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Metabolites
Volume 11
Issue 6
10.3390/metabo11060407
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Article

Statistical Integration of ‘Omics Data Increases Biological Knowledge Extracted from Metabolomics Data: Application to Intestinal Exposure to the Mycotoxin Deoxynivalenol

by
Marie Tremblay-Franco
1,2,*,
Cécile Canlet
1,2,
Philippe Pinton
1,
Yannick Lippi
1,
Roselyne Gautier
1,2,
Claire Naylies
1,
Manon Neves
1,
Isabelle P. Oswald
1,
Laurent Debrauwer
1,2 and
Imourana Alassane-Kpembi
3
1
Toxalim (Research Center in Food Toxicology), Toulouse University, INRAE, ENVT, INP-Purpan, UPS, 31027 Toulouse, France
2
Metatoul-AXIOM Platform, MetaboHUB, Toxalim, INRAE, 31027 Toulouse, France
3
Department of Veterinary Biomedicine, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
*
Author to whom correspondence should be addressed.
Metabolites 2021, 11(6), 407; https://doi.org/10.3390/metabo11060407
Submission received: 11 May 2021 / Revised: 7 June 2021 / Accepted: 15 June 2021 / Published: 21 June 2021
(This article belongs to the Section Integrative Metabolomics)
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Abstract

The effects of low doses of toxicants are often subtle and information extracted from metabolomic data alone may not always be sufficient. As end products of enzymatic reactions, metabolites represent the final phenotypic expression of an organism and can also reflect gene expression changes caused by this exposure. Therefore, the integration of metabolomic and transcriptomic data could improve the extracted biological knowledge on these toxicants induced disruptions. In the present study, we applied statistical integration tools to metabolomic and transcriptomic data obtained from jejunal explants of pigs exposed to the food contaminant, deoxynivalenol (DON). Canonical correlation analysis (CCA) and self-organizing map (SOM) were compared for the identification of correlated transcriptomic and metabolomic features, and O2-PLS was used to model the relationship between exposure and selected features. The integration of both ‘omics data increased the number of discriminant metabolites discovered (39) by about 10 times compared to the analysis of the metabolomic dataset alone (3). Besides the disturbance of energy metabolism previously reported, assessing correlations between both functional levels revealed several other types of damage linked to the intestinal exposure to DON, including the alteration of protein synthesis, oxidative stress, and inflammasome activation. This confirms the added value of integration to enrich the biological knowledge extracted from metabolomics.
Keywords: mycotoxin exposure 1; transcriptomics 2; metabolomics 3; statistical integration 4 mycotoxin exposure 1; transcriptomics 2; metabolomics 3; statistical integration 4

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MDPI and ACS Style

Tremblay-Franco, M.; Canlet, C.; Pinton, P.; Lippi, Y.; Gautier, R.; Naylies, C.; Neves, M.; Oswald, I.P.; Debrauwer, L.; Alassane-Kpembi, I. Statistical Integration of ‘Omics Data Increases Biological Knowledge Extracted from Metabolomics Data: Application to Intestinal Exposure to the Mycotoxin Deoxynivalenol. Metabolites 2021, 11, 407. https://doi.org/10.3390/metabo11060407

AMA Style

Tremblay-Franco M, Canlet C, Pinton P, Lippi Y, Gautier R, Naylies C, Neves M, Oswald IP, Debrauwer L, Alassane-Kpembi I. Statistical Integration of ‘Omics Data Increases Biological Knowledge Extracted from Metabolomics Data: Application to Intestinal Exposure to the Mycotoxin Deoxynivalenol. Metabolites. 2021; 11(6):407. https://doi.org/10.3390/metabo11060407

Chicago/Turabian Style

Tremblay-Franco, Marie, Cécile Canlet, Philippe Pinton, Yannick Lippi, Roselyne Gautier, Claire Naylies, Manon Neves, Isabelle P. Oswald, Laurent Debrauwer, and Imourana Alassane-Kpembi. 2021. "Statistical Integration of ‘Omics Data Increases Biological Knowledge Extracted from Metabolomics Data: Application to Intestinal Exposure to the Mycotoxin Deoxynivalenol" Metabolites 11, no. 6: 407. https://doi.org/10.3390/metabo11060407

APA Style

Tremblay-Franco, M., Canlet, C., Pinton, P., Lippi, Y., Gautier, R., Naylies, C., Neves, M., Oswald, I. P., Debrauwer, L., & Alassane-Kpembi, I. (2021). Statistical Integration of ‘Omics Data Increases Biological Knowledge Extracted from Metabolomics Data: Application to Intestinal Exposure to the Mycotoxin Deoxynivalenol. Metabolites, 11(6), 407. https://doi.org/10.3390/metabo11060407

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