Han Moxuan, Cui Yan, Fang Zhengyuan, Li He, Wang Yueqi, Sima Mingwei, Bi Yan, Yue Donghui
School of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, China.
School of Basic Medicine, Changchun University of Chinese Medicine, Changchun 130117, China.
Biology (Basel). 2025 Feb 14;14(2):200. doi: 10.3390/biology14020200.
Pulmonary fibrosis (PF) is a chronic interstitial lung disease characterized by the destruction of alveolar structures, the abnormal accumulation of extracellular matrix (ECM), and ultimately respiratory failure. Although previous studies have shown that plasma proteins play an important role in the onset and progression of PF, there is currently a lack of systematic studies on causal relationships. To address the identified gap, the study employs the MR method to identify potential drug targets associated with PF. Plasma protein data (pQTL, exposure) were sourced from Ferkingstad et al. ( = 35,559), and PF-related summary statistics were obtained from the GWAS database ( = 469,126). The study integrates enrichment analysis, protein-protein interaction (PPI) networks, drug prediction, molecular docking, and single-cell sequencing to further evaluate the biological functions and pharmacological potential of the identified targets. In the MR analysis, 64 genetic loci were significantly associated with the occurrence of PF. Further reverse Mendelian analysis revealed a positive causal relationship between PF and genes such as , , and , suggesting that these proteins may play a promotive role in the onset and progression of pulmonary fibrosis. The PPI network analysis identified core genes such as , , , , and , which are involved in the key pathological processes of PF, including cell signaling, ECM remodeling, and immune responses. The drug prediction analysis identified potential drugs such as sorafenib, vitamin C, and vitamin E, and the molecular docking analysis showed good binding between the drugs and the proteins. The single-cell sequencing results showed that core genes were highly expressed in fibroblasts and alveolar type II cells, confirming their potential role in the pathogenesis of PF. This study successfully identifies 64 potential drug targets for PF, with 10 core targets considered particularly promising for clinical trials. These findings offer valuable insights into the molecular mechanisms underlying PF and open new avenues for the development of targeted therapies. This research may accelerate the development of effective PF treatments and reduce drug development costs by providing more precise and personalized approaches to managing the disease.
肺纤维化(PF)是一种慢性间质性肺病,其特征在于肺泡结构破坏、细胞外基质(ECM)异常积聚,最终导致呼吸衰竭。尽管先前的研究表明血浆蛋白在PF的发生和发展中起重要作用,但目前缺乏关于因果关系的系统研究。为了填补这一已发现的空白,该研究采用孟德尔随机化(MR)方法来识别与PF相关的潜在药物靶点。血浆蛋白数据(pQTL,暴露量)来自Ferkingstad等人(n = 35,559),PF相关的汇总统计数据从全基因组关联研究(GWAS)数据库获得(n = 469,126)。该研究整合了富集分析、蛋白质-蛋白质相互作用(PPI)网络、药物预测、分子对接和单细胞测序,以进一步评估已识别靶点的生物学功能和药理潜力。在MR分析中,64个基因位点与PF的发生显著相关。进一步的反向孟德尔分析揭示了PF与诸如[具体基因1]、[具体基因2]和[具体基因3]等基因之间存在正向因果关系,表明这些蛋白质可能在肺纤维化的发生和发展中起促进作用。PPI网络分析确定了诸如[核心基因1]、[核心基因2]、[核心基因3]、[核心基因4]和[核心基因5]等核心基因,它们参与了PF的关键病理过程,包括细胞信号传导、ECM重塑和免疫反应。药物预测分析确定了索拉非尼、维生素C和维生素E等潜在药物,分子对接分析表明药物与蛋白质之间具有良好的结合。单细胞测序结果表明,核心基因在成纤维细胞和II型肺泡细胞中高表达,证实了它们在PF发病机制中的潜在作用。本研究成功识别出64个PF潜在药物靶点,其中10个核心靶点被认为对临床试验特别有前景。这些发现为PF的分子机制提供了有价值的见解,并为靶向治疗的开发开辟了新途径。这项研究可能会加速有效的PF治疗方法的开发,并通过提供更精确和个性化的疾病管理方法来降低药物开发成本。