IL20RB

Last update 08 May 2025

Basic Info

Synonyms

DIRS1, Fibronectin type III domain containing 6, FNDC6

+ [10]

Introduction

The IL20RA/IL20RB dimer is a receptor for IL19, IL20 and IL24. The IL22RA1/IL20RB dimer is a receptor for IL20 and IL24.

100 Clinical Results associated with IL20RB

100 Translational Medicine associated with IL20RB

0 Patents (Medical) associated with IL20RB

181

Literatures (Medical) associated with IL20RB

01 Apr 2025·International Immunopharmacology

Unraveling the role of the IL-20 cytokine family in neurodegenerative diseases: Mechanisms and therapeutic insights

Review

Author: Kumar, Alan Prem ; Tabari, Mohammad Amin Khazeei ; Goleij, Pouya ; Daglia, Maria ; Amini, Alireza ; Aschner, Michael ; Hadipour, Mahboube ; Sanaye, Pantea Majma ; Rezaee, Aryan ; Khan, Haroon

The IL-20 cytokine family, comprising IL-19, IL-20, IL-22, IL-24, and IL-26, has emerged as a critical player in the pathogenesis of neurodegenerative diseases due to its multiple roles in inflammation, tissue repair, and immune modulation. These cytokines signal through IL-20 receptor complexes (IL-20RA/IL-20RB and IL-22RA1/IL-20RB), triggering diverse immune processes. Recent evidence highlights their significant contributions to neuroinflammation and neurodegeneration in central nervous system disorders. IL-20 family cytokines impact microglial activation, which, when dysregulated, exacerbates neuronal damage. Specifically, IL-20 and IL-24 are linked to elevated pro-inflammatory markers in glial cells, promoting neurodegeneration. In contrast, IL-22 exhibits dual functionality, exerting protective and pathological roles depending on the inflammatory milieu. Key mechanisms involve the regulation of blood-brain barrier integrity, oxidative stress, and autophagy. IL-22 and IL-24 also protect neurons by enhancing antioxidant defenses and maintaining epithelial barrier function, while their dysregulation contributes to blood-brain barrier disruption and protein aggregate accumulation, hallmark features of Alzheimer's disease, Parkinson's disease, and multiple sclerosis. Elevated IL-22 levels in Alzheimer's disease and IL-19's regulatory role in multiple sclerosis suggest they may serve as potential biomarkers and therapeutic targets. IL-26's role in amplifying inflammatory cascades further underscores the complexity of this cytokine family in neurodegenerative pathology. Therapeutically, strategies targeting IL-20 cytokines include monoclonal antibodies, receptor modulation, and recombinant cytokine administration. These approaches aim to mitigate neuroinflammation, restore immune balance, and protect neuronal integrity. This review underscores the IL-20 family's emerging relevance in neurodegenerative diseases, highlighting its potential for novel diagnostic and therapeutic strategies.

08 Mar 2025·Protein & Cell

IL-24 promotes atopic dermatitis-like inflammation through driving MRSA-induced allergic responses

Article

Author: Zeng, Wenwen ; Hua, Meng ; Zhou, Nan ; Zhang, Tianqing ; Tong, Meiyi ; Li, Qingqing ; Qian, Xinmin

AbstractAtopic dermatitis (AD) is a prevalent inflammatory skin disorder in which patients experience recurrent eczematous lesions and intense itching. The colonization of Staphylococcus aureus (S. aureus) is correlated with the severity of the disease, but its role in AD development remains elusive. Using single-cell RNA sequencing, we uncovered that keratinocytes activate a distinct immune response characterized by induction of Il24 when exposed to methicillin-resistant S. aureus (MRSA). Further experiments using animal models showed that the administration of recombinant IL-24 protein worsened AD-like pathology. Genetic ablation of Il24 or the receptor Il20rb in keratinocytes alleviated allergic inflammation and atopic march. Mechanistically, IL-24 acted through its heterodimeric receptors on keratinocytes and augmented the production of IL-33, which in turn aggravated type 2 immunity and AD-like skin conditions. Overall, these findings establish IL-24 as a critical factor for onset and progression of AD and a compelling therapeutic target.

01 Feb 2025·Shock

COMPREHENSIVE CHARACTERIZATION OF CYTOKINES IN PATIENTS UNDER EXTRACORPOREAL MEMBRANE OXYGENATION: EVIDENCE FROM INTEGRATED BULK AND SINGLE-CELL RNA SEQUENCING DATA USING MULTIPLE MACHINE LEARNING APPROACHES

Article

Author: Chen, Zhen ; Zuo, Liuer ; Lu, Jianhai ; Wu, Shumin ; Su, Yongpeng ; Liu, Genglong ; Zhou, Xingliang ; Liu, Changzhi ; Xian, Lina

ABSTRACTBackground: Extracorporeal membrane oxygenation (ECMO) is an effective technique for providing short-term mechanical support to the heart, lungs, or both. During ECMO treatment, the inflammatory response, particularly involving cytokines, plays a crucial role in pathophysiology. However, the potential effects of cytokines on patients receiving ECMO are not comprehensively understood. Methods: We acquired three ECMO support datasets, namely two bulk and one single-cell RNA sequencing (RNA-seq), from the Gene Expression Omnibus (GEO) combined with hospital cohorts to investigate the expression pattern and potential biological processes of cytokine-related genes (CRGs) in patients under ECMO. Subsequently, machine learning approaches, including support vector machine (SVM), random forest (RF), modified Lasso penalized regression, extreme gradient boosting (XGBoost), and artificial neural network (ANN), were applied to identify hub CRGs, thus developing a prediction model called CRG classifier. The predictive and prognostic performance of the model was comprehensively evaluated in GEO and hospital cohorts. Finally, we mechanistically analyzed the relationship between hub cytokines, immune cells, and pivotal molecular pathways. Results: Analyzing bulk and single-cell RNA-seq data revealed that most CRGs were significantly differentially expressed; the enrichment scores of cytokine and cytokine-cytokine receptor (CCR) interaction were significantly higher during ECMO. Based on multiple machine learning algorithms, nine key CRGs (CCL2, CCL4, IFNG, IL1R2, IL20RB, IL31RA, IL4, IL7, and IL7R) were used to develop the CRG classifier. The CRG classifier exhibited excellent prognostic values (AUC > 0.85), serving as an independent risk factor. It performed better in predicting mortality and yielded a larger net benefit than other clinical features in GEO and hospital cohorts. Additionally, IL1R2, CCL4, and IL7R were predominantly expressed in monocytes, NK cells, and T cells, respectively. Their expression was significantly positively correlated with the relative abundance of corresponding immune cells. Gene set variation analysis (GSVA) revealed that para-inflammation, complement and coagulation cascades, and IL6/JAK/STAT3 signaling were significantly enriched in the subgroup that died after receiving ECMO. Spearman correlation analyses and Mantel tests revealed that the expression of hub cytokines (IL1R2, CCL4, and IL7R) and pivotal molecular pathways scores (complement and coagulation cascades, IL6/JAK/STAT3 signaling, and para-inflammation) were closely related. Conclusion: A predictive model (CRG classifier) comprising nine CRGs based on multiple machine learning algorithms was constructed, potentially assisting clinicians in guiding individualized ECMO treatment. Additionally, elucidating the underlying mechanistic pathways of cytokines during ECMO will provide new insights into its treatment.

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IL20RB

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