New insight into the role of isorhamnetin as a regulator of insulin signaling pathway in type 2 diabetes mellitus rat model: Molecular and computational approach.

We intended to examine the molecular mechanism of action of isorhamnetin (IHN) to regulate the pathway of insulin signaling. Molecular analysis, immunofluorescence, and histopathological examination were used to assess the anti-hyperglycemic and insulin resistance lowering effects of IHN in streptozotocin /high fat diet-induced type 2 diabetes using Wistar rats. At the microscopic level, treatment with IHN resulted in the restoration of myofibrils uniform arrangement and adipose tissue normal architecture. At the molecular level, treatment with IHN at three different doses showed a significant decrease in m-TOR, IGF1-R & LncRNA-RP11-773H22.4. expression and it up-regulated the expression of AKT2 mRNA, miR-1, and miR-3163 in both skeletal muscle and adipose tissue. At the protein level, IHN treated group showed a discrete spread with a moderate faint expression of m-TOR in skeletal muscles as well as adipose tissues. We concluded that IHN could be used in the in ameliorating insulin resistance associated with type 2 diabetes mellitus.

Epigenetic modulation of autophagy genes linked to diabetic nephropathy by administration of isorhamnetin in Type 2 diabetes mellitus rats.

Aim: To assess isorhamnetin efficacy for diabetic kidney disease in a Type 2 diabetes mellitus rat model, through investigating its effect at the epigenetic, mRNA and protein levels. Materials & methods: Type 2 diabetes mellitus was induced in rats by streptozotocin and high-fat diet. Rats were treated with isorhamnetin (50 mg/kg/d) for 4 or 8 weeks. Fasting blood glucose, renal and lipid profiles were evaluated. Renal tissues were examined by light and electron microscopy. Autophagy genes (FYCO1, ULK, TECPR1 and WIPI2) and miR-15b, miR-34a and miR-633 were assessed by qRT-PCR, and LC3A/B by immunoblotting. Results: Isorhamnetin improved fasting blood glucose, renal and lipid profiles with increased autophagosomes in renal tissues. It suppressed miRNA regulation of autophagy genes. Conclusion: We propose a molecular mechanism for the isorhamnetin renoprotective effect by modulation of autophagy epigenetic regulators.

Evaluation of urinary autophagy transcripts expression in diabetic kidney disease.

BACKGROUND: We identified and validated novel urinary autophagy markers in diabetic kidney disease (DKD) based on bioinformatics analysis and clinical validation. PATIENTS & METHODS: We retrieved three novel autophagy genes related to DKD from public microarray databases, namely; microtubule-associated protein light chain (MAP1LC3A), WD Repeat Domain, Phosphoinositide Interacting 2 (WIPI2), and RB1-Inducible Coiled-Coil 1 (RB1CC1). Secondly we assessed the expression of the chosen autophagy transcript in urine sediment of 86 patients with DKD and 74 (age and sex matched) controls by reverse transcription quantitative real-time PCR. RESULTS: The urinary expression levels of MAP1LC3A, WIPI, RB1CC1 were significantly lower in DKD than control group (P<0.001).The receiver-operating characteristic curve (ROC) analyses that each urinary autophagy transcript showed high sensitivity and specificity for distinguishing DKD from control (MAP1LC3A, 81.4% and 81.1%; WIPI, 74.4% and 67.6%, and RB1CC1, 81.4%,70.3%, respectively). Notably, a negative correlation was found between these autophagy markers, serum creatinine and urinary albumin creatinine ratio. The sensitivity and specificity of this urinary autophagy based panel reached 90.6% and 60% in diagnosis of DKD. CONCLUSION: We identified and validated a novel diagnostic urinary autophagy based panel with high sensitivity and moderate specificity representing a vital player in the pathogenesis of DKD.

Urinary exosomal microRNA panel unravels novel biomarkers for diagnosis of type 2 diabetic kidney disease.

BACKGROUND: A potential approach adopted in the current study is to design a panel based on in silico retrieval of novel miRNAs related to diabetic kidney disease and to evaluate its usefulness in disease diagnosis. PATIENT AND METHODS: In the current study, we measured the differential expression of a 6 miRNA panel in urine pellet and exosome in an initial screening group using syber green-based PCR array. Also, we performed pathway enrichment analysis of the key target genes of these miRNAs. Finally, we selected the most significantly up-regulated miRNAs in DKD, exosomal miR-15b, miR-34a and miR-636, that were measured by real-time PCR in a larger independent set of 180 participants to evaluate their usefulness as novel urine biomarkers for diagnosis diabetic kidney disease. RESULTS: PCR array analysis showed that miR-15b, miR-34a, and miR-636 were upregulated in both urine pellet and exosome of type 2DKD patients. qRT-PCR validation in the larger independent set of participants confirmed the significant up-regulation of these urinary exosomal miRs (P<0.001). Notably, a positive correlation was found between these miRs, serum creatinine and urinary protein creatinine ratio. The sensitivity of this miRs based panel in urine exosomes reached 100% in diagnosis of DKD. CONCLUSION: We identified urinary exosomal miR-15b, miR-34a, and miR-636 as a novel diagnostic panel and a major contributor in the pathogenesis of diabetic kidney disease.

Clinical verification of a novel urinary microRNA panal: 133b, -342 and -30 as biomarkers for diabetic nephropathy identified by bioinformatics analysis.

BACKGROUND: Because microvascular disease is one of the major drivers of diabetic complications, early detection of diabetic nephropathy (DN) by assessing the expression of exosomal microRNAs (miRNAs) in DN patients and healthy controls, may be of clinical value. The aim of this study wasto identify a novel miRNA panel of DN by combining bioinformatics analysis of miRNA databases and clinical verification to evaluate the significance of this panel as urine biomarkers for type 2 diabetic nephropathy (T2DN). PATIENTS AND METHODS: Public miRNA databases e.g miro-Ontology and miRWalk were analyzed and a novel panel of 3 microRNAs was retrieved. Meanwhile, combinatorial target prediction algorithms were applied. Multiple case-matched normal were examined by quantative RT-PCR for differential expression in urine exosomes from 210 participants, and the three identified miRNAs were validated as DN biomarkers. RESULTS: We found urinary exosomalmiR-133b, miR-342, and miR-30a were expressed at significantly elevated levels in T2DN patients (P<0.001) compared to normal. Furthermore, high-level expression of the 3 miRNAs was associated withHbA1c,systolic-diastolic blood pressure, LDL, serum creatinine, urinary albumin creatinine ratio and estimated glomerular filtration rate(eGFR). Moreover, 39.3%, 19.6% and 17.9% of patients with normo-albuminuria had positive (miR-133b, miR-342 and miR-30a, respectively); indicating the possibility of molecular changes in these patients before onset of albuminuria. CONCLUSION: We have identified novel urinary exosomal miRNA biomarkers of DN which were altered not only in micro and macroalbuminuric groups but also in some normoalbuminuria cases prior to albuminuria.