| Literature DB >> 33756398 |
Thorsten Henning1, Daniela Weber2.
Abstract
PURPOSE: The purpose of this review is to give an overview on recently published articles investigating the associations of diet and dietary interventions with biomarkers of oxidative stress with special emphasis on different categories of redox biomarkers.Entities:
Keywords: Biomarkers; Blood; Dietary intake; Intervention; Nutrition; Observational study; Oxidative stress
Year: 2021 PMID: 33756398 PMCID: PMC8020480 DOI: 10.1016/j.redox.2021.101922
Source DB: PubMed Journal: Redox Biol ISSN: 2213-2317 Impact factor: 11.799
Fig. 1Flowchart of the selection process.
Fig. 2Schematic overview of studies. Observation and intervention studies were evaluated in relation to measurements of different redox biomarkers. Depicted in light yellow are measured exogenous antioxidants in blood, turquoise shows endogenous antioxidants and oxidative stress markers are depicted by pink color. Both, healthy participants as well as patients were included. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3Number of articles that describe analyzing different biomarkers. Depicted in light yellow are studies that measured exogenous antioxidants in blood, turquoise shows which studies measured endogenous antioxidants and oxidative stress markers are depicted by pink color. Results are shown by observational studies (light blue) and intervention studies (darker blue), and separated by healthy participants (green) and patients (orange). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Observational studies.
| Focus of Observation | Participants | N (age in years) | Biomarkers | Conclusion | Ref. |
|---|---|---|---|---|---|
| F/V intake (15-day dietary record and F/V questionnaire) | healthy | 83 (40 ± 10) | TAC, carotenoids, FOX2, oxLDL, PON1, dietary TAC | positive correlation between F/V and plasma carotenoids, negative correlation between F/V and oxLDL as well as between β-carotene and oxLDL | [ |
| Dietary pattern (annual semi-quantitative FFQ with 160 items) | healthy (obese) | 68: | MDA | MDA higher in cluster with obese participants, obese had lower F/V intake | [ |
| 20 normal (56.4 ± 10.1) | |||||
| 35 overweight (51.7 ± 11.7) | |||||
| 13 obese (47.8 ± 10.2) | |||||
| Diet quality score (46 foods or food groups) | healthy vs. persons with OS conditions | 1229: | carotenoids, MDA (plasma, urine and erythrocytes) | only in the OS group: negative association between Recommended Food Score (RFS) and erythrocyte MDA concentrations but not with plasma MDA association between RFS and plasma carotenoids, especially total and β-carotene, in healthy and OS | [ |
| 823 healthy (45.3 ± 10.7) | |||||
| 406 OS (51.8 ± 11.2) | |||||
| Dietary pattern (assessed by diet history questionnaire, 124 food items) | healthy | 269 (59.8 ± 5.5) | 8-isoP | inverse associations between dietary intake of PUFAs, zinc and insoluble fiber with 8-isoP | [ |
| Seafood intake (3-day dietary record) | healthy | 81: men (39.9–49.3) | oxLDL, 8-isoP, TBARS | shellfish consumption associated with elevated levels of plasma oxLDL | [ |
| women (36.6–47.9) | |||||
| Vitamin E intake (semi-quantitative FFQ, 146 items) | CHD | 1002 (20–75) | 3NT, GSH/GSSG, GPx | higher GPx activity associated with an inadequate intake of vitamin E | [ |
| Magnesium intake (3-day food diary) | healthy vs. obese | 83 women: | TBARS | negative correlations between erythrocyte magnesium concentrations and plasma TBARS only in obese group | [ |
| 31 obese (34.7 ± 7.58) | |||||
| 52 control (35.4 ± 8.64) | |||||
| Dietary intake (dietary habits questionnaire) | healthy but cognitive frail | 815 (68.9 ± 6.1) | MDA | cognitive frail participants had lower intakes of niacin and riboflavin as well as higher plasma MDA | [ |
| Nutritional status/intake (standardized 24h food record) | HD | 49 (18–65) | TAC, iron, Mn, Se, Zn, MDA, PCs, erythrocyte GPx | carbohydrate intake correlated positively with MDA and PCs, zinc intake correlated negatively with MDA and PCs | [ |
| Dietary intake (semi-quantitative FFQ) | HD | 85 (62 ± 13.7) | TAC, SOD, MDA, GST, NO | low plasma NO associated with higher intake of nutrients with antioxidant properties (Cu, Mn, ω-3, ω-6, vitamin E) | [ |
All biomarker measurements in blood (unless otherwise stated); men and women included (unless otherwise stated).
Vitamin D Supplementation in patients.
| Intervention | Disease | N (age in years) | Biomarkers | Effect of intervention (*) | Ref. |
|---|---|---|---|---|---|
| 1000 IU vitamin D3 + 1000 mg evening primrose oil daily, 12 wks, DB | PCOS | 60 women: | TAC, GSH, MDA | MDA decreased (#), GSH increased (#) | [ |
| 30 PG (25.4 ± 4.7) | |||||
| 30 IG (26.4 ± 8.1) | |||||
| 50000 IU vitamin D3 every 2 wks, 12 wks, DB | PCOS | 70 women (18–40) | TAC, GSH, MDA, NO | MDA lower (*) | [ |
| 50000 IU vitamin D3 every 2 wks + 2x 1000 mg/day ω-3, 12 wks, DB | PCOS | 60 women (18–40) | TAC, GSH, MDA, NO | MDA decreased (#), TAC increased (#) | [ |
| 50000 IU vitamin D3 every 2 wks, 12 wks, DB | diabetic foot ulcer | 60: | TAC, GSH, MDA, NO | MDA lower (*) | [ |
| 30 PG (58.6 ± 8.6) | |||||
| 30 IG (59.6 ± 8.2) | |||||
| 50000 IU vitamin D3/wk, 8 wks, DB | diabetic nephropathy | 50: | TAC, SOD, CAT, GPX, MDA | no effect | [ |
| 25 PG (43.7 ± 6.1) | |||||
| 25 IG (39.7 ± 7.3) | |||||
| 50000 IU vitamin D3 every 2 wks, 6 months, DB | irritable bowel syndrome | 85: | TAC, MDA | MDA decreased (#), TAC increased (#) | [ |
| 41 PG (38.3 ± 9.9) | |||||
| 44 IG (37.5 ± 8) | |||||
| 50000 IU vitamin D3 every 2 wks, 6 months, DB | coronary artery disease | 60: | TAC, GSH, MDA, NO | MDA lower (*), NO increased (#), GSH increased (#) | [ |
| 30 PG (63.0 ± 10.7) | |||||
| 30 IG (60.5 ± 8) | |||||
| 50000 IU vitamin D3 every 2 wks, 12 wks, DB | HD | 60 (18–80) | TAC, GSH, MDA, NO | TAC higher (*), MDA lower (*) | [ |
| 50000 IU vitamin D3 every 2 wks + 2x 1000 mg/day ω-3, 12 wks, DB | Multiple Sclerosis | 53: | TAC, GSH, MDA | MDA lower (*) | [ |
| 27 PG (35.2 ± 9.2) | |||||
| 26 IG (33.3 ± 6.5) | |||||
| 50000 IU vitamin D3 every 2 wks, 12 wks, DB | methadone treatment patients | 68: | TAC, GSH, MDA, NO | TAC and GSH higher (*) | [ |
| 34 PG (42.5 ± 8.9) | |||||
| 34 IG (40.1 ± 9.2) | |||||
All biomarkers measurements in blood (unless otherwise stated); men and women included (unless otherwise stated); PG (placebo group), IG (intervention group). DB (double-blind), SB (single blind), NB (not blinded); only significant results are mentioned. Significant changes are marked by: (*) vs. PG; (+) vs. baseline; (#) vs. baseline and PG.
Probiotic supplementation in patients.
| Intervention | Disease | N (age in years) | Biomarkers | Effect of intervention | Ref. |
|---|---|---|---|---|---|
| 100 ml Sorghum drink with probiotics, 3–4x/wk, 2 pks on day of HD and the day after, 7 wks, SB | CKD/HD | 58: | TAC, MDA, SOD, polyphenols | TAC higher (*), MDA lower (*), SOD higher (*) | [ |
| 29 PG (63 ± 10.6) | |||||
| 29 IG (63.2 ± 11.2) | |||||
| Probiotic supplements daily (one capsule/day), 12 wks, DB | HD | 60: | TAC, MDA, NO, GSH | MDA lower (*), TAC lower | [ |
| 30 PG (59.4 ± 16.0) | |||||
| 30 IG (54.0 ± 16.0) | |||||
| 100 mg Lactobacillus coagulants tablet, 2 per day, 8 wks, DB | HD | 46 (63 ± 17) | MDA | MDA decreased (#) | [ |
| 23 PG | |||||
| 23 IG | |||||
| Probiotic capsule(s) supplements daily, 12 wks, DB | diabetic nephropathy | 60: | TAC, MDA, GSH, NO, AGEs | NO increased, GSH increased, MDA reduced, AGEs reduced (*) | [ |
| 30 PG (60.9 ± 4.4) | |||||
| 30 IG (58.9 ± 8.8) | |||||
| 200 ml probiotic soy milk/day, 8 wks (vs. soy milk), SB | diabetic kidney disease | 40: | TAC, MDA, GPx, GSH/GSSG, GR, 8-isoP | increase in GSH, GPx and GR, decrease in GSSG (+) | [ |
| 20 PG (53.6 ± 1.6) | |||||
| 20 IG (56.9 ± 1.8) | |||||
| 220 g yoghurt or milk per day, 24 wks, NB | NAFLD and MetS | 92 women (36–66) | SOD, GPx | SOD, GPx increased in yoghurt vs. milk group after 24 wks (+) | [ |
| 44 PG | |||||
| 48 IG | |||||
| Syn-/Probiotic supplements daily, 12 wks, DB | overweight, diabetes and CHD | 60: | TAC, MDA, NO, GSH | NO increased, MDA decreased (#) | [ |
| 30 PG (64.0 ± 11.7) | |||||
| 30 IG (64.2 ± 12.0) | |||||
| Probiotic supplement capsules daily, 12 wks, DB | Multiple Sclerosis | 60: | TAC, MDA, NO, GSH | differences in adjusted changes between MDA and NO (*) | [ |
| 30 PG (33.8 ± 8.9) | |||||
| 30 IG (34.4 ± 9.2) | |||||
| Probiotic supplements capsule daily, 12 wks, DB | diabetic foot ulcer | 60: | TAC, MDA, NO, GSH | higher TAC, NO, lower MDA (*) | [ |
| 29 PG (58.5 ± 11.0) | |||||
| 30 IG (62.6 ± 9.7) | |||||
| Probiotic supplements daily, 12 wks, DB | PCOS | 60: | TAC, MDA, NO, GSH | higher TAC, GSH lower MDA (*) | [ |
| 30 PG (27.7 ± 4.7) | |||||
| 30 IG (27.2 ± 4.6) |
All biomarkers measurements in blood (unless otherwise stated); men and women included (unless otherwise stated); PG (placebo group), IG (intervention group). DB (double-blind), SB (single blind), NB (not blinded); only significant results are mentioned. Significant changes are marked by: (*) vs. PG; (+) vs. baseline; (#) vs. baseline and PG.
Interventions with vitamin E and/or ω-3 supplementation in patients.
| Intervention | Disease | N (age in years) | Biomarkers | Effect of intervention | Ref. |
|---|---|---|---|---|---|
| 1000 mg ω-3 + 400 IU vitamin E, 12 wks, DB | Fibrocystic breast disease | 56: | TAC, MDA, NO, GSH | NO higher (*) | [ |
| 28 PG (47.6 ± 5.8) | |||||
| 28 IG (45.3 ± 7.2) | |||||
| 1000 mg flaxseed oil/day, 12 wks, DB | diabetic nephropathy | 60: | TAC, MDA, NO, GSH | no effect | [ |
| 30 PG (62.4 ± 9.6) | |||||
| 30 IG (62.9 ± 10.5) | |||||
| 1000 mg flaxseed oil + 400 IU vitamin E/day, 12 wks, DB | PCOS | 68: | TAC, MDA, GSH | TAC increased (#), MDA decreased (#) | [ |
| 34 PG (26.6 ± 5.6) | |||||
| 34 IG (24.9 ± 5.5) | |||||
| 2x1000 mg/day flaxseed oil ω-3 supplements, 12 wks, DB | PCOS | 60: | NO | no effect | [ |
| 30 PG (27.0 ± 3.2) | |||||
| 30 IG (28.4 ± 6.4) | |||||
| 180 mg EPA, 120 mg DHA, 2 mg vitamin E, 3x/day, 8 wks, DB | Type 2 diabetes | 30: | TBARS, 8-isoP, TRAP, SOD, uric acid | no effect | [ |
| 15 PG (50.5 ± 6.1) | |||||
| 15 IG (50.7 ± 6.7) | |||||
| 400 IU vitamin E, 12 wks, DB | implantation failure | 40: | MDA | MDA lower (*) | [ |
| 20 IG (32.2 ± 2.3) | |||||
| 20 PG (31.5 ± 2.3) | |||||
| 800 IU vitamin E, 12 wks, DB | diabetic nephropathy | 54: | TAC, MDA, NO, GSH, vitamin E | GSH higher (*) | [ |
| 27 PG (64.5 ± 9.2) | |||||
| 27 IG (62.2 ± 9.8) | |||||
| (A) 30 g isolated soy protein + flaxseed oil | wound healing of burn patients | 73: | MDA, SOD | no effect | [ |
| (B) isolated soy protein + corn oil | A 25 (36.8 ± 11.7) | ||||
| (C) wheat flour + corn oil | B 24 (32.5 ± 9.9) | ||||
| 12 wks, DB | C 24 (35.4 ± 10.3) |
All biomarkers measurements in blood (unless otherwise stated); men and women included (unless otherwise stated); PG (placebo group), IG (intervention group). DB (double-blind), SB (single blind), NB (not blinded); only significant results are mentioned. Significant changes are marked by: (*) vs. PG; (+) vs. baseline; (#) vs. baseline and PG.
Supplementation with phytochemicals in patients.
| Intervention | Disease | N (age in years) | Biomarkers | Effect of intervention | Ref. |
|---|---|---|---|---|---|
| 2 capsules 250 mg pomegranate extract/day, 8 wks, DB | rheumatoid arthritis | 55: | GPx, MDA | GPx higher (*) | [ |
| 30 IG (48.4 ± 11.4) | |||||
| 25 PG (49.1 ± 12.2) | |||||
| 100 ml pomegranate juice, 3x/wk, crossover (8 wks IG/PG, 4 wks wash-out, 8 wks IG/PG), NB | HD | 41 (18–65) | TAC, MDA, IL-6, blood pressure | TAC increased, MDA decreased (#) | [ |
| 22 IG | |||||
| 19 PG | |||||
| 300 mg mulberry extract/day, 12 wks, DB | diabetic nephropathy | 60: | TAC, NO, GSH, MDA | IG: NO increased (+), GSH increased (#), MDA decreased (#) | [ |
| 30 IG (63.7 ± 10.8) | |||||
| 30 PG (63.1 ± 9.6) | |||||
| 200 ml agraz (blueberry) nectar daily, crossover (4 wks intervention, 4 wks washout, 4 wks intervention), DB | MetS | 40 women (47 ± 9) | TAC (AC by DPPH), TBARS, urinary 8OHdG, 8-isoP | higher TAC, lower 8OHdG (*) | [ |
| 3 g (=3 capsules) | chronic stable angina pectoris | 73: | MDA, PON1 | MDA lower (*) | [ |
| 35 IG (58.8 ± 8.3) | |||||
| 38 PG (56.5 ± 8.9) | |||||
| Genistein supplementation 2 capsules/day (54 mg), 12 wks, DB | Type 2 diabetes | 54 women (47–69) | TAC, MDA | MDA decreased (+), TAC higher (*) | [ |
| 28 IG | |||||
| 36 PG | |||||
| 2x 500 mg curcumin capsules daily, 12 wks vs. placebo, DB | β-Thalassemia | 61: | TAC, MDA, CAT, vitamin E | MDA decreased (#), TAC increased (+) | [ |
| 31 IG (25.97 ± 6.92) | |||||
| 30 PG (27.61 ± 6.23) | |||||
| 30 mg crocin/day, 4 wks, DB | Multiple sclerosis | 40: | TAC, MDA, total thiols, DNA damage | MDA decreased in PG (+) and IG (#) DNA damage lower in PG and IG (*) | [ |
| 20 IG (29 ± 5) | Total thiols lower only in IG (*) | ||||
| 20 PG (31.5 ± 5.3) | TAC increased in IG (*) | ||||
| 15 mg/day gallic acid, 1 wk, crossover, DB | type 2 diabetes | 19 (66.6 ± 7.5) | MDA, FRAP, oxLDL | oxLDL reduction in IG (+) | [ |
| 2/day, 6 months (303 mg silybin, 10 μg vitamin D, 15 mg vitamin E), 6 months additional follow-up with no intervention vs. healthy control and vs. untreated patients, NB | NAFLD | 90 (18–85) | TBARS | TBARS “improved” by 80% in treated group after 6 months (+); significance is not clear | [ |
| 60 received treatment, 30 did not, vs. 60 healthy controls | |||||
All biomarkers measurements in blood (unless otherwise stated); men and women included (unless otherwise stated); PG (placebo group), IG (intervention group). DB (double-blind), SB (single blind), NB (not blinded); only significant results are mentioned. Significant changes are marked by: (*) vs. PG; (+) vs. baseline; (#) vs. baseline and PG.
Trace and bulk element supplementation in patients.
| Intervention | Disease | N (age in years) | Biomarkers | Effect of intervention | Ref. |
|---|---|---|---|---|---|
| 250 mg magnesium oxide +220 mg ZnSO4 2x/day, 12 wks, DB | PCOS | 60 women (18–40) | TAC, GSH, MDA, NO, PCs | GSH higher (*), PCs lower (*) | [ |
| 30 IG | |||||
| 30 PG | |||||
| 250 mg magnesium oxide + 400 IU vitamin E/day, 12 wks, DB | PCOS | 60 women: | TAC, GSH, MDA, NO | TAC and NO increased (#) | [ |
| 30 IG (26 ± 3.7) | |||||
| 30 PG (27.2 ± 7.1) | |||||
| 100 mg magnesium, 4 mg zinc, 400 mg calcium + 200 IU vitamin D 2x/day, 12 wks, DB | PCOS | 60 women: | TAC, GSH, MDA, NO | MDA lower (*), TAC higher (*) | [ |
| 30 PG (24.8 ± 4.8) | |||||
| 30 IG (23.8 ± 5.7) | |||||
| 200 μg/day chromium, 8 wks, DB | PCOS | 40 women (18–40) | TAC, GSH, MDA | TAC higher (*), MDA lower (*) | [ |
| 200 μg selenium yeast/day, 4 wks, DB | cardiac bypass | 33 women: | TAC, GSH, MDA, NO | GSH higher (*), MDA lower (*) | [ |
| 17 IG (61.2 ± 4.6) | |||||
| 16 PG (62.6 ± 11.6) | |||||
All biomarkers measurements in blood (unless otherwise stated); men and women included (unless otherwise stated); PG (placebo group), IG (intervention group). DB (double-blind), SB (single blind), NB (not blinded); only significant results are mentioned. Significant changes are marked by: (*) vs. PG; (+) vs. baseline; (#) vs. baseline and PG.
Interventions with foodstuffs in healthy participants.
| Intervention | N (age in years) | Biomarkers | Effect of intervention | Ref |
|---|---|---|---|---|
| 450 mg/day green tea extract (GTE) or 450 mg/day sour tea extract (STE) vs. placebo, 6 wks, DB | 18 GTE (20.94 ± 1.43) | TAC, MDA | MDA decreased (#) and TAC increased (#) in both GTE and STE group | [ |
| 18 STE (20.71 ± 1.26) | ||||
| 18 PG (21.19 ± 2.16) | ||||
| 10 g matisha powder, single-dose, NB | 17 men (20–40) | oxLDL | oxLDL reduced until 6 h after intake (+) | [ |
| Antioxidant ice cream with green tea extract, single-dose, SB | 14 (38 ± 3) | FRAP, NOx, H2O2, dROM, polyphenols | FRAP increased, H2O2, dROM decrease 2 h after antioxidant ice cream consumption (+) | [ |
| 200 ml mate tea 3x/day, 7 days vs. control, NB | 9 men (25 ± 3) | GSH/GSSG | Lower GSH (*) | [ |
| 250 mg yerba mate extract 9x/day, 60 d, NB | 14 (age not mentioned) | GSH, GPx, SOD, CAT, PON1, LOOH, TBARS | Improvement in all markers (+) | [ |
| 3 g cardamom powder intake, 12 wks, DB | 40: | TAC, MDA, SOD, PCs, GR | MDA lower (*) | [ |
| 20 IG (48.3 ± 10.4) | ||||
| 20 PG 47.5 ± 10.3) | ||||
| Beetroot juice; 70 ml 2x/day, DB | 20 (60–75) | 3NT, NOx | no effect | [ |
| 480 ml tart cherry juice/day, 12 wks, NB | 37 (65–80) | 8OHdG, MDA, 8-oxoguanine glycosylase, oxLDL, 4-HNE | no effect | [ |
| Cranberry extract beverage 450 ml/day, 8 wks, DB | 78: (43.1 ± 1.1) | GSH/GSSG, GPx, SOD | no effect | [ |
| 38: PG | ||||
| 40: IG | ||||
| 500 mg Aronia extract/day, 12 wks, DB | 49: | oxLDL, CAT, GPx, SOD | no effect | [ |
| 25 IG (32.6 ± 2.6) | ||||
| 24 PG (37.4 ± 3.0) | ||||
| 600 ml berry beverage 3x/day, 5 wks, NB | 40 (63 ± 1) | oxLDL, MDA | no effect | [ |
| Prune essence concentrates 100 ml or 50 ml or 50 ml placebo per day, 4 wks, NB | 60 (18–53): | TAC, TBARS | no effect | [ |
| 20 in each group | ||||
| 750 ml anthocyanin-rich fruit juice, 8 wks, NB | 62 men (20–50) | SOD, CAT, oxLDL, urine anthocyanins | no effect | [ |
| 500 mL of pomegranate juice once before exercise training, NB | 9 (21 ± 1) | MDA, CAT, GPx | Lower MDA, higher CAT GPX (*) | [ |
| 200 g of açai pulp/day, 4 wks, NB | 40 women (24 ± 3) | TAC, MDA, oxLDL, PON1, ROS | oxLDL, MDA decreased, TAC, PON1 increased (+) | [ |
| 500 ml of a fermented orange juice beverage a day, 2 wks, NB | 30 (33.9 ± 6.9) | TAC, ORAC, SOD, GPx, GR (glutathione reductase), GSH, TBARS, oxLDL | ORAC higher (*) | [ |
| Korean black raspberry powder, 30g/day, 2 wks, NB | 102 (30–60) | MDA, GSH/GSSG, erythrocyte: CAT, SOD, GPx | Higher GSH/GSSG ratio in erythrocytes, lower plasma MDA (*) | [ |
| 22 g freeze-dried highbush blueberry powder/day, 8 wks, DB | 40 (45–65) | TBARS, oxLDL, SOD, GPx, GR, 8-isoP, 8OHdG | short-term effect on 8OHdG, reduction after 4 wks intervention but not 8 wks (*) | [ |
| 16.9 g in slowly digestible starch/day, 3 wks, NB | 20 (20–65) | MDA, GSH, urinary isoP | MDA increased, GSH decreased (+) | [ |
| 70 g oat porridge/day, 4 wks, NB | 24 (30–60) | ORAC, FRAP, MDA | increased ORAC and FRAP (+) | [ |
| Wine grape beef burger daily, 1 month, NB | 34 men (25–65) | TRAP, MDA, oxLDL, AOPPs, tocopherols, vitamin C | AOPP, oxLDL lower (*) | [ |
| 90 g raisins/day, 4 wks, NB | 36: | MDA, AOPPs, NO | no effect | [ |
| 14 PG (29.8 ± 1.4) | ||||
| 22 IG (30.8 ± 1.6) | ||||
| 100 mg seaweed/day, 8 wks, DB, crossover | 80 (30–65) | TAC, polyphenols | no effect | [ |
All biomarkers measurements in blood (unless otherwise stated); men and women included (unless otherwise stated); PG (placebo group), IG (intervention group). DB (double-blind), SB (single blind), NB (not blinded); only significant results are mentioned. Significant changes are marked by: (*) vs. PG; (+) vs. baseline; (#) vs. baseline and PG.
Interventions with single supplements or multi-nutrient supplements in healthy participants.
| Intervention | N (age in years) | Biomarkers | Effect of intervention | Ref |
|---|---|---|---|---|
| 60 mg/day anthocyanins or 6 mg lutein | 76 (50–70) | TAC, total polyphenols, vitamin C | TAC increased (+) | [ |
| +2 mg Zeaxanthin/day or both combined, NB | ||||
| 11 mg lycopene, phytoene, and phytofluene/day, 4 wks, DB | 20 | FRAP, oxLDL, 8OHdG, carotenoids | no effect | [ |
| 10 M (36.8 ± 7.0) | ||||
| 10 F (37.9 ± 5.1) | ||||
| Ferulic acid 1000 mg/day, 6 wks, DB | 48: | MDA, oxLDL, dROM, BAP | BAP increased, dROM, MDA, oxLDL decreased (#) | [ |
| 24 PG (45,9 ± 7,8), | ||||
| 24 IG (48.7 ± 7.6) | ||||
| 15 mg hydroxytyrosol from olive extract/day, 3 wks, DB, crossover | 28 (32.0 ± 12.2) | TAC, MDA, nitrite/nitrate, oxLDL, SOD | MDA decreased, nitrite/nitrate decreased, TAC, SOD increased (#) | [ |
| 3.6 g α-linolenic acid + 190 mg Quercetin/day, 8 wks, DB, crossover | 67 (19–35) | retinol, α-tocopherol, β-carotene, oxLDL, flavonols | no effect | [ |
| Eriomin (containing eriocitrin, hesperidin, and naringin) 200/400/800 mg/placebo, once every 2 wks, 12 wks, DB | 103 (49 ± 10) | TAC, MDA | MDA decreased, TAC increased (#) | [ |
| 80 mg curcumin nanomicelle/day, 10 wks, DB | 56: | TAC, MDA | MDA lower, TAC higher (*) | [ |
| 28 IG (30.54 ± 4.03) | ||||
| 85 PG (30 ± 3.96) | ||||
| 1720 mg DHA and 600 mg EPA/day, 18 months, DB | 391: | MDA | no effect | [ |
| 195 IG (73.1 ± 5.4) | ||||
| 196 PG (73.1 ± 5.7) | ||||
| 20 (65–70) | PCs, uric acid, myeloperoxidase, trimethylamine N-oxide | no effect | [ | |
| 11 IG | ||||
| 9 PG | ||||
| Micronutrient pack daily, 3 months, DB | 98 (65–100) | MDA, SOD, GSH | MDA lower TAC, GSH higher (*) | [ |
| Multivitamin/micronutrient supplement Mind Master®, 80 ml/day, 8 wks, DB | 58: | TBARS, GPx, SOD, oxLDL, PCs, urinary isoP, 8OHdG | no effect | [ |
| 28 PG (32.9 ± 5.6) | ||||
| 30 IG (34.9 ± 5.8) | ||||
| Antioxidant supplement before exercise (300 mg of α-lipoic acid, 500 mg vitamin C and 200 IU vitamin E) once, DB, crossover | 19 (25.7 ± 1.2) | TBARS | no effect | [ |