Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect

Abstract Background Previous studies have analyzed paraspinal muscle imbalance in idiopathic scoliosis (IS) with methods including imaging, histology and electromyography. However, whether paraspinal muscle imbalance is the cause or the consequence of spinal deformities in IS remains unclear. Compar...

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Main Authors: Zhen Wang, Junduo Zhao, Haining Tan, Yang Jiao, Xin Chen, Jianxiong Shen
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:JOR Spine
Subjects:
Online Access:https://doi.org/10.1002/jsp2.1318
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author Zhen Wang
Junduo Zhao
Haining Tan
Yang Jiao
Xin Chen
Jianxiong Shen
author_facet Zhen Wang
Junduo Zhao
Haining Tan
Yang Jiao
Xin Chen
Jianxiong Shen
author_sort Zhen Wang
collection DOAJ
description Abstract Background Previous studies have analyzed paraspinal muscle imbalance in idiopathic scoliosis (IS) with methods including imaging, histology and electromyography. However, whether paraspinal muscle imbalance is the cause or the consequence of spinal deformities in IS remains unclear. Comparison of paraspinal muscle imbalance between IS and congenital scoliosis (CS) may shed some light on the causality of paraspinal muscle imbalance and IS. This study aimed to elucidate the generality and individuality of paraspinal muscle imbalance between IS and CS from gene expression. Methods Five pairs of surgical‐treated IS and CS patients were matched. Bilateral paraspinal muscles at the apex were collected for transcriptome sequencing. Differentially expressed genes (DEGs) between the convexity and concavity in both IS and CS were identified. Comparison of DEGs between IS and CS was conducted to discriminate IS‐specific DEGs from DEGs shared by both IS and CS. Bioinformatics analysis was performed. The top 10 hub genes in the protein–protein interaction (PPI) network of IS‐specific DEGs were validated by quantitative PCR (qPCR) in 10 pairs of IS and CS patients. Results A total of 370 DEGs were identified in IS, whereas 380 DEGs were identified in CS. Comparison of DEGs between IS and CS identified 59 DEGs shared by IS and CS, along with 311 DEGs specific for IS. These IS‐specific DEGs were enriched in response to external stimulus and signaling receptor binding in GO terms and calcium signaling pathway in KEGG pathways. The top 10 hub genes in the PPI network of IS‐specific DEGs include BDKRB1, PRH1‐TAS2R14, CNR2, NPY4R, HTR1E, CXCL3, ICAM1, ALB, ADIPOQ, and GCGR. Among these hub genes, the asymmetrical expression of PRH1‐TAS2R14 and ADIPOQ in IS but not CS were validated by qPCR. Conclusions Transcriptomic differences in bilateral paraspinal muscles between the convexity and concavity in IS share few similarities with those in CS.
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spelling doaj.art-ee4c293433504ce5b17ee99e21f0ada62024-03-26T14:08:39ZengWileyJOR Spine2572-11432024-03-0171n/an/a10.1002/jsp2.1318Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspectZhen Wang0Junduo Zhao1Haining Tan2Yang Jiao3Xin Chen4Jianxiong Shen5Department of Orthopedics Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing ChinaDepartment of Orthopedics Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing ChinaDepartment of Orthopedics Beijing Friendship Hospital, Capital Medical University Beijing ChinaDepartment of Orthopedics Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing ChinaDepartment of Orthopedics Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing ChinaDepartment of Orthopedics Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing ChinaAbstract Background Previous studies have analyzed paraspinal muscle imbalance in idiopathic scoliosis (IS) with methods including imaging, histology and electromyography. However, whether paraspinal muscle imbalance is the cause or the consequence of spinal deformities in IS remains unclear. Comparison of paraspinal muscle imbalance between IS and congenital scoliosis (CS) may shed some light on the causality of paraspinal muscle imbalance and IS. This study aimed to elucidate the generality and individuality of paraspinal muscle imbalance between IS and CS from gene expression. Methods Five pairs of surgical‐treated IS and CS patients were matched. Bilateral paraspinal muscles at the apex were collected for transcriptome sequencing. Differentially expressed genes (DEGs) between the convexity and concavity in both IS and CS were identified. Comparison of DEGs between IS and CS was conducted to discriminate IS‐specific DEGs from DEGs shared by both IS and CS. Bioinformatics analysis was performed. The top 10 hub genes in the protein–protein interaction (PPI) network of IS‐specific DEGs were validated by quantitative PCR (qPCR) in 10 pairs of IS and CS patients. Results A total of 370 DEGs were identified in IS, whereas 380 DEGs were identified in CS. Comparison of DEGs between IS and CS identified 59 DEGs shared by IS and CS, along with 311 DEGs specific for IS. These IS‐specific DEGs were enriched in response to external stimulus and signaling receptor binding in GO terms and calcium signaling pathway in KEGG pathways. The top 10 hub genes in the PPI network of IS‐specific DEGs include BDKRB1, PRH1‐TAS2R14, CNR2, NPY4R, HTR1E, CXCL3, ICAM1, ALB, ADIPOQ, and GCGR. Among these hub genes, the asymmetrical expression of PRH1‐TAS2R14 and ADIPOQ in IS but not CS were validated by qPCR. Conclusions Transcriptomic differences in bilateral paraspinal muscles between the convexity and concavity in IS share few similarities with those in CS.https://doi.org/10.1002/jsp2.1318bioinformatic analysiscongenital scoliosisdifferentially expressed genesidiopathic scoliosisparaspinal muscle imbalance
spellingShingle Zhen Wang
Junduo Zhao
Haining Tan
Yang Jiao
Xin Chen
Jianxiong Shen
Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect
JOR Spine
bioinformatic analysis
congenital scoliosis
differentially expressed genes
idiopathic scoliosis
paraspinal muscle imbalance
title Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect
title_full Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect
title_fullStr Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect
title_full_unstemmed Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect
title_short Comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect
title_sort comparative analysis of paraspinal muscle imbalance between idiopathic scoliosis and congenital scoliosis from the transcriptome aspect
topic bioinformatic analysis
congenital scoliosis
differentially expressed genes
idiopathic scoliosis
paraspinal muscle imbalance
url https://doi.org/10.1002/jsp2.1318
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