Literature DB >> 35838878

Functional Heterogeneity Within Osteoclast Populations-a Critical Review of Four Key Publications that May Change the Paradigm of Osteoclasts.

Neha Sharma1,2,3, Megan M Weivoda4, Kent Søe5,6,7.   

Abstract

PURPOSE OF REVIEW: In this review, we critically evaluate the literature for osteoclast heterogeneity, including heterogeneity in osteoclast behavior, which has hitherto been unstudied and has only recently come to attention. We give a critical review centered on four recent high-impact papers on this topic and aim to shed light on the elusive biology of osteoclasts and focus on the variant features of osteoclasts that diverge from the classical viewpoint. RECENT
FINDINGS: Osteoclasts originate from the myeloid lineage and are best known for their unique ability to resorb bone. For decades, osteoclasts have been defined simply as multinucleated cells positive for tartrate-resistant acid phosphatase activity and quantified relative to the bone perimeter or surface in histomorphometric analyses. However, several recent, high-profile studies have demonstrated the existence of heterogeneous osteoclast populations, with variable origins and functions depending on the microenvironment. This includes long-term persisting osteoclasts, inflammatory osteoclasts, recycling osteoclasts (osteomorphs), and bone resorption modes. Most of these findings have been revealed through murine studies and have helped identify new targets for human studies. These studies have also uncovered distinct sets of behavioral patterns in heterogeneous osteoclast cultures. The underlying osteoclast heterogeneity likely drives differences in bone remodeling, altering patient risk for osteoporosis and fracture. Thus, identifying the underlying key features of osteoclast heterogeneity may help in better targeting bone diseases.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bone resorption; Erythromyeloid; Inflammatory osteoclasts; Longevity; Osteoclast; Osteomorphs

Mesh:

Substances:

Year:  2022        PMID: 35838878     DOI: 10.1007/s11914-022-00738-7

Source DB:  PubMed          Journal:  Curr Osteoporos Rep        ISSN: 1544-1873            Impact factor:   5.163


  35 in total

1.  Osteocyte viability with glucocorticoid treatment: relation to histomorphometry.

Authors:  P N Sambrook; D R Hughes; A E Nelson; B G Robinson; R S Mason
Journal:  Ann Rheum Dis       Date:  2003-12       Impact factor: 19.103

Review 2.  Osteoporosis in Older Persons: Old and New Players.

Authors:  Jesse Zanker; Gustavo Duque
Journal:  J Am Geriatr Soc       Date:  2018-12-20       Impact factor: 5.562

Review 3.  Osteoporosis.

Authors:  Juliet E Compston; Michael R McClung; William D Leslie
Journal:  Lancet       Date:  2019-01-26       Impact factor: 79.321

4.  Excess mortality following hip fracture in patients with diabetes according to age: a nationwide population-based cohort study of 154,047 hip fracture patients.

Authors:  Christian M Madsen; Christopher Jantzen; Debbie Norring-Agerskov; Fie J Vojdeman; Bo Abrahamsen; Jes B Lauritzen; Henrik L Jørgensen
Journal:  Age Ageing       Date:  2019-07-01       Impact factor: 10.668

5.  Evidence of sequential remodeling in rat trabecular bone: morphology, dynamic histomorphometry, and changes during skeletal maturation.

Authors:  R Baron; R Tross; A Vignery
Journal:  Anat Rec       Date:  1984-01

6.  Factors associated with bisphosphonate treatment failure in postmenopausal women with primary osteoporosis.

Authors:  E Cairoli; C Eller-Vainicher; F M Ulivieri; V V Zhukouskaya; S Palmieri; V Morelli; P Beck-Peccoz; I Chiodini
Journal:  Osteoporos Int       Date:  2014-02-08       Impact factor: 4.507

7.  Directed differentiation of hematopoietic precursors and functional osteoclasts from human ES and iPS cells.

Authors:  Agamemnon E Grigoriadis; Marion Kennedy; Aline Bozec; Fiona Brunton; Gudrun Stenbeck; In-Hyun Park; Erwin F Wagner; Gordon M Keller
Journal:  Blood       Date:  2010-01-11       Impact factor: 22.113

8.  Impact of osteoporotic fracture type and subsequent fracture on mortality: the Tromsø Study.

Authors:  D Alarkawi; D Bliuc; T Tran; L A Ahmed; N Emaus; A Bjørnerem; L Jørgensen; T Christoffersen; J A Eisman; J R Center
Journal:  Osteoporos Int       Date:  2019-10-26       Impact factor: 4.507

9.  Myeloid blasts are the mouse bone marrow cells prone to differentiate into osteoclasts.

Authors:  Teun J de Vries; Ton Schoenmaker; Berend Hooibrink; Pieter J M Leenen; Vincent Everts
Journal:  J Leukoc Biol       Date:  2009-06       Impact factor: 4.962

10.  Association Between Drug Treatments for Patients With Osteoporosis and Overall Mortality Rates: A Meta-analysis.

Authors:  Steven R Cummings; Li-Yung Lui; Richard Eastell; Isabel E Allen
Journal:  JAMA Intern Med       Date:  2019-11-01       Impact factor: 21.873

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