Effect of Antioxidants on the Gut Microbiome Profile and Brain Functions: A Review of Randomized Controlled Trial Studies
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Study Selection
2.3. Population
2.4. Primary Outcomes
- (a)
- Endothelial function assessed through flow-mediated dilation (FMD);
- (b)
- Cognitive function measured by a set of specialized tests;
- (c)
- Stress reactivity;
- (d)
- Brain-derived neurotrophic factor (BDNF) levels;
- (e)
- Other biochemical markers, including tryptophan, kynurenine, and the tryptophan/kynurenine ratio.
- (a)
- Inflammatory markers (e.g., IL-1β and IL-10);
- (b)
- Oxidative stress and antioxidant biomarkers, such as cortisol, superoxide dismutase (SOD), malondialdehyde (MDA), and protein carbonyl content (PCC).
- (a)
- Gut microbiome composition and diversity;
- (b)
- Microbiome metabolism and metabolites;
- (c)
- Gut health markers (e.g., short-chain fatty acids, inflammatory markers, enterocyte damage, and bacterial translocation).
2.5. Study Design
2.6. Study Selection and Data Extraction
2.7. Risk-of-Bias Assessment
3. Results
3.1. Risk-of-Bias Assessment
3.2. Study Characteristics and Groupings
3.2.1. General Characteristics of Included Studies
3.2.2. Interventions
3.3. Effects on Cognitive Functions
3.4. Effects on the Gut Microbiome
3.5. Heterogeneity of Studies
4. Discussion
4.1. Summary of Key Findings
4.1.1. General Conclusions from Studies in the Context of Cognitive Functions
4.1.2. General Conclusions from Studies in the Context of the Microbiome
4.2. Critical Evaluation of Study Design and Heterogeneity
- (a)
- Standardization of inclusion criteria: Establishing clear and uniform participant selection criteria, such as specific age ranges, baseline dietary habits, and health conditions, will improve comparability across studies.
- (b)
- Harmonization of methodologies: Adopting standardized tools for microbiome analysis (e.g., sequencing platforms and bioinformatics pipelines) and cognitive assessment protocols will enhance the reliability of results.
- (c)
- Longer intervention and follow-up periods: Extending the duration of studies will allow researchers to assess the persistence and long-term effects of interventions on the gut microbiome and cognitive health.
- (d)
- Larger, more diverse study populations: Increasing sample sizes and including diverse demographic groups will ensure that findings are generalizable to broader populations.
- (e)
- Stratified analyses: Conducting subgroup analyses based on baseline characteristics, such as microbiome composition or oxidative stress levels, will help identify population-specific effects and optimize intervention strategies.
4.3. The Role of Individual Differences
4.4. Research Gaps and Directions for Future RCT Studies
5. Conclusions
- Targeted Supplementation: Antioxidant supplementation should be prioritized for individuals with known oxidative stress, systemic inflammation, or early signs of cognitive impairment. Such populations may benefit most from interventions targeting the gut–brain axis.
- Dietary Integration: Encouraging the inclusion of natural antioxidant-rich foods—such as berries, nuts, and fermented products—can provide a sustainable approach to support gut and cognitive health.
- Monitoring and Personalization: Clinicians should consider monitoring biomarkers of oxidative stress and inflammation to guide personalized supplementation strategies. Tailoring interventions to individual microbiome profiles may improve the outcomes.
- Multidisciplinary Approach: Collaboration between healthcare providers, dietitians, and researchers is essential to integrate these findings into patient care, ensuring evidence-based and individualized recommendations.
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Study | Bias Domain | Overall Bias | ||||
---|---|---|---|---|---|---|
Bias Arising from the Randomization Process | Bias due to Deviations from the Intended Interventions | Bias due to Missing Outcome Data | Bias in Measurement of the Outcome | Bias in Selection of the Reported Result | ||
Wood et al. [29] | low | some concerns | low | some concerns | low | some concerns |
Gillies et al. [30] | low | low | low | some concerns | low | low |
Bolner et al. [31] | low | some concerns | low | low | low | low |
Jamieson et al. [32] | low | low | some concerns | low | low | low |
Pham et al. [33] | low | low | low | low | low | low |
Parilli-Moser et al. [34] | low | some concerns | low | low | low | low |
Parilli-Moser et al. [35] | low | some concerns | low | low | low | low |
Authors | Year | Study Objectives | Microbiome Analysis | Cognitive Function Analysis | Participant Characteristics | Sample Size |
---|---|---|---|---|---|---|
Wood et al. [29] | 2023 | To assess the daily intake of WBB (poly)phenols and its effects on vascular health and cognitive abilities in healthy older adults. | Yes | Yes |
| 66 randomized at baseline (35 in wild blueberry group, 31 placebo); 61 completed. |
Gillies et al. [30] | 2024 | To explore the influence of a 4-week FBB supplement compared to a placebo on brain and mental health markers, biochemical data, and gut microbiota structure and function. To evaluate how initial microbiota composition correlates with outcomes. | Yes | Yes |
| 40 enrolled; 38 completed both intervention phases. |
Bolner et al. [31] | 2023 | (1) To evaluate the effects of FPP on oxidative stress in Parkinson’s disease (PD). (2) To investigate its impact on clinical and gut microbiota parameters in PD patients. | Yes | Yes |
| Total: 39 (19 FPP, 20 placebo). |
Jamieson et al. [32] | 2024 | (1) To assess the impact of an 8-week XN intervention on gut microbiota diversity. (2) To explore how the gut microbiome influences XN metabolism in healthy adults. | Yes | No |
| 30 enrolled; 27 completed (13 placebo, 14 XN). |
Pham et al. [33] | 2021 | To investigate the impact of colon-targeted delivery of vitamins A, B2, C, D, and E on gut microbiota using human trials and in vitro experiments. To study effects on intestinal barrier integrity and immune function. | Yes | No |
| 96 participants. |
Parilli-Moser et al. [34] | 2021 | To assess how regular peanut consumption (skin-roasted peanuts and peanut butter) influences cognitive performance and short-chain fatty acid (SCFA) levels. | Yes | Yes |
| 63 participants (19 men, 44 women). |
Parilli-Moser et al. [35] | 2023 | To extend the 2021 study by investigating the production of microbial phenolic metabolites (MPMs) and the role of gut microbiota in metabolizing peanut-derived polyphenols. | Yes | Yes |
| 63 participants (19 men, 44 women). |
Authors | Intervention Characteristics | Effects on Cognitive Functions | Tests Used to Measure Cognitive Functions | Effects on Microbiome | Duration |
---|---|---|---|---|---|
Wood et al. [29] | Daily intake of 26 g freeze-dried wild blueberry powder (302 mg anthocyanins). | Improved verbal learning and task-switching accuracy (p < 0.05). | Rey’s Auditory Verbal Learning Task (AVLT), Corsi block task, serial 3s and 7s subtraction tasks, task-switching task. | Increased beneficial bacteria (e.g., Ruminiclostridium, Christensenellaceae) with positive correlations to cognitive/vascular benefits. | 12 weeks |
Gillies et al. [30] | 300 mL flavonoid-rich blackcurrant beverage (151 mg anthocyanins, 308 mg total polyphenols, 200 mg L-theanine). | 33% improvement in working memory performance (p < 0.001); reduction in anger/hostility (37%, p = 0.013) and tension/anxiety (20%, p = 0.023). | Purple Multitasking Framework (MTF): arithmetic tasks, Stroop test, letter recall, visual tracking. | No significant changes in gut microbiome composition or diversity observed. | 4 weeks |
Bolner et al. [31] | Fermented papaya preparation (FPP) dietary supplement in a crossover design. | Improvement in cognitive function (MOCA) and quality of life, particularly in Parkinson’s disease patients. | Montreal Cognitive Assessment (MOCA): evaluates memory, attention, executive functions, language, visuospatial abilities, and orientation. | No significant differences in beneficial microbiome changes between FPP and placebo groups. | 6 months |
Jamieson et al. [32] | 24 mg daily xanthohumol (XN) supplementation. | Not analyzed. | Not applicable. | No significant microbiome diversity changes or SCFA production. Certain metabolites observed in specific enterotypes (Prevotella, Ruminococcus). | 8 weeks |
Pham et al. [33] | Daily vitamin supplementation: combinations of A, B2, C, D3, and E. | Not analyzed. | Not applicable. | Combination of B2 + C decreased Proteobacteria and increased Coprococcus while decreasing Sutterella. Firmicutes increase trend observed. | 4 weeks |
Parilli-Moser et al. [34] | Three-arm RCT: skin-roasted peanuts (25 g/day—SRP), peanut butter (32 g/day—PB), control butter (32 g/day—CB). | Improved memory (immediate, verbal, total) in SRP and PB groups correlated with polyphenol intake. | Wechsler Memory Scale (WMS-IV), Wechsler Adult Intelligence Scale (WAIS-III, IV), Trail Making Test (TMT), verbal fluency tests. | Increased SCFA levels (e.g., acetic, butyric acids) in SRP and PB groups. No microbiome changes beyond SCFA observed. | 6 months |
Parilli-Moser et al. [35] | Follow-up to 2021 study: Same intervention groups (SRP, PB, CB). | Significant verbal and overall memory improvement in PB group associated with increased urinary microbial phenolic metabolites (MPMs). | Wechsler Memory Scale (WMS-IV), WAIS-III, IV, TMT, verbal fluency tests, correlation analysis with microbial metabolites. | Higher urinary MPM levels (e.g., hydroxybenzoic acids, enterolignans) in SRP and PB groups compared to CB. | 6 months |
Bacterial Strain | Inflammatory Markers | Tryptophan Production | SCFA Production | Phenolic Metabolites | Product | Study |
---|---|---|---|---|---|---|
Bifidobacterium longum | + | + | + | Not analyzed | Blackcurrant | Gillies et al. [30] |
Bifidobacterium bifidum | + | Not analyzed | + | Not analyzed | Blackcurrant | Gillies et al. [30] |
Bifidobacterium spp. | + | + | + | Not analyzed | Wild blueberry | Wood et al. [29] |
Prevotella, Ruminococcus | + | Not analyzed | + | Not analyzed | Xanthohumol (XN) | Jamieson et al. [32] |
No specific strains | + | Not analyzed | Not analyzed | Not analyzed | Fermented papaya (FPP) | Bolner et al. [31] |
No specific strains | + | Not analyzed | Not analyzed | + | Peanuts | Parilli-Moser et al. [34] |
No specific strains | + | Not analyzed | Not analyzed | + | Peanuts | Parilli-Moser et al. [35] |
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Hyży, A.; Rozenek, H.; Gondek, E.; Jaworski, M. Effect of Antioxidants on the Gut Microbiome Profile and Brain Functions: A Review of Randomized Controlled Trial Studies. Foods 2025, 14, 176. https://doi.org/10.3390/foods14020176
Hyży A, Rozenek H, Gondek E, Jaworski M. Effect of Antioxidants on the Gut Microbiome Profile and Brain Functions: A Review of Randomized Controlled Trial Studies. Foods. 2025; 14(2):176. https://doi.org/10.3390/foods14020176
Chicago/Turabian StyleHyży, Aleksandra, Hanna Rozenek, Ewa Gondek, and Mariusz Jaworski. 2025. "Effect of Antioxidants on the Gut Microbiome Profile and Brain Functions: A Review of Randomized Controlled Trial Studies" Foods 14, no. 2: 176. https://doi.org/10.3390/foods14020176
APA StyleHyży, A., Rozenek, H., Gondek, E., & Jaworski, M. (2025). Effect of Antioxidants on the Gut Microbiome Profile and Brain Functions: A Review of Randomized Controlled Trial Studies. Foods, 14(2), 176. https://doi.org/10.3390/foods14020176