In SILICO Simulations Predict a Causative Link Between Increased Glycolysis and Metabolic Reprogramming in Autosomal Dominant Polycystic Kidney Disease

Author(s):  
Roberto Pagliarini ◽  
Alessandra Boletta
2020 ◽  
Vol 15 (4) ◽  
pp. 577-584 ◽  
Author(s):  
Kristen L. Nowak ◽  
Katharina Hopp

Autosomal dominant polycystic kidney disease is characterized by progressive development and enlargement of kidney cysts, leading to ESKD. Because the kidneys are under high metabolic demand, it is not surprising that mounting evidence suggests that a metabolic defect exists in in vitro and animal models of autosomal dominant polycystic kidney disease, which likely contributes to cystic epithelial proliferation and subsequent cyst growth. Alterations include defective glucose metabolism (reprogramming to favor aerobic glycolysis), dysregulated lipid and amino acid metabolism, impaired autophagy, and mitochondrial dysfunction. Limited evidence supports that cellular kidney metabolism is also dysregulated in humans with autosomal dominant polycystic kidney disease. There are notable overlapping features and pathways among metabolism, obesity, and/or autosomal dominant polycystic kidney disease. Both dietary and pharmacologic-based strategies targeting metabolic abnormalities are being considered as therapies to slow autosomal dominant polycystic kidney disease progression and are attractive, particularly given the slowly progressive nature of the disease. Dietary strategies include daily caloric restriction, intermittent fasting, time-restricted feeding, a ketogenic diet, and 2-deoxy-glucose as well as alterations to nutrient availability. Pharmacologic-based strategies include AMP-activated kinase activators, sodium glucose cotransporter-2 inhibitors, niacinamide, and thiazolidenediones. The results from initial clinical trials targeting metabolism are upcoming and anxiously awaited within the scientific and polycystic kidney disease communities. There continues to be a need for additional mechanistic studies to better understand the role of dysregulated metabolism in autosomal dominant polycystic kidney disease and for subsequent translation to clinical trials. Beyond single-intervention trials focused on metabolic reprograming in autosomal dominant polycystic kidney disease, great potential also exists by combining metabolic-focused therapeutic approaches with compounds targeting other signaling cascades altered in autosomal dominant polycystic kidney disease, such as tolvaptan.


Author(s):  
Gobind Ram ◽  
Anil Kumar ◽  
Hemlata ◽  
Gulab Singh ◽  
Shiv Kumar Giri

Abstract Background Autosomal dominant polycystic kidney disease (ADPKD) is frequently inherited disease. The medicinal plant Pedalium murex (P. murex) Linn, that has anti-inflammatory, antiurolithiatic, and diuretic properties, has a greater tendency to cure urinary defects. P. Murex compounds have been studied in order to find an effective treatment against the Vasopressin 2 receptor (V2R), which is a target for ADPKD. The compound structures were designed using ChemSketch software, which was then optimised for the exploration of pharmacokinetic properties. Finally, AutoDock VINA programme was used to execute molecular docking, and the findings were analysed and visualised in Discovery studio visualizer. Results Virtual screening using PyRx software finds seven compounds from P. murex with binding affinities ranging from − 8.6 to − 5.8 kcal/mol, which will be used for further pharmacological characteristics study. Luteolin has a higher druglikeness and an overall drug score of 0.84, indicating as a most suitable compound. Furthermore, luteolin docking and bonding study reveals improved receptor (V2R) H-bonding with Phe105(2.26 and 2.96), Gln119(2.78), and any Lys116(2.16). Conclusions Based on affinity score, screening of various compounds from P. murex against the V2R target for the ADPKD showed that the phytocompound luteolin has superior pharmacological characteristics and bonding. Luteolin from P. murex can be used as a possible therapeutic candidate after rigorous in silico investigation. Graphic abstract


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