Retinal Proteome Profiling of Inherited Retinal Degeneration Across Three Different Mouse Models Suggests Common Drug Targets in Retinitis Pigmentosa.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Molecular & Cellular Proteomics Pub Date : 2024-10-09 DOI:10.1016/j.mcpro.2024.100855
Ahmed B Montaser, Fangyuan Gao, Danielle Peters, Katri Vainionpää, Ning Zhibin, Dorota Skowronska-Krawczyk, Daniel Figeys, Krzysztof Palczewski, Henri Leinonen
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Abstract

Inherited retinal degenerations (IRDs) are a leading cause of blindness among the population of young people in the developed world. Approximately half of IRDs initially manifest as gradual loss of night vision and visual fields, characteristic of retinitis pigmentosa (RP). Due to challenges in genetic testing, and the large heterogeneity of mutations underlying RP, targeted gene therapies are an impractical largescale solution in the foreseeable future. For this reason, identifying key pathophysiological pathways in IRDs that could be targets for mutation-agnostic and disease-modifying therapies (DMTs) is warranted. In this study, we investigated the retinal proteome of three distinct IRD mouse models, in comparison to sex- and age-matched wild-type mice. Specifically, we used the Pde6βRd10 (rd10) and RhoP23H/WT (P23H) mouse models of autosomal recessive and autosomal dominant RP, respectively, as well as the Rpe65-/- mouse model of Leber's congenital amaurosis type 2 (LCA2). The mice were housed at two distinct institutions and analyzed using LC-MS in three separate facilities/instruments following data-dependent and data-independent acquisition modes. This cross-institutional and multi-methodological approach signifies the reliability and reproducibility of the results. The large-scale profiling of the retinal proteome, coupled with in vivo electroretinography recordings, provided us with a reliable basis for comparing the disease phenotypes and severity. Despite evident inflammation, cellular stress, and downscaled phototransduction observed consistently across all three models, the underlying pathologies of RP and LCA2 displayed many differences, sharing only four general KEGG pathways. The opposite is true for the two RP models in which we identify remarkable convergence in proteomic phenotype even though the mechanism of primary rod death in rd10 and P23H mice is different. Our data highlights the cAMP and cGMP second-messenger signaling pathways as potential targets for therapeutic intervention. The proteomic data is curated and made publicly available, facilitating the discovery of universal therapeutic targets for RP.

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通过对三种不同小鼠模型的遗传性视网膜变性进行视网膜蛋白质组分析,发现了视网膜色素变性的共同药物靶点。
遗传性视网膜变性(IRDs)是发达国家年轻人失明的主要原因。大约一半的遗传性视网膜变性最初表现为夜视和视野逐渐丧失,这是视网膜色素变性(RP)的特征。由于基因检测方面的挑战以及 RP 基因突变的巨大异质性,在可预见的未来,大规模的靶向基因疗法是不切实际的。因此,有必要确定IRD的关键病理生理通路,以作为突变诊断和疾病改变疗法(DMT)的靶点。在本研究中,我们研究了三种不同 IRD 小鼠模型的视网膜蛋白质组,并与性别和年龄匹配的野生型小鼠进行了比较。具体来说,我们使用了 Pde6βRd10 (rd10) 和 RhoP23H/WT (P23H) 小鼠模型(分别为常染色体隐性和常染色体显性 RP),以及 Rpe65-/- 小鼠模型(Leber´s 先天性羊角疯 2 型 (LCA2))。小鼠分别饲养在两个不同的机构,并在三个不同的设施/仪器中使用 LC-MS 进行分析,采用数据依赖型和数据非依赖型采集模式。这种跨机构、多方法的研究方法标志着研究结果的可靠性和可重复性。大规模视网膜蛋白质组分析与体内视网膜电图记录相结合,为我们比较疾病表型和严重程度提供了可靠的依据。尽管在所有三个模型中都观察到了明显的炎症、细胞应激和光传导下调,但 RP 和 LCA2 的基本病理却显示出许多差异,只有四个通用 KEGG 通路是相同的。两种 RP 模型的情况恰恰相反,尽管 rd10 和 P23H 小鼠的初级杆状病毒死亡机制不同,但我们发现它们的蛋白质组表型有显著的趋同性。我们的数据强调了 cAMP 和 cGMP 第二信使信号通路是治疗干预的潜在靶点。我们对蛋白质组数据进行了整理并将其公开,这有助于发现RP的通用治疗靶点。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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