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April 18, 2026Biology0 citationsOpen Access

Comparative Morphological and Proteomic Characterization of Adipose Tissues from Different Anatomical Sites in Yili Horses

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LYLiping YangLSLirong SongZLZhixin Lu

Key Points

  • This study aims to investigate the morphological and proteomic differences between subcutaneous adipose tissue and pericardial adipose tissue in Yili horses.
  • Analyzed adipose tissue samples from 18 Yili horses using hematoxylin and eosin staining.

Structured PICO

Does pericardial adipose tissue differ morphologically and proteomically from subcutaneous adipose tissue in Yili horses?

P
Population
Adipose tissue samples from 18 Yili horses
I
Intervention
Morphological and proteomic analysis of pericardial adipose tissue (PCAT)
C
Comparator
Subcutaneous adipose tissue (SAT)
O
Outcome
Morphological characteristics (adipocyte area, diameter, number per field) and proteomic profiles (differentially expressed proteins)surrogate

Pericardial adipose tissue in Yili horses exhibits distinct morphological features and proteomic profiles compared to subcutaneous adipose tissue, with PCAT being more associated with structural regulation and cardiovascular signaling.

Abstract

Adipose tissue functions not only as a primary energy reservoir but also as a metabolically active endocrine organ. However, the morphological and molecular differences among adipose depots from different anatomical sites in Yili horses remain unclear. This study aimed to compare the morphological characteristics and proteomic profiles of subcutaneous adipose tissue (SAT) and pericardial adipose tissue (PCAT). To this end, adipose tissue samples from 18 Yili horses were analyzed using hematoxylin and eosin (H&E) staining, while a subset of samples from 6 horses was subjected to proteomic analysis. The results demonstrated that adipocytes in PCAT showed significantly larger areas and diameters but a lower number per field than those in SAT (p < 0.01). Proteomic profiling identified 451 differentially expressed proteins (DEPs) between SAT and PCAT. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses indicated that these DEPs were primarily involved in fatty acid catabolism, glycolysis, ECM–receptor interaction, thermogenesis, Wnt signaling, and other related pathways. Notably, enrichment analyses further revealed that SAT exhibited more active substrate utilization, energy metabolism, and lipid turnover, whereas PCAT was more associated with structural regulation and cardiovascular-related signaling pathways. Furthermore, correlation analysis between adipocyte morphological metrics and proteomic data identified ACAA2, ENO1, TPI1, PLIN1, COL6A3, and ITGB1 as candidate proteins regulating the site-specific differences in morphology and metabolic function between SAT and PCAT. These findings reveal distinct morphological and proteomic features of different adipose depots in Yili horses, providing a foundation for understanding depot-specific adipose function and its underlying regulatory mechanisms.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69e3213840886becb65405cehttps://doi.org/10.3390/biology15080621
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integrated targeted metabolomics and transcriptomics analysis reveals heterogeneity of subcutaneous and pericardial adipose tissues in Yili horses2026
  2. 2Comparative Analysis of Morphology and Targeted Fatty Acid Profiling of Adipose Tissues from Different Depots in the Junggar Bactrian Camel2026
  3. 3Combined Analysis of the Transcriptome and Metabolome at Different Tissue Glycogen Levels in Yili Horses2026
  4. 4Integrated transcriptomic and metabolomic analyses reveal key regulators associated with lipid metabolic differences between subcutaneous and visceral adipose tissues in sheep2026
  5. 5Differential Energy Metabolism in Skeletal Muscle Tissues of Yili Horses Based on Targeted Metabolomics and Transcriptomics Analysis2025