GSE205674: Transcriptomic signatures responding to PKM2 activator TEPP-46 in the hyperglycemic human renal proximal epithelial tubular cells

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GROUP CONDITION SAMPLES
Kidney
GSM6217087 GSM6217088 GSM6217089
GSM6217090 GSM6217091 GSM6217092
Description

Submission Date: Jun 08, 2022

Summary: Pyruvate kinase M2 (PKM2), as the terminal and last rate-limiting enzyme of the glycolytic pathway, is an ideal enzyme for regulating metabolic phenotype. PKM2 tetramer activation has shown a protective role against diabetic kidney disease (DKD). However, the molecular mechanisms involved in diabetic tubular has not been investigated so far. In this study, we performed transcriptome gene expression profiling in human renal proximal tubular epithelial cell line (HK-2 cells) treated with high D-glucose (HG) for 7 days before the addition of 10-μM TEPP-46, an activator of PKM2 tetramerization, for a further 1 day in the presence of HG. Afterwards, we analyzed the differentially expressed (DE) genes and investigated gene relationships based on weighted gene co-expression network analysis (WGCNA). The results showed that 2,902 DE genes were identified (adjusted P-value ≤ 0.05), where 2,509 DE genes (86.46%) were co-expressed in the key module. Four extremely down-regulated DE genes (HSPA8, HSPA2, HSPA1B and ARRB1) and three extremely up-regulated DE genes (GADD45A, IGFBP3 and SIAH1) enriched in the down-regulated endocytosis (hsa04144) and up-regulated p53 signaling pathway (hsa04115), respectively, were validated by the qRT-PCR experiments. The qRT-PCR results showed that the relative expression levels of HSPA8 (adjusted P-value = 4.45×10-34 & log2(FC) = -1.12), HSPA2 (adjusted P-value = 6.09×10-14 & log2(FC) = -1.27), HSPA1B (adjusted P-value = 1.14×10-11 & log2(FC) = -1.02) and ARRB1 (adjusted P-value = 2.60×10-5 & log2(FC) = -1.13) were significantly different (P-value < 0.05) from case group to control group. Furthermore, the interactions and predicted microRNAs of the key genes (HSPA8, HSPA2, HSPA1B and ARRB1) were visualized in networks. This study identified the key candidate transcriptomic biomarkers and biological pathways in the hyperglycemic HK-2 cells responding to the PKM2 activator TEPP-46. These results will be valuable for further research on PKM2 in DKD.

GEO Accession ID: GSE205674

PMID: 36120453

Description

Submission Date: Jun 08, 2022

Summary: Pyruvate kinase M2 (PKM2), as the terminal and last rate-limiting enzyme of the glycolytic pathway, is an ideal enzyme for regulating metabolic phenotype. PKM2 tetramer activation has shown a protective role against diabetic kidney disease (DKD). However, the molecular mechanisms involved in diabetic tubular has not been investigated so far. In this study, we performed transcriptome gene expression profiling in human renal proximal tubular epithelial cell line (HK-2 cells) treated with high D-glucose (HG) for 7 days before the addition of 10-μM TEPP-46, an activator of PKM2 tetramerization, for a further 1 day in the presence of HG. Afterwards, we analyzed the differentially expressed (DE) genes and investigated gene relationships based on weighted gene co-expression network analysis (WGCNA). The results showed that 2,902 DE genes were identified (adjusted P-value ≤ 0.05), where 2,509 DE genes (86.46%) were co-expressed in the key module. Four extremely down-regulated DE genes (HSPA8, HSPA2, HSPA1B and ARRB1) and three extremely up-regulated DE genes (GADD45A, IGFBP3 and SIAH1) enriched in the down-regulated endocytosis (hsa04144) and up-regulated p53 signaling pathway (hsa04115), respectively, were validated by the qRT-PCR experiments. The qRT-PCR results showed that the relative expression levels of HSPA8 (adjusted P-value = 4.45×10-34 & log2(FC) = -1.12), HSPA2 (adjusted P-value = 6.09×10-14 & log2(FC) = -1.27), HSPA1B (adjusted P-value = 1.14×10-11 & log2(FC) = -1.02) and ARRB1 (adjusted P-value = 2.60×10-5 & log2(FC) = -1.13) were significantly different (P-value < 0.05) from case group to control group. Furthermore, the interactions and predicted microRNAs of the key genes (HSPA8, HSPA2, HSPA1B and ARRB1) were visualized in networks. This study identified the key candidate transcriptomic biomarkers and biological pathways in the hyperglycemic HK-2 cells responding to the PKM2 activator TEPP-46. These results will be valuable for further research on PKM2 in DKD.

GEO Accession ID: GSE205674

PMID: 36120453

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