Affiliation:
1. Renal Division Peking University First Hospital Beijing China
2. Peking University Institute of Nephrology Beijing China
3. Key Laboratory of Renal Disease Ministry of Health of China Beijing China
4. Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University) Ministry of Education Beijing China
Abstract
AbstractAutophagy, a highly conserved cellular self‐degradation pathway, has emerged with novel roles in the realms of immunity and inflammation. Genome‐wide association studies have unveiled a correlation between genetic variations in autophagy‐related genes and heightened susceptibility to autoimmune and inflammatory diseases. Subsequently, substantial progress has been made in unraveling the intricate involvement of autophagy in immunity and inflammation through functional studies. The autophagy pathway plays a crucial role in both innate and adaptive immunity, encompassing various key functions such as pathogen clearance, antigen processing and presentation, cytokine production, and lymphocyte differentiation and survival. Recent research has identified novel approaches in which the autophagy pathway and its associated proteins modulate the immune response, including noncanonical autophagy. This review provides an overview of the latest advancements in understanding the regulation of immunity and inflammation through autophagy. It summarizes the genetic associations between variants in autophagy‐related genes and a range of autoimmune and inflammatory diseases, while also examining studies utilizing transgenic animal models to uncover the in vivo functions of autophagy. Furthermore, the review delves into the mechanisms by which autophagy dysregulation contributes to the development of three common autoimmune and inflammatory diseases and highlights the potential for autophagy‐targeted therapies.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Beijing Municipality
Fok Ying Tung Education Foundation
Subject
Cell Biology,Biochemistry (medical),Genetics (clinical),Computer Science Applications,Drug Discovery,Genetics,Oncology,Immunology and Allergy
Cited by
4 articles.
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