ArticleObesity (Silver Spring, Md.)2025
Optimized RNA sequencing deconvolution illustrates the impact of obesity and weight loss on cell composition of human adipose tissue.
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 8 papers.
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8 citing papers in PubMed.
- Impaired adipogenesis and lipid storage capacity in subcutaneous adipose tissue of patients with PMOS.JCI insight · 2026Article
- ADAR1 Controls Macrophage Scavenging and Lipid-Buffering Programs in Metabolic Tissues.European journal of immunology · 2026Article
- Multi-omic responses to acute exercise in abdominal subcutaneous adipose tissue of sedentary adults: findings from MoTrPAC.bioRxiv : the preprint server for biology · 2026Article
- A full-length single nuclei transcriptomic atlas of human skeletal muscle insulin resistance.bioRxiv : the preprint server for biology · 2026Article
- Transcriptome changes in overweight neutered female dogs undergoing a weight loss program with or without Spirulina (Arthrospira platensis) supplementation.BMC veterinary research · 2026Article
- Article
- Molecular responses in abdominal subcutaneous adipose tissue after a session of endurance exercise: effects of exercise intensity.The Journal of physiology · 2025Article
- Acute session of three endurance exercise intensities alters subcutaneous adipose tissue transcriptome in regular exercisers.bioRxiv : the preprint server for biology · 2025Article
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Abstract
objectiveCellular heterogeneity of human adipose tissue is linked to the pathophysiology of obesity and may impact the response to energy restriction and changes in fat mass. Herein, we provide an optimized pipeline to estimate cellular composition in human abdominal subcutaneous adipose tissue (ASAT) bulk RNA sequencing (RNA-seq) datasets using a single-nuclei RNA-seq signature matrix.
methodsA deconvolution pipeline for ASAT was optimized by benchmarking publicly available algorithms using a signature matrix derived from ASAT single-nuclei RNA-seq data from 20 adults and then applied to estimate ASAT cell-type proportions in publicly available obesity and weight loss studies.
resultsIndividuals with obesity had greater proportions of macrophages and lower proportions of adipocyte subpopulations and vascular cells compared with lean individuals. Two months of diet-induced weight loss increased the estimated proportions of macrophages; however, 2 years of diet-induced weight loss reduced the estimated proportions of macrophages, thereby suggesting a biphasic nature of cellular remodeling of ASAT during weight loss.
conclusionsOur optimized high-throughput pipeline facilitates the assessment of composition changes of highly characterized cell types in large numbers of ASAT samples using low-cost bulk RNA-seq. Our data reveal novel changes in cellular heterogeneity and its association with cardiometabolic health in humans with obesity and following weight loss.
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