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探索脂肪因子介导的雷公藤红素靶基因与糖尿病肾病中T细胞之间的相互作用:基于孟德尔随机化的因果推断

Exploring the interplay between adipokine-mediated celastrol target genes and T cells in diabetic nephropathy: a mendelian randomization-based causal inference.

作者信息

Wang Xiaojuan, Abu Bakar Mohamad Hafizi, Kassim Mohd Asyraf, Shariff Khairul Anuar, Wang Jing, Xu Manli

机构信息

Department of Pharmacy, Taishan Vocational College of Nursing, Tai'an, Shandong, 271099, China.

Bioprocess Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Gelugor, Penang, 11800, Malaysia.

出版信息

Diabetol Metab Syndr. 2025 Mar 18;17(1):89. doi: 10.1186/s13098-025-01665-0.

Abstract

BACKGROUND

Diabetic nephropathy (DN) is influenced by dysregulated adipokines, which play a key role in inflammation, immune responses, and lipid metabolism. However, the precise molecular mechanisms linking adipokine dysregulation, immune cell infiltration, and metabolic reprogramming in DN remain poorly understood. Celastrol, a bioactive lipid regulator, has been shown to mitigate renal immune-inflammatory damage by inhibiting the PI3K/Akt/NF-κB signaling pathway. Yet, its specific impact on adipokine-mediated immune responses and lipid metabolism in DN is unclear. This study aims to elucidate the interplay between adipokine-mediated target genes in DN and investigate how celastrol modulates these interactions.

METHODS

Gene expression profiles of DN patients were obtained from GEO datasets (GSE30122 and GSE30528) and analyzed for differentially expressed genes (DEGs) using the limma package. Gene set variation analysis (GSVA) was conducted to assess lipid metabolism pathways, while Mendelian randomization (MR) and Pearson correlation evaluated the association between DEGs and adipokines. Immune cell infiltration was analyzed using the IOBR R package (MCP-counter and xCell methods), followed by MR analysis of DN-related immune responses. Celastrol target genes were identified using the SEA database.

RESULTS

A total of 70 intersecting DEGs were identified. GSVA revealed that brown and beige adipocyte differentiation pathways were downregulated, while adipocyte-related pathways were upregulated in DN (p < 0.05). MR analysis demonstrated that adiponectin was negatively associated with DN (OR = 0.77, P = 0.005), whereas leptin (OR = 1.92, P = 0.016) and resistin (OR = 1.43, P < 0.001) were positively associated. Three key genes, MAGI2, FGF9, and THBS2 were linked to DN risk and T cell infiltration. THBS2 was positively correlated with T cell infiltration (OR = 0.51, P = 6.7e-06), while FGF9 (OR = -0.8, P = 2.2e-16) and MAGI2 (OR = 0.75, P = 1.3e-13) were negatively correlated. 22 celastrol target genes, including MAGI2, FGF9, and THBS2, were identified.

CONCLUSION

Our findings reveal that celastrol modulates DN progression through adipokine-immune crosstalk, with FGF9, MAGI2, and THBS2 emerging as key regulatory genes. These insights provide new avenues for biomarker discovery and therapeutic implications in the development of DN.

摘要

背景

糖尿病肾病(DN)受脂肪因子失调的影响,脂肪因子在炎症、免疫反应和脂质代谢中起关键作用。然而,DN中脂肪因子失调、免疫细胞浸润和代谢重编程之间的确切分子机制仍知之甚少。雷公藤红素是一种生物活性脂质调节剂,已被证明可通过抑制PI3K/Akt/NF-κB信号通路减轻肾脏免疫炎症损伤。然而,其对DN中脂肪因子介导的免疫反应和脂质代谢的具体影响尚不清楚。本研究旨在阐明DN中脂肪因子介导的靶基因之间的相互作用,并研究雷公藤红素如何调节这些相互作用。

方法

从GEO数据集(GSE30122和GSE30528)获取DN患者的基因表达谱,并使用limma软件包分析差异表达基因(DEG)。进行基因集变异分析(GSVA)以评估脂质代谢途径,同时采用孟德尔随机化(MR)和Pearson相关性评估DEG与脂肪因子之间的关联。使用IOBR R软件包(MCP-counter和xCell方法)分析免疫细胞浸润,随后对DN相关免疫反应进行MR分析。使用SEA数据库鉴定雷公藤红素靶基因。

结果

共鉴定出70个相交的DEG。GSVA显示,DN中棕色和米色脂肪细胞分化途径下调,而脂肪细胞相关途径上调(p < 0.05)。MR分析表明,脂联素与DN呈负相关(OR = 0.77,P = 0.005),而瘦素(OR = 1.92,P = 0.016)和抵抗素(OR = 1.43,P <0.001)呈正相关。三个关键基因MAGI2、FGF9和THBS2与DN风险和T细胞浸润相关。THBS2与T细胞浸润呈正相关(OR = 0.51,P = 6.7e-06),而FGF9(OR = -0.8,P = 2.2e-16)和MAGI2(OR = 0.75,P = 1.3e-13)呈负相关。鉴定出22个雷公藤红素靶基因,包括MAGI2、FGF9和THBS2。

结论

我们的研究结果表明,雷公藤红素通过脂肪因子-免疫串扰调节DN进展,FGF9、MAGI2和THBS2成为关键调控基因。这些见解为DN的生物标志物发现和治疗意义提供了新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/229d/11921554/28abe098dfaf/13098_2025_1665_Fig1_HTML.jpg

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