A key cause of low back pain is the degeneration of the
Aims. The presence of facet tropism has been correlated with an elevated susceptibility to lumbar disc pathology. Our objective was to evaluate the impact of facet tropism on chronic lumbosacral discogenic pain through the analysis of clinical data and finite element modelling (FEM). Methods. Retrospective analysis was conducted on clinical data, with a specific focus on the spinal units displaying facet tropism, utilizing FEM analysis for motion simulation. We studied 318 intervertebral levels in 156 patients who had undergone provocation discography. Significant predictors of clinical findings were identified by univariate and multivariate analyses. Loading conditions were applied in FEM simulations to mimic biomechanical effects on
Using deep learning and image processing technology, a standardized automatic quantitative analysis systerm of lumbar disc degeneration based on T2MRI is proposed to help doctors evaluate the prognosis of
Stem cell therapy for the
Monomeric C reactive protein (mCRP) presents important proinflammatory effects in endothelial cells, leukocytes, or chondrocytes. However, CRP in its pentameric form exhibits weak anti-inflammatory activity. It is used as a biomarker to follow severity and progression in infectious or inflammatory diseases, such as
Aims. CRP is an acute-phase protein that is used as a biomarker to follow severity and progression in infectious and inflammatory diseases. Its pathophysiological mechanisms of action are still poorly defined. CRP in its pentameric form exhibits weak anti-inflammatory activity. The monomeric isoform (mCRP) exerts potent proinflammatory properties in chondrocytes, endothelial cells, and leucocytes. No data exist regarding mCRP effects in human
Introduction. Multiple studies have identified Cutibacterium acnes (C.acnes) and other microbes in
Aims. This study aimed, through bioinformatics analysis and in vitro experiment validation, to identify the key extracellular proteins of
Degeneration of the
The use of mesenchymal stem cell (MSCs) for
Low back pain (LBP) is the main cause of disability worldwide and is primarily triggered by
Despite promising results in attempting
Abstract. Objectives. Develop a methodology to assess the long term mechanical behavior of
Mechanical loading is important to maintain the homeostasis of the
Objectives. Interleukin 18 (IL-18) is a regulatory cytokine that degrades the disc matrix. Bone morphogenetic protein-2 (BMP-2) stimulates synthesis of the disc extracellular matrix. However, the combined effects of BMP-2 and IL-18 on human
Aims. Interleukin (IL)-1β is one of the major pathogenic regulators during the pathological development of
Low back pain affects 80% of the population with half of cases attributed to
This study investigates the relationships between
Aims. In this investigation, we administered oxidative stress to nucleus pulposus cells (NPCs), recognized DNA-damage-inducible transcript 4 (DDIT4) as a component in
Purpose of study and background. Clinical researchers use Pfirrmann classification for grading
It has been proposed that
Purpose and Background. The
The
Back pain is a leading cause of disability worldwide and it is primarily considered to be triggered by
Objectives. Low back pain is strongly associated with degeneration of the
Background. Chronic low back pain is strongly linked to degeneration of the
Introduction. Vertebral compression fractures are the most common type of osteoporotic fracture. Though 89% of clinical fractures occur anteriorly, it is challenging to replicate these ex vivo with the underlying
Low back pain is strongly associated with degeneration of the
Degenerative disc disease (DDD) is a common cause of lower back pain. Calcification of the
Despite the clinical relevance of back pain and
Introduction and Objective.
A novel ex vivo
Little information exists when using cell viability assays to evaluate cells within whole tissue, particularly specific types such as the
Osteoarthritis (OA) is a painful and disabling chronic condition that constitutes a major challenge to health care worldwide. There is currently no cure for OA and the analgesic pharmaceuticals available do not offer adequate and sustained pain relief, often being associated with significant undesirable side effects. Another disease associated with degenerating joints is
Introduction:
The clinical uptake of minimally invasive interventions for
Background. The association between lumbar
Background. Magnetic resonance imaging (MRI) algorithm identifies end stage severely degenerated disc as ‘black’, and a moderately degenerate to non-degenerated disc as ‘white’. MRI is based on signal intensity changes that identifies loss of proteoglycans, water, and general radial bulging but lacks association with microscopic features such as fissure, endplate damage, persistent inflammatory catabolism that facilitates proteoglycan loss leading to ultimate collapse of annulus with neo-innervation and vascularization, as an indicator of pain. Thus, we propose a novel machine learning based imaging tool that combines quantifiable microscopic histopathological features with macroscopic signal intensities changes for hybrid assessment of disc degeneration. Methods. 100-disc tissue were collected from patients undergoing surgeries and cadaveric controls, age range of 35–75 years. MRI Pfirrmann grades were collected in each case, and each disc specimen were processed to identify the 1) region of interest 2) analytical imaging vector 3) data assimilation, grading and scoring pattern 4) identification of machine learning algorithm 5) predictive learning parameters to form an interface between hardware and software operating system. Results. Kernel algorithm defines non-linear data in xy histogram. X,Y values are scored histological spatial variables that signifies loss of proteoglycans, blood vessels ingrowth, and occurrence of tears or fissures in the inner and outer annulus regions mapped with the dampening and graded series of signal intensity changes. Conclusion. To our knowledge this study is the first to propose a machine learning method between microscopic spatial tissue changes and macroscopic signal intensity grades in the
Introduction and Objective. Low back pain (LBP) is a major cause of long-term disability in adults worldwide and it is frequently attributed to