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From genetics to epigenetics to unravel the etiology of adolescent idiopathic scoliosis

Fecha de publicación:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Pérez-Machado G.
  • Berenguer-Pascual E.
  • García-López E.
  • Garzón M.J.
  • Mena-Mollá S.
  • Pallardó F.V.
  • Viña J.R.
  • García-Giménez J.L.

Abstract

Scoliosis is defined as the three-dimensional (3D) structural deformity of the spine with a radiological lateral Cobb angle (a measure of spinal curvature) of =10° that can be caused by congenital, developmental or degenerative problems. However, those cases whose etiology is still unknown, and affect healthy children and adolescents during growth, are the commonest form of spinal deformity, known as adolescent idiopathic scoliosis (AIS). In AIS management, early diagnosis and the accurate prediction of curve progression are most important because they can decrease negative long-term effects of AIS treatment, such as unnecessary bracing, frequent exposure to radiation, as well as saving the high costs of AIS treatment. Despite efforts made to identify a method or technique capable of predicting AIS progression, this challenge still remains unresolved. Genetics and epigenetics, and the application of machine learning and artificial intelligence technologies, open up new avenues to not only clarify AIS etiology, but to also identify potential biomarkers that can substantially improve the clinical management of these patients. This review presents the most relevant biomarkers to help explain the etiopathogenesis of AIS and provide new potential biomarkers to be validated in large clinical trials so they can be finally implemented into clinical settings. © 2020

Datos de la publicación

ISSN/ISSNe:
8756-3282, 1873-2763

BONE  ELSEVIER SCIENCE INC

Tipo:
Review
Páginas:
-
PubMed:
32768685
Enlace a otro recurso:
www.scopus.com
Factor de Impacto:
1,346 SCImago ℠
Cuartil:
Q1 SCImago ℠

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Keywords

  • Adolescent; Artificial Intelligence; Child; Epigenesis, Genetic; Humans; Kyphosis; Scoliosis; Spine; antagomir; long untranslated RNA; microRNA; adolescent idiopathic scoliosis; Cobb angle; disease exacerbation; DNA methylation; early diagnosis; epigenetics; exercise; genetic linkage; genome-wide association study; heredity; human; pathogenesis; pathophysiology; prevalence; prognosis; Review; single nucleotide polymorphism; spine radiography; spine surgery; adolescent; artificial intelligence; child; genetic epigenesis; genetics; kyphosis; scoliosis; spine

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