Associations between Specific Redox Biomarkers and Age in a Large European Cohort: The MARK‐AGE Project
Open accessAbstract
Oxidative stress and antioxidants play a role in age‐related diseases and in the aging process. We here present data on protein carbonyls, 3‐nitrotyrosine, malondialdehyde, and cellular and plasma antioxidants (glutathione, cysteine, ascorbic acid, uric acid, α‐tocopherol, and lycopene) and their relation with age in the European multicenter study MARK‐AGE. To avoid confounding, only data from countries which recruited subjects from all three study groups (five of eight centers) and only participants aged ≥55 years were selected resulting in data from 1559 participants. These included subjects from (1) the general population, (2) members from long‐living families, and (3) their spouses. In addition, 683 middle‐aged reference participants (35–54 years) served as a control. After adjustment for age, BMI, smoking status, gender, and country, there were differences in protein carbonyls, malondialdehyde, 3‐nitrotyrosine, α‐tocopherol, cysteine, and glutathione between the 3 study groups. Protein carbonyls and 3‐nitrotyrosine as well as cysteine, uric acid, and lycopene were identified as independent biomarkers with the highest correlation with age. Interestingly, from all antioxidants measured, only lycopene was lower in all aged groups and from the oxidative stress biomarkers, only 3‐nitrotyrosine was increased in the descendants from long‐living families compared to the middle‐aged control group. We conclude that both lifestyle and genetics may be important contributors to redox biomarkers in an aging population.
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In two of three MARK-AGE cohorts, no differences in 3-NT were found between age groups.
“Two of three cohorts showed no differences between the age groups,”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [194]
The Discussion (page unavailable) says there might have been no dramatic difference in 3-nitrotyrosine across age groups, and the Results (page unavailable) report that only GO had higher 3-nitrotyrosine than the middle-aged reference group. Neither passage establishes the claimed finding specifically for age-group comparisons within two of the three MARK-AGE cohorts. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIn the RASIG group of the MARK-AGE study, there is a positive correlation between 3-NT levels and age (plasma, ELISA).
“Positive correlation between 3-NT levels and age in RASIG group”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [194]
The Results report a positive correlation between 3-nitrotyrosine and age, and Methods §2.5 identifies plasma ELISA as the measurement method. The Results do not specify that this age correlation was found within the RASIG group; the statement about similar RASIG correlations refers to correlations among biomarkers, not with age. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredWeber et al. found no correlation between protein carbonyls and aging in two of three cohorts from the European MARK-AGE study.
“Weber et al. found no correlation between protein carbonyls and aging in two of three cohorts from the European MARK-AGE study”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [194]
In the MARK-AGE project groups (RASIG n = 794, GO n = 493, SGO n = 272), plasma MDA levels show no correlation with age across the four age groups (55-59, 60-64, 65-69, and 70-75 years), as measured by RP-HPLC.
“| Aging | Plasma | 3 study groups from MARK-AGE project:RASIG (n = 794), GO (n = 493), SGO(n = 272)Participants divided in 4 groups:55-59, 60–64, 65–69 and 70–75 years | RP-HPLC | No correlation in all groups between MDA levels and age | [194] |”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [194]
In the MARK-AGE study, two of three cohorts showed no differences in 3-NT levels between age groups.
“Two of three cohorts showed no differences between the age groups”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [194]
In the GO and SGO groups of the MARK-AGE study, there is no correlation between 3-NT levels and age (plasma, ELISA).
“No correlation in GO and SGO groups between 3-NT levels and age”
From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [194]
The Results report a significant positive correlation between 3-nitrotyrosine and age across participants, but do not give separate age correlations for GO and SGO. The Discussion’s statement that correlation was observed only in RASIG concerns protein carbonyls, not 3-nitrotyrosine. The subgroup-specific claim therefore cannot be verified from our copy. (LLM, conf=0.72)
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References 51 · Cited by 46
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- Authors
- Weber, D., Stuetz, W., Toussaint, O., Debacq-Chainiaux, F., Dollé, M. E. T., Jansen, E., Gonos, E. S., Franceschi, C., Sikora, E., Hervonen, A., Breusing, N., Sindlinger, T., Moreno-Villanueva, M., Bürkle, A., & Grune, T.
- Affiliations
- German Institute of Human Nutrition (DE)
- University of Hohenheim (DE)
- University of Namur (BE)
- National Institute for Public Health and the Environment (NL)
- National Hellenic Research Foundation (GR)
- University of Bologna (IT)
- Instytut Biologii Doświadczalnej im. Marcelego Nenckiego (PL)
- University of Tampere (FI)
- University of Konstanz (DE)
- German Centre for Cardiovascular Research (DE)
- Corresponding author
- Weber, Daniela
- ORCID
- Venue
- Oxidative Medicine and Cellular Longevity
- Publisher
- Wiley
- Published
- 2017-01
- Volume
- 2017
- Issue
- 1
- Pages
- 1401452-1401452
- ISSN
- 1942-0994 (ISSN-L)
- 1942-0900
- PMC
- PMC5539926
- OpenAlex
- W2736518260
- Cited by
- 46
- References
- 51
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 3 · 2021: 8 · 2020: 5 · 2019: 7 · 2018: 6 · 2017: 1
- FWCI
- 3.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Oxidative Medicine and Cellular Longevity (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repository of the University of Namur (publishedVersion, cc-by)
- Tampere University Institutional Repository (Tampere University) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- National Hellenic Research Foundation Helios Repository (National Hellenic Research Foundation) (submittedVersion)
- KOPS (University of Konstanz) (submittedVersion, cc-by)
- Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion)
- Tampere University Institutional Repository (Tampere University) (submittedVersion, cc-by)
- Funders
- Seventh Framework Programme (200880)
- Topics
- Health Sciences › Medicine › Biochemistry › Antioxidant Activity and Oxidative Stress
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Redox biology and oxidative stress
- Keywords
- redox biomarkers, aging, oxidative stress, antioxidants, protein carbonyls, nitrotyrosine, malondialdehyde, glutathione, cysteine, uric acid, lycopene, alpha-tocopherol, vitamin C, age-related diseases
- MeSH terms
- Lycopene, Adult, Antioxidants, Ascorbic Acid, Carotenoids, Female, Glutathione, Humans, Male, Malondialdehyde, Middle Aged, Oxidation-Reduction, Tyrosine, Uric Acid, Lipid Peroxidation, Biomarkers, Oxidative Stress, alpha-Tocopherol
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