Identification of Potential Therapeutic Targets for Sensorineural Hearing Loss and Evaluation of Drug Development Potential Using Mendelian Randomization Analysis.

IF 3.8 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Shun Ding, Qiling Tong, Yixuan Liu, Mengyao Qin, Shan Sun
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引用次数: 0

Abstract

Background: Sensorineural hearing loss (SNHL) is a major contributor to hearing impairment, yet effective therapeutic options remain elusive. Mendelian randomization (MR) has proven valuable for drug repurposing and identifying new therapeutic targets. This study aims to pinpoint novel treatment targets for SNHL, exploring their pathophysiological roles and potential adverse effects. Methods: This research utilized the UKB-PPP database to access cis-protein quantitative trait locus (cis-pQTL) data, with SNHL data sourced from the FinnGen database as the endpoint for the MR causal analysis of drug targets. Colocalization analysis was employed to determine whether SNHL risk and protein expression share common SNPs. A phenotype-wide association analysis was conducted to assess the potential side effects of these targets. Drug prediction and molecular docking were subsequently used to evaluate the therapeutic potential of the identified targets. Results: Four drug target proteins significantly associated with sensorineural hearing loss (SNHL) were determined by Mendelian randomization (MR) analysis and co-localization analysis. These drug targets include LATS1, TEF, LMNB2, and OGFR and were shown to have fewer potential side effects when acting on these target proteins by phenotype-wide association analysis. Genes associated with sensorineural hearing loss are primarily implicated in the Hippo signaling pathway, cell-cell adhesion, and various binding regulatory activities and are involved in the regulation of cell proliferation and apoptosis. Next, drugs for the treatment of SNHL were screened by the DsigDB database and molecular docking, and the top 10 drugs were selected based on p-value. Among them, atrazine CTD 00005450 was identified as the most likely therapeutic target, followed by ampyrone HL60 DOWN and genistein CTD 00007324. In addition, LMNB2, LATS1, and OGFR could be intervened in by multiple drugs; however, fewer drugs intervened in TEF. Conclusion: This study has successfully identified four promising drug targets for SNHL, which are likely to be effective in clinical trials with minimal side effects. These findings could significantly streamline drug development for SNHL, potentially reducing the costs and time associated with pharmaceutical research and development.

背景:感音神经性听力损失(SNHL)是造成听力损伤的主要原因,但有效的治疗方案仍然难以捉摸。事实证明,孟德尔随机化(MR)对药物再利用和确定新的治疗靶点很有价值。本研究旨在确定 SNHL 的新型治疗靶点,探索其病理生理作用和潜在的不良反应。研究方法本研究利用 UKB-PPP 数据库访问顺式蛋白定量性状位点(cis-pQTL)数据,并以来自 FinnGen 数据库的 SNHL 数据作为终点,对药物靶点进行 MR 因果分析。共定位分析用于确定SNHL风险和蛋白质表达是否共享共同的SNPs。还进行了全表型关联分析,以评估这些靶点的潜在副作用。随后使用药物预测和分子对接来评估已确定靶点的治疗潜力。结果发现通过孟德尔随机化(MR)分析和共定位分析,确定了四个与感音神经性听力损失(SNHL)明显相关的药物靶蛋白。这些药物靶点包括 LATS1、TEF、LMNB2 和 OGFR,并且通过表型关联分析表明,作用于这些靶蛋白的潜在副作用较少。与感音神经性听力损失有关的基因主要与 Hippo 信号通路、细胞-细胞粘附和各种结合调节活动有关,并参与细胞增殖和凋亡的调节。接着,通过DsigDB数据库和分子对接筛选出治疗SNHL的药物,并根据P值选出前10种药物。其中,阿特拉津CTD 00005450被确定为最有可能的治疗靶点,其次是安非他酮HL60 DOWN和染料木素CTD 00007324。此外,LMNB2、LATS1 和 OGFR 可被多种药物干预;但干预 TEF 的药物较少。结论本研究成功鉴定了四种有希望治疗SNHL的药物靶点,它们很可能在临床试验中有效,且副作用极小。这些发现可大大简化针对SNHL的药物开发,从而有可能减少与药物研发相关的成本和时间。
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来源期刊
Bioengineering
Bioengineering Chemical Engineering-Bioengineering
CiteScore
4.00
自引率
8.70%
发文量
661
期刊介绍: Aims Bioengineering (ISSN 2306-5354) provides an advanced forum for the science and technology of bioengineering. It publishes original research papers, comprehensive reviews, communications and case reports. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. All aspects of bioengineering are welcomed from theoretical concepts to education and applications. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, four key features of this Journal: ● We are introducing a new concept in scientific and technical publications “The Translational Case Report in Bioengineering”. It is a descriptive explanatory analysis of a transformative or translational event. Understanding that the goal of bioengineering scholarship is to advance towards a transformative or clinical solution to an identified transformative/clinical need, the translational case report is used to explore causation in order to find underlying principles that may guide other similar transformative/translational undertakings. ● Manuscripts regarding research proposals and research ideas will be particularly welcomed. ● Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. ● We also accept manuscripts communicating to a broader audience with regard to research projects financed with public funds. Scope ● Bionics and biological cybernetics: implantology; bio–abio interfaces ● Bioelectronics: wearable electronics; implantable electronics; “more than Moore” electronics; bioelectronics devices ● Bioprocess and biosystems engineering and applications: bioprocess design; biocatalysis; bioseparation and bioreactors; bioinformatics; bioenergy; etc. ● Biomolecular, cellular and tissue engineering and applications: tissue engineering; chromosome engineering; embryo engineering; cellular, molecular and synthetic biology; metabolic engineering; bio-nanotechnology; micro/nano technologies; genetic engineering; transgenic technology ● Biomedical engineering and applications: biomechatronics; biomedical electronics; biomechanics; biomaterials; biomimetics; biomedical diagnostics; biomedical therapy; biomedical devices; sensors and circuits; biomedical imaging and medical information systems; implants and regenerative medicine; neurotechnology; clinical engineering; rehabilitation engineering ● Biochemical engineering and applications: metabolic pathway engineering; modeling and simulation ● Translational bioengineering
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