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. 2022 Dec;42(12):2201-2215.
doi: 10.1177/0271678X221116288. Epub 2022 Jul 22.

Ischemia preconditioning induces an adaptive response that defines a circulating metabolomic signature in ischemic stroke patients

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Ischemia preconditioning induces an adaptive response that defines a circulating metabolomic signature in ischemic stroke patients

Joaquim Sol et al. J Cereb Blood Flow Metab. 2022 Dec.

Abstract

Transient ischemic attacks (TIAs) before an acute ischemic stroke (AIS) could induce ischemic tolerance (IT) phenomena. with an endogenous neuroprotective role (Ischemic preconditioning. IPC). A consecutive prospective cohort of patients with AIS were recruited from 8 different hospitals. Participants were classified by those with non-previous recent TIA vs. previous TIA (within seven days. TIA ≤7d). A total of 541 AIS patients were recruited. 40 (7.4%). of them had previous TIA ≤7d. In line with IPC. patients with TIA ≤7d showed: 1) a significantly less severe stroke at admission by NIHSS score. 2) a better outcome at 7-90 days follow-up and reduced infarct volumes. 3) a specific upregulated metabolomics/lipidomic profile composed of diverse lipid categories. Effectively. IPC activates an additional adaptive response on increasing circulation levels of structural and bioactive lipids to facilitate functional recovery after AIS which may support biochemical machinery for neuronal survival. Furthermore. previous TIA before AIS seems to facilitate the production of anti-inflammatory mediators that contribute to a better immune response. Thus. the IT phenomena contributes to a better adaptation of further ischemia. Our study provides first-time evidence of a metabolomics/lipidomic signature related to the development of stroke tolerance in AIS patients induced by recent TIA.

Keywords: Transient ischemic attack; acute ischemic stroke; ischemic preconditioning; lipidomics; metabolomics.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Flow diagram of recruited cohort. excluded patients. and the number of final included patients in the metabolomic and lipidomic analysis.
Figure 2.
Figure 2.
Multivariate statistics revealed that suffering a TIA ≤7 days before IS determines specific plasma metabolomics (a); and lipidomics (b) signatures. Previous TIA ≤7d patients are represented in green spots and non-previous TIA in red. PLS-DA cross-validation details are: metabolomics (Accuracy: 0.93. R2: 0.054. Q2: −0.05) and lipidomics (Accuracy: 0.92. R2: 0.063. Q2: −0.03). (c) Graphical visualization of significant differential lipid correlation in non-previous TIA compared to prior TIA ≤7 days patients (d). Each ribbon indicates a significant lipid correlation. Ribbon thickness refers to the degree of correlation (p values for Spearman's correlation <0.01).
Figure 3.
Figure 3.
Euler diagram of differentially expressed metabolites in TIA ≤7d patients (adjusting by etiology) correlating with IS severity indicators (FDR p values for Spearman’s correlation <0.05). aconfirmed by exact mass. retention time. and MS/MS spectrum; bconfirmed by exact mass and retention time. Differentially expressed metabolites in TIA ≤7d patients when adjusted by etiology and age are highlighted in bold.

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