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Bone & Joint 360
Vol. 6, Issue 6 | Pages 38 - 40
1 Dec 2017


Bone & Joint Research
Vol. 6, Issue 12 | Pages 665 - 666
1 Dec 2017
Hamilton DF Giesinger JM Giesinger K


Bone & Joint Research
Vol. 6, Issue 12 | Pages 640 - 648
1 Dec 2017
Xia B Li Y Zhou J Tian B Feng L

Objectives

Osteoporosis is a chronic disease. The aim of this study was to identify key genes in osteoporosis.

Methods

Microarray data sets GSE56815 and GSE56814, comprising 67 osteoporosis blood samples and 62 control blood samples, were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified in osteoporosis using Limma package (3.2.1) and Meta-MA packages. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed to identify biological functions. Furthermore, the transcriptional regulatory network was established between the top 20 DEGs and transcriptional factors using the UCSC ENCODE Genome Browser. Receiver operating characteristic (ROC) analysis was applied to investigate the diagnostic value of several DEGs.


Bone & Joint 360
Vol. 6, Issue 6 | Pages 2 - 10
1 Dec 2017
Luokkala T Watts AC


Bone & Joint 360
Vol. 6, Issue 6 | Pages 41 - 43
1 Dec 2017
Foy MA


Bone & Joint Research
Vol. 6, Issue 12 | Pages 656 - 664
1 Dec 2017
Morita W Dakin SG Snelling SJB Carr AJ

Objectives

Emerging evidence indicates that tendon disease is an active process with inflammation that is critical to disease onset and progression. However, the key cytokines responsible for driving and sustaining inflammation have not been identified.

Methods

We performed a systematic review of the literature using MEDLINE (U.S. National Library of Medicine, Bethesda, Maryland) in March 2017. Studies reporting the expression of interleukins (ILs), tumour necrosis factor alpha (TNF-α) and interferon gamma in diseased human tendon tissues, and animal models of tendon injury or exercise in comparison with healthy control tissues were included.


Bone & Joint 360
Vol. 6, Issue 6 | Pages 46 - 46
1 Dec 2017


Bone & Joint 360
Vol. 6, Issue 6 | Pages 22 - 24
1 Dec 2017


Bone & Joint 360
Vol. 6, Issue 6 | Pages 17 - 20
1 Dec 2017


Bone & Joint 360
Vol. 6, Issue 6 | Pages 33 - 35
1 Dec 2017


Bone & Joint 360
Vol. 6, Issue 6 | Pages 28 - 31
1 Dec 2017


Bone & Joint Research
Vol. 6, Issue 12 | Pages 649 - 655
1 Dec 2017
Liu Y Zhu H Hong H Wang W Liu F

Objectives

Recently, high failure rates of metal-on-metal (MOM) hip implants have raised concerns of cobalt toxicity. Adverse reactions occur to cobalt nanoparticles (CoNPs) and cobalt ions (Co2+) during wear of MOM hip implants, but the toxic mechanism is not clear.

Methods

To evaluate the protective effect of zinc ions (Zn2+), Balb/3T3 mouse fibroblast cells were pretreated with 50 μM Zn2+ for four hours. The cells were then exposed to different concentrations of CoNPs and Co2+ for four hours, 24 hours and 48 hours. The cell viabilities, reactive oxygen species (ROS) levels, and inflammatory cytokines were measured.


Bone & Joint 360
Vol. 6, Issue 6 | Pages 20 - 22
1 Dec 2017


Bone & Joint 360
Vol. 6, Issue 6 | Pages 25 - 28
1 Dec 2017


Bone & Joint Research
Vol. 6, Issue 11 | Pages 623 - 630
1 Nov 2017
Suh D Kang K Son J Kwon O Baek C Koh Y

Objectives

Malalignment of the tibial component could influence the long-term survival of a total knee arthroplasty (TKA). The object of this study was to investigate the biomechanical effect of varus and valgus malalignment on the tibial component under stance-phase gait cycle loading conditions.

Methods

Validated finite element models for varus and valgus malalignment by 3° and 5° were developed to evaluate the effect of malalignment on the tibial component in TKA. Maximum contact stress and contact area on a polyethylene insert, maximum contact stress on patellar button and the collateral ligament force were investigated.


Bone & Joint Research
Vol. 6, Issue 11 | Pages 619 - 620
1 Nov 2017
Murray IR Murray AD Wordie SJ Oliver CW Murray AW Simpson AHRW


The Bone & Joint Journal
Vol. 99-B, Issue 11 | Pages 1420 - 1430
1 Nov 2017
Azboy I Barrack R Thomas AM Haddad FS Parvizi J

The number of arthroplasties being performed increases each year. Patients undergoing an arthroplasty are at risk of venous thromboembolism (VTE) and appropriate prophylaxis has been recommended. However, the optimal protocol and the best agent to minimise VTE under these circumstances are not known. Although many agents may be used, there is a difference in their efficacy and the risk of bleeding. Thus, the selection of a particular agent relies on the balance between the desire to minimise VTE and the attempt to reduce the risk of bleeding, with its undesirable, and occasionally fatal, consequences.

Acetylsalicylic acid (aspirin) is an agent for VTE prophylaxis following arthroplasty. Many studies have shown its efficacy in minimising VTE under these circumstances. It is inexpensive and well-tolerated, and its use does not require routine blood tests. It is also a ‘milder’ agent and unlikely to result in haematoma formation, which may increase both the risk of infection and the need for further surgery. Aspirin is also unlikely to result in persistent wound drainage, which has been shown to be associated with the use of agents such as low-molecular-weight heparin (LMWH) and other more aggressive agents.

The main objective of this review was to summarise the current evidence relating to the efficacy of aspirin as a VTE prophylaxis following arthroplasty, and to address some of the common questions about its use.

There is convincing evidence that, taking all factors into account, aspirin is an effective, inexpensive, and safe form of VTE following arthroplasty in patients without a major risk factor for VTE, such as previous VTE.

Cite this article: Bone Joint J 2017;99-B:1420–30.


Bone & Joint Research
Vol. 6, Issue 11 | Pages 621 - 622
1 Nov 2017
Queen RM


Bone & Joint Research
Vol. 6, Issue 11 | Pages 631 - 639
1 Nov 2017
Blyth MJG Anthony I Rowe P Banger MS MacLean A Jones B

Objectives

This study reports on a secondary exploratory analysis of the early clinical outcomes of a randomised clinical trial comparing robotic arm-assisted unicompartmental knee arthroplasty (UKA) for medial compartment osteoarthritis of the knee with manual UKA performed using traditional surgical jigs. This follows reporting of the primary outcomes of implant accuracy and gait analysis that showed significant advantages in the robotic arm-assisted group.

Methods

A total of 139 patients were recruited from a single centre. Patients were randomised to receive either a manual UKA implanted with the aid of traditional surgical jigs, or a UKA implanted with the aid of a tactile guided robotic arm-assisted system. Outcome measures included the American Knee Society Score (AKSS), Oxford Knee Score (OKS), Forgotten Joint Score, Hospital Anxiety Depression Scale, University of California at Los Angeles (UCLA) activity scale, Short Form-12, Pain Catastrophising Scale, somatic disease (Primary Care Evaluation of Mental Disorders Score), Pain visual analogue scale, analgesic use, patient satisfaction, complications relating to surgery, 90-day pain diaries and the requirement for revision surgery.


Bone & Joint Research
Vol. 6, Issue 11 | Pages 612 - 618
1 Nov 2017
Yin C Suen W Lin S Wu X Li G Pan X

Objectives

This study looked to analyse the expression levels of microRNA-140-3p and microRNA-140-5p in synovial fluid, and their correlations to the severity of disease regarding knee osteoarthritis (OA).

Methods

Knee joint synovial fluid samples were collected from 45 patients with OA of the knee (15 mild, 15 moderate and 15 severe), ten healthy volunteers, ten patients with gouty arthritis, and ten with rheumatoid arthritis. The Kellgren–Lawrence grading (KLG) was used to assess the radiological severity of knee OA, and the patients were stratified into mild (KLG < 2), moderate (KLG = 2), and severe (KLG > 2). The expression of miR-140-3p and miR-140-5p of individual samples was measured by SYBR Green quantitative polymerase chain reaction (PCR) analysis. The expression of miR-140-3p and miR-140-5p was normalised to U6 internal control using the 2-△△CT method. All data were processed using SPSS software.