Skip to main content
Springer logoLink to Springer
. 2026 Feb 3;41(1):26. doi: 10.1007/s11011-025-01782-9

6-Gingerol ameliorates high-fat, high-sucrose diet-induced metabolic dysfunction and depressive-like behaviors by attenuating neuroinflammation and oxidative stress

Hend A Essa 1,, Abeer E El-Metwally 2
PMCID: PMC12868014  PMID: 41632371

Abstract

High-calorie diets cause metabolic syndrome, obesity, and emotional disturbances, with neurological consequences. These prevalent conditions impair both peripheral and central nervous system function, elevating depression risk. These complications represent prevalent chronic conditions in modern society. The bioactive compound 6-gingerol demonstrates antioxidant and anti-inflammatory properties. This study investigated 6-gingerol’s protective effects against depression-like behavior and metabolic syndrome induced by a high-fat, high-sucrose diet (HFHS) in rats. Male Sprague-Dawley rats were randomly divided into six groups (n = 8/group): normal control (balanced diet; 4.12 kcal/g), HFHS-fed (5.57 kcal/g + 0.8 kcal/mL), low-dose (100 mg/kg/day, oral 6-gingerol), high-dose (200 mg/kg/day, oral 6-gingerol), and HFHS-fed groups receiving low-dose (100 mg/kg/day) or high-dose (200 mg/kg/day) oral 6-gingerol for ten weeks. Behavioral tests (forced swim, tail suspension) were conducted. Measured parameters included fasting blood glucose, serum lipids, insulin, leptin, hs-CRP, neurochemical markers (BDNF, GABA, AChE), neurotransmitters (serotonin, dopamine), oxidative stress markers, and inflammatory cytokines. Brain tissues were analyzed histopathologically and immunohistochemically. Both 6-gingerol doses significantly (p < 0.05) improved hyperglycemia, insulin resistance, dyslipidemia, hs-CRP, and leptin levels. Glutathione and glutathione peroxidase increased, while malondialdehyde, protein carbonyl, nitric oxide, TNF-α, and IL-6 significantly decreased. Immobility time in forced swim and tail suspension tests was significantly reduced. Neurochemical and neurotransmitter markers in brain tissue improved significantly (p < 0.05). GFAP and iNOS expression was reduced (p < 0.05), showing dose dependency. Histopathological and histochemical analyses confirmed 6-gingerol’s neuroprotection. 6-Gingerol, especially at high dose, effectively alleviated HFHS-induced metabolic syndrome, and depression-like behavior. These findings underscore its potential as a prophylactic against neurobehavioral deficits, and diet-associated depression.

Graphical abstract

graphic file with name 11011_2025_1782_Figa_HTML.jpg

Keywords: 6-Gingerol, Depression like behavior, High-fat/high-sucrose diet, Metabolic syndrome, Oxidative stress, Brain-Derived neurotrophic factor, Rats

Introduction

Dietary choices are critical determinants of overall health, with high-calorie diets, characterized by elevated fat and sugar content—commonly termed the Western Diet (WD)—being a well-established precursor to overweight and obesity (World Health Organization 2022). This dietary pattern, coupled with an imbalance between energy intake and expenditure, has reached pandemic levels, making it crucial to understand the full spectrum of resulting metabolic and neurological alterations (Ledreux et al. 2016). Prolonged exposure to obesogenic diets, rich in saturated fat and sucrose (HFHS), not only leads to metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM) but also frequently coexists with major depressive disorder (MDD) and anxiety (Shinkov et al. 2018).

Consumption of the WD is stronglpy implicated in promoting neuroinflammatory processes and oxidative stress in the brain (Skinner 2016). Neuroinflammation involves the activation of glial cells, such as astrocytes, which respond to metabolic insults through reactive astrogliosis—marked by the increase in the glial fibrillary acidic protein (GFAP) marker (Nguyen et al. 2014; Mohr et al. 2021). Prior investigations employing rodent models subjected to high fat high sucrose (HFHS) diets have shown that this diet-induced peripheral inflammation rapidly translates into central nervous system dysfunction (Mohr et al. 2021). The brain is particularly susceptible to oxidative damage due to its high oxygen demand, high mitochondrial content, and limited antioxidant defense system (Wojsiat et al. 2018).

Severe depression is linked to neurodegenerative processes driven by this chronic inflammation and oxidative stress, which interfere with synaptic function and neuroplasticity. A key component affected is Brain-Derived Neurotrophic Factor (BDNF), a critical neurotrophin that promotes neuronal growth, regulates synaptic plasticity, and is central to mood regulation and memory (Lu et al. 2014; Numakawa et al. 2018). The neurotrophic hypothesis of depression highlights the direct link between decreased BDNF levels and increased susceptibility to major depressive disorder (MDD), supported by observations of decreased hippocampal volume in depressed patients (Martinowich et al. 2007; Ledreux et al. 2016). Furthermore, neurotransmitter systems (such as Serotonin and Dopamine) are compromised by the same inflammatory and oxidative milieu, contributing directly to core depressive symptoms (Burtscher et al. 2022).

Given the intersection of metabolic dysfunction, oxidative stress, and neuroinflammation in depression, natural antioxidants with multiple health benefits, such as 6-gingerol (C17​H26​O4​), have garnered significant attention. 6-gingerol, chemically known as (S)−5-hydroxy-1-(4-hydroxy-3-methoxyphenol)−3-decanone, is an aromatic polyphenol and a key bioactive component of ginger (Zingiber officinale Roscoe), belonging to the family Zingiberaceae. It has been found to exhibit a range of interesting pharmacological effects, including antioxidant, anti-inflammatory, anti-obesity, antidiabetic, and cardioprotective properties (Gandhi et al. 2023; Esrefoglu and Bak 2014). Most recently, a study demonstrated that 6-gingerol ameliorates adiposity and obesity-associated inflammation in white adipose tissue, linked to the regulation of adipokines in diet-induced obese mice (Hong et al. 2023). Due to its diverse beneficial effects and low toxicity, 6-gingerol is considered a promising candidate (Sarrafan et al. 2021).

Given the role of Western diets—high in fat and sugar—and metabolic dysfunction in depression risk, there is an urgent need for preventive interventions. While 6-gingerol - a bioactive component of ginger - demonstrates metabolic benefits, its neuroprotective potential against diet-induced depression remains unexplored. This study evaluates the effects of low and high doses of 6-gingerol on depression-like behaviors (assessed using the forced swim test [FST] and tail suspension test [TST]), neurochemical markers (BDNF, GABA, AChE), neurotransmitter levels, oxidative/inflammatory status, and brain histopathology in a high-fat/high-sugar (HFHS) diet-induced rat model. The rodent system enables rigorous investigation of these multifactorial interactions through direct tissue analysis. Our findings may position 6-gingerol as a potential prophylactic dietary component to counteract neurological impairments linked to Western-style diets.

Materials and methods

Materials

Animals

Adult male Sprague Dawley rats aged 3–4 weeks (body weight 110–130 g) were procured from the Animal Health Research Institute, Egypt. The rats underwent a one-week acclimatization period in the institute’s animal facility under controlled environmental conditions. Animals were individually housed in stainless steel cages. Environmental parameters were maintained at 23 ± 2 °C ambient temperature with 55–60% relative humidity and a regulated 12-hour light/dark photoperiod. Throughout the study period, all animals had free access to laboratory diet and tap water.

Diet preparations

This study employed two primary dietary regimens. The balanced diet formulated according to AIN-93 nutritional standards (Reeves et al. 1993). The high-fat high-sucrose (HFHS) diet, rats receiving the HFHS diet were provided with unlimited access to a 20% sucrose aqueous solution (De Paula et al. 2024; Mota et al. 2023a, b). The HFHS diet composition delivered 56.55% of calories from fat (beef tallow) and 34.83% from carbohydrates, supplemented with 20% (w/v) sucrose water. Detailed formulations are presented in Table 1.

Table 1.

Composition of balanced, and high-fat high-sucrose diets (g/100 g)

Ingredients Balanced Diet HFHS Diet
Casein 12 12
Corn oil 10 -
Beef tallow - 35
Sucrose 10 10
Corn starch 58.5 38.5
AIN Mineral mix 3.5 3.5
AIN Vitamin mix 1 1
Cellulose 5 -
Additional supplement - 20% (w/v) sucrose water
Total Calories (kCal/g) 4.12 kcal/g 5.57 kcal/g + 0.8 Kcal/mL from sucrose water

Ethical approval

The study protocol received approval from the Institutional Animal Care and Use Committee of the Agriculture Research Centre (ethical approval number: ARC-ARRI-158-24). All experimental procedures strictly adhered to the National Institutes of Health guidelines for laboratory animal care and use (Garber et al. 2011). All experiments were conducted in accordance with relevant guidelines and regulations, including the ARRIVE guidelines, U.K. Animals Act 1986 and associated guideline, EU Directive.

Methods

Experimental design

Following a one-week acclimatization period, 48 rats were randomly allocated into four experimental groups (n = 8 per group):

  • Group 1 (Normal control): Received balanced diet with daily oral administration of 1 mL/kg corn oil.

  • Group 2 (HFHS control): Fed high-fat high-sucrose (HFHS) diet with ad libitum access to 20% sucrose solution and daily 1mL/kg corn oil for 10 weeks.

  • Group 3 (6-Gingerol low dose): Maintained on the balanced diet and received 6-gingerol (C₁₇H₂₆O₄; G1045, molecular weight: 294.39; Sigma-Aldrich, St. Louis, MO, USA) at 100 mg/kg in corn oil (Aboismaiel et al. 2024; Gunawan et al. 2023).

  • Group 4 (6-Gingerol high dose): Maintained on the balanced diet and received 6-gingerol (C₁₇H₂₆O₄; G1045, molecular weight: 294.39; Sigma-Aldrich, St. Louis, MO, USA) at 200 mg/kg in corn oil (Aboismaiel et al. 2024; Gunawan et al. 2023).

  • Group 5 (6-Gingerol low dose): Maintained on the HFHS diet with 15% sucrose solution and received 6-gingerol (C₁₇H₂₆O₄; G1046, molecular weight: 294.39; Sigma-Aldrich, St. Louis, MO, USA) at 100 mg/kg in corn oil (Aboismaiel et al. 2024; Gunawan et al. 2023) by oral gavage once daily for 10 weeks.

  • Group 6 (6-Gingerol high dose): Received Maintained on the HFHS diet with 15% sucrose solution and received 6-gingerol (C₁₇H₂₆O₄; G1046, molecular weight: 294.39; Sigma-Aldrich, St. Louis, MO, USA) at 200 mg/kg in corn oil (Aboismaiel et al. 2024; Gunawan et al. 2023) by oral gavage once daily for 10 weeks.

All animals had continuous access to water and their respective diets. Food and water were replenished every day. Final assessments comprised: final body weight, total food intake, and body weight gain were measured. The Feed efficiency ratio (weight gain/total food intake). The relative weight of the brain was calculated as (brain weight/final body weight) × 100. (Chapman et al. 1959). The body mass index (BMI), was calculated using the formula: BMI = body weight (g)/[length (nose to anus, cm)]².

Assessment of depression-like behaviors

Behavioral testing commenced 24 h following the final treatment administration. All apparatuses were sanitized with 70% ethanol between trials to eliminate olfactory cues and allowed to dry for one minute. A trained observer, blinded to treatment conditions, conducted all behavioral assessments manually.

  • A

    Forced Swim Test (FST).

    The FST represents the gold standard for evaluating depressive-like behavior in rodents. After the 10-week intervention, animals were individually placed in transparent glass cylinders (20 cm diameter × 41 cm height) filled with water (25 ± 1 °C) to a depth of 30 cm, preventing contact with the bottom. Following a 15-minute acclimatization session, rats were dried, warmed, and returned to their home cages. After 24 h, a 5-minute test session was conducted under identical conditions with cleaned cylinders between subjects. Three behavioral parameters were quantified: Immobility time: Periods of passive floating with only minimal movements to maintain buoyancy. Swimming time: Active horizontal movements using forepaws. Climbing time: Vigorous vertical movements against cylinder walls using all limbs (Buddenberg et al. 2009; Detke et al. 1995).

  • B

    Tail Suspension Test (TST).

    In brief, rats were suspended approximately 28 ± 2 cm above the floor by securing their tails 2 cm from the tip. Throughout the 6-minute test period, immobility time was automatically recorded (Crowley et al. 2004; Shang et al. 2015). Immobility is characterized by the cessation of all active movements, including limb swinging (both forelimbs and hindlimbs) and body twisting, in the suspended animal.

Blood and brain sampling

Following behavioral assessments, animals underwent a 12-hour fasting period prior to terminal procedures, and the sucrose aqueous water was replaced with tap water. Anesthesia was induced via intramuscular ketamine hydrochloride (35 mg/kg). Blood samples were collected from the retro-orbital plexus of the anesthetized rats’ eyes. The sera were separated by centrifugation (3000 rpm, 15 min, 4 °C; Laborezentrifugen 2k15, Sigma, Germany) and stored at −20 °C. for subsequent biochemical analyses. Following blood collection, rats were euthanized via cervical dislocation.

Whole brains were rapidly excised and dissected into cerebrum and cerebellum regions. Each region was partitioned for: (a) Biochemical analysis, tissue homogenates (10% w/v in ice-cold phosphate buffer, pH 7.4), were prepared using a mechanical homogenizer (MPW-120, BitLab Medical Instruments, Poland), centrifuged (4000 rpm, 10 min, 4 °C) using a cooling centrifuge (Laboratory Centrifuge, 2K15, Sigma Co., Germany) (Essa et al. 2025). The supernatant was collected, stored at −20 °C for oxidative/antioxidant markers, neurotransmitter quantification, and cytokine profiling (b), histopathological examination: Tissue samples were fixed in 10% neutral buffered formalin.

Metabolic parameter analysis

Fasting blood glucose levels were quantified via enzymatic colorimetric assay (Trinder 1969). The lipid profile was assessed by measuring total cholesterol (TC) (Watson 1960), HDL-C (Burstein et al. 1970), LDL-C (Schriewer et al. 1984), and triglycerides (TG) (Megraw et al. 1979). VLDL-C was derived as TG/5, and non-HDL-C was calculated as TC minus HDL-C. The atherogenic index (TC/HDL-C ratio) was also determined. All analyses employed commercial kits from Spectrum Diagnostic (MDSS GmbH, Hannover, Germany; catalog numbers 250 001, 230 006, 266 001, 280 001, 314 002, respectively). Serum inflammatory and metabolic markers were evaluated using rat-specific enzyme-linked immunosorbent assay (ELISA) kits. These included hs-CRP (Catalog No. SL0348Ra), Leptin (Catalog No. SL0441Ra), and Insulin (Catalog No. SL0373Ra), all from Sunlong Biotechnology Co., LTD, Hangzhou, China. Insulin resistance was calculated using the following formula: HOMA-IR index = [fasting glucose (mg/dL) × fasting insulin (µU/mL)/405] (Matthews et al. 1985).

Assessment of oxidative/antioxidant parameters

Brain tissue oxidative status was evaluated by quantifying the levels of malondialdehyde (MDA, a lipid peroxidation marker), protein carbonyl (PC), reduced glutathione (GSH), glutathione peroxidase (GPx), and nitric oxide (NO). Spectrophotometric analyses were performed according to established methods: MDA (Nair and Turner 1984), PC (Levine et al. 1990), GSH (Jollow et al. 1974), GPx (Rotruck et al. 1973), and NO (Montgomery and Dymock 1961). All measurements utilized commercial colorimetric kits following the manufacturers’ protocols. Analyses for MDA, GSH, GPx, and NO were performed using kits from Spectrum Biodiagnostics (Cairo, Egypt; catalog numbers MD 25 29, GR 25 11, GP 25 24, and NO 25 33, respectively). The PC assay was conducted using a colorimetric kit from Elabscience (catalog No. E-BC-K117-S). Absorbance readings were obtained using a Shimadzu UV-2401 PC spectrophotometer (Australia).

Interleukin − 6 (IL-6) and tumor necrosis factor (TNF-α) assessment in brain tissue

TNF-α and IL-6 concentrations in brain homogenates were quantified using rat-specific ELISA kits (Cat. No. TNF-α: SL0722Ra, IL-6: SL0411Ra, Sunlong Biotechnology Co., LTD, Hangzhou, China) following manufacturer’s protocols.

Assessment of acetylcholinesterase (AChE), gamma-aminobutyric acid (GABA), and brain-derived neurotrophic factor (BDNF)

AChE activity, GABA, and BDNF levels in brain homogenates were measured using rat-specific ELISA kits. (Cat. No: SL0027Ra, SL0299Ra, SL1207Ra respectively, Sunlong Biotechnology Co., LTD, Hangzhou, China) according to the manufacturer’s protocols.

Evaluation of dopamine and serotonin in brain homogenate

Dopamine (Cat. No. SL0243Ra) and serotonin (Cat. No. SL1046Ra) concentrations were determined via rat-specific ELISA kits (Sunlong Biotechnology Co., LTD, Hangzhou, China) according to manufacturer instructions.

Histopathological studies

Histopathological analysis

At the end of the experiment, the brain tissues (prefrontal area of the cerebral cortex and the cerebellar cortex) from all rats in the experimental groups were removed and prepared for histological diagnosis. The tissue specimens were immediately fixed in 10% neutral buffered formalin. Then, the fixed tissue samples from the cerebrum and cerebellum were processed, embedded in paraffin blocks and sectioned into 4–5 μm slices using a rotary microtome. After deparaffinization, the sections were stained with hematoxylin and eosin (H&E) and mounted (Suvarna et al. 2013). The prepared slides were examined under a light microscope (Leica DMIL, Leica Microsystems, Germany) at different magnifications to assess tissue morphology and histopathological alterations in a blind manner.

At the end of the experiment, the brain tissues (prefrontal area of the cerebral cortex and the cerebellar cortex) from all rats in the experimental groups were removed and prepared for histological diagnosis. The tissue specimens were immediately fixed in 10% neutral buffered formalin. Then, the fixed tissue samples from the cerebrum and cerebellum were processed, embedded in paraffin blocks and sectioned into 4–5 μm slices using a rotary microtome. After deparaffinization, the sections were stained with hematoxylin and eosin (H&E) and mounted (Suvarna et al. 2013). The prepared slides were examined under a light microscope (Leica DMIL, Leica Microsystems, Germany) at different magnifications to assess tissue morphology and histopathological alterations in a blind manner.

Histopathological scoring of the brain tissues was evaluated as described in previous studies (Bilgiç et al. 2023). Neuronal degeneration and necrosis, perineural space, neurophagia, neuropil vacuolization, inflammatory cell infiltrations, hemorrhagic areas, vascular congestion and perivascular space were estimated for the cerebral tissues. For the cerebellum, changes of shape of Purkinje cells, disappearance of Purkinje cells, degenerated neurons and vascular congestion were scored. The scoring parameters were quantified (three rats/each group) according to their incidence and severity into several grades; no damage: 0, mild damage: 1, mild-moderate damage: 2, moderate damage: 3, moderate-severe damage: 4 and severe damage: 5.

  • I.

    Histochemical analysis

The brain tissue sections were stained by toluidine blue (T.B.) and congo red (C.R.) stains to visualize particular histochemical features according to Nallagouni and Reddy (2017). A semi-quantitative scoring system for the different histochemical features were applied, as follows; 0: negative, 1: very weak positive, 2: weak positive, 3: moderate positive, 4: strong positive and 5: very strong positive.

Immunohistochemistry analysis

Glial fibrillary acidic protein (GFAP) and inducible nitric oxide synthase (iNOS) immunohistochemistry was performed on paraffin-embedded sections according to Erba et al. (2018). The tissue sections were deparaffinized, rehydrated and incubated in 0.3% hydrogen peroxide solution in methanol at room temperature for 30 min to block endogenous peroxidase activity. Then, the sections were heated in a microwave oven at 720 W for 25 min for antigen retrieval. Incubation with primary antibodies against GFAP (Rabbit mAb, catalog no.: A19058, RRID: AB_2862551) and iNOS (Rabbit pAb, catalog no.: A14031, RRID: AB_2760886) (dil. 1/100 and 1: 50, subsequently) at 4 °C overnight was performed. Followed by, washing with phosphate buffered saline (pH 7.4) and incubation with secondary antibody (dil. 1: 200) and streptavidin/alkaline phosphatase complex (dil. 1: 200) for 30 min at room temperature were done. 3,3′-diaminobenzidine (DAB) was added for 10 min to obtain the staining reaction. Finally, they counterstained with Mayer’s hematoxylin, mounted, and examined by light microscope. Positive brown immunostained cells were counted at 40× magnification for each rat (three rats/each group) in a blinded manner and the mean values were obtained.

Statistical analysis

The Shapiro–Wilk test was used to assess the normality of the data distributions. All data sets were confirmed to exhibit a normal distribution, thus supporting the use of parametric tests (One-Way ANOVA). Data are expressed as mean ± SE and analyzed using SPSS v25. One-way ANOVA with Tukey’s post-hoc test assessed intergroup differences (p ≤ 0.05). Histopathological data were evaluated using Tukey’s test and Kruskal-Wallis with Dunn’s multiple comparisons.

Results

Forced swim test (FST)

The HFHS diet group exhibited significant (p < 0.05) depressive-like behaviors, showing a 53% reduction in climbing time and 59% reduction in swimming time compared to normal controls, along with a 98% increase in immobility time. Treatment with high-dose 6-gingerol significantly (p < 0.05) reversed these effects, increasing climbing time by 79% and swimming time by 109% while decreasing immobility time by 37% compared to the HFHS group. The low-dose group showed intermediate improvements, demonstrating a dose-dependent therapeutic effect. These results indicate that 6-gingerol effectively mitigates HFHS diet-induced behavioral despair, with the high dose restoring activity levels close to normal control values (Fig. 1).

Fig. 1.

Fig. 1

6-Gingerol at doses of 100 and 200 mg/kg ameliorates HFHS diet-induced depressive-like behaviors in the forced swim test. A; Time spent in swimming (s). B; Time spent in climbing (s). C; Time spent in immobility (s). Data are presented as mean ± SEM for n=8 rats per group. All data are presented as Mean ± SEM. Statistical significance was assessed using one-way ANOVA followed by Tukey's post-hoc test. Superscript letters denote statistical differences within each row: values sharing identical letters (e.g., a or b) are not significantly different (p>0.05). Distinct letters indicate a statistically significant difference (p<0.05) between the groups. HFHSD: high fat high sucrose diet group; L 6-G: Low dose 6 gingerol group; H 6-G: high dose 6 gingerol group; HFHSD+ L 6-G: high fat high sucrose diet group+ Low dose 6 gingerol group; HFHSD+ H 6-G: high fat high sucrose diet group+ High dose 6 gingerol group

Tail suspension test (TST)

As shown in Fig. 2, the HFHS diet group demonstrated significant (p < 0.05) depressive-like behavior, exhibiting a 2.2-fold increase in immobility time compared to normal controls. Treatment with 6-gingerol significantly (p < 0.05) reduced immobility time in a dose-dependent manner, with the high dose showing a 46% reduction compared to the HFHS group. While the low dose produced a 28% decrease in immobility time, only the high dose restored values to near-normal levels.

Fig. 2.

Fig. 2

6-Gingerol at doses of 100 and 200 mg/kg ameliorates HFHS diet- Induced Behavioral Despair in the Tail Suspension Test (s). Data are presented as mean ± SEM for n = 8 rats per group. All data are presented as Mean ± SEM. Statistical significance was assessed using one-way ANOVA followed by Tukey’s post-hoc test. Superscript letters denote statistical differences within each row: values sharing identical letters (e.g., a or b) are not significantly different (p > 0.05). Distinct letters indicate a statistically significant difference (p < 0.05) between the groups. HFHSD: high fat high sucrose diet group; L 6-G: Low dose 6 gingerol group; H 6-G: high dose 6 gingerol group; HFHSD + L 6-G: high fat high sucrose diet group + Low dose 6 gingerol group; HFHSD + H 6-G: high fat high sucrose diet group + High dose 6 gingerol group

Nutritional parameters

As shown in Table (2), the HFHS diet group exhibited significant (p < 0.05) increases in final body weight (1.58-fold), body weight gain (2.12-fold), feed efficiency ratio (2.15-fold), and relative brain weight (1.39-fold) compared to normal controls. Water intake also increased significantly (p < 0.05) by 1.27-fold in HFHS-fed rats. Treatment with low-dose 6-gingerol partially reversed these effects, reducing body weight gain by 28.8% and feed efficiency by 32.1% versus the HFHS group. High-dose 6-gingerol showed greater efficacy, normalizing final body weight and body weight gain to levels statistically indistinguishable (p< 0.05) from normal controls, while reducing feed efficiency by 46.4% and water intake by 13.2% compared to HFHS rats. Notably, both doses significantly (p < 0.05) restored relative brain weight to control levels.

Table 2.

Nutritional parameters among in the different experimental groups

parameters Normal control group HFHS Diet group Low dose
6-Gingerol
group
High dose
6-Gingerol
group
HFHS + Low dose
6-Gingerol
group
HFHS + High dose
6-Gingerol
group
F-value
Initial body weight (g) 120.3 ± 3.12a 120.1 ± 2.99 a 120.2 ± 3.05 a 120.4 ± 3.15 a 120.5 ± 3.11 a 120.4 ± 3.41 a 0.002
Final body weight (g) 250.83 ± 7.12 a 396.38 ± 7.87 b 248.17 ± 6.87 a 245.83 ± 7.05 a 317.27 ± 6.42 c 274.27 ± 6.34 a, c 72.320
Body mass index (g/cm 2) 0.462 ± 0.021 a 0.763 ± 0.011 b 0.458 ± 0.019 a 0.455 ± 0.021 a 0.60 ± 0.015 0.511 ± 0.014 49.875
Body weight gain (g) 130.53 ± 4.25 a 276.28 ± 5.34 b 127.97 ± 4.12 a 125.13 ± 4.22 a 196.77 ± 4.84 c 153.87 ± 4.57 a 168.010
Total food intake (g) 998.18 ± 9.13 a 974.81 ± 7.21a 995.45 ± 8.45 a 999.12 ± 8.80 a 984.21 ± 7.53 a 999.31 ± 8.22 a 1.499
Feed efficiency ratio 0.13 ± 0.012 a 0.28 ± 0.01 b 0.128 ± 0.011 a 0.125 ± 0.012 a 0.19 ± 0.01 c 0.15 ± 0.01 a 30.873
Total water intake (ml) 2230.5 ± 18.54 a 2826.60 ± 33.56 b 2225.8 ± 19.12 a 2218.3 ± 18.95 a 2607.7 ± 25.42 c 2452.60 ± 21.33 a 114.923
Relative brain weight 0.783 ± 0.02 a 1.088 ± 0.02 b 0.778 ± 0.02 a 0.770 ± 0.02 a 0.740 ± 0.02 c 0.794 ± 0.02 a 42.176

All data are presented as Mean ± SEM. Statistical significance was assessed using one-way ANOVA followed by Tukey’s post-hoc test. Superscript letters denote statistical differences within each row: values sharing identical letters (e.g., a or b) are not significantly different (p > 0.05). Distinct letters indicate a statistically significant difference (p < 0.05) between the groups

Metabolic parameter

As shown in Table (3) show that The HFHS diet group exhibited significant (p < 0.05) elevations in lipid parameters compared to the normal group, with 3.7-fold higher TC, 3.6-fold higher TG, and 12.4-fold higher LDL-C, alongside reduced HDL-C (29%). Treatment with 6-gingerol significantly (p < 0.05) mitigated these alterations in a dose-dependent manner: the high dose reduced TC (59%), TG (55%), and LDL-C (57%) versus the HFHS group, while restoring HDL-C to near-normal levels (29%). Similarly, HFHS-induced hyperglycemia (1.9-fold) and insulin resistance (3.2-fold) were significantly (p < 0.05) ameliorated by high-dose 6-gingerol (glucose 42%, IR 58%). Inflammatory markers (hs-CRP, leptin) followed a comparable trend, with the high dose normalizing hs-CRP (54%) and leptin (55%) to near-baseline levels. These findings demonstrate 6-gingerol’s significant (p < 0.05) protective effects against HFHS-induced metabolic dysfunction.

Table 3.

Effects of 6-Gingerol on metabolic parameters in different experimental groups

Parameters Normal control Group HFHS Diet Group Low dose
6-Gingerol
group
High dose
6-Gingerol
group
HFHS + Low dose
6-Gingerol
group
HFHS + High dose
6-Gingerol
group
F-value
TC (mg/dL) 79.82 ± 1.23ᵃ 297.32 ± 4.52ᵇ 80.21 ± 1.35ᵃ 77.65 ± 1.40ᵃ 189.59 ± 3.12ᶜ 120.81 ± 2.82ᵈ 1068.520
TG (mg/dL) 67.20 ± 1.45ᵃ 201.90 ± 3.64ᵇ 65.88 ± 1.58ᵃ 65.41 ± 1.62ᵃ 157.94 ± 3.11ᶜ 118.78 ± 2.73ᵈ 527.865
HDL-C (mg/dL) 45.35 ± 1.73ᵃ 32.23 ± 1.04ᵇ 46.12 ± 1.81ᵃ 46.58 ± 1.85ᵃ 36.45 ± 1.51ᶜ 41.57 ± 1.69a, c 13.074
LDL-C (mg/dL) 17.93 ± 1.28ᵃ 222.03 ± 4.31ᵇ 16.51 ± 1.41ᵃ 15.87 ± 1.45ᵃ 158.60 ± 3.85ᶜ 94.51 ± 3.53ᵈ 888.874
VLDL-C (mg/dL) 17.44 ± 0.36ᵃ 62.38 ± 0.93ᵇ 17.11 ± 0.40ᵃ 16.98 ± 0.42ᵃ 41.67 ± 0.65ᶜ 28.36 ± 0.44ᵈ 1034.320
Non-HDL-C (mg/dL) 34.47 ± 1.52ᵃ 265.09 ± 4.11ᵇ 32.09 ± 1.67ᵃ 31.07 ± 1.72ᵃ 153.14 ± 3.40ᶜ 80.24 ± 2.99ᵈ 1164.990
TC/HDL-C 1.76 ± 0.22ᵃ 9.22 ± 0.67ᵇ 1.74 ± 0.24ᵃ 1.67 ± 0.25ᵃ 5.20 ± 0.71ᶜ 2.98 ± 0.46a 40.455
glucose (mg/dl) 73.71 ± 2.41ᵃ 139.65 ± 3.68ᵇ 72.58 ± 2.55ᵃ 71.83 ± 2.61ᵃ 103.71 ± 2.61ᶜ 81.02 ± 2.11a 99.205
Insulin (mU/L) 13.40 ± 1.12ᵃ 22.44 ± 1.57ᵇ 12.92 ± 1.23ᵃ 12.61 ± 1.26ᵃ 19.27 ± 1.41ᶜ 16.13 ± 1.11ᵈ 9.541
IR 2.43 ± 0.81ᵃ 7.74 ± 1.04ᵇ 2.32 ± 0.89ᵃ 2.21 ± 0.91ᵃ 4.93 ± 0.66ᶜ 3.22 ± 0.75a 6.538
hs-CRP (ng/ml) 2.93 ± 0.51ᵃ 7.81 ± 0.88ᵇ 2.79 ± 0.56ᵃ 2.71 ± 0.58ᵃ 4.99 ± 0.61ᶜ 3.58 ± 0.58a 9.947
Leptin (ng/ml) 24.21 ± 2.58ᵃ 65.37 ± 4.21ᵇ 23.58 ± 2.79ᵃ 23.12 ± 2.85ᵃ 42.96 ± 2.79ᶜ 29.44 ± 2.63a 30.646

All data are presented as Mean ± SEM. Statistical significance was assessed using one-way ANOVA followed by Tukey’s post-hoc test. Superscript letters denote statistical differences within each row: values sharing identical letters (e.g., a or b) are not significantly different (p > 0.05). Distinct letters indicate a statistically significant difference (p < 0.05) between the groups

Oxidative stress/inflammatory parameters

The HFHS diet group exhibited significant (p < 0.05) oxidative damage in both cerebrum and cerebellum, with 3.7-fold higher MDA, 2.2-fold higher PC, and 3.1-fold higher NO versus the normal group, alongside 70% depletion of GSH and 67% reduction in GPx activity. Neuroinflammation was markedly elevated, with 3.7-fold higher IL-6 and 3.3-fold higher TNF-α. Treatment with high-dose 6-gingerol significantly (p < 0.05) reversed these effects, reducing MDA (54% in cerebrum, 46% in cerebellum), PC (44% in cerebrum, 41% in cerebellum), and NO (48% in cerebrum, 48% in cerebellum) compared to the HFHS group. Antioxidant defenses were restored, with GSH increasing 2.7-fold and GPx activity 2.7-fold in the high-dose group. Pro-inflammatory cytokines were also significantly (p< 0.05) suppressed (IL-6 67%, TNF-α 62%), nearly normalizing to control levels (Table 2). The low dose showed intermediate effects, while the high dose demonstrated near-complete neuroprotection, highlighting its therapeutic potential against HFHS-induced brain injury (Table 4).

Table 4.

Neuroprotective effects of 6-Gingerol on oxidative stress, antioxidants, and neuroinflammation in HFHS Diet-induced brain injury among the different studied groups

Brain Tissues Parametes Normal control Group HFHS Diet Group Low dose
6Gingerolgroup
High dose
6Gingerolgroup
HFHS +Low dose
6-Gingerolgroup
HFHS +High dose
6-Gingerolgroup
F-value
Cerebrum MDA(nmol/mg tissue) 5.29±1.50ᵃ 19.52±1.11ᵇ 5.01 ± 1.58ᵃ 4.87 ± 1.62ᵃ 14.21±1.09ᶜ 9.04±1.23ᵃ 19.318
PC(nmol/mg tissue) 24.31±1.46ᵃ 54.48±1.38ᵇ 23.58 ±1.53ᵃ 22.95 ± 1.59ᵃ 39.67±1.51ᶜ 30.25±1.22ᵃ 73.611
NO(nmol/mg tissue) 5.60±1.47ᵃ 17.24±1.11ᵇ 5.32 ± 1.55ᵃ 5.18 ± 1.60ᵃ 14.54±1.18ᶜ 8.91±0.98ᵃ 15.352
GSH(nmol/mg tissue) 20.28±0.57ᵃ 6.17±0.29ᵇ 20.82 ± 0.60ᵃ 21.24 ± 0.62ᵃ 11.90±0.39ᶜ 16.72±0.55ᵃ 136.383
GPx(U/mg tissue) 46.13±0.44ᵃ 15.38±0.64ᵇ 47.25 ± 0.47ᵃ 47.91 ± 0.49ᵃ 32.12±0.47ᶜ 41.07±0.56ᵃ 604.207
IL-6(pg/mg tissue) 261.13±4.32ᵃ 966±8.62ᵇ 253.45 ±4.55ᵃ 248.12 ±4.65ᵃ 481.31±5.56ᶜ 320.0±4.38ᵃ 2552.760
TNF-α(pg/mg tissue) 240.22±4.11ᵃ 792.0±6.91ᵇ 233.01 ±4.32ᵃ 228.50 ±4.45ᵃ 379.16±5.11ᶜ 299.11±4.05ᵃ 1964.900
Cerebellum MDA(nmol/mg tissue) 4.42±1.15ᵃ 15.47±0.99ᵇ 4.20 ± 1.21ᵃ 4.08 ± 1.25ᵃ 11.18±1.23ᶜ 8.31±1.15ᵃ 15.963
PC(nmol/mg tissue) 19.45±1.31ᵃ 42.79±1.61ᵇ 18.87 ± 1.38ᵃ 18.36 ± 1.43ᵃ 33.60±1.43ᶜ 25.11±1.31ᵃ 49.102
NO(nmol/mg tissue) 6.45±1.75ᵃ 18.71±1.11ᵇ 6.12 ± 1.83ᵃ 5.96 ± 1.89ᵃ 15.11±0.99ᶜ 9.79±1.08ᵃ 13.043
GSH(nmol/mg tissue) 22.34±0.61ᵃ 7.40±0.32ᵇ 22.91 ± 0.64ᵃ 23.35 ± 0.66ᵃ 12.85±0.42ᶜ 17.73±0.53ᵃ 141.937
GPx(U/mg tissue) 46.13±0.44ᵃ 15.38±0.64ᵇ 47.25 ± 0.47ᵃ 47.91 ± 0.49ᵃ 32.12±0.47ᶜ 41.07±0.56ᵃ 604.207
IL-6(pg/mg tissue) 259.86±4.08ᵃ 909±7.58ᵇ 252.31 ±4.29ᵃ 247.18 ±4.42ᵃ 386.61±4.15ᶜ 316.25±3.89ᵃ 2750.250
TNF-α(pg/mg tissue) 239.10±3.88ᵃ 789.03±6.8ᵇ 232.12 ±4.08ᵃ 227.78 ±4.22ᵃ 426±4.85ᶜ 300.79±4.11ᵃ 2114.040

All data are presented as Mean ± SEM. Statistical significance was assessed using one-way ANOVA followed by Tukey's post-hoc test. Superscript letters denote statistical differences within each row: values sharing identical letters (e.g., a or b) are not significantly different (p>0.05). Distinct letters indicate a statistically significant difference (p<0.05) between the groups

Neurochemical parameters

The HFHS diet group showed significant (p < 0.05) neurochemical alterations, including 3.8-fold lower BDNF, 3.0-fold lower AChE, 2.7-fold higher GABA, and 1.6–1.8-fold lower serotonin and dopamine versus the normal group in both brain regions. Treatment with high-dose 6-gingerol significantly (p < 0.05) reversed these effects, restoring BDNF to near-normal levels (↑3.1-fold vs. HFHS), normalizing AChE activity (↑2.6-fold), and reducing GABA (↓47%). Monoamine neurotransmitters were similarly rescued, with serotonin and dopamine levels increasing by 54% and 69%, respectively, compared to the HFHS group. The low dose showed intermediate efficacy, while the high dose demonstrated near-complete restoration of neurochemical homeostasis as shown in Table (5), suggesting potent neuroprotective effects against HFHS-induced dysfunction.

Table 5.

6-Gingerol modulates neurotrophic factors and neurotransmitters in HFHS Diet-Induced Brain injury

Brain Tissues Parameters Normal control Group HFHS Diet Group Low dose
6-Gingerol
group
High dose
6-Gingerol
group
HFHS +Low dose
6-Gingerol
group
HFHS +High dose
6-Gingerol
group
F-value
Cerebrum

BDNF

(µg/g tissue)

90.12±3.87ᵃ 23.68±0.99ᵇ 91.75 ±4.05ᵃ 93.21 ± 4.18ᵃ 49.36±3.21ᶜ 74.04±3.37ᵃ 67.201

AChE

(U/g tissue)

226.21±4.65ᵃ 75.40±3.54ᵇ 230.15 ± 4.88ᵃ 231.87±5.11ᵃ 153.65±3.12ᶜ 198.74±3.81ᵃ 211.699

GABA

(µg/g tissue)

61.31±2.98ᵃ 165.54±3.01ᵇ 59.87 ± 3.13ᵃ 58.52 ± 3.27ᵃ 113.81±3.41ᶜ 87.37±2.89ᵃ 184.799

Serotonin

(ng/g tissue)

417.11±6.30ᵃ 254.26±5.41ᵇ 419.14 ± 6.62ᵃ 420.51±6.88ᵃ 318.63±3.91ᶜ 390.56±4.70ᵃ 143.655

Dopamine

(ng/g tissue)

411.32±5.21ᵃ 228.33±4.73ᵇ 414.88 ± 5.47ᵃ 415.75±5.71ᵃ 297.78±3.22ᶜ 386.11±3.42ᵃ 274.152
Cerebellum

BDNF

(µg/g tissue)

87.00±3.65ᵃ 24.85±1.87ᵇ 89.21 ± 3.83ᵃ 90.87 ± 3.98ᵃ 51.22±2.54ᶜ 69.00±2.11ᵃ 71.620

AChE

(U/g tissue)

230.86±4.21ᵃ 82.45±2.24ᵇ 233.52 ± 4.42ᵃ 234.98±4.61ᵃ 160.41±3.21ᶜ 202.71±3.77ᵃ 247.869

GABA

(µg/g tissue)

64.05±3.11ᵃ 163.33±2.99ᵇ 62.48 ± 3.27ᵃ 61.10 ± 3.41ᵃ 115.21±2.76ᶜ 89.15±2.22ᵃ 184.903

Serotonin

(ng/g tissue)

416.0±5.65ᵃ 273.68±4.21ᵇ 417.62 ± 5.93ᵃ 419.24±6.17ᵃ 315.05±3.72ᶜ 391±4.66ᵃ 147.846

Dopamine

(ng/g tissue)

408.34±5.10ᵃ 226.67±4.51ᵇ 411.71 ± 5.36ᵃ 413.37±5.58ᵃ 299.75±3.41ᶜ 381.95±3.20ᵃ 278.184

All data are presented as Mean ± SEM. Statistical analysis was performed using one-way ANOVA followed by Tukey's post-hoc test. Superscript letters denote statistical differences within each row: values sharing identical letters (e.g., a or b) are not significantly different (p>0.05), while distinct letters indicate a statistically significant difference (p<0.05) between the compared groups

Histopathological examination

Histopathological findings

  • I.
    Histopathological examination
    • A
      Cerebral tissues:
      Microscopically, the cerebral tissues of control group revealed normal histological architecture, consisting of six successive layers from outside to inward with no sharp boundaries; the external molecular, the external granular, the external pyramidal, the internal granular, the internal pyramidal and the multiform. Pyramidal neurons, neuroglia cells and granule cells were visible through the layers. There were many blood vessels with narrow perivascular spaces embedded within acidophilic neuropil that appeared as a mat of neuronal and glial cell processes. The intact meninges were also seen (Fig. 3 A&B).
      In contrary, HFHS diet-treated group revealed that prominent multifocal histopathological changes in the form of hypercellularity with discontinuity and separation of layers of meninges when compared with the control group. Signs of degeneration and necrosis were marked on the neurons as deeply shrunken, acidophilic cytoplasm, pyknotic nuclei and loss of their processes and Nissl bodies as well as neurophagia. Also, presence of abnormal neurons with neurofibrillary tangles (flame shaped processes). Granule cells were stained faintly and loss of their nucleoli. Necrotic areas and hyalinization were dispersed in the tissues in some sections. There was a deposition of acidophilic material (amyloid deposition) in some sections. Wide perineural space were seen around neurons and glial cells. Focal astrocytosis, gliosis and inflammatory cell infiltrations specially around blood vessels were seen. Also, there was dilated and congested blood vessels with wide perivascular space as well as vasculitis and vacuolations of their walls were seen among vacuolated neuropil. Variable degrees of edema, hemorrhage with hemosiderin pigments and congested blood vessels were obviously seen in the tissues and meninges (Fig.3 C-H).
      Examination from 6-gingerol-treated groups (low and high) exhibited normal architecture with no apparent pathological abnormalities (Fig.3 I-L).
      In resemblance to the control group, HFHS + LG and HFHS + HG groups revealed an apparent improvement in the histological structures specially in group treated with high dose of 6-gingerol (Fig.3 M-P). Most of the neurons were nearly normal but some of them were necrotic with wide perineural space. Some of the blood vessels showed mild congestion with wide perivascular spaces which more obvious in LG-treated group.
    • B
      Cerebellar tissues:
      As evidenced in Fig. 4 A&B, the cerebellar tissues of control group characterized by normal outer cortex of grey matter and inner medulla of white matter. The grey matter was formed from three layers. Firstly, the molecular layer was formed of small scattered superficial stellate cells and large deep basket cells with nerve fibers. Followed by, the Purkinje cell layer that consisted of large pear-shaped Purkinje neurons with prominent nucleolus, Nissl's granules and long apical dendrites as well as they uniformly arranged in one row along the outer margin of the granular layer, in addition to, Bergmann astrocytes and glia cells. The granular layer had vast numbers of very small closely packed granular cells within clear cerebellar islands. The inner medulla contained nerve fibers, supporting neuroglial cells and small blood vessels.
      While the tissues of HFHS diet-treated group exhibited marked alterations as compared to that of control group. The molecular layer showed pyknotic nuclei of their cells. Marked shrunken purkinje cells with pyknotic nuclei in Purkinje layer, degenerated cells and most of them were completely disappeared leaving empty spaces as well as appearance of numerous astrocytes and glia cells, in addition to, marked disarrangement. The granular cells had clumped appearance with pyknotic nuclei and became thin in some sections with wide cerebellar islands. There was vacuolations in the tissues. Dilated and congested blood vessels were appeared in white matter (Fig. 4C&D).
      Administration of LG or HG- diets, didn’t induce any histopathological changes in the tissues as illustrated in Fig.4 E-H.
      Gingerol had ameliorative effect against neurotoxicity exerted by HFHS diet in LG (Fig.4 I&J) and HG (Fig.4 K&L) groups that caused a somewhat enhancement of cerebellar architecture with normal arrangement of Purkinje cells. The histological picture was more or less similar to control group. Few of Purkinje cells revealed empty spaces and mild congested blood vessels were seen in the low Gingerol-treated group.
    • C
      Histopathological scoring:
      The histopathological scoring of the cerebral and cerebellar lesions of H&E examined sections among treated groups was illustrated in Table (6). These observations indicated that the HFHS diet led to extensive structural and cellular brain damage as a result of neuroinflammation and disrupted neurovascular integrity. The histopathological scoring of cerebral tissues, revealed significant neurodegenerative and inflammatory alterations in the HFHS diet-fed group. There was a prominent increase in scores for neuronal degeneration and necrosis, perineural space enlargement, neurophagia, and neuropil vacuolization compared to the control group. Furthermore, elevated levels of scores of inflammatory cell infiltration, vascular congestion, hemorrhagic areas, and perivascular space were evident. The scoring of cerebellar tissues revealed significant structural alterations in the HFHS diet-fed group, including changes in Purkinje cell shape, loss of Purkinje cells, neuronal degeneration, and vascular congestion.
  • II.

    Histochemical examination

    Examination of toluidine blue of cerebral and cerebellar tissue sections of different groups showed in Fig. 5 (A-L) and Table (6). The control one, LG and HG groups revealed intact normal stained cells; normal neurons with pale cytoplasm and basophilic Nissl’s granules as well as glial cell and granule cells within the intact neuropil in the cerebrum. The structural layers of the cerebellum had normal intact cells; the Purkinje cells with a central vesicular nucleus and visible Nissl's granules. In contrary, HFHS diet-treated group showed necrotic neurons and Purkinje cells with less Nissl's granules in both cerebrum and cerebellum that detecting necro-degenerative changes of neurons. However, treatment with HFHS diet and gingerol, the tissues revealed normal cells and some of them with less Nissl’s granules specially in low gingerol-treated group.

    In the Congo red-stained tissue sections, amyloid deposits in the affected cells and the neuropil as a dark pink homogenous extracellular distribution as well as irregular shape of neurons were detected in cerebral and cerebellar tissues in HFHS diet-treated group compared with control group. While tissues of low and high gingerol only–treated groups resembled normal control group. Treatment of HFHS diet-treated group with 6-gingerol had appearance of mild deposits of amyloid material specially in LG +HFHS treated group with normal morphology of neurons (Fig. 5 M-X and Table6).

  • III.

    Immunohistochemistry analysis:

    Brain tissue sections were stained with GFAP immunostaining, as shown in Fig. 6 (A-L) and Table 6. In the control rats, weak positive GFAP immunoreactivity of the astrocytes in the cerebrum and the cerebellum were seen and they appeared as few dispersed brown cells with network of fine processes extending throughout the tissues. They could be seen surrounding neurons and blood vessels. In contrast, there was strong positive immunostained cells with several thick branched processes and increased in size and number in both the cerebrum and cerebellum in response to the HFHS diet-treated group compering with control group. As a result of astrogliosis, the cells became hypertrophied and increase in number. The gingerol+ HFHS diet treated rats showed mild to moderate positive GFAP immunoreactivity in tissues which was more common in LG+ HFHS treated group. Table (6) showed significantly increasing in GFAP immunoreactivity in HFHS diet-fed group (24.0±2.08, 22.0±5.29) compared to control across the cerebral and cerebellar tissues. While LG + HFHS group exhibited a moderate increase (10.66±0.88). This upregulation indicates enhanced astrocyte activation, consistent with neuro-inflammatory responses associated with metabolic stress induced by the HFHS diet.

    The findings illustrated in Fig. 6 (M-X). and Table (6) that showed of the iNOS immune-reactions in the cerebrum and cerebellum tissues among the different experimental groups. iNOS immunoreactivity was no to very weak in the cytoplasm of glia cells and astrocytes in the cerebrum and cerebellum of the control rats. In contrast, the HFHS diet-treated group was exhibited a significant increase in iNOS expression in glia cells and astrocytes under activation, in addition to, neurons of cerebrum and Purkinje and basket cells of cerebellum as well as endothelial cells of the blood vessels as a neuro-inflammation sign. While the 6-gingerol treatment with HFHS diet resulted in a dose-dependent decrease in iNOS expression in neurons.

    As shown in Table 6, the levels of iNOS immunoreactivity in the HFHS diet-fed group were significantly elevated in both the cerebral (15.0 ± 2.89) and cerebellar (14.33 ± 3.84) tissues compared to the control group. This increase reflects heightened inflammatory activity, suggesting that the HFHS diet induces neuro-inflammation across multiple brain regions.

Fig. 3.

Fig. 3

Effect of 6-Gingerol on microscopic examination of cerebral tissues of different treated groups (H&E, Scale bar; x 10: 50 μm & x 40: 20 μm). Data are presented as mean± SEM. Statistical analysis was performed using Tukey's test and Kruskal-Wallis followed by Dunn's multiple comparisons (as applicable). Identical superscript letters indicate a non-significant difference (p>0.05), whereas distinct letters denote a statistically significant difference (p≤0.05). Control group. A: Normal histological structure: external molecular (I), external granular (II), external pyramidal (III), internal granular (IV), internal pyramidal (V) and multiform layers (VI) and intact meninges (M). B: Normal structure. Neurons (N) had large distinct pale staining nuclei and prominent nucleoli with peripheral basophilic Nissl granules, neuroglial cells (L) had small dark nuclei, granule cell (G) with pale open face nucleus and eosinophilic neuropil (NP). HFHS group. C: Separation of layers of meninges (M) by edema (E) and hemorrhage (H), congested blood vessels (BV), hypercellularity (HC), necrotic area (NA) and vacuolated neuropil (NP). D: Prominent necrotic neurons (N) with perineural space, neurofibrillary tangles (yellow arrows), necrotic neuroglial cells (L) with perineural space, neurophagia (NG), vacuolated neuropil (NP) and congested blood vessel (BV). E: Separated layers of meninges (M) with congested blood vessels (BV), degenerated neurons (N) with perineural space, hyalinization (HL) and vacuolated neuropil (NP). F: Necrotic neurons (N) and neuroglial cells (L) with perineural space, hemorrhagic area (HM) and vacuolated neuropil (NP). G: Acidophilic materials (AM) and hemosiderin pigments (green arrow). H: Necrotic neurons (N) with perineural space, focal gliosis (GL), inflammatory cells (I), vacuolated neuropil (NP), congested blood vessels (BV) with perivascular spaces of tissue and meninges (M). LG group. I: Normal histological structures, congested blood vessel (BV). J: Normal neurons (N), neuroglial cell (L) and granule cell (G) within neuropil (NP). HG group. K: Normal histology with intact neurons (N). L: Normal neurons (N), neuroglial cell (L) and within neuropil (NP). HFHS +LG group. M: Improvement in histological structure, some neurons (N) with perineural space, some blood vessels (BV) were congested with perivascular spaces. N: Normal neurons, some neurons (N) and neuroglial cells (L) with perineural space.HG group. O: Nearly normal histological structure and few congested blood vessels (BV). P: Normal neurons (N), neuroglial cell (L) and granule cell (G) and neuropil (NP)

Fig. 4.

Fig. 4

Effect of 6-Gingerol on Microscopic examination of cerebellar tissues of different treated groups (H&E, Scale bar; x 10: 50 μm & x 40: 20 μm). Data are presented as mean± SEM. Statistical analysis was performed using Tukey's test and Kruskal-Wallis followed by Dunn's multiple comparisons (as applicable). Identical superscript letters indicate a non-significant difference (p>0.05), whereas distinct letters denote a statistically significant difference (p≤0.05). Control group. A: Normal histological structure as molecular layer (ML), Purkinje cell layer (PL), granular cell layer (GL) of grey matter (GM) and white matter (WM). B: Stellate cells (S) and basket cells (B) of the molecular layer (ML), Purkinje cells (P) and astrocytes (A) of the Purkinje layer (PL), granular cells (G) and cerebellar islands (asterisk) of the granular layer (GL). HFHS group. C: Shrunken purkinje cells (P) and most of them were completely lost leaving empty spaces (arrow), necrotic granular cells (G), dilated and congested blood vessels (BV). D: Shrunken purkinje cells (P) with dark stained nuclei and empty spaces (yellow arrow), pyknotic basket cells (B) and stellate cells (S) in molecular layer (ML), necrotic granular cells (G) in granular layer (GL), wide cerebellar islands (asterisk) and vacuoles (green arrow). LG group. I: E: Normal structure; molecular layer (ML), Purkinje cell layer (PL), granular cell layer (GL) of grey matter and white matter (WM). F: Normalstructure with intact purkinje cells (P). HG group. G: Normal structure of grey matter (GM) and white matter (WM). H: Normalintact purkinje cells (P). HFHS+LG group. I: Normal arrangement of Purkinje cells of Purkinje layer cell (PL), normal molecular (ML) and granular cell layers (GL) as well as the white matter (WM) with mild congested blood vessels (BV). J: Regain of continuous Purkinje cell layer (PL) with normal Purkinje cells (P) but few of them is still shrunken with empty spaces (arrow), normal molecular (ML) and granular cell layers (GL). HFHS +HG group. K: Normal molecular layer (ML), Purkinje cell layer (PL), granular cell layer (GL) and white matter (WM). L: Normal molecular layer (ML), Purkinje cells (P) of the Purkinje layer (PL), granular cells (G) and cerebellar islands (asterisk) of the granular layer (GL)

Table 6.

Different histopathological parameters among treated groups

C HFHS LG HG LG+ HFHS HG+ HFHS F value

I-Histopathological Scoring

A- A-Cerebrum:

1-Neuronal degeneration and necrosis 0.00±0a 4.333±0.333b 0.333±0.333a 0.00±0a 1.00±0.578c 0.00±0a 94.14
2-Perineural space 0.333±0.333a 4.666±0.333b 0.333±0.333a 0.333±0.333a 1.666±0.333c 0.333±0.333a 82.4
3-Neurophagia 0.00±0a 3.666±0.333b 0.00±0a 0.00±0a 0.333±0.333a 0.00±0a 58.9
4-Neuropil vacuolization 0.00±0a 5.0±0b 0.00±0a 0.00±0a 2.0±0.578c 0.00±0a 112.7
5-Inflamatory cell infiltrations 0.00±0a 4.666±0.333b 0.00±0a 0.00±0a 0.333±0.333a 0.00±0a 94.96
6-Hemorrhagic areas 0.00±0a 3.333±0.333b 0.00±0a 0.00±0a 0.00±0a 0.00±0a 50.4
7-Vascular congestion 0.333±0.333a 4.666±0.333b 0.333±0.333a 0.333±0.333a 1.666±0.333c 0.333±0.333a 82.14
8- Perivascular space 0.333±0.333a 4.666±0.333b 0.333±0.333a 0.333±0.333a 1.0±0.578a 0.666±0.333a 78.9

B- Cerebellum:

1-Change of shape of Purkinje cells

0.00±0a 5.00±0b 0.00±0a 0.00±0a 1.33±0.333c 0.00±0a 108.60
2-Disappearance of Purkinje cells 0.00±0a 4.00±0.578b 0.00±0a 0.00±0a 1.24±0.578c 0.00±0a 70.06
3-Degenerated neurons 0.00±0a 4.66±0.333b 0.00±0a 0.00±0a 1.43±0.333c 0.00±0a 95.02
4-Vascular congestion 0.333±0.333a 4.33±0.664b 0.333±0.333a 0.333±0.333a 1.63±0.333c 0.333±0.333a 70.33

II-Histochemical examination

1- T.B. stain

A- A- Cerebrum 0.00±0a 4.66±0.333b 0.00±0a 0.00±0a 1.00±0.578c 0.333±0.333a 91.03
B- Cerebellum 0.00±0a 4.33±0.667b 0.00±0a 0.00±0a 1.43±0.333c 0.00±0a 82.62
2- C.R. stain
A- Cerebrum 0.00±0a 4.66±0.333b 0.00±0a 0.00±0a 0.666±0.667a 0.333±0.333a 93.13
B- Cerebellum 0.00±0a 4.0±1b 0.00±0a 0.00±0a 1.0±0.578a 0.666±0.333a 65.37

III-Immunohistochemistry analysis

1- GFAP

A- Cerebrum 2.66±0.878a 24±2.08b 3.66±0.878a 3.66±0.878a 10.66±0.878c 3.66±0.878a 1881
B- Cerebellum 2.66±1.2a 22±5.29b 2.66±0.878a 3.66±0.878a 4.75±1.2a,c 2.66±0.878a 1597
2- iNOS
A- Cerebrum 0.333±0.333a 15±2.89b 0.333±0.333a 0.333±0.333a 1.66±0.878c 0.666±0.890a 933.5
B- Cerebellum 0.00±0a 14.33±3.84b 0.333±0.333a 0.00±0a 1.66±0.333c 0.333±0.333a 836.7
Fig. 5.

Fig. 5

Effect of 6-Gingerol on Microscopic examination of cerebral and cerebellar tissues of different treated groups identified by deep blue stained Nissl's granules (arrows) by Toluidine blue stain (A-L) and deep red positive reaction (arrows) by Congo red stain (M-X) (Scale bar; x 40: 20 μm). Data are presented as mean ± SEM. Statistical analysis was performed using Tukey's test and Kruskal-Wallis followed by Dunn's multiple comparisons (as applicable). Identical superscript letters indicate a non-significant difference (p>0.05), whereas distinct letters denote a statistically significant difference (p≤0.05). Toluidine blue stain - Cerebrum: A: Intact normal stained neurons with marked basophilic Nissl’s granules (N). B: Necrotic neurons with less Nissl's granules (N) and perineural space.C: Normal staining intensity. D: Nearly normal structure. E: Normal staining neurons (N) and some of them were degenerated with less Nissl's granules. F: Normal staining neurons with visible Nissl's granules (N). Toluidine blue stain - Cerebellum: G: normal intact Purkinje cells with a central vesicular nucleus and visible Nissl's granules (P). H: Necrotic Purkinje cells with less Nissl's granules. I: Nearly normal Purkinje cells. J: Normal staining intensity. K: Normal Purkinje cells with Nissl's granules and some of them were degenerated. L: Normal Purkinje cells with visible Nissl's granules (P). Congo red stain - Cerebrum: M: Negative reaction for stain and intact neurons (N) within normal neuropil (NP). N: Deeply stained amyloid deposits in degenerated neurons (N) and neuropil (NP). O: Normal stained neurons (N). P: Normal neurons (N). Q: Mild deposition of amyloids in some neurons and normal neuropil. R: normal staining neurons (N) and neuropil. Congo red stain - Cerebellum: S: Normal stained Purkinje cells (P).T: Deeply stained degenerated Purkinje cells (P). U: Normal stained Purkinje cells (P).V: Normal Purkinje cells (P).W: Mild positive reaction of stain of some Purkinje cells (P). X: Normal stained Purkinje cells (P)

Fig. 6.

Fig. 6

Effect of 6-Gingerol on Microscopic examination of cerebral and cerebellar tissues of different treated groups identified by brown color of immunostained cells by GFAP (A-L) and iNOS (M-X) (arrows) (GFAP and iNOS immunohistochemical staining, Scale bar; x 40: 20 μm). Data are presented as mean ± SEM. Statistical analysis was performed using Tukey's test and Kruskal-Wallis followed by Dunn's multiple comparisons. Identical letters indicate a non-significant difference, whereas distinct letters denote a significant difference at p ≤ 0.05. GFAP - Cerebrum: A: Normal weak positive immunoreactivity for GFAP of few astrocytes. B: Strong positive immunostained cells with several long thick branched processes. C: Weakpositive reaction. D: Mild positive immunoreactivity. E: Reduced immuno-staining intensity of cells for GFAP. F: Mild reaction of some cells. GFAP - Cerebellum: G: Weak positive GFAP immunoreactive cells scattered in the Purkinje cell layer and the granular layer. H: Intense positive immune expression of astrocytes for GFAP in all layers. I: WeakGFAP staining intensity. J: Weak positive immunoreaction. K: Moderate immune-staining cells. L: Weak positive cells for GFAP. iNOS - Cerebrum: M: Minimal expression of iNOS reaction tissues. N: Strong positive immune-reactive cells. O:Faintpositive reaction. P: Weak iNOS expression. Q: Moderate reaction of cells. R: Weak immune-staining cells. iNOS - Cerebellum: S: Negative immunoreactivity of the cells. T: Intensive positive immune expression for iNOS. U: Weak positive reaction. V: Weak positive immunoreactive cells. W: Moderate immune-staining. X: Weak immune-reaction.

Discussion

The rising prevalence of obesity and overweight is partly attributed to hypercaloric, palatable diets, which promote excessive weight gain by storing unused calories as adipose tissue. Studies indicate that high-fat, high-sugar diets exacerbate body weight gain (Dourmashkin et al. 2005; Martire et al. 2015). Consistent with prior research (Ginsberg 2006), our study observed altered serum lipid profiles (T-Chol, TG, HDL-C, LDL-C) in HFHS-fed rats. Hypercaloric diets induce postprandial hypertriglyceridemia, hyperglycemia, and elevated free fatty acids, contributing to oxidative stress in obesity models (Feillet-Coudray et al. 2019; Essa et al. 2025).

Leptin, a regulator of metabolism, is elevated in MetS (Ghadge and Khaire 2019). In our study, HFHS-fed rats exhibited increased leptin levels compared to controls, which were dose-dependently reduced by 6-gingerol. Similar findings confirm that 6-gingerol and ginger lower serum leptin in high-fat diet models (Saravanan et al. 2014).

6-Gingerol also improved insulin sensitivity, evidenced by reduced HOMA-IR and fasting blood glucose, likely via adipocytokine regulation. Proper insulin function is crucial for glucose and cholesterol homeostasis (Pihlajamäki et al. 2004). Our findings showed that HFHS-fed rats displayed dyslipidemia (elevated TC, TG; reduced HDL-C), which 6-gingerol attenuated dose-dependently. Additionally, 6-gingerol reduced body weight, aligning with studies linking adipocytokines (leptin, vaspin) to glucose metabolism (Taheri et al. 2020). Our results suggest that 6-gingerol’s hypoglycemic and hypolipidemic effects are partly mediated by leptin modulation.

Reduced caloric intake and body weight in 6-gingerol-treated rats may stem from suppressed appetite, consistent with findings in STZ-induced diabetic rats (Samad et al. 2017). This effect could involve enhanced GLP-1-mediated insulin secretion and skeletal muscle glucose uptake.

In this study, the administration of the HFHS diet increased oxidative stress and pro-inflammatory cytokines (MDA, PC, NO, IL-6, TNF-α) while reducing GPx and GSH in brain tissues (cerebrum, cerebellum). Crucially, the high metabolic burden of the HFHS diet resulted in pronounced oxidative damage in both the cerebrum (central to affective behavior) and the cerebellum (a highly metabolically active region). 6-Gingerol, especially at high dose, significantly reversed these effects. Similar anti-inflammatory effects were observed in diabetic and non-alcoholic steatohepatitis rat models (Almatroodi et al. 2021; Essa et al. 2026). Reduced adiponectin and elevated IL-6 in diabetic patients further support 6-gingerol’s role in mitigating inflammation via metabolic and leptin regulation.

Depression is strongly linked to metabolic disorders like obesity and diabetes (Euesden et al. 2017). MetS, characterized by obesity, insulin resistance, and dyslipidemia (Martins et al. 2019), induced neurotransmitter disturbances and depression-like behaviors in our study, which 6-gingerol ameliorated dose-dependently. Obesity and depression share a bidirectional relationship. Metabolically unhealthy obesity (e.g., with dyslipidemia or insulin resistance) elevates depression risk (Milaneschi et al. 2019), likely via neuroimmune activation (Gregor and Hotamisligil 2011). Elevated IL-6 and CRP in depression (McIntyre et al. 2007) and hypothalamic-pituitary-adrenal axis dysregulation (Southwick et al. 2005) further implicate inflammation in depressive pathophysiology. Chronic glucocorticoid excess impairs glucose uptake, promoting fat accumulation and insulin resistance, which may damage neurons and alter mood (McIntyre et al. 2007).

Severe depression is linked to neurodegenerative processes driven by chronic inflammation, wherein proinflammatory cytokines disrupt critical neurochemical pathways. These cytokines impair monoamine synthesis—specifically serotonin and dopamine—by downregulating tetrahydrobiopterin (BH4), a vital cofactor for tryptophan hydroxylase and tyrosine hydroxylase (Vancassel et al. 2018). Reactive oxygen and nitrogen species further exacerbate this disruption, suppressing norepinephrine synthesis and altering neurotransmitter balance.

Concurrently, chronic inflammation compromises neuroplasticity by interfering with neurotrophic factors such as brain-derived neurotrophic factor Brain-Derived Neurotrophic Factor (BDNF). The resulting damage to nerve cell membranes and reduced repair of dendrites and axons contribute to synaptic dysfunction and neurodegeneration. Moreover, inflammatory cytokines dysregulate dopamine signaling in reward circuits, manifesting as core depressive symptoms—anhedonia, fatigue, and psychomotor retardation (Felger and Lotrich 2013a, b).

Our comprehensive neurochemical analysis provides a mechanistic basis for the depressive-like behaviors observed in HFHS-fed rats by showing severe regional dysregulation. The observed reduction in cerebral serotonin and dopamine levels directly correlates with the core symptoms of depression, including anhedonia, psychomotor retardation, and despair, as evidenced by increased immobility in the FST and TST. The serotonergic system, crucial for mood regulation, is particularly vulnerable to diet-induced inflammation and oxidative stress, which can suppress the synthesis of key monoamines (Felger and Lotrich 2013a, b). Furthermore, the significant elevation in AChE activity in the cerebrum suggests heightened cholinergic signaling, which has been implicated in negative feedback on dopamine release and is associated with behavioral despair (Mineur et al. 2013; Miret et al. 2013).

Notably, parallel dysregulation was found in the cerebellum, a region increasingly recognized for its role in affective processing. The disruption of GABAergic tone and neurotrophic support (BDNF) in this region likely contributes to the emotional and cognitive inflexibility characteristic of depressive states (Laricchiuta et al. 2018).

Ginger and its active constituents can influence central nervous system 5-HT metabolism and function through various mechanisms, such as enhancing its synthesis, reducing its degradation or release, or blocking its receptors (Bano et al. 2021) demonstrated that ginger extract exhibits anti-anxiety effects in anxious behavior models, potentially due to increased serotonin synthesis and altered tryptophan metabolism and distribution. A decrease in anxiety may stem from ginger’s impact on neurotransmitters like 5-hydroxytryptamine (5-HT) and GABA. According to Perveen et al. (2009), ginger elevates 5-HT levels, thereby reducing anxiety.

It has been indicated that anxiety and depressive disorders, rather than being distinct, share common symptoms and pathogenic mechanisms. In the current study, the forced swimming test and tail suspension test revealed depressive behavior in rats fed a high-fat, high-sucrose diet. Co-administration of 6-gingerol increased swimming time and reduced immobility time in both FST and TST, suggesting antidepressant-like activity of this antioxidant. Monoamine neurotransmitters like serotonin and dopamine are crucial in mediating depressive behaviors. It is well-established that swim/immobility behaviors influence serotonergic signaling in the brain, leading to increased synaptic transmission that ultimately alters responses from immobility to swimming and climbing in the FST.

The efficacy of 6-gingerol stems from its ability to resolve the upstream drivers of this widespread neurochemical dysfunction. the restoration of cerebral and cerebellular BDNF by 6-gingerol is of critical importance, as this neurotrophin supports synaptic plasticity, neuronal survival, and the functional integrity of circuits governing mood and reward. The concomitant reduction in GFAP and iNOS indicates that 6-gingerol’s primary action may be the suppression of neuroinflammation and oxidative stress, which are upstream drivers of this widespread neurochemical dysfunction (Duman and Monteggia 2006). By quelling this central inflammatory milieu, 6-gingerol creates a permissive environment for the restoration of monoaminergic, cholinergic, and neurotrophic systems, thereby reversing the behavioral phenotype of depression (Zhang et al. 2018).

6-gingerol, isolated from ginger rhizome oil, has been shown to affect neurotransmission in snails and possess neuroprotective effects in rodents (Shen et al. 2024) demonstrated that gingerol-enriched ginger (GEG) supplementation improved anxio-depressive behaviors in rats with diabetic neuropathy. This indicates that 6-gingerol and related compounds can influence mood, even in the presence of metabolic complications. The study also reported that GEG reduced neuroinflammation in these rats.

In the present work, there was hypercellularity and necro-degenerative alterations of neurons with meninges discontinuity and separation in the cerebral and cerebellar tissues in HFHS diet-treated group when compared with the control group. This was in accordance with the previous study of (Samad et al. 2023). The neuronal changes were leading to the formation of reactive oxygen species (ROS) and nitrogen species with defects of antioxidant defense system which caused DNA damage and neuronal cell death (Oruc and Uner 2002).

Our results aligned with the observation of (Zetterberg et al. 2010), who observed the presence of abnormal neurons with neurofibrillary tangles, deposition of amyloid proteins (amyloid-beta, Aβ) with inflammatory cell infiltrations in rats fed on HFHS which were characteristic for Alzheimer’s disease (AD). The later is a neurodegenerative disease with progressive degradation of learning, memory impairment, and cognition decline symptom (Niu et al. 2016). Additionally, (Takeda et al. 2013) discussed the role of inflammatory factors as a results of diet as they released to the blood plasma and enter the brain leading to brain inflammation and non-cognitive symptoms, such as depression, agitation, and psychosis.

Astrocytosis, gliosis and inflammatory cell infiltrations in the current work were parallel to the results of (Zedan 2023) who reported that the astrocytes caused inactivating ROS. While glial cells had a metabolic support to neurons, and offering protection against oxidative stress (Baydas et al. 2003). Inflammatory factors triggered by hyperglycemia activated glial cells, which in turn release additional pro-inflammatory mediators and progression of neurodegenerative diseases. Moreover, activated microglial cells produced amyloid precursor protein (APP), which gave rise to neurotoxic amyloid proteins implicated in these conditions (Takeda et al. 2013).

Intercellular vacuolations were observed in the examined tissues, consistent with the findings of (Zedan 2023), who attributed them to the lipid peroxidation and damage to both the cell and organelle membranes.

The histopathological scoring of observable lesions, with or without treatment showing notable improvement in tissue integrity and reduced lesion severity, was consistent with the findings reported by (Esrefoglu et al., 2014).

Toluidine blue stain is commonly used to evaluate neuronal integrity and visualize Nissl granules in the brain tissue. In the present study, HFHS diet-treated groups showed marked neuronal damage with less Nissl granules distribution that indicating neurodegeneration which consistent with (Haq and AlAmro 2019). Congo red-stained tissue sections revealed prominent amyloid deposits in the tissues of the HFHS diet-treated group. Similar findings were reported by (Abdel-Salam et al. 2015), who observed comparable amyloid accumulation as a result of neurodegeneration induced by AlCl₃ toxicity.

In the current study, the HFHS diet-treated group exhibited a significant increase in GFAP-positive astrocytes, likely resulting from enhanced astrocyte proliferation as a results of oxidative stress, in line with the findings of Mota et al. (2023a, b). On the other hand, iNOS was more highly expressed in the brain tissues of HFHS diet-treated group compared with control group. This finding was align with the elevated iNOS levels reported in sodium nitrite-treated rats by (Özen et al. 2014).

This study demonstrated that examination of tissue sections from the HFHS diet-treated group receiving 6-gingerol showed a noticeable reversal of most HFHS diet-induced histopathological changes, particularly in the high dose-treated group. Our findings were mimic with another study by (Hussein et al. 2017). Ginger had been documented to alleviate hyperglycemia and hyperlipidemia and was known for anti-inflammatory, antioxidant, antimicrobial, and anticancer effects as well as its ability to scavenge free radicals. In addition to, ginger exhibits anti-amyloidogenic properties and can inhibit astrocyte over activation, both of which are key factors in the development of neurodegenerative diseases so ginger may help alleviate cognitive impairment symptoms (Arcusa et al. 2022). Also, there was a notable improvement in neuronal morphology and restoration of Nissl granules, as evidenced by enhanced toluidine blue staining which was resemble to results of Haq and AlAmro (2019). CR staining showed a noticeable decrease in amyloid deposition in these groups which was in line with (Bassiony et al. 2015).

This study demonstrated the reduction of GFAP expression that confirmed by the previous reports of (Essawy et al. 2023), who showed that melatonin exerted protective effects against tartrazine-induced neurotoxicity in rats. Furthermore, 6-gingerol reduced the expression of iNOS, indicating its potential anti-inflammatory effect. Similar findings were reported by (El-Akabawy and El-Kholy 2014), who observed a significant decrease in iNOS levels in diabetic rats treated with ginger. limitations of the work: despite demonstrating a robust neuroprotective effect, this study has limitations. It was conducted exclusively on male rats, meaning the findings may not be generalizable to females due to known sex differences in metabolic and affective regulation. Furthermore, the research is constrained by its rodent model design, limiting the direct translational applicability of the dose-response and long-term efficacy to human clinical settings.

Conclusion

This study demonstrates that 6-gingerol, particularly at the higher dose (200 mg/kg), significantly counteracted HFHS diet-induced metabolic and neurobehavioral dysfunction. Both doses (100 and 200 mg/kg) improved lipid profiles, insulin sensitivity, and oxidative/inflammatory markers, but the higher dose showed superior efficacy in attenuating depressive-like behaviors (reduced immobility in FST/TST) and restoring neurotransmitter balance (↑ serotonin, dopamine, GABA; ↓ AChE). Moreover, BDNF showed improvements associated with dose-dependent reductions in neuroinflammation (GFAP, iNOS) and neurodegeneration (amyloid deposits, neuronal vacuolation). These findings underscore 6-gingerol’s potential as a neuroprotective agent against diet-induced metabolic syndrome and depression, with effects mediated through antioxidant, anti-inflammatory, and neurotransmitters modulation.

Acknowledgements

Not applicable.

Abbreviations

AChE

Acetylcholinesterase

AIN-93

American Institute of Nutrition 1993 diet formulation

ARC-ARRI

Agriculture Research Centre - Animal Health Research Institute

BDNF

Brain-Derived Neurotrophic Factor

BMI

Body Mass Index

C.R.

Congo red

DAB

Diaminobenzidine

DNP

Diabetic Neuropathic Pain

ELISA

Enzyme-Linked Immunosorbent Assay

FST

Forced Swim Test

GABA

Gamma-Aminobutyric Acid

GFAP

Glial Fibrillary Acidic Protein

GPx

Glutathione Peroxidase

GSH

Reduced Glutathione

H&E

Hematoxylin and Eosin

HDL-C

High-Density Lipoprotein Cholesterol

HFHS

High-Fat High-Sucrose diet

HFHSD

High-Fat High-Sucrose Diet

HFD

High-Fat Diet

HOMA-IR

Homeostatic Model Assessment for Insulin Resistance

hs-CRP

High-Sensitivity C-Reactive Protein

Inos

Inducible Nitric Oxide Synthase

IL-6

Interleukin-6

LDL-C

Low-Density Lipoprotein Cholesterol

MDA

Malondialdehyde

MDD

Major Depressive Disorder

NO

Nitric Oxide

PC

Protein Carbonyl

ROS

Reactive Oxygen Species

STZ

Streptozotocin

T.B.

Toluidine blue

TC

Total Cholesterol

TG

Triglycerides

TNF-α

Tumor Necrosis Factor-alpha

TST

Tail Suspension Test

T2DM

Type 2 Diabetes Mellitus

VLDL-C

Very Low-Density Lipoprotein Cholesterol

WD

Western Diet

Author contributions

Hend A. Essa: Proposed the main research point and designed the work, conducted the animal experiment, performed biochemical analyses, and carried out their statistical evaluation. Write the main draft, and final version of the manuscript. Edit the manuscript.Abeer E. El-Metwally: Responsible for the methods, results, and statistical analysis of histopathological and immunohistochemical evaluations. Contributing to writing the manuscript.All authors contributed to writing and reviewing the manuscript.

Funding

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). Not applicable.

Data availability

The authors confirm that the data supporting the findings of this study are available within the article.

Declarations

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. Abdel-Salam OME, Hamdy SM, Seadawy SAM, Galal AF, Abouelfadl DM, Atrees SS (2015) Effect of piracetam, vincamine, vinpocetine, and donepezil on oxidative stress and neurodegeneration induced by aluminum chloride in rats. Comp Clin Pathol 25(2):305–318 [Google Scholar]
  2. Aboismaiel MG, Amin MN, Eissa LA (2024) Renoprotective effect of a novel combination of 6-gingerol and metformin in high-fat diet/streptozotocin-induced diabetic nephropathy in rats via targeting miRNA-146a, miRNA-223, TLR4/TRAF6/NLRP3 inflammasome pathway and HIF-1α. Biol Res 57(1):47. 10.1186/s40659-024-00514-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Almatroodi SA, Abdullah M, Alnuqaydan AM, Babiker AY, Almogbel MA, Khan AA et al (2021) 6-Gingerol, a bioactive compound of ginger, attenuates renal damage in streptozotocin-induced diabetic rats by regulating oxidative stress and inflammation. Pharmaceutics 13(3):317. 10.3390/pharmaceutics13030317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Arcusa R, Villaño D, Marhuenda J, Cano M, Cerdà B, Zafrilla P (2022) Potential role of ginger (Zingiber officinale Roscoe) in the prevention of neurodegenerative diseases. Front Nutr 9:809621 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bano S, Sharif H, Badawy AA (2021) Effects of oral administration of an aqueous ginger extract on anxiety behavior and tryptophan and serotonin metabolism in the rat. Asian J Med Sci 12(6):38–43. 10.3126/ajms.v12i6.34480 [Google Scholar]
  6. Bassiony HS, Zickri MB, Metwally HG, Elsherif HA, Alghandour SM, Sakr W (2015) Comparative histological study on the therapeutic effect of green tea and stem cells in Alzheimer’s disease complicating experimentally induced diabetes. Int J Stem Cells 8(2):181–190 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Baydas G, Reiter RJ, Yasar A, Tuzcu M, Akdemir I, Nedzvetskii VS (2003) Melatonin reduced glial reactivity in the hippocampus, cortex, and cerebellum of streptozotocin-induced diabetic rats. Free Radic Biol Med 35(7):797–804 [DOI] [PubMed] [Google Scholar]
  8. Bilgiç S, Özgöçmen M, Ozer MK (2023) Thymoquinone ameliorates amikacin induced oxidative damage in rat brain tissue. Biotech Histochem 98(1):38–45. 10.1080/10520295.2022.2118847 [DOI] [PubMed] [Google Scholar]
  9. Buddenberg TE, Komorowski M, Ruocco LA, Silva MA (2009) Attenuating effects of testosterone on depressive-like behavior in the forced swim test in healthy male rats. Brain Res Bull 79(3–4):182–186. 10.1016/j.brainresbull.2009.02.008 [DOI] [PubMed] [Google Scholar]
  10. Burstein MSHR, Scholnick HR, Morfin R (1970) Rapid method for the isolation of lipoproteins from human serum by precipitation with polyanions. J Lipid Res 11(6):583–595‏ [PubMed] [Google Scholar]
  11. Burtscher J, Niedermeier M, Hüfner K et al (2022) The interplay of hypoxic and mental stress: implications for anxiety and depressive disorders. Neurosci Biobehav Rev 138:104718 [DOI] [PubMed] [Google Scholar]
  12. Chapman DG, Castillo R, Campbell JA (1959) Determination of citrulline, allantoin and arginine. Can J Biochem Physiol 37(5):679–686. 10.1139/o59-076 [PubMed] [Google Scholar]
  13. Crowley JJ, Jones MD, O’Leary OF, Lucki I (2004) Automated tests for measuring the effects of antidepressants in mice. Pharmacol Biochem Behav 78(2):269–274. 10.1016/j.pbb.2004.03.023 [DOI] [PubMed] [Google Scholar]
  14. De Paula GC, Simões RF, Garcia-Serrano AM, Duarte JM (2024) High-fat and high-sucrose diet-induced hypothalamic inflammation shows sex specific features in mice. Neurochem Res 49(12):3356–3366. 10.1007/s11064-023-04068-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Detke MJ, Rickels M, Lucki I (1995) Active behaviors in the rat forced swimming test differentially produced by serotonergic and noradrenergic antidepressants. Psychopharmacology 121(1):66–72. 10.1007/BF02245592 [DOI] [PubMed] [Google Scholar]
  16. Dourmashkin JT, Chang GQ, Gayles EC, Hill JO, Fried SK, Julien C, Leibowitz SF (2005) Different forms of obesity as a function of diet composition. Int J Obes 29(11):1368–1378 [DOI] [PubMed]
  17. Duman RS, Monteggia LM (2006) A neurotrophic model for stress-related mood disorders. Biol Psychiatry 59(12):1116–1127 [DOI] [PubMed] [Google Scholar]
  18. El-Akabawy G, El-Kholy W (2014) Neuroprotective effect of ginger in the brain of streptozotocin-induced diabetic rats. Ann Anat 196(2–3):119–128 [DOI] [PubMed] [Google Scholar]
  19. Erba O, Erdogan MA, Khalilnezhad A, Solmaz V, Gürkan FT et al (2018) Evaluation of long-term effects of artificial sweeteners on rat brain: A biochemical, behavioral, and histological study. J Biochem Mol Toxicol 32:6e22053.10.1002/jbt.22053 [DOI] [PubMed]
  20. Esrefoglu M, Bak AA et al (2014) Melatonin is effective in reducing stress-induced organ damage in Wistar albino rats. Turk J Biol 38(4):493–501 [Google Scholar]
  21. Essa HA, Hashim AF, Abdel-Aziz NN, Mohamed FEZS, Ali AM (2025) Olive and linseed oil blend-based nanoemulsions fortified with ginger extract nutraceutical: mitigating liver fibrosis induced by carbon tetrachloride by regulating oxidative stress and TGF-β/MMP9 signaling pathway in rats. Mol Nutr Food Res 69(1):e202400497. 10.1002/mnfr.202400497 [DOI] [PubMed] [Google Scholar]
  22. Essa HA, Sayed WME, Fotouh A (2026) Germinated Fava bean (Vicia Faba L.) extract attenuates acrylamide-induced neuroinflammation in rats via antioxidant, anti-inflammatory, and neurotransmitter modulation. Food Prod Process Nutr 8(1):2‏ 10.1186/s43014-025-00350-z
  23. Essawy AE, Mohamed AI, Ali RG, Ali AM, Abdou HM (2023) Analysis of melatonin modulating effects against tartrazine induced neurotoxicity in male rats: biochemical, pathological and immunohistochemical markers. Neurochem Res 48(1):131–141 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Euesden J, Danese A, Lewis CM, Maughan B (2017) A bidirectional relationship between depression and the autoimmune disorders: new perspectives from the National Child Development Study. PLoS One 12(3):e0173015. 10.1371/journal.pone.0173015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Feillet-Coudray C, Fouret G, Vigor C, Bonafos B, Jover B et al (2019) Long-term measures of dyslipidemia, inflammation, and oxidative stress in rats fed a high-fat/high-sucrose diet. Lipids 54(1):81–97. 10.1002/lipd.12126 [DOI] [PubMed] [Google Scholar]
  26. Felger JC, Lotrich FE (2013) Inflammatory cytokines in depression: neurobiological mechanisms and therapeutic implications. Neuroscience 246:199–229. 10.1016/j.neuroscience.2013.04.060 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Gandhi GR, Mohana T, Athesh K, Hillary VE, Vasconcelos AB, de Franca MN et al (2023) Anti-inflammatory natural products modulate interleukins and their related signaling markers in inflammatory bowel disease: A systematic review. J Pharm Anal 13(12):1408–1428 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Garber JC, Barbee RW, Bielitzki JT et al (2011) Guide for the care and use of laboratory animals, 8th edn. National Academies
  29. Ghadge AA, Khaire AA (2019) Leptin as a predictive marker for metabolic syndrome. Cytokine 121:154735. 10.1016/j.cyto.2019.154735 [DOI] [PubMed] [Google Scholar]
  30. Ginsberg HN (2006) Efficacy and mechanisms of action of statins in the treatment of diabetic dyslipidemia. J Clin Endocrinol Metab 91(2):383–392 [DOI] [PubMed]
  31. Gregor MF, Hotamisligil GS (2011) Inflammatory mechanisms in obesity. Annu Rev Immunol 29:415–445. 10.1146/annurev-immunol-031210-101322 [DOI] [PubMed] [Google Scholar]
  32. Gunawan S, Munika E, Wulandari ET, Ferdinal F, Purwaningsih EH, Wuyung PE et al (2023) 6-gingerol ameliorates weight gain and insulin resistance in metabolic syndrome rats by regulating adipocytokines. Saudi Pharm J 3351–358. 10.1016/j.jsps.2023.01.006 [DOI] [PMC free article] [PubMed]
  33. Haq SH, AlAmro AA (2019) Neuroprotective effect of Quercetin in murine cortical brain tissue cultures. Clin Nutr Exp 23:89–96 [Google Scholar]
  34. Hong KH, Um MY, Ahn J, Ha TY (2023) 6-gingerol ameliorates adiposity and inflammation in adipose tissue in high fat diet-induced obese mice: association with regulating of adipokines. Nutrients 15(15):3457 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Hussein UK, Hassan NY, Elhalwagy MEA, Zaki AR, Abubakr HO, Venkata KCN et al (2017) Ginger and propolis exert neuroprotective effects against monosodium glutamate-induced neurotoxicity in rats. Molecules 22(11):1928 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Jollow DJ, Mitchell JR, Zampaglione N, Gillette JR (1974) Bromobenzene-induced liver necrosis: protective role of glutathione and evidence for 3,4-bromobenzene oxide as the hepatotoxic metabolite. Pharmacology 11(3):151–169. 10.1159/000136485 [DOI] [PubMed] [Google Scholar]
  37. Laricchiuta D, Andolina D, Angelucci F, Gelfo F, Berretta E, Puglisi-Allegra S, Petrosini L (2018) Cerebellar BDNF promotes exploration and seeking for novelty. Int J Neuropsychopharmacol 21(5):485–498 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Ledreux A, Wang X, Schultzberg M, Granholm AC, Freeman LR (2016) Detrimental effects of a high fat/high cholesterol diet on memory and hippocampal markers in aged rats. Behav Brain Res 312:294–304 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Levine RL, Garland D, Oliver CN (1990) Determination of carbonyl content in oxidatively modified proteins. Methods Enzymol 186:464–478. 10.1016/0076-6879(90)86141-H [DOI] [PubMed] [Google Scholar]
  40. Lu B, Nagappan G, Lu Y (2014) BDNF and synaptic plasticity, cognitive function, and dysfunction. Handb Exp Pharmacol 220:223–250 [DOI] [PubMed] [Google Scholar]
  41. Martinowich K, Manji H, Lu B (2007) New insights into BDNF function in depression and anxiety. Nat Neurosci 10(9):1089–1093 [DOI] [PubMed] [Google Scholar]
  42. Martins LB, Monteze NM, Calarge C, Ferreira AVM, Teixeira AL (2019) Pathways linking obesity to neuropsychiatric disorders. Nutrition 66:16–21. 10.1016/j.nut.2019.03.017 [DOI] [PubMed] [Google Scholar]
  43. Martire SI, Maniam J, South T, Holmes N, Westbrook RF, Morris MJ (2015) Extended exposure to a palatable cafeteria diet alters gene expression in brain regions implicated in reward, and withdrawal from this diet alters gene expression in brain regions associated with stress. Behav Brain Res 278:559–569. 10.1016/j.bbr.2014.10.030 [DOI] [PubMed] [Google Scholar]
  44. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC (1985) Homeostasis model assessment: Insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28(7):412–419. 10.1007/BF00280883 [DOI] [PubMed] [Google Scholar]
  45. McIntyre RS, Soczynska JK, Konarski JZ, Woldeyohannes HO, Law CW, Miranda A, ... & Kennedy SH (2007) Should depressive syndromes be reclassified as “metabolic syndrome type II”?. Ann Clin Psychiatry 19(4):257–264 [DOI] [PubMed]
  46. Megraw RE, Dunn DE, Biggs HG (1979) Manual and continuous-flow colorimetry of triacylglycerols by a fully enzymatic method. Clin Chem 25(2):273–278 [PubMed] [Google Scholar]
  47. Milaneschi Y, Simmons WK, van Rossum EFC, Penninx BWJH (2019) Depression and obesity: evidence of shared biological mechanisms. Mol Psychiatry 24(1):18–33. 10.1038/s41380-018-0017-5 [DOI] [PubMed] [Google Scholar]
  48. Mineur YS, Obayemi A, Wigestrand MB, Fote GM, Calarco CA, Li AM, Picciotto MR (2013) Cholinergic signaling in the hippocampus regulates social stress resilience and anxiety-and depression-like behavior. Proc Natl Acad Sci 110(9):3573–3578 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Miret M, Ayuso-Mateos JL, Sanchez-Moreno J, Vieta E (2013) Depressive disorders and suicide: epidemiology, risk factors, and burden. Neurosci Biobehav Rev 37(10 Pt 1):2372–2374 [DOI] [PubMed] [Google Scholar]
  50. Mohr AA, Garcia-Serrano AM, Vieira JP, Philippe J, Cherix A, Lizarbe B et al (2021) A glucose-stimulated BOLD fMRI study of hypothalamic dysfunction in mice fed a high-fat and high-sucrose diet. J Cereb Blood Flow Metabolism 41(7):1734–1743 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Montgomery H, Dymock J (1961) The determination of nitrite in water: colorimetric method of nitric oxide assay. Analyst 86(1023):414–416. 10.1039/AN9618600414 [Google Scholar]
  52. Mota B, Ramos M, Marques SI, Silva A, Pereira PA, Madeira MD et al (2023a) Effects of high-fat and high-fat high-sugar diets in the anxiety, learning and memory, and in the hippocampus neurogenesis and neuroinflammation of aged rats. Nutrients 15(6):1370 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Mota B, Ramos M, Marques SI, Silva A, Pereira PA, Madeira MD et al (2023) Effects of high-fat and high-fat high-sugar diets in the anxiety, learning and memory, and in the hippocampus neurogenesis and neuroinflammation of aged rats. Nutrients 15(6):1370. 10.3390/nu15061370 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Nair V, Turner GA (1984) The thiobarbituric acid test for lipid peroxidation: structure of the adduct with malondialdehyde. Lipids 19(10):804–805. 10.1007/BF02534475 [Google Scholar]
  55. Nallagouni CSR, Reddy KP (2017) Aluminum and fluoride impacts cortex and hippocampus structure in rats: protective role of resveratrol. Int J Appl Biol Pharm Technol 8(1):1–11 [Google Scholar]
  56. Nguyen JC, Killcross AS, Jenkins TA (2014) Obesity and cognitive decline: role of inflammation and vascular changes. Front Neurosci 8:375 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Niu L, Han DW, Xu RL, Han B, Zhou X, Wu HW et al (2016) High-sugar high-fat diet induced metabolic syndrome shows some symptoms of alzheimer’s disease in rats. J Nutr Health Aging 20(5):509–513 [DOI] [PubMed] [Google Scholar]
  58. Numakawa T, Odaka H, Adachi N (2018) Actions of brain-derived neurotrophic factor in the neurogenesis and neuronal function, and its involvement in the pathophysiology of brain diseases. Int J Mol Sci 19(11):3650 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Oruc EO, Uner N (2002) Marker enzyme assessment in the liver of Cyprinuscarpio (L.) exposed to 2,4-D and azinphosmethyl. J Biochem Mol Toxicol 16(4):182–188 [DOI] [PubMed] [Google Scholar]
  60. Perveen T, Haider S, Kanwal S, Shah MZ, Ali A, Haleem DJ (2009) The anxiolytic-like effects of ginger in rats may be mediated through the serotonergic system. Pharmacol Biochem Behav 92(4):570–575. 10.1016/j.pbb.2009.02.002 [Google Scholar]
  61. Pihlajamäki J, Gylling H, Miettinen TA, Laakso M (2004) Insulin resistance is associated with increased cholesterol synthesis and decreased cholesterol absorption in normoglycemic men. J Lipid Res 45(3):507–512 [DOI] [PubMed]
  62. Reeves PG, Nielsen FH, Fahey GC (1993) AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition ad hoc writing committee on the reformulation of the AIN-76A rodent diet. J Nutr 123(11):1939–1951. 10.1093/jn/123.11.1939 [DOI] [PubMed] [Google Scholar]
  63. Rotruck JT, Pope AL, Ganther HE, Swanson AB, Hafeman DG, Hoekstra WG (1973) Selenium: biochemical role as a component of glutathione peroxidase. Science 179(4073):588–590. 10.1126/science.179.4073.588 [DOI] [PubMed] [Google Scholar]
  64. Samad MB, Mohsin MNAB, Razu BA, Hossain MT, Mahzabeen S, Unnoor N et al (2017) [6]-Gingerol, from Zingiber officinale, potentiates GLP-1 mediated glucose-stimulated insulin secretion pathway in pancreatic β-cells and increases RAB8/RAB10-regulated membrane presentation of GLUT4 transporters in skeletal muscle to improve hyperglycemia in Lepr < sup > db/db type 2 diabetic mice. BMC Complement Altern Med 17(1):395. 10.1186/s12906-017-1903-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Samad N, Manzoor N, Batool A, Noor A, Khaliq S, Aurangzeb S et al (2023) Protective effects of niacin following high fat rich diet: an in vivo and in silico study. Sci Rep 13:21343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Saravanan G, Ponmurugan P, Deepa MA, Senthilkumar B (2014) Anti-obesity action of gingerol: effect on lipid profile, insulin, leptin, amylase and lipase in male obese rats induced by a high-fat diet. J Sci Food Agric 94(14):2972–2977. 10.1002/jsfa.6642 [DOI] [PubMed] [Google Scholar]
  67. Sarrafan A, Ghobeh M, Yaghmaei P (2021) The effect of 6-gingerol on biochemical and histological parameters in cholesterol-induced nonalcoholic fatty liver disease in NMRI mice. Braz J Pharm Sci 57:1–15 [Google Scholar]
  68. Schriewer H, Kohnert U, Assmann G (1984) Determination of LDL cholesterol and LDL Apolipoprotein B following precipitation of VLDL in blood serum with phosphotungstic acid/MgCl₂. J Clin Chem Clin Biochem 22(1):35–40 [DOI] [PubMed] [Google Scholar]
  69. Shang C, Liu Z, Chen Z et al (2015) A parvalbumin-positive excitatory visual pathway to trigger fear responses in mice. Science 348(6242):1472–1477. 10.1126/science.aaa8694 [DOI] [PubMed] [Google Scholar]
  70. Shen CL, Wang R, Santos JM, Elmassry MM, Stephens E, Kim N et al (2024) Ginger alleviates mechanical hypersensitivity and anxio-depressive behavior in rats with diabetic neuropathy through beneficial actions on gut Microbiome composition, mitochondria, and neuroimmune cells of colon and spinal cord. Nutr Res 124:73–84. 10.1016/j.nutres.2024.03.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Shinkov A, Borissova AM, Kovatcheva R, Atanassova I, Vlahov J (2018) The effects of a high-fat, high-sucrose diet on metabolic function and cognitive performance in mice. Horm Metab Res 50(4):322–329 [Google Scholar]
  72. Skinner MK (2016) Endocrine disruptors in 2015: epigenetic transgenerational inheritance. Nat Rev Endocrinol 12(2):68–70 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Southwick SM, Vythilingam M, Charney DS (2005) The psychobiology of depression and resilience to stress: implications for prevention and treatment. Annu Rev Clin Psychol 1:255–291 [DOI] [PubMed]
  74. Suvarna SK, Layton C, Bancroft JD (2013) Bancroft’s theory and practice of histological techniques (7th ed.). Churchill Livingstone
  75. Taheri E, Hosseini S, Qorbani M, Mirmiran P (2020) Association of adipocytokines with lipid and glycemic profiles in women with normal weight obesity. BMC Endocr Disord 20(1):171. 10.1186/s12902-020-00648-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Takeda S, Sato N, Ikimura K, Nishino H, Rakugi H, Morishita R (2013) Increased blood-brain barrier vulnerability to systemic inflammation in an Alzheimer disease mouse model. Neurobiol Aging 34(9):2064–2070 [DOI] [PubMed] [Google Scholar]
  77. Trinder P (1969) Determination of blood glucose using 4-amino phenazone as oxygen acceptor. J Clin Pathol 22(2):246–249. 10.1136/jcp.22.2.246 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Vancassel S, Capuron L, Castanon N (2018) Brain kynurenine and BH4 pathways: relevance to the pathophysiology and treatment of inflammation-driven depressive symptoms. Front Neurosci 12:499. 10.3389/fnins.2018.00499 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Watson D (1960) A simple method for the determination of serum cholesterol. Clin Chim Acta 5:637–643. 10.1016/0009-8981(60)90004-6 [DOI] [PubMed] [Google Scholar]
  80. Wojsiat J, Zoltowska-Kaszub KM, Laskowska-Kaszub K, Wojda U (2018) Oxidant/antioxidant imbalance in Alzheimer’s disease: therapeutic and diagnostic prospects. Oxid Med Cell Longev 2018:6435861 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. World Health Organization (2022), January 26 Obesity and overweight. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
  82. Zedan OI (2023) Sodium nitrite induced cerebellar cortex toxicity in adult male albino rat and the possible role of Metformin (histological and immunohistochemical study). Egypt J Histol 46(1):355–367 [Google Scholar]
  83. Özen H, Kamber UB, Karaman M, Gül SC, Atakişi ID, Ozcan K et al (2014) Histopathologic, biochemical and genotoxic investigations on chronic sodium nitrite toxicity in mice. Exp Toxicol Pathol 66(8):367–375 [DOI] [PubMed] [Google Scholar]
  84. Zetterberg H, Blennow K, Hanse E (2010) Amyloid beta and APP as biomarkers for Alzheimer’s disease. Exp Gerontol 45(1):23–29 [DOI] [PubMed] [Google Scholar]
  85. Zhang F, Zhang JG, Yang W, Xu P, Xiao YL, Zhang HT (2018) 6-gingerol attenuates LPS-induced neuroinflammation and cognitive impairment partially via suppressing astrocyte overactivation. Biomed Pharmacother 107:1523–1529 [DOI] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

The authors confirm that the data supporting the findings of this study are available within the article.


Articles from Metabolic Brain Disease are provided here courtesy of Springer

RESOURCES