Université de Reims Champagne-Ardenne (URCA), UMR-I 02 SEBIO, UFR Sciences Exactes et Naturelles, Campus Moulin de La Housse, BP 1039, 51687, Reims, France.
Université de Reims Champagne-Ardenne (URCA), UMR-I 02 SEBIO, UFR Sciences Exactes et Naturelles, Campus Moulin de La Housse, BP 1039, 51687, Reims, France.
J Environ Manage. 2023 Sep 1;341:118049. doi: 10.1016/j.jenvman.2023.118049. Epub 2023 May 13.
The Integrated Biomarker Response (IBR) is one of the most used index in biomonitoring, especially the IBRv2 integrating a reference condition. However, some limitations remain for its routine and large-scale use. The IBRv2 is proportional to the total number of biomarkers, is dependent on the nature of biomarkers and considers all biomarkers modulations, even small and biologically non-significant. In addition, IBRv2 relies on reference values but the references are often different between each study, making it difficult to compare results between studies and/or campaigns. To overcome these limitations, the present work proposed a new index called IBR-T ("Integrated Biomarker Response - Threshold") which considers the threshold values of biomarkers by limiting the calculation of the IBR value to biomarkers with significant modulations. The IBRv2 and the IBR-T were calculated and compared on four datasets from active biomonitoring campaigns using Dreissena polymorpha, a bivalve widely used in freshwater biomonitoring studies. The comparison between indices has demonstrated that the IBR-T presents a better correlation (0.907 < r < 0.998) with the percentage of biomarkers significantly modulated than the IBRv2 (0.002 < r < 0.759). The IBRv2 could not be equal to 0 (0.915 < intercept <1.694) because the value was dependent on the total number of biomarkers, whereas the IBR-T reached 0 when no biomarker was significantly modulated, which appears more biologically relevant. The final ranking of sites was different between the two index and the IBR-T ranking tends to be more ecologically relevant that the IBRv2 ranking. This IBR-T have shown an undeniable interest for biomonitoring and could be used by environmental managers to simplify the interpretation of large datasets, directly interpret the contamination status of the site, use it to decision-making, and finally to easily communicate the results of biomonitoring studies to the general public.
综合生物标志物响应 (IBR) 是生物监测中最常用的指标之一，尤其是整合参考条件的 IBRv2。然而，其常规和大规模使用仍存在一些局限性。IBRv2与生物标志物的总数成正比，取决于生物标志物的性质，并考虑所有生物标志物的调节，即使是小的和生物学上无意义的调节。此外，IBRv2依赖于参考值，但参考值在每个研究中往往不同，这使得难以在研究和/或运动之间比较结果。为了克服这些限制，本工作提出了一个新的指标，称为 IBR-T（“综合生物标志物响应-阈值”），该指标通过将 IBR 值的计算限制在具有显著调节作用的生物标志物上来考虑生物标志物的阈值值。在使用淡水生物监测研究中广泛使用的双壳类贻贝 Dreissena polymorpha 的四个主动生物监测运动数据集上计算并比较了 IBRv2 和 IBR-T。指数之间的比较表明，IBR-T 与显著调节的生物标志物百分比的相关性更好（0.907 < r < 0.998），而 IBRv2 的相关性较差（0.002 < r < 0.759）。由于 IBRv2 的值取决于生物标志物的总数，因此它不能等于 0（0.915 < 截距 < 1.694），而 IBR-T 在没有生物标志物显著调节时达到 0，这似乎更具生物学意义。两个指数之间的站点最终排名不同，IBR-T 排名更具生态相关性，而 IBRv2 排名更具生态相关性。这种 IBR-T 对生物监测表现出不可否认的兴趣，并且可以由环境管理者用来简化对大型数据集的解释，直接解释站点的污染状况，将其用于决策，并最终便于向公众传达生物监测研究的结果。
