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用于鉴定Klippel-Feil综合征患者脂质代谢相关途径的比较蛋白质组学分析

Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome.

作者信息

Li Ziquan, Zhang Cong, Qiu Bintao, Niu Yuchen, Leng Ling, Cai Siyi, Tian Ye, Zhang Terry Jianguo, Qiu Guixing, Wu Nan, Wu Zhihong, Wang Yipeng

机构信息

Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.

出版信息

Ann Transl Med. 2021 Feb;9(3):255. doi: 10.21037/atm-20-5155.

Abstract

BACKGROUND

Klippel-Feil syndrome (KFS) represents the rare and complex deformity characterized by congenital defects in the formation or segmentation of the cervical vertebrae. There is a wide gap in understanding the detailed mechanisms of KFS because of its rarity, heterogeneity, small pedigrees, and the broad spectrum of anomalies.

METHODS

We recruited eight patients of Chinese Han ethnicity with KFS, five patients with congenital scoliosis (CS) who presented with congenital fusion of the thoracic or lumbar spine and without known syndrome or cervical deformity, and seven healthy controls. Proteomic analysis by data-independent acquisition (DIA) was performed to identify the differential proteome among the three matched groups and the data were analyzed by bioinformatics tools including Gene Ontology (GO) categories and Ingenuity Pathway Analysis (IPA) database, to explore differentially abundant proteins (DAPs) and canonical pathways involved in the pathogenesis of KFS.

RESULTS

A total of 49 DAPs were detected between KFS patients and the controls, and moreover, 192 DAPs were identified between patients with KFS and patients with CS. Fifteen DAPs that were common in both comparisons were considered as candidate biomarkers for KFS, including membrane primary amine oxidase, noelin, galectin-3-binding protein, cadherin-5, glyceraldehyde-3-phosphate dehydrogenase, peroxiredoxin-1, CD109 antigen, and eight immunoglobulins. Furthermore, the same significant canonical pathways of LXR/RXR activation and FXR/RXR activation were observed in both comparisons. Seven of DAPs were apolipoproteins related to these pathways that are involved in lipid metabolism.

CONCLUSIONS

This study provides the first proteomic profile for understanding the pathogenesis and identifying predictive biomarkers of KFS. We detected 15 DAPs that were common in both comparisons as candidate predictive biomarkers of KFS. The lipid metabolism-related canonical pathways of LXR/RXR and FXR/RXR activation together with seven differentially abundant apolipoproteins may play significant roles in the etiology of KFS and provide possible pathogenesis correlation between KFS and CS.

摘要

背景

克莱佩尔-费尔综合征(KFS)是一种罕见且复杂的畸形,其特征为颈椎形成或分节的先天性缺陷。由于其罕见性、异质性、小家系以及广泛的异常谱,对KFS详细机制的理解存在很大差距。

方法

我们招募了8名中国汉族KFS患者、5名先天性脊柱侧凸(CS)患者(表现为胸段或腰段脊柱先天性融合且无已知综合征或颈椎畸形)以及7名健康对照。通过数据非依赖采集(DIA)进行蛋白质组学分析,以鉴定三组匹配样本中的差异蛋白质组,并使用包括基因本体(GO)分类和 Ingenuity 通路分析(IPA)数据库在内的生物信息学工具对数据进行分析,以探索参与KFS发病机制的差异丰度蛋白(DAPs)和经典通路。

结果

在KFS患者与对照之间共检测到49种DAPs,此外,在KFS患者与CS患者之间鉴定出192种DAPs。在两项比较中均常见的15种DAPs被视为KFS的候选生物标志物,包括膜原发性胺氧化酶、无elin、半乳糖凝集素-3结合蛋白、钙黏蛋白-5、甘油醛-3-磷酸脱氢酶、过氧化物酶体增殖物激活受体-1、CD109抗原以及8种免疫球蛋白。此外,在两项比较中均观察到相同的显著经典通路,即LXR/RXR激活和FXR/RXR激活。其中7种DAPs是与这些参与脂质代谢的通路相关的载脂蛋白。

结论

本研究提供了首个用于理解KFS发病机制和鉴定预测性生物标志物的蛋白质组学图谱。我们在两项比较中均检测到15种常见的DAPs作为KFS的候选预测性生物标志物。LXR/RXR和FXR/RXR激活的脂质代谢相关经典通路以及7种差异丰度载脂蛋白可能在KFS的病因学中起重要作用,并为KFS与CS之间提供可能的发病机制关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a0/7940892/796e1ccead1a/atm-09-03-255-f1.jpg

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