My longitudinal multidisciplinary research is focusing on the early development, growth, reproduction and association of genetic determinants, environmental factors, and epigenetic changes in gametes and somatic cells in the cycle of vulnerable periods of ontogeny including childhood, puberty, young adulthood, and preconception period. Preconception and early factors may determine long-term development (developmental origin of health and disease, DOHaD; paternal origin of health and disease, POHaD). We collected the scientific evidence on individual variability of life-span trajectories, and changes in these trajectories genetically determined and induced by environmental factors and therapeutic interventions. To move away from a “disease care” to “health care” system the community needs to develop high quality predictive models that can estimate future individual risks of diseases based on preconception and early life data. That approach will allow the development of personalized preventive interventions to mitigate the risks of diseases before their onset.

In longitudinal prospective studies over decades (such as Russian Children’s Study), my team collected various biosamples, provided detailed description of phenotypic events, carefully stored and processed biosamples to generate series of data over lifespan including multi-omics-data using high-throughput methods. In particularly, we developed and implemented methods of sampling and procedures of blood, urine, ejaculates, follicular fluids, and their extracellular vesicles (EV) for multi-targeted analysis in epidemiological studies for various molecular markers using a multi-omics scale, including exposome, proteome, methylome, and small non-coding RNA (sncRNA) transcriptome. We have implemented computational techniques such as multivariate regression models and machine learning to analyze associations between various predictors and health outcomes.