Malondialdehyde Analysis Service
Creative Proteomics provides precise malondialdehyde analysis to measure oxidative stress and lipid damage in biological samples. Our services include MDA quantification, detection of MDA adducts, and profiling of related metabolites, supporting research in diseases, aging, drug development, and environmental studies.
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- What We Provide
- List of Malondialdehyde Metabolites
- Technology Platform
- Advantages
- Sample Requirements
- Demo
- FAQs
- Publications
What are Malondialdehyde?
Malondialdehyde (MDA) is a reactive aldehyde generated primarily as a by-product of polyunsaturated fatty acid (PUFA) peroxidation. It is a critical marker for oxidative stress and has been linked to various chronic diseases, aging, and several pathological conditions. As a product of lipid oxidation, MDA reacts with nucleic acids, proteins, and other biomolecules, leading to DNA damage, protein dysfunction, and disruption of cellular mechanisms.
MDA is an organic compound with the chemical formula CH2(CHO)2, typically present as an enolate anion at physiological pH. Its ability to form adducts with DNA and proteins makes it a potent genotoxic and mutagenic agent. Given its widespread biological implications, accurate MDA analysis is crucial in understanding its role in disease progression and cellular damage.
What We Can Offer?
At Creative Proteomics, we provide a comprehensive range of malondialdehyde analysis designed to meet the specific needs of researchers and industry professionals. Our services are centered around precise detection, quantification, and interpretation of MDA levels in biological samples, with a focus on ensuring accurate results through advanced methodologies.
- Quantification of Malondialdehyde: Accurate quantification of MDA as a marker of lipid peroxidation and oxidative stress.
- MDA-Adduct Detection: Identification and quantification of MDA-derived adducts, such as M1G, which are linked to DNA damage and mutagenesis.
- MDA Derivatives Profiling: Profiling of secondary products of MDA like 4-hydroxy-2-nonenal (HNE) and acrolein, to gain a deeper understanding of oxidative damage.
- Lipid Peroxidation Dynamics: Analysis of lipid peroxidation kinetics and MDA formation, useful for studying aging, neurodegeneration, and cancer.
- MDA-Protein Interaction: Examination of MDA's interaction with proteins, including protein carbonylation, which affects protein function under oxidative stress.
- MDA in Disease Models: Analysis of MDA levels in disease models like diabetes, cardiovascular diseases, and cancer to understand oxidative stress in disease progression.
- Biomarker Analysis for Therapeutic Interventions: Measuring MDA levels as a biomarker to assess the effectiveness of antioxidant or pharmacological treatments.
- MDA in Nutritional Studies: Assessment of how diet and nutritional interventions affect oxidative stress, specifically MDA levels, in health research.
- Environmental Toxicology Monitoring: Monitoring MDA levels to assess oxidative stress caused by exposure to pollutants or environmental toxins.
List of Malondialdehyde and Related Metabolites We Can Analyze
| List of Malondialdehyde and Related Metabolites We Can Analyze | |||
|---|---|---|---|
| Malondialdehyde (MDA) | 4-Hydroxy-2-nonenal (HNE) | Acrolein | 2,4-Dienal |
| 2-Ethenylmalondialdehyde | 4-Oxo-2-nonenal | M1G (Malondialdehyde-DG Adduct) | HHT (12(S)-Hydroxy-8,10(E,E)-heptadecadienoic acid) |
| Glutathione-MDA Adducts | MDA-Protein Adducts | ||
Methods for Malondialdehyde Detection
We use several advanced methods for malondialdehyde detection, including High-Performance Liquid Chromatography (HPLC) with Agilent 1260 Infinity II, Gas Chromatography-Mass Spectrometry (GC-MS) with Agilent 7890A and 5975C MSD, and Fluorescence Spectroscopy using Horiba Scientific FluoroLog-3. These techniques ensure high sensitivity, specificity, and accurate quantification of MDA and its metabolites across various sample types.
Agilent 1260 Infinity II (Figure from Agilent)
Advantages of Our Malondialdehyde Assay
- High Sensitivity and Accuracy: Using advanced techniques like HPLC, GC-MS, and Fluorescence Spectroscopy, we achieve detection limits as low as 0.1 µM for MDA, ensuring precise quantification even in complex biological samples.
- Reliable and Reproducible Results: Our analysis boasts a high reproducibility rate with a coefficient of variation (CV) typically under 10%, providing consistent and reliable data for both research and clinical applications.
- Comprehensive Analysis: We analyze MDA and its derivatives, such as HNE, acrolein, and MDA-protein adducts, providing a comprehensive view of lipid peroxidation and oxidative stress processes.
- Fast Turnaround: Results are delivered in 7–10 business days, enabling rapid data access for ongoing research or clinical studies.
- Wide Range of Sample Types: We can analyze MDA across diverse sample types, including plasma, serum, tissue, urine, and cell culture media, offering flexibility for various study designs.
Sample Requirements for Malondialdehyde Analysis
| Sample Type | Required Volume | Storage Conditions | Collection Method |
|---|---|---|---|
| Plasma/Serum | 100 µL - 1 mL | Store at -80°C | Collect in EDTA or heparin tubes, keep on ice |
| Tissues (Human/Animal) | 50 - 100 mg | Flash freeze in liquid nitrogen, -80°C | Immediately snap freeze after dissection |
| Urine | 1 - 5 mL | Store at -80°C | Collect in sterile container |
| Cell Culture Supernatant | 500 µL - 1 mL | Store at -80°C | Collect media after incubation and filtration |
| Blood Cells | 100 µL - 1 mL | Process within 1 hour, store at -80°C | Collect with standard blood collection methods |
| Proteins | 100 µg - 1 mg | Store at -80°C | Isolate proteins from biological fluids |
Applications of Malondialdehyde Assay
Oxidative Stress Studies
MDA serves as a biomarker for oxidative damage to lipids, making it useful in studying oxidative stress in cells and tissues.
Environmental Toxicology
MDA levels can be measured to assess the effects of pollutants, chemicals, and environmental toxins on organisms.
Food Quality Control
MDA is a product of fat oxidation, so measuring its concentration helps monitor the freshness and spoilage of food products, especially fats and oils.
Pharmacological Research
MDA analysis is used to evaluate the effects of drugs, antioxidants, and other compounds on oxidative damage.
Aging Studies
Increased MDA levels are associated with aging, so it can be used to study age-related changes in cellular processes.
Biomarker in Diseases
MDA is used as a marker in animal and cellular models for diseases related to oxidative damage, such as neurodegenerative diseases, cardiovascular conditions, and diabetes.
Agriculture and Plant Biology
MDA levels are measured to assess the effects of environmental stressors like drought, salinity, or temperature on plants.
Sports Science
In exercise physiology, MDA levels are used to evaluate the impact of physical activity on oxidative stress in athletes.
Demo
Representative chromatogram of a rat brain sample spiked. (Figure from Jîtcă et al., Molecules, 2021)
Changes of malondialdehyde (MDA) retention time depending on the variation of the chromatographic parameter (Figure from Jîtcă et al., Molecules, 2021)
FAQ of Malondialdehyde Analysis
Can I use frozen samples for MDA analysis?
Yes, frozen samples are acceptable, and in fact, freezing is the best method for preserving MDA levels. However, it's critical that samples are stored at -80°C to prevent any degradation of MDA or other oxidative products. Ensure that the samples are not subjected to repeated freeze-thaw cycles, as this can alter MDA concentrations and affect the accuracy of the analysis.
How do you ensure the accuracy and reliability of MDA analysis?
We use validated, highly sensitive techniques such as HPLC, GC-MS, and Fluorescence Spectroscopy to detect and quantify MDA. These methods are known for their precision and sensitivity, with detection limits as low as 0.1 µM. To ensure consistency, we follow strict protocols and quality control measures, including the use of internal standards and calibration curves. Our tests also exhibit a reproducibility rate with a coefficient of variation (CV) typically under 10%, guaranteeing reliable results.
Can I use MDA analysis to assess oxidative stress in cell culture experiments?
Yes, MDA analysis is commonly used to measure oxidative stress in cell culture models. We can analyze MDA levels in both cell culture supernatants and cell lysates. This helps evaluate the extent of lipid peroxidation and oxidative damage in response to various treatments or environmental conditions. To ensure accuracy, it's important that you collect the samples at the appropriate time point in your experiment.
What is the difference between MDA and other oxidative stress markers?
While MDA is one of the most commonly used markers of oxidative stress, it is not the only marker. Other oxidative stress products like 4-hydroxy-2-nonenal (HNE) and acrolein are also associated with lipid peroxidation. MDA is specifically a byproduct of polyunsaturated fatty acid (PUFA) peroxidation and is highly reactive, making it useful for assessing the overall oxidative burden. However, a comprehensive analysis that includes MDA and its derivatives provides a more complete picture of oxidative damage and stress.
Learn about other Q&A.
Malondialdehyde Analysis Case Study
Publications
Here are some publications in proteomics research from our clients:
- Teriflunomide/leflunomide synergize with chemotherapeutics by decreasing mitochondrial fragmentation via DRP1 in SCLC. 2024. https://doi.org/10.1016/j.isci.2024.110132
- Multiomics of a rice population identifies genes and genomic regions that bestow low glycemic index and high protein content. 2024. https://doi.org/10.1073/pnas.2410598121
- Ketone bodies are mildly elevated in subjects with type 2 diabetes mellitus and are inversely associated with insulin resistance as measured by the lipoprotein insulin resistance index. 2020. https://doi.org/10.3390/jcm9020321
- DNA stimulates SIRT6 to mono-ADP-ribosylate proteins within histidine repeats. 2024. https://doi.org/10.1101/2024.07.31.606047
- Thermotolerance capabilities, blood metabolomics, and mammary gland hemodynamics and transcriptomic profiles of slick-haired Holstein cattle during mid lactation in Puerto Rico. 2024. https://doi.org/10.3168/jds.2023-23878
