Scientists from an Institute of Biomedical Chemistry have announced a new approach to assessing human health by mapping an individual deviation from a baseline molecular portrait of wellness. The researchers describe this as a personalized health fingerprint derived from comprehensive molecular analysis, aiming to identify early signals of potential health changes before illness becomes evident.
Central to this advancement is a unique analytical platform capable of examining biological systems at the level of single molecules. By performing a meta-analysis of human plasma, the team established a reference set of standards intended to support health assessment and monitoring. The study focused on a subset of proteins within the stable portion of the human proteome, the collection of proteins continuously expressed by cells, tissues, and organisms over time. In total, 53 proteins were highlighted from a larger pool of 296 as representative anchors for a healthy baseline.
According to the researchers, this work effectively creates a proteomic signature of health, a reference framework that can function as an early warning system. This framework can guide individuals to adjust lifestyle choices, nutrition, and other factors to help mitigate disease risk and promote long-term well-being.
The approach is not limited to detecting the presence of proteins in biological samples; it also measures their precise abundances, which can be critical for informed medical decisions. Compared with conventional antibody-based techniques commonly used in clinical diagnostics, such as immunoassays, this new method demonstrates higher accuracy and the potential to flag disease processes at a much earlier stage. The experience gained from this project is anticipated to inform the development of next-generation diagnostic systems produced domestically for clinical use.
In explaining the method, a leading scientist notes that the similarity between an individual’s portrait and the general portrait is quantified with mathematical algorithms. The resulting analysis yields practical recommendations tailored to the person’s unique characteristics, supporting proactive health management and personalized lifestyle planning.