Wengang Wang1, Tailong Chen1, Yibin Liu2, Songsong Wang2, Ningning Yang3,4, Ming Luo5. 1. Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, People's Republic of China. 2. Department of Emergency, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, People's Republic of China. 3. Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, People's Republic of China. yangningningzzu@126.com. 4. Department of Emergency, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, People's Republic of China. yangningningzzu@126.com. 5. Department of Orthopedics, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, People's Republic of China. luoming1027@whu.edu.cn.
Abstract
PURPOSE: Genetic diagnosis is a promising approach because several single-nucleotide polymorphisms (SNPs) associated with adolescent idiopathic scoliosis (AIS) progression have been reported. We review the predictive value of SNPs in curve progression of adolescent idiopathic scoliosis. METHODS: We reviewed DNA-based prognostic testing to predict curve progression. Then, the multiple polymorphisms in loci related to AIS progression were also reviewed, and we elucidated the predictive value of SNPs from four functional perspectives, including endocrine metabolism, neuromuscular system, cartilage and extracellular matrix, enzymes, and cytokines. RESULTS: The ScoliScores were less successful predictors than expected, and the weak power of predictive SNPs might account for its failure. Susceptibility loci in ESR1, ESR2, GPER, and IGF1, which related to endocrine metabolism, have been reported to predict AIS progression. Neuromuscular imbalance might be a potential mechanism of scoliosis, and SNPs in LBX1, NTF3, and SOCS3 have been reported to predict the curve progression of AIS. Susceptibility loci in SOX9, MATN1, AJAP1, MMP9, and TIMP2, which are related to cartilage and extracellular matrix, are also potentially related to AIS progression. Enzymes and cytokines play essential roles in regulating bone metabolism and embryonic development. SNPs in BNC2, SLC39A8, TGFB1, IL-6, IL-17RC, and CHD7 were suggested as predictive loci for AIS curve progression. CONCLUSIONS: Many promising SNPs have been identified to predict the curve progression of AIS. However, conflicting results from replication studies and different ethnic groups hamper their reliability. Convincing SNPs from multiethnic populations and functional verification are needed.
PURPOSE: Genetic diagnosis is a promising approach because several single-nucleotide polymorphisms (SNPs) associated with adolescent idiopathic scoliosis (AIS) progression have been reported. We review the predictive value of SNPs in curve progression of adolescent idiopathic scoliosis. METHODS: We reviewed DNA-based prognostic testing to predict curve progression. Then, the multiple polymorphisms in loci related to AIS progression were also reviewed, and we elucidated the predictive value of SNPs from four functional perspectives, including endocrine metabolism, neuromuscular system, cartilage and extracellular matrix, enzymes, and cytokines. RESULTS: The ScoliScores were less successful predictors than expected, and the weak power of predictive SNPs might account for its failure. Susceptibility loci in ESR1, ESR2, GPER, and IGF1, which related to endocrine metabolism, have been reported to predict AIS progression. Neuromuscular imbalance might be a potential mechanism of scoliosis, and SNPs in LBX1, NTF3, and SOCS3 have been reported to predict the curve progression of AIS. Susceptibility loci in SOX9, MATN1, AJAP1, MMP9, and TIMP2, which are related to cartilage and extracellular matrix, are also potentially related to AIS progression. Enzymes and cytokines play essential roles in regulating bone metabolism and embryonic development. SNPs in BNC2, SLC39A8, TGFB1, IL-6, IL-17RC, and CHD7 were suggested as predictive loci for AIS curve progression. CONCLUSIONS: Many promising SNPs have been identified to predict the curve progression of AIS. However, conflicting results from replication studies and different ethnic groups hamper their reliability. Convincing SNPs from multiethnic populations and functional verification are needed.
Authors: Carrie E Bartley; Burt Yaszay; Tracey P Bastrom; Suken A Shah; Baron S Lonner; Jahangir Asghar; Firoz Miyanji; Amer Samdani; Peter O Newton Journal: J Bone Joint Surg Am Date: 2017-07-19 Impact factor: 5.284
Authors: Jason Pui Yin Cheung; Dino Samartzis; Prudence Wing Hang Cheung; Ka Hei Leung; Kenneth Man Chee Cheung; Keith Dip-Kei Luk Journal: J Pediatr Orthop B Date: 2015-11 Impact factor: 1.041
Authors: Jack C Cheng; René M Castelein; Winnie C Chu; Aina J Danielsson; Matthew B Dobbs; Theodoros B Grivas; Christina A Gurnett; Keith D Luk; Alain Moreau; Peter O Newton; Ian A Stokes; Stuart L Weinstein; R Geoffrey Burwell Journal: Nat Rev Dis Primers Date: 2015-09-24 Impact factor: 52.329