Related Experiment Video
Updated: Jan 10, 2026
14:56
Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
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Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data
Svetlana Tarbeeva1, Anna Kliuchnikova1, Anna Kozlova1
1Institute of Biomedical Chemistry, 119121 Moscow, Russia.
International Journal of Molecular Sciences
|November 27, 2025
Summary
Recent omics studies reveal key molecular drivers of human obesity, including immune activation and metabolic dysregulation. Integrative analyses are crucial for developing personalized obesity treatments.
Area of Science:
- Molecular Biology
- Genomics
- Metabolomics
Background:
- Human obesity is a complex condition with multifaceted molecular underpinnings.
- Omics technologies offer powerful tools for dissecting these molecular mechanisms.
Purpose of the Study:
- To review transcriptomic studies on human obesity published between January 2020 and June 2025.
- To identify convergent molecular themes and assess the utility of multi-omics integration.
Main Methods:
- Systematic review of high-throughput RNA sequencing studies using human tissues or cell lines.
- Analysis of three convergent themes: immune-inflammatory activation, metabolic pathway dysregulation, and epigenetic/post-transcriptional regulation.
- Evaluation of multi-omics integration approaches.
Main Results:
- Identified immune-inflammatory activation (interferon-stimulated genes, innate immunity) linked to insulin resistance and visceral adiposity.
- Observed dysregulation in lipid and energy metabolism, including reduced lipolysis and beta-oxidation.
- Highlighted epigenetic modifications (DNA methylation, histone modification) and noncoding RNAs (lncRNAs, miRNAs, circRNAs) involvement.
- Multi-omics integration showed promise for mechanistic insights and biomarker discovery but faced challenges from cohort heterogeneity and technical variability.
Conclusions:
- Standardized, integrative multi-omics analyses in well-characterized, longitudinal human cohorts are essential.
- Translating molecular signatures into robust biomarkers and personalized therapeutic strategies for obesity requires further research.
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