This study will determine reference genomic, transcriptomic, proteomic and metabolomic profiles in Czech population. Initially, there will be 1000 healthy volunteers, with the planned expansion to 10.000 participants (healthy volunteers and patients with different types of disease). Formation of the reference database of healthy volunteers and their parameters will allow a correct interpretation of the potential pathological findings in patients. It is very important to obtain healthy controls from the region of the Czech Republic, Central Europe respectively; since it is not possible to reliably compere ethnically and geographically diverse populations, which have generated in a different context and where the diseases manifest with other etiology ad phenotype. Although, in the limited measure, the similar molecular data exist in foreign databases, these are not compiled from the inhabitants of the Czech Republic, Central Europe not even from Slavic population. Study participants may volunteer for archiving of remaining biological materials for future studies.
MethAge, an epigenetic age prediction model was developed, tested and validated. The chronological age was predicted, and samples with high error were used for searching for markers of accelerated/decelerated ageing.
The expression levels of the aging-associated biomarkers p16 and p21 were quantified to evaluate their correlation with the chronological age of the studied individuals.
Sensitive massively parallel sequencing of 38 genes for assessing clonal hematopoiesis of indeterminate potential (CHIP) in blood samples was done. CHIP somatic variants have been connected to normal aging, blood cancer development, and chronic inflammatory conditions, such as cardiovascular diseases.
Raman spectra of 2 microliters of dried plasma sample, deposited on CaF_2 substrate were measured. The excitation laser had a wavelength of 532 nm, the laser power on the sample was set to 1 mW, and the exposure time was set to 1s. Each spectrum is an average of 28 measurements. The present dataset contains RAW spectral data without any pre-processing or data smoothing.