Transcriptome Analysis of Human Injured Meniscus Reveals a Distinct Phenotype of Meniscus Degeneration with Aging
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE45233 | GEO | 2013/03/18
SECONDARY ACCESSION(S): PRJNA193290
REPOSITORIES: GEO
Similar Datasets
Project description:In this study, we have tested the variation in gene expression signatures in human injured meniscus with age and degree of chondrosis in the knee. We found several genes that were differentially regulated with each of these factors and they represent important biological pathways in osteoarthritis research. Total RNA obtained from isolated injured meniscus tissues from patients undergoing arthroscopic partial meniscectomy.
2013-03-18 | E-GEOD-45233 | biostudies-arrayexpress
Project description:Background: Meniscus tears are the most common injury in the knee and are associated with an increased risk of osteoarthritis (OA). The molecular profile of knees with meniscus tears is not well-studied. Therefore, to advance our understanding of the early response of the knee to injury, we compared the gene expression profile of meniscus and articular cartilage within the same knees following meniscus injury. Hypothesis/Purpose: To identify differences between the molecular signatures of meniscus and articular cartilage from knees with intact articular cartilage undergoing arthroscopic partial meniscectomy. Study Design: Descriptive laboratory study Methods: Patients (n=12) with a known isolated medial meniscus tear without any knee chondrosis or radiographic OA were consented prior to surgery. During arthroscopic partial meniscectomy, a sample of their injured meniscus and a sample of their articular cartilage off the medial femoral condyle were procured. The transcriptome signatures, as measured through Affymetrix microarray, were compared between the two tissues and underlying biological processes were explored computationally. Results: 3566 gene transcripts were differentially expressed between meniscus and articular cartilage. Gene transcripts down-regulated in articular cartilage were associated with extracellular matrix organization, wound healing, cell adhesion, and chemotaxis. Gene transcripts up-regulated in articular cartilage were associated with blood vessels morphogenesis and angiogenesis. Examples of individual genes with significant differences in expression between the two tissues include IBSP (23.76 fold; P < 0.001), upregulated in meniscus, and TREM1 (3.23 fold; P = 0.006), upregulated in meniscus. Conclusion: The meniscus and articular cartilage have distinct gene expression profiles in knees with meniscus tears and intact articular cartilage. Total RNA obtained from injured meniscus and normal articular cartilage from patients undergoing partial meniscectomy.
2015-03-06 | E-GEOD-66635 | biostudies-arrayexpress
Project description:Background: Meniscus tears are the most common injury in the knee and are associated with an increased risk of osteoarthritis (OA). The molecular profile of knees with meniscus tears is not well-studied. Therefore, to advance our understanding of the early response of the knee to injury, we compared the gene expression profile of meniscus and articular cartilage within the same knees following meniscus injury. Hypothesis/Purpose: To identify differences between the molecular signatures of meniscus and articular cartilage from knees with intact articular cartilage undergoing arthroscopic partial meniscectomy. Study Design: Descriptive laboratory study Methods: Patients (n=12) with a known isolated medial meniscus tear without any knee chondrosis or radiographic OA were consented prior to surgery. During arthroscopic partial meniscectomy, a sample of their injured meniscus and a sample of their articular cartilage off the medial femoral condyle were procured. The transcriptome signatures, as measured through Affymetrix microarray, were compared between the two tissues and underlying biological processes were explored computationally. Results: 3566 gene transcripts were differentially expressed between meniscus and articular cartilage. Gene transcripts down-regulated in articular cartilage were associated with extracellular matrix organization, wound healing, cell adhesion, and chemotaxis. Gene transcripts up-regulated in articular cartilage were associated with blood vessels morphogenesis and angiogenesis. Examples of individual genes with significant differences in expression between the two tissues include IBSP (23.76 fold; P < 0.001), upregulated in meniscus, and TREM1 (3.23 fold; P = 0.006), upregulated in meniscus. Conclusion: The meniscus and articular cartilage have distinct gene expression profiles in knees with meniscus tears and intact articular cartilage.
2015-03-06 | GSE66635 | GEO
Project description:Meniscus tears are associated with a heightened risk of osteoarthritis. This study aimed to advance our understanding of the metabolic state of injured human meniscus at the time of arthroscopic partial meniscectomy through transcriptome-wide analysis of gene expression in relation to the patient's age and degree of cartilage chondrosis.The degree of chondrosis of knee cartilage was recorded at the time of meniscectomy in symptomatic patients without radiographic osteoarthritis. RNA preparations from resected menisci (n = 12) were subjected to transcriptome-wide microarray and QuantiGene Plex analyses. Variations in the relative changes in gene expression with age and chondrosis were analyzed, and integrated biologic processes were investigated computationally.We identified a set of genes in torn menisci that were differentially expressed with age and chondrosis. There were 866 genes that were differentially regulated (?1.5-fold difference and P < 0.05) with age and 49 with chondrosis. In older patients, genes associated with cartilage and skeletal development and extracellular matrix synthesis were repressed, while those involved in immune response, inflammation, cell cycle, and cellular proliferation were stimulated. With chondrosis, genes representing cell catabolism (cAMP catabolic process) and tissue and endothelial cell development were repressed, and those involved in T cell differentiation and apoptosis were elevated.Differences in age-related gene expression suggest that in older adults, meniscal cells might dedifferentiate and initiate a proliferative phenotype. Conversely, meniscal cells in younger patients appear to respond to injury, but they maintain the differentiated phenotype. Definitive molecular signatures identified in damaged meniscus could be segregated largely with age and, to a lesser extent, with chondrosis.
| S-EPMC3873730 | biostudies-literature
Project description:Meniscus degeneration is one of the manifestations of knee osteoarthritis, but its specific molecular mechanism is still not very clear. We used Wuzhishan pig's anterior cruciate ligament resection to prepare meniscus degeneration models, and applied gene chip technology to detect the expression of differential genes in the degenerated meniscus tissue. The study detected a total of 893 differentially expressed genes, mainly related to hormones, apoptosis, inflammation and other mechanisms, and analyzed that TRP channels may play a key role. All in all, we have established a reliable animal model of meniscus degeneration and found that meniscus degeneration involves several possible molecular mechanisms, which provide molecular targets for future treatment of the disease.
2020-08-13 | GSE156132 | GEO
Project description:There is a need to clarify the role of the meniscus in knee OA which may be aided by the identification of biomarkers that reflect the molecular events involved in the tissue degradation. This is of particular importance in the early stages of the degenerative processes, a crucial phase when it might still be possible to interfere with disease progression before tearing and critical loss of meniscal function occurs. One way to achieve this goal is exploratory proteomics by mass spectrometry (MS), which has the potential to analyse the proteome of complex samples. Thus, our aim was to gain new knowledge about the molecular processes within the human meniscus by comparing the proteomic profiles of both the lateral and medial meniscus from healthy controls, subjects with mild signs of joint degeneration, and patients with end-stage knee OA, using a non-targeted MS approach operating in data-independent acquisition (DIA) mode. For the research purpose six groups were established: medial and lateral menisci from control donors (n=12), medial and lateral menisci from donors with mild signs of joint degeneration (n=13) and medial and lateral menisci from end-stage knee OA patients (n=12).
2024-04-03 | PXD042122 | Pride
Project description:Meniscus injuries are highly prevalent and are linked to the development of post-traumatic osteoarthritis (PTOA). The inflammatory cytokine IL-1 is elevated in synovial fluid following knee injuries, causes degradation of meniscus tissue, and inhibits meniscus repair. Dynamic mechanical compression of meniscus tissue has been shown to improve integrative repair in the presence of IL-1; however, there remains a dearth of knowledge on global effects of loading on meniscus cell phenotype and transcriptomic profiles. In this study, we performed mRNA-Seq on meniscus tissue explants from inner and outer zone regions of porcine menisci subjected to dynamic compression in the presence and absence of IL-1 to identify cellular responses to mechanical load, identify differences in response to load based on zonal characteristics, and identify IL-1 induced inflammatory responses modulated by load.
2021-12-24 | GSE191175 | GEO
Project description:Osteoarthritis (OA) affects all tissues in the knee joint but therapeutic targets have often been selected for their role in cartilage damage and inflammation and largely omitted consideration of mechanisms that are mediating meniscus damage and more importantly there have been insufficient efforts to determine whether pathogenic processes are shared between tissues. Several scRNA-seq analyses have been performed in OA knees but have been largely restricted to the analysis of a single joint tissue of articular cartilage, or meniscus with the exception of one study that analyzed cartilage and synovium. Here, we performed scRNA-seq analyses of healthy and OA-affected human knee cartilage and menisci to interrogate separate and shared mechanisms in cellular homeostasis and OA pathogenesis.
2023-04-19 | GSE220243 | GEO
Project description:Meniscus injuries are highly prevalent and are linked to the development of post-traumatic osteoarthritis (PTOA). The inflammatory cytokine IL-1 is elevated in synovial fluid following knee injuries, causes degradation of meniscus tissue, and inhibits meniscus repair. Cyclic tensile stretch has been shown to modulate the expression of pro-inflammatory cytokines and degradative enzymes induced by IL-1; however, there remains a dearth of knowledge on global effects of loading on meniscus cell phenotype and transcriptomic profiles. In this study, we performed mRNA-Seq on meniscus cells isolated from inner and outer zone regions of porcine menisci subjected to cyclic tensile strain in the presence and absence of IL-1 to identify cellular responses to mechanical load, identify differences in response to load based on zonal characteristics, and identify IL-1 induced inflammatory responses modulated by load.
2021-12-23 | GSE191321 | GEO
Project description:Despite ample evidence demonstrating that anterior cruciate ligament (ACL) and meniscus tears are associated with the development of knee osteoarthritis (OA), the contributing factors remain unknown. Synovial inflammation has recently been recognized as a pivotal factor in the pathogenesis of OA. However, there is a lack of data on synovial profiles after ACL or meniscus injuries, which may contribute to posttraumatic OA (PTOA). We performed RNA-seq of 3 inflamed synovial biopsy samples vs 3 normal synovial biopsy samples following ACL and/or meniscus injuries. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and protein–protein interaction (PPI) analyses were performed to investigate mRNAs with significant differences between the inflamed and normal groups.Next, competing endogenous RNA (ceRNA) networks were constructed based on bioinformatics analyses and quantitative real-time polymerase chain reaction (RT–PCR) results. The association of the identified DEGs with the levels of infiltrating immune cells was explored using Pearson correlation analysis in R software. We aimed to provide greater insights into molecular mechanisms and biologic pathways in synovitis that could regulate post-trauma osteoarthritis progression.
2022-11-18 | GSE213070 | GEO