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

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,...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940892/
https://www.ncbi.nlm.nih.gov/pubmed/33708882
http://dx.doi.org/10.21037/atm-20-5155
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author 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
author_facet 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
author_sort Li, Ziquan
collection PubMed
description 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.
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spelling pubmed-79408922021-03-10 Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome 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 Ann Transl Med Original Article 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. AME Publishing Company 2021-02 /pmc/articles/PMC7940892/ /pubmed/33708882 http://dx.doi.org/10.21037/atm-20-5155 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
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
Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome
title Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome
title_full Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome
title_fullStr Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome
title_full_unstemmed Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome
title_short Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome
title_sort comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with klippel-feil syndrome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940892/
https://www.ncbi.nlm.nih.gov/pubmed/33708882
http://dx.doi.org/10.21037/atm-20-5155
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