| Literature DB >> 26064995 |
Adrese M Kandahari1, Xinlin Yang1, Abhijit S Dighe1, Dongfeng Pan2, Quanjun Cui1.
Abstract
Osteoarthritis is a common and debilitating joint disease that affects up to 30 million Americans, leading to significant disability, reduction in quality of life, and costing the United States tens of billions of dollars annually. Classically, osteoarthritis has been characterized as a degenerative, wear-and-tear disease, but recent research has identified it as an immunopathological disease on a spectrum between healthy condition and rheumatoid arthritis. A systematic literature review demonstrates that the disease pathogenesis is driven by an early innate immune response which progressively catalyzes degenerative changes that ultimately lead to an altered joint microenvironment. It is feasible to detect this infiltration of cells in the early, and presumably asymptomatic, phase of the disease through noninvasive imaging techniques. This screening can serve to aid clinicians in potentially identifying high-risk patients, hopefully leading to early effective management, vast improvements in quality of life, and significant reductions in disability, morbidity, and cost related to osteoarthritis. Although the diagnosis and treatment of osteoarthritis routinely utilize both invasive and non-invasive strategies, imaging techniques specific to inflammatory cells are not commonly employed for these purposes. This review discusses this paradigm and aims to shift the focus of future osteoarthritis-related research towards early diagnosis of the disease process.Entities:
Mesh:
Year: 2015 PMID: 26064995 PMCID: PMC4433702 DOI: 10.1155/2015/192415
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.818
Role of the essential cells implicated in OA pathogenesis.
| Cell type | Role | Comments |
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| Macrophages | (i) Line intimal layer [ | |
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| T cell (TCR = T-cell receptor) | (i) Line subintimal layer [ | (i) Suggestive of chronic inflammation |
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| Mast cell (MC) | (i) Numbers are at least as high as those in RA synovium [ | (i) MCs lie around blood vessels and mediate vascular permeability hinting at crucial role of MCs, however not related to ESR and degranulated phenotype seen in intimal layer |
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| B cells | (i) Not always present or may be present in small numbers [ | (i) Suggestive of antigen-driven response |
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| Fibroblast | (i) Activated by both IL-1 | |
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| NK cell | (i) May have role in early pathogenesis of OA: found to have CD16+CD56+ phenotype [ | (i) Suggestive of activation/exhaustion phenotypes |
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| Neutrophil (PMN) | (i) Generally not found in OA synovial tissue, but sometimes present [ | (i) PMNs may play a role in the earliest stages of OA and therefore might not be expected to be identified in most studies of established OA samples |
Role of dominant effectors involved in OA pathogenesis.
| Protein | Role | Comments |
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| IL-1 | (i) Produced by macrophages [ | (i) GlcAT-1 is an important enzyme for production of glycosaminoglycan |
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| TNF | (i) Produced by macrophages [ | |
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| IL-6 | (i) Produced by fibroblasts [ | |
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| Complement | (i) Expression and activation abnormally high in OA synovium, significantly in early OA [ | |
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| TLR | (i) Activated by DAMPs released from ECM in joint damage [ | (i) S100 is a DAMP |
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| PGE2 | (i) Upregulated in OA joints [ | |
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| ADAMTS | (i) ADAMTS-4 can be downregulated by inhibiting TNF | (i) Uncertainty over which of the two is more significant in OA pathogenesis |
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| TGF | (i) Osteophyte formation [ | |
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| VEGF | (i) Promotes angiogenesis and MMP production [ | |
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| IL-4,7,8,10,13,15,17,18, adipokines, and leukemia inhibitory factor | (i) Detected in synovium [ | |
Figure 1Complement synovial infiltration in the early pathogenesis of OA. ELISA quantification of C3a des-arginine in synovial fluid of healthy (n = 14), early-stage OA (n = 52), and end-stage OA (n = 69) patients. C3a des-arginine is a carboxypeptidase-cleaved, stable form of C3a that is generated from C3 during activation of the complement cascade. ** P ≤ 0.01 by one-way analysis of variance (ANOVA) and Dunnett's post hoc test (reproduction of image with permission and modified caption from Wang et al. [17]).
Figure 2In vivo imaging of inflammation with two cFLFLF-derived probes in the rat knee joints treated with (right knee) or without (left knee) monoiodoacetate (MIA). (a) CFLFLF-PEG-Cy 7 probe with animal back down, at day 5 after MIA injection; (b) cFLFLF-PEG-DOTA-64Cu with animal back up, at day 5 after MIA injection (upper column: micro-CT; middle column: micro-PET; lower column: fused).
Probes for mediators of inflammation in modern imaging techniques.
| Cell type or protein | Probe |
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| Macrophage | (i) 18F-FDG (PET) [ |
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| CD4+ T cell | (i) 64Cu-PTSM (PET) [ |
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| B cell | (i) 124I-rituximab (PET) [ |
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| Neutrophil | (i) cFLFLF-PEG-Cy 7 (NIRF) |
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| Mast cell | (i) Ligand 1 ( |
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| TNF | (i) 64Cu-DOTA-etanercept (PET) [ |
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| Complement | (i) USPIO-conjugated anti-C3mab (T2-MRI) [ |
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| MMP | (i) 124I-HO-MPI (CGS 27023A) (PET) [ |
Figure 3Inflammatory biomarkers in PET imaging (reproduced with permission from Wu et al. [99]).
Figure 4Model for role of systemic proinflammatory state and OA. Inflammatory mediators released into blood enter the joint exacerbating OA, which releases its own mediators of inflammation leading to increased systemic inflammation (reproduced with permission from Berenbaum [6]).