Zou Mingrui, Yang Jichun
Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-Coding RNA Medicine, Peking University Health Science Center, Beijing 100191, China.
Peking University First School of Clinical Medicine, Peking University First Hospital, Beijing 100034, China.
Pharmaceuticals (Basel). 2024 Jun 11;17(6):766. doi: 10.3390/ph17060766.
Millions of patients suffer from type 1 diabetes (T1D) and its associated complications. Nevertheless, the pursuit of a cure for T1D has encountered significant challenges, with a crucial impediment being the lack of biomarkers that can accurately predict the progression of T1D and reliable therapeutic targets for T1D. Hence, there is an urgent need to discover novel protein biomarkers and therapeutic targets, which holds promise for targeted therapy for T1D. In this study, we extracted summary-level data on 4907 plasma proteins from 35,559 Icelanders and 2923 plasma proteins from 54,219 UK participants as exposures. The genome-wide association study (GWAS) summary statistics on T1D and T1D with complications were obtained from the R9 release results from the FinnGen consortium. Summary-data-based Mendelian randomization (SMR) analysis was employed to evaluate the causal associations between the genetically predicted levels of plasma proteins and T1D-associated outcomes. Colocalization analysis was utilized to investigate the shared genetic variants between the exposure and outcome. Moreover, transcriptome analysis and a protein-protein interaction (PPI) network further illustrated the expression patterns of the identified protein targets and their interactions with the established targets of T1D. Finally, a Mendelian randomization phenome-wide association study evaluated the potential side effects of the identified core protein targets. In the primary SMR analysis, we identified 72 potential protein targets for T1D and its complications, and nine of them were considered crucial protein targets. Within the group were five risk targets and four protective targets. Backed by evidence from the colocalization analysis, the protein targets were classified into four tiers, with MANSC4, CTRB1, SIGLEC5 and MST1 being categorized as tier 1 targets. Delving into the DrugBank database, we retrieved 11 existing medications for T1D along with their therapeutic targets. The PPI network clarified the interactions among the identified potential protein targets and established ones. Finally, the Mendelian randomization phenome-wide association study corroborated MANSC4 as a reliable target capable of mitigating the risk of various forms of diabetes, and it revealed the absence of adverse effects linked to CTRB1, SIGLEC5 and MST1. This study unveiled many protein biomarkers and therapeutic targets for T1D and its complications. Such advancements hold great promise for the progression of drug development and targeted therapy for T1D.
数以百万计的患者患有1型糖尿病(T1D)及其相关并发症。然而,寻求治愈T1D的过程面临着重大挑战,一个关键障碍是缺乏能够准确预测T1D进展的生物标志物以及针对T1D的可靠治疗靶点。因此,迫切需要发现新的蛋白质生物标志物和治疗靶点,这有望为T1D的靶向治疗带来希望。在本研究中,我们提取了来自35559名冰岛人的4907种血浆蛋白以及来自54219名英国参与者的2923种血浆蛋白的汇总水平数据作为暴露因素。1型糖尿病及伴有并发症的1型糖尿病的全基因组关联研究(GWAS)汇总统计数据来自芬兰基因联盟的R9版本结果。基于汇总数据的孟德尔随机化(SMR)分析用于评估基因预测的血浆蛋白水平与T1D相关结局之间的因果关联。共定位分析用于研究暴露因素和结局之间共享的遗传变异。此外,转录组分析和蛋白质-蛋白质相互作用(PPI)网络进一步阐明了已鉴定蛋白质靶点的表达模式及其与T1D既定靶点的相互作用。最后,孟德尔随机化全表型关联研究评估了已鉴定核心蛋白质靶点的潜在副作用。在初步的SMR分析中,我们确定了72个针对T1D及其并发症的潜在蛋白质靶点,其中9个被认为是关键蛋白质靶点。该组中有5个风险靶点和4个保护靶点。在共定位分析证据的支持下,这些蛋白质靶点被分为四个层级,MANSC4、CTRB1、SIGLEC5和MST1被归类为一级靶点。通过深入研究药物银行数据库,我们检索到了11种现有的用于治疗T1D的药物及其治疗靶点。PPI网络阐明了已鉴定的潜在蛋白质靶点与既定靶点之间的相互作用。最后,孟德尔随机化全表型关联研究证实MANSC4是一个可靠的靶点,能够降低各种形式糖尿病的风险,并且揭示了与CTRB1、SIGLEC5和MST1相关的无不良反应。本研究揭示了许多针对T1D及其并发症的蛋白质生物标志物和治疗靶点。这些进展为T1D的药物开发和靶向治疗的发展带来了巨大希望。
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