Department of Biology, University of Trnava, Priemyselná 4, 918 43, Trnava, Slovak Republic.
Environ Pollut. 2021 Oct 1;286:117192. doi: 10.1016/j.envpol.2021.117192. Epub 2021 Apr 30.
As a reviewer of ca. 50 manuscripts per year submitted to various journals, I often come across questionable metabolic data (both over- or under-estimated) mainly in the journals from the section of Environmental Sciences of Web of Science. Though the trends of visibly incorrect metabolite values may be informative (changes in response to applied treatments or environmental factors), absolute values must be precise enough to allow inter-specific comparison and eventual subsequent calculations. Technical correctness of quantification and calculation of such data is therefore often questionable. One problem arises when calculating metabolites concentration (often nmol or μmol/g of biomass) and another problem is the impact of altered water content on metabolite level (then trend per gram of fresh or dry biomass will differ). Recent discrepancies I found when searching for the literature prompted me to write this technical note aimed at focusing attention of researchers on these problems. I exclude any conflict of interest when discussing the quoted published studies. I strongly urge interested researchers to verify the correctness of metabolite quantification (extraction, dilution/calculation and alternative methods) and also to study similar literature for comparison in order to prevent the spread of incorrect data in the scientific literature.
作为一名每年审阅约 50 篇投稿到不同期刊的文章的评审人,我经常遇到有问题的代谢数据(过高或过低估计),主要出现在 Web of Science 环境科学部分的期刊中。虽然明显不正确的代谢物值的趋势可能具有信息性(对应用处理或环境因素的反应变化),但绝对数值必须足够精确,以允许种间比较和最终的后续计算。因此,这些数据的定量和计算的技术正确性往往值得怀疑。在计算代谢物浓度(通常为 nmol 或 μmol/g 生物质)时会出现一个问题,另一个问题是含水量变化对代谢物水平的影响(然后每克鲜重或干重生物质的趋势会有所不同)。最近在搜索文献时发现的差异促使我撰写了这篇技术说明,旨在引起研究人员对这些问题的关注。在讨论引用的已发表研究时,我排除了任何利益冲突。我强烈敦促有兴趣的研究人员验证代谢物定量的正确性(提取、稀释/计算和替代方法),并研究类似的文献进行比较,以防止错误数据在科学文献中传播。