Healthy and Osteoarthritis-Affected Joints Facing the Cellular Crosstalk

Semenistaja, Sofija; Skuja, Sandra; Kadisa, A.; Groma, Valērija

doi:10.3390/ijms24044120

Cited by 6 publications

(3 citation statements)

References 260 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies have brought attention to the role of inflammation and immune reactions in the development of OA. Abnormal activation of these processes can contribute to cartilage damage and joint dysfunction (30,31). Obesity, a known risk factor for OA, exacerbates joint deterioration by increasing mechanical stress on the joints and releasing inflammatory substances from adipose tissue (32,33).…”

Section: Discussionmentioning

confidence: 99%

Revealing the impact of TOX3 on osteoarthritis: insights from bioinformatics

Wang,

Ding,

Zhang

et al. 2023

Front. Med.

View full text Add to dashboard Cite

Osteoarthritis, a prevalent long-term condition of the joints, primarily impacts older individuals, resulting in discomfort, restrictions in mobility, and a decrease in overall well-being. Although Osteoarthritis is widely spread, there is a lack of successful interventions to stop the advancement of the condition. Numerous signaling pathways have been emphasized in recent research on Osteoarthritis, yet the diagnostic significance of numerous genes has not been investigated. To identify genes that were expressed differently in osteoarthritis, we utilized the Gene Expression Omnibus database. To identify marker genes, we built machine learning models including Least Absolute Shrinkage and Selection Operator and Random Forest. We categorized Osteoarthritis samples and performed immune cell infiltration analysis based on the expression patterns of these characteristic genes. Both the Least Absolute Shrinkage and Selection Operator and Random Forest models selected six marker genes (TOX3, ARG1, CST7, RERGL, COL11A1, NCRNA00185) out of a total of 17 differentially expressed genes. The osteoarthritis samples were categorized into two groups, namely a high expression group and a low expression group, based on the median levels of TOX3 expression. Comparative analysis of these groups identified 85 differentially expressed genes, showing notable enrichment in pathways related to lipid metabolism in the group with high expression. Analysis of immune cell infiltration revealed noticeable differences in immune profiles among the two groups. The group with high expression of TOX3 showed a notable increase in Mast cells and Type II IFN Response, whereas B cells, Cytolytic activity, Inflammation-promoting cells, NK cells, pDCs, T cell co-inhibition, Th1 cells, and Th2 cells were significantly decreased. We constructed a ceRNA network for TOX3, revealing 57 lncRNAs and 18 miRNAs involved in 57 lncRNA-miRNA interactions, and 18 miRNA-mRNA interactions with TOX3. Validation of TOX3 expression was confirmed using an external dataset (GSE29746), revealing a notable increase in Osteoarthritis samples. In conclusion, our study presents a comprehensive analysis identifying TOX3 as a potential feature gene in Osteoarthritis. The distinct immune profiles and involvement in fat metabolism pathways associated with TOX3 expression suggest its significance in Osteoarthritis pathogenesis. The study establishes a basis for comprehending the intricate correlation between characteristic genes and Osteoarthritis, as well as for the formulation of individualized therapeutic approaches.

show abstract

Section: Discussionmentioning

confidence: 99%

Revealing the impact of TOX3 on osteoarthritis: insights from bioinformatics

Wang,

Ding,

Zhang

et al. 2023

Front. Med.

View full text Add to dashboard Cite

show abstract

“…Mimicking the whole osteochondral unit with its diverse cell sources such as osteoblast, osteocyte, chondrocyte, synoviocytes, and the microenvironment is complicated [ 176 ]. On other words, the simultaneous differentiation of cells in bony and cartilaginous parts of organoids using a set of different cells, biomaterials, and bioactive factors is noncontrollable.…”

Section: Challenges Of Osteochondral Organoidsmentioning

confidence: 99%

Osteochondral organoids: current advances, applications, and upcoming challenges

Faeed,

Ghiasvand,

Fareghzadeh

et al. 2024

Stem Cell Res Ther

View full text Add to dashboard Cite

In the realm of studying joint-related diseases, there is a continuous quest for more accurate and representative models. Recently, regenerative medicine and tissue engineering have seen a growing interest in utilizing organoids as powerful tools for studying complex biological systems in vitro. Organoids, three-dimensional structures replicating the architecture and function of organs, provide a unique platform for investigating disease mechanisms, drug responses, and tissue regeneration. The surge in organoid research is fueled by the need for physiologically relevant models to bridge the gap between traditional cell cultures and in vivo studies. Osteochondral organoids have emerged as a promising avenue in this pursuit, offering a better platform to mimic the intricate biological interactions within bone and cartilage. This review explores the significance of osteochondral organoids and the need for their development in advancing our understanding and treatment of bone and cartilage-related diseases. It summarizes osteochondral organoids’ insights and research progress, focusing on their composition, materials, cell sources, and cultivation methods, as well as the concept of organoids on chips and application scenarios. Additionally, we address the limitations and challenges these organoids face, emphasizing the necessity for further research to overcome these obstacles and facilitate orthopedic regeneration.

show abstract

“… 3 It also affects all age groups, including children, and the incidence in women is higher than. 4 Arthritis has a greater impact than just the pain it causes to individuals since it has a significant financial and medical cost impact. Early identification of high-risk groups based on risk factors and the development of efficient management strategies are essential for both people and society, given the rising incidence of arthritis and related medical expenses.…”

Section: Introductionmentioning

confidence: 99%

Lipocalin-2 as a marker of inflammation, bone density, and triglyceride-glucose index for new-onset arthritis patients in Mosul, Iraq

Saadon,

Allwsh

2024

Qatar Medical Journal

View full text Add to dashboard Cite

Objective: Lipocalin-2 is an acute phase-associated adipokine that can serve as an inflammatory and biomarker indicator of cartilage deterioration in osteoarthritis. However, its role in the musculoskeletal system remains not fully understood. Hence, this study aimed to evaluate lipocalin-2 and its relationship with markers of inflammation (Interferon-gamma, ESR, and CRP), bone density (vitamin D3 and calcium), and the triglyceride-glucose index in new-onset arthritis patients in Mosul, Iraq. Methods: This study included 125 participants aged 20 to 65, divided into two groups. The Arthritis Patient Group comprised 70 participants (37 females and 33 males) attending the Bone Diseases Consultation Unit at the Ibn Sina Teaching Hospital in Mosul, Iraq. The Control Group comprised 31 females and 24 males. Ethical approval was obtained from the Iraqi Ministry of Health - Nineveh Health (No. 2022095). Commercial ELISA kits were used to measure serum lipocalin-2, Interferon-gamma, ESR, and CRP as inflammation markers, vitamin D3, and calcium as bone density markers. Moreover, the Triglyceride Glucose (TYG) Index was evaluated. Results: The findings revealed a significant increase in lipocalin-2 levels in males compared to females, with LCN-2 increasing with age. Arthritis patients showed a significant increase (72%) in lipocalin-2 levels. Inflammatory indicators (erythrocyte sedimentation rate, C-reactive protein, interferon-gamma) displayed significant increases (46%, 1200%, and 581%, respectively). Glucose (23%), triglycerides (71%), and TYG index (21%) also exhibited significant increases. Meanwhile, bone density indicators (vitamin D3 and calcium) found a significant decrease (53% and 20%, respectively) in arthritis patients. Linear correlation coefficient (R) analysis revealed a significant positive relationship between lipocalin-2 and indicators of inflammation, glucose, TG, and TYG index. Conclusion: This study’s findings suggest that LCN-2 serum levels were higher in patients with new-onset arthritis than in controls in Mosul, and LCN-2 serum increased in males compared with females and getting older serum LCN-2 increased for the patients and control groups. Furthermore, a significant correlation was found between the Triglyceride Glucose Index, which measures metabolic disorders, and serum LCN-2 levels and inflammatory indicators in new-onset arthritis patients in Mosul, Iraq.

show abstract

Healthy and Osteoarthritis-Affected Joints Facing the Cellular Crosstalk

Cited by 6 publications

References 260 publications

Revealing the impact of TOX3 on osteoarthritis: insights from bioinformatics

Revealing the impact of TOX3 on osteoarthritis: insights from bioinformatics

Osteochondral organoids: current advances, applications, and upcoming challenges

Lipocalin-2 as a marker of inflammation, bone density, and triglyceride-glucose index for new-onset arthritis patients in Mosul, Iraq

Contact Info

Product

Resources

About