Comprehensive Analysis Reveals the Molecular Features and Immune Infiltration of PANoptosis-Related Genes in Metabolic Dysfunction-Associated Steatotic Liver Disease.

IF 3.6 3区生物学 Q1 BIOLOGY

Biology-Basel Pub Date : 2025-05-08 DOI:10.3390/biology14050518

Yan Huang, Jingyu Qian, Zhengyun Luan, Junling Han, Limin Tang

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引用次数: 0

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD), a chronic inflammatory disorder characterized by alcohol-independent hepatic lipid accumulation, remains poorly understood in terms of PANoptosis involvement.

Methods: We integrated high-throughput sequencing data with bioinformatics to profile differentially expressed genes (DEGs) and immune infiltration patterns in MASLD, identifying PANoptosis-associated DEGs (PANoDEGs). Machine learning algorithms prioritized key PANoDEGs, while ROC curves assessed their diagnostic efficacy. Cellular, animal, and clinical validations confirmed target expression.

Results: Three PANoDEGs (SNHG16, Caspase-6, and Dynamin-1-like protein) exhibited strong MASLD associations and diagnostic significance. Immune profiling revealed elevated M1 macrophages, naïve B cells, and activated natural killer cells in MASLD tissues versus controls. Further experiments verified the expression of the key PANoDEGs.

Conclusions: This study provides new insights for further studies on the pathogenesis and treatment strategies of PANoptosis in MASLD.

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代谢功能障碍相关脂肪变性肝病panoptoosis相关基因的分子特征及免疫浸润的综合分析

背景：代谢功能障碍相关的脂肪变性肝病（MASLD）是一种慢性炎症性疾病，以酒精不依赖型肝脏脂质积累为特征，在PANoptosis的参与方面仍然知之甚少。方法：我们将高通量测序数据与生物信息学相结合，分析MASLD中差异表达基因（DEGs）和免疫浸润模式，鉴定panoposis相关的DEGs （PANoDEGs）。机器学习算法优先考虑关键的panodeg，而ROC曲线评估其诊断效果。细胞、动物和临床验证证实了目标表达。结果：三个panodeg （SNHG16、Caspase-6和dynamin -1样蛋白）表现出很强的MASLD相关性和诊断意义。免疫分析显示，与对照组相比，MASLD组织中M1巨噬细胞、naïve B细胞和活化的自然杀伤细胞升高。进一步的实验验证了关键panodeg的表达。结论：本研究为进一步研究MASLD PANoptosis的发病机制和治疗策略提供了新的思路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biology-Basel Biological Science-Biological Science

CiteScore

5.70

自引率

4.80%

发文量

1618

审稿时长

11 weeks

期刊介绍： Biology (ISSN 2079-7737) is an international, peer-reviewed, quick-refereeing open access journal of Biological Science published by MDPI online. It publishes reviews, research papers and communications in all areas of biology and at the interface of related disciplines. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files regarding the full details of the experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.