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Cited by 172

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Oxygen Tensions and Infections: Modulation of Microbial Growth, Activity of Antimicrobial Agents, and Immunologic Responses

Park, M. K., Myers, R. A. M., Marzella, L.·1992·Clinical Infectious Diseases

Abstract

Oxygen tensions play an important role in the outcome of infections. Oxygen is cidal or static for microorganisms that lack defenses against oxidants. Hyperoxia and hyperbaric oxygen exert antimicrobial effects by increasing the intracellular flux of reactive oxygen species. In bacteria, such species cause DNA strand breaks, degradation of RNA, inhibition of amino acid biosynthesis, and inactivation of membrane transport proteins. Oxygen tensions also affect the activity of antimicrobial agents. In general, hyperoxia potentiates while anaerobiosis decreases the activity of many antimicrobial drugs. With regard to host defenses, hyperoxia elevates oxygen tensions in infected tissues to levels that facilitate oxygen-dependent killing by leukocytes. Prolonged hyperoxia inhibits DNA synthesis in lymphocytes and impairs chemotactic activity, adherence, phagocytic capacity, and generation of the oxidative burst in polymorphonuclear leukocytes and macrophages.

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Crossref · 10.1093/clinids/14.3.720

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Metadata

Authors
Park, M. K., Myers, R. A. M., & Marzella, L.
Venue
Clinical Infectious Diseases
Published
1992-03-01
Volume
14
Issue
3
Pages
720-740
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2068403157
Cited by
172
References
2
FWCI
1.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Oxygen Tensions and Infections: Modulation of Microbial Growth, Activity of Antimicrobial Agents, and Immunologic Responses. https://app.cochat.ai/papers/10.1093/clinids/14.3.720
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Park, M. K., Myers, R. A. M., & Marzella, L. (1992). Oxygen Tensions and Infections: Modulation of Microbial Growth, Activity of Antimicrobial Agents, and Immunologic Responses. Clinical Infectious Diseases. https://doi.org/10.1093/clinids/14.3.720

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.