The DOI matches its Crossref record; 313 of the 313 references it cites were found in a registry or an index.
Body Localization of ACE-2: On the Trail of the Keyhole of SARS-CoV-2
Open accessAbstract
The explosion of the new coronavirus (SARS-CoV-2) pandemic has brought the role of the angiotensin converting enzyme 2 (ACE2) back into the scientific limelight. Since SARS-CoV-2 must bind the ACE2 for entering the host cells in humans, its expression and body localization are critical to track the potential target organ of this infection and to outline disease progression and clinical outcomes. Here, we mapped the physiological body distribution, expression, and activities of ACE2 and discussed its potential correlations and mutal interactions with the disparate symptoms present in SARS-CoV-2 patients at the level of different organs. We highlighted that despite during SARS-CoV-2 infection ACE2-expressing organs may become direct targets, leading to severe pathological manifestations, and subsequent multiple organ failures, the exact mechanism and the potential interactions through which ACE2 acts in these organs is still heavily debated. Further scientific efforts, also considering a personalized approach aimed to consider specific patient differences in the mutual interactions ACE2-SARS-CoV-2 and the long-term health effects associated with COVID-19 are currently mandatory.
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1 retracted
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La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
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Tissue-based map of the human proteome
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Metadata
- Authors
- Salamanna, F., Maglio, M., Landini, M. P., & Fini, M.
- Venue
- Frontiers in Medicine
- Publisher
- Frontiers Media SA
- Published
- 2020-12-03
- Volume
- 7
- Pages
- 594495-594495
- ISSN
- 2296-858X (ISSN-L)
- OpenAlex
- W3109352459
- Cited by
- 281
- References
- 313
- FWCI
- 5.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Salamanna, F., Maglio, M., Landini, M. P., & Fini, M. (2020). Body Localization of ACE-2: On the Trail of the Keyhole of SARS-CoV-2. Frontiers in Medicine. https://doi.org/10.3389/fmed.2020.594495
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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.