Maja Olecka

ORCID: 0000-0003-0353-0368
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About
Contact & Profiles
Research Areas
  • Circadian rhythm and melatonin
  • Metabolism and Genetic Disorders
  • Cardiovascular Function and Risk Factors
  • Machine Learning in Bioinformatics
  • Glycosylation and Glycoproteins Research
  • Birth, Development, and Health
  • Gene Regulatory Network Analysis
  • Ubiquitin and proteasome pathways
  • Cardiovascular Disease and Adiposity
  • RNA modifications and cancer
  • Genomics and Chromatin Dynamics
  • Epigenetics and DNA Methylation
  • Folate and B Vitamins Research
  • Metabolomics and Mass Spectrometry Studies
  • Genetics, Aging, and Longevity in Model Organisms

Leibniz Institute on Aging - Fritz Lipmann Institute (FLI)
2018-2025

Max Delbrück Center
2019

Abstract Although DNA methylation data yields highly accurate age predictors, little is known about the dynamics of this quintessential epigenomic biomarker during lifespan. To narrow gap, we investigate trajectories male mouse colon at five different time points aging. Our study indicates existence sudden hypermethylation events specific stages life. Precisely, identify two switches early-to-midlife (3-9 months) and mid-to-late-life (15-24 transitions, separating rodents’ life into three...

10.1038/s41467-024-47316-2 article EN cc-by Nature Communications 2024-04-09

Abstract Machine learning has emerged as a valuable tool in precision medicine and aging research. Here, we introduce the autonomic age gap , novel metric quantifying individual deviation between machine-learning–estimated biological chronological age, based on nervous system function. We collected high-resolution electrocardiograms continuous blood pressure recordings at rest from 1,012 healthy individuals. From these signals, 29 indices were extracted, encompassing time-, frequency-,...

10.1101/2025.04.16.25325919 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2025-04-17

Cardiovascular disease is one of the leading causes death in developed countries. Because incidence increases exponentially aging population, a major risk factor for cardiovascular disease. Cardiac hypertrophy, fibrosis and inflammation are typical hallmarks aged heart. The molecular mechanisms, however, poorly understood. glycosylation most common post-translational protein modifications can affect biological properties functions proteins, we here provide first analysis cardiac...

10.3389/fmolb.2021.673044 article EN cc-by Frontiers in Molecular Biosciences 2021-05-28

Abstract Diet composition impacts metabolic and cardiovascular health with high caloric diets contributing to obesity related disorders. Dietary interventions such as restriction exert beneficial effects in the system, but alteration of which specific nutrient is responsible less clear. This study investigates a low protein diet (LPD) on morphology, tissue function neonatal adult mouse heart. Mice were subjected LPD (8.8% protein) or standard (SPD, 22% throughout intrauterine postnatal life....

10.1038/s41598-019-51654-3 article EN cc-by Scientific Reports 2019-10-22
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