Identification and Sorting of Adipose Inflammatory and Metabolically Activated Macrophages in Diet-Induced Obesity.
Wu D., Rawal K., Eeda V., Lim HY., Wang W.
Animal Study, published in Bio Protoc (2025) — summary generated from the PubMed abstract.
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
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
- Bio Protoc (2025)
- Country
- United States
- Reported sample size
- —
- Source database
- PubMed
- PMID
- 41141634
- PMCID
- PMC12550519
- DOI
- 10.21769/BioProtoc.5479
- Citations
- 1
Abstract (original English)
Adipose tissue macrophages (ATMs) critically influence obesity-induced inflammation and metabolic dysfunction. Recent studies identified distinct ATM subsets characterized by markers such as CD11c, CD9, and Trem2, associated with pro-inflammatory and metabolically activated states. This protocol outlines a detailed, reproducible methodology for isolating, characterizing, and sorting these ATM subsets from murine epididymal white adipose tissue (eWAT) using multicolor flow cytometry. Key steps include stromal vascular fraction (SVF) isolation, immunophenotyping, sequential gating strategies, and fluorescence-activated cell sorting (FACS) for downstream gene expression analysis. The protocol was validated in diet-induced obese (DIO) mice treated with the IRE1 RNase inhibitor STF-083010, demonstrating its utility for studying ATMs in the context of obesity and metabolic disease. Key features • Detailed isolation and identification of multiple ATM subsets from eWAT. • Compatible with comprehensive flow cytometric analyses and fluorescence-activated cell sorting (FACS). • Facilitates downstream gene expression profiling from sorted ATM subsets. • Validated using a metabolic intervention (IRE1 RNase inhibitor STF-083010) in a mouse obesity model.
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.
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