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Cited by 576

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Role of TNFα in pulmonary pathophysiology

Open access
Mukhopadhyay, Srirupa, Hoidal, John R, Mukherjee, Tapan K·2006·Respiratory Research

Abstract

Tumor necrosis factor alpha (TNFα) is the most widely studied pleiotropic cytokine of the TNF superfamily. In pathophysiological conditions, generation of TNFα at high levels leads to the development of inflammatory responses that are hallmarks of many diseases. Of the various pulmonary diseases, TNFα is implicated in asthma, chronic bronchitis (CB), chronic obstructive pulmonary disease (COPD), acute lung injury (ALI) and acute respiratory distress syndrome (ARDS). In addition to its underlying role in the inflammatory events, there is increasing evidence for involvement of TNFα in the cytotoxicity. Thus, pharmacological agents that can either suppress the production of TNFα or block its biological actions may have potential therapeutic value against a wide variety of diseases. Despite some immunological side effects, anti-TNFα therapeutic strategies represent an important breakthrough in the treatment of inflammatory diseases and may have a role in pulmonary diseases characterized by inflammation and cell death.

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Metadata

Authors
Mukhopadhyay, S., Hoidal, J. R., & Mukherjee, T. K.
Venue
Respiratory Research
Published
2006-10-11
Volume
7
Issue
1
Pages
125-125
ISSN
  • 1465-9921 (ISSN-L)
  • 1465-993X
OpenAlex
W2102996167
Cited by
576
References
4
FWCI
16.08
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Role of TNFα in pulmonary pathophysiology. https://app.cochat.ai/papers/10.1186/1465-9921-7-125
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Mukhopadhyay, S., Hoidal, J. R., & Mukherjee, T. K. (2006). Role of TNFα in pulmonary pathophysiology. Respiratory Research. https://doi.org/10.1186/1465-9921-7-125

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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.