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探索代谢综合征和2型糖尿病的潜在枢纽基因:一项系统性网络生物学研究。

Exploring possible hub genes of metabolic syndrome and type 2 diabetes mellitus: a systematic network biology study.

作者信息

Runthala Ashish, Vulichi Srinivasa R, Kosanam Sreya, Pasupula Rajeshwari, Ramakrishna Kakarla, Sutradhar Monoj, Narayan Kumar Pranav

机构信息

Department of Basic Sciences, School of Sciences and Humanities, SR University, Warangal, 506371, India.

Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, 522302, India.

出版信息

Sci Rep. 2025 Jul 2;15(1):23108. doi: 10.1038/s41598-025-95439-3.

Abstract

Metabolic syndrome (MetS) and Type-2 diabetes mellitus (T2DM), often termed "glucolipotoxicity" or insulin resistance syndrome, are complex metabolic disorders typically managed by lifestyle interventions and oral hypoglycemic agents. While conventional drugs, including metformin, sulfonylureas, and sodium-glucose cotransporter-2 (SGLT2) inhibitors, show efficacy, they also present risks such as hypoglycemia and weight gain. Among these, metformin remains the preferred first-line treatment due to its safety, low cost, and minimal side effects. However, the multifactorial nature of MetS/T2DM, coupled with increased cardiovascular risk, demands novel therapeutic strategies targeting broader disease-specific mediators. This study employs network pharmacology to identify potential gene targets linked to MetS/T2DM. We constructed a protein-protein interaction (PPI) network of 97 genes involved in the pathophysiology of these disorders, identifying 89 interlinked genes. The top 10 crucial genes including insulin receptor substrate 1 (IRS1), and interleukin-6 (IL6) are highlighted as key contributors to disease progression. Gene Ontology (GO) analysis revealed their involvement in essential biological processes like peptide synthesis, lipid regulation, and glucose homeostasis. Interestingly, nine of these genes are influenced by metformin, suggesting its broader mechanism in modulating metabolic pathways. Additionally, scrutiny of transcription factors for the considered dataset shows that forkhead box protein O1 (FOXO1), sirtuin 1 (SIRT1), and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α) play crucial roles in insulin signalling, mitochondrial function, and glucose metabolism, further elucidating the molecular complexity of T2DM. Through a network biology framework, this study attempts to highlight the potential for prospective multi-targeting therapeutic strategies that may exhibit improved efficacy and safety, for the management of MetS/T2DM.

摘要

代谢综合征(MetS)和2型糖尿病(T2DM),通常被称为“糖脂毒性”或胰岛素抵抗综合征,是复杂的代谢紊乱疾病,通常通过生活方式干预和口服降糖药进行治疗。虽然包括二甲双胍、磺脲类药物和钠-葡萄糖协同转运蛋白2(SGLT2)抑制剂在内的传统药物显示出疗效,但它们也存在低血糖和体重增加等风险。其中,二甲双胍因其安全性、低成本和最小的副作用,仍然是首选的一线治疗药物。然而,MetS/T2DM的多因素性质,加上心血管风险的增加,需要针对更广泛的疾病特异性介质的新型治疗策略。本研究采用网络药理学来识别与MetS/T2DM相关的潜在基因靶点。我们构建了一个由97个参与这些疾病病理生理过程的基因组成的蛋白质-蛋白质相互作用(PPI)网络,识别出89个相互关联的基因。包括胰岛素受体底物1(IRS1)和白细胞介素-6(IL6)在内的前10个关键基因被突出显示为疾病进展的关键因素。基因本体(GO)分析揭示了它们参与了肽合成、脂质调节和葡萄糖稳态等重要生物学过程。有趣的是,这些基因中有9个受二甲双胍影响,表明其在调节代谢途径方面具有更广泛的机制。此外,对所考虑数据集的转录因子进行仔细研究表明,叉头框蛋白O1(FOXO1)、沉默调节蛋白1(SIRT1)和过氧化物酶体增殖物激活受体γ共激活因子1-α(PGC1α)在胰岛素信号传导、线粒体功能和葡萄糖代谢中发挥关键作用,进一步阐明了T2DM的分子复杂性。通过网络生物学框架,本研究试图突出前瞻性多靶点治疗策略的潜力,这些策略可能在MetS/T2DM的管理中表现出更高的疗效和安全性。

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