NRF2 pathway activation reverts high-glucose-induced transcriptional memory in endothelial cells
Wilson-Verdugo, M.; Bustos-Garcia, B.; Adame-Guerrero, O.; Hersch-Gonzalez, J.; Cano-Dominguez, N.; Soto-Nava, M.; Acosta, C.; Tusie-Luna, T.; Avila-Rios, S.; Noriega, L. G.; Valdes, V. J.
Show abstract
Various diabetes complications, including nephropathy, retinopathy, and cardiovascular disease, arise from vascular dysfunction. In this context, it has been observed that past hyperglycaemic events can induce long-lasting transcriptional changes, a phenomenon termed "metabolic memory". Yet, the underlying mechanisms driving these persistent effects are not fully characterized. In this study, we evaluated the genome-wide gene expression and chromatin accessibility alterations caused by transient high glucose exposure in human endothelial cells (ECs). We found that cells exposed to a transient high glucose episode had decreased glycolytic and oxygen consumption rates. Transcriptional profiling indicated that high glucose exposure induced substantial changes in the expression of genes belonging to pathways known to be impaired in diabetes, such as TGF-beta, TNF, FoxO, p53, and NRF2 pathways, many of which were retained after normalization of glucose concentrations. Furthermore, analysis of chromatin accessibility showed that transient hyperglycaemia can induce persistent modifications in the accessibility landscape, with the majority of differentially accessible regions located in non-promoter regions. Some of these regions were identified as putative enhancers with neighbouring genes persistently altered after transient high glucose exposure. Finally, we showed that activation of the NRF2 pathway through either NRF2 overexpression or supplementation with the plant-derived compound sulforaphane, was able to substantially revert the glucose-induced transcriptional memory in ECs. Our findings demonstrate that transient high glucose can induce persistent changes in both the transcriptomic and chromatin accessibility profiles of ECs, and that pharmacological NRF2 pathway activation is able to prevent and revert the high-glucose-induced transcriptional memory. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=173 SRC="FIGDIR/small/557207v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@b9c938org.highwire.dtl.DTLVardef@1498a43org.highwire.dtl.DTLVardef@1146ab5org.highwire.dtl.DTLVardef@169bfca_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Monosodium Urate Crystals regulate a unique JNK-dependent macrophage metabolic and inflammatory response 94%
- Target deconvolution of an insulin hypersecretion-inducer acting through VDAC1 with a distinct transcriptomic signature in beta-cells 93%
- Exercise Training and Cold Exposure Trigger Distinct Molecular Adaptations to Inguinal White Adipose Tissue 93%
Similar papers in this journal
- Cell-autonomous metabolic reprogramming and oxidative stress underlie endothelial dysfunction in acute myocardial infarction 95%
- Single cell transcriptome analysis of cavernous tissues reveals the key roles of pericytes in diabetic erectile dysfunction 95%
- Hyperglycemia-induced cathepsin L maturation: Linking to diabetic comorbidities and COVID-19 mortality 94%
Similar papers in this journal
- The HDAC inhibitor trichostatin A impairs pancreatic β-cell function through an epigenome-wide reprogramming 94%
- Input-output signal processing plasticity of vagal motorneurons in response to cardiac ischemic injury 93%
- Endothelial SIRT3 regulates myofibroblast metabolic shifts in diabetic kidneys 93%
Similar papers in this journal
- EI24-RTRAF interaction represses Nox4 translation, vital for redox balance and insulin production 94%
- Cooperation between CYB5R3 and NOX4 via coenzyme Q mitigates endothelial inflammation 93%
- Nuclear cytoglobin associates with HMGB2 and regulates DNA damage and genome-wide transcriptional output in the vasculature 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.