Publications by authors named "Bulat Yalaev"
Article Synopsis
- The study explores how specific DNA markers related to microRNAs can provide insights into primary osteoporosis, particularly focusing on epigenetic regulation mechanisms.
- Researchers analyzed genetic variants in a cohort of 1,177 individuals from the Volga-Ural region of Russia, looking for connections between these variants and osteoporosis.
- The findings revealed various genetic markers associated with osteoporotic fractures and low bone mineral density, with notable differences based on ethnicity and sex, leading to the development of predictive models for osteoporosis, particularly effective in women.
The search for the molecular markers of osteoporosis (OP), based on the analysis of differential deoxyribonucleic acid (DNA) methylation in bone cells and peripheral blood cells, is promising for developments in the field of the early diagnosis and targeted therapy of the disease. The Runt-related transcription factor 2 () gene is one of the key genes of bone metabolism, which is of interest in the search for epigenetic signatures and aberrations associated with the risk of developing OP. Based on pyrosequencing, the analysis of the methylation profile from a pool of peripheral blood cells in men and women over 50 years of age of Russian ethnicity from the Volga-Ural region of Russia was carried out.
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- Omics technologies have generated a vast amount of data, enhancing our understanding of type 1 diabetes mellitus (T1DM) and highlighting challenges in moving toward personalized treatment approaches.
- Key issues identified include the clinical and genetic variability of T1DM, the importance of DNA markers, and differences in risk among various ethnic populations.
- This review focuses on organizing modern research findings in molecular genetics and epigenetics related to T1DM, including the role of risk haplotypes, DNA methylation, and microRNAs, aiming to improve early diagnosis and treatment strategies.
Osteoporosis (OP) is a multifactorial bone disease belonging to the metabolic osteopathies group. Using the polygenic score (PGS) approach, we combined the effects of bone mineral density (BMD) DNA loci, affecting osteoporosis pathogenesis, based on GEFOS/GENOMOS consortium GWAS meta-analysis. We developed models to predict the risk of low fractures in women from the Volga-Ural region of Russia with efficacy of 74% (AUC = 0.
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