Level and change in bone microarchitectural parameters and their relationship with previous fracture and established bone mineral density loci.


Journal

Bone
ISSN: 1873-2763
Titre abrégé: Bone
Pays: United States
ID NLM: 8504048

Informations de publication

Date de publication:
06 2021
Historique:
received: 18 12 2020
revised: 02 03 2021
accepted: 18 03 2021
pubmed: 27 3 2021
medline: 10 7 2021
entrez: 26 3 2021
Statut: ppublish

Résumé

Osteoporosis is characterised by a reduction of bone mineral density (BMD) and predisposition to fracture. Bone microarchitecture, measured by high resolution peripheral quantitative computed tomography (HR-pQCT), has been related to fragility fractures and BMD and has been the subject of large-scale genome-wide analysis. We investigated whether fracture was related to baseline values and longitudinal changes in bone microarchitecture and whether bone microarchitecture was associated with established BMD loci. 115 males and 99 females (aged 72-81 at baseline) from the Hertfordshire Cohort Study (HCS) were analysed. Fracture history was determined in 2011-2012 by self-report and vertebral fracture assessment. Participants underwent HR-pQCT scans of the distal radius and tibia in 2011-2012 and 2017. Previous fracture in relation to baseline values and changes in tibial HR-pQCT parameters was examined using sex-adjusted logistic regression with and without adjustment for age, sociodemographic, lifestyle and clinical characteristics; baseline values and changes in parameters associated with previous fracture were then examined in relation to four established BMD loci after adjustment for sex and age. Previous fracture was related to: higher trabecular area (fully-adjusted odds ratio [95% CI] per SD greater baseline value: 2.18 [1.27,3.73], p = 0.005); lower total volumetric BMD (0.53 [0.34,0.84], p = 0.007), cortical area (0.53 [0.30,0.95], p = 0.032), cortical BMD (0.56 [0.36,0.88], p = 0.011) and cortical thickness (0.45 [0.27,0.77], p = 0.004); and greater declines in trabecular BMD (p = 0.001). Associations were robust in sex- and fully-adjusted analysis. Relationships between BMD loci and these HR-pQCT parameters were weak: rs3801387 (WNT16) was related to decline in trabecular BMD (p = 0.011) but no other associations were significant (p > 0.05). Baseline values of HR-pQCT parameters and greater decline in trabecular BMD were associated with fracture. Change in trabecular BMD was associated with WNT16 which has been demonstrated to influence bone health in murine models and human genome-wide association studies (GWAS).

Sections du résumé

BACKGROUND
Osteoporosis is characterised by a reduction of bone mineral density (BMD) and predisposition to fracture. Bone microarchitecture, measured by high resolution peripheral quantitative computed tomography (HR-pQCT), has been related to fragility fractures and BMD and has been the subject of large-scale genome-wide analysis. We investigated whether fracture was related to baseline values and longitudinal changes in bone microarchitecture and whether bone microarchitecture was associated with established BMD loci.
METHODS
115 males and 99 females (aged 72-81 at baseline) from the Hertfordshire Cohort Study (HCS) were analysed. Fracture history was determined in 2011-2012 by self-report and vertebral fracture assessment. Participants underwent HR-pQCT scans of the distal radius and tibia in 2011-2012 and 2017. Previous fracture in relation to baseline values and changes in tibial HR-pQCT parameters was examined using sex-adjusted logistic regression with and without adjustment for age, sociodemographic, lifestyle and clinical characteristics; baseline values and changes in parameters associated with previous fracture were then examined in relation to four established BMD loci after adjustment for sex and age.
RESULTS
Previous fracture was related to: higher trabecular area (fully-adjusted odds ratio [95% CI] per SD greater baseline value: 2.18 [1.27,3.73], p = 0.005); lower total volumetric BMD (0.53 [0.34,0.84], p = 0.007), cortical area (0.53 [0.30,0.95], p = 0.032), cortical BMD (0.56 [0.36,0.88], p = 0.011) and cortical thickness (0.45 [0.27,0.77], p = 0.004); and greater declines in trabecular BMD (p = 0.001). Associations were robust in sex- and fully-adjusted analysis. Relationships between BMD loci and these HR-pQCT parameters were weak: rs3801387 (WNT16) was related to decline in trabecular BMD (p = 0.011) but no other associations were significant (p > 0.05).
CONCLUSION
Baseline values of HR-pQCT parameters and greater decline in trabecular BMD were associated with fracture. Change in trabecular BMD was associated with WNT16 which has been demonstrated to influence bone health in murine models and human genome-wide association studies (GWAS).

Identifiants

pubmed: 33766802
pii: S8756-3282(21)00099-5
doi: 10.1016/j.bone.2021.115937
pmc: PMC7611749
mid: EMS124338
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

115937

Subventions

Organisme : Department of Health
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_ST_U13058
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12011/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UP_A620_1014
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_21000
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_21003
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0400491
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585819
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585824
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_21001
Pays : United Kingdom

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Références

Osteoporos Int. 2006 Dec;17(12):1726-33
pubmed: 16983459
Bone. 2004 Nov;35(5):1029-37
pubmed: 15542027
J Bone Miner Res. 2011 May;26(5):965-73
pubmed: 21541999
Nat Med. 2014 Nov;20(11):1279-88
pubmed: 25306233
PLoS Genet. 2012 Jul;8(7):e1002718
pubmed: 22792070
J Bone Miner Res. 2017 Jun;32(6):1243-1251
pubmed: 28276092
Am J Hum Genet. 2007 Sep;81(3):559-75
pubmed: 17701901
Dig Dis Sci. 2013 Aug;58(8):2282-92
pubmed: 23512405
J Clin Endocrinol Metab. 2005 Dec;90(12):6508-15
pubmed: 16189253
PLoS Genet. 2012 Jul;8(7):e1002745
pubmed: 22792071
Prostate. 2016 Apr;76(5):434-44
pubmed: 26708806
Bone. 2016 Jul;88:131-137
pubmed: 27130873
J Clin Epidemiol. 2004 Mar;57(3):252-8
pubmed: 15066685
J Bone Miner Res. 2016 Dec;31(12):2085-2097
pubmed: 27476799
Bone. 2018 Sep;114:246-251
pubmed: 29960080
Nat Genet. 2012 Apr 15;44(5):491-501
pubmed: 22504420
Technol Health Care. 1998 Dec;6(5-6):329-37
pubmed: 10100936
PLoS Genet. 2013;9(2):e1003247
pubmed: 23437003
J Bone Miner Res. 2015 Apr;30(4):621-9
pubmed: 25327362
J Bone Miner Res. 2018 Feb;33(2):328-337
pubmed: 28960489
J Bone Miner Res. 1993 Sep;8(9):1137-48
pubmed: 8237484
Med Eng Phys. 2007 Dec;29(10):1096-105
pubmed: 17229586
J Bone Miner Res. 2018 Apr;33(4):589-597
pubmed: 29363165
Age Ageing. 2009 Sep;38(5):594-9
pubmed: 19628681
Calcif Tissue Int. 2014 Feb;94(2):191-201
pubmed: 24057069
J Bone Miner Res. 2006 Jan;21(1):124-31
pubmed: 16355281
Mol Oncol. 2020 Feb;14(2):447-461
pubmed: 31758671
J Clin Endocrinol Metab. 2010 Aug;95(8):3940-8
pubmed: 20534768
Osteoporos Int. 2020 Sep;31(9):1607-1627
pubmed: 32458029
J Bone Miner Res. 1996 Apr;11(4):530-4
pubmed: 8992884
J Bone Miner Res. 2008 Mar;23(3):392-9
pubmed: 17997712
F1000Res. 2019 Jan 21;8:82
pubmed: 30828442
Int J Epidemiol. 2005 Dec;34(6):1234-42
pubmed: 15964908
Osteoporos Int. 2018 Jul;29(7):1581-1589
pubmed: 29808230
Nat Genet. 2016 Nov;48(11):1443-1448
pubmed: 27694958
Bone. 2010 Sep;47(3):519-28
pubmed: 20561906
J Bone Miner Res. 2013 Mar;28(3):547-58
pubmed: 23074152
Nat Genet. 2017 Oct;49(10):1468-1475
pubmed: 28869591
Sci Rep. 2018 Jun 7;8(1):8711
pubmed: 29880826
Int J Neurosci. 2020 Aug 26;:1-10
pubmed: 32791870
Bone. 2012 Jun;50(6):1304-10
pubmed: 22445540

Auteurs

Nicholas R Fuggle (NR)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; The Alan Turing Institute, London, UK. Electronic address: nrf@mrc.soton.ac.uk.

Leo D Westbury (LD)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: lw@mrc.soton.ac.uk.

Gregorio Bevilacqua (G)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: gb@mrc.soton.ac.uk.

Philip Titcombe (P)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: pt@mrc.soton.ac.uk.

Mícheál Ó Breasail (M)

MRC Nutrition and Bone Health Research Group, Cambridge, UK. Electronic address: michealo@mrc-lmb.cam.ac.uk.

Nicholas C Harvey (NC)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: nch@mrc.soton.ac.uk.

Elaine M Dennison (EM)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Victoria University of Wellington, Wellington, New Zealand. Electronic address: emd@mrc.soton.ac.uk.

Cyrus Cooper (C)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK. Electronic address: cc@mrc.soton.ac.uk.

Kate A Ward (KA)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. Electronic address: kw@mrc.soton.ac.uk.

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