High-glucose induced toxicity in HK-2 cells can be alleviated by inhibition of miRNA-320c

Glucose metabolism in glioma: an emerging sight with ncRNAs

Glioma is a primary brain tumor that grows quickly, has an unfavorable prognosis, and can spread intracerebrally. Glioma cells rely on glucose as the major energy source, and glycolysis plays a critical role in tumorigenesis and progression. Substrate utilization shifts throughout glioma progression to facilitate energy generation and biomass accumulation. This metabolic reprogramming promotes glioma cell proliferation and metastasis and ultimately decreases the efficacy of conventional treatments. Non-coding RNAs (ncRNAs) are involved in several glucose metabolism pathways during tumor initiation and progression. These RNAs influence cell viability and glucose metabolism by modulating the expression of key genes of the glycolytic pathway. They can directly or indirectly affect glycolysis in glioma cells by influencing the transcription and post-transcriptional regulation of oncogenes and suppressor genes. In this review, we discussed the role of ncRNAs in the metabolic reprogramming of glioma cells and tumor microenvironments and their abnormal expression in the glucometabolic pathway in glioma. In addition, we consolidated the existing theoretical knowledge to facilitate the use of this emerging class of biomarkers as biological indicators and potential therapeutic targets for glioma.

MiRNA-133a-3p Attenuates Renal Tubular Epithelial Cell Injury via Targeting MALM1 and Suppressing the Notch Signaling Pathway in Diabetic Nephropathy

Diabetic nephropathy (DN) is a serious microvascular complication of diabetes characterized by structural and functional changes of kidneys. Human renal tubular epithelial (HK-2) cells are important for kidney recovery post injury and usually used for establishment of DN cell models. The study explored the role of microRNA (miR)-133a-3p in DN cell model and animal model. A cell model for DN was established via high glucose (HG) stimulation to HK-2 cells. Cell viability and apoptotic rate were measured by cell counting kit 8 and flow cytometry. Polymerase chain reaction was performed to quantify levels of miR-133a-3p and targets. Luciferase reporter assay was conducted to verify the binding of miR-133a-3p and MAML1. After establishment of a mouse model of DN, levels of renal function indicators were measured by biochemical analysis. Hematoxylin-eosin and periodic acid-schiff staining of kidney samples were performed to analyze histological changes. Western blotting was conducted to quantify levels of apoptotic markers, MAML1, and factors related to Notch signaling. Results showed that HG induced HK-2 cell apoptosis and the reduction of cell viability. MiR-133a-3p was lowly expressed in HG-stimulated HK-2 cells. Overexpressed miR-133a-3p improved HK-2 cell injury by increasing cell viability and hampering apoptosis under HG condition. In addition, miR-133a-3p directly targets MAML1 3'-untranslated region. MAML1 overexpression countervailed the repressive impact of miR-133a-3p on cell apoptosis in the context of HG. Moreover, miR-133a-3p inhibited the activity of Notch pathway by downregulating MAML1. MiR-133a-3p inhibits DN progression in mice, as evidenced by reduced fasting blood glucose level, improved levels of renal function parameters, and alleviation of kidney atrophy. In conclusion, miR-133a-3p improves HG-induced HK-2 cell injury and inhibits DN progression by targeting MAML1 and inactivating Notch signaling.

MicroRNAs Associated with Metformin Treatment in the Diabetes Prevention Program

The Diabetes Prevention Program (DPP) randomized controlled trial demonstrated that metformin treatment reduced progression to type 2 diabetes (T2D) by 31% compared to placebo in adults with prediabetes. Circulating micro-ribonucleic acids (miRs) are promising biomarkers of T2D risk, but little is known about their associations with metformin regimens for T2D risk reduction. We compared the change in 24 circulating miRs from baseline to 2 years in a subset from DPP metformin intervention (n = 50) and placebo (n = 50) groups using Wilcoxon signed rank tests. Spearman correlations were used to evaluate associations between miR change and baseline clinical characteristics. Multiple linear regression was used to adjust for covariates. The sample was 73% female, 17% Black, 13% Hispanic, and 50 ± 11 years. Participants were obese, normotensive, prediabetic, and dyslipidemic. Change in 12 miR levels from baseline to 2 years was significantly different in the metformin group compared with placebo after adjusting for multiple comparisons: six (let-7c-5p, miR-151a-3p, miR-17-5p, miR-20b-5p, miR-29b-3p, and miR-93-5p) were significantly upregulated and six (miR-130b-3p, miR-22-3p, miR-222-3p, miR-320a-3p, miR-320c, miR-92a-3p) were significantly downregulated in the metformin group. These miRs help to explain how metformin is linked to T2D risk reduction, which may lead to novel biomarkers, therapeutics, and precision health strategies.

MicroRNAs Associated with Metformin Treatment in the Diabetes Prevention Program

The Diabetes Prevention Program (DPP) randomized controlled trial demonstrated that metformin treatment reduced progression to type 2 diabetes (T2D) by 31% compared to placebo in adults with prediabetes. Circulating micro-ribonucleic acids (miRs) are promising biomarkers of T2D risk, but little is known about their associations with metformin regimens for T2D risk reduction. We compared the change in 24 circulating miRs from baseline to 2 years in a subset from DPP metformin intervention (n = 50) and placebo (n = 50) groups using Wilcoxon signed rank tests. Spearman's correlations were used to evaluate associations between miR change and baseline clinical characteristics. Multiple linear regression was used to adjust for covariates. The sample was 73% female, 17% Black, 13% Hispanic, and 50 ± 11 years. Participants were obese, normotensive, prediabetic, and dyslipidemic. Change in 12 miR levels from baseline to 2 years was significantly different in the metformin group compared with placebo after adjusting for multiple comparisons: six (let-7c-5p, miR-151a-3p, miR-17-5p, miR-20b-5p, miR-29b-3p, and miR-93-5p) were significantly upregulated and six (miR-130b-3p, miR-22-3p, miR-222-3p, miR-320a-3p, miR-320c, miR-92a-3p) were significantly downregulated in the metformin group. These miRs help to explain how metformin is linked to T2D risk reduction, which may lead to novel biomarkers, therapeutics, and precision-health strategies.