO计划中,从三个队列 (N=1012个母婴对) 获取雇员调整线性回归总结统计数据.
- 应用了随机效应元分析框架,并通过Benjaminini-Hochberg错误发现率 (FDR) 程序调整了多次测试.
主要成果:
- 在分析中,六种母体代谢物 (阿拉比诺斯,瓜尼迪诺酸盐,3-尿氨基,1-甲基希斯蒂丁,氨酸,氨酸) 与后代的BMI z-score显示了名义关联 (P<0.05).
- 在FDR对多重测试进行校正后,没有任何代谢物关联仍然显著.
结论:
- 尽管样本大小很大 (N>1000对母婴),但在FDR校正后没有发现与后代BMI有显著的母代谢物关联.
- 该研究强调了将元分析框架应用于临床代谢学数据的困难.
- 在代谢流行病学中,需要标准化的方法和最佳实践,以提高研究结果的可靠性和可重复性.
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