Igor Yusipov

EpImAge: An Epigenetic-Immune Clock for Disease-Associated Biological Aging

EpImAge combines epigenetic and immunological markers to predict biological age with high accuracy, showing sensitivity to multiple diseases.

Map of epigenetic age acceleration: a worldwide meta-analysis

This study performs a meta-analysis of epigenetic age acceleration across 93 datasets and 23K samples, highlighting geographic, ethnic, and gender differences in aging rates.

Small immunological clocks identified by Deep Learning and Gradient Boosting

The paper develops a small immunological age clock model called SImAge using 10 biomarkers, achieving high accuracy with a deep neural network.

Epigenetic features of far northern Yakutian population

This study examines epigenetic age acceleration and adaptation mechanisms in the Yakutian population using DNA methylation data, finding higher age acceleration and region-specific methylation patterns related to climate adaptation and aging.

Accelerated epigenetic aging and inflammatory/immunological profile (ipAGE) in patients with chronic kidney disease

This study shows CKD patients have accelerated aging linked to inflammation, using DNA methylation and protein biomarkers.

Disease classification for whole blood DNA methylation: meta-analysis, missing values imputation, and XAI

The paper presents a method for classifying healthy individuals and patients using whole blood DNA methylation data, including data harmonization, imputation, and XAI for model explanation.

A meta-analysis of brain DNA methylation across sex, age and Alzheimer's disease points for accelerated epigenetic aging in neurodegeneration

This study identifies age-associated DNA methylation changes in Alzheimer's disease, showing accelerated epigenetic aging but no significant sex interaction.

Age-related DNA methylation changes are sex-specific: a comprehensive assessment

The paper assesses sex-specific DNA methylation changes with aging using whole blood datasets, finding 43% of sex-associated probes show age-related methylation changes and higher methylation variability in males.