The DOI matches its Crossref record; 195 of the 195 references it cites were found in a registry or an index.
Contribution of Neutrophils to Acute Lung Injury
Open accessAbstract
Treatment of acute lung injury (ALI) and its most severe form, acute respiratory distress syndrome (ARDS), remain unsolved problems of intensive care medicine. ALI/ARDS are characterized by lung edema due to increased permeability of the alveolar-capillary barrier and subsequent impairment of arterial oxygenation. Lung edema, endothelial and epithelial injury are accompanied by an influx of neutrophils into the interstitium and broncheoalveolar space. Hence, activation and recruitment of neutrophils are regarded to play a key role in progression of ALI/ARDS. Neutrophils are the first cells to be recruited to the site of inflammation and have a potent antimicrobial armour that includes oxidants, proteinases and cationic peptides. Under pathological circumstances, however, unregulated release of these microbicidal compounds into the extracellular space paradoxically can damage host tissues. This review focuses on the mechanisms of neutrophil recruitment into the lung and on the contribution of neutrophils to tissue damage in ALI.
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Neutrophil recruitment and function in health and inflammation
Kolaczkowska, E., & Kubes, P. (2013) · Nature Reviews Immunology · doi:10.1038/nri3399 · Cited by 5,472
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Role of Chemokines in the Pathogenesis of Acute Lung Injury
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Could Vitamins Help in the Fight Against COVID-19?
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Metadata
- Authors
- Grommes, J., & Soehnlein, O.
- Venue
- Molecular Medicine
- Published
- 2010-10-18
- Volume
- 17
- Issue
- 3-4
- Pages
- 293-307
- ISSN
- 1076-1551 (ISSN-L)
- 1528-3658
- OpenAlex
- W2182355171
- Cited by
- 1,313
- References
- 195
- FWCI
- 30.50
- Type
- journal article
- Language
- en
- Open access
- gold
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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.