Objectives: The main aim of this study was to investigate the role of carbonylation in ageing and its role as biomarker for estimation of age. Materials and methods: The data from the 10.001 Dalmatians biobank were used, focusing on the 50 healthy subjects from the island of Korčula. One-dimensional carbonylation of plasma was measured, using HPLC. The results were correlated to a number of available variables from this dataset. Results: The results of this study suggest that carbonylation is linked to chronological age, but that it has limited power in individual age prediction (Spearman rank: P=0.046, r=0.283, Pearson’s correlation: P=0.006, r=0.381). Furthermore, carbonylation values were more diverse in elderly than the young men, the percent of variance explained was 15.3%. Similar to men, carbonylation values are lower in younger women, but show a stronger erratic pattern of carbonylation in elderly women, explained with a variance of 14.7%. Additionally, there is correlation between high levels of carbonylation and Pulse Wave Velocity and the Augmentation Index. A higher and therefore more unfavorable level of PWV and AI correlate with higher carbonylation and older age (PWV: P=0.031, r=0.305, AI: P=0.042, r=0.289). Last but not least, an increased level of carbonylation is associated with a worse performance in the Raven Standard Progressive Matrices test (P=0.054, r=-0.289). Conclusion: Carbonylation correlates chronological age, but either larger sample sizes or the use of two-dimensional carbonylation is required before individual age prediction can be more reliable.