Golden Tomato Juice Enhances Hepatic PPAR-α Expression, Mitigates Metabolic Dysfunctions and Influences Redox Balance in a High-Fat-Diet Rat Model
Abstract
:1. Introduction
2. Materials and Methods
2.1. Tomato Seedling Cultivation and Morphological Characteristics
2.2. Process of Turning Golden Tomatoes into Juice
2.2.1. Chemical and Nutritional Properties of Golden Tomato Juice
- Energy calculation
2.2.2. Analysis of Total Polyphenols by Folin Ciocalteu Assay in GTJ
2.2.3. Identification and Quantification of 9-Oxo-10(E),12(E)-Octadecadienoic Acid in GTJ by HPLC System
- Sample preparation
- Identification and quantification of 9-oxo-10(E),12(E)-ODA by HPLC
2.3. Animals
2.3.1. Experimental Groups
2.3.2. Preparation of the Orally Administered Tomato Solutions
2.4. Experimental Design
2.4.1. Biometric Parameters and Leptin Levels
2.4.2. Histological Analysis and PPAR-α Expression by Real-Time PCR of Hepatic Tissue
2.4.3. Metabolic Assays: Glucose Tolerance and Lipid Homeostasis
2.4.4. Systemic and Hepatic Redox Homeostasis Parameters
MDA Evaluation in Hepatic Tissue
RONS Evaluation in Hepatic Tissue
2.5. Statistical Analyses
3. Results
3.1. Morphological Characteristics of Tomato Plants
3.2. Chemical and Nutritional Properties of Golden Tomatoes After Juice Processing
3.3. Fatty Acid Content “9-Oxo-10(E),12(E)-ODA” in GTJ Compared with Red and Golden Tomatoes
3.4. Parameters Assessed at T1 Time to Verify the Induction of Metabolic Syndrome
3.5. Effects of GTJ Treatment on Body Weight, Food Intake, and Leptin Levels in MetS
3.6. Effects of GT Juice in the Liver on Steatosis and PPAR-α Levels in MetS
3.7. Metabolic Effects of GT Juice in MetS: Glucose Tolerance and Lipid Profile
3.8. Effects of GT Juice on Systemic and Hepatic Redox Homeostasis in MetS
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Parameter | Equation Applied |
---|---|
% Total dry matter | Weight [(dry sample + dish) − dish] initial weight of sample × 100 |
% Total moisture | 100 − % total dry matter |
% Protein | % nitrogen × protein factor (6,25) |
% Crude Fat | weight [(cup + fat residue) − cup empty] initial sample weight × 100 |
% Carbohydrate | 100 − [(% total moisture + % ash + % protein + % crude fat + % total dietary fiber)] |
(A) | |||||||
Components | GT | GTJ | Statistical Values | ||||
Water (g/100 g) | 91.5 ± 0.3 | 94 ± 0.6 ** | p = 0.003 t = 6.455, df = 4 | ||||
Proteins (g/100 g) | 5.44 ± 0.4 | 1.31 **** ± 0.06 | p < 0.0001 t = 17.6856; df = 4 | ||||
Lipids (g/100 g) | 0.2 ± 0.02 | 0.19 ± 0.05 | n.s. | ||||
Carbohydrates (g/100 g) | 4.80 ± 0.49 | 4.08 ±0.56 | n.s. | ||||
Energy (Kcal) | 43 ± 2.0 | 23 ± 3.5 ** | p = 0.001 t = 8.593, df = 4 | ||||
(B) | |||||||
Parameters | GT | GTJ | Statistical Values | ||||
Dry matter (g/Kg−1) | 85 ± 1.4 | 158 ± 20.5 ** | p = 0.0035 t = 6.153; df = 4 | ||||
pH | 4.4 ± 0.1 | 4.2 ± 0.1 | n.s. | ||||
Brix, °Bx | 5.3 ± 0.2 | 6.6 ± 0.05 *** | p = 0.0003 t = 10.92; df = 4 | ||||
Titratable acidity (mg%) | 0.61 ± 0.01 | 0.49 ± 0.03 ** | p = 0.0028 t = 6.573; df = 4 | ||||
Total Polyphenols (mg/100 g) | 87.6 ± 13.5 | 82.5 ± 12.7 | n.s. | ||||
(C) | |||||||
Micronutrients | GT | GTJ | RDA (mg/die) | UL (mg/die) | Statistical Values | ||
Na (mg/100 g) | 90.9 ± 8.1 | 14.4 ± 4.7 *** | n.a. | 2000 * | p = 0.0001 t = 14.15, df = 4 | ||
K (mg/100 g) | 930.1 ± 7.5 | 113 ± 6.7 **** | n.a. | n.a. | p < 0.0001 t = 140.7, df = 4 | ||
Mg (mg/100 g) | 164.5 ± 10.5 | 10.8 ± 2.4 **** | 170 | 250 | p < 0.0001 t = 24.72, df = 4 | ||
Ca (mg/100 g) | 277.4 ± 9.3 | 8.8 ± 2.3 **** | 1000 | 2500 | p < 0.0001 t = 48.56, df = 4 | ||
Zn (mg/100 g) | 6.7 ± 1.5 | 0.2 ± 0.03 ** | p = 0.0017 t = 7.504, df = 4 | ||||
Fe (mg/100 g) | 37.9 ± 5.7 | 0.84 ± 0.02 *** | Woman | Man | n.a. | p = 0.0004 t = 11.26, df = 4 | |
18–10 | 10 | ||||||
Cu | 4 ± 0.5 | 0.04 ± 0.02 *** | 0.9 | 5 | p = 0.0002 t = 13.71, df = 4 | ||
Ni | 0.24 ± 0.06 | 0.007 ± 0.001 ** | p = 0.0025 t = 6.725, df = 4 | ||||
Mn | 1.7 ± 0.3 | 0.07 ± 0.04 *** | Woman 2.3 | Man 2.7 | n.a. | p = 0.0007 t = 9.328, df = 4 | |
Al | 95.2 ± 4.87 | 0.65 ± 0.03 **** | p < 0.0001 t = 33.63, df = 4 | ||||
Vit. A (β-carotene, mg/100 g) | 391 ± 1.3 | 398 ± 3.6 * | 7.5 (μg 1250 RE) | 3000 μg | p = 0.0339 t = 3.168, df = 4 | ||
Ascorbic acid, Vit. C (mg/100 g) | 17.04 ± 3.5 | 4.4 ± 2.4 ** | 1000 | n.a. | p = 0.0067 t = 5.159, df = 4 |
Samples | R.T. (Minutes) | 9-oxo-10(E),12(E)-ODA (μg/mL) | R.T. (Minutes) | 9-oxo-10(E),12(Z)-ODA (μg/mL) |
---|---|---|---|---|
RT | 8.1 | 0.76 ± 0.02 | 7.4 | 0.610 ± 0.007 |
GT | 8.1 | 1.04 ± 0.05 * | 7.4 | 1.43 ± 0.03 * |
GTJ | 8.2 | 0.22 ± 0.01 | 7.5 | 0.23 ± 0.07 |
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Di Majo, D.; Ricciardi, N.; Moncada, A.; Allegra, M.; Frinchi, M.; Di Liberto, V.; Pitonzo, R.; Rappa, F.; Saiano, F.; Vetrano, F.; et al. Golden Tomato Juice Enhances Hepatic PPAR-α Expression, Mitigates Metabolic Dysfunctions and Influences Redox Balance in a High-Fat-Diet Rat Model. Antioxidants 2024, 13, 1324. https://doi.org/10.3390/antiox13111324
Di Majo D, Ricciardi N, Moncada A, Allegra M, Frinchi M, Di Liberto V, Pitonzo R, Rappa F, Saiano F, Vetrano F, et al. Golden Tomato Juice Enhances Hepatic PPAR-α Expression, Mitigates Metabolic Dysfunctions and Influences Redox Balance in a High-Fat-Diet Rat Model. Antioxidants. 2024; 13(11):1324. https://doi.org/10.3390/antiox13111324
Chicago/Turabian StyleDi Majo, Danila, Nicolò Ricciardi, Alessandra Moncada, Mario Allegra, Monica Frinchi, Valentina Di Liberto, Rosa Pitonzo, Francesca Rappa, Filippo Saiano, Filippo Vetrano, and et al. 2024. "Golden Tomato Juice Enhances Hepatic PPAR-α Expression, Mitigates Metabolic Dysfunctions and Influences Redox Balance in a High-Fat-Diet Rat Model" Antioxidants 13, no. 11: 1324. https://doi.org/10.3390/antiox13111324
APA StyleDi Majo, D., Ricciardi, N., Moncada, A., Allegra, M., Frinchi, M., Di Liberto, V., Pitonzo, R., Rappa, F., Saiano, F., Vetrano, F., Miceli, A., Giglia, G., Ferraro, G., Sardo, P., & Gambino, G. (2024). Golden Tomato Juice Enhances Hepatic PPAR-α Expression, Mitigates Metabolic Dysfunctions and Influences Redox Balance in a High-Fat-Diet Rat Model. Antioxidants, 13(11), 1324. https://doi.org/10.3390/antiox13111324