Analysis on the expression and value of CCL2 and CCL3 in patients with osteoarthritis

Guo, Qi; Liu, Zengliang; Wang, Moxue; Guo, Shanqiang; Cong, Hongbo; Liu, Lei

doi:10.1016/j.yexmp.2020.104576

Cited by 14 publications

(14 citation statements)

References 23 publications

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“…29 A study demonstrated that the level of CCL3 was significantly increased in the peripheral blood of OA patients and in OA rats compared to that of normal rats ( P < 0.001). 30 The high mRNA expression of FOSL1, FOSB and CCL3 observed in the present study is consistent with previous findings. SOX6, promoting the production of Col 2A and aggrecan, is important for chondrocyte differentiation and chondrogenesis.…”

Section: Discussionsupporting

confidence: 93%

Comprehensive expression profiles of mRNAs, lncRNAs and miRNAs in Kashin-Beck disease identified by RNA-sequencing

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Section: Discussionsupporting

confidence: 93%

Comprehensive expression profiles of mRNAs, lncRNAs and miRNAs in Kashin-Beck disease identified by RNA-sequencing

et al. 2022

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“…Under the endothelial-leukocyte interaction, the production of CCL3 was an important mechanism for maintaining cell recruitment during inflammation (Lukacs et al, 1994). Recently, it has been found that the levels of CCl2 and CCl3 in the peripheral blood of patients with rheumatoid arthritis are increased and are positively correlated with rheumatoid factor, which means they have good predictive value for the occurrence, curative effect and prognosis of rheumatoid arthritis (Guo et al, 2021). In the clinical study of AS, CCL3 was widely used to study the disease activity of AS (Akbulut et al, 2010;Pishgahi et al, 2020;Li et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Immune mechanism of low bone mineral density caused by ankylosing spondylitis based on bioinformatics and machine learning

et al. 2022

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Background and Objective: This study aims to find the key immune genes and mechanisms of low bone mineral density (LBMD) in ankylosing spondylitis (AS) patients.Methods: AS and LBMD datasets were downloaded from the GEO database, and differential expression gene analysis was performed to obtain DEGs. Immune-related genes (IRGs) were obtained from ImmPort. Overlapping DEGs and IRGs got I-DEGs. Pearson coefficients were used to calculate DEGs and IRGs correlations in the AS and LBMD datasets. Louvain community discovery was used to cluster the co-expression network to get gene modules. The module most related to the immune module was defined as the key module. Metascape was used for enrichment analysis of key modules. Further, I-DEGs with the same trend in AS and LBMD were considered key I-DEGs. Multiple machine learning methods were used to construct diagnostic models based on key I-DEGs. IID database was used to find the context of I-DEGs, especially in the skeletal system. Gene–biological process and gene-pathway networks were constructed based on key I-DEGs. In addition, immune infiltration was analyzed on the AS dataset using the CIBERSORT algorithm.Results: A total of 19 genes were identified I-DEGs, of which IFNAR1, PIK3CG, PTGER2, TNF, and CCL3 were considered the key I-DEGs. These key I-DEGs had a good relationship with the hub genes of key modules. Multiple machine learning showed that key I-DEGs, as a signature, had an excellent diagnostic performance in both AS and LBMD, and the SVM model had the highest AUC value. Key I-DEGs were closely linked through bridge genes, especially in the skeletal system. Pathway analysis showed that PIK3CG, IFNAR1, CCL3, and TNF participated in NETs formation through pathways such as the MAPK signaling pathway. Immune infiltration analysis showed neutrophils had the most significant differences between case and control groups and a good correlation with key I-DEG.Conclusion: The key I-DEGs, TNF, CCL3, PIK3CG, PTGER2, and IFNAR1, can be utilized as biomarkers to determine the risk of LBMD in AS patients. They may affect neutrophil infiltration and NETs formation to influence the bone remodeling process in AS.

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“…Recently, CCL2 and CCL3 (involved with polymorphonuclear recruitment) levels were higher in the peripheral blood of OA patients than in healthy donors. The authors considered CCL2 and CCL3 as suitable predictive markers for the occurrence, efficacy, and prognosis of recurrence of OA after a 1-year follow-up study ( Guo et al, 2021 ). In a recent meta-analysis, in which nine clinical studies were evaluated, including 376 patients with OA and 306 healthy controls, reinforced the finding that CCL2 may serve as a biomarker for the diagnosis of OA and may play an important role in the progression of OA ( Ni et al, 2020 ).…”

Section: Sex Differences and Innate-immunity-related Oa Pain Mediatorsmentioning

confidence: 99%

Innate Immunity at the Core of Sex Differences in Osteoarthritic Pain?

et al. 2022

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Osteoarthritis (OA) is a progressive whole-joint disease; no disease-modifying drugs are currently available to stop or slow its process. Symptoms alleviation is the only treatment option. OA is the major cause of chronic pain in adults, with pain being the main symptom driving patients to seek medical help. OA pathophysiology is closely associated with the innate immune system, which is also closely linked to pain mediators leading to joint pain. Pain research has shown sex differences in the biology of pain, including sexually dimorphic responses from key cell types in the innate immune system. Not only is OA more prevalent in women than in men, but women patients also show worse OA outcomes, partially due to experiencing more pain symptoms despite having similar levels of structural damage. The cause of sex differences in OA and OA pain is poorly understood. This review provides an overview of the involvement of innate immunity in OA pain in joints and in the dorsal root ganglion. We summarize the emerging evidence of sex differences regarding innate immunity in OA pain. Our main goal with this review was to provide a scientific foundation for future research leading to alternative pain relief therapies targeting innate immunity that consider sex differences. This will ultimately lead to a more effective treatment of pain in both women and men.

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Analysis on the expression and value of CCL2 and CCL3 in patients with osteoarthritis

Cited by 14 publications

References 23 publications

Comprehensive expression profiles of mRNAs, lncRNAs and miRNAs in Kashin-Beck disease identified by RNA-sequencing

Comprehensive expression profiles of mRNAs, lncRNAs and miRNAs in Kashin-Beck disease identified by RNA-sequencing

Immune mechanism of low bone mineral density caused by ankylosing spondylitis based on bioinformatics and machine learning

Innate Immunity at the Core of Sex Differences in Osteoarthritic Pain?

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