Key result
Proteomic profiling maps depot-specific changes in subcutaneous and omental adipose tissues across diverse BMIs.
Why the study?
A comprehensive proteomic dataset was needed to facilitate a deeper understanding of adipose tissue biology and depot-specific changes that precede obesity-related complications.
Observational
This proteomic dataset provides a resource for understanding depot-specific physiological signatures and biological changes in adipose tissue that evolve with increasing adiposity before the onset of comorbidities.
May guide future adipose studies; leaves open clinical translation pending validation.
Obesity is a major public health challenge affecting an ever-increasing proportion of the global population. It is associated with numerous comorbidities. Progressive expansion and remodeling of adipose tissue may lead to depot specific changes in adipose tissue biology and energy partitioning. Such changes likely precede the development of obesity-related complications. To facilitate a deeper understanding of adipose tissue biology, a comprehensive and quantitative proteomic dataset at the peptide and protein level is presented. Data-independent acquisition LC-MS/MS data were acquired from matched subcutaneous and omental adipose tissues from metabolically healthy individuals with no comorbidities and covering a wide range of body mass indexes. Adipose tissue samples were collected during elective surgeries and immediately processed for histology or frozen until proteomic analysis. Internal and external quality control systems ensured high quality data. All data presented are available via ProteomeXchange. This dataset will allow new insights into biological changes that evolve with increasing adiposity captured before the onset of comorbidities. Matched sampling across fat depots provides an opportunity to uncover depot-specific physiological signatures.
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Zelter et al. (2026) conducted an observational in Obesity. Proteomic profiling was evaluated on Comprehensive and quantitative proteomic dataset at the peptide and protein level. Proteomic profiling of matched subcutaneous and omental adipose tissues from metabolically healthy individuals across a wide BMI range generated a comprehensive dataset to study depot-specific changes.
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