The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Autophagy and inflammation in ischemic stroke
Open accessAbstract
Appropriate autophagy has protective effects on ischemic nerve tissue, while excessive autophagy may cause cell death. The inflammatory response plays an important role in the survival of nerve cells and the recovery of neural tissue after ischemia. Many studies have found an interaction between autophagy and inflammation in the pathogenesis of ischemic stroke. This study outlines recent advances regarding the role of autophagy in the post-stroke inflammatory response as follows. (1) Autophagy inhibits inflammatory responses caused by ischemic stimulation through mTOR, the AMPK pathway, and inhibition of inflammasome activation. (2) Activation of inflammation triggers the formation of autophagosomes, and the upregulation of autophagy levels is marked by a significant increase in the autophagy-forming markers LC3-II and Beclin-1. Lipopolysaccharide stimulates microglia and inhibits ULK1 activity by direct phosphorylation of p38 MAPK, reducing the flux and autophagy level, thereby inducing inflammatory activity. (3) By blocking the activation of autophagy, the activation of inflammasomes can alleviate cerebral ischemic injury. Autophagy can also regulate the phenotypic alternation of microglia through the nuclear factor-κB pathway, which is beneficial to the recovery of neural tissue after ischemia. Studies have shown that some drugs such as resveratrol can exert neuroprotective effects by regulating the autophagy-inflammatory pathway. These studies suggest that the autophagy-inflammatory pathway may provide a new direction for the treatment of ischemic stroke.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Repertoires of Autophagy in the Pathogenesis of Ocular Diseases
Li, Y.-J., Jiang, Q., Cao, G.-F., Yao, J., & Yan, B. (2015) · Cellular Physiology and Biochemistry · doi:10.1159/000373980 · Cited by 16,304
AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1
Kim, J., Kundu, M., Viollet, B., & Guan, K.-L. (2011) · Nature Cell Biology · doi:10.1038/ncb2152 · Cited by 7,227
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Klionsky, D. J., Abdelmohsen, K., Abe, A., Abedin, M. J., Abeliovich, H., Acevedo Arozena, A., Adachi, H., Adams, C. M., Adams, P. D., Adeli, K., et al. (2016) · Autophagy · doi:10.1080/15548627.2015.1100356 · Cited by 5,894
Self-citationTOR signaling in growth and metabolism
Wullschleger, S., Loewith, R., & Hall, M. N. (2006) · Cell · doi:10.1016/j.cell.2006.01.016 · Cited by 5,787
Schroder, K., & Tschopp, J. (2010) · Cell · doi:10.1016/j.cell.2010.01.040 · Cited by 5,475
De Cillà, S. D., Farruggio, S., Vujosevic, S., Raina, G., Filippini, D., Gatti, V., Clemente, N., Mary, D., Vezzola, D., Casini, G., et al. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000479441 · Cited by 5,136
Autophagy and Viruses: Adversaries or Allies?
Dong, X., & Levine, B. (2013) · Journal of Innate Immunity · doi:10.1159/000346388 · Cited by 4,430
Autophagy: cellular and molecular mechanisms
Glick, D., Barth, S., & Macleod, K. F. (2010) · The Journal of Pathology · doi:10.1002/path.2697 · Cited by 3,802
Antimicrobial Autophagy: A Conserved Innate Immune Response in Drosophila
Moy, R. H., & Cherry, S. (2013) · Journal of Innate Immunity · doi:10.1159/000350326 · Cited by 3,539
Crosstalk of reactive oxygen species and NF-κB signaling
Morgan, M. J., & Liu, Z.-G. (2011) · Cell Research · doi:10.1038/cr.2010.178 · Cited by 3,505
Cited by
Mechanism of Endoplasmic Reticulum Stress in Cerebral Ischemia
Han, Y., Yuan, M., Guo, Y.-S., Shen, X.-Y., Gao, Z.-K., & Bi, X. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.704334 · Cited by 105
Zheng, Y., Zhang, X., Zhang, R., Wang, Z., Gan, J., Gao, Q., Yang, L., Xu, P., & Jiang, X. (2023) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2023.5314 · Cited by 52
Jo, S., Baek, A., Cho, Y., Kim, S. H., Baek, D., Hwang, J., Cho, S.-R., & Kim, H. J. (2023) · Scientific Reports · doi:10.1038/s41598-023-32744-9 · Cited by 19
Metadata
- Authors
- Liu, K.-Y., Mo, Y., & Sun, Y.-Y.
- Venue
- Neural Regeneration Research
- Publisher
- Medknow
- Published
- 2020
- Volume
- 15
- Issue
- 8
- Pages
- 1388
- ISSN
- 1673-5374 (ISSN-L)
- OpenAlex
- W3004281237
- Cited by
- 322
- References
- 100
- FWCI
- 29.49
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Autophagy and inflammation in ischemic stroke. https://app.cochat.ai/papers/10.4103/1673-5374.274331
- The paper
- Liu, K.-Y., Mo, Y., & Sun, Y.-Y. (2020). Autophagy and inflammation in ischemic stroke. Neural Regeneration Research. https://doi.org/10.4103/1673-5374.274331
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.