The effect of age on the microarchitecture and profile of gene expression in femoral head and neck bone from patients with osteoarthritis.

Ageing Bone microarchitecture Femur Gene expression Osteoarthritis

Journal

Bone reports
ISSN: 2352-1872
Titre abrégé: Bone Rep
Pays: United States
ID NLM: 101646176

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 18 03 2020
revised: 26 05 2020
accepted: 02 06 2020
entrez: 20 6 2020
pubmed: 20 6 2020
medline: 20 6 2020
Statut: epublish

Résumé

Ageing of the skeleton is characterised by decreased bone mineral density, reduced strength, and increased risk of fracture. Although it is known that these changes are determined by the activities of bone cells through the processes of bone modelling and remodelling, details of the molecular mechanisms that underlie age-related changes in bone are still missing. Here, we analysed age-related changes in bone microarchitecture along with global gene expression in samples obtained from patients with osteoarthritis (OA). We hypothesised that changes would be evident in both microarchitecture and gene expression and aimed to identify novel molecular mechanisms that underlie ageing processes in bone. Samples of femoral head and neck were obtained from patients undergoing hip arthroplasty for OA, who were either ≤60 years or ≥70 years of age. Bone microarchitecture was analysed in cores of trabecular bone from the femoral head (17 from the younger group and 18 from the older), and cortical bone from the femoral neck (25 younger/22 older), using a Skyscan 1172 microCT scanner (Bruker). Gene expression was compared between the two age groups in 20 trabecular samples from each group, and 10 cortical samples from each group, using Clariom S Human microarrays (ThermoFisher Scientific). We found no significant changes between the two age groups in indices of trabecular or cortical bone microarchitecture. Gene expression analysis identified seven genes that had higher expression in the older group, including the transcription factor

Identifiants

pubmed: 32551338
doi: 10.1016/j.bonr.2020.100287
pii: S2352-1872(20)30047-4
pii: 100287
pmc: PMC7292911
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100287

Informations de copyright

© 2020 The Authors. Published by Elsevier Inc.

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Auteurs

Dorit Naot (D)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Maureen Watson (M)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Ally J Choi (AJ)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

David S Musson (DS)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Karen E Callon (KE)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Mark Zhu (M)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Ryan Gao (R)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

William Caughey (W)

Middlemore Hospital, Counties Manukau District Health Board, Auckland 1062, New Zealand.

Rocco P Pitto (RP)

Department of Surgery, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Jacob T Munro (JT)

Department of Surgery, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Anne Horne (A)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Gregory D Gamble (GD)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Nicola Dalbeth (N)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Ian R Reid (IR)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Jillian Cornish (J)

Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Classifications MeSH