AJCN 19th International Congress of Nutrition
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American Journal of Clinical Nutrition, Vol. 81, No. 2, 532-534, February 2005
© 2005 American Society for Clinical Nutrition


LETTERS TO THE EDITOR

Reply to M Serafini et al

LO Dragsted, G Ravn-Haren, M Hansen, M Kall, V Breinholt, J Jakobsen and SE Rasmussen

Danish Institute for Food and Veterinary Research
Soborg
Denmark
E-mail: lod{at}fdir.dk

A Pedersen and B Sandström

Research Department of Human Nutrition
LMC Center for Advanced Food Studies
Royal Veterinary and Agricultural University
Frederiksberg
Denmark

A Hermetter

Institute of Biochemistry and Food Chemistry
Technical University of Graz
Graz
Austria

S Basu

Department of Geriatrics and Clinical Nutrition Research University of Uppsala
Uppsala
Sweden

J Castenmiller

Division of Human Nutrition and Epidemiology
Department of Food Technology and Nutritional Sciences
Wageningen University
Wageningen
Netherlands

J Stagsted

Danish Research Institute for Agricultural Sciences
Foulum
Denmark

LH Skibsted

Department of Dairy end Food Science
LMC Center for Advanced Food Studies
Royal Veterinary and Agricultural University
Frederiksberg
Denmark

S Loft

Institute of Public Health
University of Copenhagen
Copenhagen
Denmark

Dear Sir:

We appreciate the comments on our paper (1) made by Serafini et al, who highlight some important problems in the interpretation and power of biomarker-based human intervention studies. Serafini et al’s letter contains 2 major points of criticism. The first concerns the possibility that our intervention period of 25 d was insufficient to observe a change in fasting measures of antioxidant capacity without an added dietary oxidant stress, such as increased fat. Relatively few human intervention studies have actually been able to show differences in antioxidant capacity, and as far as we are aware, all of these found only postprandial effects. This is the case for studies of tea and chocolate, which have been shown to result in short-term increases in markers of antioxidant capacity equivalent to the increased plasma concentration of catechins (26). The tomato study mentioned by Serafini et al also came to this conclusion (7). In another study, the intervention of 20–25% changes in fat or total energy intake for 12 wk was insufficient to elicit observable changes in plasma antioxidant capacity (8).

Thus, we can speculate that prolonged dietary changes are necessary to affect antioxidant capacity. For example, the lifestyle factors leading to type 2 diabetes also result in chronic decreases in plasma antioxidant capacity, apparently as the result of changes in uric acid metabolism (9, 10). Whether fruit and vegetables would counteract this effect in the long run remains to be investigated. Therefore, our conclusion that a large intake of fruit and vegetables does not affect fasting plasma measures of antioxidant capacity seems valid and in accordance with the literature.

The second criticism concerns our method for measuring plasma antioxidant capacity. According to Serafini et al, an increase in the measurement error may have resulted in our failure to detect minor changes, such as the 10% change calculated from the drop in ascorbate concentrations. Our automated assay of the ferric-reducing ability of plasma (FRAP) and Trolox-equivalent antioxidant capacity (TEAC) was optimized within the boundaries of our equipment, eg, with the absorbance filters available. This decreased sensitivity offset the absolute values of TEAC and increased intra-assay variability compared with the same assays on other equipment. We agree that the intra-day CV of our standard plasma sample was high and understand the concerns of Serafini et al. We have reinvestigated the cause of this and found that other samples and our calibrators had much lower variability, indicating some unidentified problem with our standard plasma. In these other samples, our intra-assay variation was still higher (6.7% for TEAC and 3.9% for FRAP) than the reference values cited in the literature (11, 12). However, this is unlikely to have caused a type I error in our study because the interindividual variability in FRAP and TEAC was still much higher than the assay variability. The measurement error therefore has relatively little influence on the actual power to detect differences. We observed an overall interindividual CV at baseline of 11.2% for TEAC ( ± SD: 885 ± 99 µmol/L) and 22.5% for FRAP ( ± SD: 693 ± 156 µmol/L) in the fasting samples (n = 43). In the postprandial samples, the variation was 17.0% and 26.7% (n = 28), respectively. In papers by others, including those cited by Serafini et al, the interindividual CVs for plasma antioxidant activities are variable but similar to ours, eg, 20.6% for FRAP [n = 141 (11)], 21.7% for total radical-trapping antioxidant potential [n = 11 (7)], 9.6% for TEAC [n = 312 (12)], and 18.3% for oxygen radical absorbance capacity [n = 60 (13)].

In our study (1), we tried to increase power by looking at the time course during the intervention with a repeated-samples analysis of covariance (ANCOVA) that used each volunteer’s value at baseline as a covariate. In this analysis, the analytic error becomes more important for the power because the interindividual differences are balanced out. However, it still depends on the intraindividual (interday) variation, which in our study was 9.3% for FRAP and 11% for TEAC. This leads to a power of 70% to detect a significant 10% change in TEAC or FRAP [determined by G-power (14) as a post hoc analysis]. In addition to the values at baseline and at the end of intervention (25 d), we measured plasma antioxidant capacity 3, 9, and 16 d after the start of the intervention and 8 and 29 d after the volunteers had resumed their habitual diet. As seen in Figure 1Go, there is no indication of deviations from the initial or post-intervention values, as we also confirmed by repeated-samples ANCOVA. In the case of FRAP, the known difference of 25% between men and women (11) was readily observable at all time points, which indicates to us that we would have seen some indication of a 10% change in fasting blood samples. Moreover, the groups with higher initial values were stable throughout.



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FIGURE 1.. Mean (±SE) ferric-reducing ability of plasma (FRAP) and fasting plasma Trolox-equivalent antioxidant capacity (TEAC) determined according to reference 1 in samples collected before (day 0), during (days 3–25), and after (days 33 and 54) intervention with 600 g fruits and vegetables ({diamondsuit}); a corresponding supplement containing nutrients, vitamins, and minerals ({blacktriangleup}); or a placebo pill plus an energy-balancing drink ({blacksquare}). The start and end of the intervention are marked with vertical arrows. None of the groups differed significantly at any time point by repeated-samples analysis of covariance.

 
In conclusion to this point, we agree that our assay sensitivity was probably not optimal and that our absolute values for TEAC may have been offset by the shortcomings of our automated equipment. However, we disagree that this seriously affected our power to detect a real change in measures of antioxidant capacity. The major source of noise in the measurement of plasma antioxidant capacity is the interindividual variation, which was similar in our study to that observed by others, including the cited reference studies. Consequently, we still conclude that there was no significant effect of fruit and vegetables on fasting plasma antioxidant capacity within the 25-d study period.

ACKNOWLEDGMENTS

None of the authors had any conflict of interest related to the results and discussion published in this letter.

REFERENCES

  1. Dragsted LO, Pedersen A, Hermetter A, et al. The 6-a-day study: effects of fruit and vegetables on markers of oxidative stress and antioxidative defense in healthy nonsmokers. Am J Clin Nutr 2004;79:1060–72.[Abstract/Free Full Text]
  2. Benzie IF, Szeto YT, Strain JJ, Tomlinson B. Consumption of green tea causes rapid increase in plasma antioxidant power in humans. Nutr Cancer 1999;34:83–7.[Medline]
  3. Pietta P, Simonetti P, Gardana C, Brusamolino A, Morazzoni P, Bombardelli E. Relationship between rate and extent of catechin absorption and plasma antioxidant status. Biochem Mol Biol Int 1998;46:895–903.[Medline]
  4. Sung H, Nah J, Chun S, Park H, Yang SE, Min WK. In vivo antioxidant effect of green tea. Eur J Clin Nutr 2000;54:527–9.[Medline]
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  6. Young JF, Dragsted LO, Haraldsdottir J, et al. Green tea extract only affects markers of oxidative status postprandially: lasting antioxidant effect of flavonoid-free diet. Br J Nutr 2002;87:343–55.[Medline]
  7. Pellegrini N, Riso P, Porrini M. Tomato consumption does not affect the total antioxidant capacity of plasma. Nutrition 2000;16:268–71.[Medline]
  8. Djuric Z, Uhley VE, Naegeli L, Lababidi S, Macha S, Heilbrun LK. Plasma carotenoids, tocopherols, and antioxidant capacity in a 12-week intervention study to reduce fat and/or energy intakes. Nutrition 2003;19:244–9.[Medline]
  9. Marra G, Cotroneo P, Pitocco D, et al. Early increase of oxidative stress and reduced antioxidant defenses in patients with uncomplicated type 1 diabetes: a case for gender difference. Diabetes Care 2002;25:370–5.[Abstract/Free Full Text]
  10. Valabhji J, McColl AJ, Richmond W, Schachter M, Rubens MB, Elkeles RS. Total antioxidant status and coronary artery calcification in type 1 diabetes. Diabetes Care 2001;24:1608–13.[Abstract/Free Full Text]
  11. Benzie IF, Strain JJ. The ferric reducing ability of plasma (FRAP) as a measure of "antioxidant power": the FRAP assay. Anal Biochem 1996;239:70–6.[Medline]
  12. Miller NJ, Rice-Evans C, Davies MJ, Gopinathan V, Milner A. A novel method for measuring antioxidant capacity and its application to monitoring the antioxidant status in premature neonates. Clin Sci (Lond) 1993;84:407–12.[Medline]
  13. Nelson JL, Bernstein PS, Schmidt MC, Von Tress MS, Askew EW. Dietary modification and moderate antioxidant supplementation differentially affect serum carotenoids, antioxidant levels and markers of oxidative stress in older humans. J Nutr 2003;133:3117–23.[Abstract/Free Full Text]
  14. Erdfelder E, Faul F, Buchner A. GPOWER. A general power analysis program. Behav Res Methods Instruments Comput 1996;28:1–11.




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