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Cited by 305

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Oxidants, antioxidants, and respiratory tract lining fluids.

Open access
Cross, C E, van der Vliet, A, O'Neill, C A, Louie, S, Halliwell, B·1994·Environmental Health Perspectives

Abstract

Respiratory tract lining fluids (RTLFs) are a heterogeneous group of substances covering the respiratory tract epithelial cells (RTECs) from nasal mucosa to alveoli. Antioxidant contained in the RTLFs can be expected to provide an initial defense against inhaled environmental toxins. The major antioxidants in RTLF include mucin, uric acid, protein (largely albumin), ascorbic acid, and reduced glutathione (GSH). RTLF antioxidants can be augmented by such processes as transudation/exudation of plasma constituents; RTEC secretory processes, including glandular mucus secretion; and cellular antioxidants derived from lysis of RTECs and of inflammatory cells. The antioxidant composition of RTLFs and their role in modulating normal and pathophysiologic RTEC functions under conditions of oxidative stress are yet to be fully characterized.

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Metadata

Authors
Cross, C. E., van der Vliet, A., O'Neill, C. A., Louie, S., & Halliwell, B.
Venue
Environmental Health Perspectives
Published
1994-12
Volume
102
Issue
suppl 10
Pages
185-191
ISSN
  • 0091-6765 (ISSN-L)
  • 1552-9924
OpenAlex
W2051389808
Cited by
305
References
71
FWCI
6.50
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Oxidants, antioxidants, and respiratory tract lining fluids. https://app.cochat.ai/papers/10.1289/ehp.94102s10185
The paper
Cross, C. E., van der Vliet, A., O'Neill, C. A., Louie, S., & Halliwell, B. (1994). Oxidants, antioxidants, and respiratory tract lining fluids. Environmental Health Perspectives. https://doi.org/10.1289/ehp.94102s10185

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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.