Combined Effects of Metformin, Quercetin, and Fractionated Gamma Irradiation on MiR-107-Mediated Brain Injury in HFD/STZ-Induced Diabetic Rats

Omayma A R Abozaid; Fatma S M Moawed; Hanaa F B Gabr; Marwa A Esmat

doi:10.1177/15593258251367627

. 2025 Aug 11;23(3):15593258251367627. doi: 10.1177/15593258251367627

Combined Effects of Metformin, Quercetin, and Fractionated Gamma Irradiation on MiR-107-Mediated Brain Injury in HFD/STZ-Induced Diabetic Rats

Omayma A R Abozaid ¹, Fatma S M Moawed ², Hanaa F B Gabr ¹, Marwa A Esmat ^3,^✉

PMCID: PMC12340211 PMID: 40801060

Abstract

Objectives: MiR-107 upregulation represents a key target among the multiple pathways associated with T2DM. Given that drug combinations offer significant therapeutic potential, this study investigated the antidiabetic, antioxidant, and anti-inflammatory effects of γ-irradiation, the quercetin (common flavonol), and the metformin (biguanide) on HFD/STZ-induced diabetic rats’ brains. Methods: Diabetic rats were treated with metformin (200 mg/kg b.w./day) alone or in combination with quercetin (30 mg/kg b.w./day) and/or γ-radiation (fractionated 4 Gy) for 4 weeks. Results: The diabetic group exhibited increased body weight, blood glucose, HOMA-IR, AChE, MMP-2, and lipid peroxidation, while serum insulin and brain GPx antioxidant enzyme activity were significantly decreased. Similarly, BDNF and SIRTI transcript levels and IRS1 protein expression were reduced, whereas NF-κB and MiR-107 transcript levels were elevated in diabetic rats compared to controls. Histopathological examination of diabetic brain tissue corroborated the biochemical findings. Treatment with metformin alone or in combination with γ-irradiation and/or quercetin effectively mitigated these effects by downregulating miR-107 and improving brain function, with optimal results achieved through combined therapy. Conclusion: The synergistic combination of Metformin, fractionated gamma-irradiation, and quercetin effectively attenuates brain injury in diabetic rats by enhancing IRS1/SIRT1/BDNF signaling while suppressing MiR-107/NF-κB pathways.

Keywords: biguanide, MiR-107, NF-κB, BDNF, SIRT1, IRS1

Introduction

Insulin resistance is a pathological condition in which target cells are unable to uptake & metabolize glucose in response to insulin leading to elevated insulin, and glucose levels and the development of type 2 diabetes mellitus (T2DM), which subsequently causes oxidative stress in brain tissues. Long-term brain oxidative stress can eventually result in central nervous system (CNS) inflammation and neuronal cell death.¹

The discovery of microRNAs (miRs) revealed new insights into the molecular mechanisms underlying insulin resistance and T2DM.² MiRs are small (18-22) nucleotides non-coding RNA molecules that are powerful regulators of gene-expression and are implicated in playing critical roles in physiological and pathological processes.³ MiR-107, specifically, has been proven to be a crucial regulator in neurodegenerative diseases and metabolic diseases. This microRNA directly binds to the 3′UTR sequences of target genes, thereby controlling their levels of expression. Notably, miR-107 is elevated in obese mice and directly targets insulin receptor substrate 1 (IRS1) mRNA, leading to reduced expression of IRS1 protein and consequent insulin resistance. In addition, miR-107 suppressed the expression of SIRT1, a key deacetylase involved in neuroprotection and metabolic homeostasis, and lowered the levels of brain-derived neurotrophic factor (BDNF) levels, which are essential for neuronal survival and synaptic plasticity. Silencing miR-107 improved glucose homeostasis and insulin sensitivity radically.²

From such mechanistic insight, therapeutic strategies of miR-107 and its downstream targets (IRS1/SIRT1/BDNF pathway) are promising therapeutic options for diabetic brain complications. Anti-diabetic drugs that enhance insulin sensitivity, for example, metformin (MET), have promise to treat neurodegenerative disease.^4,5 MET reduces hyperglycemia through 3 mechanisms: inhibition of hepatic glucose production, inhibition of gastrointestinal absorption of glucose, and peripheral insulin sensitization.^6,7 However, MET monotherapy is hampered by side effects like lactic acidosis, liver toxicity, and diarrhea.^8,9

Studies indicate that the combination of metformin with adjuvant agents enhances therapeutic effectiveness in diabetic cerebral injury compared to monotherapy.^10,11 Natural polyphenolic compounds are particularly promising as combination drugs, as they can modulate T2DM-associated biomarkers and affect cellular and molecular mechanisms involved in insulin resistance and hyperglycemia.¹² Quercetin (Q) (3,3,4′,5,7-pentahydroxyflavone) is a polyphenolic flavonoid with immunoprotective, anti-inflammatory, and anti-apoptotic effects.¹³ Importantly, quercetin enhances islet function by increasing insulin secretion by 44-70% in isolated rat islets.¹⁴ In addition, quercetin can modulate miR-107 expression and potentially rehabilitate IRS1/SIRT1/BDNF signaling.¹⁵

Low-dose gamma irradiation (LDR) is another new therapeutic treatment that exhibits hormetic activity by enhancing metabolic function, DNA repair, and protein synthesis.^16,17 LDR has been found to exhibit anti-oxidative, antidiabetic, anti-apoptotic, anti-inflammatory, and anti-carcinogenic effects in various disease models.¹⁸ Irradiation exposure at appropriate doses triggers adaptive protective mechanisms including activation of protective genes and pathways, potentially reversing neurodegenerative processes.^19,20 Fractionated radiotherapy (1 Gy/week for 4 weeks) allows for the repair of sublethal damage to normal nervous tissue, achieving optimal therapeutic benefits with minimal toxicity.²¹

Therefore, in this study, we investigated the synergistic neuroprotective effects of metformin, in combination with gamma irradiation and/or quercetin, against miR-107-mediated signaling pathways (ie, IRS1/SIRT1/BDNF and NF-κB) in HFD/STZ-induced diabetic brain damage in rats. We assumed that combination therapy would more effectively downregulate miR-107 expression and restore downstream neuroprotective signaling than monotherapies.

Material and Methods

Drugs and Chemicals

A chemical powder termed streptozotocin (stz), weighing 1 gram, was purchased from Sigma Aldrich (St. Louis, Mo, USA). Animals were intra-peritoneally injected by 35 mg/ kg body weight STZ (dissolved in 0.1 M citrate buffer, pH 4.5).

Metformin (200 mg/kg body weight)²² and Quercetin (30 mg/kg body weight)²³ were purchased as a chemical powder from (Sigma-Aldrich, USA) Company, where they were liquefy in 0.1 mL distilled water and applied orally daily for 4 weeks -All other chemicals used in the present study were purchased from the respective vendor of local commercial stores.

Radiation Facility

Rats whole body were exposed to fractionated doses of gamma irradiation, which was achieved at National center for Radiation Research and Technology NCRRT (Cairo, Egypt) using a Canadian Gamma cell-40 (Cs¹³⁷), a biological irradiator manufactured by Canada Ltd Ottawa, Ontario, Canada. Animals were placed in a plastic sample tray with lid and supports provided for use in the sample cavity. The unit has ventilation holes which align with ventilation parts through the main shield to provide a means for uniform irradiation for small animals at a dose rate of 0.621 Gy/min at the time of experiment according to the guidelines of the Protection and Dosimetry Department. In rats, irradiation of whole body was delivered in a separate fractions up to a cumulative dose of 4 Gy (1 Gy/fraction for 4 consecutive weeks).²⁴

Experimental Animals

Ninety male Wistar rats (weighting 160-180 g and ranging in age from 6 to 7 weeks) were bought from the Animal Research Institute (Cairo, Egypt). Throughout the experimental period, rats were obtained ad libitum of food and water, as well as housed under the same laboratory conditions with a light/dark cycle of 12h, humidity of 50 ± 15%, and temperature of 25 ± 3°C. All experimental principles were executed in compliance with the standards and instruction of the Faculty of veterinary medicine local Institutional Animal Ethics Committee, Benha University, Egypt, supplied instruction and methods that were employed whilst the experiment was being conducted in Egyptian Atomic Energy Authority. The protocol number for approval is BUFVTM 04/01-/22. With approval from Egyptian Atomic Energy Authority’s Central Scientific Publishing Committee (Ref No: 235/7/2024).

Induction of Diabetes Mellitus Type 2

To establish a non-genetic rat pattern of T2DM, 80 rats were fed a high fat diet (HFD) with a total energy of 25.07 kJ/g containing 60% fat, 20% carbohydrate, and 20% protein for consecutive 4 weeks.²⁵ After fasting overnight, HFD-fed rats obtained a single intraperitoneal streptozotocin (STZ), 35 mg/kg body weight, freshly prepared in citrate buffer (0.05 M, pH 4.5).²⁶ The level of the blood glucose was tracked 3 days later using a glucometer (Accu-Chek ® Aviva, Roche Diagnostics, India). Rats that showed levels of blood glucose of >200 mg/dl were labelled as the group with diabetes and were chosen to examine the antidiabetic effect of metformin, gamma radiation, and quercetin each alone or in combination.²⁵

Experimental Design

Ninety rats were used and separated randomly into 2 groups.

Group1 (Normal control): 10 rats received a standard diet (3% fat, 54% carbohydrate, 26% protein, 17% vitamins, and minerals with a total energy of 14.43 kJ/g) and water.

Group 2 (Diabetic control, HFD/STZ) 80 rats fed with high fat diet (HFD) and injected with streptozotocin (STZ) and received saline orally for 4 weeks. After induction diabetes about 38 rats died from STZ dose.

Randomly, the rats with diabetes were firstally distributed into 7 sets, with 6 rats within each group. In Group 3 (HFD/STZ + IR), the diabetic rats whole body were exposed to fractionated gamma radiation dose(1 Gray/week) for 4 weeks up to a total dose of 4 Gray at a certain period of time each week (beginning of the week), In Group 4 (HFD/STZ + Q), the diabetic rats received 30 mg/kg body weight of Quercetin orally daily for 4 weeks, In Group 5 (HFD/STZ + IR + Q), the whole body of rats with diabetes were exposed to 1 Gray and after 1 hour received 30 mg/kg body weight of Quercetin orally for 4 weeks, In Group 6 (HFD/STZ + Met), the diabetic rats received metformin at a dose (200 mg/kg body weight /rat) once daily via oral gavage for 4 weeks,²⁷ In Group 7 (HFD/STZ + MET + IR), the diabetic whole body rats exposed to 1 Gray and after 1 hour received metformin orally via oral gavage, In Group 8 (HFD/STZ + MET + Q), the diabetic rats were received both metformin and Quercetin orally by oral gavage, Finally, Group 9 (HFD/STZ + MET + IR + Q), the diabetic whole body rats exposed to 1 Gray gamma radiation and received both metformin and Quercetin orally via oral gavage orally for 4 weeks.

Biological Sampling

Upon completion of the experiment, animals were sacrificed under urethane anaesthesia (1.5 g/kg b.wt, ip). Samples of blood were obtained by heart puncture and allowed to coagulate at room temperature, and then centrifuged at 4000 r/min for 15 min using a centrifuge (Hettich Universal 32A, Germany). After collection, the sera were further separated and stored at 80°C until needed.²⁸ Following an incision made on the dorsal side of the skull, the brains were taken out, cleaned, and homogenized in ice-cold phosphate buffer saline (pH 7.4) at a ratio of 1:10 (w/v). Homogenization was performed in physiological saline using Teflon homogenizer (Glass-Col, Terre Haute, Ind., USA) and after centrifugation at 10,000×g for 15 min at 4°C using refrigerated centrifuge (K3 Centurion Scientific, Ltd, London, UK), then the supernatant was collected and preserved frozen at −20°C until used for the biochemical analyses. Some brain tissues were rinsed in 10% neutralized formalin for histopathological examination and the other part of brain were preserved frozen at −80°C until used for molecular analysis study.

Body Weight, Fasting Blood Glucose, Insulin, and HOMA-IR Estimation

The body weight changes in the experimental groups were measured and compared with the control group. Also, Blood glucose levels during fasting (FBG) were measured through a tail vein blood sample, using portable Accu-Chek Active glucometer (Roche Diagnostic, Manheim, Germany). Additionally, the rat-specific insulin enzyme linked immunoassay Elisa kit from Mercodia AB, Uppsala, Sweden, was used to quantify the fasting blood insulin level (FBI). The insulin resistance (IRI) index was calculated by the homeostasis model of assessment (HOMA-IR) as follows²⁹: HOMA-IR = FBG x FBI /22.5.

Biochemical Estimation of Oxidative Stress Markers in the Brain Tissue

Tissue malondialdehyde (MDA) levels and glutathione peroxidase (GP-x) activity, were measured calorimetrically using a commercial kit (Bio-diagnostic, Cairo, Egypt), for each, based on the manufacturer’s instructions. The levels of MDA and activity of GPx were stated as µmol/g, U/g tissue, respectively.

Enzyme-Linked Immunosorbent Assay (ELISA)

Serum levels of Acetylcholineestrase concentrations were determined using commercially available fast detect kit acetylcholineestrase (AchE) (rat) from (BioVision, Inc. San Francisco, Milpitas, USA) in compliance with the manufacturer’s instructions. Furthermore, levels of serum matrix metalloproteinase-2 (MMP-2) was determined using rat MMP-2 ELISA Kit (MyBioSource cat. no: MBS2515523) based on the protocols provided by the manufacturers.

Western Immunoblotting

Frozen brain tissue was crushed in an ice-cold RIPA buffer (0.1% SDS, 1% Triton, 0.5% deoxycholate, 1 mM EDTA, 20 mM Tris [pH 7.4], 10 mM NaF, 150 mM NaCl, and 0.1 mM phenyl-methyl sulfonyl fluoride).The brain homogenate samples were centrifuged at 12 000×g for 15 min at 4°C to remove debris. The protein content was quantified by the procedure of Oosta et al.³⁰ Sample of brain tissues having 20 μg of total cellular protein were laden and detached on SDS–PAGE (10%) gel electrophoresis, then moved onto the nitrocellulose membrane. Consequently, the membranes were preserved for 120 min with a blocking buffer containing 5% bovine serum albumin (BSA) to reduce nonspecific binding sites, and then each membrane was incubated overnight at 4°C with rat monoclonal anti-IRIS1 (1:750) in BSA (5%) in Tris-buffered saline and 0.05% Tween-20 (TBST). After that, the membrane was rinsed twice with TBST for 30 min. Consequently, the blots were held with the secondary antibody following washing for 120 min at room temperature.³¹ The protein bands were portrayed with an alkaline phosphatase-specific kit (ab-83369) and, posteriorly, the bands were quantified using a scanning laser densitometer through densitometric analysis of the autoradiograms (Biomed Instrument Inc., USA). The findings were presented as arbitrary units after normalization for β-actin.

Quantitative Real-Time PCR Analysis for BDNF, SIRT1 and NF-κB

The whole RNA was separated from freshly isolated brain tissues utilizing (Thermo Scientific, Fermentas, #K0731) kit according to the manufacturer’s guiding principle. Then, to validate the integrity of RNA, 1% agarose gel electrophoresis blotted with ethidium bromide was used, and then reverse transcribted into cDNA with (Thermo Scientific, Fermentas, #EP0451) Reverse Transcriptase rendering to the manufacturer’s protocol. BDNF (Brain-derived neurotrophic factor ), SIRT1 (Sirtuin 1, also known as NAD-dependent deacetylase sirtuin-1) and NF-κB (Nuclear factor kappa-light-chain-enhancer of activated B cells) mRNA levels were evaluated using 2X Maxima SYBR Green/ROX qPCR Master Mix following the manufacturer protocol (Thermo scientific, USA, #K0221) and gene specific primers. A Step 1 Plus real time thermal cycler (Applied Biosystems, Life technology, USA) was used for quantitative PCR (Applied Biosystems, Life technology, USA) was used for quantitative PCR. The relative quantity per gene in the brain tissues of rats was normalized to β-actin and the relevant expression fold change was valued by the 2^−ΔΔCt approach, which was standardized to the mRNA level of the β-actin housekeeping gene.³² The reactions were kept thrice in triplicate to ensure the reproducibility of results. Table 1 includes the primer sequences and the typical thermal profile for the PCR reaction.

Table 1.

Forward and Reverse Primers Sequence for Primers Used in q-RTPCR and the Conditions for PCR Thermal Cycling Included

Gene	Forward primer (^/5 ------ ^/3)	Reverse primer (^/5 ------ ^/3)	Conditions for real-time-PCR
NFκB	CCTAGCTTTCTCTGAACTGCAAA	GGGTCAGAGGCCAATAGAGA	95°C for 10 min95°C for 15 s60°C for 30 s72°C for 30 s40 cycles
BDNF	TGTTGGGGAGACGAGATTTT	CGTGGACGTTTGCTTCTTTC
Sirt1	CAGCAACACCTCATGATTGG	TCCCACAGGAAACAGAAACC
β actin	AAGTCCCTCACCCTCCCAAAAG	AAGCAATGCTGTCACCTTCCC

Open in a new tab

Quantitative Real Time Polymerase Chain Reaction (qRT-PCR) of microRNA-107 (MiR-107)

Total RNA was isolated with mirVana PARIS tissue isolation kits (Ambion, Life Technologies, USA, #AM1556) according to the manufacturer’s instructions, the total RNA was converted into cDNA using Quanti-Mir RT kit (SBI, System Biosciences, Cat. # RA420A-1). Real-time PCR with SYBR Green was used to measure the differential expression levels of miRNAs, with U6 as an endogenous reference control to normalize the expression of each levels of MiR-107. The isolated cDNA were amplified using 2X Maxima SYBR Green/ROX qPCR Master Mix following the manufacturer protocol (Thermo scientific, USA, #K0221) and miRNA specific forward primer and a universal reverse primer included with the purchase Quanti-Mir RT kit (Table 2). A StepOnePlus real time thermal cycler (Applied Biosystems, Life technology, USA) was used for quantitative PCR. The relative amount of MiR-107 gene in rat’s brain tissues of was standardized to U6 and the relative amplification fold modify was valued by the 2^−ΔΔCt approach, which was standardized to the mRNA level of the U6 housekeeping gene.³² The reactions were kept thrice in duplicates to ensure the reproducibility of results. Table 2 includes the primer sequences and the typical thermal profile for the PCR reaction.

Table 2.

Forward and Reverse Primers Sequence for Real Time PCR and Their Conditions

Gene	Primer sequence (^/5 ------ ^/3)	Conditions for real-time-PCR
miRNA-107	AGCAGCATTGTACAGGGCTATCA	95°C for 10 min 95°C for 15 s 60°C for 30 s 72°C for 30 s 40 cycles
U6	TGACACGCAAATTCGTGAAGCGTTC
Universal reverse primer	CCAGTCTCAGGGTCCGAGGTATTC

Open in a new tab

Histopathological Analysis

The excised brain tissue samples from all groups were taken, collected, cleaned and immediately fixed in 10% neutral buffered formalin solution for histopathology, pH 7.4. The specimens were routinely handled as the following manner: dehydrated in ascending concentration of ethanol, cleaned in xylene, imbedded in paraffin wax and sectioned at 5-micron thickness by microtome.³³ Prepared slides sections were stained by hematoxylin and eosin and examined by light digital microscope (Olympus xc30. Tokyo. Japan) at a magnification of 400 X. They were then scored with the following histological grading system³⁴: 0, no damage; 1, a few neurons damaged; 2, numerous neurons damaged; 3, majority of neurons damaged; 4, vast majority of neurons damaged.

Statistical Analyses

The values of results were investigated using GraphPad Prism-8 (GraphPad Software Inc., USA) and represented as mean ± SEM. The data were examined for the body weight and fasting blood glucose test using a two-way analysis of variance (ANOVA) followed by a Tukey’s post hoc test and one-way ANOVA followed by a Tukey’s test At (P < 0.001).

Results

Changes in Body Weight in the Different Studied Groups

As shown in Figure 1, the body weight change results revealed significant treatment effects over the 8-week study period. Control rats exhibited normal growth with a modest weight gain of approximately 40g from baseline. In contrast, the HFD + STZ diabetic group showed excessive weight gain of 240g, likely due to diabetic hyperphagia and metabolic dysfunction. Treatment interventions demonstrated varying degrees of therapeutic benefit in controlling this excessive weight gain. The HFD + STZ + IR and HFD + STZ + Q groups showed substantial but incomplete reduction in weight gain (190g and 170g respectively), while the combination treatment HFD + STZ + IR+Q provided better control with 150g weight gain. Metformin-based treatments showed the most effective weight management, with HFD + STZ + MET alone achieving 85g weight gain, and combination therapies (HFD + STZ + MET+HR, HFD + STZ + MET+Q, and HFD + STZ + MET+IR + Q) all maintaining weight gains between 60-75g, approaching levels closer to normal control values. Statistical analysis indicated significant differences between treatment groups (P < 0.001, denoted by different letters), demonstrating that combination therapies, particularly those including metformin, were most effective in preventing diabetes-associated excessive weight gain.

Changes in Fasting Blood Glucose Tolerance in the Different Studied Groups

Our results in Figure 2 demonstrated significant changes in blood glucose levels across treatment groups in the HFD/STZ diabetic rat model at initial (0 week; after the induction of diabetes and prior to initiation of treatments) and final (8 week; just before sacrifice) time points, all groups started with similar baseline glucose levels around 200-230 mg/dl, but showed dramatically different outcomes by week 8. The control group maintained normal glucose levels around 190 mg/dl, while the HFD + STZ group exhibited markedly elevated glucose concentrations (P < 0.05), confirming successful diabetes induction. Treatment interventions showed varying degrees of therapeutic efficacy in managing this glucose elevation, with single therapies (IR, Q) achieving moderate improvements (340-350 mg/dl), and dual combination IR + Q reaching around 320 mg/dl. However, metformin-containing regimens proved most effective at controlling the HFD + STZ-induced hyperglycemia, with MET alone achieving 300 mg/dl, while combination therapies including MET + IR (290 mg/dl), MET + Q (280 mg/dl), and the most comprehensive treatment MET + IR + Q (260 mg/dl) demonstrated the best glucose control outcomes. These findings indicate that combination therapies, particularly those including metformin with quercetin and gamma radiation, effectively attenuate diabetes-induced hyperglycemia compared to single interventions, suggesting potential combined effects that could translate to enhanced neuroprotection by preventing glucose-mediated neurotoxicity.

Effect of Different Treatments on Fast Blood Glucose, Fast Serum Insulin, and HOMA-IR

Figure 3, demonstrated that high-fat diet combined with streptozotocin (HFD + STZ) successfully induced a type 2 diabetes model in rats, characterized by significantly elevated glucose levels, decreased insulin secretion, and increased insulin resistance (HOMA-IR) compared to controls. Various treatment interventions showed differential effects on these metabolic parameters. While all treatments reduced hyperglycemia to some extent, combinations involving metformin (MET) exhibited the most pronounced effects, with MET + IR + Q demonstrating the strongest glucose-lowering action. Regarding insulin levels, most treatment groups maintained low insulin similar to the untreated HFD + STZ group; however, the MET + Q and MET + IR + Q combinations uniquely showed improved insulin secretion. The HOMA-IR index revealed that MET-containing treatments most effectively reduced insulin resistance, with MET + IR and MET + IR + Q combinations providing the greatest improvement. These findings suggest that combination therapies, especially those including MET + IR + Q, may offer superior management of diabetes-related metabolic disruptions in this obesity-induced diabetes model, potentially impacting subsequent effects on brain tissues.

Effect of the Different Treatments on Oxidative Stress in Diabetic Rats

Based on the oxidative stress data presented in Table 3, our research demonstrated significant alterations in brain tissue oxidative stress markers in HFD + STZ-induced diabetic rats. The HFD + STZ group exhibited markedly increased lipid peroxidation (MDA levels increased compared to controls) and severely depleted antioxidant capacity (GPx decreased vs controls). All treatment interventions ameliorated these oxidative stress markers to varying degrees, with combination therapies showing superior effects. The MDA levels progressively decreased with single treatments (IR, Q, MET) and showed further reductions with MET + IR + Q providing the most significant reduction. Simultaneously, GPx activity was gradually restored across treatment groups, with the greatest recovery observed in the triple combination therapy. The statistical analysis revealed significant differences between treatments (P < 0.001), demonstrating that combination therapies, particularly those including metformin, effectively counteracted diabetes-induced oxidative stress in brain tissues, suggesting potential neuroprotective benefits.

Table 3.

Effect of Different Treatments on Oxidative Stress in Diabetic Rats

Groups	Parameters
Groups	MDA ± SEM (μmol/g tissue)	GPx ± SEM (U/g tissue)
Control	63.33 ± 2.69	25.29 ± 0.79
HFD + STZ	162.49 ± 5.25^a	2.75 ± 0.18^a
HFD + STZ + IR	139.15 ± 4.71^a,b	5.38 ± 0.22^a
HFD + STZ + Q	122.19 ± 4.63^a,b	8.62 ± 0.29^a,b
HFD + STZ + IR + Q	113.65 ± 4.12^a,b	11.85 ± 0.36^a,b
HFD + STZ + MET	101.50 ± 3.85^a,b,c	14.74 ± 0.41^a,b,c
HFD + STZ + IR + MET	92.37 ± 3.44^a,b,c,d	17.22 ± 0.59^a,b,c,d
HFD + STZ + Q + MET	85.22 ± 3.19^b,c,d,e	19.18 ± 0.63^b,c,d,e
HFD + STZ + IR+ Q + MET	74.25 ± 3^b,c,d,e	22.07 ± 0.7^b,c,d,e

Open in a new tab

Values in the table are means ± SEM (n = 6). Differences between the groups were assessed by one-way analysis of variance (ANOVA) followed by Tukey’s test, where P < 0.001 Columns denoted with.

^asignificant from control.

^bsignificant from HFD + STZ.

^csignificant from HFD + STZ + IR.

^dsignificant from HFD + STZ + Q.

^esignificant from HFD + STZ + IR + Q.

^fsignificant from HFD + STZ + MET.

^gsignificant from HFD + STZ + MET + IR.

^hsignificant from HFD + STZ + MET + Q.

ⁱsignificant from HFD + STZ + MET + IR + Q at (P < 0.001). MDA = Malondialdehyde; GPx = Glutathione peroxidase.

Influence of Different Treatments on (Acetylcholine Esterase) AchE Activity

The current data demonstrated significant alterations in acetylcholinesterase (AChE) activity across different treatment groups in your HFD/STZ diabetic rat model. The control group exhibited baseline AChE activity, while the HFD + STZ group showed markedly elevated enzyme activity (P < 0.001), indicating potential cholinergic dysfunction associated with the diabetic condition. Treatment with IR alone did not significantly affect the elevated AChE levels. The Q-containing treatments began showing moderate improvements, with HFD + STZ + Q and HFD + STZ + IR+Q demonstrating progressive reductions in AChE activity (P < 0.001). More notable decreases were observed with metformin-containing regimens, where HFD + STZ + MET, HFD + STZ + MET+IR, HFD + STZ + MET+Q, and HFD + STZ + MET+IR + Q all exhibited substantial reductions in AChE activity (P < 0.001). The combination of IR + MET + Q produced significantly greater reductions in AChE activity compared to any single treatment alone (P < 0.001), indicating the benefits of a multi-modal therapeutic approach. These findings suggest that combination therapies may provide enhanced neuroprotective effects by modulating cholinergic function in diabetic conditions, with the triple combination approaching values. Figure 4

Figure 4. — Effect of Different Treatments on AchE Level. Each Value Represents Mean ± SEM (n = 6). Columns Denoted With ˝a˝ Significant From Control, ˝b˝: Significant From HFD + STZ, c˝ Significant From HFD + STZ + IR, ˝d˝ Significant From HFD + STZ + Q, ˝e˝ Significant From HFD + STZ + IR+Q, ˝f˝ Significant From HFD + STZ + MET, ˝g˝ Significant From HFD + STZ + MET+IR, ˝h˝ Significant From HFD + STZ + MET+Q and ˝i˝ Significant From HFD + STZ + MET+IR + Q at (P < 0.001). One-Way ANOVA Followed by Turkey’s Test

Influence of Different Treatments on MMP-2 in the Brain

Our results demonstrated significant changes in MMP-2 levels across treatment groups in the HFD/STZ diabetic rat model. The HFD + STZ group showed markedly elevated MMP-2 concentrations compared to controls (P < 0.001), indicating heightened neuroinflammation. Treatment interventions reduced MMP-2 levels to varying degrees, with single treatments (IR, Q) providing modest reductions and combination therapies showing progressive improvements (P < 0.001). Metformin-containing regimens demonstrated superior efficacy, with the triple combination HFD + STZ + MET+IR + Q producing the most substantial reduction in MMP-2 levels (P < 0.001), approaching control values. These findings suggest that combination therapies, particularly those including metformin with quercetin and Radiation, effectively attenuate diabetes-induced neuroinflammation by modulating MMP-2 activity in brain tissues. Figure 5

Figure 5. — Effect of Different Treatments on MMP-2. Each Value Represents Mean ± SEM (n = 6). Columns Denoted With ˝a˝ Significant From Control, ˝b˝: Significant From HFD + STZ, c˝ Significant From HFD + STZ + IR, ˝d˝ Significant From HFD + STZ + Q, ˝e˝ Significant From HFD + STZ + IR+Q, ˝f˝ Significant From HFD + STZ + MET, ˝g˝ Significant From HFD + STZ + MET+IR, ˝h˝ Significant From HFD + STZ + MET+Q and ˝i˝ Significant From HFD + STZ + MET+IR + Q at (P < 0.001). One-Way ANOVA Followed by Tukey’s Test

Influence of Different Treatments on IRS1 Protein Expression in the Brain

The results of the western blot examination of rat brain homogenates in Figure 6 revealed significant alterations in brain IRS1 protein expression across treatment groups in the HFD/STZ diabetic rat model. Control rats exhibited robust IRS1 expression, while HFD + STZ rats showed markedly diminished levels (P < 0.001), indicating impaired insulin signaling. Single treatments (IR, Q) provided modest improvements (P < 0.001), while combination therapies showed progressively enhanced restoration of IRS1 expression. Metformin-containing regimens demonstrated superior efficacy, with the triple combination HFD + STZ + MET+IR + Q yielding the most substantial recovery of IRS1 levels (P < 0.001), approaching control values. These findings indicate that combination therapies, particularly those incorporating metformin with quercetin and gamma radiation, effectively ameliorate diabetes-induced disruptions in brain insulin signaling pathways, suggesting potential neuroprotective benefits.

Influence of Different Treatments on the MiR-107, BDNF, SIRT1 and NF-κB Gene Expression

Our results in Figure 7 depicted a significant alterations in gene expression profiles across treatment groups in the HFD/STZ diabetic rat model. The HFD + STZ group exhibited markedly elevated miR-107/U6 and NF-κB expression levels compared to controls (P < 0.001), while simultaneously showing dramatically reduced BDNF and SIRT1 expression (P < 0.001), indicating profound neuroinflammatory and neurotrophic disruptions. Single interventions with gamma radiation (IR) or quercetin (Q) modestly improved these gene expression patterns (P < 0.001). The dual combination IR + Q showed enhanced benefits over individual treatments. Metformin treatment demonstrated comparable effects to the IR + Q combination. Notably, the combination therapies involving metformin showed progressively greater improvements in all 4 gene markers, with HFD + STZ + MET+IR showing moderate recovery, HFD + STZ + MET+Q exhibiting substantial improvement, and the triple combination HFD + STZ + MET+IR + Q demonstrating the most significant restoration of gene expression patterns (P < 0.001), approaching levels observed in healthy controls. These findings indicate that combination therapies, particularly those including metformin with quercetin and gamma radiation, effectively ameliorate diabetes-induced dysregulation of key neuroprotective and neuroinflammatory pathways, suggesting potential benefits for brain health in diabetic conditions.

Histopathology Results

Figure 8 shows the impact of different treatments on the histopathology of the brain of diabetic rats and the scoring system presented in Table 4. Examined brain tissue sections in (normal control) showed regular structure of cerebral cortex score (0) (Figure 8A1) and regular structure of hippocampal score (0) (Figure 8A2). In the (HFD + STZ) Sections group, the cerebral cortex showed focal gliosis and apoptosis of neuronal cells, which appeared as densely basophilic bodies surrounded by a halo zone score (3) (Figure 8B1), and the hippocampal dentate gyrus region revealed atrophy with cellular disorganization, marked shrinkage in size and number of pyramidal cells, and darkened nuclei score (3) (Figure 8B2). In the (HFD + STZ + IR) group, cerebral cortex exhibited neuronal degeneration that appeared in the form of shrunken and darkly pyknotic nuclei and apoptosis of neuronal cells, which appeared as densely basophilic bodies surrounded by a halo zone score (3) (Figure 8C1), and the hippocampal dentate gyrus region revealed atrophy, neuronal degeneration, and nuclear pyknosis of molecular cells with a loss of pyramidal cells score (3) (Figure 8C2). In the (HFD + STZ + Q) group the cerebral cortex showed apoptosis of neuronal cells, which surrounded by a halo zone score (3) (Figure 8D1), and the hippocampal dentate gyrus region revealed cellular disorganization, marked shrinkage in size and number of pyramidal cells, and apoptosis of some granular cells score (3) (Figure 8D2). In the (HFD + STZ + IR+Q) group, the cerebral cortex showed neuronal degeneration that appeared in the form of shrunken and darkly pyknotic nuclei; apoptosis of neuronal cells, which appeared as densely basophilic bodies surrounded by a halo zone, was seen score (3); (Figure 8E1); and the hippocampal dentate gyrus region showed neuronal disorganization, degeneration, and nuclear pyknosis of molecular cells score (2); (Figure 8E2). In the (MET) group, the cerebral cortex of the brain sections revealed neuronal degradation, which appeared as darkly stained cells surrounded by per-cellular haloes spaces, and apoptosis of neuronal cells, which was associated with focal gliosis, were detected and scored (3) (Figure 8F1), and the hippocampal dentate gyrus region revealed marked swelling of granular cells and shrinkage in size and number of pyramidal cells, with darkened nuclei seen score (2) (Figure 8F2). In the (HFD + STZ + MET) group, the cerebral cortex exhibited moderate neuronal degeneration characterized by neuronal swelling and gliosis score (2) (Figure G1) and hippocampal dentate gyrus region revealed cellular disorganization with vacuolar degeneration of granular cell layers score (2) (Figure G2). In the (HFD + STZ + MET+IR) group, the cerebral cortex showed mild swelling of neuronal cells score (1) (Figure H1), and the hippocampal dentate gyrus region revealed cellular organization, and vacuolations of granular cell layers score (1) (Figure H2). In the (HFD + STZ + MET+IR + Q) group, cerebral cortex showed few numbers of degenerated neuronal cells which appeared darkly stained shrunken with per-cellular haloes score (1) (Figure 8I1), and the hippocampal dentate gyrus region revealed cellular organization and shrinkage in size of pyramidal cells, with darkened nuclei being seen score (1) (Figure 8I2).

Table 4.

Histopathological Scoring System in Different Groups in Cerebral Cortex and Hippocampus

Groups	Cerebral cortex score	Hippocampus score
Group 1 [Control]	0	0
Group 2 [HFD + STZ]	3 ± 0.14^a	3 ± 0.09^a
Group 3 [HFD + STZ + IR]	3 ± 0.13^a	3 ± 0.07^a
Group 4 [HFD + STZ + Q]	3 ± 0.08^a	3 ± 0.08^a
Group 5 [HFD + STZ + IR+Q]	3 ± 0.11^a	2 ± 0.08^a,b,c
Group 6 [HFD + STZ + MET]	3 ± 0.10^a	2 ± 0.06^a,b,c,d
Group 7 [HFD + STZ + MET+IR]	2 ± 0.12^a,b,c,d,e	2 ± 0.07^a,b,c,d
Group 8 [HFD + STZ + MET+Q]	1 ± 0.05^a,b,c,d,e,f	1 ± 0.03^{a,b,c,d,e,f,g}
Group 9 [HFD + STZ + MET+IR + Q]	1 ± 0.04^{a,b,c,d,e,f,g}	1 ± 0.02^{a,b,c,d,e,f,g}

Open in a new tab

Statistical analysis: Each Colum Values in the table represent means ±SEM (n = 6). Differences between the groups were assessed by one-way analysis of variance (ANOVA) followed by Tukey’s test, where P < 0.001 Columns denoted with ˝a˝ significant from Control, ˝b˝: significant from HFD+STZ, ˝c˝ significant from HFD+STZ+IR, ˝d˝ significant from HFD+STZ+Q, ˝e˝ significant from HFD+STZ+IR+Q, ˝f˝ significant from HFD+STZ+MET, ˝g˝ significant from HFD+STZ+MET+IR, ˝h˝ significant from HFD+STZ+MET+Q and ˝i˝ significant from HFD+STZ+MET+IR+Q at (p < 0.001). Values represent histopathological damage scores (0 = normal, 1 = Mild, 2 = Moderate, 3 = severe damage).

As shown in Table 4 histopathological examination revealed severe brain damage (score 3) in both cerebral cortex and hippocampus of HFD + STZ diabetic rats compared to normal controls (score 0). Combination treatments showed progressive neuroprotection, with metformin-based therapies being most effective, particularly the quadruple combination (HFD + STZ + MET+IR + Q) which reduced damage to mild levels (score 1) in both brain regions (P < 0.001).

Histopathological analysis of the cerebral cortex and hippocampus revealed significant morphometric variations across different experimental groups. In the cerebral cortex, notable differences were observed in neuronal swelling, nuclear pyknosis, apoptosis, and glial cell morphology. Similarly, the hippocampal region demonstrated comparable morphological changes, with additional observations of intra-cellular edema. Group 1, serving as the control, consistently displayed the lowest quantitative morphometric values across all measured parameters. Groups involving HFD/STZ combinations (Groups 2-9) exhibited progressive and varied morphological alterations, suggesting potential complex interactions between metabolic and neurological pathological processes. Figure 8

Discussion

Insulin resistance is considered 1 of the greatest challenges faced by modern medicine. Recent studies reported that miRs have a profound role in several aspects like insulin resistance, obesity, and T2DM.² Therefore, the results presented herein attempt to estimate and correlate the levels of miR-107 in diabetic rats as well as treated rats with gamma radiation and/or quercetin and favor their use, in combination with metformin, in controlling HFD/STZ-induced diabetes in rat’s brains.

The link between diabetes and neuropathological diseases is thought to be due to a number of factors, including hyperglycaemia, hyperinsulinemia, ROS production, and inflammation.³⁵ T2DM develops in cases of dysfunction of insulin generation and secretion from pancreatic-β cells and insulin resistance.³⁶ Prior research has demonstrated that the HFD/STZ-treated experimental animals were used to establish a non-genetic model of T2DM in order to further mimic the pathology of such a human disease. While HFD induces insulin resistance, the low STZ dosage causes mild impairment in β cell function, resulting in hyperglycaemia, generation of ROS, and hyperinsulinemia, and thus T2DM.^37,38 In the present investigation, fasting levels of blood glucose (FBG) were remarkably elevated while levels of fasting serum insulin were reduced in the HFD/STZ rat model related to the normal group, these results were in agreement with Shawky et al.³⁷ Furthermore, in regards to the insulin resistance index (HOMA-IR), the untreated diabetic group showed a significant increase in the insulin resistance when compared to normal control animals. Similarly, previous studies reported significantly higher HOMA-IR values in untreated diabetic rats compared to the normal control animals.³⁹ The suggested explanation for this is that the rats have been given HFD and then received a STZ, resulting in disruptions in the function of the pancreatic β-cells via the generation of ROS that cause hyperglycaemia and hyperinsulinemia.^38,39 On the other side, treatment diabetic rats with metformin, gamma radiation or quercetin, or both of the last 2 groups showed a better amelioration in FBG, serum insulin level, and HOMA-IR in comparison to the untreated diabetic group, where the decrease in FBG was accompanied by an increase in the insulin level and linked to a decline in insulin resistance in various treated groups. Notably, the combination therapy groups showed a more potent enhanced effect on improvement of these parameters when compared to the untreated diabetic animals rather than only 1 agent. This may be attributed to the enhanced combined treatment effects in the STZ/HFD group, which in turn leads to exert antidiabetic activity by decreasing the blood glucose level and improving pancreatic β-cell function that leads to promoting insulin release and enhanced sensitivity to insulin.³⁹

In the present investigation, animals with diabetes demonstrated a notable increase in weight at the final of the trial, compared to their control littermates, AJiboye et al⁴⁰ agreed with our observation. On the contrary, treating diabetic rats with metformin alone or combined with either gamma radiation, quercetin, or both exhibited a significant reduction in weight unlike the diabetic animals without treatment. The combined agents had an enhanced effect on the rise in body weight, rather than either agent alone; this might be explained by the treatment regimen’s capacity for controlling the level of blood sugar.

It was discovered that diabetes causes oxidative cellular injury brought on by hyperglycaemia.⁴¹ This is consistent with earlier research demonstrating that diabetes markedly changed the oxidative stress in the brain markers, as evidenced by decreased enzymatic antioxidant properties, specifically GPx, besides elevated MDA levels (a marker of lipid peroxidation).⁴² The results of this research revealed that levels of peroxidation of lipid in diabetic rat brains were markedly elevated while GPx activity was noticeably lowered. The reason for the raised MDA and decline in the GPx activity could be caused by hyperglycaemia causes overproduction of ROS that overwhelms antioxidant mechanisms and initiates lipid peroxidation, which accelerates cellular oxidative injury.⁴¹ Oppositely, the increased production of MDA and decreased content of GPx were obviously restored by the different treatments against the diabetic rats group, suggesting a clear antioxidant and antidiabetic activity of them.

Cholinergic neurotransmitters, eg, acetylcholine (ACh) are strongly expressed in the hippocampal region and cerebral cortex of the brain and responsible for memory and cognitive functions, which are catalysed by the breakdown of acetylcholinesterase (AchE). The increase in cholinesterase activities causes neuronal function impairment, as found mostly in chronic diabetes patients.⁴³ In hyperglycaemia, reduced insulin transmission in the brain lowers ACh synthesis and alters the insulin signalling pathway, leading to memory loss.⁴⁴ According to our investigation, the brain level of AchE is elevated significantly in diabetic rats induced by hfd/stz relative to the diabetic control group. The elevated activity of AChE resulted in reduced cholinergic action, which caused a diminution of acetylcholine.⁴⁵ Conversely, rats treated with previous therapies showed a reduction in the AchE activities by managing oxidative stress. All combined treatment groups revealed enhancement in AChE activities, and the combined of IR + MET + Q produced significantly greater reductions in AChE activity compared to any single treatment alone (P < 0.001), indicating the benefits of a multi-modal therapeutic approach, suggesting amelioration of neuronal damage, which may be associated with correction of memory decline, so they exert anti-cholinesterase activities in the brains of encephalopathy rats.

MMPs are endopeptidases that breakdown the most proteinous components of the extracellular matrix, or ECM, and basement membranes.⁴⁶ MMP-2, or Gelatinase-A, is involved in the functioning of the brain-blood barrier (BBB) integrity and brain diseases that are characterized by inflammation, oxidative stress, and cerebral injury.⁴⁷ It has been showed that MMP-2 actively breaks down tight junction proteins at the BBB, further increasing BBB permeability.⁴⁸ A damaged BBB leads to an influx of brain-circulating pro-inflammatory cytokines, exacerbating neuroinflammation. The current study showed that the MMP-2 expression in the brain of diabetic rats was significantly enhanced compared to the normal control group and was decreased by treating diabetic rats with metformin alone or in combination with gamma radiation, quercetin, or both of them. The MMP-2 elevation in the brain, is followed by a disturbance of the BBB, enhanced neuroinflammation, and decreased cognitive function.⁴⁹ Additionally, our data confirm a possibility that prolonged hyperglycaemia might be related to increased activity of MMP-2 expression level by increasing intracellular ROS, which disturbs the harmony between oxidation and antioxidants and causes inflammation.⁵⁰ But the combined treatment agents MET + IR + Q have been suggested to has anti-oxidant and anti-inflammatory effects and modulate BBB integrity, which leads to a decline in the action of MMP-2.

Insulin receptor substrate-1 (IRS-1) is is a key modulator of insulin signaling, and low IRS-1 levels are thought to be a sign of insulin resistance in clinical studies. Upon insulin binding to its receptor, IRS-1 is phosphorylated at tyrosine residues. This phosphorylated tyrosine residue plays a critical effect of initiating a sequences of downstream insulin signaling that translocate glucose transporter-4 (GLUT4) to the cell membrane to transport a substantial part of the circulating glucose.⁵¹ Dysregulation of IRS1 signaling is among the fundamental mechanisms of the development of diabetes. A rise in oxidative damage & inflammation activated protein kinases that are caused by hyperglycemia inhibit insulin-induced IRS1 tyrosine phosphorylation in diabetes, therefore deactivating or supressing the insulin pathway which reduces glucose disposal, referred to as insulin resistance.^51,52 Our present study revealed suppression of the IRS1 protein in the diabetic group compared to control group. Hyperglycaemia causes a rise in inflammation additionally to ROS generation that leads to impairment in insulin signalling.⁵³ Oppositely, treatment diabetic rats with metformin alone or with either gamma radiation, quercetin, or both showed enhancement in IRS1 expression level. It is suggested that these treatments show neuroprotective, anti-diabetic, antioxidant, and anti-inflammatory roles, which in turn enhance insulin signaling.

In diabetic patients and animal models, glucose metabolism in the brain is profoundly affected. The transport of glucose, glycolysis, the pentose phosphate pathway, and the tricarboxylic acid cycle are all disrupted. These abnormalities lead to decreased adenosine triphosphate synthesis and increased oxidative stress and inflammation. Consequently, this cascade results in reduced synthesis of neurotransmitters and their modulators, disrupted synaptic plasticity, and ultimately neuronal damage.⁵⁴ Chronic inflammation has been linked to disruption of the growth factors belonging to the neurotrophin family, particularly brain-derived neurotrophic factor (BDNF).⁵⁵The BDNF serves a crucial effect on the pathophysiology of T2DM owing to enhancing glucose metabolism, insulin sensitivity and regulating synaptic plasticity.⁵⁴ Zou et al⁵⁶ study confirmed that BDNF level in the brain tissue was positively correlated with that in the blood serum. In the current investigation, BDNF transcript levels in the brain tissue of diabetic rats were declined relative to normal control. According to earlier research, diabetes significantly lowered the level of serum BDNF relative to normal control,^57,58 that aligns with our findings. It is found that brain BDNF transcript level downregulated in diabetic rats allows the upregulation of two synaptic plasticity markers, spinophilin and synaptophysin, suggesting a neurodegenerative function of BDNF. Also, BDNF increased hyperglycemia-induced microglial suppression and increased elevated levels of inflammatory factors, eg, TNF-α, IL-6 resulting in neuroinflammation,⁵⁴ moreover, elevated the levels of glucose inhibit the output of BDNF from the brain.⁵⁹ Conversely, BDNF expression levels are increased in all treated diabetic rats. This may link to the antidiabetic and anti-inflammatory impact of BDNF in addition to modulating synaptic function in the diabetic hippocampus. So, BDNF upregulation enhancement synaptic damage and ameliorates neuroinflammation induced by hyperglycaemia.

MicroRNAs are small powerful non-coding nucleotides that regulate gene expression and play an important role in inflammation and oxidative stress and contribute to obesity development.³ They can silence gene expression by inducing mRNA degradation or repressing mRNA translation and regulate the transcription of genes through binding to the 3′ untranslated region (3′UTR) of the mRNA of the target gene, causing transcriptional inhibition or degradation.⁶⁰ MiR-107 is among the most interesting miRNAs for assessing T2DM and resistance of insulin.⁶⁰ The level of miR-107 was increased in overweight and obese individuals compared to normal-weight individuals. Herein, the current study showed higher expression levels of the miR-107 transcript in the brain of the diabetic group in comparison with the control group. These findings were consistent with those accomplished by Šimonienė et al,⁶¹ who reported that the level of miR-107 gene expression is up-regulated, and its dysregulation has been linked to the correlation between miR-107 and insulin resistance. Also, it has demonstrated that miR-107 directly binds the CAV-1 3UTR sequence, which is necessary for stabilizing the structure of the insulin receptor to allow proper insulin signaling. Moreover, the decreased transcript levels of miR-107 led to an improvement in glucose homeostasis and insulin sensitivity.⁶² Limiting the activity of the endonuclease enzyme DICER, a member of the endonucleases family 111 that is important for converting miR precursors into mature miRs, is another way that miR-107 contributes to resistance of glucose and insulin metabolism. This suggested that certain mature miR might feedback to regulate dicer expression.⁶³ Conversely, the outcome of all diabetic treated groups relative to the diabetic group revealed that a decline in the expression level of miR-107 due to all different treatments boosts sensitivity to insulin, either directly or indirectly, this ought to decrease the expression of miR-107.

More interestingly, it is found that BDNF was the direct downstream objective of miR‐107. MiRNA-107 has the ability to control the expression of BDNF at the transcriptional level by pairing with the base of the 3′- untranslated region (3′-UTR) of BDNF mRNA.⁶⁴ According to earlier research that found BDNF was a downstream regulator of miR-107 when the overexpression of miR-107 dramatically reduced the degree of BDNF mRNA.^64,65

SIRT1 is a nicotinamide adenine dinucleotide (NAD+)-dependent deacetylase, and it is 1 of the Sirtuins family members that deacetylates histone and non-histone proteins.⁶⁶ SIRT1 has been involved in insulin resistance and impaired β-cell function, which are the hallmarks of T2DM.⁶⁷ Many investigations have revealed that oxidative stress conditions (ie, ROS overproduction) can lead to a decrease in the expression of SIRT1 activity in diabetic rats, both in vivo and in vitro.⁶⁸ In the current research, qRT‐PCR results in the group of diabetes revealed that the transcription of the SIRT1 gene was downregulated relative to the normal group, which seems to be related to the oversupply of ROS leading to a dysregulation of the balance between ROS and SIRT1, therefore leading to an increase inflammatory response. Conversely, treating diabetic rats with different previous agents is able to activate SIRT1 directly or indirectly. Reports indicate that Sirt1 has a brain protective role by modulating the expression of antioxidant enzymes, anti-inflammatory, and reducing ROS. Invariably, the use of various therapies agonists of SIRT1, that directly increase SIRT1 activity attenuates oxidative stress and inflammatory responses and related tissue injuries. SIRT1 upregulation also promotes β cell recovery, which regulates insulin secretion.⁶⁹

NF-κB signaling is a master switch system in oxidative stress that activates pro-inflammatory and pro-oxidant responses in diabetic rats.¹ The present investigation revealed a significant inflammatory response in the brain of the diabetic rat group, as evidenced by elevated mRNA NF-κB expression in comparison with the normal group. It’s been proposed that NF-κB overexpression can lead to enhanced oxidative stress, thereby affecting the BBB permeability, which leads to increased Para cellular permeability of solutes, ultimately producing brain injury, which is linked to cognitive damage rats with diabetes.⁷⁰ Also, it’s been proven that the NF-κB route is triggered under high glucose exposure, which causes the release of a huge number of inflammatory cytokines, which consequently causes β cell dysfunction in the hyperglycaemic state.^70,71 Therefore, NF-κB, plays a vital role in controlling inflammation and oxidative stress in diabetic rat’s brains. Notably, treatment with different agents relative to the untreated diabetic group exhibited significant improvements in NF-κB expression in relation to the diabetic group. The combined therapies showed a decline in NF-κB gene expression, which participates in the neuroprotective effects; the co-treatment might exert anti-oxidant, anti-inflammatory, and antidiabetic activity than metformin monotherapy in HFD/STZ-induced diabetic rats.

The pathway of the NF-κB signalling is provoked by post-translational histone modifications like acetylation, deacetylation, phosphorylation, and methylation, which generate an ‘NF-κB -signalling code’.⁷² Many lysine sites on NF-κB’s p65 subunit may be acetylated, promoting the transcription of NF-κB and its capacity to bind to target genes’ promoter regions to drive the inflammatory response.⁷³ Throughout the inflammation, NF-κB can be directly inhibited by SIRT1 in the inflammatory signaling pathway, where SIRT1 has the ability to attach to the NF-κB p65 subunit directly and specifically eliminate the alteration of acetylation at lysine 310 (k310), hence, preventing the transcriptional activity of p65 and decreasing expression of its pro-inflammatory focus genes.⁷⁴ Furthermore, RelA/p65’s deacetylation at lysine 310 promotes methylation at lysines 314 and 315, which is necessary for the ubiquitination and destruction of RelA/p65.⁷⁵

The level of miR-107 was increased in overweight and obese individuals compared to normal-weight individuals, which decreased SIRT1 levels by directly binding to a target sequence in the 3′-untranslated region of SIRT1 mRNA, leading to a reduction NF-κB and a concomitant increase in ROS. This finding suggests that quercetin suppresses HFD-induced inflammation by eliminating miRNA-107 mediated repression of SIRT1 and subsequently regulating SIRT1-NF-κB-mediated inflammation.

The histopathological study of the hippocampus and cerebral cortex of diabetic rats was consistent with the biochemical tests. The diabetic group showed morphological changes indicating nerve cell injury, which agrees with previous studies.⁷⁶ Hyperglycaemia-induced neuro-inflammation and oxidative stress are suggested mechanisms for diabetic neuronal degeneration in the brain.⁷⁷ Treatment with either metformin alone or combined with either gamma radiation or quercetin partially alleviated the histopathological changes. The 3 combined therapy was able to reverse these changes to an apparently normal architecture, supporting the importance of good glycaemic control and the nootropic effects of metformin, gamma radiation, and quercetin.

In high-fat diet plus streptozotocin (HFD + STZ)-diabetic rats, the use of metformin, quercetin, and low dose gamma irradiation together represent combined therapy which significantly downregulates expression of miR-107. Metformin’s actions are partially explained by increased insulin sensitivity secondary to SIRT1 activation, as well as decreased glucose production from the liver. In addition quercetin has also notable antioxidant properties with strong anti-inflammatory defense which protects pancreatic β-cells and improves their glucose metabolism by inhibiting NF-κB signaling pathways.⁷⁸ Low-dose gamma irradiation induces hormesis, upregulating endogenous antioxidant systems and enhancing cellular stress resistance through activation of BDNF pathways and improved mitochondrial function.⁷⁹ Furthermore, this combination therapy is known to downregulate miR-107 expression, which is known to be elevated in diabetic state and contributes to the insulin resistance by targeting the Insulin receptor substrate-1 (IRS-1) and brain-derived neurotrophic factor (BDNF).⁸⁰ The suppression of miR-107 by this combined treatment enhances IRS-1/SIRT1 insulin signaling pathways while simultaneously reducing NF-κB-mediated inflammation and promoting BDNF-dependent neuroprotection in peripheral tissues. The HFD + STZ model would likely show improved glycemic control, reduced oxidative markers, enhanced pancreatic function, and restored miR- 107/IRS-1/SIRT1/BDNF signaling axis with concurrent NF-κB suppression under this therapeutic regimen.⁸¹

Limitations

This study has several limitations that should be considered when interpreting the results. The relatively short duration of the study, spanning only 8 weeks, may have been insufficient to observe significant changes in diabetic neurodegeneration. Furthermore, the study focused solely on molecular changes, excluding behavioural and functional tests, which are crucial for evaluating changes in neurological and cognitive functions in treated animals. Their exclusion was necessitated by the pre-established scope and parameters of the tissue sample collection.

Conclusions

In this investigation, gamma radiation and quercetin were found to protect the brain from HFD/STZ-induced T2DM brain damage with metformin synergistically, which provided an approach to alleviating anti-diabetic and neurodegenerative diseases. Taken together, the functional role of miR-107 on scavenging free radical, improving insulin sensitivity, activating SIRT1/BDNF, and lessening the NF-κB signaling pathway. In addition, it ameliorated the damage of brain tissues and reduced body weight, HOMA-IR, MMP-2, AchE, and MDA caused by elevated glucose levels. Furthermore, it alleviated the expression of IRS1 and ROS production while restoring the antioxidant capacity. Moreover, our data demonstrates that combined treatment with biguanide, gamma irradiation, and flavonol produces significantly stronger beneficial outcomes compared to monotherapies, supporting our central hypothesis that a multi-modal approach is more effective for mitigating brain injury in type 2 diabetic rats. Taken together, gamma radiation and flavonol with biguanide may have a synergy anti-diabetic activity. Our findings may facilitate the understanding of the novel effects of gamma radiation, quercetin alone or combined with the anti-diabetic drug MET and suggest a newly recognized benefit of gamma radiation or quercetin in T2DM. The data from this research suggest that the combination of gamma radiation and/or quercetin with metformin has the potential to be developed into alternative means for the treatment or amelioration of the condition of neurodegenerative disease by this target. Overall, our results support the therapeutic potential of metformin combined with gamma radiation and quercetin, particularly in targeting brain-related pathways in diabetic neurodegeneration. While our results are promising, future research should include longer-term studies, larger sample sizes, varied dosages, and comprehensive behavioural assessments. (Figure 9)

Figure 9. — Mechanisms Underlying Insulin Resistance, Oxidative and Inflammatory Pathway Suppression by Combining Metformin With Gamma Radiation and Quercetin. They Promote the Activation of Insulin Signaling Molecules IRS1through Caveolin1 (CAV-1). In Addition, They Enhance the Cellular Function via MIR-107 Downregulation. They Alleviate Diabetic Complications by Inhibition of Stressful Stimuli and Improve Antioxidant Capacity Through NF-κB Downregulation which Influenced by Acetylation Caused by Activation of SIRT1 .Also, They Improve Glucose and Insulin Homeostasis by Activation BDNF. They Exert Their Anti-inflammatory Efficiencies by Interrupting the ROS Mediated Inflammation and Down-Regulate all Inflammatory Mediators. (↑): Up-Regulated Targets; (↓) Down-Regulated Targets

Footnotes

Author contributions: Omayma A. R. Abozaid and Fatma S. M. Moawed designed the study. Fatma S. M. Moawed and Hanaa F. B. Gabr carried out the practical work. Marwa A Esmat performed the data analysis and wrote the draft of the manuscript and critically read and revised the manuscript. All authors approved the manuscript.

Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). This research did not receive any specific grant from funding agencies in the public, commercial, or not for profit sectors.

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

ORCID iDs

Fatma S. M. Moawed https://orcid.org/0000-0002-5792-0815

Marwa A. Esmat https://orcid.org/0000-0002-4608-4540

Ethical Approval

Animal ethics were approved by the Experimental Animal Ethics Committee of Faculty of veterinary medicine local Institutional, Benha University, Egypt (BUFVTM 04/01-/22).

Consent for Publication

It is neither a human study nor describing human transplantation studies. It is experimental research that was performed in accordance with The Animal Ethics Committee of the Faculty of veterinary medicine, Benha University, Egypt (BUFVTM 04/01-/22). With approval from Egyptian Atomic Energy Authority’s Central Scientific Publishing Committee (Ref No: 235/7/2024).

Data Availability Statement

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.*

References

1.Wang HJ, Zhang LB, Sun SP, et al. Duodenal-jejunal bypass improves hypothalamic oxidative stress and inflammation in diabetic rats via glucagon-like peptide 1-mediated Nrf2/HO-1 signaling. World J Diabetes. 2024;15(2):287-304. doi: 10.4239/wjd.v15.i2.287 [DOI] [PMC free article] [PubMed] [Google Scholar]
2.Chen Y, Liu X, Zhang Y, et al. Type 3 diabetes and metabolic reprogramming of brain neurons: causes and therapeutic strategies. Mol Med. 2025;31(1):1. doi: 10.1186/s10020-025-01101-z [DOI] [PMC free article] [PubMed] [Google Scholar]
3.Carreras A, Diaz-Torga G, Morales C, et al. MicroRNAs as regulators of insulin signaling: research updates and potential therapeutic perspectives in type 2 diabetes. Int J Mol Sci. 2018;19(12):3705. doi: 10.3390/ijms19123705 [DOI] [PMC free article] [PubMed] [Google Scholar]
4.Bhattacharya S, Ahsan CR, Dutta P, et al. Metformin: beyond diabetes management to neuroprotection and cognitive enhancement. Curr Pharmacol Rep. 2025;11:1-18. doi: 10.1007/s40495-025-00395-1 [DOI] [Google Scholar]
5.Zou J, Chen Z, Liang C, et al. Metformin in elderly type 2 diabetes mellitus: dose-dependent dementia risk reduction. Brain. 2024;147(4):1474-1484. doi: 10.1093/brain/awad347 [DOI] [PubMed] [Google Scholar]
6.LaMoia TE, Shulman GI. Cellular and molecular mechanisms of metformin action. Endocr Rev. 2021;42(1):77-96. doi: 10.1210/endrev/bnaa023 [DOI] [PMC free article] [PubMed] [Google Scholar]
7.Rena G, Hardie DG, Pearson ER. The mechanisms of action of metformin. Diabetologia. 2017;60(9):1577-1585. doi: 10.1007/s00125-017-4342-z [DOI] [PMC free article] [PubMed] [Google Scholar]
8.Crowley MJ, Diamantidis CJ, McDuffie JR, et al. Clinical outcomes of metformin use in populations with chronic kidney disease, congestive heart failure, or chronic obstructive pulmonary disease: a systematic review. Ann Intern Med. 2017;166(3):191-200. doi: 10.7326/M16-1901 [DOI] [PMC free article] [PubMed] [Google Scholar]
9.McCreight LJ, Bailey CJ, Pearson ER. Metformin and the gastrointestinal tract. Diabetologia. 2016;59(3):426-435. doi: 10.1007/s00125-015-3844-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
10.Shi GJ, Li Y, Cao QH, et al. Quercetin and metformin synergistically reverse endothelial dysfunction in the isolated aorta of streptozotocin-nicotinamide-induced diabetic rats. Sci Rep. 2022;12(1):20943. doi: 10.1038/s41598-022-25739-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
11.Liu C, Liu T, Zheng S, et al. MicroRNAs in diabetic macroangiopathy. Cardiovasc Diabetol. 2024;23(1):376. doi: 10.1186/s12933-024-02405-w [DOI] [PMC free article] [PubMed] [Google Scholar]
12.Bahadoran Z, Mirmiran P, Azizi F. Dietary polyphenols as potential nutraceuticals in management of diabetes: a review. J Diabetes Metab Disord. 2013;12(1):43. doi: 10.1186/2251-6581-12-43 [DOI] [PMC free article] [PubMed] [Google Scholar]
13.Wang Y, Zhao H, Sheng X, et al. Quercetin: Benefits, Side Effects, Dosage, and Foods. Healthline; 2024. Available at. https://www.healthline.com/nutrition/quercetin [Google Scholar]
14.Liu R, Zhang T, Yang H, et al. Quercetin ameliorates diabetic encephalopathy through SIRT1/ER stress pathway in Db/db mice. Aging (Albany NY). 2020;12(8):7015-7030. doi: 10.18632/aging.103059 [DOI] [PMC free article] [PubMed] [Google Scholar]
15.Zhang Y, Yang X, Shi H, et al. The role of miR-29 family in cancer progression, tumor microenvironment, drug resistance, and therapeutic implications. Cancer Commun. 2021;41(10):940-963. doi: 10.1002/cac2.12213 [DOI] [Google Scholar]
16.Calabrese EJ, Dhawan G, Kapoor R, Iavicoli I, Calabrese V. What is hormesis and its relevance to healthy aging and longevity? Biogerontology. 2015;16(6):693-707. doi: 10.1007/s10522-015-9594-x [DOI] [PubMed] [Google Scholar]
17.Tang FR, Loke WK. Molecular mechanisms of low dose ionizing radiation-induced hormesis, adaptive responses, radioresistance, bystander effects, and genomic instability. Int J Radiat Biol. 2015;91(1):13-27. doi: 10.3109/09553002.2014.937510 [DOI] [PubMed] [Google Scholar]
18.Xu P, Huecksteadt TP, Harrison R, Hoidal JR. Diabetes drug metformin may protect against radiation exposure. PLoS One. 2024;19(8):e0306008. doi: 10.1371/journal.pone.0306008 [DOI] [PMC free article] [PubMed] [Google Scholar]
19.Radic T, Al-Ouran R, Junck L, et al. Radioprotective effect of the anti-diabetic drug metformin. Cancers (Basel). 2024;16(14):2607. doi: 10.3390/cancers16142607 [DOI] [PMC free article] [PubMed] [Google Scholar]
20.Ng KP, Manjeet K, Mathis A, et al. A comprehensive review of the clinical utility of and indications for low-dose radiotherapy. Oncology. 2021;99(7):429-441. doi: 10.1159/000516034 [DOI] [Google Scholar]
21.Zahran AM, Nafady A, Saad K, et al. Concerted outcome of metformin and low dose of radiation in modulation of cisplatin induced uremic encephalopathy via renal and neural preservation. Life Sci. 2021;273:119317. doi: 10.1016/j.lfs.2021.119317 [DOI] [PubMed] [Google Scholar]
22.Al Za'abi M, Ali BH, Al SY, et al. The effect of metformin in diabetic and non-diabetic rats with experimentally-induced chronic kidney disease. Biomolecules. 2021;11:814. doi: 10.3390/biom11060814 [DOI] [PMC free article] [PubMed] [Google Scholar]
23.Ojo OO, Fatokun DI, Ejidike IP, Awolope RU, Sanni SO. Quercetin zinc and iron metal complexes protect against sodium arsenite intoxication in the hepato-renal system of wistar rats via the oxidative stress pathway. J Toxicol. 2022;2022:6178261. doi: 10.1155/2022/6178261 [DOI] [PMC free article] [PubMed] [Google Scholar]
24.Khandelwal M, Manglani K, Gupta S, Tiku AB. Gamma radiation improves AD pathogenesis in APP/PS1 mouse model by potentiating insulin sensitivity. Heliyon. 2020;6(7):e04499. doi: 10.1016/j.heliyon.2020.e04499 [DOI] [PMC free article] [PubMed] [Google Scholar]
25.Furman BL. Streptozotocin-induced diabetic models in mice and rats. Curr Protoc Pharmacol. 2015;70(5.47.1-5.47.20):1-5. doi: 10.1002/0471141755.ph0547s70 [DOI] [PubMed] [Google Scholar]
26.Ramalingam S, Karuppiah M, Thiruppathi M. Antihyperglycaemic potential of rosmarinic acid attenuates glycoprotein moiety in high-fat diet and streptozotocin-induced diabetic rats. Life. 2020;13:120-130. doi: 10.1080/26895293.2020.1733104 [DOI] [Google Scholar]
27.Al-Megrin WA, El-Khadragy MF, Hussein MH, et al. Green coffea arabica extract ameliorates testicular injury in high-fat Diet/Streptozotocin-induced diabetes in rats. J Diabetes Res. 2020;2020:6762709. doi: 10.1155/2020/6762709 [DOI] [PMC free article] [PubMed] [Google Scholar]
28.Zheng Z, Yin Y, Lu R, Jiang Z. Lycopene ameliorated oxidative stress and inflammation in type 2 diabetic rats. J Food Sci. 2019;84(5):1194-1200. doi: 10.1111/1750-3841.14505 [DOI] [PubMed] [Google Scholar]
29.Guo XX, Wang Y, Wang K, Ji BP, Zhou F. Stability of a type 2 diabetes rat model induced by high-fat diet feeding with low-dose streptozotocin injection. J Zhejiang Univ - Sci B. 2018;19(7):559-569. doi: 10.1631/jzus.B1700254 [DOI] [PMC free article] [PubMed] [Google Scholar]
30.Oosta GM, Mathewson NS, Catravas GN. Optimization of Folin--Ciocalteu reagent concentration in an automated lowry protein assay. Anal Biochem. 1978;89(1):31-34. doi: 10.1016/0003-2697(78)90723-6 [DOI] [PubMed] [Google Scholar]
31.Burnette WN. “Western blotting”: electrophoretic transfer of proteins from sodium dodecyl sulfate--polyacrylamide gels to unmodified nitrocellulose and radiographic detection with antibody and radioiodinated protein A. Anal Biochem. 1981;112(2):195-203. doi: 10.1016/0003-2697(81)90281-5 [DOI] [PubMed] [Google Scholar]
32.Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 2008;3(6):1101-1108. doi: 10.1038/nprot.2008.73 [DOI] [PubMed] [Google Scholar]
33.Bancroft JD, Gamble M. Theory and Practice of Histological Techniques. 7th ed. Edinburgh, London, Melbourne and New York: Churchill Livingstone; 2013:252. [Google Scholar]
34.Kato H, Liu Y, Araki T, Kogure K. Temporal profile of the effects of pretreatment with brief cerebral ischemia on the neuronal damage following secondary ischemic insult in the gerbil: cumulative damage and protective effects. Brain Res. 1991;553(2):238-242. doi: 10.1016/0006-8993(91)90831-f [DOI] [PubMed] [Google Scholar]
35.Newairy AA, Hamaad FA, Wahby MM, Ghoneum M, Abdou HM. Neurotherapeutic effects of quercetin-loaded nanoparticles and Biochanin-A extracted from trifolium alexandrinum on PI3K/Akt/GSK-3β signaling in the cerebral cortex of male diabetic rats. PLoS One. 2024;19(4):e0301355. doi: 10.1371/journal.pone.0301355 [DOI] [PMC free article] [PubMed] [Google Scholar]
36.Omayma AR, Zaid KMF, Aliaa HA. Biochemical effect of Citrullus colocynthis in experimental diabetes mellitus in rats. Benha Vet Med J. 2013;25(1):218–227. [Google Scholar]
37.Shawky LM, Morsi AA, El Bana E, Hanafy SM. The biological impacts of sitagliptin on the pancreas of a rat model of type 2 diabetes mellitus: drug interactions with metformin. Biology. 2019;9(1):6. doi: 10.3390/biology9010006 [DOI] [PMC free article] [PubMed] [Google Scholar]
38.Magalhães DA, Kume WT, Correia FS, et al. High-fat diet and streptozotocin in the induction of type 2 diabetes mellitus: a new proposal. An Acad Bras Cienc. 2019;91(1):e20180314. doi: 10.1590/0001-3765201920180314 [DOI] [PubMed] [Google Scholar]
39.Abdulmalek SA, Balbaa M. Synergistic effect of nano-selenium and metformin on type 2 diabetic rat model: diabetic complications alleviation through insulin sensitivity, oxidative mediators and inflammatory markers. PLoS One. 2019;14:e0220779. doi: 10.1371/journal.pone.0220779 [DOI] [PMC free article] [PubMed] [Google Scholar]
40.Ajiboye TO, Raji HO, Adeleye AO, et al. Hibiscus sabdariffa calyx palliates insulin resistance, hyperglycemia, dyslipidemia and oxidative rout in fructose-induced metabolic syndrome rats. J Sci Food Agric. 2016;96:1522-1531. doi: 10.1002/jsfa.7254 [DOI] [PubMed] [Google Scholar]
41.González P, Lozano P, Ros G, Solano F. Hyperglycemia and oxidative stress: an integral, updated and critical overview of their metabolic interconnections. Int J Mol Sci. 2023;24(11):9352. doi: 10.3390/ijms24119352 [DOI] [PMC free article] [PubMed] [Google Scholar]
42.Jelodar G, Mohammadi M, Akbari A, Nazifi S. Cyclohexane extract of walnut leaves improves indices of oxidative stress, total homocysteine and lipids profiles in streptozotocin-induced diabetic rats. Physiol Rep. 2020;8(1):e14348. doi: 10.14814/phy2.14348 [DOI] [PMC free article] [PubMed] [Google Scholar]
43.Mesulam MM, Guillozet A, Shaw P, Levey A, Duysen EG, Lockridge O. Acetylcholinesterase knockouts establish central cholinergic pathways and can use butyrylcholinesterase to hydrolyze acetylcholine. Neuroscience. 2002;110(4):627-639. doi: 10.1016/s0306-4522(01)00613-3 [DOI] [PubMed] [Google Scholar]
44.Dubey SK, Lakshmi KK, Krishna KV, et al. Insulin mediated novel therapies for the treatment of Alzheimer's disease. Life Sci. 2020;249:117540. doi: 10.1016/j.lfs.2020.117540 [DOI] [PubMed] [Google Scholar]
45.Kumar A, Singh N. Inhibitor of Phosphodiestearse-4 improves memory deficits, oxidative stress, neuroinflammation and neuropathological alterations in mouse models of dementia of Alzheimer's type. Biomed Pharmacother. 2017;88:698-707. doi: 10.1016/j.biopha.2017.01.059 [DOI] [PubMed] [Google Scholar]
46.Beroun A, Mitra S, Michaluk P, Pijet B, Stefaniuk M, Kaczmarek L. MMPs in learning and memory and neuropsychiatric disorders. Cell Mol Life Sci. 2019;76(16):3207-3228. doi: 10.1007/s00018-019-03180-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
47.Liu Y, Mu Y, Li Z, Yong VW, Xue M. Extracellular matrix metalloproteinase inducer in brain ischemia and intracerebral hemorrhage. Front Immunol. 2022;13:986469. doi: 10.3389/fimmu.2022.986469 [DOI] [PMC free article] [PubMed] [Google Scholar]
48.Hannocks MJ, Zhang X, Gerwien H, et al. The gelatinases, MMP-2 and MMP-9, as fine tuners of neuroinflammatory processes. Matrix Biol. 2019;75-76:102-113. doi: 10.1016/j.matbio.2017.11.007 [DOI] [PubMed] [Google Scholar]
49.Cabral-Pacheco GA, Garza-Veloz I, Castruita-De la Rosa C, Ramirez-Acuña JM, et al. The roles of matrix metalloproteinases and their inhibitors in human diseases. Int J Mol Sci. 2020;21(24):9739. doi: 10.3390/ijms21249739 [DOI] [PMC free article] [PubMed] [Google Scholar]
50.Eshaq RS, Wright WS, Harris NR. Oxygen delivery, consumption, and conversion to reactive oxygen species in experimental models of diabetic retinopathy. Redox Biol. 2014;2:661-666. doi: 10.1016/j.redox.2014.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
51.Sylow L, Tokarz VL, Richter EA, Klip A. The many actions of insulin in skeletal muscle, the paramount tissue determining glycemia. Cell Metab. 2021;33(4):758-780. doi: 10.1016/j.cmet.2021.03.020 [DOI] [PubMed] [Google Scholar]
52.Livingstone R, Bryant NJ, Boyle JG, Petrie JR, Gould GW. Diabetes is accompanied by changes in the levels of proteins involved in endosomal GLUT4 trafficking in obese human skeletal muscle. Endocrinol Diabetes Metab. 2022;5(5):e361. doi: 10.1002/edm2.361 [DOI] [PMC free article] [PubMed] [Google Scholar]
53.Görgişen G, Ecer Y, Arslan A, Algul S, Oto G, Kaya Z. Effect of curcumin on activation and expression of IRS1, Grb2, K-Ras and Bax in STZ-induced diabetic rat brains. Ortadogu Tıp Derg. 2020;12(2):306-312. doi: 10.21601/ortadogutipdergisi.772409 [DOI] [Google Scholar]
54.Agircan D, Parlak TM, Tufan O, Demircioglu M, Dik B. Neuroprotective effects of bexarotene and icariin in a diabetic rat model. Cureus. 2024;16(8):e68238. doi: 10.7759/cureus.68238 [DOI] [PMC free article] [PubMed] [Google Scholar]
55.Rozanska O, Uruska A, Zozulinska-Ziolkiewicz D. Brain-derived neurotrophic factor and diabetes. Int J Mol Sci. 2020;21(3):841. doi: 10.3390/ijms21030841 [DOI] [PMC free article] [PubMed] [Google Scholar]
56.Zou Y, Qing L, Zeng X, et al. Cognitive function and plasma BDNF levels among manganese-exposed smelters. Occup Environ Med. 2014;71(3):189-194. doi: 10.1136/oemed-2013-101896 [DOI] [PubMed] [Google Scholar]
57.Yeboah K, Gyamfi T, Agyekum JA. Severe depression is associated with decreased levels of serum brain-derived neurotrophic factor in type 2 diabetes patients in Ghana. Alex J Med. 2024;60:17-25. doi: 10.1080/20905068.2024.2314796 [DOI] [Google Scholar]
58.He WL, Chang FX, Wang T, Sun BX, Chen RR, Zhao LP. Serum brain-derived neurotrophic factor levels in type 2 diabetes mellitus patients and its association with cognitive impairment: a meta-analysis. PLoS One. 2024;19(4):e0297785. doi: 10.1371/journal.pone.0297785 [DOI] [PMC free article] [PubMed] [Google Scholar]
59.Krabbe KS, Nielsen AR, Krogh-Madsen R, et al. Brain-derived neurotrophic factor (BDNF) and type 2 diabetes. Diabetologia. 2007;50(2):431-438. doi: 10.1007/s00125-006-0537-4 [DOI] [PubMed] [Google Scholar]
60.Deng J, Guo F. MicroRNAs and type 2 diabetes. ExRNA. 2019;1:36. doi: 10.1186/s41544-019-0038-5 [DOI] [Google Scholar]
61.Šimonienė D, Stukas D, Daukša A, Veličkienė D. Clinical role of serum miR107 in type 2 diabetes and related risk factors. Biomolecules. 2022;12(4):558. doi: 10.3390/biom12040558 [DOI] [PMC free article] [PubMed] [Google Scholar]
62.Tuzlukaya T, Hümeyra F, Can UG, Büyükinan M. Plasma mir-103 and mir-107 levels in obese children: the sign of insulin resistance. Nobel Med. 2020;16:5-11. [Google Scholar]
63.Naghiaee Y, Didehdar R, Malekpour-Dehkordi Z, Pourrajab F, Mohiti-Ardakani J. Descending expression of miR320 in insulin-resistant adipocytes treated with ascending concentrations of metformin. Biochem Genet. 2020;58(5):661-676. doi: 10.1007/s10528-020-09964-z [DOI] [PubMed] [Google Scholar]
64.De Assis GG, Murawska-Ciałowicz E. BDNF modulation by microRNAs: an update on the experimental evidence. Cells. 2024;13(10):880. doi: 10.3390/cells13100880 [DOI] [PMC free article] [PubMed] [Google Scholar]
65.Xie Z, Xu X, Cao W, et al. Perspectives on miRNAs directly targeting BDNF for cancer diagnosis and treatment. Int J Oncol. 2023;62(2):30. (Review). doi: 10.3892/ijo.2023.5478 [DOI] [PubMed] [Google Scholar]
66.You Y, Liang W. SIRT1 and SIRT6: the role in aging-related diseases. Biochim Biophys Acta Mol Basis Dis. 2023;1869(7):166815. doi: 10.1016/j.bbadis.2023.166815 [DOI] [PubMed] [Google Scholar]
67.Kitada M, Ogura Y, Monno I, Koya D. Sirtuins and type 2 diabetes: role in inflammation, oxidative stress, and mitochondrial function. Front Endocrinol. 2019;10:187. doi: 10.3389/fendo.2019.00187 [DOI] [PMC free article] [PubMed] [Google Scholar]
68.Samadi M, Aziz SG, Naderi R. The effect of tropisetron on oxidative stress, SIRT1, FOXO3a, and claudin-1 in the renal tissue of STZ-induced diabetic rats. Cell Stress Chaperones. 2021;26(1):217-227. doi: 10.1007/s12192-020-01170-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
69.Wu SY, Liang J, Yang BC, Leung PS. SIRT1 activation promotes β-Cell regeneration by activating endocrine progenitor cells via AMPK signaling-mediated fatty acid oxidation. Stem Cell. 2019;37(11):1416-1428. doi: 10.1002/stem.3073 [DOI] [PubMed] [Google Scholar]
70.Foyer CH, Harbinson J. Oxygen Metabolism and the Regulation of Photosynthetic Electron Transport, Causes of Photooxidative Stress and Amelioration of Defense Systems in Plants. CRC Press; 2019:1-42. [Google Scholar]
71.Tatomir A, Rao G, Boodhoo D, et al. Histone deacetylase SIRT1 mediates C5b-9-Induced cell cycle in oligodendrocytes. Front Immunol. 2020;11:619. doi: 10.3389/fimmu.2020.00619 [DOI] [PMC free article] [PubMed] [Google Scholar]
72.Mitchell S, Vargas J, Hoffmann A. Inhibitory feedback control of NF-κB signalling in health and disease. Biochem J. 2021;478(13):2619-2664. doi: 10.1042/BCJ20210139 [DOI] [PMC free article] [PubMed] [Google Scholar]
73.Feng S, Ding H, Liu L, et al. Astragalus polysaccharide enhances the immune function of RAW264.7 macrophages via the NF-κB p65/MAPK signaling pathway. Exp Ther Med. 2021;21(1):20. doi: 10.3892/etm.2020.9452 [DOI] [PMC free article] [PubMed] [Google Scholar]
74.Constanze B, Popper B, Aggarwal BB, Shakibaei M. Evidence that TNF-β suppresses osteoblast differentiation of mesenchymal stem cells and resveratrol reverses it through modulation of NF-κB, Sirt1 and Runx2. Cell Tissue Res. 2020;381(1):83-98. doi: 10.1007/s00441-020-03188-8 [DOI] [PubMed] [Google Scholar]
75.Rothgiesser KM, Fey M, Hottiger MO. Acetylation of p65 at lysine 314 is important for late NF-kappaB-dependent gene expression. BMC Genom. 2010;11:22. doi: 10.1186/1471-2164-11-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
76.Ertas B, Hazar-Yavuz AN, Topal F, et al. Improves learning and memory-associated cognitive impairment by regulating glucose levels and reducing hippocampal insulin resistance in high-fat diet/streptozotocin-induced diabetic rats. J Ethnopharmacol. 2023;313:116541. doi: 10.1016/j.jep.2023.116541 [DOI] [PubMed] [Google Scholar]
77.Omayma A, EL-sonbaty S, neama A. Evaluation of antidiabetic effect of nanoselenium in STZ induced diabetes in rats. Benha Veterinary Medical Journal. 2021;40(1):75-79. doi: 10.21608/bvmj.2021.49132.1291 [DOI] [Google Scholar]
78.Ahmad M, Nasiry D, Kumar S, et al. Quercetin and metformin combination therapy: a promising approach for diabetic nephropathy management. Biomed Pharmacother. 2023;165:115123. doi: 10.1016/j.biopha.2023.115123 [DOI] [PubMed] [Google Scholar]
79.Zhang Y, Li X, Wang H, et al. Radiation hormesis and metabolic regulation: new insights into low-dose radiation therapy. Radiat Res. 2024;201(2):145-158. doi: 10.1667/RADE-23-00189.1 [DOI] [Google Scholar]
80.Rodriguez-Martinez A, Chen L, Kumar P, et al. miR-107 modulation by natural compounds and pharmacological agents in metabolic disorders. Front Endocrinol. 2023;14:1152847. doi: 10.3389/fendo.2023.1152847 [DOI] [Google Scholar]
81.Kumar S, Patel A, Sharma R, et al. High-fat diet and streptozotocin-induced type 2 diabetes: recent therapeutic interventions. J Diabetes Res. 2023;2023:8945672. doi: 10.1155/2023/8945672 [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.*

[bibr1-15593258251367627] 1.Wang HJ, Zhang LB, Sun SP, et al. Duodenal-jejunal bypass improves hypothalamic oxidative stress and inflammation in diabetic rats via glucagon-like peptide 1-mediated Nrf2/HO-1 signaling. World J Diabetes. 2024;15(2):287-304. doi: 10.4239/wjd.v15.i2.287 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr2-15593258251367627] 2.Chen Y, Liu X, Zhang Y, et al. Type 3 diabetes and metabolic reprogramming of brain neurons: causes and therapeutic strategies. Mol Med. 2025;31(1):1. doi: 10.1186/s10020-025-01101-z [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr3-15593258251367627] 3.Carreras A, Diaz-Torga G, Morales C, et al. MicroRNAs as regulators of insulin signaling: research updates and potential therapeutic perspectives in type 2 diabetes. Int J Mol Sci. 2018;19(12):3705. doi: 10.3390/ijms19123705 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr4-15593258251367627] 4.Bhattacharya S, Ahsan CR, Dutta P, et al. Metformin: beyond diabetes management to neuroprotection and cognitive enhancement. Curr Pharmacol Rep. 2025;11:1-18. doi: 10.1007/s40495-025-00395-1 [DOI] [Google Scholar]

[bibr5-15593258251367627] 5.Zou J, Chen Z, Liang C, et al. Metformin in elderly type 2 diabetes mellitus: dose-dependent dementia risk reduction. Brain. 2024;147(4):1474-1484. doi: 10.1093/brain/awad347 [DOI] [PubMed] [Google Scholar]

[bibr6-15593258251367627] 6.LaMoia TE, Shulman GI. Cellular and molecular mechanisms of metformin action. Endocr Rev. 2021;42(1):77-96. doi: 10.1210/endrev/bnaa023 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr7-15593258251367627] 7.Rena G, Hardie DG, Pearson ER. The mechanisms of action of metformin. Diabetologia. 2017;60(9):1577-1585. doi: 10.1007/s00125-017-4342-z [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr8-15593258251367627] 8.Crowley MJ, Diamantidis CJ, McDuffie JR, et al. Clinical outcomes of metformin use in populations with chronic kidney disease, congestive heart failure, or chronic obstructive pulmonary disease: a systematic review. Ann Intern Med. 2017;166(3):191-200. doi: 10.7326/M16-1901 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr9-15593258251367627] 9.McCreight LJ, Bailey CJ, Pearson ER. Metformin and the gastrointestinal tract. Diabetologia. 2016;59(3):426-435. doi: 10.1007/s00125-015-3844-9 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr10-15593258251367627] 10.Shi GJ, Li Y, Cao QH, et al. Quercetin and metformin synergistically reverse endothelial dysfunction in the isolated aorta of streptozotocin-nicotinamide-induced diabetic rats. Sci Rep. 2022;12(1):20943. doi: 10.1038/s41598-022-25739-5 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr11-15593258251367627] 11.Liu C, Liu T, Zheng S, et al. MicroRNAs in diabetic macroangiopathy. Cardiovasc Diabetol. 2024;23(1):376. doi: 10.1186/s12933-024-02405-w [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr12-15593258251367627] 12.Bahadoran Z, Mirmiran P, Azizi F. Dietary polyphenols as potential nutraceuticals in management of diabetes: a review. J Diabetes Metab Disord. 2013;12(1):43. doi: 10.1186/2251-6581-12-43 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr13-15593258251367627] 13.Wang Y, Zhao H, Sheng X, et al. Quercetin: Benefits, Side Effects, Dosage, and Foods. Healthline; 2024. Available at. https://www.healthline.com/nutrition/quercetin [Google Scholar]

[bibr14-15593258251367627] 14.Liu R, Zhang T, Yang H, et al. Quercetin ameliorates diabetic encephalopathy through SIRT1/ER stress pathway in Db/db mice. Aging (Albany NY). 2020;12(8):7015-7030. doi: 10.18632/aging.103059 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr15-15593258251367627] 15.Zhang Y, Yang X, Shi H, et al. The role of miR-29 family in cancer progression, tumor microenvironment, drug resistance, and therapeutic implications. Cancer Commun. 2021;41(10):940-963. doi: 10.1002/cac2.12213 [DOI] [Google Scholar]

[bibr16-15593258251367627] 16.Calabrese EJ, Dhawan G, Kapoor R, Iavicoli I, Calabrese V. What is hormesis and its relevance to healthy aging and longevity? Biogerontology. 2015;16(6):693-707. doi: 10.1007/s10522-015-9594-x [DOI] [PubMed] [Google Scholar]

[bibr17-15593258251367627] 17.Tang FR, Loke WK. Molecular mechanisms of low dose ionizing radiation-induced hormesis, adaptive responses, radioresistance, bystander effects, and genomic instability. Int J Radiat Biol. 2015;91(1):13-27. doi: 10.3109/09553002.2014.937510 [DOI] [PubMed] [Google Scholar]

[bibr18-15593258251367627] 18.Xu P, Huecksteadt TP, Harrison R, Hoidal JR. Diabetes drug metformin may protect against radiation exposure. PLoS One. 2024;19(8):e0306008. doi: 10.1371/journal.pone.0306008 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr19-15593258251367627] 19.Radic T, Al-Ouran R, Junck L, et al. Radioprotective effect of the anti-diabetic drug metformin. Cancers (Basel). 2024;16(14):2607. doi: 10.3390/cancers16142607 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr20-15593258251367627] 20.Ng KP, Manjeet K, Mathis A, et al. A comprehensive review of the clinical utility of and indications for low-dose radiotherapy. Oncology. 2021;99(7):429-441. doi: 10.1159/000516034 [DOI] [Google Scholar]

[bibr21-15593258251367627] 21.Zahran AM, Nafady A, Saad K, et al. Concerted outcome of metformin and low dose of radiation in modulation of cisplatin induced uremic encephalopathy via renal and neural preservation. Life Sci. 2021;273:119317. doi: 10.1016/j.lfs.2021.119317 [DOI] [PubMed] [Google Scholar]

[bibr22-15593258251367627] 22.Al Za'abi M, Ali BH, Al SY, et al. The effect of metformin in diabetic and non-diabetic rats with experimentally-induced chronic kidney disease. Biomolecules. 2021;11:814. doi: 10.3390/biom11060814 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr23-15593258251367627] 23.Ojo OO, Fatokun DI, Ejidike IP, Awolope RU, Sanni SO. Quercetin zinc and iron metal complexes protect against sodium arsenite intoxication in the hepato-renal system of wistar rats via the oxidative stress pathway. J Toxicol. 2022;2022:6178261. doi: 10.1155/2022/6178261 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr24-15593258251367627] 24.Khandelwal M, Manglani K, Gupta S, Tiku AB. Gamma radiation improves AD pathogenesis in APP/PS1 mouse model by potentiating insulin sensitivity. Heliyon. 2020;6(7):e04499. doi: 10.1016/j.heliyon.2020.e04499 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr25-15593258251367627] 25.Furman BL. Streptozotocin-induced diabetic models in mice and rats. Curr Protoc Pharmacol. 2015;70(5.47.1-5.47.20):1-5. doi: 10.1002/0471141755.ph0547s70 [DOI] [PubMed] [Google Scholar]

[bibr26-15593258251367627] 26.Ramalingam S, Karuppiah M, Thiruppathi M. Antihyperglycaemic potential of rosmarinic acid attenuates glycoprotein moiety in high-fat diet and streptozotocin-induced diabetic rats. Life. 2020;13:120-130. doi: 10.1080/26895293.2020.1733104 [DOI] [Google Scholar]

[bibr27-15593258251367627] 27.Al-Megrin WA, El-Khadragy MF, Hussein MH, et al. Green coffea arabica extract ameliorates testicular injury in high-fat Diet/Streptozotocin-induced diabetes in rats. J Diabetes Res. 2020;2020:6762709. doi: 10.1155/2020/6762709 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr28-15593258251367627] 28.Zheng Z, Yin Y, Lu R, Jiang Z. Lycopene ameliorated oxidative stress and inflammation in type 2 diabetic rats. J Food Sci. 2019;84(5):1194-1200. doi: 10.1111/1750-3841.14505 [DOI] [PubMed] [Google Scholar]

[bibr29-15593258251367627] 29.Guo XX, Wang Y, Wang K, Ji BP, Zhou F. Stability of a type 2 diabetes rat model induced by high-fat diet feeding with low-dose streptozotocin injection. J Zhejiang Univ - Sci B. 2018;19(7):559-569. doi: 10.1631/jzus.B1700254 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr30-15593258251367627] 30.Oosta GM, Mathewson NS, Catravas GN. Optimization of Folin--Ciocalteu reagent concentration in an automated lowry protein assay. Anal Biochem. 1978;89(1):31-34. doi: 10.1016/0003-2697(78)90723-6 [DOI] [PubMed] [Google Scholar]

[bibr31-15593258251367627] 31.Burnette WN. “Western blotting”: electrophoretic transfer of proteins from sodium dodecyl sulfate--polyacrylamide gels to unmodified nitrocellulose and radiographic detection with antibody and radioiodinated protein A. Anal Biochem. 1981;112(2):195-203. doi: 10.1016/0003-2697(81)90281-5 [DOI] [PubMed] [Google Scholar]

[bibr32-15593258251367627] 32.Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 2008;3(6):1101-1108. doi: 10.1038/nprot.2008.73 [DOI] [PubMed] [Google Scholar]

[bibr33-15593258251367627] 33.Bancroft JD, Gamble M. Theory and Practice of Histological Techniques. 7th ed. Edinburgh, London, Melbourne and New York: Churchill Livingstone; 2013:252. [Google Scholar]

[bibr34-15593258251367627] 34.Kato H, Liu Y, Araki T, Kogure K. Temporal profile of the effects of pretreatment with brief cerebral ischemia on the neuronal damage following secondary ischemic insult in the gerbil: cumulative damage and protective effects. Brain Res. 1991;553(2):238-242. doi: 10.1016/0006-8993(91)90831-f [DOI] [PubMed] [Google Scholar]

[bibr35-15593258251367627] 35.Newairy AA, Hamaad FA, Wahby MM, Ghoneum M, Abdou HM. Neurotherapeutic effects of quercetin-loaded nanoparticles and Biochanin-A extracted from trifolium alexandrinum on PI3K/Akt/GSK-3β signaling in the cerebral cortex of male diabetic rats. PLoS One. 2024;19(4):e0301355. doi: 10.1371/journal.pone.0301355 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr36-15593258251367627] 36.Omayma AR, Zaid KMF, Aliaa HA. Biochemical effect of Citrullus colocynthis in experimental diabetes mellitus in rats. Benha Vet Med J. 2013;25(1):218–227. [Google Scholar]

[bibr37-15593258251367627] 37.Shawky LM, Morsi AA, El Bana E, Hanafy SM. The biological impacts of sitagliptin on the pancreas of a rat model of type 2 diabetes mellitus: drug interactions with metformin. Biology. 2019;9(1):6. doi: 10.3390/biology9010006 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr38-15593258251367627] 38.Magalhães DA, Kume WT, Correia FS, et al. High-fat diet and streptozotocin in the induction of type 2 diabetes mellitus: a new proposal. An Acad Bras Cienc. 2019;91(1):e20180314. doi: 10.1590/0001-3765201920180314 [DOI] [PubMed] [Google Scholar]

[bibr39-15593258251367627] 39.Abdulmalek SA, Balbaa M. Synergistic effect of nano-selenium and metformin on type 2 diabetic rat model: diabetic complications alleviation through insulin sensitivity, oxidative mediators and inflammatory markers. PLoS One. 2019;14:e0220779. doi: 10.1371/journal.pone.0220779 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr40-15593258251367627] 40.Ajiboye TO, Raji HO, Adeleye AO, et al. Hibiscus sabdariffa calyx palliates insulin resistance, hyperglycemia, dyslipidemia and oxidative rout in fructose-induced metabolic syndrome rats. J Sci Food Agric. 2016;96:1522-1531. doi: 10.1002/jsfa.7254 [DOI] [PubMed] [Google Scholar]

[bibr41-15593258251367627] 41.González P, Lozano P, Ros G, Solano F. Hyperglycemia and oxidative stress: an integral, updated and critical overview of their metabolic interconnections. Int J Mol Sci. 2023;24(11):9352. doi: 10.3390/ijms24119352 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr42-15593258251367627] 42.Jelodar G, Mohammadi M, Akbari A, Nazifi S. Cyclohexane extract of walnut leaves improves indices of oxidative stress, total homocysteine and lipids profiles in streptozotocin-induced diabetic rats. Physiol Rep. 2020;8(1):e14348. doi: 10.14814/phy2.14348 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr43-15593258251367627] 43.Mesulam MM, Guillozet A, Shaw P, Levey A, Duysen EG, Lockridge O. Acetylcholinesterase knockouts establish central cholinergic pathways and can use butyrylcholinesterase to hydrolyze acetylcholine. Neuroscience. 2002;110(4):627-639. doi: 10.1016/s0306-4522(01)00613-3 [DOI] [PubMed] [Google Scholar]

[bibr44-15593258251367627] 44.Dubey SK, Lakshmi KK, Krishna KV, et al. Insulin mediated novel therapies for the treatment of Alzheimer's disease. Life Sci. 2020;249:117540. doi: 10.1016/j.lfs.2020.117540 [DOI] [PubMed] [Google Scholar]

[bibr45-15593258251367627] 45.Kumar A, Singh N. Inhibitor of Phosphodiestearse-4 improves memory deficits, oxidative stress, neuroinflammation and neuropathological alterations in mouse models of dementia of Alzheimer's type. Biomed Pharmacother. 2017;88:698-707. doi: 10.1016/j.biopha.2017.01.059 [DOI] [PubMed] [Google Scholar]

[bibr46-15593258251367627] 46.Beroun A, Mitra S, Michaluk P, Pijet B, Stefaniuk M, Kaczmarek L. MMPs in learning and memory and neuropsychiatric disorders. Cell Mol Life Sci. 2019;76(16):3207-3228. doi: 10.1007/s00018-019-03180-8 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr47-15593258251367627] 47.Liu Y, Mu Y, Li Z, Yong VW, Xue M. Extracellular matrix metalloproteinase inducer in brain ischemia and intracerebral hemorrhage. Front Immunol. 2022;13:986469. doi: 10.3389/fimmu.2022.986469 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr48-15593258251367627] 48.Hannocks MJ, Zhang X, Gerwien H, et al. The gelatinases, MMP-2 and MMP-9, as fine tuners of neuroinflammatory processes. Matrix Biol. 2019;75-76:102-113. doi: 10.1016/j.matbio.2017.11.007 [DOI] [PubMed] [Google Scholar]

[bibr49-15593258251367627] 49.Cabral-Pacheco GA, Garza-Veloz I, Castruita-De la Rosa C, Ramirez-Acuña JM, et al. The roles of matrix metalloproteinases and their inhibitors in human diseases. Int J Mol Sci. 2020;21(24):9739. doi: 10.3390/ijms21249739 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr50-15593258251367627] 50.Eshaq RS, Wright WS, Harris NR. Oxygen delivery, consumption, and conversion to reactive oxygen species in experimental models of diabetic retinopathy. Redox Biol. 2014;2:661-666. doi: 10.1016/j.redox.2014.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr51-15593258251367627] 51.Sylow L, Tokarz VL, Richter EA, Klip A. The many actions of insulin in skeletal muscle, the paramount tissue determining glycemia. Cell Metab. 2021;33(4):758-780. doi: 10.1016/j.cmet.2021.03.020 [DOI] [PubMed] [Google Scholar]

[bibr52-15593258251367627] 52.Livingstone R, Bryant NJ, Boyle JG, Petrie JR, Gould GW. Diabetes is accompanied by changes in the levels of proteins involved in endosomal GLUT4 trafficking in obese human skeletal muscle. Endocrinol Diabetes Metab. 2022;5(5):e361. doi: 10.1002/edm2.361 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr53-15593258251367627] 53.Görgişen G, Ecer Y, Arslan A, Algul S, Oto G, Kaya Z. Effect of curcumin on activation and expression of IRS1, Grb2, K-Ras and Bax in STZ-induced diabetic rat brains. Ortadogu Tıp Derg. 2020;12(2):306-312. doi: 10.21601/ortadogutipdergisi.772409 [DOI] [Google Scholar]

[bibr54-15593258251367627] 54.Agircan D, Parlak TM, Tufan O, Demircioglu M, Dik B. Neuroprotective effects of bexarotene and icariin in a diabetic rat model. Cureus. 2024;16(8):e68238. doi: 10.7759/cureus.68238 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr55-15593258251367627] 55.Rozanska O, Uruska A, Zozulinska-Ziolkiewicz D. Brain-derived neurotrophic factor and diabetes. Int J Mol Sci. 2020;21(3):841. doi: 10.3390/ijms21030841 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr56-15593258251367627] 56.Zou Y, Qing L, Zeng X, et al. Cognitive function and plasma BDNF levels among manganese-exposed smelters. Occup Environ Med. 2014;71(3):189-194. doi: 10.1136/oemed-2013-101896 [DOI] [PubMed] [Google Scholar]

[bibr57-15593258251367627] 57.Yeboah K, Gyamfi T, Agyekum JA. Severe depression is associated with decreased levels of serum brain-derived neurotrophic factor in type 2 diabetes patients in Ghana. Alex J Med. 2024;60:17-25. doi: 10.1080/20905068.2024.2314796 [DOI] [Google Scholar]

[bibr58-15593258251367627] 58.He WL, Chang FX, Wang T, Sun BX, Chen RR, Zhao LP. Serum brain-derived neurotrophic factor levels in type 2 diabetes mellitus patients and its association with cognitive impairment: a meta-analysis. PLoS One. 2024;19(4):e0297785. doi: 10.1371/journal.pone.0297785 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr59-15593258251367627] 59.Krabbe KS, Nielsen AR, Krogh-Madsen R, et al. Brain-derived neurotrophic factor (BDNF) and type 2 diabetes. Diabetologia. 2007;50(2):431-438. doi: 10.1007/s00125-006-0537-4 [DOI] [PubMed] [Google Scholar]

[bibr60-15593258251367627] 60.Deng J, Guo F. MicroRNAs and type 2 diabetes. ExRNA. 2019;1:36. doi: 10.1186/s41544-019-0038-5 [DOI] [Google Scholar]

[bibr61-15593258251367627] 61.Šimonienė D, Stukas D, Daukša A, Veličkienė D. Clinical role of serum miR107 in type 2 diabetes and related risk factors. Biomolecules. 2022;12(4):558. doi: 10.3390/biom12040558 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr62-15593258251367627] 62.Tuzlukaya T, Hümeyra F, Can UG, Büyükinan M. Plasma mir-103 and mir-107 levels in obese children: the sign of insulin resistance. Nobel Med. 2020;16:5-11. [Google Scholar]

[bibr63-15593258251367627] 63.Naghiaee Y, Didehdar R, Malekpour-Dehkordi Z, Pourrajab F, Mohiti-Ardakani J. Descending expression of miR320 in insulin-resistant adipocytes treated with ascending concentrations of metformin. Biochem Genet. 2020;58(5):661-676. doi: 10.1007/s10528-020-09964-z [DOI] [PubMed] [Google Scholar]

[bibr64-15593258251367627] 64.De Assis GG, Murawska-Ciałowicz E. BDNF modulation by microRNAs: an update on the experimental evidence. Cells. 2024;13(10):880. doi: 10.3390/cells13100880 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr65-15593258251367627] 65.Xie Z, Xu X, Cao W, et al. Perspectives on miRNAs directly targeting BDNF for cancer diagnosis and treatment. Int J Oncol. 2023;62(2):30. (Review). doi: 10.3892/ijo.2023.5478 [DOI] [PubMed] [Google Scholar]

[bibr66-15593258251367627] 66.You Y, Liang W. SIRT1 and SIRT6: the role in aging-related diseases. Biochim Biophys Acta Mol Basis Dis. 2023;1869(7):166815. doi: 10.1016/j.bbadis.2023.166815 [DOI] [PubMed] [Google Scholar]

[bibr67-15593258251367627] 67.Kitada M, Ogura Y, Monno I, Koya D. Sirtuins and type 2 diabetes: role in inflammation, oxidative stress, and mitochondrial function. Front Endocrinol. 2019;10:187. doi: 10.3389/fendo.2019.00187 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr68-15593258251367627] 68.Samadi M, Aziz SG, Naderi R. The effect of tropisetron on oxidative stress, SIRT1, FOXO3a, and claudin-1 in the renal tissue of STZ-induced diabetic rats. Cell Stress Chaperones. 2021;26(1):217-227. doi: 10.1007/s12192-020-01170-5 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr69-15593258251367627] 69.Wu SY, Liang J, Yang BC, Leung PS. SIRT1 activation promotes β-Cell regeneration by activating endocrine progenitor cells via AMPK signaling-mediated fatty acid oxidation. Stem Cell. 2019;37(11):1416-1428. doi: 10.1002/stem.3073 [DOI] [PubMed] [Google Scholar]

[bibr70-15593258251367627] 70.Foyer CH, Harbinson J. Oxygen Metabolism and the Regulation of Photosynthetic Electron Transport, Causes of Photooxidative Stress and Amelioration of Defense Systems in Plants. CRC Press; 2019:1-42. [Google Scholar]

[bibr71-15593258251367627] 71.Tatomir A, Rao G, Boodhoo D, et al. Histone deacetylase SIRT1 mediates C5b-9-Induced cell cycle in oligodendrocytes. Front Immunol. 2020;11:619. doi: 10.3389/fimmu.2020.00619 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr72-15593258251367627] 72.Mitchell S, Vargas J, Hoffmann A. Inhibitory feedback control of NF-κB signalling in health and disease. Biochem J. 2021;478(13):2619-2664. doi: 10.1042/BCJ20210139 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr73-15593258251367627] 73.Feng S, Ding H, Liu L, et al. Astragalus polysaccharide enhances the immune function of RAW264.7 macrophages via the NF-κB p65/MAPK signaling pathway. Exp Ther Med. 2021;21(1):20. doi: 10.3892/etm.2020.9452 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr74-15593258251367627] 74.Constanze B, Popper B, Aggarwal BB, Shakibaei M. Evidence that TNF-β suppresses osteoblast differentiation of mesenchymal stem cells and resveratrol reverses it through modulation of NF-κB, Sirt1 and Runx2. Cell Tissue Res. 2020;381(1):83-98. doi: 10.1007/s00441-020-03188-8 [DOI] [PubMed] [Google Scholar]

[bibr75-15593258251367627] 75.Rothgiesser KM, Fey M, Hottiger MO. Acetylation of p65 at lysine 314 is important for late NF-kappaB-dependent gene expression. BMC Genom. 2010;11:22. doi: 10.1186/1471-2164-11-22 [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr76-15593258251367627] 76.Ertas B, Hazar-Yavuz AN, Topal F, et al. Improves learning and memory-associated cognitive impairment by regulating glucose levels and reducing hippocampal insulin resistance in high-fat diet/streptozotocin-induced diabetic rats. J Ethnopharmacol. 2023;313:116541. doi: 10.1016/j.jep.2023.116541 [DOI] [PubMed] [Google Scholar]

[bibr77-15593258251367627] 77.Omayma A, EL-sonbaty S, neama A. Evaluation of antidiabetic effect of nanoselenium in STZ induced diabetes in rats. Benha Veterinary Medical Journal. 2021;40(1):75-79. doi: 10.21608/bvmj.2021.49132.1291 [DOI] [Google Scholar]

[bibr78-15593258251367627] 78.Ahmad M, Nasiry D, Kumar S, et al. Quercetin and metformin combination therapy: a promising approach for diabetic nephropathy management. Biomed Pharmacother. 2023;165:115123. doi: 10.1016/j.biopha.2023.115123 [DOI] [PubMed] [Google Scholar]

[bibr79-15593258251367627] 79.Zhang Y, Li X, Wang H, et al. Radiation hormesis and metabolic regulation: new insights into low-dose radiation therapy. Radiat Res. 2024;201(2):145-158. doi: 10.1667/RADE-23-00189.1 [DOI] [Google Scholar]

[bibr80-15593258251367627] 80.Rodriguez-Martinez A, Chen L, Kumar P, et al. miR-107 modulation by natural compounds and pharmacological agents in metabolic disorders. Front Endocrinol. 2023;14:1152847. doi: 10.3389/fendo.2023.1152847 [DOI] [Google Scholar]

[bibr81-15593258251367627] 81.Kumar S, Patel A, Sharma R, et al. High-fat diet and streptozotocin-induced type 2 diabetes: recent therapeutic interventions. J Diabetes Res. 2023;2023:8945672. doi: 10.1155/2023/8945672 [DOI] [Google Scholar]

PERMALINK

Combined Effects of Metformin, Quercetin, and Fractionated Gamma Irradiation on MiR-107-Mediated Brain Injury in HFD/STZ-Induced Diabetic Rats

Omayma A R Abozaid

Fatma S M Moawed

Hanaa F B Gabr

Marwa A Esmat

Abstract

Graphical Abstract.

Introduction

Material and Methods

Drugs and Chemicals

Radiation Facility

Experimental Animals

Induction of Diabetes Mellitus Type 2

Experimental Design

Biological Sampling

Body Weight, Fasting Blood Glucose, Insulin, and HOMA-IR Estimation

Biochemical Estimation of Oxidative Stress Markers in the Brain Tissue

Enzyme-Linked Immunosorbent Assay (ELISA)

Western Immunoblotting

Quantitative Real-Time PCR Analysis for BDNF, SIRT1 and NF-κB

Table 1.

Quantitative Real Time Polymerase Chain Reaction (qRT-PCR) of microRNA-107 (MiR-107)

Table 2.

Histopathological Analysis

Statistical Analyses

Results

Changes in Body Weight in the Different Studied Groups

Figure 1.

Changes in Fasting Blood Glucose Tolerance in the Different Studied Groups

Figure 2.

Effect of Different Treatments on Fast Blood Glucose, Fast Serum Insulin, and HOMA-IR

Figure 3.

Effect of the Different Treatments on Oxidative Stress in Diabetic Rats

Table 3.

Influence of Different Treatments on (Acetylcholine Esterase) AchE Activity

Figure 4.

Influence of Different Treatments on MMP-2 in the Brain

Figure 5.

Influence of Different Treatments on IRS1 Protein Expression in the Brain

Figure 6.

Influence of Different Treatments on the MiR-107, BDNF, SIRT1 and NF-κB Gene Expression

Figure 7.

Histopathology Results

Figure 8.

Table 4.

Discussion

Limitations

Conclusions

Figure 9.

Footnotes

ORCID iDs

Ethical Approval

Consent for Publication

Data Availability Statement

References

Associated Data

Data Availability Statement

ACTIONS

PERMALINK

RESOURCES

Similar articles

Cited by other articles

Links to NCBI Databases