Literature DB >> 33493654

Peak trabecular bone microstructure predicts rate of estrogen-deficiency-induced bone loss in rats.

Yihan Li1, Wei-Ju Tseng2, Chantal M J de Bakker3, Hongbo Zhao4, Rebecca Chung5, X Sherry Liu6.   

Abstract

Postmenopausal osteoporosis affects a large number of women worldwide. Reduced estrogen levels during menopause lead to accelerated bone remodeling, resulting in low bone mass and increased fracture risk. Both peak bone mass and the rate of bone loss are important predictors of postmenopausal osteoporosis risk. However, whether peak bone mass and/or bone microstructure directly influence the rate of bone loss following menopause remains unclear. Our study aimed to establish the relationship between peak bone mass/microstructure and the rate of bone loss in response to estrogen deficiency following ovariectomy (OVX) surgery in rats of homogeneous background by tracking the skeletal changes using in vivo micro-computed tomography (μCT) and three-dimensional (3D) image registrations. Linear regression analyses demonstrated that the peak bone microstructure, but not peak bone mass, was highly predictive of the rate of OVX-induced bone loss. In particular, the baseline trabecular thickness was found to have the highest correlation with the degree of OVX-induced bone loss and trabecular stiffness reduction. Given the same bone mass, the rats with thicker baseline trabeculae had a lower rate of trabecular microstructure and stiffness deterioration after OVX. Moreover, further evaluation to track the changes within each individual trabecula via our novel individual trabecular dynamics (ITD) analysis suggested that a trabecular network with thicker trabeculae is less likely to disconnect or perforate in response to estrogen deficiency, resulting a lower degree of bone loss. Taken together, these findings indicate that the rate of estrogen-deficiency-induced bone loss could be predicted by peak bone microstructure, most notably the trabecular thickness. Given the same bone mass, a trabecular bone phenotype with thin trabeculae may be a risk factor toward accelerated postmenopausal bone loss.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bone loss predictor; Bone mechanical properties; Bone microstructure; In vivo micro-computed tomography; Osteoporosis; Ovariectomy

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Substances:

Year:  2021        PMID: 33493654      PMCID: PMC7920939          DOI: 10.1016/j.bone.2021.115862

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  70 in total

1.  Determinants of bone loss from the femoral neck in women of different ages.

Authors:  L J Melton; E J Atkinson; M K O'Connor; W M O'Fallon; B L Riggs
Journal:  J Bone Miner Res       Date:  2000-01       Impact factor: 6.741

2.  Complete volumetric decomposition of individual trabecular plates and rods and its morphological correlations with anisotropic elastic moduli in human trabecular bone.

Authors:  X Sherry Liu; Paul Sajda; Punam K Saha; Felix W Wehrli; Grant Bevill; Tony M Keaveny; X Edward Guo
Journal:  J Bone Miner Res       Date:  2008-02       Impact factor: 6.741

3.  Dynamic simulation of three dimensional architectural and mechanical alterations in human trabecular bone during menopause.

Authors:  X Sherry Liu; Angela H Huang; X Henry Zhang; Paul Sajda; Baohua Ji; X Edward Guo
Journal:  Bone       Date:  2008-04-29       Impact factor: 4.398

Review 4.  Osteonal and hemi-osteonal remodeling: the spatial and temporal framework for signal traffic in adult human bone.

Authors:  A M Parfitt
Journal:  J Cell Biochem       Date:  1994-07       Impact factor: 4.429

5.  Bone loss dynamics result in trabecular alignment in aging and ovariectomized rats.

Authors:  Jan H Waarsing; Judd S Day; Jan A N Verhaar; Antwan G H Ederveen; Harrie Weinans
Journal:  J Orthop Res       Date:  2006-05       Impact factor: 3.494

6.  Low bone mass and fast rate of bone loss at menopause: equal risk factors for future fracture: a 15-year follow-up study.

Authors:  B J Riis; M A Hansen; A M Jensen; K Overgaard; C Christiansen
Journal:  Bone       Date:  1996-07       Impact factor: 4.398

7.  Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study.

Authors:  S C E Schuit; M van der Klift; A E A M Weel; C E D H de Laet; H Burger; E Seeman; A Hofman; A G Uitterlinden; J P T M van Leeuwen; H A P Pols
Journal:  Bone       Date:  2004-01       Impact factor: 4.398

Review 8.  Prediction of fracture risk in patients with osteoporosis: a brief review.

Authors:  Rod Marianne Arceo-Mendoza; Pauline Camacho
Journal:  Womens Health (Lond)       Date:  2015-08-03

9.  Cortical and trabecular morphology is altered in the limb bones of mice artificially selected for faster skeletal growth.

Authors:  Saira Farooq; Shannon Leussink; Leah M Sparrow; Marta Marchini; Hayley M Britz; Sarah L Manske; Campbell Rolian
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

Review 10.  Trabecular bone score: a noninvasive analytical method based upon the DXA image.

Authors:  Barbara C Silva; William D Leslie; Heinrich Resch; Olivier Lamy; Olga Lesnyak; Neil Binkley; Eugene V McCloskey; John A Kanis; John P Bilezikian
Journal:  J Bone Miner Res       Date:  2014-03       Impact factor: 6.741

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  1 in total

1.  Effects of continuous subcutaneous insulin infusion on the microstructures, mechanical properties and bone mineral compositions of lumbar spines in type 2 diabetic rats.

Authors:  Xiaorong Hu; He Gong; Aiqi Hou; Xiaodan Wu; Peipei Shi; Yingying Zhang
Journal:  BMC Musculoskelet Disord       Date:  2022-05-30       Impact factor: 2.562

  1 in total

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