Level D· Scientific groundwork from lab and animal studiesNarrative ReviewEurope PMCOpen access

Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data

Tarbeeva S., Kliuchnikova A., Kozlova A., Sarygina E., Ilgisonis E., Ponomarenko E.

Narrative Review on Type 2 Diabetes, published in Int J Mol Sci (2025) — summary generated from the PubMed abstract.

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Level D· Scientific groundwork from lab and animal studiesEvidence level of this study

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

  • Level A · Stronger Clinical Evidence
  • Level B · Emerging clinical evidence with positive signals
  • Level C · Early human research exploring benefits
  • Level D · Scientific groundwork from lab and animal studies
  • Emerging · Emerging topic under active research
Read the A–D evidence level guide

This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.

Study type
Narrative Review
Journal
Int J Mol Sci (2025)
Reported sample size
—
Source database
Europe PMC
PMID
41303351
PMCID
PMC12652754
DOI
10.3390/ijms262210864
Citations
1

Abstract (original English)

Omics approaches have advanced insight into molecular mechanisms of human obesity. We reviewed transcriptomic studies published between January 2020 and June 2025 that used human tissues or human cell lines and applied high-throughput RNA methods. Across these works three convergent themes emerged: (1) immune-inflammatory activation-particularly interferon-stimulated and innate immune signatures-linked to insulin resistance and visceral adiposity; (2) dysregulation of lipid and energy-metabolism pathways, including reduced lipolysis and β-oxidation in adipose tissue and liver; and (3) epigenetic and post-transcriptional regulation mediated by DNA methylation, histone modification, long noncoding RNAs, microRNAs and circular RNAs. Multi-omics integration (transcriptome with proteome, metabolome and microbiome) improved mechanistic interpretation and biomarker discovery but was limited by cohort heterogeneity and technical variation. We conclude that standardized, integrative multi-omics analyses in well-characterized, longitudinal human cohorts are required to translate molecular signatures into robust biomarkers and personalized therapeutic strategies for obesity.

What this study does not prove

  • • This study does not prove SVF is an approved treatment or a replacement for standard care.
  • • This is a narrative review: it collects no new patient data and does not systematically appraise evidence quality.

Evidence level

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

How we grade evidence
AnimalsHumansInsulin ResistanceObesityGene Expression ProfilingEpigenesis, GeneticEnergy MetabolismLipid MetabolismTranscriptomeRNA, Long Noncoding

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