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克服激素测量中的实验室陷阱以提高科学水平。

Improving Science by Overcoming Laboratory Pitfalls With Hormone Measurements.

机构信息

Amsterdam UMC, Vrije Universiteit Amsterdam and University of Amsterdam, Endocrine Laboratory, Department of Clinical Chemistry, Amsterdam Gastroenterology Endocrinology & Metabolism, Amsterdam, Netherlands.

出版信息

J Clin Endocrinol Metab. 2021 Mar 25;106(4):e1504-e1512. doi: 10.1210/clinem/dgaa923.

Abstract

Despite all the effort taken, there is often surprisingly little attention paid to the hormone analyses involved in research studies. Thinking carefully about the quality of the hormone measurements in these studies is, however, of major importance, as this attention to methods may prevent false conclusions and inappropriate follow-up studies. We discuss issues regarding hormone measurements that one should consider, ideally prior to starting, or otherwise, as they arise during a scientific study: quality of the technique, expertise, matrices, timing and storage conditions, freeze-thaw cycles, lot-to-lot and day-to-day variation, analyses per batch or sample-wise, singlicate or duplicate measurements, combining methods, and standardization. This article and the examples mentioned herein aim to clarify the need to pay attention to the hormone analyses, and to help in making decisions. In addition, these examples help editors and reviewers of scientific journals to pay attention to the methods section in the submitted manuscripts and ask the right critical questions when needed.

摘要

尽管已经付出了所有努力,但在研究中,人们往往很少关注涉及的激素分析。然而,仔细考虑这些研究中激素测量的质量非常重要,因为对方法的关注可以防止错误的结论和不恰当的后续研究。我们讨论了在开始之前或在科学研究过程中出现的应考虑的激素测量问题:技术质量、专业知识、基质、时间和储存条件、冻融循环、批内和日间变化、每个批次或样本的分析、单次或重复测量、方法组合和标准化。本文和文中提到的例子旨在阐明需要关注激素分析,并帮助做出决策。此外,这些例子还帮助科学期刊的编辑和审稿人关注提交的手稿中的方法部分,并在需要时提出正确的关键问题。

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