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Cited by 316

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

Autophagy and inflammation

Open access
Qian, Mengjia, Fang, Xiaocong, Wang, Xiangdong·2017·Clinical and Translational Medicine

Abstract

Autophagy is a homeostatic mechanism involved in the disposal of damaged organelles, denatured proteins as well as invaded pathogens through a lysosomal degradation pathway. Recently, increasing evidences have demonstrated its role in both innate and adaptive immunity, and thereby influence the pathogenesis of inflammatory diseases. The detection of autophagy machinery facilitated the measurement of autophagy during physiological and pathophysiological processes. Autophagy plays critical roles in inflammation through influencing the development, homeostasis and survival of inflammatory cells, including macrophages, neutrophils and lymphocytes; effecting the transcription, processing and secretion of a number of cytokines, as well as being regulated by cytokines. Recently, autophagy‐dependent mechanisms have been studied in the pathogenesis of several inflammatory diseases, including infectious diseases, Crohn's disease, cystic fibrosis, pulmonary hypertension, chronic obstructive pulmonary diseases and so on. These studies suggested that modulation of autophagy might lead to therapeutic interventions for diseases associated with inflammation. Here we highlight recent advances in investigating the roles of autophagy in inflammation as well as inflammatory diseases.

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Metadata

Authors
Qian, M., Fang, X., & Wang, X.
Venue
Clinical and Translational Medicine
Publisher
Wiley
Published
2017-07-26
Volume
6
Issue
1
Pages
24-24
ISSN
2001-1326 (ISSN-L)
OpenAlex
W2947088163
Cited by
316
References
94
FWCI
18.92
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Autophagy and inflammation. https://app.cochat.ai/papers/10.1186/s40169-017-0154-5
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Qian, M., Fang, X., & Wang, X. (2017). Autophagy and inflammation. Clinical and Translational Medicine. https://doi.org/10.1186/s40169-017-0154-5

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.