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Article

Myricitrin, a Glycosyloxyflavone in Myrica esculenta Bark Ameliorates Diabetic Nephropathy via Improving Glycemic Status, Reducing Oxidative Stress, and Suppressing Inflammation

1
Advanced Pharmacognosy Research Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India
2
Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, India
3
Department of Chemical Technology, University of Calcutta, Kolkata 700009, India
4
Department of Pharmacy, University of Salerno, 84084 Fisciano, Italy
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Molecules 2021, 26(2), 258; https://doi.org/10.3390/molecules26020258
Submission received: 7 December 2020 / Revised: 31 December 2020 / Accepted: 1 January 2021 / Published: 6 January 2021

Abstract

:
The present study evaluated the therapeutic potential of myricitrin (Myr), a glycosyloxyflavone extracted from Myrica esculenta bark, against diabetic nephropathy. Myr exhibited a significant hypoglycemic effect in high fat-fed and a single low-dose streptozotocin-induced type 2 diabetic (T2D) rats. Myr was found to improve glucose uptake by the skeletal muscle via activating IRS-1/PI3K/Akt/GLUT4 signaling in vitro and in vivo. Myr significantly attenuated high glucose (HG)-induced toxicity in NRK cells and in the kidneys of T2D rats. In this study, hyperglycemia caused nephrotoxicity via endorsing oxidative stress and inflammation resulting in the induction of apoptosis, fibrosis, and inflammatory damages. Myr was found to attenuate oxidative stress via scavenging/neutralizing oxidative radicals and improving endogenous redox defense through Nrf-2 activation in both in vitro and in vivo systems. Myr was also found to attenuate diabetes-triggered renal inflammation via suppressing NF-κB activation. Myr inhibited hyperglycemia-induced apoptosis and fibrosis in renal cells evidenced by the changes in the expressions of the apoptotic and fibrotic factors. The molecular docking predicted the interactions between Myr and different signal proteins. An in silico absorption, distribution, metabolism, excretion, and toxicity (ADMET) study predicted the drug-likeness character of Myr. Results suggested the possibility of Myr to be a potential therapeutic agent for diabetic nephropathy in the future.

1. Introduction

Type 2 diabetes mellitus (T2D) is a chronic metabolic syndrome accounting for 90–95% of the total diagnosed cases of diabetes mellitus [1]. The number of T2D cases is increasing steadily around the world [2]. It is characterized by hyperglycemia which is caused due to the establishment of insulin resistance, decrease in insulin production, and eventually loss of β-cell function [3]. Persistent hyperglycemia, hypertension, and dyslipidemia in T2D collectively impart gluco-lipo toxicity resulting in a number of slowly or rapidly growing pathological occurrences to the critical organs, which are the major causes of mortality in T2D [4]. Diabetic nephropathy or diabetic kidney disease is the most common T2D complication affecting around 40% of T2D patients [5]. Diabetic nephropathy is a multifunctional degenerative syndrome characterized by albuminuria, glomerular lesions, tubulointerstitial fibrosis, and loss of renal filtration rate. Emerging evidence revealed that high glucose-provoked oxidative stress and inflammation play crucial roles in the development and progression of diabetic nephropathy via endorsing apoptosis, fibrosis, and other pathological changes [6]. Since hyperglycemia is the primary contributor to diabetic nephropathy, glycemic control would remain the major therapeutic strategy against diabetic nephropathy [7]. In addition, several anti-inflammatory agents, such as indomethacin, naproxen, mycophenolate mofetil, and retinoic acid conferred protective roles in attenuating diabetes-provoked renal injury [2,8]. Moreover, several antioxidants such as silymarin, bardoxolone methyl, and vitamin C in combination with vitamin E, and pyridoxamine, were found to be clinically successful in alleviating diabetic nephropathy [9,10]. Thus, it would be hypothesized that an antidiabetic agent simultaneously possessing anti-inflammatory and antioxidant effects would serve as an effective therapeutic agent in diabetic nephropathy. Naturally occurring plant-derived secondary metabolites have been known to possess a broad spectrum of pharmacological effect. Thus, there is a scope to develop potential therapeutic agents from plant-derived molecules to be effective against T2D and T2D-associated complications.
Myrica esculenta Buch.-Ham. ex D. Don. (Myricaceae) is an evergreen tree growing in hilly regions of north eastern India and Nepal. Different parts of M. esculenta are widely used in Ayurveda against several ailments including diabetes, inflammatory diseases, and infections [11]. M. esculenta bark extract is known for anti-inflammatory, antimicrobial, wound healing, and antioxidant effects [11,12,13]. Myricitrin (Myr) (Figure 1), a glycosyloxyflavone, was isolated from the bark extract of M. esculenta. The present investigation was undertaken to evaluate the protective effect of Myr against diabetic nephropathy. Special attention was given to reveal the molecular mechanism behind the protective effect of Myr using suitable in vitro and in vivo preclinical assays. Finally, in silico absorption, distribution, metabolism, excretion, and toxicity (ADMET) and molecular docking analyses were executed to predict the drug likeliness and the interactions between Myr and signal proteins.

2. Results

2.1. In Vitro Assays

2.1.1. Effect on Glucose Uptake In Vitro

Skeletal muscle plays a key role in glucose metabolism. In this study, the effect of Myr treatment on the D-glucose uptake by rat skeletal (L6) myoblast was measured. The effect of Myr on the signal proteins involved in glucose metabolism in the L6 myoblast was estimated. A set of L6 cells cultured with 5.5 mM glucose served as a control (HG−), and the glucose utilization of the HG− set was assigned to 100%. High glucose (HG) caused a ⁓40% reduction in glucose uptake (p < 0.01) by L6 myoblast, while Myr (20, 30, and 50 µM) treatment significantly reversed (p < 0.05–0.01) the suppression of glucose utilization by the L6 cells (Figure 2a). The optimum effect of Myr was observed at the dose of 30 µM, at which Myr exhibited glucose utilization of ⁓87% (p < 0.01) by HG-exposed L6 myotubes. Based on the observed effect in the glucose uptake study, Myr at 30 µM was chosen as the optimum dose for studying the effect on the signal proteins involved in glucose uptake by the skeletal muscle cells (Figure 2b,c). In this study, HG treatment caused suppression (⁓0.4-fold, p < 0.01) of phosphoinositide 3-kinases (PI3K) (p 85) expression in murine skeletal muscle cells (Figure 2c). Phosphorylation of insulin receptor substrate 1 (IRS-1) and protein kinase B (Akt) proteins was downregulated in HG-exposed L6 myoblast (Figure 2c). Thus, considerably low P-IRS-1/total IRS (⁓0.4-fold, p < 0.01) and P-Akt/total Akt (⁓0.6-fold, p < 0.01) ratios were observed in the HG-treated L6 myoblast (Figure 2c). In addition, HG treatment caused downregulation (⁓0.5-fold, p < 0.01) in the expression of glucose transporter type 4 (GLUT4) in the membrane in murine myoblast, which signified the suppression of GLUT4 translocation to the membrane (Figure 2c). In contrast, Myr (30 µM) reciprocated (p < 0.01) HG-provoked reduction in the expression of PI3K, P-IRS-1, P-Akt, and GLUT4 (in the membrane) in L6 myoblast (Figure 2c). No major change was observed in the expression of either of the signal proteins in Myr-treated murine skeletal muscle cells cultured in HG-condition.

2.1.2. Effect of Myr on HG-induced Cytotoxicity in Kidney Cells

In this study, the concentration and time-dependent cytotoxic effects of D-glucose on murine kidney cells were estimated to optimize the glucose concentration and exposure time for an in vitro diabetic nephropathy model. The normal rat kidney (NRK) cells were exposed to different concentrations of D-glucose (5.5, 10, 20, 30, 40 mM) for 72 h. D-glucose at 5.5 mM served as the control (HG−), and the cell viability was assigned to 100%. D-glucose caused the loss of cell viability in a concentration-dependent manner with a maximum reduction of ⁓46% (p < 0.01) at 40 mM (Figure 3a). To optimize the exposure time, NRK cells were incubated with 30 mM of D-glucose for 6, 12, 24, 48, and 72 h. A gradual decrease in the viability of NRK cells was observed over time, with substantial (p < 0.05–0.01) differences between 24 and 72 h and a maximum reduction of ⁓39% (p < 0.01) at 72 h (Figure 3b). On the basis of the observed effects, the concentration of D-glucose of 30 mM and an incubation time of 48 h were chosen as optimum dose and exposure time, respectively, for in vitro model of diabetic nephropathy. To observe the effect of Myr (alone) on the viability of murine kidney cells, NRK cells were exposed to different concentrations of Myr (10, 20, 30, and 50 µM). No substantial change was observed in the viability of NRK cells (Figure 3c). To investigate the effect of Myr on HG-induced renal cell injury, NRK cells were incubated D-glucose (30 mM) with or without Myr (30 µM) for 48 h. The cell viability in the control set was assigned 100% (Figure 3d). HG caused a reduction (⁓40%, p < 0.01) in the viability of NRK cells. In contrast, Myr treatment rescued (p < 0.01) the HG-induced decrease in the cell viability of NRK cells (Figure 3d). Hoechst nuclear staining was executed to visualize the protective effect of Myr in HG-induced cytotoxicity in NRK cells (Figure 3e). In this study, HG (30 mM) caused a substantial reduction in the number of visible nuclei and the presence of apoptotic nuclei characterized by nuclear fragmentation, condensation, and shrinkage (Figure 3e). In contrast, Myr (30 µM) treatment attenuated a HG-induced decrease in the nuclear count and restored nuclear morphology to near normal status (Figure 3e).

2.1.3. Effect on Redox Status in Kidney Cells

HG (30 mM) caused a substantial (p < 0.01) increase in reactive oxygen species (ROS) accumulation in NRK cells evidenced by an increase in 2’,7’-dichlorodihydrofluorescein (DCF) fluorescence as compared to the control (Figure 4a). The respective fluorescence was quantified to estimate the quantity of intracellular ROS level (Figure 4b). In this study, HG-treated NRK cells exhibited a ⁓9.1-fold (p < 0.01) increase in ROS accumulation as compared to the control (Figure 4b). The HG also caused a ⁓8.6- (p < 0.01) and ⁓2.5-fold (p < 0.01) increase in the levels of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase and nitric oxide (NO) in NRK cells, respectively (Figure 4c,d). Consequently, the degree of lipid peroxidation and the extent of protein carbonylation were increased to ⁓1.6- (p < 0.01) and ⁓2.1-fold (p < 0.01), respectively, in HG-exposed NRK cells (Figure 4e,f). In contrast, Myr (30 µM) treatment could attenuate (p < 0.01) HG-induced increase in the levels of ROS, NADPH oxidase, NO, thiobarbituric acid reactive substances (TBARS), and carbonylated proteins in NRK cells (Figure 4a–f). HG treatment also reduced (p < 0.01) the levels of endogenous antioxidant enzymes, such as catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPx), and glutathione S-transferase (GST) in murine renal cells (Figure 4g–j). On the other hand, Myr (30 µM) treatment improved (p < 0.01) the levels of endogenous antioxidant enzymes in HG-exposed NRK cells to near normal status (Figure 4g–j). In addition, HG treatment caused ⁓0.7- (p < 0.01) and ⁓0.3-fold (p < 0.01) reductions in reduced glutathione (GSH) level and redox ratio (GSH/GSSG) in NRK cells, respectively (Figure 4k,l). However, Myr (30 µM) treatment could rescue (p < 0.01) the HG-induced decrease in GSH level and redox ratio in NRK cells to near normal status (Figure 4k,l). The cells incubated with Myr (30 µM) under the control (HG−) condition did not show any substantial change in either of the aforementioned redox parameters (Figure 4).

2.1.4. Effect on Signal Transduction in Kidney Cells

In this study, HG (30 mM) treatment induced apoptosis to murine renal cells in vitro, evidenced by the activation (p < 0.01) of protein expressions of B-cell lymphoma 2-associated death promoter (Bad) in the mitochondria, cytochrome C (Cyt C) in the cytosol, cleaved caspase 9, and cleaved caspase 3 with concomitant downregulation (p < 0.01) in the expression of B-cell lymphoma 2 (Bcl-2) protein (Figure 5a,b). On the other hand, Myr (30 µM) treatment could suppress HG-induced apoptosis in NRK cells by reciprocating (p < 0.01) the expression of the aforementioned signal proteins involved in the apoptosis pathway (Figure 5a,b). HG (30 mM) treatment enhanced the expressions of phosphorylated nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor (P-IκBα) in the cytosol to ⁓3.1 folds (p < 0.01) and phosphorylated nuclear factor kappa-light-chain-enhancer of activated B cells (P-NF-κB) to ⁓2.7 folds (p < 0.01) in the nucleus, which signified the induction of inflammation in HG-exposed NRK cells (Figure 5c,d). In contrast, Myr (30 µM) treatment could reduce HG-induced inflammation by reducing the expressions of P-IκBα (p < 0.01) in the cytosol and P-NF-κB (p < 0.01) in the nucleus (Figure 5c,d). In addition, HG suppressed nuclear factor erythroid 2-related factor 2 (Nrf-2) signaling of endogenous redox defense evidenced by a ⁓0.4-fold (p < 0.01) reduction in phosphorylated-Nrf-2 (P-Nrf-2) expression in the nucleus and ⁓2.7-fold (p < 0.01) activation of Kelch-like ECH-associated protein 1 (Keap1) expression in the cytosol (Figure 5e,f). In contrast, Myr (30 µM) treatment could endorse redox defense in NRK cells by upregulating (p < 0.01) Nrf-2 signaling (Figure 5e,f). In this study, HG (30 mM) endorsed fibrosis to NRK cells, evidenced by the activation (p < 0.01) of transforming growth factor-beta 1 (TGF-β1), phosphorylated mothers against decapentaplegic homolog 3 (P-Smad3), and collagen-IV and suppression (p < 0.01) of mothers against decapentaplegic homolog 7 (Smad7) protein (Figure 5g,h). On the other hand, Myr (30 µM) treatment could attenuate HG-induced fibrosis in NRK cells by reciprocating the expressions of the aforementioned fibrotic factors (Figure 5g,h). The cells incubated with Myr (30 µM) under the control (HG−) condition did not show any considerable change in either of the aforementioned signaling events (Figure 5).

2.2. In Vivo Assays

2.2.1. Effect on Fasting Blood Glucose Level, Body Mass Gain, Foods, and Water Intake

In this study, T2D rats exhibited significantly high (p < 0.01) fasting blood glucose levels when compared with normal rats (Figure 6a). In contrast, Myr (300 mg/kg) treatment reduced (p < 0.05–0.01) fasting blood glucose level with a maximum decrease of ⁓35.1% (p < 0.01) on day 28 (Figure 6a). The T2D rats also exhibited an increase (p < 0.05–0.01) in body mass gain when compared to normal rats (Figure 6b). On day 28, T2D rats exhibited a ⁓2-fold increase in body mass gain when compared to normal rats. In contrast, Myr (300 mg/kg) treatment reciprocated (p < 0.05–0.01) body mass gain on day 14th after the therapeutic schedule as compared to T2D rats (Figure 6b). In this study, T2D rats exhibited the signs of polyphagia and polydipsia evidenced by the elevation (p < 0.01) in the food and water intakes when compared with normal rats (Figure 6c,d). However, Myr (300 mg/kg) treatment reversed polyphagia (p < 0.05–0.01) and polydipsia (p < 0.01) on day 14th after the therapeutic schedule compared to T2D rats (Figure 6c,d). The non-diabetic rats that received Myr (300 mg/kg) did not show any significant change in fasting blood glucose level, body weight, food consumption, or water intake as compared to vehicle-treated non-diabetic rats (normal control) (Figure 6).

2.2.2. Effects on Serum Insulin Level, HOMA-IR, and HOMA-β

In this study, T2D rats exhibited a ⁓2.6-fold (p < 0.01) increase in fasting blood glucose level with concomitant ⁓0.7-fold reduction (p < 0.01) in serum insulin level on day 29 when compared with normal rats (Figure 7a,b). In contrast, Myr (300 mg/kg) treatment caused the reversal (p < 0.01) of hyperglycemia and hypoinsulinemia in T2D rats (Figure 7a,b). In this study, the homeostatic model assessment (HOMA) was executed to evaluate β-cell function (HOMA-β) and insulin resistance (HOMA-IR). Almost a 1.8-fold (p < 0.01) increase in HOMA-IR score in T2D rats compared to normal rats signified the establishment of insulin resistance in T2D rats (Figure 7c). In this study, ⁓0.3-fold reduction in HOMA-β score in T2D rats compared to normal rats suggested the reduction in β-cell functions (Figure 7d). On the other hand, Myr (300 mg/kg) treatment could reduce (p < 0.01) HOMA-IR and improved (p < 0.01) HOMA-β scores in T2D rats, which inferred that Myr could reciprocate insulin resistance and restored β-cell functions in T2D rats (Figure 7c,d). The non-diabetic rats that received Myr (300 mg/kg) did not show any substantial change in fasting blood glucose (day 29), serum insulin, HOMA-IR, and HOMA-β levels as compared to normal control rats (Figure 7).

2.2.3. Effects on Serum Biochemical Parameters

In this study, considerably (p < 0.01) high levels of total cholesterol, triglycerides, and low-density lipoprotein (LDL)-cholesterol was observed in the sera of T2D rats (Table 1). T2D rats also showed a ⁓0.6-fold (p < 0.01) decrease in high-density lipoprotein (HDL)-cholesterol level (Table 1). These changes in serum lipid profile indicated the establishment of dyslipidemia in T2D rats. In contrast, Myr (300 mg/kg) treatment reversed total cholesterol (p < 0.05), triglycerides (p < 0.01), HDL-cholesterol (p < 0.05), and LDL-cholesterol (p < 0.01) levels in the sera of T2D rats as compared to T2D control animals (Table 1). In addition, T2D rats exhibited high (p < 0.01) levels of glycosylated-hemoglobin, lactate dehydrogenase (LDH), creatine kinase (CK), urea, uric acid, creatinine, C-reactive protein, and advanced glycation end products (AGEs) in the sera as compared to the normal control group (Table 1). However, Myr (300 mg/kg) treatment reversed glycosylated-hemoglobin (p < 0.05), LDH (p < 0.05), CK (p < 0.01), urea (p < 0.01), uric acid (p < 0.01), creatinine (p < 0.01), C-reactive protein (p < 0.01), and AGEs (p < 0.05) levels in the sera of T2D rats as compared to T2D control animals (Table 1). The non-diabetic rats that received Myr (300 mg/kg) did not show any major change in either of the aforementioned serum biochemical parameters as compared to vehicle-treated non-diabetic rats (Table 1).

2.2.4. Effects on Signal Proteins in Skeletal Muscle

The immunoblot analyses were performed to study the effect on the signal proteins involved in glucose metabolism in the skeletal muscle of rats (Figure 8a,b). In this study, T2D caused ⁓0.5-fold (p < 0.01) suppression of PI3K (p 85) expression in the skeletal muscle of rats (Figure 8b). The extents of IRS-1 and Akt phosphorylation were also decreased, resulting in considerably low P-IRS-1/total IRS (⁓0.4-fold, p < 0.01) and P-Akt/total Akt (⁓0.5-fold, p < 0.01) ratios in the skeletal muscle of T2D rats. In addition, ⁓0.6-fold (p < 0.01) downregulation in the expression of GLUT4 was observed in the membrane fraction of the skeletal muscle of T2D rats (Figure 8b). In contrast, Myr (300 mg/kg) treatment rescued (p < 0.01) the reduction in PI3K, P-IRS-1, P-Akt, and GLUT4 (in the membrane) expressions in the skeletal muscle of T2D rats (Figure 8b). The non-diabetic rats that received Myr (300 mg/kg) did not show any considerable change in either of the aforementioned signal proteins involved in glucose metabolism as compared to vehicle-treated non-diabetic rats (Figure 8a,b).

2.2.5. Effects on Kidney Mass and Urine Parameters

In this study, T2D rats exhibited ⁓38% (p < 0.01) increase in the kidney mass as measured on day 29 (Table 2). On the other hand, Myr (300 mg/kg) treatment reinstated (p < 0.05) the kidney mass in T2D rats to near normal status (Table 2). T2D rats exhibited a significantly (p < 0.01) high level of albumin in urine with simultaneous reduction (p < 0.01) in urinary creatinine level (Table 2). In contrast, Myr (300 mg/kg) treatment reversed (p < 0.01) albumin and creatinine levels in the urine of T2D rats as compared to T2D control animals (Table 2).

2.2.6. Effects on Renal Polyol Enzymes

In this study, T2D rats exhibited ⁓3- (p < 0.01) and ⁓1.8-fold (p < 0.01) increases in the levels of aldose reductase (Figure 9a) and sorbitol dehydrogenase (Figure 9b) with a ⁓0.8-fold (p < 0.01) depletion in glyoxalase-I level (Figure 9c) in the renal tissue as compared to normal rats. In contrast, Myr (300 mg/kg) treatment reduced aldose reductase (p < 0.01) and sorbitol dehydrogenase (p < 0.05) levels and improved glyoxalase-I level (p < 0.05) in the renal tissue homogenate of T2D rats as compared to T2D control animals (Figure 9a–c). However, the non-diabetic rats that received Myr (300 mg/kg) did not show any major change in either of the aforementioned polyol enzymes as compared to vehicle-treated non-diabetic rats (Figure 9).

2.2.7. Effect on Redox Status in Kidney

In this study, a ⁓1.8-fold (p < 0.01) high level of intercellular ROS was observed in the kidneys of T2D rats (Figure 10a). The levels of intracellular NADPH oxidase (Figure 10b) and NO (Figure 10c) were amplified to ⁓6.1- (p < 0.01) and ⁓2.4-fold (p < 0.01), respectively, in the renal tissue of T2D rats. Consequently, the degree of lipid peroxidation (TBRAS levels) and the extent of protein carbonylation were enhanced to ⁓2.4- (p < 0.01) and ⁓1.6-fold (p < 0.01), respectively, in the renal tissue of T2D rats (Figure 10d,e). In contrast, Myr (300 mg/kg) treatment significantly reduced T2D-induced augmentation of ROS (p < 0.01), NO (p < 0.01), NADPH oxidase (p < 0.01), TBRAS (p < 0.05), and carbonylated protein (p < 0.05) levels in the renal tissue of T2D rats as compared to T2D control rats (Figure 10a–e). The levels of the endogenous antioxidant enzymes, such as CAT, SOD, GPx, and GST, were decreased (p < 0.01) in the renal tissues of T2D rats as compared to the normal rats (Figure 10f–i). On the other hand, Myr (300 mg/kg) treatment improved (p < 0.01) the levels of the aforementioned antioxidant enzymes in the renal tissue of T2D rats as compared to the T2D control group (Figure 10f–i). A ⁓0.6-fold (p < 0.01) reduction in GSH was observed in the renal tissue of T2D rats, which resulted in a ⁓0.5-fold (p < 0.01) decrease in redox ratio as compared to non-diabetic rats (Figure 10j,k). However, Myr (300 mg/kg) treatment increased in renal GSH (p < 0.01) and redox ratio (p < 0.01) in T2D rats as compared to T2D control animals (Figure 10j,k). A ⁓2.3-fold (p < 0.01) increment in the extent of DNA oxidation was observed in the renal tissue of T2D rats; however, Myr (300 mg/kg) treatment reduced the extent of DNA oxidation in the renal tissue of T2D rats as compared to the T2D control group (Figure 10l). Interestingly, Myr (300 mg/kg) treatment to the non-diabetic rats did not show any substantial change in either of the aforementioned redox status-associated parameters as compared to normal control rats (Figure 10).

2.2.8. Effects on Renal Inflammation and Fibrosis

To study the effect of Myr on pro-inflammatory markers, the levels of tumor necrosis factor-alpha (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) were estimated (Figure 11a). In this study, T2D caused ⁓1.5- (p < 0.01), ⁓1.8- (p < 0.01), and ⁓1.7-fold (p < 0.01) increases in the levels of TNF-α, IL-1β, and IL-6, respectively, in the kidneys of the experimental rats as compared to non-diabetic rats (Figure 11a). In contrast, Myr (300 mg/kg) treatment reciprocated diabetes-provoked increase in the levels of TNF-α (p < 0.01), IL-1β (p < 0.01), and IL-6 (p < 0.05) in the renal tissue homogenate of T2D rats as compared to T2D control animals (Figure 11a). In search of the effect of Myr on fibrotic markers, the levels of TGF-β1, collagen IV, and hydroxyproline in the renal tissue homogenates were estimated (Figure 11b). In this study, T2D caused ⁓1.5- (p < 0.01), ⁓2.9- (p < 0.01), and ⁓2.0-fold (p < 0.01) increases in the levels of TGF-β1, collagen IV, and hydroxyproline, respectively, in the renal tissue homogenate of T2D rats as compared to non-diabetic rats (Figure 11b). In contrast, Myr (300 mg/kg) treatment caused a significant reduction in the levels of TGF- β1 (p < 0.01), collagen IV (p < 0.01), and hydroxyproline (p < 0.05) in the renal tissue homogenate of T2D rats as compared to T2D control animals (Figure 11b). Myr (300 mg/kg) treatment to the non-diabetic rats did not show any major change in either of the aforementioned pro-inflammatory or fibrotic markers as compared to normal control rats (Figure 11).

2.2.9. Effect on Signal Transduction in Kidney of T2D Rats

In this study, T2D endorsed apoptosis to the renal cells of rats evidenced by the activation of pro-apoptotic Bad protein and suppression of anti-apoptotic Bcl-2 protein in the kidney cells of T2D rats resulting in a ⁓3.2-fold (p < 0.01) increase in mitochondrial Bad/Bcl-2 ratio (Figure 12a,b). In addition, T2D rats exhibited ⁓2.9- (p < 0.01), ⁓2.9- (p < 0.01), and ⁓2.2-fold (p < 0.01) increases in cytosolic Cyt C, cleaved caspase 9, and cleaved caspase 3 expressions in the renal cells, respectively (Figure 12a,b). In contrast, Myr (300 mg/kg) treatment could attenuate (p < 0.01) the activation of Bad, Cyt C, caspase 9, and caspase 3 in the renal cells of T2D rats (Figure 12a,b). In addition, Myr (300 mg/kg) treatment activated (p < 0.01) Bcl-2 expression in the kidneys of T2D rats (Figure 12a,b). Thus, experimental observation signified that Myr could attenuate T2D-induced apoptosis in the renal cells of experimental rats. T2D can also endorse renal inflammation. In this study, T2D caused activation of P-IκBα (in the cytosol) to ⁓2.7-fold (p < 0.01) and P-NF-κB (in the nucleus) to ⁓2.2-fold (p < 0.01) in kidneys of experimental rats, which signified the induction of renal inflammation in the diabetic milieu (Figure 12c,d). In contrast, Myr (300 mg/kg) treatment could reduce renal inflammation by reducing the expressions of cytosolic P-IκBα (p < 0.01) and nuclear P-NF-κB (p < 0.01) in the kidneys of T2D rats (Figure 12c,d). The experimental observation signified that Myr could attenuate T2D-induced inflammation in the kidneys of experimental rats. In addition, T2D caused suppression of Nrf-2 signaling of endogenous redox defense in the renal cells evidenced by a ⁓0.6-fold (p < 0.01) reduction in P-Nrf-2 expression in the nucleus and ⁓2.6-fold (p < 0.01) activation of Keap1 expression in the cytosol (Figure 12e,f). In contrast, Myr (300 mg/kg) treatment significantly (p < 0.01) triggered redox defense in the renal cells of T2D rats by upregulating Nrf-2 signaling evidenced by enhancement of nuclear P-Nrf-2 expression in the kidneys of T2D rats (Figure 12e,f). In this study, T2D significantly endorsed fibrosis to renal cells of experimental rats. T2D rats exhibited ⁓2.7- (p < 0.01), ⁓3.1- (p < 0.01), and ⁓2.2-fold (p < 0.01) increases in TGF-β1, P-Smad3, and collagen IV expressions in renal cells, respectively (Figure 12g,h). In addition, a ⁓0.5-fold (p < 0.01) reduction in Smad7 expression was observed in the renal cells of T2D rats (Figure 12g,h). In contrast, Myr (300 mg/kg) treatment reciprocated TGF-β1 (p < 0.01), P-Smad3 (p < 0.01), Smad7 (p < 0.05), and collagen IV (p < 0.05) expressions in the kidneys of T2D rats (Figure 12g,h). Myr (300 mg/kg) treatment to the non-diabetic rats did not show any major change in either of the aforementioned signal proteins as compared to normal control rats (Figure 12).

2.2.10. Effect on Renal Histology of T2D Rats

Representative histological sections of kidneys of rats received different treatments were stained with hematoxylin and eosin (H&E) and Masson’s trichrome (MT) (Figure 13). The medulla portion of H&E-stained kidney sections of T2D rats showed thickening of Bowman’s capsules (yellow arrow), glomerular hypercellularity (blue arrow), and cloudy appearance of tubules (green arrow) when compared with the kidneys of normal control rats (Figure 13a). On the other hand, Myr (300 mg/kg) treatment reciprocated the histological abnormalities in the kidneys of T2D rats and restored the histo-architecture to near normal status (Figure 13a). MT-stained kidney sections of T2D rats exhibited enhanced collagen deposition (red arrows) (Figure 13b). In contrast, Myr (300 mg/kg) treatment attenuated collagen deposition in the kidneys of T2D rats (Figure 13b). In the morphometric analysis, the thickening of Bowman’s capsules was measured in H&E-stained kidney sections (100×) taking the arbitrarily selected areas containing one glomerulus. The kidney sections of T2D rats showed a ⁓2.8-fold (p < 0.01) increase in the capsular space (Figure 13c). Histo-quantification of MT-stained kidney sections of T2D rats showed a ⁓3.7-fold (p < 0.01) increase in collagen deposition (Figure 13d). In contrast, Myr (300 mg/kg) treatment significantly (p < 0.05–0.01) reciprocated histological abnormalities in the kidneys of T2D rats (Figure 13c,d). Myr (300 mg/kg) treatment to the non-diabetic rats did not show any considerable change in the histo-architecture as compared to normal control rats (Figure 13).

2.3. In Silico Analyses

2.3.1. ADMET and Drug-Likeness Prediction

Chemometric ADMET profiles of Myr were evaluated to explore few pharmacokinetic and other important physicochemical characteristics. The result of the predicted ADMET profile of Myr is presented in Table 3. From most of the predicted ADMET values, it was observed that Myr possesses acceptable drug-like characteristics with no such severe indication of toxicity issues, and hence, it could be considered as a good bioactive candidate molecule for exerting essential biological activity.

2.3.2. In Silico Molecular Docking Analysis between Myr and Signal Proteins

Molecular docking was executed to analyze the binding interactions between Myr and various signaling proteins for elucidating possible intermolecular interaction mechanisms and binding affinity towards each studied protein. Few proteins, such as IRS-1, Akt, Bcl-2, caspase 3, Cyt C, and Nrf-2 did not show significant docked poses. Such outcomes in docking might have appeared due to the non-availability of the complete crystallographic structures of some of these proteins and/or lack of appropriate binding regions in obtained structures. Myr exhibited several types of molecular interactions, such as hydrogen bond (H-bond), hydrophobic, π-cation, π-stacking, and salt bridge interactions with studied signaling proteins. Overall, molecular docking analyses suggested that majorities of the signaling proteins, such as PI3K, Bad, caspase 9, IκB, NF-κB, Keap1, TGF-β, Smad3, Smad7, and collagen IV (Figure 14) exhibited moderate to strong binding interaction affinity towards Myr with Glide dock scores ranging between −2.26 and −14.56 Kcal/mol (Table 4). In molecular docking, PI3K kinase protein revealed the lowest dock score of −14.56 kcal/mol and exhibited as the most potential binder of Myr. In particular, docking analyses revealed that Myr establishes H-bond interactions with Ser614, Tyr670, Ile685, and Ser687 residues of PI3K (Figure 14a). In addition, few hydrophobic residues (Ile634, Phe684, Pro689, Leu750, and Ile760) of PI3K protein also mediated to form hydrophobic contacts with Myr (Figure 14a). Interestingly, the predicted docking-based interactions obtained for PI3K were also compared with available known ligand (ligand ID: JXM) which revealed that amino acid residues, such as Phe612, Ly636, Phe684, Ile685 Leu750, Ile760, and Asp761 of PI3K, were involved in several types of intermolecular interactions (Supplementary Figure S1a). Appearance and involvement of common amino acid residues in molecular binding interactions were found for Myr and JXM, which undoubtedly supported that Myr could be a potential and reasonable binder for PI3K. Binding interactions between Myr and Bad protein revealed five H-bond interactions mediated through Glu311 and Glu318 residues along with a salt bridge interaction with residue Arg314 (Figure 14b). Myr interacted with caspase 9 to form several numbers of H-bond interactions through Arg180, Ser236, His237, Gln285, Ser287, and Arg355 residues along with hydrophobic interactions through Trp354 and Arg355 residues (Figure 14c). When comparing the predicted binding interactions of Myr with known ligand (ligand ID: MLT) of caspase 9 that also demonstrated the participation of H-bond interaction with Arg355 residue and suggested the potentiality of Myr to be a good binder for caspase 9 (Supplementary Figure S1b). Eight numbers of H-bond interactions were identified between Myr and the residues (Thr23, Phe26, Gln48, Leu173, Gly176, and Ser177) of IκB protein (Figure 14d). Known ligand (ligand ID: KSA) of IκB protein was also exhibited some common and close proximity residues (Leu21, Thr23, Val29, Lys44, Tyr98, Cys99, Val152, Ale165, and Asn166) involved in intermolecular interaction with IκB protein as obtained for Myr (Supplementary Figure S1c). Myr established H-bond interactions with Arg59, His67, Ser243, Asn250, Lys252, and Asp274 residues of NF-κB protein (Figure 14e). Intermolecular interaction between Keap1 protein and Myr exhibited a number of H-bond interactions through Ser363, Arg380, Gln530, Ser555, Tyr572, and Ser602 residues and a hydrophobic interaction with Tyr334 residue of Keap1 (Figure 14f). It was interesting to observe that known ligand (ligand ID: 08A) of Keap1 also revealed similar types of amino acid residues (Tyr334, Arg380, Asn382, Asn414, Tyr572, and Phe577) which participated in intermolecular interactions with Myr, and hence revealing that Myr is a plausible binder for Keap1 (Supplementary Figure S1d). Myr established H-bond interactions with TGF-β through Asp3, Leu83, Glu84, and Ser108 residues at the active binding site (Figure 14g). In addition to H-bond interactions, two residues (Ala82 and Glu84) of TGF-β protein also participated in the hydrophobic interactions with Myr (Figure 14g). In docking analyses, three types of intermolecular interactions, such as H-bonds (through Tyr363, Arg367, Arg372, Glu396, and His398), hydrophobic (through Thr370 and Leu403), and π-stacking (through His398) were predicted between Smad3 protein and Myr (Figure 14h). Another Smad family protein, Smad7, exhibited the involvements of two common residues (Glu203 and Pro207) in establishing both the H-bond and the hydrophobic interactions with Myr (Figure 14i). Docking analysis of Myr with collagen IV displayed H-bond interactions through Ser170, Ser190, Trp192, Leu210, and His218 residues along with the hydrophobic contacts through Leu215 and His218 residues of collagen IV (Figure 14j).

3. Discussion

T2D is among the most prevalent chronic metabolic syndromes affecting a huge number of global populations [14]. The pathological events in T2D include a number of slowly or rapidly developing lethal macro- or microvascular complications [14]. Diabetic nephropathy is among the major concerns in T2D patients [15]. Persistent hyperglycemia causes an increase in ROS production through polyol activation and other mechanisms, which subsequently endorses redox stress and activation of pathological signaling events [6]. Apoptotic, inflammatory, and fibrotic signaling events are proposed to be the key pathological signaling in diabetic nephropathy [16]. In this study, we evaluated the protective effect of Myr, a natural antioxidant in M. esculenta bark, against T2D and associated diabetic nephropathy.
In this study, a high-fat diet + a low dose of streptozotocin-induced T2D rat model was used. Persistently high blood glucose levels confirmed that diabetes was induced in the experimental rats. Significantly high HOMA-IR and low HOMA-β scores in diabetic rats as compared to normal rats confirmed the establishment of insulin resistance and partial loss of β cell functions, which signified the induction of T2D in rats [17]. Myr treatment to T2D rats caused a substantial reduction in fasting blood glucose level and improved serum insulin level, which might be attributed to a reversal of insulin resistance and restoration of β cell functions. Myr-treated T2D rats caused a substantial reduction in HOMA-IR and escalation in HOMA-β scores as compared to T2D control rats, which proposed that Myr reversed insulin resistance and restored β cell functions. In vitro assay revealed that Myr could improve glucose uptake by L6 myotubes cultured in HG condition. In search of mechanism, the signaling event involved in glucose utilization by the skeletal muscle was studied. Skeletal muscle cells play a key role in glucose metabolism [17]. IRS-1, PI3K, Akt, and GLUT4 are the key signaling molecules, which are involved in the signal transduction of insulin responsiveness in regulating glucose uptake by the skeletal muscle for subsequent utilization [2]. The insulin signaling of glucose uptake in muscle cell initiates with tyrosine phosphorylation of IRS-1, which sequentially endorses PI3K activation, Akt phosphorylation, and GLUT4 translocation to the membrane where GLUT4 acts as a key transporter of glucose into the cell for metabolism [2]. In this study, HG-exposed L6 cells and the soleus muscle of T2D rats exhibited substantial downregulation in insulin signaling which signified a lack of glucose utilization. On the other hand, Myr could activate IRS-1/PI3K/Akt/GLUT4 signaling in the muscle cells in both in vitro and in vivo systems, thereby improving glucose utilization in the diabetic milieu. Thus, it could be said that Myr exerts an anti-diabetic effect by improving glucose uptake by reversing insulin resistance, activating insulin signaling, and restoring β cell functions.
Serum and urine biochemical profiles can give a primary indication of pathological status in the body [18]. In this study, a high level of glycosylated hemoglobin in the sera of T2D rats is an indication of persistent hyperglycemia [2,15,17]. Persistent hyperglycemia can endorse several pathological incidences, including dyslipidemia [2]. In this study, T2D rats exhibited high levels of total cholesterol, triglycerides, and LDL-cholesterol in the sera along with a reduction in HDL-cholesterol level, which signified the establishment of dyslipidemia in the diabetic milieu. Dyslipidemia had also been regarded to incite and promote several diabetic complications through oxidative stress and inflammatory injuries [2,17]. In contrast, Myr treatment to T2D rats could attenuate dyslipidemia, thus alleviating lipotoxicity in the diabetic milieu. The increased levels of tissue-specific enzymes, such as LDH and CK in sera, reveal tissue damage. Significant elevation in the levels of LDH and CK in the sera of T2D rats signified the establishment of cellular damage in the internal tissues [19]. Myr treatment caused a reduction in serum LDH and CK levels in T2D rats, which signified the protective role of Myr against T2D-provoked damage to the internal tissues. In this study, an increase in the level of C-reactive proteins in the sera of T2D rats justified the induction of systemic inflammation in the diabetic milieu [20]. In contrast, Myr treatment caused a reduction in serum C-reactive proteins level, which might predict the anti-inflammatory role of the compound. In this study, increased levels of creatinine, urea, and uric acid in the sera of T2D rats and an escalation in the release of urinary albumin predicted the glomerular damage and the progression of diabetic nephropathy [2]. In addition, T2D rats exhibited a lack of creatinine clearance through urine, which could occur due to the loss of renal function [2]. In contrast, Myr treatment could rescue T2D-triggered abnormalities in creatinine, urea, and uric acid levels in the sera, albuminuria, and abnormal creatinine clearance; thus, Myr could be effective in alleviating diabetic nephropathy.
In vitro studies revealed that HG could impart toxic effects to the renal cells resulting in the loss of cell viability. In contrast, Myr was able to protect the renal cells against HG-induced cytotoxicity in vitro evidenced by both cell viability and image assays. The experimental observations both in vitro and in vivo suggested that HG imparted toxic manifestation by inducing oxidative stress, apoptosis, inflammation, and fibrosis to the renal cells.
In this study, hyperglycemia caused a significant increase in intracellular ROS content, NO concentration, and NADPH oxidase level in the kidney cells in vitro and in vivo. High glucose can trigger ROS production via multiple mechanisms. Polyol activation is among the major pathways of ROS production in the diabetic milieu [15]. In this study, T2D rats exhibited a significant activation in the polyol pathway in the renal tissue. Aldose reductase and sorbitol dehydrogenase are two key enzymes in the polyol pathway [6]. Aldose reductase catalyzes the conversion of glucose to sorbitol with the help of NADPH as a cofactor, while sorbitol dehydrogenase assists in the formation of fructose from sorbitol using its co-factor NAD+ [6]. Thus, activation of these enzymes causes the reduction in cellular NADPH resulting in an increment of oxidative stress [6]. In addition, polyol activation triggers AGEs formation, which endorses ROS production via NADPH activation [6]. In this study, T2D rats showed elevated levels of aldose reductase and sorbitol dehydrogenase in the renal tissue resulting in an upregulation of AGEs in the sera. In contrast, Myr treatment significantly reduced aldose reductase and sorbitol dehydrogenase in renal tissue homogenate and consequently reduced AGE accumulation in sera. Thus, Myr could attenuate ROS accumulation and oxidative stress in renal cells via inhibiting polyol enzymes and AGEs formation. High glucose-provoked activation of NADPH oxidase can also trigger ROS production via catalyzing electron transfer from NADPH to molecular oxygen and thereby produces superoxide which can subsequently be converted into H2O2 by reacting with water [21]. H2O2 can generate hydroxyl radical via Haber–Weiss reaction [21]. This hydroxyl radical further reacts with NO to generate reactive nitrogen species (RNS) [21]. In this study, both the renal tissue of T2D rats and HG-exposed renal cells exhibited considerably high NADPH oxidase level, which resulted in an enhancement in ROS production in renal cells. Hyperglycemia also triggered NO level, which could endorse the generation of RNS, thus further enhancing redox stress. In contrast, Myr treatment lowered ROS accumulation, NADPH oxidase activation, and NO content in the renal tissue of T2D rats and HG-exposed renal cells. Endogenous antioxidant molecules play key roles in scavenging/neutralizing the oxidative free radicals. SOD catalyzes scavenging of superoxide radical to yield H2O2 and O2, while CAT and GPx accelerate the dismutation and reduction of H2O2, respectively [18]. GST catalyzes the detoxification of lipid peroxides [18]. The catalytic properties of GST and GPx depend on GSH concentration [18]. In addition, GSH is a thiol-based metabolite, which scavenges ROS and consequently converted into GSSG [18]. In this study, suppression of cellular antioxidant molecules, such as SOD, CAT, GPx, GST, and GSH in the renal tissue of T2D rats and HG-exposed renal cells hampered the scavenging/neutralizing capacity of these oxidative free radicals resulting in an excess of oxidative free radicals to impart oxidative damage. In contrast, Myr treatment significantly enhanced the levels of cellular antioxidant molecules in the renal tissue of T2D rats and HG-exposed murine kidney cells, thus contributing to redox defense mechanism. A high extent of lipid peroxidation, protein carbonylation, and DNA oxidation was observed in the renal tissue of T2D rats and HG-exposed murine kidney cells. Enhanced production of ROS and RNS and lack of their scavenging in diabetic milieu resulted in these oxidative insults to the cellular macromolecules. In contrast, Myr treatment could reduce hyperglycemia-provoked redox insult to the lipids, proteins, and nucleic acid in renal cells in vitro and in vivo. Myr itself can neutralize oxidative radicals by donating protons from the phenolic groups. Thus, Myr could attenuate hyperglycemia-provoked renal oxidative stress via multiple targetings, such as scavenging oxidative radicals, suppressing polyol activation, inhibiting NAHPH oxidase, reducing intracellular NO level, and endorsing cellular redox defense. In search of the mechanism by which Myr endorses cellular redox defense, the effect on Nrf-2/Keap1 signaling was studied. Nrf-2 is a key transcription protein, which regulates the cellular redox defense mechanism [21]. Nrf-2 signaling begins with the cleavage of Nrf-2 from the Keap1–Nrf-2 complex, followed by its phosphorylation, and translocation to the nucleus where it triggers transcriptional activation of phase 2 antioxidant enzymes [21]. In this study, Myr could significantly reverse Nrf-2 suppression in diabetic milieu evidenced by upregulation of P-Nrf-2 expression in the nucleus and activation of Keap1 expression in the cytosol. Activation of Nrf-2 signaling transcriptionally activated endogenous antioxidant enzymes and GSH level and endorsed redox defense mechanism in diabetic condition. In silico molecular docking predicted the interaction between Keap1 and Myr, which might be the cause of dissociation of Keap1–Nrf-2 complex.
In addition to oxidative damages to major cellular components, ROS can endorse several pathological events, such as apoptosis [21,22]. Oxidative radicals can improve mitochondrial permeability, thus promoting mitochondrial translocation of Bad, a pro-apoptotic factor [21]. These can simultaneously suppress Bcl-2 via inhibition of cAMP response element-binding protein [21]. Activation of pro-apoptotic protein and suppression of anti-apoptotic factor endorse the release of Cyt C to the cytosol, which activates downstream signaling of apoptosis [21]. Oxidative stress can also trigger caspase activation via cysteine oxidation at their catalytic sites and suppression of GSH-mediated S-glutathionylation [21]. In this study, Hoechst nuclear staining of HG-exposed renal cells exhibited signs of apoptosis induction. In addition, hyperglycemia-provoked oxidative stress endorsed apoptosis to HG-exposed renal cells and the kidneys of T2D rats evidenced by enhanced mitochondrial translocation of Bad, suppression of Bcl-2, the cytosolic release of Cyt C, and cleavage of caspases. In contrast, Myr treatment could significantly attenuate renal apoptosis in the diabetic milieu, which may be achieved through inhibition of oxidative stress and/or direct interaction with pro-apoptotic factor and caspase 9, as predicted in molecular docking analysis.
Fibrosis is another redox-sensitive pathological event [21,22]. Biochemical analysis of renal tissue homogenate of T2D rats exhibited high accumulation of TGF-β1, collagen IV, and hydroxyproline. Histological sections of the kidneys of T2D rats also showed an excess of collagen deposition. Both these results signified the establishment of renal fibrosis in the diabetic milieu. In contrast, Myr treatment could attenuate T2D-mediated renal fibrosis as observed in both biochemical and histological findings. Fibrosis is principally regulated by TGF-β1/Smad/collagen IV signaling pathway. TGF-β1 and Smad have been reported to play crucial roles in developing glomerulosclerosis and tubulointerstitial fibrosis [21]. ROS can directly promote TGF-β1 activation, which can endorse Smad3 phosphorylation and trigger downstream fibrotic signaling including collagen deposition. Smad7 can inhibit TGF-β1 activation via serving as a ”negative feedback loop” [21]. In this study, HG-exposed renal cells and the kidneys of T2D rats exhibited upregulation of TGF-β1, P-Smad3, and collagen IV expressions with concomitant downregulation of Smad7. In contrast, Myr treatment could suppress the TGF-β1/Smad/collagen IV signaling in renal cells in the diabetic milieu, which may be achieved via inhibition of oxidative stress and/or direct interaction with fibrotic factors as predicted in molecular docking analysis.
Hyperglycemia is known to endorse low-grade inflammation to the renal cells, which have been proposed to play a significant role in developing diabetic nephropathy [2]. In this study, significantly high levels of pro-inflammatory mediators, such as IL-1β, IL-6, and TNF-α were observed in renal tissue homogenate of T2D rats, which proposed the occurrence of renal inflammation [2]. These pro-inflammatory mediators are the down-stream targets of NF-κB. Briefly, NF-κB signaling begins with the phosphorylation-mediated degradation of NF-κB from its association with IκB which prevents NF-κB activation [23]. Then, P-NF-κB translocates to the nucleus and triggers the transcription of inflammatory genes [22]. In this study, HG-exposed renal cells and the kidneys of T2D rats exhibited activation of NF-κB signaling evidenced by an upregulation P-NF-κB expression in the nucleus. In contrast, Myr treatment significantly suppressed NF-κB activation in the renal cells in the diabetic milieu, and thus prevented renal inflammation evidenced by the reduction in IL-1β, IL-6, and TNF-α levels in the kidneys and C-reactive protein in the sera of T2D rats. An in silico molecular docking study also predicted the interactions of Myr with NF-κB and IκB.
Histological assessment of the kidneys of T2D rat showed thickening of Bowman’s capsules, glomerular hypercellularity, and cloudy appearance of tubules. In addition, a significant increase in collagen deposition was observed in the kidneys of T2D rats. In contrast, Myr could reverse the histological abnormalities of the kidney sections of T2D rats and restored the histo-architecture to near-normal status, which supports the protective role of Myr against diabetic nephropathy.
In silico ADMET profiles predicted that Myr possesses acceptable drug-like characteristics with no such indication of severe toxicity issue, and hence it could be considered as a good drug candidate.

4. Materials and Methods

4.1. Plant Material and Extraction of Myr

The powdered bark of M. esculenta was macerated with methanol with continuous stirring. The extract was fractioned successively with hexane and ethyl acetate. The ethyl acetate fraction was subjected to silica gel column chromatography using mixtures of n-hexane-ethyl acetate and ethyl acetate-methanol of increasing polarity, to yield seven major fractions (A–G). Fraction C was chromatographed with hexane-dichloromethane and dichloromethane-methanol with an increasing gradient to yield Myr (m.p. 359 °C). The structure (Figure 1) was elucidated employing NMR (1H and 13C) and mass spectroscopic data [24,25].

4.2. Reagents

Streptozotocin was procured from Hi-media (Mumbai, India). Myr (96%), Bradford reagent, cell culture media, fetal bovine serum (FBS), and bovine serum albumin were procured from Sigma-Aldrich (St. Louis, MO, USA). Polyclonal anti-Akt (SAB4500800), anti-Bcl-2 (SAB4500003), anti-Cyt C (SAB4502234), anti-P-Nrf-2 (SAB4501984), and anti-Smad7 (SAB4200345) antibodies were purchased from Sigma-Aldrich (St. Louis, MO, USA); polyclonal anti-PI3K (p85α) (#4292), anti-phospho-Akt (#9271) anti-TGF-β (#3711), anti-P-IRS-1 (#3070), anti-IRS-1 (#2382), and anti-Bad (#9292) antibodies and monoclonal anti-P-NF-κB (p65) (#3033), anti-P-IκBα (#2859), anti-P-Smad3 (#9520), and β-actin (#4970) antibodies were obtained from Cell Signaling Technology (Beverly, MA, USA); polyclonal anti-Keap1 (ab139729) antibody was procured from Abcam Inc. (Cambridge, MA, USA). Monoclonal anti-GLUT4 (NBP2-44298) antibody and polyclonal anti-caspase 9 (NB 100-56366) and anti-caspase 3 (NB-100-56113) antibodies were procured from Novas Biologicals (Littleton, CO, USA). HRP-linked antibody (#7074) was procured from Cell Signaling Technology, (Beverly, MA, USA). Ethylenediaminetetraacetic acid (EDTA), 1-chloro-2,4-dinitrobenzene (CDNB), dimethyl sulphoxide (DMSO), H2O2, N-ethylmaleimide, nicotinamide adenine dinucleotide reduced disodium salt (NADH), glacial acetic acid, NBT, GSH, GSSG, KH2PO4, NaN3, thiobarbituric acid (TBA), and trichloroacetic acid (TCA) were procured from Sisco research laboratory, India. The kits/reagents for biochemical assays to estimate different biochemical parameters were purchased from Sigma-Aldrich (St. Louis, MO, USA) and Span diagnostic Ltd. (Mumbai, India).

4.3. In Vitro Assays

4.3.1. Cell Culture

The L6 myoblast and the NRK epithelial cell lines were gifted by Prof. Parames Sil, Department of Molecular Medicine, Bose Institute, Kolkata, India. These cells were cultured in Dulbecco’s modified Eagle’s Medium (DMEM) supplemented with 10% FBS and antibiotics. The cells were maintained at 37 °C in a humidified atmosphere of 5% CO2. The cells were passaged in every 3 days.

4.3.2. Glucose Uptake Assay

The L6 cells were exposed to high glucose (HG+) and glucose uptake assay was performed in the presence of Myr as per established protocol [26]. Briefly, cells (2 × 104) were pre-incubated with Myr (10, 20, 30, and 50 μM) in a 96-well culture plate for 2 h followed by HG+ (30 mM) exposure for the following 20 h at 37 °C in a humidified atmosphere of 5% CO2. A set of L6 cells cultured with 5.5 mM glucose served as the control (HG−). The glucose uptake was estimated using 6-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]-2-deoxy-d-glucose (6-NBDG) following the established protocol [26]. The treated cells were incubated with a serum-free medium containing 6-NBDG (20 μM). After 30 min of incubation, cells were washed, lysed, and kept in the dark for 10 min. The cells were homogenized with 30 µL of DMSO and the plate was read immediately using a microplate reader at λexcitation 466 nm/λemission 540 nm.

4.3.3. Immunoblotting of Signal Proteins in L6 Myoblasts

The L6 myoblast cells (2 × 104) were pre-incubated with Myr (30 μM) in a 96-well culture plate for 2 h followed by HG+ (30 mM) exposure for the following 20 h at 37 °C in a humidified atmosphere of 5% CO2. The concentration of Myr was calibrated on the basis of the glucose uptake assay. L6 cells that received different treatments were washed with cold PBS, lysed in the radio-immunoprecipitation assay (RIPA) buffer supplemented with protease and phosphatase inhibitors, and the protein samples were separated following the standard sequential fractionation process as described by Baghirova et al. [27]. Protein samples were quantified by ELISA (Bio-Rad, CA, USA). The sample proteins (20 μg) were resolved in 10% SDS-PAGE gel electrophoresis, and immunoblotting was performed as per the established protocol by our group [22]. The blot was developed by ECL substrate (Millipore, MA, USA) and the protein expression was detected in a ChemiDoc Touch imaging system (Bio-Rad, USA). The densitometric analysis was executed using Image Lab software (Bio-Rad, USA). The membranes were further subjected to mild stripping to detect the expressions of other proteins in the same membrane [28]. The expressions of PI3K (p85), P-IRS-1 (Tyr 895), total IRS-1, P-Akt (Ser 473), total Akt, and GLUT4 (in the membrane fraction) were studied. β-actin was used as a loading control for normalization.

4.3.4. Concentration and Time-Dependent Toxic Effect of D-Glucose to NRK Cells

To establish a model of diabetic nephropathy, the concentration and time-dependent toxic effect of D-glucose was measured. For measuring the concentration-dependent toxic effect of D-glucose, NRK cells (2 × 104) were seeded in a 96-well culture plate. After 24 h, the cells were treated with D-glucose (5, 10, 20, 30, and 40 mM) and incubated for 72 h. The cell viability was measured using resazurin as per the protocol established by our group [21]. Briefly, 5 μL of 600 μM resazurin was added to the wells and incubated for 2 h, and the plate was read using a microplate reader at λexcitation 535 nm/λemission 590 nm. To determine the time-dependent toxic effect of D-glucose, the cells were treated with D-glucose (30 mM), and the cell viability was measured at 6, 12, 24, 48, and 72 h using the resazurin-based assay. Based on the assays, D-glucose concentration of 30 mM and the incubation period of 48 h were optimized as the in vitro condition for diabetic nephropathy assay.

4.3.5. In vitro Model of Diabetic Nephropathy

The NRK cells (2 × 104) were seeded in a 96-well culture plate, and after 24 h, the cells were treated with Myr (30 μM) and the nephroprotective assay was performed in the presence of HG+ (30 µM). A set of NRK cells cultured with 5.5 mM glucose served as the control (HG−). A set of cells treated with HG+ served as the hyperglycemic control, and another set of cells treated with Myr (30 μM) in the HG−condition was kept to observe the effect of Myr (30 μM) in the normoglycemic cellular environment. The cells were incubated for 48 h at 37 °C in a humidified atmosphere of 5% CO2.

4.3.6. Cell Viability Measurement

The cell viability was measured using the resazurin-based assay [21]. The Hoechst staining was performed as per the protocol established by our group [21]. Briefly, cells under different sets were fixed with paraformaldehyde (4%) in phosphate buffer saline (PBS) of pH 7.4 for 20 min and were strained with Hoechst 33,258 (5 μg/mL in PBS) for 20 min. The cells were washed with PBS and counted under fluorescence microscope (Olympus-1 × 70, Japan, software-Metamorph).

4.3.7. Measurement of Redox Status

The intracellular ROS production was measured employing a 2’,7’-dichlorofluorescein diacetate (DCFH-DA)-based assay, and DCF fluorescence was measured at λexcitation 485 nm/λemission 525 nm under a fluorescence microscope (Olympus-1 × 70, Japan, software-Metamorph) [29]. Briefly, the cells that received different treatments were incubated with 10 mM DCFH-DA for 1 h at 37 °C in the dark. Then, the cells were washed and suspended in PBS, and fluorescence was measured. Firstly, DCFH-DA is deacetylated by viable cells to non-fluorescent DCFH, which in turn form fluorescent DCF by reacting with ROS [29]. NADPH oxidase level was measured as per the method described elsewhere [30]. Briefly, cells that received different treatments were detached by acutase and centrifuged at 2500× g for 5 min. the pellet was resuspended in PBS and the cells were incubated with NADPH (250 µM). NADPH consumption was checked by the decrease in absorbance at λ 340 nm for 10 min. For NADPH oxidase activity, the rate of NADPH consumption was inhibited by adding 10 µM diphenyleneiodonium 30 min prior to the assays. The amount of NADPH consumption was estimated using an absorption extinction coefficient of 6.22 mM−1cm−1. The cellular NO content was measured using a colorimetric assay kit and following the manufacturer’s protocol (Cayman Chemical Company, Ann Arbor, MI, USA). The lipid peroxidation index was measured by quantifying the TBARS concentration by following the protocol of Fraga and co-workers with little modification [31]. Briefly, 50 µL of cell extract was mixed with 50 µL SDS (3%), and the mixture was heated in a water bath after adding 200 µL of 0.1 N HCl, 30 µL of phosphotungstic acid (10%), and 100 µL of 2-TBA (0.7%). The TBRAS was extracted by n-butanol, and fluorescence was measured at λexcitation 515 nm/λemission 555 nm under a fluorescence microscope (Olympus-1 × 70, Japan, software-Metamorph). The degree of protein carbonylation was assayed as per the established protocol [32]. Briefly, the sample was treated with an equal volume of 2,4-dinitrophenylhydrazine (1%) in 2 N HCl. After an hour, the mixture was treated with TCA (20%) and centrifuged. The precipitate was extracted with ethanol/ethyl acetate and dissolved in 8 M guanidine hydrochloride in 133 mM tris solution containing 13 mM EDTA. The absorbance was recorded at 365 nm. The extent of protein carbonylation was calculated using a molar extinction coefficient of 22,000 M−1cm−1. The levels of the CAT, SOD, GPx, and GST were assayed following methods described elsewhere [33]. In SOD assay, cell suspension containing 5 µg of protein was mixed with nitroblue tetrazolium (NBT), phenazine methosulphate, and sodium pyrophosphate, and the reaction was initiated by adding NADH. After 90 s, the reaction was terminated by adding glacial acetic acid, and the absorbance was measured at 560 nm. SOD activity was calculated as the enzyme concentration required inhibiting (µ-moles) of NBT-reduction/min. CAT activity was estimated spectrophotometrically by measuring the decomposition of 7.5 mM H2O2 at 240 nm for 10 min. CAT activity is defined as H2O2 consumption/min. In GPx estimation, H2O2 and NADPH were used as substrates, and NADPH to NADP+ conversion was estimated by measuring the changes in absorption intensity at 340 nm. GPx activity is defined as the amount of enzyme required to catalyze the conversion of 1 mol NADPH/minute. GST activity was measured spectrophotometrically at 340 nm based on the conjugation reaction with GSH in the first step of mercapturic acid synthesis. The reaction mixture comprises supernatant protein sample, EDTA, CDNB, KH2PO4 buffer, and GSH. The GST activity was measured as µmol of CDNB conjugate formed/min/mg protein. GSH and GSSG levels were estimated following the protocols developed by Hissin and Hilf [34]. In GSH estimation, the assay mixture comprising diluted cell extract, phosphate-EDTA buffer pH 8.0, and o-phthalaldehyde solution was incubated for 15 min. Fluorescence at 420 nm was measured with the activation at 350 nm. The GSH activity was expressed as nmol/mg of protein. In GSSG assay, diluted cell extract was mixed with 0.04 M N-ethylmaleimide and incubated at 30 min. Then, 0.1 N NaOH was added to the mixture. GSSG activity was measured following the procedure outlined above for GSH assay. The redox ratio was calculated as GSH/GSSG.

4.3.8. Immunoblotting of Signal Proteins in NRK Cells

The cellular/subcellular protein samples (20 μg) obtained from NRK cells that received different treatments were resolved in 10% SDS-PAGE gel electrophoresis and immunoblotted as described earlier. The expressions of Bcl-2, Bad in the mitochondria, Cyt C in the cytosol, cleaved caspase 9, cleaved caspase 3, P-IκBα (Ser 32) in the cytosol, P-NF-κB p65 (Ser 536) in the nucleus, Keap1 in the cytosol, P-Nrf-2 (Ser40) in the nucleus, TGF-β1, P-Smad3 (Ser423/Ser425), Smad7, and collagen-IV were studied.

4.4. In Vivo Assay

4.4.1. Animals

Male Wistar rats (3–4 months old, 150 ± 20 g) were used in this study. The rats were housed in separate polypropylene cages in our departmental animal house and maintained at the temperature of 22 ± 2 °C, relative humidity of 45 ± 5%, light–dark schedule of 12 h, standard rat diet (Agro Corporation Private, Ltd., Bangalore, India), and water ad libitum [35]. The experiment was performed at the animal house of the Department of Pharmaceutical Technology, Jadavpur University, India. The animal experiment was approved (Reference no. AEC/PHARM/1701/08/2017, dated 30.7.2017) by the animal ethical committee of our institute (Registration no.: 0367/01/C/CPCSEA, UGC, India), and the principles of laboratory animal care were followed during the experiment [36]. The animals were allowed to be acclimatized for 15 days before performing the experiment. Myr was freshly dissolved in 2% Tween 80 before each dosing.

4.4.2. Induction of Diabetes and Experimental Scheme

A high fat-fed and a single low-dose streptozotocin (STZ) model for type 2 diabetes has been standardized by our group, which was used in this study [2,15,17]. Briefly, the Wistar rats were fed a high-fat diet [15] and water ad libitum for 2 weeks. After 2 weeks, the rats were injected with a single dose of STZ (35 mg/kg body weight, i.p.). One week after STZ treatment, the blood samples were taken from each rat for HOMA-IR and HOMA-β analysis to screen type 2 diabetic animals [17]. The diabetic rats were continued with high-fat diet throughout the course of the study.
The type 2 diabetic rats were divided into 4 groups (n = 6) and treated as follows:
  • Group I: Non-diabetic rats were treated with vehicle daily for 28 days;
  • Group II: Non-diabetic rats were treated with Myr (300 mg/kg body weight, p.o.) daily for 28 days;
  • Group III: T2D rats were treated with vehicle daily for 28 days;
  • Group IV: T2D rats were treated with Myr (300 mg/kg body weight, p.o.) daily for 28 days.
The animals were scrutinized at 12 h intervals to observe any symptom/sign of irregularity. The fasting blood glucose levels were measured on days 0, 1, 3, 7, 14, 21, and 28 using a single touch glucometer (Ascensia Entrust, Bayer Health Care, Maharashtra, India) [14]. The body weights, food intake, and water intake were also recorded in the specific intervals. After 28 days, animals were fasted overnight, and the blood samples were collected from retro-orbital venous plexus after applying tetracaine ophthalmic drop (0.5%) to the eyes of rats [37]. The animals were euthanatized, and the soleus muscle (skeletal muscle) and kidneys were excised, and cleaned immediately with cold PBS (pH 7.4) [37]. For albumin and creatinine measurements, urine samples were collected from the bladder and immediately stored at −80 °C.

4.4.3. Estimation of Serum and Urine Parameters

Serum insulin level was assessed by ELISA using a commercially available kit (Sigma-Aldrich, St. Louis, MO, USA) following the manufacturer protocol. Homeostatic model assessments were performed by estimating HOMA-IR and HOMA-β following established formulae [17]: HOMA-IR = (Fasting serum insulin in U/L × Fasting blood glucose inmmol/L)/22.5; HOMA- β = (Fasting serum insulin in U/L × 20/Fasting blood glucose in mmol/L) −3.5. Total cholesterol, HDL-cholesterol, and triglyceride levels in the sera were measured using commercially available kits (SPAN Diagnostic, Ltd., Mumbai, India) following manufacturer protocols. LDL-cholesterol level was estimated following Friedewald’s equation, LDL-cholesterol = Total cholesterol −Triglycerides/5−HDL cholesterol. Glycosylated hemoglobin concentration in sera was estimated according to the protocol described by Nayak and Pattabiraman [38]. Briefly, the blood sample was hemolyzed by toluene then the hemolysate was hydrolyzed by 1 M oxalic acid in 2 M HCl. TCA (40%) was added to the hydrolysate and then centrifuged. The supernatant was subjected to phenol-sulphuric acid assay. The developed color was measured at 480 nm. The levels of albumin, C-reactive protein, creatinine, creatine kinase (CK), lactate dehydrogenase (LDH), urea, and uric acid were estimated using commercially available kits (Span Diagnostic Limited, India) following the manufacturer’s protocols. Serum AGEs level was estimated by ELISA (Abcam, Cambridge, UK) following the manufacturer’s instructions.

4.4.4. Immunoblotting of Signal Proteins in Skeletal Muscle

The soleus muscles of experimental rats were homogenized with ice-cold lysis buffer. The cellular/subcellular protein samples (20 mg) were dissolved in 10% SDS-polyacrylamide gel electrophoresis and immunoblotted. The expressions of PI3K (p85), phospho-IRS-1(Tyr895), total IRS-1, Phospho-Akt (Ser473), total Akt, and GLUT4 (in the membrane) were studied.

4.4.5. Estimation of Renal Parameters

The kidneys were homogenized in 0.1 M Tris-HCl-0.001 M EDTA buffer of pH 7.4 and centrifuged at 12,000× g for 30 min at 4 °C. The supernatants were used for the biochemical analyses. Aldose reductase activity was assessed in accordance with the established protocol [39]. Briefly, tissue homogenate was added to an assay mixture consisting of 100 mM sodium phosphate buffer (pH 7.0) containing 10 mM DL-glyceraldehyde and 66 mM NADPH. Activity was measured by monitoring the decrease in absorbance at 340 nm. The value was expressed as consumption of NADPH/min/mg of protein. The sorbitol dehydrogenase activity was estimated as per the method described elsewhere [40]. Briefly, the renal tissue homogenate was treated with 12 mM NADH and 0.2 M triethanolamine buffer (pH 7.4). After 30 min, the reaction was initiated by adding 4 M D (−)fructose. Absorbance was determined at 1 min intervals for 5–8 min at 365 nm. Glyoxalase-I activity was estimated following the protocol developed by McLellan and Thornalley [41]. Briefly, glyoxalase I activity was assayed by measuring the rate of formation of S-D-lactoylglutathione from hemi-thioacetal in the presence of tissue homogenate, followed by the increase in absorbance at 240 nm using a molar extinction coefficient of 2.86 mM−1cm−1 at pH 6.6. The levels of ROS, NO, NADPH oxidase, SOD, CAT, GPx, GST, GSH, and GSSG in renal tissue homogenates were estimated following the established protocol mentioned earlier. DNA oxidation was estimated as per the established protocol [28]. Briefly, DNA was isolated from renal tissue by the pronase-ethanol method followed by enzymatic digestion. DNA oxidation assay was performed by RP-HPLC analysis in a Dionex UltiMate 3000 HPLC system (Dionex, Germany), using a C-18 column and equipped with electrochemical detector and was represented as 7,8-hydroxy-2′-deoxyguaosine/2′-deoxyguaosine (8-OHdG/2-dG) ratio. An isocratic mobile phase (pH 3.0) comprising 0.1 M formic acid, 1 mM citric acid, 7.7 mM NaN3, 0.5 mM EDTA, 24 mM diethylamine, and acetonitrile (4%) was used to estimate 8-OHdG, while acetonitrile (4%) in 50 mM NaH2PO4 (pH 4.5) was used to estimate 2-dG. The applied potential for 8-OHdG and 2-dG was 0.0/+0.5 and +0.4/+0.8 volts, respectively. Hydroxyproline, TNF-α, IL-1β, and IL-6 levels in the renal tissue homogenate were measured by ELISA using commercially available kits (Fisher Thermo Scientific Co., Waltham, MA, USA). TGF-β1 and collagen IV levels in the renal tissue homogenates were determined using ELISA kits (R&D Systems, Inc. Minneapolis, USA) according to the manufacturer’s guidelines.

4.4.6. Immunoblotting of Signal Proteins in Renal Tissue

The kidneys of experimental rats were homogenized with ice-cold RIPA buffer supplemented with protease and phosphatase inhibitors. The cellular/subcellular protein samples (20 mg) were dissolved in 10% SDS-polyacrylamide gel electrophoresis and immunoblotted. The expressions Bcl-2, Bad in the mitochondria, cytochrome Cyt C in the cytosol, cleaved caspase 9, cleaved caspase 3, P-IκBα (Ser 32) in the cytosol, P-NF-κB p65 (Ser 536) in the nucleus, Keap1 in the cytosol, P-Nrf-2 (Ser40) in the nucleus, TGF-β1, P-Smad3 (Ser423/Ser425), Smad7, and collagen-IV were studied.

4.4.7. Histological Assessment

Formalin (10%)-fixed kidneys of mice under different treatments were embedded within the paraffin blocks. The paraffin-mounted tissue samples were processed for microtome sectioning. Sections (⁓5 µm) were subjected to H&E and MT staining as per the established protocol, and the sections were coated with resinous mounting medium before taking microscopic images [2,17]. For MT staining, the sections were de-paraffinized and stained with hematoxylin. Sections were washed with warm distilled water and stained with Biebrich scarlet-acid fuchsin solution. Sections were then differentiated in phosphomolybdic-phosphotungstic acid followed by staining with aniline blue and differentiation with 1% acetic acid. The sections were washed again and dehydrated with absolute ethyl alcohol before mounting. Histo-quantification was performed using NIH IMAGE (Image-J, 1.37v) software.

4.5. Statistical Analysis

The data are presented as the mean ± SD. The statistical analysis was executed using a one-way analysis of variance (ANOVA) followed by Dunnett’s t-test in the GraphPad InStat software (version 3.05), San Diego, CA, USA. p value < 0.05 was considered significant.

4.6. In Silico Assays

4.6.1. ADMET properties of Myr

The energy minimized state of Myr was subjected to chemometric ADMET and other physicochemical parameter prediction. Important ADME and other properties under Lipinski’s Rule of Five (RO5) [42], such as molecular weight, hydrogen bond donor, hydrogen bond acceptor, and octanol/water partition coefficient (QPlogPo/w), were predicted for Myr using Qikprop [43], a module of the Schrödinger software suite. Further toxicity profiles, such as hepatotoxicity, developmental toxicity, and mutagenicity were predicted using ADMET descriptors protocol of Discovery Studio 2.5.

4.6.2. Molecular Docking

All the signaling target proteins were retrieved from the protein data bank (PDB) accessible at www.rcsb.org [44]. High resolution three-dimensional X-ray crystallographic structures of PI3K (PDB: 4UWH), Akt (PDB: 3D0E), IRS1 (PDB: 5U1M), Bad (PDB: 1G5J), Bcl-2 (PDB: 4LXD), Cyt C (PDB: 3ZCF), caspase 9 (PDB: 2AR9), caspase 3 (PDB: 5I9B), IκB (PDB: 4KIK), NF-κB (PDB: 1SVC), Keap1 (PDB: 6TYM), Nrf-2 (PDB: 2FLU), TGF-β (PDB: 3KFD), Smad7 (PDB: 2DJY), Smad3 (PDB: 1MJS), and collagen IV (PDB: 5NAX) were selected for the molecular docking. All selected crystal structures were processed using the ”Protein Preparation Wizard” module of Schrödinger suite [45], and protein preparation was performed as per the established protocol [21]. The ligand molecule, Myr, was prepared using the ”LigPrep” [46] module integrated into Schrödinger’s Maestro interface, which produced the low-energy stereoisomers of the ligand with correct chirality of the processed structure. To analyze the protein–ligand interactions, the prepared Myr was docked to the active site of respective proteins employing ”Ligand docking” in Glide module using the Extra Precision docking method following default settings [47]. However, only the input parameter was changed in terms of allowing or generating a maximum of 6 docking poses per ligand. After successful execution of docking, a protein–ligand interaction profiler tool [48] was used to detect the interaction patterns and binding contacts between each signaling protein and Myr. Moreover, docking-based interactions obtained for Myr were also compared with few signaling target proteins, such as PI3K, Caspase 9, IκB, and Keap1, available with known ligands obtained from their respective PDBs.

5. Conclusions

In this study, Myr exhibited a protective effect against diabetic nephropathy via antihyperglycemic, antioxidant, anti-inflammatory, and antifibrotic effects. The antihyperglycemic effect was manifested via endorsing insulin sensitization to improve glucose uptake by the skeletal muscle evidenced by the activation of IRS-1/PI3K/Akt/GLUT4 in muscle cells in the diabetic milieu. Myr exhibited an antioxidant effect on the renal cells via multiple mechanisms including neutralization of free radicals, suppression of NADPH oxidase, inhibition of polyol pathways, and activation of cellular redox defense system through Nrf-2 activation. Myr inhibited renal inflammation in the diabetic milieu through NF-κB suppression. In addition, Myr could inhibit renal fibrosis by inhibiting TGF-1/Smad/collagen IV signaling. The protective mechanism of Myr is proposed in Figure 15. Molecular docking analysis predicted the interactions between Myr and the signal proteins. ADMET prediction revealed that Myr supports the drug-likeness character. Thus, Myr would serve as a potential therapeutic agent for T2D and diabetic nephropathy in the future.

Supplementary Materials

The following are available online, Figure S1: Intermolecular interaction analyses of known ligands of four signal proteins: PI3K (a), caspase 9 (b), IκB (c), and Keap1 (d). Predicted molecular docking-based interactions of Myr were compared with these available target proteins of known ligands, which revealed similar types of interacting amino acid residues involved in several intermolecular interactions as obtained for Myr.

Author Contributions

Conceptualization, S.D., A.S., and V.D.F.; methodology, S.D., S.J., T.K.D., A.S., and V.D.F.; software, S.J. and S.B.; validation, T.K.D. and A.S.; formal analysis, S.J. and S.B.; investigation, S.J., T.K.D., P.C., and S.B.; resources, S.D., and A.S.; data curation, S.J., T.K.D., and S.B.; writing—original draft preparation, S.D., S.J., T.K.D., and S.B.; writing—review and editing, S.D., A.S., and V.D.F.; visualization, S.D.; supervision, S.D. and A.S.; project administration, S.D.; funding acquisition, S.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Council of Scientific and Industrial Research, New Delhi, India, grant number 02(0275)/16/EMR-II to S.D.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Public Health Service Policy on Humane Care and Use of Laboratory Animal; National Institute of Health: Washington, DC, USA, 2015, and approved by the Institutional Animal Ethical Committee (Reg. no.: 0367/01/C/CPCSEA, UGC, India) of Jadavpur University (Reference no. AEC/PHARM/1701/08/2017, dated 30.7.2017).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are presented in this study are available in the article and the supplementary material.

Acknowledgments

Authors sincerely acknowledge Jadavpur University, Kolkata, India and University of Salerno, Salerno, Italy.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the compounds are commercially available. Authors will not provide any sample to others.

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Figure 1. Structure of Myr.
Figure 1. Structure of Myr.
Molecules 26 00258 g001
Figure 2. Effect of Myr on glucose uptake events by the skeletal muscle cells. (a) Effect of Myr on glucose uptake by L6 cells. (b) The immunoblot images showing effects of Myr in the expressions of signal proteins involved in glucose uptake by L6 cells. (c) The graphs showing the densitometric analysis of immunoblots. Myr was able to improve glucose uptake by L6 cells by activating PI3K expression, IRS1 phosphorylation, Akt phosphorylation, and GLUT4 translocation to membrane. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are represented as the mean ± SD, n (number of plates) = 3. # Values significantly (p < 0.01) differed from the control (HG−) group. * Values significantly (p < 0.05) differed from the HG-treated (HG+) group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group.
Figure 2. Effect of Myr on glucose uptake events by the skeletal muscle cells. (a) Effect of Myr on glucose uptake by L6 cells. (b) The immunoblot images showing effects of Myr in the expressions of signal proteins involved in glucose uptake by L6 cells. (c) The graphs showing the densitometric analysis of immunoblots. Myr was able to improve glucose uptake by L6 cells by activating PI3K expression, IRS1 phosphorylation, Akt phosphorylation, and GLUT4 translocation to membrane. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are represented as the mean ± SD, n (number of plates) = 3. # Values significantly (p < 0.01) differed from the control (HG−) group. * Values significantly (p < 0.05) differed from the HG-treated (HG+) group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group.
Molecules 26 00258 g002
Figure 3. Cytotoxic effect of D-glucose on murine renal cells and protective effect of Myr. (a) Concentration dependent cytotoxic effect of D-glucose on NRK cells. (b) Time dependent cytotoxic effect of D-glucose on NRK cells. (c) Effect of Myr on the viability of NRK cells cultured in controlled (HG−) condition. (d) Effect of Myr against HG-induced toxicity in NRK cells as observed in cell viability assay. (e) Effect of Myr against HG-induced toxicity in NRK cells as observed in Hoechst nuclear staining. HG caused loss of cell viability of NRK cells in both concentration and time dependent manner. Myr culture in HG-condition did not affect cell viability. Myr reciprocated HG-induced loss of cell viability as seen in cell viability assay and Hoechst nuclear staining. Data are represented as the mean ± SD, n (number of plates) = 3. $ Values significantly (p < 0.05) differed from the control (HG−) group. # Values significantly (p < 0.01) differed from the control (HG−) group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group.
Figure 3. Cytotoxic effect of D-glucose on murine renal cells and protective effect of Myr. (a) Concentration dependent cytotoxic effect of D-glucose on NRK cells. (b) Time dependent cytotoxic effect of D-glucose on NRK cells. (c) Effect of Myr on the viability of NRK cells cultured in controlled (HG−) condition. (d) Effect of Myr against HG-induced toxicity in NRK cells as observed in cell viability assay. (e) Effect of Myr against HG-induced toxicity in NRK cells as observed in Hoechst nuclear staining. HG caused loss of cell viability of NRK cells in both concentration and time dependent manner. Myr culture in HG-condition did not affect cell viability. Myr reciprocated HG-induced loss of cell viability as seen in cell viability assay and Hoechst nuclear staining. Data are represented as the mean ± SD, n (number of plates) = 3. $ Values significantly (p < 0.05) differed from the control (HG−) group. # Values significantly (p < 0.01) differed from the control (HG−) group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group.
Molecules 26 00258 g003aMolecules 26 00258 g003b
Figure 4. The effects of Myr on HG-induced redox imbalance on NRK cells. (a) The level of intracellular ROS was observed in cells by DCF fluorescence. (b) The graph showing the quantity of intracellular ROS. (cl) The graphs showing the effects on NADPH oxidase (c), NO (d), TBARS (e), protein carbonyl (f), CAT (g), SOD (h), GPx (i), GST (j), GSH (k), and redox ratio (l). Myr was effective in reducing HG-induced increase in intracellular ROS, NADPH oxidase, NO, TBARS, and protein carbonyl levels, while it increased CAT, SOD, GPx, GST, GSH, and redox ration in HG-exposed NRK cells. Data are represented as the mean ± SD, n (number of plates) = 3. # Values significantly (p < 0.01) differed from the control (HG− group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group. SOD unit, “U”, is defined as inhibition (µ-moles) of nitro blue tetrazolium (NBT)-reduction/min. CAT unit, “U”, is defined as H2O2 consumption/min.
Figure 4. The effects of Myr on HG-induced redox imbalance on NRK cells. (a) The level of intracellular ROS was observed in cells by DCF fluorescence. (b) The graph showing the quantity of intracellular ROS. (cl) The graphs showing the effects on NADPH oxidase (c), NO (d), TBARS (e), protein carbonyl (f), CAT (g), SOD (h), GPx (i), GST (j), GSH (k), and redox ratio (l). Myr was effective in reducing HG-induced increase in intracellular ROS, NADPH oxidase, NO, TBARS, and protein carbonyl levels, while it increased CAT, SOD, GPx, GST, GSH, and redox ration in HG-exposed NRK cells. Data are represented as the mean ± SD, n (number of plates) = 3. # Values significantly (p < 0.01) differed from the control (HG− group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group. SOD unit, “U”, is defined as inhibition (µ-moles) of nitro blue tetrazolium (NBT)-reduction/min. CAT unit, “U”, is defined as H2O2 consumption/min.
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Figure 5. The effects of Myr on HG-induced signaling on NRK cells. (a) The immunoblot images showing the effects on the expressions of Bad (in mitochondria), Bcl-2, Cyt C (in cytosol), cleaved caspase 9, and cleaved caspase 3 involved in apoptosis. (b) The graphs showing the densitometric analysis of the bands of apoptotic factors. (c) The immunoblot images showing the effects on the expressions of P-IκBα (in cytosol), and P-NF-κB (in nucleus) involved in inflammation. (d) The graphs showing the densitometric analysis of the bands of inflammatory factors. (e) The immunoblot images showing the effects on the expressions of Keap1 (in cytosol), and P-Nrf-2 (in nucleus) involved in redox defense. (f) The graphs showing the densitometric analysis of the bands of redox defense factors. (g) The immunoblot images showing the effects on the expressions of TGF-β1, P-Smad3, Smad7, and collagen IV involved in fibrosis. (h) The graphs showing the densitometric analysis of the bands of fibrotic factors. Myr was effective in reducing HG-induced increase in the expressions of Bad (in mitochondria), Cyt C (in cytosol), cleaved caspase 9, cleaved caspase 3, P-IκBα (in cytosol), and P-NF-κB (in nucleus), Keap1 (in cytosol), TGF-β1, P-Smad3, and collagen IV, while it activated the expressions of Bcl-2, P-Nrf-2 (in nucleus), and Smad7. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are represented as the mean ± SD, n (number of plates) = 3. # Values significantly (p < 0.01) differed from the control (HG−) group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group.
Figure 5. The effects of Myr on HG-induced signaling on NRK cells. (a) The immunoblot images showing the effects on the expressions of Bad (in mitochondria), Bcl-2, Cyt C (in cytosol), cleaved caspase 9, and cleaved caspase 3 involved in apoptosis. (b) The graphs showing the densitometric analysis of the bands of apoptotic factors. (c) The immunoblot images showing the effects on the expressions of P-IκBα (in cytosol), and P-NF-κB (in nucleus) involved in inflammation. (d) The graphs showing the densitometric analysis of the bands of inflammatory factors. (e) The immunoblot images showing the effects on the expressions of Keap1 (in cytosol), and P-Nrf-2 (in nucleus) involved in redox defense. (f) The graphs showing the densitometric analysis of the bands of redox defense factors. (g) The immunoblot images showing the effects on the expressions of TGF-β1, P-Smad3, Smad7, and collagen IV involved in fibrosis. (h) The graphs showing the densitometric analysis of the bands of fibrotic factors. Myr was effective in reducing HG-induced increase in the expressions of Bad (in mitochondria), Cyt C (in cytosol), cleaved caspase 9, cleaved caspase 3, P-IκBα (in cytosol), and P-NF-κB (in nucleus), Keap1 (in cytosol), TGF-β1, P-Smad3, and collagen IV, while it activated the expressions of Bcl-2, P-Nrf-2 (in nucleus), and Smad7. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are represented as the mean ± SD, n (number of plates) = 3. # Values significantly (p < 0.01) differed from the control (HG−) group. ** Values significantly (p < 0.01) differed from the HG-treated (HG+) group.
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Figure 6. Effects of Myr on fasting blood glucose level (a), body mass gain (b), food intake (c), and water intake (d) in T2D rats. Myr was effective in reducing fasting blood glucose level, body mass gain, food intake, and water intake in T2D rats. Data are expressed as mean ± SD (n = 6). $ Values significantly (p < 0.05) differed from the normal control (T2D−) group. # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
Figure 6. Effects of Myr on fasting blood glucose level (a), body mass gain (b), food intake (c), and water intake (d) in T2D rats. Myr was effective in reducing fasting blood glucose level, body mass gain, food intake, and water intake in T2D rats. Data are expressed as mean ± SD (n = 6). $ Values significantly (p < 0.05) differed from the normal control (T2D−) group. # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
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Figure 7. Effect of Myr on fasting blood glucose level (mmol/L) (a), serum insulin (U/L) (b), HOMA-IR, (c) score and HOMA-β score (d) on day 29 of post-treatment in T2D rats. Myr was effective in reducing blood glucose level and HOMA-IR score in T2D rats, while it improved serum insulin and HOMA-β score. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group. HOMA-IR = (Fasting serum insulin in U/L × Fasting blood glucose inmmol/L)/22.5; HOMA- β = (Fasting serum insulin in U/L × 20/Fasting blood glucose in mmol/L)—3.5.
Figure 7. Effect of Myr on fasting blood glucose level (mmol/L) (a), serum insulin (U/L) (b), HOMA-IR, (c) score and HOMA-β score (d) on day 29 of post-treatment in T2D rats. Myr was effective in reducing blood glucose level and HOMA-IR score in T2D rats, while it improved serum insulin and HOMA-β score. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group. HOMA-IR = (Fasting serum insulin in U/L × Fasting blood glucose inmmol/L)/22.5; HOMA- β = (Fasting serum insulin in U/L × 20/Fasting blood glucose in mmol/L)—3.5.
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Figure 8. Effect of Myr on glucose uptake events by the skeletal muscle in T2D rats. (a) The immunoblot images showing effects of Myr in the expressions of signal proteins involved in glucose uptake by rat soleus muscle. (b) The graphs showing the densitometric analysis of immunoblots. Myr was able to improve glucose uptake by skeletal muscle by activating of PI3K expression, IRS1 phosphorylation, Akt phosphorylation, and GLUT4 translocation to membrane. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
Figure 8. Effect of Myr on glucose uptake events by the skeletal muscle in T2D rats. (a) The immunoblot images showing effects of Myr in the expressions of signal proteins involved in glucose uptake by rat soleus muscle. (b) The graphs showing the densitometric analysis of immunoblots. Myr was able to improve glucose uptake by skeletal muscle by activating of PI3K expression, IRS1 phosphorylation, Akt phosphorylation, and GLUT4 translocation to membrane. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
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Figure 9. Effect of Myr on polyol enzymes, such as aldose reductase (a), sorbitol dehydrogenase (b), and glyoxalase-I (c) in the kidneys of T2D rats. Myr was able to decrease polyol activation in the kidneys of T2D rats. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
Figure 9. Effect of Myr on polyol enzymes, such as aldose reductase (a), sorbitol dehydrogenase (b), and glyoxalase-I (c) in the kidneys of T2D rats. Myr was able to decrease polyol activation in the kidneys of T2D rats. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
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Figure 10. The effects of Myr on redox imbalance in the kidneys of T2D rats. The graphs showing the effect on intracellular ROS (a), NADPH oxidase (b), NO (c), TBARS (d), protein carbonyl (e), CAT (f), SOD (g), GPx (h), GST (i), GSH (j), redox ratio (k), and DNA oxidation (l). Myr was effective in reducing T2D-induced increase in the levels of intracellular ROS, NADPH oxidase, NO, lipid peroxidation, protein carbonylation, and DNA oxidation, while it increased CAT, SOD, GPx, GST, GSH, and redox ration. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group. SOD unit, “U”, is defined as inhibition (µ-moles) of nitro blue tetrazolium (NBT)-reduction/min. CAT unit, “U”, is defined as H2O2 consumption/min.
Figure 10. The effects of Myr on redox imbalance in the kidneys of T2D rats. The graphs showing the effect on intracellular ROS (a), NADPH oxidase (b), NO (c), TBARS (d), protein carbonyl (e), CAT (f), SOD (g), GPx (h), GST (i), GSH (j), redox ratio (k), and DNA oxidation (l). Myr was effective in reducing T2D-induced increase in the levels of intracellular ROS, NADPH oxidase, NO, lipid peroxidation, protein carbonylation, and DNA oxidation, while it increased CAT, SOD, GPx, GST, GSH, and redox ration. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group. SOD unit, “U”, is defined as inhibition (µ-moles) of nitro blue tetrazolium (NBT)-reduction/min. CAT unit, “U”, is defined as H2O2 consumption/min.
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Figure 11. The effects of Myr on renal inflammation and fibrosis in T2D rats. (a) The graphs showing the effects on TNF-α, IL-1β, and IL-6. (b) The graphs showing the effects on TGF-β1, collagen IV, and hydroxyproline. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
Figure 11. The effects of Myr on renal inflammation and fibrosis in T2D rats. (a) The graphs showing the effects on TNF-α, IL-1β, and IL-6. (b) The graphs showing the effects on TGF-β1, collagen IV, and hydroxyproline. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
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Figure 12. The effects of Myr on different signal proteins in the kidneys of T2D rats. (a) The immunoblot images showing the effects on the expressions of Bad (in mitochondria), Bcl-2, Cyt C (in cytosol), cleaved caspase 9, and cleaved caspase 3 involved in apoptosis. (b) The graphs showing the densitometric analysis of the bands of apoptotic factors. (c) The immunoblot images showing the effects on the expressions of P-IκBα (in cytosol) and P-NF-κB (in nucleus) involved in inflammation. (d) The graphs showing the densitometric analysis of the bands of inflammatory factors. (e) The immunoblot images showing the effects on the expressions of Keap1 (in cytosol) and P-Nrf-2 (in nucleus) involved in redox defense. (f) The graphs showing the densitometric analysis of the bands of redox defense factors. (g) The immunoblot images showing the effects on the expressions of TGF-β1, P-Smad3, Smad7, and collagen IV involved in fibrosis. (h) The graphs showing the densitometric analysis of the bands of fibrotic factors. Myr was effective in reducing T2D-induced increase in the expressions of Bad (in mitochondria), Cyt C (in cytosol), cleaved caspase 9, cleaved caspase 3, P-IκBα (in cytosol), and P-NF-κB (in nucleus), Keap1 (in cytosol), TGF-β1, P-Smad3, and collagen IV in rat kidneys, while it activated the expressions of Bcl-2, P-Nrf-2 (in nucleus), and Smad7 in the renal cells of T2D rats. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
Figure 12. The effects of Myr on different signal proteins in the kidneys of T2D rats. (a) The immunoblot images showing the effects on the expressions of Bad (in mitochondria), Bcl-2, Cyt C (in cytosol), cleaved caspase 9, and cleaved caspase 3 involved in apoptosis. (b) The graphs showing the densitometric analysis of the bands of apoptotic factors. (c) The immunoblot images showing the effects on the expressions of P-IκBα (in cytosol) and P-NF-κB (in nucleus) involved in inflammation. (d) The graphs showing the densitometric analysis of the bands of inflammatory factors. (e) The immunoblot images showing the effects on the expressions of Keap1 (in cytosol) and P-Nrf-2 (in nucleus) involved in redox defense. (f) The graphs showing the densitometric analysis of the bands of redox defense factors. (g) The immunoblot images showing the effects on the expressions of TGF-β1, P-Smad3, Smad7, and collagen IV involved in fibrosis. (h) The graphs showing the densitometric analysis of the bands of fibrotic factors. Myr was effective in reducing T2D-induced increase in the expressions of Bad (in mitochondria), Cyt C (in cytosol), cleaved caspase 9, cleaved caspase 3, P-IκBα (in cytosol), and P-NF-κB (in nucleus), Keap1 (in cytosol), TGF-β1, P-Smad3, and collagen IV in rat kidneys, while it activated the expressions of Bcl-2, P-Nrf-2 (in nucleus), and Smad7 in the renal cells of T2D rats. The intensity of normal control band was assigned 1. β-actin served as the loading control for normalization. Data are expressed as mean ± SD (n = 6). # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
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Figure 13. The effects of Myr on the histological structures of the kidneys of T2D rats. (a) H&E-stained sections of mice kidneys. (b) The MT-stained sections of mice kidneys. (c) The widening of capsular space is shown as a percentage of the blank staining of glomerular membrane compared to the whole area of the H&E-stained photomicrograph. (d) Histo-quantification of collagen deposition in MT-stained kidney sections. T2D rats showed thickening of Bowman’s capsules (yellow arrow), glomerular hypercellularity (blue arrow), cloudy appearance of tubules (green arrow), and collagen deposition (red arrows). Data are represented as the mean ± SD, n = 6 × 5. Five randomly selected portions containing a glomerulus from kidney section of each mouse were chosen for the quantification. # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
Figure 13. The effects of Myr on the histological structures of the kidneys of T2D rats. (a) H&E-stained sections of mice kidneys. (b) The MT-stained sections of mice kidneys. (c) The widening of capsular space is shown as a percentage of the blank staining of glomerular membrane compared to the whole area of the H&E-stained photomicrograph. (d) Histo-quantification of collagen deposition in MT-stained kidney sections. T2D rats showed thickening of Bowman’s capsules (yellow arrow), glomerular hypercellularity (blue arrow), cloudy appearance of tubules (green arrow), and collagen deposition (red arrows). Data are represented as the mean ± SD, n = 6 × 5. Five randomly selected portions containing a glomerulus from kidney section of each mouse were chosen for the quantification. # Values significantly (p < 0.01) differed from the normal control (T2D−) group. * Values significantly (p < 0.05) differed from the diabetic control (T2D+) group. ** Values significantly (p < 0.01) differed from the diabetic control (T2D+) group.
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Figure 14. In silico molecular docking analysis revealed several types of possible molecular interactions between Myr and signal proteins, such as PI3K (a), Bad (b), caspase 9 (c), IκB (d), NF-κB (e), Keap1 (f), TGF-β (g), Smad3 (h), Smad7 (i), and collagen IV (j).
Figure 14. In silico molecular docking analysis revealed several types of possible molecular interactions between Myr and signal proteins, such as PI3K (a), Bad (b), caspase 9 (c), IκB (d), NF-κB (e), Keap1 (f), TGF-β (g), Smad3 (h), Smad7 (i), and collagen IV (j).
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Figure 15. The possible mechanism of Myr in the management in glucose utilization and diabetic nephropathy. Red arrows indicate downstream pathway, red lines indicate inhibition, and green lines indicate activation.
Figure 15. The possible mechanism of Myr in the management in glucose utilization and diabetic nephropathy. Red arrows indicate downstream pathway, red lines indicate inhibition, and green lines indicate activation.
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Table 1. Effects on serum biochemical parameters of experimental rats.
Table 1. Effects on serum biochemical parameters of experimental rats.
ParametersGroup IGroup IIGroup IIIGroup IV
Total cholesterol (mg/dL)84.32 ± 7.5483.21 ± 8.02156.33 ± 14.45 #137.67 ± 10.98 *
HDL cholesterol (mg/dL)35.43 ± 2.8937.17 ± 3.8720.22 ± 2.43 #29.50 ± 1.67 *
LDL cholesterol (mg/dL)25.04 ± 2.3421.79 ± 2.1198.67± 7.91 #76.82 ± 6.82 **
Triglycerides (mg/dL)118.67 ± 9.24121.22 ± 10.22187.22 ± 16.43 #156.74 ± 14.87 **
Glyco-haemoglobin (mg/g haemoglobin)0.28 ± 0.030.27 ± 0.020.71 ± 0.08 #0.62 ± 0.05 *
LDH (U/L)164.22 ± 14.27159.87 ± 13.48256.69 ± 24.75 #221.24 ± 20.11 *
CK (IU/mg of protein)10.45 ± 1.159.87 ± 1.0119.22 ± 2.07 #14.55 ± 1.49 **
Urea (mg/dL)18.79 ± 1.9119.63 ± 1.9171.25 ± 6.62 #56.29 ± 5.18 **
Uric acid (mg/dL)2.11 ± 0.232.04 ± 0.173.67 ± 0.42 #2.87 ± 0.31 **
Creatinine (mg/dL)0.42 ± 0.050.43 ± 0.030.73 ± 0.08 #0.56 ± 0.05 **
C-reactive protein (mg/dL)1.32 ± 0.171.26 ± 0.132.57 ± 0.29 #1.78 ± 0.20 **
AGEs (µg/mL)438.17 ± 37.28416.22 ± 40.24769.37 ± 80.72 #659.37 ± 71.26 *
Data are expressed as mean ± SD (n = 6). # p < 0.01 compared with Group I; * p< 0.05 compared with Group II; ** p< 0.01 compared with Group II. Group I: normal control; Group II: normal rats treated with Myr (300 mg/kg, p.o); Group III: T2D control rats; Group IV: T2D rats treated with Myr (300 mg/kg, p.o).
Table 2. Effect on kidney mass and renal function-related urine parameters.
Table 2. Effect on kidney mass and renal function-related urine parameters.
ParametersGroup IGroup IIGroup IIIGroup IV
Kidney mass (g)0.98 ± 0.130.96 ± 0.091.35 ± 0.17 #1.12 ± 0.14 *
Urinary creatinine (mg/dL)56.87 ± 6.1257.83 ± 5.8921.32 ± 2.37 #38.14 ± 4.26 **
Urinary albumin (mg/dL)2.74 ± 0.332.79 ± 0.289.84 ± 1.13 #6.87 ± 0.67 **
Data are expressed as mean ± SD (n = 6). # p < 0.01 compared with Group I; * p < 0.05 compared with Group II; ** p < 0.01 compared with Group II. Group I: Normal control; Group II: Normal rats treated with Myr (300 mg/kg, p.o); Group III: T2D control rats; Group IV: T2D rats treated with Myr (300 mg/kg, p.o).
Table 3. Computationally predicted absorption distribution metabolism excretion, and toxicity (ADMET) and other drug-likeness profiles of Myr.
Table 3. Computationally predicted absorption distribution metabolism excretion, and toxicity (ADMET) and other drug-likeness profiles of Myr.
ADMET Properties
Studied
Descriptors/Physiochemical PropertiesPredicated ValuesRecommended Ranges/Indices
Properties under Lipinski’s rule of five (RO5)Molecular weight464.382130.0 to 725.0
H-bond donor70.0 to 6.0
H-bond acceptor122.0 to 20.0
QPlogPo/w3.69−2.0 to 6.5
Other important physiochemical/ADME propertiesWPSA00.0 to 175.0
glob0.840.75 to 0.95
QPlogS−2.74−6.5 to 0.5
QPlogHERG−4.72Concern below −5
QPPCaco2.69<25 poor; >500 great
QPlogBB−3.63−3.0 to 1.2
QPlogKhsa−0.74−1.5 to 1.5
Toxicity profilesHepatotoxicityNon-hepatotoxicToxic or non-toxic
MutagenicityNon-mutagenicMutagenic or non-mutagenic
QPlogPo/w: Predicted octanol/water partition coefficient; WPSA: Weakly polar component of the SASA (solvent accessible surface area); glob: Globularity descriptor; QPlogS: Predicted aqueous solubility; QPlogHERG: Predicted IC50 value for blockage of HERG K+ channels; QPPCaco: Predicted apparent Caco-2 cell permeability; QPlogBB: Predicted brain/blood partition coefficient; QPlogKhsa: Prediction of binding to human serum albumin.
Table 4. XP-Glide score and interacting residues of different bioactive signaling receptors/proteins in molecular docking analysis with Myr.
Table 4. XP-Glide score and interacting residues of different bioactive signaling receptors/proteins in molecular docking analysis with Myr.
ProteinsGlide Dock Score (Kcal/mol)Interacting Residues in
H-bond Interaction
Involvement of Other Type of Molecular Interactions
PI3K−14.56Ser614, Tyr670, Ile685, Ser687Ile634, Phe684, Pro689, Leu750, Ile760 (Hydrophobic)
Bad−3.64Glu311, Glu318Arg314 (Salt bridge)
Caspase 9−5.11Arg180, Ser236, His237, Gln285, Ser287, Arg355Trp354, Arg355 (Hydrophobic)
IκB−5.69Thr23, Phe26, Gln48, Leu173, Gly176, Ser177Leu173 (Hydrophobic)
NF-κB−7.06Arg59, His67, Ser243, Asn250, Lys252, Asp274Arg57 (Salt bridge)
Keap1−7.98Ser363, Arg380, Gln530, Ser555, Tyr572, Ser602Tyr334 (Hydrophobic)
TGF-β1−2.99Asp3, Leu83, Glu84, Ser108Ala82, Glu84 (Hydrophobic)
Smad3−4.71Tyr363, Arg367, Arg372, Glu396, His398Thr370, Leu403 (Hydrophobic)/His398 (π-Stacking)
Smad7−2.26Glu203, Pro207Glu203, Leu204, Pro207 (Hydrophobic)
Collagen IV−7.99Ser170, Ser190, Trp192, Leu210, His218Leu215, His218 (Hydrophobic)
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Dua, T.K.; Joardar, S.; Chakraborty, P.; Bhowmick, S.; Saha, A.; De Feo, V.; Dewanjee, S. Myricitrin, a Glycosyloxyflavone in Myrica esculenta Bark Ameliorates Diabetic Nephropathy via Improving Glycemic Status, Reducing Oxidative Stress, and Suppressing Inflammation. Molecules 2021, 26, 258. https://doi.org/10.3390/molecules26020258

AMA Style

Dua TK, Joardar S, Chakraborty P, Bhowmick S, Saha A, De Feo V, Dewanjee S. Myricitrin, a Glycosyloxyflavone in Myrica esculenta Bark Ameliorates Diabetic Nephropathy via Improving Glycemic Status, Reducing Oxidative Stress, and Suppressing Inflammation. Molecules. 2021; 26(2):258. https://doi.org/10.3390/molecules26020258

Chicago/Turabian Style

Dua, Tarun K., Swarnalata Joardar, Pratik Chakraborty, Shovonlal Bhowmick, Achintya Saha, Vincenzo De Feo, and Saikat Dewanjee. 2021. "Myricitrin, a Glycosyloxyflavone in Myrica esculenta Bark Ameliorates Diabetic Nephropathy via Improving Glycemic Status, Reducing Oxidative Stress, and Suppressing Inflammation" Molecules 26, no. 2: 258. https://doi.org/10.3390/molecules26020258

APA Style

Dua, T. K., Joardar, S., Chakraborty, P., Bhowmick, S., Saha, A., De Feo, V., & Dewanjee, S. (2021). Myricitrin, a Glycosyloxyflavone in Myrica esculenta Bark Ameliorates Diabetic Nephropathy via Improving Glycemic Status, Reducing Oxidative Stress, and Suppressing Inflammation. Molecules, 26(2), 258. https://doi.org/10.3390/molecules26020258

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