Combined Metabolipidomic and Machine Learning Approach in a Rat Model of Stroke Reveals a Deleterious Impact of Brain Injury on Heart Metabolism.

Abstract

Cardiac complications are frequently found following a stroke in humans whose pathophysiological mechanism remains poorly understood. We used machine learning to analyse a large set of data from a metabolipidomic study assaying 630 metabolites in a rat stroke model to investigate metabolic changes affecting the heart within 72 h after a stroke. Twelve rats undergoing a stroke and 28 rats undergoing the sham procedure were investigated. A plasmatic signature consistent with the literature with notable lipid metabolism remodelling was identified. The post-stroke heart showed a discriminant metabolic signature, in comparison to the sham controls, involving increased collagen turnover, increased arginase activity with decreased nitric oxide synthase activity as well as an altered amino acid metabolism (including serine, asparagine, lysine and glycine). In conclusion, these results demonstrate that brain injury induces a metabolic remodelling in the heart potentially involved in the pathophysiology of stroke heart syndrome.

• Authors: Xavier Dieu, Sophie Tamareille, Aglae Herbreteau, Lucie Lebeau, Juan Manuel Chao De La Barca, Floris Chabrun, Pascal Reynier, Delphine Mirebeau-Prunier, Fabrice Prunier
• Journal: International journal of molecular sciences (Int J Mol Sci) Vol. 24 Issue 15 (Jul 26 2023) ISSN: 1422-0067 [Electronic] Switzerland
• PMID: 37569376 (Publication Type: Journal Article)