The DOI matches its Crossref record; 516 of the 516 references it cites were found in a registry or an index.
Signaling pathways and targeted therapy for myocardial infarction
Open accessAbstract
Although the treatment of myocardial infarction (MI) has improved considerably, it is still a worldwide disease with high morbidity and high mortality. Whilst there is still a long way to go for discovering ideal treatments, therapeutic strategies committed to cardioprotection and cardiac repair following cardiac ischemia are emerging. Evidence of pathological characteristics in MI illustrates cell signaling pathways that participate in the survival, proliferation, apoptosis, autophagy of cardiomyocytes, endothelial cells, fibroblasts, monocytes, and stem cells. These signaling pathways include the key players in inflammation response, e.g., NLRP3/caspase-1 and TLR4/MyD88/NF-κB; the crucial mediators in oxidative stress and apoptosis, for instance, Notch, Hippo/YAP, RhoA/ROCK, Nrf2/HO-1, and Sonic hedgehog; the controller of myocardial fibrosis such as TGF-β/SMADs and Wnt/β-catenin; and the main regulator of angiogenesis, PI3K/Akt, MAPK, JAK/STAT, Sonic hedgehog, etc. Since signaling pathways play an important role in administering the process of MI, aiming at targeting these aberrant signaling pathways and improving the pathological manifestations in MI is indispensable and promising. Hence, drug therapy, gene therapy, protein therapy, cell therapy, and exosome therapy have been emerging and are known as novel therapies. In this review, we summarize the therapeutic strategies for MI by regulating these associated pathways, which contribute to inhibiting cardiomyocytes death, attenuating inflammation, enhancing angiogenesis, etc. so as to repair and re-functionalize damaged hearts.
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
7 retracted
Gong, X., Liu, H., Wang, S., Liang, S., & Wang, G. (2019) · Journal of Cellular Physiology · doi:10.1002/jcp.28070 · Cited by 140
Self-citationRetractedWang, Y., Yang, X., Jiang, A., Wang, W. T., Li, J., & Wen, J. (2019) · The FASEB Journal · doi:10.1096/fj.201900310r · Cited by 47
Self-citationRetractedChen, P., Wu, R., Zhu, W., Jiang, Z., Xu, Y., Chen, H., Zhang, Z., Chen, H., Zhang, L., Yu, H., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103587 · Cited by 43
RetractedQiu, L., Zhao, Q. L., Dai, L.-L., Zhu, A., Xu, X., Zhao, S., & Chen, J. (2020) · Artificial Cells Nanomedicine and Biotechnology · doi:10.1080/21691401.2020.1725026 · Cited by 31
RetractedXu, H., Sui, F., Sun, M., & Guo, G. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.26945 · Cited by 27
RetractedZhang, Z.-W., Li, H., Cui, Z., Zhou, Z., Chen, S., Ma, J., Hou, L., Pan, X., & Li, Q. (2019) · Artificial Cells Nanomedicine and Biotechnology · doi:10.1080/21691401.2019.1652630 · Cited by 24
RetractedWu, Y., Wu, M., Yang, J., Li, Y., Peng, W., Wu, M., Yu, C., & Fang, M. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.645378 · Cited by 18
RetractedRepertoires 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
Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019
Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., Barengo, N. C., Beaton, A. Z., Benjamin, E. J., Benziger, C. P., et al. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.11.010 · Cited by 11,449
Self-citationChen, Y., Wang, L., Kang, Q., Zhang, X., Yu, G., Wan, X., Wang, J., & Zhu, K. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000477308 · Cited by 10,679
Self-citation
Cited by
Stem cell-based therapy for human diseases
Hoang, D. M., Pham, P. T., Bach, T. Q., Ngo, A. T. L., Nguyen, Q. T., Phan, T. T. K., Nguyen, G. H., Le, P. T. T., Hoang, V. T., Forsyth, N. R., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01134-4 · Cited by 1,074
Cellular mechanotransduction in health and diseases: from molecular mechanism to therapeutic targets
Di, X., Gao, X., Peng, L., Ai, J., Jin, X., Qi, S., Li, H., Wang, K., & Luo, D. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01501-9 · Cited by 622
Wnt/β-catenin signaling pathway in carcinogenesis and cancer therapy
Song, P., Gao, Z., Bao, Y., Chen, L., Huang, Y., Liu, Y., Dong, Q., & Wei, X. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01563-4 · Cited by 382
Tkaczenko, H., & Kurhaluk, N. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26031098 · Cited by 80
Wang, S., Pei, G., Shen, J., Fang, Z., Chen, T., Wang, L., Cheng, H., Li, H., Pei, H., Feng, Q., et al. (2026) · Journal of Advanced Research · doi:10.1016/j.jare.2025.04.019 · Cited by 6
“After MI, the activation of signaling pathways, such as the Toll-like receptor (TLR) and transforming growth factor beta (TGF-b ) signaling pathways, leads to the infiltration of inflamma-tory cells and the proliferation and differentiation of c ardiac fibroblasts in the infarct region [16].”
Self-citation
Metadata
- Authors
- Zhang, Q., Wang, L., Wang, S., Cheng, H., Xu, L., Pei, G., Wang, Y., Fu, C., Jiang, Y., He, C., & Wei, Q.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2022-03-10
- Volume
- 7
- Issue
- 1
- Pages
- 78-78
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4220711829
- Cited by
- 831
- References
- 516
- FWCI
- 103.09
- 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: Signaling pathways and targeted therapy for myocardial infarction. https://app.cochat.ai/papers/10.1038/s41392-022-00925-z
- The paper
- Zhang, Q., Wang, L., Wang, S., Cheng, H., Xu, L., Pei, G., Wang, Y., Fu, C., Jiang, Y., He, C., & Wei, Q. (2022). Signaling pathways and targeted therapy for myocardial infarction. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-022-00925-z
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.