Abstract
Introduction
Starfish are recognized as interesting source of natural steroid products with pharmaceutical potential. Polar steroid metabolites of starfish have unique chemical structures and exhibit various biological activities but their biological functions are controversial.
Objectives
The objective of this study was to investigate the response of polar steroid metabolome of the starfish Patiria (=Asterina) pectinifera on various environmental factors and stresses.
Methods
Here we first have applied MS-based environmental metabolomics to elucidate the metabolic changes of polar steroid metabolome of starfish. Using HPLC–ESI–Q/TOF–MS approach followed by statistical analysis including principal component analysis and partial least squares discriminant analysis for data classification and potential biomarkers selection, we investigated the changes induced by feeding, injury, variations in water temperature and salinity, and oxygen deficiency.
Results
According to multivariate and univariate statistical analysis the responses to feeding, injury and water heating were better expressed than the others and have some similarity in their action on the steroid metabolome of the starfish P. pectinifera. Most constituents of asterosaponin pool were reduced and most constituents of polyhydroxysteroid and related glycoside pool were increased at that.
Conclusion
Our results indicate that various metabolic changes in polar steroid constituents of P. pectinifera are induced by feeding and stresses. We believe that these responses are connected with biological multifunctionality of these compounds.
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Acknowledgments
The study was supported by the Grant No. 14-04-00341-a from the RFBR. We sincerely thanks to Vasily A. Avilov for help in data preprocessing and Dr. Valery G. Voinov for his assistance in editing this manuscript.
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Popov, R.S., Ivanchina, N.V., Kicha, A.A. et al. LC–MS-based metabolome analysis on steroid metabolites from the starfish Patiria (=Asterina) pectinifera in conditions of active feeding and stresses. Metabolomics 12, 106 (2016). https://doi.org/10.1007/s11306-016-1048-z
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DOI: https://doi.org/10.1007/s11306-016-1048-z