Level D· Scientific groundwork from lab and animal studiesAnimal StudyEurope PMCOpen access

T-Cell Signaling Pathways, Including Exhaustion, Predominate in Unhealthy Visceral and Subcutaneous Adipose Tissues

Puppala S., Hamann AR., Stevens CM., Ruggiero A., Cox LA., Kavanagh K.

Animal Study, published in Obesity (Silver Spring) (2026) — 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
Animal Study
Journal
Obesity (Silver Spring) (2026)
Reported sample size
—
Source database
Europe PMC
PMID
41603630
PMCID
PMC12933232
DOI
10.1002/oby.70133

Abstract (original English)

Objective Obesity is an imperfect correlate of metabolic health. Visceral adipose tissue (VAT) characteristics are considered determinants of poor health and subcutaneous adipose tissue (SAT) considered protective. There is a gap in knowledge regarding shared vs. unique SAT and VAT function across the metabolic syndrome (MetS) spectrum. Methods We quantified SAT and VAT transcriptomes in a nonhuman primate model of MetS. We calculated quantitative MetS risk scores using composite factors, applied unbiased clustering methods (weighted gene correlation network analysis) to identify transcripts that correlated with MetS risk scores, and performed pathway enrichment analysis. Results We found convergence in SAT and VAT on T-cell signaling genes and pathways, with T-cell exhaustion signaling prominent. Pathways unique to VAT highlighted interferon signaling and innate/adaptive immune cross talk in response to pathogens. Pathways unique to SAT included innate immune cell signaling, centered on vascular involvement. Although molecular signatures highlight T-cell signaling, T-cell abundance in VAT was unrelated to MetS scores. Conclusions T-cell signaling and exhaustion predominate in metabolically unhealthy adaptations of both SAT and VAT. This novel handling of transcript data using an unbiased clustering approach and the creation of continuous MetS scores lead to new insights regard

What this study does not prove

  • • This study does not prove SVF is an approved treatment or a replacement for standard care.
  • • This is preclinical work; animal or laboratory results cannot be applied to humans.

Evidence level

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

How we grade evidence
T-LymphocytesAnimalsObesityDisease Models, AnimalSignal TransductionMaleSubcutaneous FatIntra-Abdominal FatTranscriptomeMetabolic Syndrome

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