# Effect of a Nutraceutical Combination on Oxidative Stress Biomarkers in Healthy Subjects and Patients with Alzheimer’s Disease

**Authors:** Rafał Jastrząb, Andrzej Małecki, Elżbieta Kmiecik-Małecka, Agnieszka Gorzkowska, Kamil Kubas, Justyna Widłak-Kargul, Damian Wolman, Katarzyna Matkiewicz, Marta Nowacka-Chmielewska, Daniela Liśkiewicz, Konstancja Grabowska, Mateusz Grabowski, Natalia Pondel, Gabriela Początek, Gabriela Kłodowska, Jennifer Mytych

PMC · DOI: 10.3390/nu18050789 · Nutrients · 2026-02-27

## TL;DR

A nutraceutical blend reduced oxidative stress biomarkers in healthy older adults and Alzheimer's patients, with specific effects on a glycation marker in Alzheimer's patients.

## Contribution

A novel anti-glycation blend was developed and tested for its impact on oxidative stress and glycation biomarkers in humans.

## Key findings

- Serum MDA decreased significantly in older healthy adults after anti-AGE supplementation.
- Urinary CML decreased in Alzheimer's patients following supplementation, but not in healthy adults.
- Post-intervention MDA levels were lower in the anti-AGE group than placebo in Alzheimer's patients.

## Abstract

Background/Objectives: Advanced glycation end products (AGEs) and oxidative stress increase with aging and are implicated in Alzheimer’s disease (AD). We developed an anti-glycation blend using LC-MS-based screening and assessed its effects on oxidative and glycation-related biomarkers in humans. Methods: Twelve candidate compounds were screened in a BSA–glucose model using LC-MS peptide mapping to quantify lysine glycation and rank inhibitory activity. The top candidates were combined into a three-compound blend (quercetin, rutin, genistein). In a randomized, double-blind, placebo-controlled 3-month trial, older healthy adults (n = 30) and individuals with AD (n = 30) received anti-AGE blend (n = 15 in older group and n = 15 in AD group) or placebo (n = 15 in older group and n = 15 in AD group). Serum malondialdehyde and urinary Nε-(carboxymethyl)lysine were measured pre–post intervention. Pre/post and between-arm comparisons within each population were performed using REML ANOVA with Tukey post hoc tests. Serum MDA (malondialdehyde) and urinary CML (Nε-(carboxymethyl)lysine) were prespecified biomarker outcomes and are reported here as co-primary biomarker endpoints. No formal a priori sample size calculation was performed; the study size was feasibility-based. Results: LC-MS screening identified genistein, quercetin, and rutin as the most consistent inhibitors of glucose-driven BSA glycation. In older healthy adults, serum MDA decreased after anti-AGE supplementation (p < 0.001) and differed from the placebo (p < 0.01), while no change was observed within the placebo group (ns). In the AD cohort, MDA did not change significantly from baseline within either arm (ns), but post-intervention MDA was lower in anti-AGE than in the placebo (p < 0.05). Urinary CML was unchanged in older healthy adults (ns in both arms), whereas in AD, it decreased after anti-AGE supplementation (p < 0.01) and differed from the placebo (p < 0.05). Conclusions: A screening-guided anti-glycation blend supplementation was associated with changes in selected biomarkers in humans: MDA decreased across cohorts, while CML decreased selectively in AD. Larger trials with extended biomarker panels and LC–MS/MS confirmation are warranted.

## Linked entities

- **Chemicals:** quercetin (PubChem CID 5280343), rutin (PubChem CID 5280805), genistein (PubChem CID 5280961), malondialdehyde (PubChem CID 10964)
- **Diseases:** Alzheimer’s disease (MONDO:0004975)

## Full-text entities

- **Genes:** RENBP (renin binding protein) [NCBI Gene 5973] {aka RBP, RNBP}
- **Diseases:** AD (MESH:D000544), CML (MESH:D015464)
- **Chemicals:** genistein (MESH:D019833), MDA (MESH:D008315), quercetin (MESH:D011794), glucose (MESH:D005947), rutin (MESH:D012431), CML (MESH:C048496), lysine (MESH:D008239), peptide (MESH:D010455)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12986708/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12986708/full.md

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Source: https://tomesphere.com/paper/PMC12986708