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Abstract
ABSTRACT
Diabetes is one of the major causes of death worldwide. Onion peels have antioxidant and antidiabetic activities due to the presence of flavonoids and phenolic compounds. In current research, the antidiabetic potential of a herbal‐based silver nanodrug synthesized using aqueous extract of
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Introduction
Diabetes mellitus (DM) is a metabolic disorder associated with impaired signaling & resistance of insulin, and β-cell dysfunction, increased oxidative stress, sub-clinical inflammation, abnormal glucose and lipid metabolism (Airaodion et al. 2019; Summer et al. 2024). The causative agents include dithizone, monosodium glutamate, gold thioglucose, high fructose load, high glucose load and anti-insulin serum. Alloxan monohydrate and streptozotocin (STZ) are frequently used in diabetes research (Macdonald Ighodaro et al. 2017). Different factors contribute to the development of diabetes, but oxidative stress is one among the major factors. Alloxan monohydrate along with its byproducts like dialuric acid are selectively accumulated in beta cells as glucose analogue and mediates oxidative stress by producing reactive oxygen species (ROS) causing the apoptotic death of β-cell of pancreas which in turn leads to the reduction in insulin production. Further, Alloxan monohydrate increases the concentration of calcium ions (Ca2+) in beta cells of pancreatic islets which contributes to the abnormal release of insulin and ultimately cause the death of beta cells of pancreatic islets (Rohilla and Ali 2012).
Diabetic patients are given oral hypoglycemic or insulin for the control of blood sugar, but these have side effects as well. Natural fresh fruits and vegetables reduce the risk of chronic disorders due to the presence of variety of bioactive phytochemicals. Besides this, processing of agricultural products produce large quantities of byproducts which are usually discarded as waste while these products are the rich source of bioactive ingredients (Kumar et al. 2022; Riaz et al. 2023). Onion peel's yield is more than 500,000 tones which is being dumped as waste, whereas these are rich in phytoconstituents like phenolics (vanillic acid and Ferulic acid), flavonoids (Quercetin), flavanols, anthocyanins, and tannins (Stoica et al. 2023), as compared to onion bulb. Owing to these bioactive composition,
The main disadvantage of medications derived from herbs was their low bioavailability. Nanotechnology is an interdisciplinary field that can manipulate the matter at nanoscale and the nanoparticles can revolutionize various fields through its application in medical sciences, material sciences, energy and electronics (Gupta et al. 2024; Idris and Roy 2024a, 2024b). Nanoparticles consist of inorganic, organic and metallic substances, and can be prepared through different methods, such as hydrothermal synthesis, thermal decomposition and chemical vapor deposition (Haque et al. 2024). Metallic nanoparticles are advantageous due to their reactivity, large surface area and catalytic power which make them highly important for multiple applications. Silver nanoparticles have wide spread uses across industries like pharmaceuticals, cosmetics, ceramics, paints, textiles, energy and agriculture due to their biocompatibility, stability, eco-friendliness, non-toxicity, hydrophilicity, heat resistance and antimicrobial properties (Idris, Roy, Malik, et al. 2024; Naik et al. 2023; Vu et al. 2022). According to Zhang et al., nanoparticles hold great potential in addressing the inadequate bioavailability of herbal-based medications (Zhang et al. 2019). Natural extract of plants acts as chelating agents for the favorable synthesis of metal nanoparticles. Silver nanoparticles (AgNPs) are the most beneficial of all the metallic nanoparticles because of their ability to transport therapeutic molecules that bound to surfaces and provide guidance about the fundamental functions and biological behaviors of disease cells. These green synthesized nanosized AgNPs are marked as antioxidants, genoprotective, antimicrobial, antianalgesic, antitumor, anti-inflammatory, anti-infections and anticancer agents (Bhusari et al. 2023; Idris, Roy, Subramanian, et al. 2024; Tahir et al. 2024). To address safety concerns, nanoparticles must be characterized before being used in nanomedicines (Zhang et al. 2016). To the best of our knowledge,
Materials and Methods
Chemicals and Reagents
Silver nitrate and all other chemicals used in this research were of analytical grade and purchased from Merck and Sigma Aldrich. The Randox kits to test blood sugar levels, renal function tests, lipid profile, and oxidative stress markers were purchased from MyBiosource, USA.
Collection and Preparation of Aqueous Extract
Green Synthesis of Silver Nanoparticles (
Green synthesis was carried out by mixing the 100 mL of 50 mM AgNO3 solution with 400 mL of prepared
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Characterization
Phytoconstituents present in aqueous extract of
To carry out XRD analysis, Braker Diffractometer (Model-D2 Phaser XE-T Edition) was used. Crystallinity of green synthesized AgNPs was analyzed by using Cu-Kα (λ = 1.5406) as the target radiation source. Diffractograms were recorded at 2ϴ range between 30° and 80° with an intensity of 0–150 counts (Narayanasamy et al. 2020). Average crystalline size of synthesized AgNPs was evaluated by using Scherer's equation:
Here D is the average crystalline size, K is the constant, λ is the wavelength, β is full width at half maximum, and θ is Bragg angle (Rashid et al. 2019).
In Vivo Experimental Investigation
The experiment was carried out on 45 male rabbits with average BW of 1 kg after approval from Ethical Committee. The experimental animals were purchased from local market and housed in steel cages under standard conditions of temperature, light, and ventilation, for 2 weeks before experimental work. Animals were accessed to fed on normal standard diet. After that, they were allowed to fasten overnight, diabetes mellitus was induced in experimental rabbits by IP injection of a single dose of Alloxan monohydrate (160 mg/mL per kg BW), except negative control rabbits which were fed with normal healthy diet throughout the experimental duration. After 72 h of diabetes induction, biochemical assessment was done and recorded to confirm the diabetes in experimental animals. Then animals were divided into nine groups (n = 5) and differentiated by ear tagging. The experimental protocol was followed as described earlier by (Zhang et al. 2019). The treatment of animals of all the groups was carried out as: The Group-I rabbits were treated orally with Normal healthy diet while Group-II rabbits were marked as Positive control group and were not given any treatment after the induction and confirmation of diabetes. Although Group III rabbits were marked as drug control rabbits and were treated with Giblencelamide in the oral dose of 5 mg/20 mL per kg BW. Group IV, V and VI were low (100 mg/mL per kg BW/day), medium (200 mg/mL per kg BW/day) and high dose (300 mg/mL per kg BW/day) aqueous extract of
Blood Collection and Assessment of the Effect of Aqueous Extract and Green Synthesized
After the treatment period of 20 days with aqueous extract of
Statistical Analysis
The obtained data was evaluated by applying One-way Analysis of Variance (ANOVA) using Statistical Package for Social Sciences (SPSS) (R) Version 26 for Windows. Difference was considered statistically significant at p < 0.05. The final results were presented as Mean ± standard deviation (Arise et al. 2023).
Results
Characterization
Full scanned mass spectral analysis using positive and negative electrospray ionization mode revealed the presence of 20 bioactive components. The identification of compounds was carried out on the basis of specific retention time, molecular mass and specific m/z values, which were then identified and compared with NIST reference library. Table 1 exhibits the major MS spectrum identified compounds and were phenolics, flavonoids, and glycosides along with their pharmacokinetic importance. Major peaks were observed by antidiabetic compounds with retention time ranges from 0.93 to 2.47 min. which were Quercitin, Chlorogenic acid, Myricitin, Vanillic acid, and Carnosic acid. Other identified compounds were Germacrene (0.91 min), Δ-Cadinene (1.07 min), Cinnamaldehyde (0.47 min) and has anti-microbial, Apigenin (1.28 min), Spirostanol (1.73 min), Luteolin (1.95 min), Nobiletin (2.55 min), Q-3-O-Rhamnoside (3.28 min), Caffeic acid (1.00 min), Ferulic acid (1.11 min), Syringic acid (1.24), 7,8-Dihydroxyflavone Hydrate (1.49 min), Retusin 8-methyl ether (1.76 min), Kaempferol (1.86 min) and these compounds have antimicrobial, insecticidal, Anti-inflammatory, anti-bacterial potential, anti-inflammatory, antioxidant, anti-amyloidogenic, neuroprotective, cardioprotective, hepatoprotective, and renoprotective potential.
TABLE 1 Quantified phytoconstituents using LC–MS/MS chromatograms of
| Sr. No. | m/z Ratio | MS/MS relative intensity | Retention time | Molecular mass | Compound name | Structure | Pharmacokinetic importance |
| 1. | 206 | 140.92, 144.92,163 | 0.91 | 205.20 | Germacrene |
|
Anti-microbial and insecticidal properties |
| 2. | 220.2 | 176.83, 187.0, 200 | 1.07 | 219.2 | Δ-Cadinene |
|
Anti-inflammatory, anti-bacterial |
| 3. | 117 | 70, 88, 98 | 0.47 | 116 | Cinnamaldehyde |
|
It possesses anti-microbial |
| 4. | 271 | 88, 102, 106 | 1.28 | 270 | Apigenin |
|
Helps in muscle relaxation and sedation, anti-inflammatory, antioxidant, anti-amyloidogenic, neuroprotective |
| 5. | 302.3 | 211, 228, 248 | 1.63 | 301.3 | Quercetin |
|
Antioxidant, anti-inflammatory, anti-diabetic, anti-cancer |
| 6. | 254.3 | 266.8, 274.9, 277 | 1.73 | 253.3 | Spirostanol |
|
Cytotoxic effect |
| 7. | 366.3 | 245, 275, 305.17 | 1.85 | 354 | Chlorogenic acid |
|
Anti-obesity, inhibit development of liver steatosis, improve insulin sensitivity |
| 8. | 284.3 | 339, 351.1, 365.1 | 1.95 | 283 | Luteolin |
|
Anti-inflammatory, anti-allergy, anti-cancer, pro-oxidant |
| 9. | 319 | 254, 276, 289 | 2.31 | 318 | Myricetin |
|
Anti-oxidant, anti-cancer, anti-diabetic |
| 10. | 404.3 | 331.17, 343.17, 371.08 | 2.55 | 403 | Nobiletin |
|
Therapeutic effects against neurological, inflammatory, cardiac, metabolic disorders, anti-tumor |
| 11. | 448.5 | 285, 301, 321.17 | 3.28 | 447 | Q-3-O-Rhamnoside |
|
Cytotoxic effects |
| 12. | 465 | 366.8, 393, 421.1 | 3.51 | 464 | Iso-quercetin |
|
Anti-diabetic, anti-cancer, anti-oxidants |
| 13. | 166 | 107.9, 123, 151 | 0.93 | 167 | Vanillic acid |
|
Anticancer, antiobesity, antidiabetic, antibacterial, anti-inflammatory, and antioxidant |
| 14. | 178.2 | 135, 151, 161 | 1.00 | 179.2 | Caffeic acid |
|
Anti-carcinogenic, anti-inflammatory, antioxidant |
| 15. | 194.2 | 135.9, 158.9, 177 | 1.11 | 195 | Ferulic acid |
|
Prevent skin discoloration |
| 16. | 198.2 | 156.9, 181, 199 | 1.24 | 199 | Syringic acid |
|
Help in preventing diabetes, CVDs, cancer, cerebral ischemia, anti-endotoxic, hepatoprotective |
| 17. | 254.2 | 196.9, 237, 255.1 | 1.49 | 255 | 7,8-Dihydroxyflavone Hydrate |
|
Neuroprotective effect |
| 18. | 268.2 | 255, 251, 269 | 1.76 | 269 | Retusin 8-methyl ether |
|
Antibacterial, antioxidant, anti-inflammatory and antifungal activities |
| 19. | 286.2 | 228, 259, 285 | 1.86 | 287 | Kaempferol |
|
Antioxidant, anti-inflammatory, antimicrobial, cardiovascular, and neuroprotective involve in hormones regulations |
| 20. | 330.2 | 259, 290, 299 | 2.47 | 331.2 | Carnosic acid |
|
Prevent lipids from oxidation, anti-obesity, neuroprotective |
Structural Analysis of
X-Ray diffraction analysis is considered as characteristic technique to accomplish the structural information of nanomaterials like phase nature, lattice parameters, and crystalline structure. The XRD spectral pattern of green synthesized AgNPs using aqueous extract of
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TABLE 2 Average crystalline size calculation and lattice planes.
| Sr. No. | Peak position (2θ) | Theta (θ) | FWHM (β) | Crystallite size D (nm) | d-Spacing (Å) | Lattice planes (hkl) |
| 1. | 37.44 | 18.72 | 0.99 | 8.47 | 2.40 | 1 2 2 |
| 2. | 39.48 | 19.74 | 0.76 | 11.10 | 2.28 | 1 1 1 |
| 3. | 47.86 | 23.93 | 0.46 | 18.89 | 1.89 | 2 0 0 |
| 4. | 58.08 | 29.04 | 0.75 | 12.11 | 1.58 | 2 2 0 |
| 5. | 77.25 | 38.625 | 0.34 | 29.90 | 1.23 | 3 1 1 |
| 6. | 85.45 | 42.725 | 0.27 | 40.05 | 1.13 | 4 2 2 |
Effect of Aqueous Extract and
Effects of different treatment doses on blood glucose level, lipid profile, and renal function tests in control and experimental groups are given in Table 3. After a single dose of Alloxan monohydrate injection, the blood glucose level, triglycerides, urea, creatinine, and cholesterol level were increased significantly (p < 0.05) in all the rabbits of experimental groups as compared to the negative control group treated with a normal diet. When these diabetes-confirmed groups were subjected to treatment with different doses of green synthesized AgNPs, blood glucose level, triglycerides, urea, creatinine, and cholesterol level were significantly (p < 0.05) decreased (100 ± 0.8, 57.66 ± 0.8, 38 ± 0.8, 1.11 ± 0.08, 40 ± 0.00 mg/dL, respectively) at high dose (300 mg/mL per kg BW) as compared to the groups treated with the maximum dose (300 mg/mL per kg BW) of aqueous extract of
TABLE 3 Effect of aqueous extract and AgNPs on blood sugar level, lipid profile and renal function.
| Groups | Blood glucose (mg/dL) | Lipid profile | Renal function test | ||
| Triglycerides (mg/dL) | Cholesterol (mg/dL) | Urea (mg/dL) | Creatinine (mg/dL) | ||
|
Group I Negative control group |
98 ± 1.6ab | 56.2 ± 2.0ab | 39.3 ± 1.7ab | 38 ± 1.1ab | 1.9 ± 0.01ab |
|
Group II Positive control group |
275 ± 2.4aa | 143 ± 1.4aa | 66.2 ± 2.0aa | 75 ± 1.54aa | 2.9 ± 0.01aa |
|
Group III Drug control group |
97 ± 0.8ab | 56.66 ± 0.8ab | 39 ± 0.00ab | 37.66 ± 0.8ab | 1.10 ± 0.00ab |
|
Group IV Aqueous extract (100 mg/mL per kg BW) |
198 ± 1.8aa | 102.2 ± 1.5aa | 62 ± 2.1aa | 57 ± 2.1aa | 2.7 ± 0.03aa |
|
Group V Aqueous extract (200 mg/mL per kg BW) |
176 ± 2.1aa | 75 ± 1.8aa | 58 ± 1.9aa | 55 ± 1.7aa | 2.66 ± 0.01aa |
|
Group VI Aqueous extract (300 mg/mL per kg BW) |
154 ± 2.5aa | 67.5 ± 1.3aa | 53 ± 1.45aa | 51 ± 1.5aa | 2.6 ± 0.02aa |
|
Group VII AgNPs (100 mg/mL per kg BW) |
184 ± 3.2aa | 97.5 ± 1.9aa | 59 ± 1.3aa | 53 ± 1.9aa | 2.59 ± 0.01aa |
|
Group VIII AgNPs (200 mg/mL per kg BW) |
105 ± 0.8ab | 59.66 ± 1.5ab | 42 ± 0.00ab | 36 ± 0.8ab | 1.13 ± 0.08ab |
|
Group IX AgNPs (300 mg/mL per kg BW) |
100 ± 0.8ab | 57.66 ± 0.8ab | 40 ± 0.00ab | 38 ± 0.8ab | 1.11 ± 0.08ab |
Effects of Aqueous Extract and
Oxidative stress is a major cause of diabetes. Studies have reported that Alloxan monohydrate is an active mediator of reactive oxygen species which disturbs the major antioxidant enzymes as well as causes β-cells toxicity resulting in diabetes (im Walde et al. 2002). In present investigation, Alloxan monohydrate (160 mg/ml per kg BW) induces diabetes which is clearly evidenced by the significant (p < 0.05) decrease in the activities of enzymatic antioxidants like CAT, SOD, and GPx in Group II rabbits (1.5 ± 0.01, 3.2 ± 0.01, 698 ± 1.8 IU/mL, respectively) as compared to Group I rabbits (3.9 ± 0.02, 6.2 ± 0.01, 920 ± 1.7 IU/mL, respectively). Effect of different treatment doses on serum oxidative stress biomarkers in control and experimental groups are given in Table 4. Compared to positive control (diabetic) Group II rabbits, the levels of Glutathione peroxidase were significantly (p < 0.05) reduced to normal at high dose concentration (300 mg/mL per kg BW) of both aqueous extract of
TABLE 4 Effects of aqueous extract and AgNPs on major anti-oxidant enzymes.
| Groups | Catalase (CAT) (IU/mL) | Superoxide dismutase (SOD) (IU/mL) | Glutathione peroxidase (GPx) (IU/mL) |
|
Group I Negative control group |
3.9 ± 0.02ab | 6.2 ± 0.01ab | 920 ± 1.7ab |
|
Group II Positive control group |
1.5 ± 0.01aa | 3.2 ± 0.01aa | 698 ± 1.8aa |
|
Group III Drug control group |
3.8 ± 0.08ab | 6.1 ± 0.08ab | 920 ± 2.3ab |
|
Group IV Aqueous extract (100 mg/mL per kg BW) |
2.2 ± 0.03aa | 4.7 ± 0.01aa | 754 ± 2.1aa |
|
Group V Aqueous extract (200 mg/ml per kg BW) |
2.7 ± 0.01aa | 4.9 ± 0.02aa | 788 ± 1.9aa |
|
Group VI Aqueous extract (300 mg/mL per kg BW) |
2.9 ± 0.02aa | 5.1 ± 0.01aa | 820 ± 2.2aa |
|
Group VII AgNPs (100 mg/mL per kg BW) |
2.6 ± 0.01aa | 5.4 ± 0.02aa | 823 ± 1.76aa |
|
Group VIII AgNPs (200 mg/mL per kg BW) |
3.4 ± 0.08ab | 5.9 ± 0.08ab | 912 ± 2.4ab |
|
Group IX AgNPs (300 mg/mL per kg BW) |
3.6 ± 0.08ab | 6.0 ± 0.08ab | 918 ± 2.0ab |
Discussion
Diabetes mellitus is a major health problem and classified into type I and type II diabetes on the basis of induction mechanism. Type I is characterized by a decrease in insulin production due to a reduction in pancreatic functional activity. Although type II is mediated by the prevalence of glucose intolerance and the peripheral cells' decreased sensitivity to insulin. Both types lead to hyperglycemia due to the compromised uptake of glucose by the insulin targets in the periphery (Federiuk et al. 2004; Kashif et al. 2023; Mughal et al. 2024). In the current study, diabetes was induced by a single dose of Alloxan monohydrate, and its effects were studied. Further, it aimed at finding the inhibitory potential of aqueous extract of
The physical characterization of green synthesized AgNPs satisfies the antidiabetic potential of nanodrug. XRD analysis confirmed the crystalline nature of AgNPs which classifies it as an efficient nanodrug. Mass spectral analysis of aqueous extract of
From our current study results, it was observed that Alloxan monohydrate (5 mg/20 mL per kg BW) treated animals showed significantly (p < 0.05) reduced levels of blood glucose, triglycerides, urea, creatinine, cholesterol and down-regulated the levels of antioxidant enzymes when compared with positive control groups. Alloxan monohydrate undergoes a redox reaction with beta cells and causes overproduction of reactive oxygen species like superoxide radicals and hydrogen radicals. Alloxan monohydrate causes the reduction of glutathione, which is an antioxidant. Overproduction of reactive oxygen species and reduction in antioxidants causes higher oxidative stress and consequently necrosis or apoptosis of the beta cells of the Islet of Langerhans (Lenzen 2008). Alloxan monohydrate attacks beta cells and destroys them. Due to the low level of insulin production, glucose levels increase in the bloodstream, resulting in hyperglycemia (Trivedi et al. 2004), which is also shown in our study in alloxanized rabbits. Increased levels of glucose damage the blood vessels and glomeruli, which in turn causes high levels of creatinine, urea and cholesterol in diabetic rabbits as compared to positive control (non-diabetic) rabbits. Published study of Aja et al. (2015) reported an increased level of urea in experimental animals after induction of diabetes through Alloxan monohydrate; hence, it supports the results of our current study.
The results from treatment of animals with varied doses of aqueous extract of
Conclusion
In conclusion, this research works advances our knowledge about the synthesis of silver nanoparticles using
Author Contributions
Sadia Batool: data curation (equal), formal analysis (equal), investigation (lead), methodology (lead), visualization (equal), writing – original draft (equal). Mazhar Abbas: conceptualization (lead), funding acquisition (equal), project administration (lead), resources (equal), supervision (lead), validation (equal). Sidra Ashraf: conceptualization (supporting), formal analysis (equal), validation (equal), writing – original draft (supporting). Muhammad Kamran Rafique: data curation (supporting), formal analysis (equal), investigation (equal), software (supporting), visualization (supporting). Aqsa Mumtaz: data curation (supporting), methodology (equal), visualization (supporting), writing – original draft (equal). Tariq Hussain: conceptualization (supporting), investigation (equal), resources (equal), validation (equal), writing – review and editing (equal). Muhammad Riaz: formal analysis (equal), software (supporting), visualization (equal), writing – review and editing (lead). Ghulam Rasool: formal analysis (equal), validation (equal), visualization (supporting), writing – review and editing (supporting). Muhammad Adnan Ayub: investigation (supporting), software (supporting), validation (equal), writing – review and editing (supporting). Quzi Sharmin Akter: formal analysis (equal), validation (supporting), visualization (supporting), writing – review and editing (equal).
Ethics Statement
The study plan was approved by the research scrutiny committee/Institutional Review Board (IRB), College of veterinary and Animal Sciences, Jhang campus, University of Veterinary and Animal Sciences (UVAS), Lahore, Pakistan.
Conflicts of Interest
The authors declare no conflicts of interest.
Data Availability Statement
The data will be available from Principal and Corresponding authors on reasonable request.
Abdalla, M. S., E.‐S. M. El‐Mahdy, S. Z. Mansour, S. M. Elsonbaty, and M. H. Amin. 2022. “Regulation of Sirtuin‐3 and ERK1/2/p38MAPK by the Combination Ga Nanoparticles/γ‐Radiation Low Dosage: An Effective Approach for Treatment of Hepatocellular Carcinoma.” Journal of Genetic Engineering and Biotechnology 20, no. 1: 1–13.
Abdelmoaty, M. A., M. Ibrahim, N. Ahmed, and M. Abdelaziz. 2010. “Confirmatory Studies on the Antioxidant and Antidiabetic Effect of Quercetin in Rats.” Indian Journal of Clinical Biochemistry 25: 188–192.
Airaodion, A. I., E. O. Ogbuagu, J. A. Ekenjoku, U. Ogbuagu, and V. N. Okoroukwu. 2019. “Antidiabetic Effect of Ethanolic Extract of Carica papaya Leaves in Alloxan‐Induced Diabetic Rats.” American Journal of Biomedical Science & Research 5, no. 3: 227–234.
Aja, P., I. Igwenyi, P. Okechukwu, O. Orji, and E. Alum. 2015. “Evaluation of Anti‐Diabetic Effect and Liver Function Indices of Ethanol Extracts of Moringa Oleifera and Cajanus cajan Leaves in Alloxan Induced Diabetic Albino Rats.” Global Veterinaria 14, no. 3: 439–447.
Alamri, E. S., and H. A. El Rabey. 2024. “The Protective Effects of Vanillic Acid and Vanillic Acid‐Coated Silver Nanoparticles (AgNPs) in Streptozotocin‐Induced Diabetic Rats.” Journal of Diabetes Research 2024: 4873544.
Arise, A. K., S. A. Malomo, M. A. Acho, N. D. Ajao‐Azeez, and R. O. Arise. 2023. “In Vivo Anti‐Diabetic Activity, Physicochemical and Sensory Properties of Kunu Enriched With African Walnut.” Food Chemistry Advances 2: 100315.
Bhusari, S., P. M. Sah, J. Lakkakula, et al. 2023. “Green Synthesis of Silver Nanoparticles via Taxus Wallichiana Zucc. Plant‐Derived Taxol: Novel Utilization as Anticancer, Antioxidation, Anti‐Inflammation, and Antiurolithic Potential.” Green Processing and Synthesis 12, no. 1: 20230051.
El‐Askary, H., H. Handoussa, F. Badria, et al. 2019. “Characterization of Hepatoprotective Metabolites From Artemisia Annua and Cleome Droserifolia Using HPLC/PDA/ESI/MS–MS.” Revista Brasileira de Farmacognosia 29, no. 2: 213–220.
Federiuk, I. F., H. M. Casey, M. J. Quinn, M. D. Wood, and K. W. Ward. 2004. “Induction of Type‐1 Diabetes Mellitus in Laboratory Rats by Use of Alloxan: Route of Administration, Pitfalls, and Insulin Treatment.” Comparative Medicine 54, no. 3: 252–257.
Gupta, A., B. Haque, A. Roy, et al. 2024. “Antioxidant, Dye Degradation, and Molecular Docking Studies of Orange Peel Extract Derived Ag–Fe–Ni Nanoparticles.” Inorganic Chemistry Communications 166: 112599.
Haque, B., A. Gupta, A. Roy, A. Malik, and A. A. Khan. 2024. “Green Fabrication of Ag–Ni–Mn‐Zn Nanoparticles From Watermelon Peels and Its Antioxidant, Dye Degradation and Molecular Docking Studies.” Clean Technologies and Environmental Policy 27: 1–28.
Ibikunle, J. B., E. A. Adebayo, A. M. Oke, J. A. Badmus, T. A. Yekeen, and D. B. Kehinde. 2022. “Anti‐Diabetic Potential of Silver (AgNPs) and Gold (AuNPs) Nanoparticles Synthesized Using an Aqueous Extract of Opuntia ficus indica Cladodes in Wistar Rats.” Tropical Journal of Natural Product Research 6, no. 7: 1152.
Idris, D. S., A. Roy, A. Malik, A. A. Khan, K. Sharma, and A. Roy. 2024. “Green Synthesis of Silver Oxide‐Nickel Oxide Bimetallic Nanoparticles Using Peels of Citrus Sinensis and Their Application.” Journal of Inorganic and Organometallic Polymers and Materials 35, no. 1: 1.
Idris, D. S., A. Roy, A. Subramanian, S. Alghamdi, K. Chidamabaram, and N. F. Qusty. 2024. “Bio‐Fabrication of Silver–Zinc Bimetallic Nanoparticles and Its Antibacterial and Dye Degradation Activity.” Journal of Inorganic and Organometallic Polymers and Materials 34, no. 5: 1908–1919.
Idris, D. S., and A. Roy. 2024a. “Antioxidant and Dye Degradation Activity of Green Synthesized Silver‐Iron Oxide (Ag–Fe2O3) Bimetallic Nanoparticles.” Nano‐Structures & Nano‐Objects 38: 101142.
Idris, D. S., and A. Roy. 2024b. “Biogenic Synthesis of Ag–CuO Nanoparticles and Its Antibacterial, Antioxidant, and Catalytic Activity.” Journal of Inorganic and Organometallic Polymers and Materials 34, no. 3: 1055–1067.
im Walde, S. S., C. Dohle, P. Schott‐Ohly, and H. Gleichmann. 2002. “Molecular Target Structures in Alloxan‐Induced Diabetes in Mice.” Life Sciences 71, no. 14: 1681–1694.
Kashif, M., A. Nasir, Gulzaman, et al. 2023. “Unlocking the Anti‐Diabetic Potential of Gymnema sylvestre, Trigonella Foenum‐Graecum, and Their Combination Thereof: An In‐Vivo Evaluation.” Food Science & Nutrition 11, no. 12: 7664–7672.
Kumar, B., K. Smita, L. Cumbal, and A. Debut. 2014. “Synthesis of Silver Nanoparticles Using Sacha Inchi (Plukenetia volubilis L.) Leaf Extracts.” Saudi Journal of Biological Sciences 21, no. 6: 605–609.
Kumar, M., M. D. Barbhai, M. Hasan, et al. 2022. “Onion (Allium cepa L.) Peels: A Review on Bioactive Compounds and Biomedical Activities.” Biomedicine & Pharmacotherapy 146: 112498.
Lee, H.‐A., S.‐J. Han, S. Hong, Y.‐S. Lee, D.‐W. Kim, and O. Kim. 2014. “Effects of Onion Peel Water Extract on the Blood Lipid Profiles and Glucose.” Korea Journal of Herbology 29, no. 6: 141–148.
Lenzen, S. 2008. “The Mechanisms of Alloxan‐and Streptozotocin‐Induced Diabetes.” Diabetologia 51, no. 2: 216–226.
Macdonald Ighodaro, O., A. Mohammed Adeosun, and O. Adeboye Akinloye. 2017. “Alloxan‐Induced Diabetes, a Common Model for Evaluating the Glycemic‐Control Potential of Therapeutic Compounds and Plants Extracts in Experimental Studies.” Medicina 53, no. 6: 365–374.
Mughal, T. A., S. Ali, S. Mumtaz, et al. 2024. “Evaluating the Biological (Antidiabetic) Potential of TEM, FTIR, XRD, and UV‐Spectra Observed Berberis Lyceum Conjugated Silver Nanoparticles.” Microscopy Research and Technique 87, no. 6: 1286–1305.
Naik, H. S., P. M. Sah, M. Dhangade, et al. 2023. “Synthesis of a Silica Matrix With ZnO Nanoparticles for the Fabrication of a Recyclable Photodegradation System to Eliminate Methylene Blue Dye.” Green Processing and Synthesis 12, no. 1: 20230157.
Narayanasamy, P., P. Balasundar, S. Senthil, et al. 2020. “Characterization of a Novel Natural Cellulosic Fiber From Calotropis gigantea Fruit Bunch for Ecofriendly Polymer Composites.” International Journal of Biological Macromolecules 150: 793–801.
Ozcan, M. E., M. Gulec, E. Ozerol, R. Polat, and O. Akyol. 2004. “Antioxidant Enzyme Activities and Oxidative Stress in Affective Disorders.” International Clinical Psychopharmacology 19, no. 2: 89–95.
Perumalsamy, R., and L. Krishnadhas. 2022. “Anti‐Diabetic Activity of Silver Nanoparticles Synthesized From the Hydroethanolic Extract of Myristica fragrans Seeds.” Applied Biochemistry and Biotechnology 194, no. 3: 1136–1148.
Rashid, S., M. Azeem, S. A. Khan, M. M. Shah, and R. Ahmad. 2019. “Characterization and Synergistic Antibacterial Potential of Green Synthesized Silver Nanoparticles Using Aqueous Root Extracts of Important Medicinal Plants of Pakistan.” Colloids and Surfaces B: Biointerfaces 179: 317–325.
Riaz, M., R. Khalid, M. Afzal, et al. 2023. “Phytobioactive Compounds as Therapeutic Agents for Human Diseases: A Review.” Food Science & Nutrition 11, no. 6: 2500–2529.
Rohilla, A., and S. Ali. 2012. “Alloxan Induced Diabetes: Mechanisms and Effects.” International Journal of Research in Pharmaceutical and Biomedical Sciences 3, no. 2: 819–823.
Saratale, G. D., R. G. Saratale, D.‐S. Kim, D.‐Y. Kim, and H.‐S. Shin. 2020. “Exploiting Fruit Waste Grape Pomace for Silver Nanoparticles Synthesis, Assessing Their Antioxidant, Antidiabetic Potential and Antibacterial Activity Against Human Pathogens: A Novel Approach.” Nanomaterials 10, no. 8: 1457.
Singh, A. K., H. K. Rana, V. Singh, T. C. Yadav, P. Varadwaj, and A. K. Pandey. 2021. “Evaluation of Antidiabetic Activity of Dietary Phenolic Compound Chlorogenic Acid in Streptozotocin Induced Diabetic Rats: Molecular Docking, Molecular Dynamics, In Silico Toxicity, In Vitro and In Vivo Studies.” Computers in Biology and Medicine 134: 104462.
Stoica, F., R. N. Rațu, I. D. Veleșcu, N. Stănciuc, and G. Râpeanu. 2023. “A Comprehensive Review on Bioactive Compounds, Health Benefits, and Potential Food Applications of Onion (Allium cepa L.) Skin Waste.” Trends in Food Science & Technology 141: 104173.
Summer, M., S. Ali, U. Fiaz, T. Hussain, R. R. M. Khan, and H. Fiaz. 2024. “Revealing the Molecular Mechanisms in Wound Healing and the Effects of Different Physiological Factors Including Diabetes, Age, and Stress.” Journal of Molecular Histology 55, no. 5: 637–654.
Tahir, H., F. Rashid, S. Ali, M. Summer, and M. Afzal. 2024. “Synthesis, Characterization, Phytochemistry, and Therapeutic Potential of Azadirachta indica Conjugated Silver Nanoparticles: A Comprehensive Study on Antidiabetic and Antioxidant Properties.” Biological Trace Element Research 203: 1.
Trivedi, N. A., B. Mazumdar, J. D. Bhatt, and K. G. Hemavathi. 2004. “Effect of Shilajit on Blood Glucose and Lipid Profile in Alloxan‐Induced Diabetic Rats.” Indian Journal of Pharmacology 36, no. 6: 373–376.
Vu, C. M., S. Ghotekar, N. M. Viet, H. Dabhane, R. Oza, and A. Roy. 2022. “Green Synthesis of Plant‐Assisted Manganese‐Based Nanoparticles and Their Various Applications.” In Plant and Nanoparticles, 339–354. Springer.
Zhang, X.‐F., Z.‐G. Liu, W. Shen, and S. Gurunathan. 2016. “Silver Nanoparticles: Synthesis, Characterization, Properties, Applications, and Therapeutic Approaches.” International Journal of Molecular Sciences 17, no. 9: 1534.
Zhang, Z., G. Xin, G. Zhou, et al. 2019. “Green Synthesis of Silver Nanoparticles From Alpinia officinarum Mitigates Cisplatin‐Induced Nephrotoxicity via Down‐Regulating Apoptotic Pathway in Rats.” Artificial Cells, Nanomedicine, and Biotechnology 47, no. 1: 3212–3221.
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