Linking Experimental Models to Pathophysiology: Oxidative Stress and DNA Damage in Cardiovascular Diseases
Abstract
1. Introduction
2. Methods
3. Experimental In-Vitro Models
4. Direct Inducers of Oxidative Stress In-Vitro Model
4.1. Tert-Butyl Hydroperoxide (TBHP) in In-Vitro Model
4.2. Isoproterenol (ISO)
4.3. Hydrogen Peroxide (H2O2)
4.4. Potassium Bromate (KBrO3) in In-Vitro Model
5. Indirect Inducers of Oxidative Stress in In-Vitro Model
5.1. Tumor Necrosis Factor-Alpha (TNF-α)
5.2. Lipopolysaccharide (LPS)
5.3. High Glucose (HG)
5.4. Hypoxia/Reoxygenation (H/R)
5.5. Senescent Cell Co-Culture
6. Morphological Analysis for Oxidative Stress and DNA Damage in Cardiovascular Diseases
7. Cytotoxicity Assay
7.1. MTT Cell Viability Assay
7.2. Determination of Total Protein Content
7.3. Determination of Cellular Apoptosis
7.4. Determination of Intracellular ROS
8. Quantitative Real-Time PCR
9. Western Blot
10. Measurement of Cellular Inflammation
11. Evaluation of JAK2/STAT3 Signal Pathway
12. Evaluation of LC3 Conversion
13. PI3K/Akt Signaling Pathway
14. Comet Assay to Evaluate Oxidative DNA Damage
15. Seahorse Assay
16. Nanoparticles for Detection and Monitoring the Reactive Oxygen Species (ROS)
17. Electrochemical Detection
18. Electron Paramagnetic (Spin) Resonance (EPR/ESR)
19. Extracellular H2O2 Detection by Amplex Red
20. Genetic Sensors for Mitochondrial ROS Measurement
21. In-Vivo Assays
21.1. Experimental In-Vivo Models
21.2. Direct Inducers of Oxidative Stress In-Vivo
21.3. Doxorubicin (DOX)
21.4. Carbon Tetrachloride (CCl4)
21.5. Cisplatin
21.6. Gentamicin
21.7. Bleomycin
21.8. Rotenone
21.9. Paraquat
21.10. Tert-Butyl Hydroperoxide (TBHP)in In-Vivo Model
21.11. Potassium Bromate (KBrO3) in In-Vivo Model
21.12. Indirect Inducers of Oxidative Stress in In-Vivo Model
21.13. High-Fat Diet (HFD)-Induced Metabolic Stress
21.14. Lipopolysaccharide (LPS)-Induced Systemic Inflammation
21.15. D-Galactose-Induced Aging Model
21.16. Hypoxia/Reoxygenation (H/R) Injury Model
21.17. Chronic Restraint Stress Model
21.18. Sleep Deprivation Model
21.19. Senescence-Accelerated Mouse Model (SAMP8)
22. In-Vivo Assays for Oxidative Stress and DNA Damage in Cardiovascular Diseases
22.1. Non-Invasive and Translational Imaging Modalities
22.2. Biochemical Estimations
22.3. Histopathological Examination
23. Critical Comparison of Experimental Models and Guidance for Model Selection
23.1. Reliability and Reproducibility of In-Vitro Models
23.2. Reliability and Translational Value of In-Vivo Models
23.3. Comparative Assessment of Analytical Methods
23.4. Model Selection Based on Research Objectives
24. Conclusions and Future Perspective
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| In-Vitro Models | Advantages | Disadvantages |
|---|---|---|
| Cardiac single cell |
| |
| Two-dimensional (2D) cell cultures | ||
| Three- dimensional (3D) cell cultures |
| |
| Coculture |
|
|
| Microfluidic cell culture |
|
| Inducers | Experimental Observation | Molecular Mechanisms | Inducer Dose | EC50/Appotosis |
|---|---|---|---|---|
| TBHP |
|
|
| |
| ISO |
|
|
| |
| H2O2 |
|
|
|
|
| KBrO3 |
|
|
|
|
| Nano Sensors Nanomicelles/Nanopolymer/Carbon Nanotubes/Metallic | Applications | Advantages | Disadvantages | References |
|---|---|---|---|---|
| Luminescence (e.g., quantum dots or lanthanide-doped nanoparticles) |
|
|
| [110,111,112,113,114] |
| Fluorescent-quenching (e.g., gold nanoparticles or graphene oxide-based systems) |
|
|
| [115,116,117,118,119] |
| Surface-enhanced Raman spectroscopy (SERS) (e.g., silver or gold nanoparticles) |
|
|
| [120,121] |
| ROS-dye encapsulation (e.g., Hydrocyanine-conjugated nanoparticles) |
|
|
| [122,123,124,125,126,127,128] |
| Nano surface energy transfer (NSET) (e.g., gold nanoparticles) |
|
|
| [129] |
| Electrochemical (e.g., carbon nanotubes, graphene-modified electrodes, or metal nanoparticle-based nanoelectrodes) |
|
|
| [130,131,132,133,134,135,136,137] |
| Model/Method | Reliability | Reproducibility | Translational Relevance | Best Use Case |
|---|---|---|---|---|
| H2O2/TBHP (in vitro) | High | High | Low | Mechanistic studies of ROS signaling |
| H9c2 cell line | High | High | Low–Moderate | Screening and pathway analysis |
| Primary cardiomyocytes | Moderate | Moderate | Higher than cell lines | Physiological validation |
| 3D/microfluidic systems | Moderate | Low–Moderate | Moderate–High | Tissue-level interactions |
| ISO-induced model | High | Moderate–High | Moderate | Drug screening, acute injury |
| DOX-induced model | High | Moderate | Moderate | Cardiotoxicity studies |
| HFD model | Moderate | Low–Moderate | High | Metabolic and chronic disease studies |
| Hypoxia/Reoxygenation | Moderate | Moderate | High | Ischemia–reperfusion research |
| DCFDA assay | Moderate | High | Low | High-throughput ROS screening |
| EPR/ESR | High | High | High | Direct ROS detection (gold standard) |
| Seahorse assay | High | Moderate | High | Mitochondrial function analysis |
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Gavanji, S.; Zaki, H.; Panjwani, P.; Othman, E.M. Linking Experimental Models to Pathophysiology: Oxidative Stress and DNA Damage in Cardiovascular Diseases. Int. J. Mol. Sci. 2026, 27, 3931. https://doi.org/10.3390/ijms27093931
Gavanji S, Zaki H, Panjwani P, Othman EM. Linking Experimental Models to Pathophysiology: Oxidative Stress and DNA Damage in Cardiovascular Diseases. International Journal of Molecular Sciences. 2026; 27(9):3931. https://doi.org/10.3390/ijms27093931
Chicago/Turabian StyleGavanji, Shahin, Hazem Zaki, Priyadarshini Panjwani, and Eman M. Othman. 2026. "Linking Experimental Models to Pathophysiology: Oxidative Stress and DNA Damage in Cardiovascular Diseases" International Journal of Molecular Sciences 27, no. 9: 3931. https://doi.org/10.3390/ijms27093931
APA StyleGavanji, S., Zaki, H., Panjwani, P., & Othman, E. M. (2026). Linking Experimental Models to Pathophysiology: Oxidative Stress and DNA Damage in Cardiovascular Diseases. International Journal of Molecular Sciences, 27(9), 3931. https://doi.org/10.3390/ijms27093931

