Quantitative lipidomic analysis reveals distinct metabolic traits between stromal cell subpopulations in human orbital adipose tissue

Adipose tissue, a pivotal metabolic regulator, houses diverse stromal cell populations influencing its dynamic functions. Recent omics studies, including transcriptomics and proteomics, have revealed intricate cellular heterogeneity, yet comprehensive metabolic profiling remains limited. Leveraging fluorescence-activated cell sorting (FACS), we isolated PDGFRα+ DPP4+ and PDGFRα+ DPP4- adipose stromal cells (ASCs) from human orbital adipose tissue (OAT). Integrating gene expression analysis, in vitro adipogenesis assays, and quantitative lipidomics, we characterized their functional and metabolic distinctions. DPP4- ASCs exhibited enhanced adipogenic potential and distinct lipidomic profiles, featuring elevated ceramides and triacylglycerols compared to DPP4+ ASCs. Differential gene expression highlighted metabolic and adipogenic gene signatures reflective of their functional roles in adipose tissue remodeling. Our findings underscore the metabolic heterogeneity within OAT stromal fibroblasts, implicating DPP4- ASCs as potent regulators of adipogenesis and metabolic homeostasis. These insights enhance our understanding of adipose tissue plasticity and may inform therapeutic strategies for conditions like thyroid-associated ophthalmopathy.

Authors

Institutions

Publication Details

Journal
Metabolism Open
Published
2025-07-24
DOI
https://doi.org/10.1016/j.metop.2025.100380
Primary Topic
Retinoids in leukemia and cellular processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative lipidomic analysis reveals distinct metabolic traits between stromal cell subpopulations in human orbital adipose tissue

Suihan Feng, Mengle Shao, Wei Song, Haizhou Li et al.
Metabolism Open
Retinoids in leukemia and cellular processes
article

Quantitative lipidomic analysis reveals distinct metabolic traits between stromal cell subpopulations in human orbital adipose tissue

Suihan Feng, Mengle Shao, Wei Song, Haizhou Li, Shuwei Tian, Pengfei Cai, Siqi Li, Xiaoli Zhang, Juan Cai, Jiayong Yu, Danni Wei
article en

Abstract

Adipose tissue, a pivotal metabolic regulator, houses diverse stromal cell populations influencing its dynamic functions. Recent omics studies, including transcriptomics and proteomics, have revealed intricate cellular heterogeneity, yet comprehensive metabolic profiling remains limited. Leveraging fluorescence-activated cell sorting (FACS), we isolated PDGFRα+ DPP4+ and PDGFRα+ DPP4- adipose stromal cells (ASCs) from human orbital adipose tissue (OAT). Integrating gene expression analysis, in vitro adipogenesis assays, and quantitative lipidomics, we characterized their functional and metabolic distinctions. DPP4- ASCs exhibited enhanced adipogenic potential and distinct lipidomic profiles, featuring elevated ceramides and triacylglycerols compared to DPP4+ ASCs. Differential gene expression highlighted metabolic and adipogenic gene signatures reflective of their functional roles in adipose tissue remodeling. Our findings underscore the metabolic heterogeneity within OAT stromal fibroblasts, implicating DPP4- ASCs as potent regulators of adipogenesis and metabolic homeostasis. These insights enhance our understanding of adipose tissue plasticity and may inform therapeutic strategies for conditions like thyroid-associated ophthalmopathy.

Metabolism OpenVol. 27
Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Shanghai Ninth People's Hospital (CN), Second Affiliated Hospital of Xi'an Jiaotong University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 84%
Retinoids in leukemia and cellular processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.