The Interleukin-33/ST2 Axis Enhances Lung-Resident CD14+ Monocyte Function in Patients with Non-Small Cell Lung Cancer

Interleukin-33/serum stimulation-2 pathway: Regulatory mechanisms and emerging implications in immune and inflammatory diseases

Interleukin (IL)- 33, a nuclear factor and pleiotropic cytokine of the IL-1 family, is gaining attention owing to its important role in chronic inflammatory and autoimmune diseases. This review extends our knowledge of the effects exerted by IL-33 on target cells by binding to its specific receptor serum stimulation-2 (ST2). Depending on the tissue context, IL-33 performs multiple functions encompassing host defence, immune response, initiation and amplification of inflammation, tissue repair, and homeostasis. The levels and activity of IL-33 in the body are controlled by complex IL-33-targeting regulatory pathways. The unique temporal and spatial expression patterns of IL-33 are associated with host homeostasis and the development of immune and inflammatory disorders. Therefore, understanding the origin, function, and processes of IL-33 under various conditions is crucial. This review summarises the regulatory mechanisms underlying the IL-33/ST2 signalling axis and its potential role and clinical significance in immune and inflammatory diseases, and discusses the current complex and conflicting findings related to IL-33 in host responses.

Unpacking the complexity of nuclear IL-33 (nIL-33): a crucial regulator of transcription and signal transduction

Interleukin-33 (IL-33) (NF-HEV), a chromatin-associated nuclear cytokine, is a member of the IL-1 family. IL-33 possesses a nuclear localization signal and a homeodomain (a structure resembling a helix-turn-helix) that can bind to nuclear chromatin. Research has revealed that IL-33 can function as a nuclear factor to regulate various biological processes. This review discusses the cellular localization, functional effects, and immune regulation of full length IL-33 (FLIL-33), cytokine IL-33 (sIL-33) and nuclear IL-33 (nIL-33). In addition, the post-translational modifications of nIL-33 and the hypothesis of using nIL-33 as a treatment method were also summarized. A multidisciplinary approach is required which integrates methods and techniques from genomics, proteomics, cell biology and immunology to provide comprehensive insights into the function and therapeutic potential of nIL-33.

IL1RL1 polymorphisms rs12479210 and rs1420101 are associated with increased lung cancer risk in the Chinese Han population

Background: Lung cancer is one of the most common human malignant diseases. In this study, we aimed to explore the association between IL1RL1 genetic polymorphisms and lung cancer risk in the Chinese Han population. Methods: We selected and genotyped six SNPs in the IL1RL1 gene using the Agena MassARRAY system in 507 lung cancer patients and 507 healthy controls. The association between IL1RL1 variants and lung cancer risk was assessed using logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Multi-factor dimensionality reduction (MDR) was used to analyze the impact of SNP-SNP interactions on the risk of lung cancer. Results: The results of overall analysis indicated that rs12479210 (T vs. C: OR = 1.42, FDR-p = 0.002; TC vs. CC: OR = 1.70, FDR-p < 0.0001; TT vs. CC: OR = 1.77, FDR-p = 0.032; TT-TC vs. CC: OR = 1.71, FDR-p = 0.001; additive: OR = 1.44, FDR-p = 0.001) and rs1420101 (T vs. C: OR = 1.31, FDR-p = 0.036; TT-TC vs. CC: OR = 1.42, FDR-p = 0.031; additive: OR = 1.30, FDR-p = 0.030) were associated with an increased the risk of lung cancer among the Chinese Han population. Stratified analysis also found the association between these two SNPs and lung cancer risk. However, there were no significant association observed between the other four SNPs (rs3771180, rs3771175, rs10208293, and rs10197862) in IL1RL1 and lung cancer risk. Furthermore, MDR analysis showed that rs12479210 was the best single model with the highest testing accuracy (0.566) and perfect CVC (10/10) for predicting lung cancer risk. The expression level of the IL1RL1 gene is lower in lung cancer tissue than normal tissue, and there are significant differences in the expression levels of IL1RL1 between rs12479210 and rs1420101 genetypes in lung cancer tissue (p < 0.05). Conclusion: Our findings suggest that IL1RL1 genetic variants (rs12479210 and rs1420101) are associated with an increased lung cancer risk in the Chinese Han population. These risk variants may serve as biomarkers for the prevention and treatment of lung cancer.