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Keles A, Ozisik PA, Algin O, Celebi FV, Bendechache M. Decoding pulsatile patterns of cerebrospinal fluid dynamics through enhancing interpretability in machine learning. Sci Rep 2024; 14:17854. [PMID: 39090141 PMCID: PMC11294568 DOI: 10.1038/s41598-024-67928-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 07/17/2024] [Indexed: 08/04/2024] Open
Abstract
Analyses of complex behaviors of Cerebrospinal Fluid (CSF) have become increasingly important in diseases diagnosis. The changes of the phase-contrast magnetic resonance imaging (PC-MRI) signal formed by the velocity of flowing CSF are represented as a set of velocity-encoded images or maps, which can be thought of as signal data in the context of medical imaging, enabling the evaluation of pulsatile patterns throughout a cardiac cycle. However, automatic segmentation of the CSF region in a PC-MRI image is challenging, and implementing an explained ML method using pulsatile data as a feature remains unexplored. This paper presents lightweight machine learning (ML) algorithms to perform CSF lumen segmentation in spinal, utilizing sets of velocity-encoded images or maps as a feature. The Dataset contains 57 PC-MRI slabs by 3T MRI scanner from control and idiopathic scoliosis participants are involved to collect data. The ML models are trained with 2176 time series images. Different cardiac periods image (frame) numbers of PC-MRIs are interpolated in the preprocessing step to align to features of equal size. The fivefold cross-validation procedure is used to estimate the success of the ML models. Additionally, the study focusses on enhancing the interpretability of the highest-accuracy eXtreme gradient boosting (XGB) model by applying the shapley additive explanations (SHAP) technique. The XGB algorithm presented its highest accuracy, with an average fivefold accuracy of 0.99% precision, 0.95% recall, and 0.97% F1 score. We evaluated the significance of each pulsatile feature's contribution to predictions, offering a more profound understanding of the model's behavior in distinguishing CSF lumen pixels with SHAP. Introducing a novel approach in the field, develop ML models offer comprehension into feature extraction and selection from PC-MRI pulsatile data. Moreover, the explained ML model offers novel and valuable insights to domain experts, contributing to an enhanced scholarly understanding of CSF dynamics.
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Affiliation(s)
- Ayse Keles
- Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Ankara Medipol University, Ankara, Turkey.
| | - Pinar Akdemir Ozisik
- Department of Neurosurgery, School of Medicine, Ankara Yildirim Beyazit University, Ankara, Turkey
- Ankara City Hospital, Orthopedics and Neurology Tower, Bilkent, 06800, Ankara, Turkey
| | - Oktay Algin
- Interventional MR Clinical R&D Institute, Ankara University, Ankara, Turkey
- National MR Research Center (UMRAM), Bilkent University, Ankara, Turkey
- Radiology Department, Medical Faculty, Ankara University, Ankara, Turkey
| | - Fatih Vehbi Celebi
- Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Ankara Yildirim Beyazit University, 06010, Ayvalı, Keçiören, Ankara, Turkey
| | - Malika Bendechache
- Lero and ADAPT Research Centres, School of Computer Science, University of Galway, Galway, Ireland
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Tomita Y, Yagi M, Seki F, Komaki Y, Suzuki S, Watanabe K, Matsumoto M, Nakamura M. The significance of cerebrospinal fluid dynamics in adolescent idiopathic scoliosis using time-SLIP MRI. Sci Rep 2024; 14:12214. [PMID: 38806612 PMCID: PMC11133356 DOI: 10.1038/s41598-024-63135-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/24/2024] [Indexed: 05/30/2024] Open
Abstract
Adolescent idiopathic scoliosis (AIS) affects approximately 3% of the global population. Recent studies have drawn attention to abnormalities in the dynamics of the CSF as potential contributors. This research aims to employ the Time-Spatial Labeling Inversion Pulse (Time-SLIP) MRI to assess and analyze cerebrospinal fluid (CSF) dynamics in AIS patients. 101 AIS patients underwent Time-SLIP MRI. Images were taken at the mid-cervical and craniocervical junction regions. The sum of the maximum movement distances of CSF on the ventral and dorsal sides of the spinal canal within a single timeframe was defined and measured as Travel Distance (TD). Correlations between TD, age, Cobb angle, and Risser grade were analyzed. TD comparisons were made across Lenke classifications. TD for all patients was a weak correlation with the Cobb angle (r = - 0.16). Comparing TD between Lenke type 1 and 5, type 5 patients display significantly shorter TD (p < 0.05). In Risser5 patients with Lenke type 5 showed a significant negative correlation between Cobb angle and TD (r = - 0.44). Lenke type 5 patients had significantly shorter CSF TD compared to type1, correlating with worsening Cobb angles. Further analysis and exploration are required to understand the mechanism of onset and progression.
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Affiliation(s)
- Yusuke Tomita
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Mitsuru Yagi
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.
- Department of Orthopaedic Surgery, School of Medicine, International University of Health and Welfare, 852 Hatakeda Narita, Chiba, 286-0124, Japan.
| | - Fumiko Seki
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
| | - Yuji Komaki
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
| | - Satoshi Suzuki
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kota Watanabe
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Morio Matsumoto
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Masaya Nakamura
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
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Bessen MA, Gayen CD, Quarrington RD, Walls AC, Leonard AV, Kurtcuoglu V, Jones CF. Characterising spinal cerebrospinal fluid flow in the pig with phase-contrast magnetic resonance imaging. Fluids Barriers CNS 2023; 20:5. [PMID: 36653870 PMCID: PMC9850564 DOI: 10.1186/s12987-022-00401-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/13/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Detecting changes in pulsatile cerebrospinal fluid (CSF) flow may assist clinical management decisions, but spinal CSF flow is relatively understudied. Traumatic spinal cord injuries (SCI) often cause spinal cord swelling and subarachnoid space (SAS) obstruction, potentially causing pulsatile CSF flow changes. Pigs are emerging as a favoured large animal SCI model; therefore, the aim of this study was to characterise CSF flow along the healthy pig spine. METHODS Phase-contrast magnetic resonance images (PC-MRI), retrospectively cardiac gated, were acquired for fourteen laterally recumbent, anaesthetised and ventilated, female domestic pigs (22-29 kg). Axial images were obtained at C2/C3, T8/T9, T11/T12 and L1/L2. Dorsal and ventral SAS regions of interest (ROI) were manually segmented. CSF flow and velocity were determined throughout a cardiac cycle. Linear mixed-effects models, with post-hoc comparisons, were used to identify differences in peak systolic/diastolic flow, and maximum velocity (cranial/caudal), across spinal levels and dorsal/ventral SAS. Velocity wave speed from C2/C3 to L1/L2 was calculated. RESULTS PC-MRI data were obtained for 11/14 animals. Pulsatile CSF flow was observed at all spinal levels. Peak systolic flow was greater at C2/C3 (dorsal: - 0.32 ± 0.14 mL/s, ventral: - 0.15 ± 0.13 mL/s) than T8/T9 dorsally (- 0.04 ± 0.03 mL/s; p < 0.001), but not different ventrally (- 0.08 ± 0.08 mL/s; p = 0.275), and no difference between thoracolumbar levels (p > 0.05). Peak diastolic flow was greater at C2/C3 (0.29 ± 0.08 mL/s) compared to T8/T9 (0.03 ± 0.03 mL/s, p < 0.001) dorsally, but not different ventrally (p = 1.000). Cranial and caudal maximum velocity at C2/C3 were greater than thoracolumbar levels dorsally (p < 0.001), and T8/T9 and L1/L2 ventrally (p = 0.022). Diastolic velocity wave speed was 1.41 ± 0.39 m/s dorsally and 1.22 ± 0.21 m/s ventrally, and systolic velocity wave speed was 1.02 ± 0.25 m/s dorsally and 0.91 ± 0.22 m/s ventrally. CONCLUSIONS In anaesthetised and ventilated domestic pigs, spinal CSF has lower pulsatile flow and slower velocity wave propagation, compared to humans. This study provides baseline CSF flow at spinal levels relevant for future SCI research in this animal model.
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Affiliation(s)
- Madeleine Amy Bessen
- grid.1010.00000 0004 1936 7304Adelaide Spinal Research Group and Centre for Orthopaedics and Trauma Research, Adelaide Medical School, The University of Adelaide, Level 7, Adelaide Health and Medical Sciences Building, The University of Adelaide, North Terrace, Adelaide, SA 5005 Australia
| | - Christine Diana Gayen
- grid.1010.00000 0004 1936 7304Adelaide Spinal Research Group and Centre for Orthopaedics and Trauma Research, Adelaide Medical School, The University of Adelaide, Level 7, Adelaide Health and Medical Sciences Building, The University of Adelaide, North Terrace, Adelaide, SA 5005 Australia ,grid.1010.00000 0004 1936 7304Translational Neuropathology Laboratory, School of Biomedicine, The University of Adelaide, Level 2, Helen Mayo North Building, The University of Adelaide, Frome Road, Adelaide, SA 5005 Australia
| | - Ryan David Quarrington
- grid.1010.00000 0004 1936 7304Adelaide Spinal Research Group and Centre for Orthopaedics and Trauma Research, Adelaide Medical School, The University of Adelaide, Level 7, Adelaide Health and Medical Sciences Building, The University of Adelaide, North Terrace, Adelaide, SA 5005 Australia ,grid.1010.00000 0004 1936 7304School of Electrical and Mechanical Engineering, The University of Adelaide, North Terrace, Adelaide, SA 5005 Australia
| | - Angela Catherine Walls
- grid.430453.50000 0004 0565 2606Clinical and Research Imaging Centre, South Australian Health and Medical Research Institute, National Imaging Facility, Northern Pod, SAHMRI, North Terrace, Adelaide, SA 5000 Australia
| | - Anna Victoria Leonard
- grid.1010.00000 0004 1936 7304Translational Neuropathology Laboratory, School of Biomedicine, The University of Adelaide, Level 2, Helen Mayo North Building, The University of Adelaide, Frome Road, Adelaide, SA 5005 Australia
| | - Vartan Kurtcuoglu
- grid.7400.30000 0004 1937 0650Institute of Physiology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Zurich Center for Integrative Human Physiology, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Neuroscience Center Zurich, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Claire Frances Jones
- grid.1010.00000 0004 1936 7304Adelaide Spinal Research Group and Centre for Orthopaedics and Trauma Research, Adelaide Medical School, The University of Adelaide, Level 7, Adelaide Health and Medical Sciences Building, The University of Adelaide, North Terrace, Adelaide, SA 5005 Australia ,grid.1010.00000 0004 1936 7304School of Electrical and Mechanical Engineering, The University of Adelaide, North Terrace, Adelaide, SA 5005 Australia ,grid.416075.10000 0004 0367 1221Department of Orthopaedics, Royal Adelaide Hospital, Adelaide, SA 5000 Australia
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Sergeenko OM, Savin DM, Molotkov YV, Saifutdinov MS. The use of MRI in the study of patients with idiopathic scoliosis: a systematic review of the literature. HIRURGIÂ POZVONOČNIKA (SPINE SURGERY) 2022. [DOI: 10.14531/ss2022.4.30-39] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Objective. To analyze the frequency of hidden neuraxial pathology in idiopathic scoliosis (IS), to substantiate the need for MRI in IS and to identify promising areas for the use of MRI in the examination of patients with IS.Material and Methods. The literature review was carried out using the PubMed and Google Scholar databases. Of the 780 papers on the research topic, 65 were selected after removing duplicates and checking for inclusion/exclusion criteria. As a result, 49 original studies were included in the analysis. Level of evidence – II.Results. According to modern literature, the main direction of using MRI in idiopathic scoliosis is the search for predictors of latent pathology of the spinal cord and craniovertebral junction. The frequency of neuraxial pathology in idiopathic scoliosis is 8 % for adolescent IS and 16 % for early IS. The main predictors of neuraxial pathology are male sex, early age of deformity onset, left-sided thoracic curve and thoracic hyperkyphosis. MRI in IS may be a useful addition to radiological diagnostic methods to identify risk factors and to study degenerative changes in the spine.Conclusion. MRI of the spine should be performed in the early stages of IS to detect latent spinal cord tethering. In type I Chiari anomalies, there is a possibility that early neurosurgery can prevent the development of scoliosis. The main signs of latent neuraxial pathology in IS are early progression of spinal deformity, left-sided thoracic curve, male gender and thoracic kyphosis over 40° according to Cobb.MRI can be used as an effective non-invasive tool in research aimed at identifying risk factors for IS, including helping to track early degeneration of intervertebral discs.
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Affiliation(s)
- O. M. Sergeenko
- National Ilizarov Medical Research Centre for Orthopaedics and Traumatology
6 Marii Ulyanovoy str., Kurgan, 640014, Russia
| | - D. M. Savin
- National Ilizarov Medical Research Center for Traumatology and Orthopedics
6 Marii Ulyanovoy str., Kurgan, 640014, Russia
| | - Yu. V. Molotkov
- National Ilizarov Medical Research Center for Traumatology and Orthopedics
6 Marii Ulyanovoy str., Kurgan, 640014, Russia
| | - M. S. Saifutdinov
- National Ilizarov Medical Research Center for Traumatology
and Orthopedics
6 Marii Ulyanovoy str., Kurgan, 640014, Russia
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Meyer-Miner A, Van Gennip JL, Henke K, Harris MP, Ciruna B. using a new katnb1 scoliosis model. iScience 2022; 25:105028. [PMID: 36105588 PMCID: PMC9464966 DOI: 10.1016/j.isci.2022.105028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/15/2022] [Accepted: 08/23/2022] [Indexed: 11/18/2022] Open
Affiliation(s)
- Anne Meyer-Miner
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, The University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Jenica L.M. Van Gennip
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, The University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Katrin Henke
- Department of Orthopedic Research, Boston Children’s Hospital, Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Department of Orthopaedics and Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Matthew P. Harris
- Department of Orthopedic Research, Boston Children’s Hospital, Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Brian Ciruna
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, The University of Toronto, Toronto, ON M5S 1A8, Canada
- Corresponding author
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Chen CW, Tseng YH, Kao CC, Ngo YG, Lee CY, Yang TY, Lin YH, Huang YK. Venous Segmental Flow Changes after Superficial Venous Intervention Demonstrating by Quantitative Phase-Contrast Magnetic Resonance Analysis: Preliminary Data from a Longitudinal Cohort Study. J Pers Med 2022; 12:jpm12061000. [PMID: 35743784 PMCID: PMC9224938 DOI: 10.3390/jpm12061000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/11/2022] [Accepted: 06/16/2022] [Indexed: 11/17/2022] Open
Abstract
The effects of superficial venous intervention on hemodynamics can be quantified using two-dimensional phase-contrast magnetic resonance imaging (2D PC-MRI). Twelve patients received pre- and postintervention 2D PC-MRI analysis using quantitative hemodynamic parameters. Fifteen healthy volunteers served as controls. The 2D PC-MRI results of the target limbs (limbs scheduled for intervention for venous reflux) differed from those of the controls in terms of stroke volume (SV), forward flow volume (FFV), absolute stroke volume (ASV), and mean flux (MF) in all venous segments. The velocity time integral (VTI) and mean velocity (MV) of the popliteal vein (PV) segments were similar between the target limbs and controls preoperatively. After intervention, the target limbs exhibited an increase in VTI and MV in the femoral vein (FV) and PV segments. We compared the target and nontreated limbs of the individual patients preoperatively and postoperatively to minimalize individual bias. All QFlow parameter ratios in the FV segment increased after venous intervention (VTI, p = 0.025; MV, p = 0.024). In the PV segment, FFV and ASV increased significantly (p = 0.035 and 0.024, respectively). After interventions, the volume (FFV and ASV) of the PV segment and the efficiency (VTI and MV) of the FV segment significantly increased.
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Affiliation(s)
- Chien-Wei Chen
- Department of Diagnostic Radiology, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan;
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (C.-C.K.); (Y.G.N.); (C.-Y.L.); (T.-Y.Y.)
| | - Yuan-Hsi Tseng
- Department of Obstetrics and Gynecology, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan;
| | - Chih-Chen Kao
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (C.-C.K.); (Y.G.N.); (C.-Y.L.); (T.-Y.Y.)
- Division of Thoracic and Cardiovascular Surgery, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan
- Division of Thoracic and Cardiovascular Surgery, Chia Yi Hospital, MOHW, Chiayi 61363, Taiwan
| | - Yeh Giin Ngo
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (C.-C.K.); (Y.G.N.); (C.-Y.L.); (T.-Y.Y.)
- Department of Obstetrics and Gynecology, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan;
| | - Chung-Yuan Lee
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (C.-C.K.); (Y.G.N.); (C.-Y.L.); (T.-Y.Y.)
- Department of Obstetrics and Gynecology, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan;
| | - Teng-Yao Yang
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (C.-C.K.); (Y.G.N.); (C.-Y.L.); (T.-Y.Y.)
- Cardiology, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan;
| | - Yu-Hui Lin
- Cardiology, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan;
| | - Yao-Kuang Huang
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (C.-C.K.); (Y.G.N.); (C.-Y.L.); (T.-Y.Y.)
- Division of Thoracic and Cardiovascular Surgery, Chia Yi Chang Gung Memorial Hospital, Chiayi 61363, Taiwan
- Division of Thoracic and Cardiovascular Surgery, Chia Yi Hospital, MOHW, Chiayi 61363, Taiwan
- Correspondence:
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Muñoz-Montecinos C, Romero A, Sepúlveda V, Vira MÁ, Fehrmann-Cartes K, Marcellini S, Aguilera F, Caprile T, Fuentes R. Turning the Curve Into Straight: Phenogenetics of the Spine Morphology and Coordinate Maintenance in the Zebrafish. Front Cell Dev Biol 2022; 9:801652. [PMID: 35155449 PMCID: PMC8826430 DOI: 10.3389/fcell.2021.801652] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/31/2021] [Indexed: 12/13/2022] Open
Abstract
The vertebral column, or spine, provides mechanical support and determines body axis posture and motion. The most common malformation altering spine morphology and function is adolescent idiopathic scoliosis (AIS), a three-dimensional spinal deformity that affects approximately 4% of the population worldwide. Due to AIS genetic heterogenicity and the lack of suitable animal models for its study, the etiology of this condition remains unclear, thus limiting treatment options. We here review current advances in zebrafish phenogenetics concerning AIS-like models and highlight the recently discovered biological processes leading to spine malformations. First, we focus on gene functions and phenotypes controlling critical aspects of postembryonic aspects that prime in spine architecture development and straightening. Second, we summarize how primary cilia assembly and biomechanical stimulus transduction, cerebrospinal fluid components and flow driven by motile cilia have been implicated in the pathogenesis of AIS-like phenotypes. Third, we highlight the inflammatory responses associated with scoliosis. We finally discuss recent innovations and methodologies for morphometrically characterize and analyze the zebrafish spine. Ongoing phenotyping projects are expected to identify novel and unprecedented postembryonic gene functions controlling spine morphology and mutant models of AIS. Importantly, imaging and gene editing technologies are allowing deep phenotyping studies in the zebrafish, opening new experimental paradigms in the morphometric and three-dimensional assessment of spinal malformations. In the future, fully elucidating the phenogenetic underpinnings of AIS etiology in zebrafish and humans will undoubtedly lead to innovative pharmacological treatments against spinal deformities.
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Affiliation(s)
- Carlos Muñoz-Montecinos
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Adrián Romero
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Vania Sepúlveda
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - María Ángela Vira
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Karen Fehrmann-Cartes
- Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Universidad de las Américas, Concepción, Chile
| | - Sylvain Marcellini
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Felipe Aguilera
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Teresa Caprile
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
| | - Ricardo Fuentes
- Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
- Grupo de Procesos en Biología del Desarrollo (GDeP), Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile
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