Aims. This study explored the shared genetic traits and molecular interactions between postmenopausal osteoporosis (POMP) and
We aimed to develop a gene signature that predicts the occurrence of postmenopausal osteoporosis (PMOP) by studying its genetic mechanism. Five datasets were obtained from the Gene Expression Omnibus database. Unsupervised consensus cluster analysis was used to determine new PMOP subtypes. To determine the central genes and the core modules related to PMOP, the weighted gene co-expression network analysis (WCGNA) was applied. Gene Ontology enrichment analysis was used to explore the biological processes underlying key genes. Logistic regression univariate analysis was used to screen for statistically significant variables. Two algorithms were used to select important PMOP-related genes. A logistic regression model was used to construct the PMOP-related gene profile. The receiver operating characteristic area under the curve, Harrell’s concordance index, a calibration chart, and decision curve analysis were used to characterize PMOP-related genes. Then, quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the expression of the PMOP-related genes in the gene signature.Aims
Methods
Aims. The decrease in the number of satellite cells (SCs), contributing to myofibre formation and reconstitution, and their proliferative capacity, leads to muscle loss, a condition known as
Aims. Vertebrates have adapted to life on Earth and its constant gravitational field, which exerts load on the body and influences the structure and function of tissues. While the effects of microgravity on muscle and bone homeostasis are well described, with
MicroRNAs (miRNAs) are a class of small non-coding RNAs that have emerged as potential predictive, prognostic, and therapeutic biomarkers, relevant to many pathophysiological conditions including limb immobilization, osteoarthritis,
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