Remote in vivo stress assessment of aquatic animals with microencapsulated biomarkers for environmental monitoring.
Remote in vivo stress assessment of aquatic animals with microencapsulated biomarkers for environmental monitoring.
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DOI：
10.1038/srep36427
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发表时间：
2016-11-03
影响因子：
4.6
通讯作者：
Timofeyev M
中科院分区：
文献类型：
--
作者：
Gurkov A;Shchapova E;Bedulina D;Baduev B;Borvinskaya E;Meglinski I;Timofeyev M
生理参数的远程体内扫描是医学和动物生理学领域新工具发展的一个主要趋势。为此，各种植入式光学微纳米传感器已被设计用于潜在的医疗应用。同时，在远程生理测量技术的发展中，环境科学的重要领域被忽视了。在环境监测及相关研究领域，不断需要新的高效、快速的水生动物应激评估技术，而开发合适的体内远程生理测量方法可以显著提高该领域分析的精度和通量。在本研究中，我们应用pH敏感的微囊化生物标志物远程监测贝加尔湖特有片脚类动物体内血淋巴的pH，并比较了这种技术在应激评估中的适用性。我们首次展示了在生态相关应激条件下远程检测水生生物生理参数变化的可能性，并展示了在环境监测中使用微胶囊生物标志物进行远程生理测量的技术的适用性。
Remote in vivo scanning of physiological parameters is a major trend in the development of new tools for the fields of medicine and animal physiology. For this purpose, a variety of implantable optical micro- and nanosensors have been designed for potential medical applications. At the same time, the important area of environmental sciences has been neglected in the development of techniques for remote physiological measurements. In the field of environmental monitoring and related research, there is a constant demand for new effective and quick techniques for the stress assessment of aquatic animals, and the development of proper methods for remote physiological measurements in vivo may significantly increase the precision and throughput of analyses in this field. In the present study, we apply pH-sensitive microencapsulated biomarkers to remotely monitor the pH of haemolymph in vivo in endemic amphipods from Lake Baikal, and we compare the suitability of this technique for stress assessment with that of common biochemical methods. For the first time, we demonstrate the possibility of remotely detecting a change in a physiological parameter in an aquatic organism under ecologically relevant stressful conditions and show the applicability of techniques using microencapsulated biomarkers for remote physiological measurements in environmental monitoring.
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影响因子：
3.7
作者：
Axenov-Gribanov D;Bedulina D;Shatilina Z;Jakob L;Vereshchagina K;Lubyaga Y;Gurkov A;Shchapova E;Luckenbach T;Lucassen M;Sartoris FJ;Pörtner HO;Timofeyev M
通讯作者：
Timofeyev M
影响因子：
4.9
作者：
Bedulina, D. S.;Evgen'ev, M. B.;Zatsepina, O. G.
通讯作者：
Zatsepina, O. G.
影响因子：
1.1
作者：
Glenn, Dawn;Pakes, M. Joey;Caldwell, Roy L.
通讯作者：
Caldwell, Roy L.
影响因子：
6.5
作者：
Andersson, Agneta;Meier, H. E. Markus;Ripszam, Matyas;Rowe, Owen;Wikner, Johan;Haglund, Peter;Eilola, Kari;Legrand, Catherine;Figueroa, Daniela;Paczkowska, Joanna;Lindehoff, Elin;Tysklind, Mats;Elmgren, Ragnar
通讯作者：
Elmgren, Ragnar
影响因子：
7.4
作者：
Cash, Kevin J.;Clark, Heather A.
通讯作者：
Clark, Heather A.