The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Signaling pathways involved in ischemic stroke: molecular mechanisms and therapeutic interventions
Open accessAbstract
Ischemic stroke is caused primarily by an interruption in cerebral blood flow, which induces severe neural injuries, and is one of the leading causes of death and disability worldwide. Thus, it is of great necessity to further detailly elucidate the mechanisms of ischemic stroke and find out new therapies against the disease. In recent years, efforts have been made to understand the pathophysiology of ischemic stroke, including cellular excitotoxicity, oxidative stress, cell death processes, and neuroinflammation. In the meantime, a plethora of signaling pathways, either detrimental or neuroprotective, are also highly involved in the forementioned pathophysiology. These pathways are closely intertwined and form a complex signaling network. Also, these signaling pathways reveal therapeutic potential, as targeting these signaling pathways could possibly serve as therapeutic approaches against ischemic stroke. In this review, we describe the signaling pathways involved in ischemic stroke and categorize them based on the pathophysiological processes they participate in. Therapeutic approaches targeting these signaling pathways, which are associated with the pathophysiology mentioned above, are also discussed. Meanwhile, clinical trials regarding ischemic stroke, which potentially target the pathophysiology and the signaling pathways involved, are summarized in details. Conclusively, this review elucidated potential molecular mechanisms and related signaling pathways underlying ischemic stroke, and summarize the therapeutic approaches targeted various pathophysiology, with particular reference to clinical trials and future prospects for treating 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
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971
Feigin, V. L., Forouzanfar, M. H., Krishnamurthi, R., Mensah, G. A., Connor, M., Bennett, D. A., Moran, A. E., Sacco, R. L., Anderson, L., Truelsen, T., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61953-4 · Cited by 3,899
Self-citationRegulation mechanisms and signaling pathways of autophagy
He, C., & Klionsky, D. J. (2009) · Annual Review of Genetics · doi:10.1146/annurev-genet-102808-114910 · Cited by 3,609
Kleindorfer, D. O., Towfighi, A., Chaturvedi, S., Cockroft, K. M., Gutierrez, J., Lombardi-Hill, D., Kamel, H., Kernan, W. N., Kittner, S. J., Leira, E. C., et al. (2021) · Stroke · doi:10.1161/str.0000000000000375 · Cited by 3,237
Baines, C. P., Kaiser, R. A., Purcell, N. H., Blair, N. S., Osinska, H., Hambleton, M. A., Brunskill, E. W., Sayen, M. R., Gottlieb, R. A., Dorn, G. W., et al. (2005) · Nature · doi:10.1038/nature03434 · Cited by 2,280
Interleukin-1 in the pathogenesis and treatment of inflammatory diseases
Dinarello, C. A. (2011) · Blood · doi:10.1182/blood-2010-07-273417 · Cited by 2,248 · cited 1×
“The IL-1 family constitutes a huge and complex network of pleiotropic pro-inflammatory cytokines closely involved in regulating immune cells and inflammatory processes.(236) Among IL-1 family members, IL-1α, IL-1β, and IL-1Rα have been studied in detail in relation to ischemic stroke.”
BackgroundMTOR: a pharmacologic target for autophagy regulation
Kim, Y. C., & Guan, K.-L. (2015) · Journal of Clinical Investigation · doi:10.1172/jci73939 · Cited by 2,126
The Science of Stroke: Mechanisms in Search of Treatments
Moskowitz, M. A., Lo, E. H., & Iadecola, C. (2010) · Neuron · doi:10.1016/j.neuron.2010.07.002 · Cited by 1,930
Regulated necrosis: the expanding network of non-apoptotic cell death pathways
Berghe, T. V., Linkermann, A., Jouan-Lanhouet, S., Walczak, H., & Vandenabeele, P. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3737 · Cited by 1,735
Extrasynaptic NMDARs oppose synaptic NMDARs by triggering CREB shut-off and cell death pathways
Hardingham, G. E., Fukunaga, Y., & Bading, H. (2002) · Nature Neuroscience · doi:10.1038/nn835 · Cited by 1,686
Nakagawa, T., Shimizu, S., Watanabe, T., Yamaguchi, O., Otsu, K., Yamagata, H., Inohara, H., Kubo, T., & Tsujimoto, Y. (2005) · Nature · doi:10.1038/nature03317 · Cited by 1,635
Excitotoxicity and stroke: Identifying novel targets for neuroprotection
Lai, T. W., Zhang, S., & Wang, Y. T. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.11.006 · Cited by 1,106
Temporal and Spatial Dynamics of Cerebral Immune Cell Accumulation in Stroke
Gelderblom, M., Leypoldt, F., Steinbach, K., Behrens, D., Choe, C.-U., Siler, D. A., Arumugam, T. V., Orthey, E., Gerloff, C., Tolosa, E., et al. (2009) · Stroke · doi:10.1161/strokeaha.108.534503 · Cited by 1,066
Receptor trafficking and synaptic plasticity
Collingridge, G. L., Isaac, J. T. R., & Wang, Y. T. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1556 · Cited by 1,046
Requirement for BDNF in activity-dependent survival of cortical neurons
Ghosh, A., Carnahan, J., & Greenberg, M. E. (1994) · Science · doi:10.1126/science.7907431 · Cited by 989
Microglial Phagocytosis of Live Neurons
Brown, G. C., & Neher, J. J. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3710 · Cited by 853
Identification of a Signaling Pathway Involved in Calcium Regulation of BDNF Expression
Shieh, P. B., Hu, S.-C., Bobb, K., Timmusk, T., & Ghosh, A. (1998) · Neuron · doi:10.1016/s0896-6273(00)81011-9 · Cited by 693
Interleukin-6 and its receptors: a highly regulated and dynamic system
Wolf, J., Rose-John, S., & Garbers, C. (2014) · Cytokine · doi:10.1016/j.cyto.2014.05.024 · Cited by 618
Rahimifard, M., Maqbool, F., Moeini-Nodeh, S., Niaz, K., Abdollahi, M., Braidy, N., Nabavi, S. M., & Nabavi, S. F. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.02.004 · Cited by 481
Absence of the Chemokine Receptor CCR2 Protects Against Cerebral Ischemia/Reperfusion Injury in Mice
Dimitrijevic, O. B., Stamatovic, S. M., Keep, R. F., & Andjelkovic, A. V. (2007) · Stroke · doi:10.1161/01.str.0000259709.16654.8f · Cited by 368
Targeting HMGB1 in inflammation
Yang, H., & Tracey, K. J. (2010) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2009.11.019 · Cited by 351
Dealing with danger in the CNS: the response of the immune system to injury
Gadani, S. P., Walsh, J. T., Lukens, J. R., & Kipnis, J. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.019 · Cited by 342
McColl, B. W., Rothwell, N. J., & Allan, S. M. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5376-06.2007 · Cited by 337
Macrophage complement receptors and pathogen clearance
van Lookeren Campagne, M., Wiesmann, C., & Brown, E. J. (2007) · Cellular Microbiology · doi:10.1111/j.1462-5822.2007.00981.x · Cited by 332
Functional differences between microglia and monocytes after ischemic stroke
Ritzel, R. M., Patel, A. R., Grenier, J. M., Crapser, J., Verma, R., Jellison, E. R., & McCullough, L. D. (2015) · Journal of Neuroinflammation · doi:10.1186/s12974-015-0329-1 · Cited by 295
Duval, X., Iung, B., Klein, I., Brochet, E., Thabut, G., Arnoult, F., Lepage, L., Laissy, J.-P., Wolff, M., Leport, C., et al. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-152-8-201004200-00006 · Cited by 289
Microglial cell loss after ischemic stroke favors brain neutrophil accumulation
Otxoa-de-Amezaga, A., Miró-Mur, F., Pedragosa, J., Gallizioli, M., Justicia, C., Gaja-Capdevila, N., Ruíz-Jaen, F., Salas-Perdomo, A., Bosch, A., Calvo, M., et al. (2019) · Acta Neuropathologica · doi:10.1007/s00401-018-1954-4 · Cited by 258
Livingston, M. J., Wang, J., Zhou, J., Wu, G., Ganley, I. G., Hill, J. A., Yin, X.-M., & Dong, Z. (2019) · Autophagy · doi:10.1080/15548627.2019.1615822 · Cited by 254
Hammond, M. D., Taylor, R. A., Mullen, M. T., Ai, Y., Aguila, H. L., Mack, M., Kasner, S. E., McCullough, L. D., & Sansing, L. H. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4070-13.2014 · Cited by 226
Jung, J. E., Kim, G. S., & Chan, P. H. (2011) · Stroke · doi:10.1161/strokeaha.111.626648 · Cited by 127 · cited 1×
“Second, CK2 reportedly phosphorylates Janus kinase and signal transducer and activator of transcription 3 (STAT3), enabling ROS detoxification by superoxide dismutase 2 (SOD2).(124,125) Third, CK2 activates HIF-1α and phosphorylates NF-κB to promote the release of vascular endothelial growth factor (VEGF) and angiogen…”
BackgroundLiu, H., Wang, Y., Xiao, Y., Hua, Z., Cheng, J., & Jia, J. (2016) · Translational Stroke Research · doi:10.1007/s12975-016-0459-5 · Cited by 80
Cited by
Remyelination in multiple sclerosis from the miRNA perspective
Maciak, K., Dziedzic, A., & Saluk, J. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1199313 · Cited by 28
Metadata
- Authors
- Qin, C., Yang, S., Chu, Y.-H., Zhang, H., Pang, X.-W., Chen, L., Zhou, L.-Q., Chen, M., Tian, D.-S., & Wang, W.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2022-07-06
- Volume
- 7
- Issue
- 1
- Pages
- 215-215
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4284888481
- Cited by
- 939
- References
- 31
- FWCI
- 105.94
- 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
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.
