ArticleObesity (Silver Spring, Md.)2025
Lipid-associated macrophages are more abundant in subcutaneous than visceral adipose tissue in patients with obesity.
Article in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- Trial
- Lipid-associated macrophages and metabolic inflammatory diseases.Cell insight · 2026Review
- Obesity and Cancer: From Systemic Metabolic Reprogramming to Immunotherapy Paradox.Metabolites · 2026Review
- From bench to bedside: adipose tissue fibrosis in obesity, anti-diabetic therapies, and bariatric surgery.The Korean journal of internal medicine · 2026Review
- Adipose-Tissue Macrophage Diversity and Functions.International journal of molecular sciences · 2026Review
- Lipid-Associated Macrophages in Obesity: Immunometabolic Programs and Emerging Therapeutic Implications-A Narrative Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- Lipid-associated macrophages are more abundant in subcutaneous than visceral adipose tissue in patients with obesity.Obesity (Silver Spring, Md.) · 2025Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
objectiveBecause white adipose tissue is infiltrated by several immune cells and their signature in individuals with obesity has not been fully characterized, we wanted to study the most abundant population, which is macrophages, a subtype of myeloid cell.
methodsTo address this objective, we performed transcriptomic analysis of subcutaneous adipose tissue (SAT)- and visceral adipose tissue (VAT)-infiltrated CD11b
resultsOur results showed that gene expression in human white adipose tissue-infiltrated CD11b
conclusionsThis study characterizes for the first time the macrophage biomarker signature in human VAT- and SAT-infiltrated CD11b
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.