Kirsi Hannele Pietiläinen

This study examines how NR supplementation and HIIT affect skeletal muscle epigenetic aging, finding opposing effects on epigenetic age acceleration across different clocks.

The paper develops an in vitro model of human subcutaneous adipocyte spheroids to study mitochondrial dysfunction and test mitochondria-activating compounds in obesity.

The paper characterizes the epigenomic and 3D genomic landscape of human subcutaneous adipose tissue at the cell-type level and links epigenomic variation to abdominal obesity risk.

This study uses longitudinal single-cell adipose transcriptomics to identify genes and variants associated with weight loss after bariatric surgery and shows that BMI polygenic risk scores predict weight loss outcomes.

The paper identifies a locus, SH3BP4, where DNA methylation correlates with mtDNAq and obesity-related traits in adipose tissue, suggesting potential causal relationships.

The paper shows that mesenchymal Asporin mediates fetal-like reprogramming in regenerating intestinal epithelium by modulating Tgfβ signaling through CD44.

The paper integrates single-cell omics with biobank data to show SREBF1 risk variants affect adipocyte gene expression in trans, impacting abdominal obesity.

This study integrates multi-OMIC data from 12 cohorts to identify exercise-specific molecular signatures and gene regulatory patterns in human skeletal muscle.

This study shows exercise training reduces epigenetic and transcriptomic aging in human skeletal muscle, while muscle disuse accelerates transcriptomic aging.

The paper examines the association between BMI and epigenetic aging in twin pairs, finding BMI increases are linked to accelerated epigenetic age using GrimAge.

The paper introduces DIEM, a semi-supervised machine learning classifier to remove debris-contaminated droplets in snRNA-seq, improving clustering quality across three datasets.

The paper identifies SNPs with sex-specific effects on lung function traits using UK Biobank data, finding a significant interaction at rs7697189 near HHIP.

Bisque estimates cell composition in bulk RNA-seq using single-cell data, improving accuracy and efficiency over existing methods.

This study identifies genetic variants associated with specific fat depot masses using exome-wide analysis in large cohorts, revealing distinct genetic regulation of different fat depots.

This study identifies smoking-associated DNA methylation and gene expression changes in adipose tissue and links some to cardio-metabolic health outcomes.