This study aimed to explore the biological and clinical importance of dysregulated key genes in osteoarthritis (OA) patients at the cartilage level to find potential biomarkers and targets for diagnosing and treating OA. Six sets of gene expression profiles were obtained from the Gene Expression Omnibus database. Differential expression analysis, weighted gene coexpression network analysis (WGCNA), and multiple machine-learning algorithms were used to screen crucial genes in osteoarthritic cartilage, and genome enrichment and functional annotation analyses were used to decipher the related categories of gene function. Single-sample gene set enrichment analysis was performed to analyze immune cell infiltration. Correlation analysis was used to explore the relationship among the hub genes and immune cells, as well as markers related to articular cartilage degradation and bone mineralization.Aims
Methods
The purpose of this study was to develop an accurate, reliable and easily applicable method for determining the anatomical location of the joint line during revision knee arthroplasty. The transepicondylar width (TEW), the perpendicular distance between the medial and lateral epicondyles and the distal articular surfaces (DMAD, DLAD) and the distance between the medial and lateral epicondyles and the posterior articular surfaces (PMAD, DLAD) were measured in 40 knees from 20 formalin-fixed adult cadavers (11 male and nine female; mean age at death 56.9 years, Objectives
Methods
An important measure for the diagnosis and monitoring of knee osteoarthritis is the minimum joint space width (mJSW). This requires accurate alignment of the x-ray beam with the tibial plateau, which may not be accomplished in practice. We investigate the feasibility of a new mJSW measurement method from stereo radiographs using 3D statistical shape models (SSM) and evaluate its sensitivity to changes in the mJSW and its robustness to variations in patient positioning and bone geometry. A validation study was performed using five cadaver specimens. The actual mJSW was varied and images were acquired with variation in the cadaver positioning. For comparison purposes, the mJSW was also assessed from plain radiographs. To study the influence of SSM model accuracy, the 3D mJSW measurement was repeated with models from the actual bones, obtained from CT scans.Objectives
Materials and Methods
Previous genome-wide association studies (GWAS) have reported significant association of the single nucleotide polymorphism (SNP) rs8044769 in the fat mass and obesity-associated gene (FTO) with osteoarthritis (OA) risk in European populations. However, these findings have not been confirmed in Chinese populations. We systematically genotyped rs8044769 and evaluated the association between the genetic variants and OA risk in a case-controlled study including 196 OA cases and 442 controls in a northern Chinese population. Genotyping was performed using the Sequenom MassARRAY iPLEX platform.Objectives
Methods
A lack of connection between surgeons and patients in evaluating
the outcome of total knee arthroplasty (TKA) has led to the search
for the ideal patient-reported outcome measure (PROM) to evaluate
these procedures. We hypothesised that the desired psychometric properties
of the ideal outcome tool have not been uniformly addressed in studies describing
TKA PROMS. A systematic review was conducted investigating one or more facets
of patient-reported scores for measuring primary TKA outcome. Studies
were analysed by study design, subject demographics, surgical technique,
and follow-up adequacy, with the ‘gold standard’ of psychometric
properties being systematic development, validity, reliability,
and responsiveness.Objectives
Methods
A patient-centred approach, usually achieved through shared decision
making, has the potential to help improve decision making around
knee arthroplasty surgery. However, such an approach requires an
understanding of the factors involved in patient decision making.
This review’s objective is to systematically examine the qualitative literature
surrounding patients’ decision making in knee arthroplasty. A systematic literature review using Medline and Embase was conducted
to identify qualitative studies that examined patients’ decision
making around knee arthroplasty. An aggregated account of what is
known about patients’ decision making in knee arthroplasties is
provided.Objectives
Methods
We are entering a new era with governmental bodies
taking an increasingly guiding role, gaining control of registries,
demanding direct access with release of open public information
for quality comparisons between hospitals. This review is written
by physicians and scientists who have worked with the Swedish Knee
Arthroplasty Register (SKAR) periodically since it began. It reviews
the history of the register and describes the methods used and lessons
learned. Cite this article:
Lower limb muscle power is thought to influence outcome following
total knee replacement (TKR). Post-operative deficits in muscle
strength are commonly reported, although not explained. We hypothesised
that post-operative recovery of lower limb muscle power would be
influenced by the number of satellite cells in the quadriceps muscle at
time of surgery. Biopsies were obtained from 29 patients undergoing TKR. Power
output was assessed pre-operatively and at six and 26 weeks post-operatively
with a Leg Extensor Power Rig and data were scaled for body weight.
Satellite cell content was assessed in two separate analyses, the
first cohort (n = 18) using immunohistochemistry and the second
(n = 11) by a new quantitative polymerase chain reaction (q-PCR)
protocol for Pax-7 (generic satellite cell marker) and Neural Cell
Adhesion Molecule (NCAM; marker of activated cells).Objectives
Methods
This study aimed to investigate time-dependent gene expression
of injured human anterior cruciate ligament (ACL), and to evaluate
the histological changes of the ACL remnant in terms of cellular
characterisation. Injured human ACL tissues were harvested from 105 patients undergoing
primary ACL reconstruction and divided into four phases based on
the period from injury to surgery. Phase I was <
three weeks,
phase II was three to eight weeks, phase III was eight to 20 weeks,
and phase IV was ≥ 21 weeks. Gene expressions of these tissues were
analysed in each phase by quantitative real-time polymerase chain
reaction using selected markers (collagen types 1 and 3, biglycan,
decorin, α-smooth muscle actin, IL-6, TGF-β1, MMP-1, MMP-2 and TIMP-1).
Immunohistochemical staining was also performed using primary antibodies
against CD68, CD55, Stat3 and phosphorylated-Stat3 (P-Stat3). Objectives
Methods
