Literature DB >> 32467481

Correspondence.

Maryam Khoubnasabjafari1, Alireza Javadzadeh2, Abolghasem Jouyban3,4.   

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Year:  2020        PMID: 32467481      PMCID: PMC7392580          DOI: 10.1097/IAE.0000000000002859

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   3.975


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To the Editor: We read a systematic review and meta-analysis of Pinna et al[1] entitled “Malondialdehyde levels in patients with age-related macular degeneration” with great interest. The authors have done a comprehensive review work and tried to formulate the association between age-related macular degeneration (AMD) and malondialdehyde (MDA) levels by meta-analysis of 12 published reports. Serum/plasma levels of MDA in control groups varied in the range of 1.00 to 33.29 µmol/L and those of AMD groups were in the range of 2.18 to 29.36 µmol/L. The ratio of AMD groups/control groups varied from 0.88 to 3.00. Extreme heterogeneity was correctly reported by Pinna et al, and a number of possible sources of heterogeneity were investigated, including type of sample matrix (serum or plasma), geographical area where research was conducted (eight reports in Turkey, and one report each in China, Italy, South Korea, and Japan), and AMD form (wet or dry) without any significant changes in heterogeneity. The large values of relative standard deviations in both control (varying between 10.6% and 40.2%) and AMD (varying between 5.1% and 46.4%) groups reveal that there are serious confounding factors affecting MDA levels in both groups. Pinna et al[1] correctly mentioned the effects of age, type of sample, sample pretreatment, and standardization of the analytical method for quantification of MDA as other sources of heterogeneity. In addition to the above-mentioned sources of heterogeneity, one may consider the effects of sex, diet, circadian rhythms, cigarette, drugs, other diseases, cross reactions of MDA, cross reactions of thiobarbituric acid, and effects of pH as further confounding factors in using MDA as a biomarker[2] in any disease, including AMD. In addition, low reproducibility, low repeatability, less sensitivity, and low specificity of spectroscopic methods should be critically evaluated before conducting anymore clinical investigation. Validation of the analytical method to be used in future studies is highly recommended, and a combination of separation techniques such as chromatographic or capillary electrophoresis methods could improve a part of analytical results; however, the problems associated with high chemical reactivity of MDA still remain unresolved.[3] As an example of the nonreliability of MDA determination, if one considers the reported levels for MDA in three articles[4-6] reviewed by Pinna et al[1] which were measured using a single analytical method proposed by Jain et al,[7] there are significant differences between MDA levels of both control (1.00 ± 0.36[4], 4.30 ± 1.30[5], and 2.83 ± 0.43[6]) and AMD (2.76 ± 1.28[4], 6.90 ± 1.30[5], and 3.69 ± 0.88[6]) groups, as revealed by the results of the t-test (Figure 1). It is the same for MDA data of two other works[8,9] in which the analytical method was reported by Wasowics et al.[10] There are other similar observations dealing with the variations in MDA levels using the same analytical method and even the same research group, which have been discussed elsewhere.[11] The most interesting point is that in all these works, the derivatization of MDA was performed using thiobarbituric acid, and after, spectrophotometric/spectrofluorimetric assay was used for quantification.
Fig. 1.

Comparison of mean MDA values of three studies[4–6] in control and AMD groups measured using a single analytical method.[7]

Comparison of mean MDA values of three studies[4-6] in control and AMD groups measured using a single analytical method.[7] Another interesting finding has been reported by Matsuura et al[12] in which the MDA levels for the control group were reported to be 9.04 ± 0.96 nmol/L (which we believe it should be in μmol/L), and those for wet and dry AMD groups were 9.94 ± 1.53 and 9.30 ± 0.92, respectively. After 3 months, supplementation with a combination of antioxidants in the wet AMD group was randomly divided into two subgroups, receiving supplementation (S+) and no supplementation (S−). The MDA levels in (S+) and (S−) subgroups were 10.34 ± 2.03 and 9.54 ± 0.70 µmol/L (with a significant difference), which were changed to 8.88 ± 1.18 and 10.41 ± 1.36 µmol/L (with a significant difference), respectively, after 3 months. There were also significant differences before and after 3 months in both (S+) and (S−) subgroups, revealing that the supplementation decreased the MDA levels and also MDA levels were increased in the (S−) group after 3 months. In three studies,[6,9,13] the AMD group was investigated in early and late subgroups, and in two of those studies,[6,13] the MDA levels were increased in comparison with the control group and also among early and late AMD subgroups. However, in one study,[9] no significant difference was observed between early AMD and control groups. In conclusion, the association between pathologic condition and oxidative stress is a well-accepted fact in biology and medicine, but using MDA as a reliable marker of oxidative stress is still questionable from an analytical viewpoint, as discussed in an earlier report[2] and also as discussed by Pinna et al.[1] There are a number of characteristics for an acceptable biomarker, and MDA does not fulfill most of the required criteria for an ideal biomarker, as shown in an earlier work.[3] As stated by Wade and van Rij in 1989, problems associated with MDA specificity and reactivity have been largely ignored by many researchers[14] because of the simplicity of its spectroscopic determination; however, this ignorance results in findings that are confusing and needs more attention in method validation for MDA analysis before performing a clinical study. Further discussions on this topic are open for more comments/criticisms, and we believe that clinical investigators will pay more attention to the accuracy, precision, reproducibility, repeatability, and other validation criteria of the analytical method, as has been discussed in detail in previous works.[2,3]
  13 in total

1.  Plasma malondialdehyde and nitric oxide levels in age related macular degeneration.

Authors:  Y Totan; O Cekiç; M Borazan; E Uz; S Sögüt; O Akyol
Journal:  Br J Ophthalmol       Date:  2001-12       Impact factor: 4.638

2.  Serum paraoxonase 1 activity and lipid peroxidation levels in patients with age-related macular degeneration.

Authors:  Gulden Baskol; Sarper Karakucuk; Ayse Ozturk Oner; Mevlut Baskol; Derya Kocer; Ertugrul Mirza; Recep Saraymen; Muzaffer Ustdal
Journal:  Ophthalmologica       Date:  2006       Impact factor: 3.250

3.  Avoid using spectrophotometric determination of malondialdehyde as a biomarker of oxidative stress.

Authors:  Maryam Khoubnasabjafari; Jafar Soleymani; Abolghasem Jouyban
Journal:  Biomark Med       Date:  2018-06-06       Impact factor: 2.851

4.  Combined effects of cigarette smoking and alcohol consumption on antioxidant/oxidant balance in age-related macular degeneration.

Authors:  Isabella Venza; Maria Visalli; Rosaria Oteri; Diana Teti; Mario Venza
Journal:  Aging Clin Exp Res       Date:  2012-06-25       Impact factor: 3.636

5.  Evidence for membrane lipid peroxidation during the in vivo aging of human erythrocytes.

Authors:  S K Jain
Journal:  Biochim Biophys Acta       Date:  1988-01-22

6.  Nitric oxide and lipid peroxidation are increased and associated with decreased antioxidant enzyme activities in patients with age-related macular degeneration.

Authors:  Cem Evereklioglu; Hamdi Er; Selim Doganay; Mustafa Cekmen; Yusuf Turkoz; Baris Otlu; Elif Ozerol
Journal:  Doc Ophthalmol       Date:  2003-03       Impact factor: 2.379

7.  Changes in blood oxidative and antioxidant parameters in a group of Chinese patients with age-related macular degeneration.

Authors:  X L Shen; J H Jia; P Zhao; R Fan; X Y Pan; H M Yang; L Liu
Journal:  J Nutr Health Aging       Date:  2012-03       Impact factor: 4.075

8.  Optimized steps in fluorometric determination of thiobarbituric acid-reactive substances in serum: importance of extraction pH and influence of sample preservation and storage.

Authors:  W Wasowicz; J Nève; A Peretz
Journal:  Clin Chem       Date:  1993-12       Impact factor: 8.327

9.  Decreased serum paraoxonase 1 activity and increased serum homocysteine and malondialdehyde levels in age-related macular degeneration.

Authors:  Orhan Ates; Sedat Azizi; H Hakan Alp; Ahmet Kiziltunc; Sukru Beydemir; Emine Cinici; Ibrahim Kocer; Orhan Baykal
Journal:  Tohoku J Exp Med       Date:  2009-01       Impact factor: 1.848

10.  Nutritional Supplementation Inhibits the Increase in Serum Malondialdehyde in Patients with Wet Age-Related Macular Degeneration.

Authors:  Toshiyuki Matsuura; Kei Takayama; Hiroki Kaneko; Fuxiang Ye; Hiroshi Fukukita; Taichi Tsunekawa; Keiko Kataoka; Shiang-Jyi Hwang; Yosuke Nagasaka; Yasuki Ito; Hiroko Terasaki
Journal:  Oxid Med Cell Longev       Date:  2017-01-24       Impact factor: 6.543

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