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Integrated transcriptomic and metabolomic analysis reveals the regulatory role of Itaconic acid in inflammatory infiltration during myocardial Ischemia-Reperfusion injury

ABSTRACT:

Following establishment of a myocardial ischemia-reperfusion model, tissue samples from the infarct border zone were harvested for transcriptomics and wide-target metabolomic sequencing. Bioinformatics methods were used to analyse the transcriptomics and metabolomics results separately and to perform a joint analysis.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase, Liquid Chromatography MS - negative - HILIC, Liquid Chromatography MS - positive - reverse phase

PROVIDER: MTBLS12934 | MetaboLights | 2025-10-14

REPOSITORIES: MetaboLights

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Source:

			Action	DRS
	a_MTBLS12934_LC-MS_negative_hilic_metabolite_profiling.txt	Txt
	a_MTBLS12934_LC-MS_negative_reverse-phase_metabolite_profiling.txt	Txt
	a_MTBLS12934_LC-MS_positive_reverse-phase_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS12934_LC-MS_negative_hilic_metabolite_profiling_v2_maf.tsv	Tabular

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Project description:Purpose: Acute kidney injury (AKI) is defined as a sudden event of kidney failure or kidney damage occurring within a short period. Ischemia-reperfusion injury (IRI) is a critical factor to induce severe AKI and end-stage kidney disease in the kidney. However, biological mechanisms of ischemia and reperfusion are not well elucidated due to its complex pathophysiological processes. We aim to investigate key biological pathways affected by ischemia and by reperfusion separately at the transcriptome level. Method: We analyzed steady-state gene expressions using RNA-seq transcriptome data for normal (pre-ischemia), ischemia and reperfusion conditions obtained from the human kidney tissue. A conventional differential expression analysis and self-organizing map (SOM) clustering analysis followed by pathway analysis were performed to identify the underlying biological mechanisms of ischemia and reperfusion. Results: Differential expression analysis showed that metabolism and gap junction-related pathways were dysregulated in ischemia, whereas hypertrophy and immune response-related pathways were dysregulated in reperfusion. In addition, SOM clustering analysis revealed that metabolism, apoptosis, and fibrosis-related pathways were significantly dysregulated by ischemia compared to pre-ischemia. On the other hand, cell growth, migration, and immune response-related pathways were highly dysregulated by reperfusion after ischemia. Pro-apoptotic genes and death receptors were down-regulated during ischemia, indicating a protective process against ischemic injury. Reperfusion induced alteration of genes associated with immune components such as B-cell, neutrophil, and interleukin-15. Additionally, genes related to cell growth and migration such as AKT, KRAS, and Rho signaling were down-regulated, which might imply injury responses during reperfusion. Semaphorin 4D and plexin B1 were also down-regulated. However, further investigations are needed to identify their roles. Conclusion: We showed that specific biological pathways were distinctively involved in ischemia and reperfusion during IRI, suggesting that condition-specific therapeutic strategies may be required to prevent severe kidney damage after IRI in clinical research.

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Integrated transcriptomic and metabolomic analysis reveals the regulatory role of Itaconic acid in inflammatory infiltration during myocardial Ischemia-Reperfusion injury

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