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Quantitation of oxidative damage to tissue proteins
J M Fagan1, B G Sleczka, I Sohar
1Department of Animal Sciences, Rutgers University, New Brunswick, NJ 08903-0231, USA. fagan@aesop.rutgers.edu
The International Journal of Biochemistry & Cell Biology
|September 1, 1999
Summary
This study enhances the 2,4-dinitrophenylhydrazine (DNPH) assay for measuring protein oxidation. Improved methods reliably quantify carbonyl groups in various tissues, even with high chromophore content.
Area of Science:
- Biochemistry
- Oxidative Stress Research
Background:
- Active oxygen species contribute to physiological and pathological processes.
- Oxidative modification of proteins, specifically carbonyl group addition, is a key marker of cellular damage.
- Existing spectrophotometric assays using 2,4-dinitrophenylhydrazine (DNPH) are unreliable in highly colored samples.
Purpose of the Study:
- To improve the reliability and applicability of the DNPH assay for quantifying protein carbonyl content.
- To develop a method that overcomes interference from chromophores like hemoglobin and myoglobin.
- To establish a sensitive and dependable assay for assessing oxidative protein damage in diverse tissue types.
Main Methods:
- Incorporation of an HCl-acetone wash to extract heme chromophores from tissue samples.
- Utilizing additional trichloroacetic acid and ethanol-ethylacetate washes to remove residual DNPH and lipids.
- Spectrophotometric quantification of protein carbonyl groups using the modified DNPH assay.
Main Results:
- The modified DNPH assay effectively quantifies carbonyl content in highly colored tissue extracts.
- The improved method demonstrates reliability even with samples containing significant amounts of chromophores.
- The assay can accurately measure carbonyl content using small protein amounts (1-4 mg) from various tissues.
Conclusions:
- The optimized DNPH assay provides a sensitive and reliable method for assessing oxidative damage to tissue proteins.
- This enhanced assay overcomes limitations of previous methods, enabling accurate quantification in challenging sample matrices.
- The improved technique facilitates broader research into the role of protein oxidation in health and disease.