铁生物标志物在预测2型糖尿病中的作用:一项国际多队列研究
Farnaz Khatami1, Pien Rawee2, Vlada Hanchar3
1Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland; Community Medicine Department, Tehran University of Medical Sciences, Tehran, Iran.
在现有模型中添加铁生物标志物,如费里和转,可以略微改善2型糖尿病风险预测. 这些生物标志物,特别是费里丁,与糖尿病发病率有积极的关联,提高了人口研究中的预测准确性.
科学领域:
- 内分泌学 在内分泌学.
- 代谢疾病 代谢疾病
- 生物标志物研究 生物标志物研究
背景情况:
- 2型糖尿病 (T2D) 是一个重大的全球健康挑战.
- 现有的T2D风险预测模型往往缺乏全面的预测能力.
- 铁代谢生物标志物已被探索它们在T2D病原发生中的潜在作用.
研究的目的:
- 评估将铁生物标志物纳入已建立的T2D风险预测模型的有效性.
- 为了确定费里丁和转激素水平是否提高T2D风险评估的准确性.
主要方法:
- 使用了来自三个大型基于人口的队列的数据:CoLaus下载PsyCoLaus (瑞士),PREVEND (荷兰) 和EPIPorto (葡萄牙).
- 对7种现有的T2D风险模型添加铁,费里丁和转移素生物标志物的影响进行了评估.
- 在延长的随访期间分析了生物标志物和T2D发病率之间的关联.
主要成果:
- 费里水平与Collaus下列PsyCoLaus和PREVEND队列中的T2D发病率呈现出积极和独立的关联,显著改善了预测.
- 在所有队列和风险模型中,转激素水平与T2D发病率有积极的关联,提高了PREVEND和EPIPorto中的预测.
- 铁含量与T2D发病率之间没有发现显著的关联.
结论:
- 包括费里和转林生物标志物在T2D风险预测模型中提供了适度但显著的改进.
- 费里丁和转素代表了在各种人群中提炼T2D风险分层的宝贵补充.
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