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Multiplatform metabolomic fingerprinting as a tool for understanding hypercholesterolemia in Wistar rats

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Abstract

Purpose

The aim was to investigate the impact of hypercholesterolemic diet on the metabolome of male Wistar rats by a multiplatform metabolomic fingerprinting.

Methods

Male Wistar rats were fed with two different diets [control (C) and high-cholesterol diet (HC)—containing 2 % cholesterol and 0.5 % cholic acid]. After 7 weeks of experimental feeding, the rats were euthanized for blood collection and plasma recovery. The metabolite fingerprint was then achieved by applying a multiplatform comprising LC–MS, GC–MS and CE–MS.

Results

Multivariate statistical analysis showed a clear separation between the C and HC groups. Individual differences in metabolites were evaluated using univariate statistical analysis, and multiple metabolites were identified and confirmed in the plasma. A global profiling integrates for the first time pathways affected by high-cholesterol diet intake and allowed us to elucidate some of the associated alterations underlying the hypercholesterolemia event in Wistar rats.

Conclusions

HC feeding stimulated the alteration of multiple pathways in Wistar rats, warning of the risk of developing important diseases, which can be modulated by the diet. Further studies are required to investigate the possibilities to revert or ameliorate the negative effects triggered by HC intake.

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Acknowledgments

The study was supported by the Spanish Ministry of Science and Innovation [AGL2010-15910 (subprogram ALI)] and the Spanish Ministry of Economy and Competitiveness (CTQ2014-55279-R). The following projects are also acknowledged: Program Consolider-Ingenio 2010, FUN-C-FOOD, CSD2007-00063 (Spanish Ministry of Science and Innovation), and ALIBIRD, S2009/AGR-1469 (Comunidad de Madrid).

Conflict of interest

The authors declare no conflict of interest.

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Authors and Affiliations

  1. Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), José Antonio Novais 10, 28040, Madrid, Spain

    Diana González-Peña, Clara Colina-Coca, Begoña de Ancos & Concepción Sánchez-Moreno

  2. Center for Metabolomics and Bioanalysis (CEMBIO), Faculty of Pharmacy, San Pablo CEU University, Boadilla del Monte, 28668, Madrid, Spain

    Danuta Dudzik, Antonia García & Coral Barbas

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  1. Diana González-Peña
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  2. Danuta Dudzik
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Correspondence to Concepción Sánchez-Moreno.

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González-Peña, D., Dudzik, D., Colina-Coca, C. et al. Multiplatform metabolomic fingerprinting as a tool for understanding hypercholesterolemia in Wistar rats. Eur J Nutr 55, 997–1010 (2016). https://doi.org/10.1007/s00394-015-0914-1

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  • DOI: https://doi.org/10.1007/s00394-015-0914-1

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