Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (22): 5671-5681.doi: 10.12307/2026.169

Previous Articles     Next Articles

Potential mechanism by which iroquois homeobox 3 regulates the browning of perivascular adipose tissue in vascular injury

Hu Xiaoyong, Song Qianhua, Yang Zhaoying, Tang Rui, Li Hongjian   

  1. Department of Hypertension, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi 830000, Xinjiang Uyghur Autonomous Region, China 
  • Received:2025-06-06 Accepted:2025-09-16 Online:2026-08-08 Published:2025-12-26
  • Contact: Li Hongjian, MD, Professor, Department of Hypertension, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi 830000, Xinjiang Uyghur Autonomous Region, China
  • About author:Hu Xiaoyong, MD candidate, Department of Hypertension, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi 830000, Xinjiang Uyghur Autonomous Region, China
  • Supported by:
    Health and Wellness Research Project of Xinjiang Uygur Autonomous Region, No. 2025001CXKYXM650025463 (to LHJ); Xinjiang 'Tianshan Talents' High-level Talent Training Program in Medicine and Health - Leading Talent Project, No. TSYC202301A057 (to LHJ); the National Natural Science Foundation of China, No. 8226020195 (to LHJ)

Abstract: BACKGROUND: Vascular injury-related diseases have garnered significant attention in the medical field, and the browning of perivascular adipose tissue is closely linked to these diseases. However, the regulatory mechanisms of specific genes involved in this process remain unclear. 
OBJECTIVE: To investigate the potential mechanism by which iroquois homeobox 3 regulates the browning of perivascular adipose tissue in vascular injury.
METHODS: The perivascular adipose tissue-related single-cell sequencing data matrix GSE275779 was analyzed to investigate the expression levels and functions of iroquois homeobox 3 in various cell subpopulations. In conjunction with adipocyte-related microarray and sequencing data GSE44059, GSE7032, GSE185518, and GSE168387, differentially expressed genes were identified, and the expression level of iroquois homeobox 3 during the differentiation of browning adipocytes was validated. The downstream target genes of iroquois homeobox 3 were screened using the msigdb database and the ChIP-seq database GTRD. By disrupting iroquois homeobox 3 and overexpressing retinol saturase in adipocyte precursor cells, the mRNA and protein expression levels of adipocyte browning-related genes were detected using quantitative polymerase chain reaction and western blot analysis.
RESULTS AND CONCLUSION: Bioinformatics analysis results showed that adipocyte characteristic factors PR domain containing 16, cell death-inducing DFFA-like effector A, and uncoupling protein 1 were significantly downregulated in diabetic perivascular adipose tissue, and these genes were all involved in fat browning. Combined with high-throughput sequencing data analysis, iroquois homeobox 3 was found to be highly expressed in brown adipose tissue and to play a role in the differentiation process of brown adipocytes. Retinol saturase was identified as a downstream target gene of iroquois homeobox 3, and its expression levels differed during the differentiation of brown adipocytes. In mature brown adipocytes, knocking down iroquois homeobox 3 resulted in a decrease in the expression of retinol saturase and adipocyte browning-related markers (uncoupling protein 1, peroxisome proliferator-activated receptor gamma coactivator 1 alpha, PR domain containing 16). In the retinol saturase rescue experiment, overexpressing retinol saturase substantially upregulated the protein levels of adipocyte browning-related markers, but did not affect the expression of iroquois homeobox 3. This study preliminarily reveals the potential mechanism by which iroquois homeobox 3 regulates the browning of perivascular adipose tissue in vascular injury. 


Key words: vascular injury, perivascular adipose tissue, bioinformatics, single cell sequencing, browning, iroquois homeobox 3

CLC Number: