Literature DB >> 35690920

Identifying Bone Matrix Impairments in a Mouse Model of Neurofibromatosis Type 1 (NF1) by Clinically Translatable Techniques.

Rafay Ahmed1,2, Sasidhar Uppuganti1,2, Shrey Derasari3, Joshua Meyer3, Jacquelyn S Pennings1,4, Florent Elefteriou5,6, Jeffry S Nyman1,2,3,4,7.   

Abstract

Three-to-four percent of children with neurofibromatosis type 1 (NF1) present with unilateral tibia bowing, fracture, and recalcitrant healing. Alkaline phosphatase (ALP) enzyme therapy prevented poor bone mineralization and poor mechanical properties in mouse models of NF1 skeletal dysplasia; but transition to clinical trials is hampered by the lack of a technique that (i) identifies NF1 patients at risk of tibia bowing and fracture making them eligible for trial enrollment and (ii) monitors treatment effects on matrix characteristics related to bone strength. Therefore, we assessed the ability of matrix-sensitive techniques to provide characteristics that differentiate between cortical bone from mice characterized by postnatal loss of Nf1 in Osx-creTet-Off ;Nf1flox/flox osteoprogenitors (cKO) and from wild-type (WT) mice. Following euthanasia at two time points of bone disease progression, femur and tibia were harvested from both genotypes (n ≥ 8/age/sex/genotype). A reduction in the mid-diaphysis ultimate force during three-point bending at 20 weeks confirmed deleterious changes in bone induced by Nf1 deficiency, regardless of sex. Pooling females and males, low bound water (BW), and low cortical volumetric bone mineral density (Ct.vBMD) were the most accurate outcomes in distinguishing cKO from WT femurs with accuracy improving with age. Ct.vBMD and the average unloading slope (Avg-US) from cyclic reference point indentation tests were the most sensitive in differentiating WT from cKO tibias. Mineral-to-matrix ratio and carbonate substitution from Raman spectroscopy were not good classifiers. However, when combined with Ct.vBMD and BW (femur), they helped predict bending strength. Nf1 deficiency in osteoprogenitors negatively affected bone microstructure and matrix quality with deficits in properties becoming more pronounced with duration of Nf1 deficiency. Clinically measurable without ionizing radiation, BW and Avg-US are sensitive to deleterious changes in bone matrix in a preclinical model of NF1 bone dysplasia and require further clinical investigation as potential indicators of an onset of bone weakness in children with NF1.
© 2022 American Society for Bone and Mineral Research (ASBMR). © 2022 American Society for Bone and Mineral Research (ASBMR).

Entities:  

Keywords:  BONE QUALITY; BOUND WATER; GENETIC DISEASE; MECHANICAL TESTING; MICRO-COMPUTED TOMOGRAPHY; NUCLEAR MAGNETIC RESONANCE; RAMAN SPECTROSCOPY

Mesh:

Year:  2022        PMID: 35690920      PMCID: PMC9378557          DOI: 10.1002/jbmr.4633

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.390


  66 in total

Review 1.  A biomechanical perspective on bone quality.

Authors:  C J Hernandez; T M Keaveny
Journal:  Bone       Date:  2006-07-28       Impact factor: 4.398

Review 2.  RASopathies: The musculoskeletal consequences and their etiology and pathogenesis.

Authors:  John L Fowlkes; Kathryn M Thrailkill; R Clay Bunn
Journal:  Bone       Date:  2021-06-16       Impact factor: 4.398

Review 3.  Raman and Fourier transform infrared imaging for characterization of bone material properties.

Authors:  Erik A Taylor; Eve Donnelly
Journal:  Bone       Date:  2020-06-20       Impact factor: 4.398

4.  NF1 Somatic Mutation in Dystrophic Scoliosis.

Authors:  Rebecca L Margraf; Chad VanSant-Webb; Rong Mao; David H Viskochil; John Carey; Heather Hanson; Jacques D'Astous; Allie Grossmann; David A Stevenson
Journal:  J Mol Neurosci       Date:  2019-02-18       Impact factor: 3.444

5.  Guidelines for the assessment of bone density and microarchitecture in vivo using high-resolution peripheral quantitative computed tomography.

Authors:  D E Whittier; S K Boyd; A J Burghardt; J Paccou; A Ghasem-Zadeh; R Chapurlat; K Engelke; M L Bouxsein
Journal:  Osteoporos Int       Date:  2020-05-26       Impact factor: 4.507

6.  RF coil considerations for short-T2 MRI.

Authors:  R Adam Horch; Ken Wilkens; Daniel F Gochberg; Mark D Does
Journal:  Magn Reson Med       Date:  2010-12       Impact factor: 4.668

Review 7.  Pediatric DXA: technique and interpretation.

Authors:  Larry A Binkovitz; Maria J Henwood
Journal:  Pediatr Radiol       Date:  2006-05-20

8.  NF106: A Neurofibromatosis Clinical Trials Consortium Phase II Trial of the MEK Inhibitor Mirdametinib (PD-0325901) in Adolescents and Adults With NF1-Related Plexiform Neurofibromas.

Authors:  Brian D Weiss; Pamela L Wolters; Scott R Plotkin; Brigitte C Widemann; James H Tonsgard; Jaishri Blakeley; Jeffrey C Allen; Elizabeth Schorry; Bruce Korf; Nathan J Robison; Stewart Goldman; Alexander A Vinks; Chie Emoto; Tsuyoshi Fukuda; Coretta T Robinson; Gary Cutter; Lloyd Edwards; Eva Dombi; Nancy Ratner; Roger Packer; Michael J Fisher
Journal:  J Clin Oncol       Date:  2021-01-28       Impact factor: 44.544

9.  Towards the in vivo prediction of fragility fractures with Raman spectroscopy.

Authors:  Kevin Buckley; Jemma G Kerns; Jacqueline Vinton; Panagiotis D Gikas; Christian Smith; Anthony W Parker; Pavel Matousek; Allen E Goodship
Journal:  J Raman Spectrosc       Date:  2015-05-12       Impact factor: 3.133

10.  HR-pQCT imaging in children, adolescents and young adults: Systematic review and subgroup meta-analysis of normative data.

Authors:  Daddy Mata-Mbemba; Taryn Rohringer; Ala Ibrahim; Thomasin Adams-Webberc; Rahim Moineddin; Andrea S Doria; Reza Vali
Journal:  PLoS One       Date:  2019-12-13       Impact factor: 3.240

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