Aims. Degenerative cervical spondylosis (DCS) is a common musculoskeletal disease that encompasses a wide range of progressive degenerative changes and affects all components of the cervical spine. DCS imposes very large social and
Background and Purpose. Non-specific chronic low back pain (NSCLBP) poses a significant disability and
A statement of the purposes of the study and background. Lower back pain (LBP) is one of the ten leading causes of disease burden globally, producing significant detrimental effects on physical and emotional wellbeing whilst having a substantial
Purpose. This review aims to explore the methodologies used for estimating the direct and indirect costs attributed to back pain in developed countries. Methods. Six databases were searched to uncover studies about the direct and indirect costs of back pain published in English upto November 2016. Data extracted included study characteristics, cost categories and analysis methods. Results were synthesised descriptively. Results. The search identified 8009 potential studies, of which 40 were included for data extraction. The included studies reported data from 14 industrialised countries with considerably varying methodologies. Most of the studies (n=25) followed a retrospective study design and cost perspective was largely societal (n=26). Nearly half of the selected studies included indirect costs in their analysis as well as direct costs; and the proportion of indirect costs in most of the studies far outweighed the direct costs (3:1 ratio). The analysis method used most frequently was the top-down approach (n=13) followed by bottom-up approach (n=7) and econometric methods (n=7). Inpatient costs and absenteeism costs were the most important cost drivers accounting for 12%−35% of the direct costs and 5%−67% of the indirect costs respectively. The healthcare costs associated with back pain in the UK were estimated at £1.6 billion in 1998 while the indirect costs ranged from £5 billion to £10.7 billion. Conclusions. This is the first methodological systematic review assessing the costs of back pain. Despite differences in methodology, the
Lumbar spinal stenosis (LSS) is a common skeletal system disease that has been partly attributed to genetic variation. However, the correlation between genetic variation and pathological changes in LSS is insufficient, and it is difficult to provide a reference for the early diagnosis and treatment of the disease. We conducted a transcriptome-wide association study (TWAS) of spinal canal stenosis by integrating genome-wide association study summary statistics (including 661 cases and 178,065 controls) derived from Biobank Japan, and pre-computed gene expression weights of skeletal muscle and whole blood implemented in FUSION software. To verify the TWAS results, the candidate genes were furthered compared with messenger RNA (mRNA) expression profiles of LSS to screen for common genes. Finally, Metascape software was used to perform enrichment analysis of the candidate genes and common genes.Aims
Methods
This study was performed to explore the effect of melatonin on pyroptosis in nucleus pulposus cells (NPCs) and the underlying mechanism of that effect. This experiment included three patients diagnosed with lumbar disc herniation who failed conservative treatment. Nucleus pulposus tissue was isolated from these patients when they underwent surgical intervention, and primary NPCs were isolated and cultured. Western blotting, reverse transcription polymerase chain reaction, fluorescence staining, and other methods were used to detect changes in related signalling pathways and the ability of cells to resist pyroptosis.Aims
Methods
This study aimed, through bioinformatics analysis and in vitro experiment validation, to identify the key extracellular proteins of intervertebral disc degeneration (IDD). The gene expression profile of GSE23130 was downloaded from the Gene Expression Omnibus (GEO) database. Extracellular protein-differentially expressed genes (EP-DEGs) were screened by protein annotation databases, and we used Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) to analyze the functions and pathways of EP-DEGs. STRING and Cytoscape were used to construct protein-protein interaction (PPI) networks and identify hub EP-DEGs. NetworkAnalyst was used to analyze transcription factors (TFs) and microRNAs (miRNAs) that regulate hub EP-DEGs. A search of the Drug Signatures Database (DSigDB) for hub EP-DEGs revealed multiple drug molecules and drug-target interactions.Aims
Methods