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Inter-patient heterogeneity in the hepatic ischemia-reperfusion injury transcriptome: implications for research and diagnostics [MUG data]

ABSTRACT: Background & Aims: Cellular responses induced by surgical procedure or ischemia-reperfusion injury (IRI) may severely alter transcriptome profiles. We have investigated this effect to obtain insight into molecular ischemia responses during surgical procedures and characterize pre-analytical effects impacting on molecular analyses. Methods: 143 non-malignant liver samples were obtained from 30 patients at different time points of ischemia during surgery from two individual cohorts, treated either with the Pringle maneuver or total vascular exclusion. Transcriptomics profiles were analyzed by Affymetrix microarrays and expression of selected mRNAs was validated by RT-qPCR. Results: Transcriptional profiles of both cohorts displayed 179 genes that were mutually deregulated confirming elevated cytokine signaling, and NFkB as the dominant pathways in ischemia response. Contrary to ischemia, reperfusion induced pro-apoptotic and pro-inflammatory cascades involving TNF, NFkB and MAPK pathways. FOS and JUN were down-regulated in steatosis compared to their up-regulation in normal livers. Surprisingly, molecular signatures of underlying primary and secondary cancers were clearly present in the non-tumor tissue. Conclusions: We identified transcripts mutually deregulated during ischemia and reperfusion injury in both cohorts that can be used to monitor ischemia during liver surgery and highlight the importance of pre-analytical quality control. The marked inter-patient variability might reflect differences in individual stress responses and impact of underlying disease conditions. Furthermore, we provide a comprehensive and pre-analytically highly standardized in vivo transcriptome profile of histologically normal liver and identified 230 genes with substantial pre-analytical robustness (<2 % covariation across both cohorts) that might serve as reference genes and could be particularly suited for future diagnostic applications. Conclusions: We identified transcripts mutually deregulated during ischemia and reperfusion injury in both cohorts that can be used to monitor ischemia during liver surgery and highlight the importance of pre-analytical quality control. The marked inter-patient variability might reflect differences in individual stress responses and impact of underlying disease conditions. Furthermore, we provide a comprehensive and pre-analytically highly standardized in vivo transcriptome profile of histologically normal liver and identified 230 genes with substantial pre-analytical robustness (<2 % covariation across both cohorts) that might serve as reference genes and could be particularly suited for future diagnostic applications.

ORGANISM(S): Homo sapiens

PROVIDER: GSE228782 | GEO | 2024/02/21

REPOSITORIES: GEO

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Project description:Background & Aims: Cellular responses induced by surgical procedure or ischemia-reperfusion injury (IRI) may severely alter transcriptome profiles. We have investigated this effect to obtain insight into molecular ischemia responses during surgical procedures and characterize pre-analytical effects impacting on molecular analyses. Methods: 143 non-malignant liver samples were obtained from 30 patients at different time points of ischemia during surgery from two individual cohorts, treated either with the Pringle maneuver or total vascular exclusion. Transcriptomics profiles were analyzed by Affymetrix microarrays and expression of selected mRNAs was validated by RT-qPCR. Results: Transcriptional profiles of both cohorts displayed 179 genes that were mutually deregulated confirming elevated cytokine signaling, and NFkB as the dominant pathways in ischemia response. Contrary to ischemia, reperfusion induced pro-apoptotic and pro-inflammatory cascades involving TNF, NFkB and MAPK pathways. FOS and JUN were down-regulated in steatosis compared to their up-regulation in normal livers. Surprisingly, molecular signatures of underlying primary and secondary cancers were clearly present in the non-tumor tissue. Conclusions: We identified transcripts mutually deregulated during ischemia and reperfusion injury in both cohorts that can be used to monitor ischemia during liver surgery and highlight the importance of pre-analytical quality control. The marked inter-patient variability might reflect differences in individual stress responses and impact of underlying disease conditions. Furthermore, we provide a comprehensive and pre-analytically highly standardized in vivo transcriptome profile of histologically normal liver and identified 230 genes with substantial pre-analytical robustness (<2 % covariation across both cohorts) that might serve as reference genes and could be particularly suited for future diagnostic applications. Conclusions: We identified transcripts mutually deregulated during ischemia and reperfusion injury in both cohorts that can be used to monitor ischemia during liver surgery and highlight the importance of pre-analytical quality control. The marked inter-patient variability might reflect differences in individual stress responses and impact of underlying disease conditions. Furthermore, we provide a comprehensive and pre-analytically highly standardized in vivo transcriptome profile of histologically normal liver and identified 230 genes with substantial pre-analytical robustness (<2 % covariation across both cohorts) that might serve as reference genes and could be particularly suited for future diagnostic applications.

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.